International Journal of Innovative

Technology and Exploring Engineering

ISSN : 2278 - 3075Website: www.ijitee.org

Volume-8 Issue-2S, DECEMBER 2018

Published by: Blue Eyes Intelligence Engineering and Sciences Publication

Published by: Blue Eyes Intelligence Engineering and Sciences Publication

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Exploring Innovation

www.ijitee.org

IjItEeIjItEe

EXPLORING INNOVA

TION

Editor-In-Chief Chair Dr. Shiv Kumar

Ph.D. (CSE), M.Tech. (IT, Honors), B.Tech. (IT), Senior Member of IEEE

Professor, Department of Computer Science & Engineering, Lakshmi Narain College of Technology Excellence (LNCTE), Bhopal

(M.P.), India

Associated Editor-In-Chief Chair Dr. Vinod Kumar Singh

Associate Professor and Head, Department of Electrical Engineering, S.R.Group of Institutions, Jhansi (U.P.), India

Associated Editor-In-Chief Members Dr. Hai Shanker Hota

Ph.D. (CSE), MCA, MSc (Mathematics)

Professor & Head, Department of CS, Bilaspur University, Bilaspur (C.G.), India

Dr. Gamal Abd El-Nasser Ahmed Mohamed Said

Ph.D(CSE), MS(CSE), BSc(EE)

Department of Computer and Information Technology , Port Training Institute, Arab Academy for Science ,Technology and Maritime

Transport, Egypt

Dr. Mayank Singh

PDF (Purs), Ph.D(CSE), ME(Software Engineering), BE(CSE), SMACM, MIEEE, LMCSI, SMIACSIT

Department of Electrical, Electronic and Computer Engineering, School of Engineering, Howard College, University of KwaZulu-

Natal, Durban, South Africa.

Scientific Editors Prof. (Dr.) Hamid Saremi

Vice Chancellor of Islamic Azad University of Iran, Quchan Branch, Quchan-Iran

Dr. Moinuddin Sarker

Vice President of Research & Development, Head of Science Team, Natural State Research, Inc., 37 Brown House Road (2nd Floor)

Stamford, USA.

Dr. Shanmugha Priya. Pon

Principal, Department of Commerce and Management, St. Joseph College of Management and Finance, Makambako, Tanzania, East

Africa, Tanzania

Dr. Veronica Mc Gowan

Associate Professor, Department of Computer and Business Information Systems,Delaware Valley College, Doylestown, PA, Allman,

China.

Dr. Fadiya Samson Oluwaseun

Assistant Professor, Girne American University, as a Lecturer & International Admission Officer (African Region) Girne, Northern

Cyprus, Turkey.

Dr. Robert Brian Smith

International Development Assistance Consultant, Department of AEC Consultants Pty Ltd, AEC Consultants Pty Ltd, Macquarie

Centre, North Ryde, New South Wales, Australia

Dr. Durgesh Mishra

Professor & Dean (R&D), Acropolis Institute of Technology, Indore (M.P.), India

Executive Editor Chair Dr. Deepak Garg

Professor & Head, Department Of Computer Science And Engineering, Bennett University, Times Group, Greater Noida (UP), India

Executive Editor Members Dr. Vahid Nourani

Professor, Faculty of Civil Engineering, University of Tabriz, Iran.

Dr. Saber Mohamed Abd-Allah

Associate Professor, Department of Biochemistry, Shanghai Institute of Biochemistry and Cell Biology, Shanghai, China.

Dr. Xiaoguang Yue

Associate Professor, Department of Computer and Information, Southwest Forestry University, Kunming (Yunnan), China.

Dr. Labib Francis Gergis Rofaiel

Associate Professor, Department of Digital Communications and Electronics, Misr Academy for Engineering and Technology,

Mansoura, Egypt.

Dr. Hugo A.F.A. Santos

ICES, Institute for Computational Engineering and Sciences, The University of Texas, Austin, USA.

Dr. Sunandan Bhunia

Associate Professor & Head, Department of Electronics & Communication Engineering, Haldia Institute of Technology, Haldia

(Bengal), India.

Dr. Awatif Mohammed Ali Elsiddieg

Assistant Professor, Department of Mathematics, Faculty of Science and Humatarian Studies, Elnielain University, Khartoum Sudan,

Saudi Arabia.

Technical Program Committee Chair Dr. Mohd. Nazri Ismail

Associate Professor, Department of System and Networking, University of Kuala (UniKL), Kuala Lumpur, Malaysia.

Technical Program Committee Members Dr. Srilalitha Girija Kumari Sagi

Associate Professor, Department of Management, Gandhi Institute of Technology and Management, Visakhapatnam (A.P.) India.

Dr. Vishnu Narayan Mishra

Associate Professor, Department of Mathematics, Sardar Vallabhbhai National Institute of Technology, Ichchhanath Mahadev Dumas

Road, Surat (Gujarat), India.

Dr. Sripada Rama Sree

Vice Principal, Associate Professor, Department of Computer Science and Engineering, Aditya Engineering College, Surampalem

(Andhra Pradesh), India.

Dr. Ramzi Raphael Ibraheem Al Barwari

Assistant Professor, Department of Mechanical Engineering, College of Engineering, Salahaddin University – Hawler (SUH) Erbil –

Kurdistan, Erbil Iraq.

Dr. Kapil Chandra Agarwal

H.O.D. & Professor, Department of Applied Sciences & Humanities, Radha Govind Engineering College, U. P. Technical University,

Jai Bheem Nagar, Meerut, (U.P). India.

Convener Chair Mr. Jitendra Kumar Sen

Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal (M.P.), India

Editorial Chair Dr. Saeed Balochian

Associate Professor, Gonaabad Branch, Islamic Azad University, Gonabad, Iran.

Editorial Members Dr. Gyanesh Shrivastava

Associate Professor, Department of Information Technology, MATS University, Raipur (Chhattisgarh), India.

Dr. Swapnil B. Mohod

Assistant Professor, Department of Electrical Engineering, Prof. Ram Meghe College of Engineering & Management, Badnera,

Amravati (Maharashtra), India.

Dr. Subramani Roychoudri

Professor, Department of Computer Science and Engineering, Usha Rama College of Engineering and Technology, Telaprolu (Andhra

Pradesh), India.

Dr. KPNV Satyasree

Professor, Department of Computer Science and Engineering, Usha Rama College of Engineering and Technology, Telaprolu (Andhra

Pradesh), India.

Dr. Parul Mishra

Assistant Professor, Department of English, GD Goenka University Gurugram, Gurgaon (Haryana), India.

S.

No

Volume-8 Issue-2S, December 2018, ISSN: 2278-3075 (Online)

Published By: Blue Eyes Intelligence Engineering & Sciences Publication

Page

No.

1.

Authors: D.V.S.Sankara Reddy, K.Kowshik, M.Jugal Kishor, R.Vijaya Durga, V.Pavan Kumar Reddy

Paper Title: Enhancement of Soil Properties by using Fly Ash and Metakaolin

Abstract: In the presence scenario the economy of a structure is depending upon the type of construction of sub-

structure. The load coming from the superstructure is not adequately bear by the soil, it should be strengthened

enough by any of soil modification techniques (soil stabilization). In India expansive soil deposits areone of the

prime soil deposits in India. The functioning of expansive soils are mainly depends on the existence of

Montmorillonite clay mineral, which has an expansive matrix. These types of soil can exhibit high bulging and

compressing aspects and have less strength. The problems associated with expansive soil could be revamp by

using the admixtures like lime, cement, fly ash, stone dust, quarry dust, rice husk ash etc. So, expansive soils are

treated with addition of admixtures is one of the effective soil stabilization methods to strengthen the expansive

soils. Numerous researches, all over the earth, are working to develop effective and feasible treatment methods to

reduce the problems posed to the construction of paved and unpaved roadson expansive soil sub grade.In this

present work laboratory tests were carry out to examine the effectiveness of dissimilar additives are Fly Ash,

Metakaolin, Fly Ash + Metakaolin Combinations, in modifying the expansive soil sub grade properties, thereby

improving the strength and reducing the swelling and shrinking phenomenon of expansive soil.

Keywords: Keywords: Expansive Soil; Pavements; Fly Ash; Metakaolin.

References: 1. Gromko, G.J., Review of Expansive soils, Jr. of Geotechnical Engineering Division, ASCE, Vol. 100, No.6, 1974, pp. 667-687.

2. Wayne, A.C., Mohamed, A.O., and El-Faith, M.A., Construction on Expansive Soils in Sudan, Jr. of Construction Engineering and

Management, Vol. 110, 1984, pp. 359-374. 3. Mowafy, M. and Yousry, M., Treatmetn of Expansive Soils: A laboratory study, TRR-1032, TRB, Washington, 1985, pp. 34-39.

4. Kehew, E.A., Geology for Engineers and Environmental Scientists, 2nd Ed., Prentice Hall Englewood Cliffs, New Jersey 1995, pp. 295-

302. 5. Konstantinos G. Kolovos, Panagiotis G Asteris, Demetrios M. Co... and S. Tsivilis, “Mechanical properties of soilcrete mixtures modified

with metakaolin”, Construction and Building Materials 47, 2013, pp. 1026–1036.

6. S. Y. Umar, A. U. Elinwa1 and D. S. Matawal, “Hydraulic Conductivity of Compacted Lateritic Soil Partially Replaced with Metakaolin”, Journal of Environment and Earth Science, Vol.5, No.4, 2015.

7. VenkateswarluDumpa, Rajesh Vipparty, Anjan Kumar Mantripragada, Prasada Raju G. V. R (2016), “Evaluating the strength

characteristics of lime and metakaolin stabilized expansive soil”. Indian Geotechnical Conference, IGC2016, pp.1-5.

1-6

2.

Authors: D.V. SivaSankara Reddy, M. Chittaranjan, C. Ravi Kumar Reddy, K. Kowshik

Paper Title: Performance Evaluation of Stone Column Installed Soft Ground- A Parametric Study with Numerical

Investigation

Abstract: Installation of stone column is one of the effective solutions to improve the engineering properties of

the soft ground. This paper investigates the performance of stone column treated ground beneath the embankment

by using finite element method (FEM) using PLAXIS 2D. The consolidation effect of soft soil due to inclusions of

stone columns has been addressed in this study. Numerical predictions are analyzed in terms of settlements,

increments in vertical effective stresses, consolidation time and excess pore pressures. Firstly, the effectiveness of

the use of stone column is studied. Afterwards, a parametric study has been performed to study the influence on

height of the clay layer, height of the embankment fill, length variation in stone columns and the area replacement

ratio. Furthermore, due to the installation of stone columns, improved effective stresses in the influence zone have

been plotted.

Keywords: Soft Soil; Stone column; Effective Stress; Settlements; PLAXIS 8.6(2D)

References: 1. Oliveria, PJ. V., Pinherio, JL.P., Antonio, A. A., and Correia, AA. A. (2011), Numerical analysis of an embankment built on soft soil

reinforced with deep mixing columns: Parametric study. Computers and Geotechnics, Elsevier, 38(X): 566-576

2. Porbaha, A. (2000). State of the Art in Deep Mixing Technology. Part IV: Design Considerations. Ground Improvement, 4(3), 111–125

3. Porbaha, A. (1998). State of the art in deep mixing technology. Part-I – basic concepts and overview, Ground Improvement. 2: 1-19 4. Kjellman, W. (1952), Consolidation of clay soil by means of atmospheric pressure. Proc. of Conference on Soil Stabilization, Cambridge,

Mass., 1952.pp.258-263

5. Bergado, D. T., Manivannan, R., Balasubramaniam, A.S. 1996.Proposed criteria for discharge capacity of prefabricated vertical drains. Geotextiles and Geomembranes 14 (1996), 481-505

6. Indraratna, B., Aljorany, A., and Rujikiatkamjorn, C. (2008). Analytical and numerical modeling of consolidation by sand drains beneath

a circular embankment. The international journal of geomechanics, 1-18. 7. Lee, J.S., and Pande, G.N. (1996). “Analysis of Stone-Column Reinforced Foundations” International Journal for Numerical and

Analytical Methods in Geomechanics, Vol. 22, pp. 1001-1020.

8. Greenwood, D.A. (1970). “Mechanical Improvement of Soils Below Ground Surface”, Proc. Conf. on Ground Engineering. Institute of Civil Engineering, London.

9. Madhav, M.R., and Vitkar, P.P. (1978). “Strip Footing on Weak Clay Stabilized with Granular Trench or Pile”, Canadian Geotechnical

Journal, Vol. 15, No.4. 10. Datye, K.R. (1980). “Settlement and Bearing Capacity of Foundation System with Stone Column”, Symposium on Recent Developments

in Ground Improvement Technics, pp. 85-103.

11. Indraratna, B., Aljorany, A., and Rujikiatkamjorn, C. (2009). Analytical and numerical modeling of consolidation by sand drains beneath a circular embankment. The international journal of geomechanics, 1-18.

12. Alexiew, D., Brokemper, D., Lothspeich, S., 2005. Geotextile Encased Columns: Load Capacity, Geotextile Selection and Pre-Design

Graphs. Proceedings of the Geo-Frontiers Conference, Austin, Texas, January. Geotechnical Special PublicationNo. 131. ASCE, pp. 497–

7-13

510.

13. Huang, M., 2007. Behaviour of a highway embankment on stone columns improved estuarine clay. Proceedings of 16th Southeast Asian

Geotechnical Conference, Malaysia, vol. 1, pp. 567–572. 14. Oh E.Y.N., Balasubramaniam, A.S., Bolton, M., Surarak, C., Bolton, M., Chai, G.W.K.,Potts, D.M., Ganendra, D., 1991. Discussion on

Finite element analysis of the collapseof reinforced embankment on soft ground by Hird C.C., Pyrah I.C., RusselD.Geotechnique 41 (4),

627–630.

15. Malavizhi, Ilamparuthi, 2007. Comparative study on the behavior of encasedstone column and conventional stone column. Soils and

Foundations 47 (5),873–885.

16. Alexiew, D., Brokemper, D., Lothspeich, S., 2005. Geotextile Encased Columns: LoadCapacity, Geotextile Selection and Pre-Design Graphs. Proceedings of the Geo-Frontiers Conference, Austin, Texas, January. Geotechnical Special PublicationNo. 131. ASCE, pp. 497–

510.

17. Barksdale, R.D., Bachus, R.C., 1983. Design and construction of stone columns. FHWAReport No. RD-83/026, 194p. 18. Wu, C.S., Hong, Y.S., 2009. Laboratory tests on geosynthetic encapsulated sand columns. Geotextiles and Geomembranes 27 (2), 107–

120. doi:10.1016/j.geotexmem.2008.09.003.

19. Murugesan, S., Rajagopal, K., 2006. Geosynthetic-encased stone columns: numerical evaluation. Geotextiles and Geomembranes 24 (6), 349–358.

20. Bowles (1988). Foundation Analysis and Design, 4thedition, McGraw – Hill International Editions,NewDelhi.Datye, K.R. and

Nagaraju,S.S. (1981). Design Approach and Field Control for Stone Columns, Proc. Tenth Int.Conf. On SMFE., Stockholm, Vol. 3, 637 – 640.

21. Hughes, J.M.O. and Withers, N.J. (1974). Reinforcing of Soft Cohesive Soils with Stone Columns, Ground Engineering, Vol.7, No.3, 42-

49. 22. Hughes, J.M.O., Withers, N.J. and Greenwood, D.A.(1975). A Field Trial of Reinforcing Effect of Stone Column in Soil ,Geotechnique,

Vol.25, No.1, 32-44.

23. Madhav, M.R.(2000).Granular Piles - Recent Contributions.A short term course on Ground Improvement and Deep foundations held at IIT Madras, Dec 2000, MRM1 -MRM38.

24. Mitchel, J.K. and Huber, T.R. (1985). Performance of a Stone Column Foundation. Journal of Geotechnical Engineering, Vol. 111, No. 2,

ASCE.

3.

Authors: D.V.SivaSankara Reddy, Ch.Gopal Reddy, M.Jugal Kishore, K.Kowshik

Paper Title: Evaluation of the Behavior of Geo-Synthetic Reinforced Soil Wall with Improved Soil as Backfill

Abstract: By using PLAXIS 8.6 a model had been developed to analyse the behaviour of Geo-synthetic

reinforced soil retaining wall constructed with a segmental concrete blocks. The models are used for observing

various parameters such as displacement of wall, stress generated along face of wall with respect to height of wall

and base conditions. The study describes PLAXIS 8.6 programme utilization in prediction of weak spots or point

of failures in a Reinforced wall and helps in avoiding such conditions and also makes the weak soil utilization in

construction of such walls with some limitations.

Keywords: GRS wall; nonlinear elastic-plastic model; PLAXIS 8.6; Backfill.

References: 1. MirmoradiS.M. and Ehrlich, M. (2014) “Numerical Evaluation of the Behaviour of GRS Walls with Segmental Block Facing under

Working Stress Conditions”. 10.1061/ (ASCE) GT.1943 -5606.0001235.© 2014 American Society of Civil Engineers. 2. KianooshHatami, and Richard J. Bathurst, (2006) “Numerical Model for Reinforced Soil Segmental Walls under Surcharge Loading.”

10.1061/ASCE 1090-0241 (2006)132:6-673.

3. K. Hatami and R. J. Bathurst, “Verification of a Numerical Model for Reinforced Soil Segmental Retaining Walls.”Deakinuniversity on 08/09/15.

4. KianooshHatami and Richard J. Bathurst ,“Development and verification of a numerical model for the analysis of geosynthetic-reinforced

soil segmental walls under working stress conditions.”Can. Geotech. J. 42: 1066–1085 (2005) 5. M. InancOnur, Mustafa Tuncan, BurakEvirgen, BertanOzdemir and AhmetTuncan, “Behaviour of Soil Reinforcements in Slopes.”

Advances in Transportation Geotechnics. The 3rd International Conference on Transportation Geotechnics (ICTG 2016) Volume 143,

2016, Pages 483–489. 6. S.H. Mirmoradi , M. Ehrlich, “Evaluation of the effect of toe restraint on GRS walls.”TransportationGeotechnics 8 (2016) 35–44.

7. M. Ehrlich, S.H. Mirmoradi, “Evaluation of the effects of facing stiffness and toe resistance on the behaviour of GRS walls.”Geotextiles

and Geomembranes 40 (2013) 28-36. 8. J. Han, J. Huang, and A. Porbaha, “2D Numerical Modelling of A Constructed Geosynthetic-Reinforced Embankment over Deep Mixed

Columns”,GSP 131 Contemporary Issues in Foundation Engineering.

9. S.M.B. Helwany, G. Reardon, J.T.H. Wu, “Effects of backfill on the performance of GRS retaining walls.” Geotextiles and Geomembranes 17 (1999) 1-16.

10. Huabei Liu, Xiangyu Wang , Erxiang Song, “ Long-term behaviour of GRS retaining walls with marginal backfill soils.” Geotextiles and

Geomembranes 27 (2009) 295–307. 11. S.H. Mirmoradi, M. Ehrlich, “Effects of facing, reinforcement stiffness, toe resistance, and height on reinforced walls.”Geotextiles and

Geomembranes xxx (2016) 1-10.

12. S.H. Mirmoradi, M. Ehrlich, “Modelling of the compaction-induced stress on reinforced soil wall .” Geotextiles and Geomembranes 43 (2015) 82-88.

13. S.H. Mirmoradi, M. Ehrlich, C. Dieguez, “ Evaluation of the combined effect of toe resistance and facing inclination on the behaviour of

GRS walls.” Geotextiles and Geomembranes 44 (2016) 287-294.

25. Mario Riccio, Mauricio Ehrlich, Daniel Dias, “Field monitoring and analyses of the response of a block-faced geogrid wall using fine-

grained tropical soils.” Geotextiles and Geomembranes 42 (2014) 127-138.

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4.

Authors: G. V. Praveen, S. Goverdhan Reddy

Paper Title: Liquifaction – a Geotechnical Engineering Challenge In Pavement Construction

Abstract: The primary function of subgrade is to provide a stable foundation for over lying layers of flexible

pavement. Hence, the long–term performance of flexible pavement structures is considerably affected by the

stability of the underlying soil layers. In general, in-situ subgrade soils may not provide the adequate support to

attain satisfactory performance under various traffic loading and environmental demands. Pavement performance

is merely dependent on properties of screening materials used to fill the voids of aggregate. It is required that at no

time soil subgrade is overstressed. Further, it is supposed to be compacted to the desirable density and near the

optimum moisture content. The prime reason for their failure was attributed to the use of low quality soils known

23-27

as marginal soils. Marginal soils have been used at several pavement project sites due to non–availability of select

soils. It is also reported that the pavements may be severely affected due the low quality soils are being allowed in

the construction in view of the growing scarcity for granular subgrade soils. Unsuitable highway sub grade soil

requires stabilization to improve its properties. The strength behavior of sub grade could be improved by

stabilization with lime or fly ash. It can potentially lessen ground improvement costs by adopting this method of

stabilization. This process is not only cost effective, but it also lessens the demand on non-renewable resources and

reduces the environmental footprint of a road construction project. Further, it is reported that, one of the factors of

concern is the failure of pavements due to liquefaction. When liquefaction occurs, the strength of the soil decreases

and the ability of a soil deposit to supporting pavements, foundations for buildings and bridges are reduced. In this

study an attempt is made to modify the properties of the marginal soil that can be improved by adding lime and fly

ash. Also, to modify and reduce the plasticity index of the marginal soil; consequently, the workability of the

marginal soil is examined, thus making marginal soils more effective under liquefaction.

Keywords: Marginal Soil; Stabilization; Liquefaction; Pavement Construction; Workability.

References: 1. Adams, M. J., and Rajesh, A. M. (2015). “Soil Stabilization Using Industrial Waste and Lime.” International Journal of Scientific

Research Engineering & Technology (IJSRET), ISSN 2278 – 0882 Volume 4, Issue 7, pp. 799-805.

2. Arvind, A. K., Walia, B. S., and Saran, S. (2006). “Design charts for isolated square footings of reinforced layered soil.” Proc. of IGC

2006, Chennai., pp. 443 - 444. 3. Kaniraj, S. R. and Gayathri, V. (2003). “Geotechnical Behavior of Fly Ash Mixed with Randomly Oriented Fiber Inclusions,” Journal of

Geotextile and Geomembranes, 21, 123- 149.

4. Kowalski, T.E., Starry, D.W., and America, J. W. (2007). “Modern soil stabilization techniques,” Annual conference of the Transportation Association of Canada, pp. 1-16.

5. Little, D. and S. Nair. (2008). “Report to Support the Development of Stabilization of Sulfate Rich Subgrade Soils and To Support the

Revisions of AASHTO Test Method T-290.” NCHRP 20-07. 6. Marathe, S., Kumar, A., and Avinash. (2015). “Stabilization of Lateritic Soil Subgrade Using Cement, Coconut Coir and Aggregates”,

International Journal of Innovative Research in Science, Engineering and Technology, Vol. 4, Issue 12, pp. 11907 – 11914.

7. Nagrale, P. P., Patil, A.P., and Shubham Bhaisare. (2005). “Strength Characteristics of Subgrade Stabilized With Lime, Fly Ash and Fibre.” International Journal of Engineering Research Volume No.5, Issue Special 1, pp. 74-79.

8. Porbaha, A., Shima, M., Miura, H., and Ishikura, K. (1999). “Dry Jet Mixing Method for Liquefaction Remediation.” The Proceedings of

the International Conference on Dry Mix Methods of Deep Soil Stabilization, Stockholm, Rotterdam. 9. Tewari, Y. C., Renu, C., Saini, R. P., Kapoor, K. J. S., and Rao, P. S. K. M. (2006). “Road surface condition evaluation equipment for

pavement management system.” Journal of the Indian Road Congress, Vol. 67 – 1, pp. 115 – 120.

10. Jones, D., Rahim, A., Saadeh, S., and Harvey, J.T. (2010). “Guidelines for the Stabilization of Subgrade Soils in California” FHWA No: CA122201A (2010).

11. 11. Negi, A.S., Faizan, M., Siddharth, D.P., and Singh, R. (2013). “Soil Stabilization Using Lime.” International Journal of Innovative

Research in Science, Engineering and Technology Vol. 2, Issue 2.

5.

Authors: S. Nithya, K.R. Aranganayagam, C. Nithesh

Paper Title: Atmospheric Pressure Plasma Surface Treatment of Rayon Fabrics

Abstract: The low temperature plasma is used to enhance the surface properties of rayon fabrics. The bulk

properties of rayon fabrics are not affected by plasma treatment which is confirmed by XRD and FTIR studies.

The investigation on the wettability of the rayon fabrics is the prime purpose of the study. The study includes the

outcome of the investigational parameters of the glow discharge such as the pressure of gas, the time taken for the

treatment and discharge voltage on the samples wettability.

Keywords: XRD, Plasma, Wettability, Rayon

References: 1. Bywater, N., 2011. The global viscose fibre industry in the 21st century—the first 10 years. Lenzinger Berichte, 89, pp.22-29.

2. Subbulakshmi, M.S., 1998. Effect of plasma on fabrics. Ind. Textile J., 10, pp.12-16. 3. Felix, J., Gatenholm, P. and Schreiber, H.P., 1994. Plasma modification of cellulose fibers: Effects on some polymer composite

properties. Journal of Applied Polymer Science, 51(2), pp.285-295.

4. Shishoo, R. ed., 2007. Plasma technologies for textiles. Elsevier.

5. Inbakumar, S., Morent, R., De Geyter, N., Desmet, T., Anukaliani, A., Dubruel, P. and Leys, C., 2010. Chemical and

6. physical analysis of cotton fabrics plasma-treated with a low pressure DC glow discharge. Cellulose, 17(2), pp.417-426.

7. Knittel, D. and Schollmeyer, E., 2000. Technologies for a new century. Surface modification of fibres. Journal of the Textile Institute, 91(3), pp.151-165.

8. Haji, A., Mousavi Shoushtari, A. and Mirafshar, M., 2014. Natural dyeing and antibacterial activity of atmospheric‐plasma‐treated nylon

6 fabric. Coloration Technology, 130(1), pp.37-42.

9. Milinchuk, V.K., 1995. Photoradiation chemistry of polymers. Nuclear Instruments and Methods in Physics Research Section B: Beam

Interactions with Materials and Atoms, 105(1-4), pp.24-29. 10. Hassan, M.M., 2015. Sustainable processing of luxury textiles. In Handbook of sustainable luxury textiles and fashion (pp. 101-120).

Springer, Singapore.

11. Wang, C.X., Ren, Y. and Qiu, Y.P., 2007. Penetration depth of atmospheric pressure plasma surface modification into multiple layers of polyester fabrics. Surface and Coatings Technology, 202(1), pp.77-83.

12. Borcia, G., Anderson, C.A. and Brown, N.M.D., 2006. Surface treatment of natural and synthetic textiles using a dielectric barrier

discharge. Surface and Coatings Technology, 201(6), pp.3074-3081. 13. Ferrero, F., 2003. Wettability measurements on plasma treated synthetic fabrics by capillary rise method. Polymer testing, 22(5), pp.571-

578.

14. Wang, K., Wang, W., Yang, D., Huo, Y. and Wang, D., 2010. Surface modification of polypropylene non-woven fabric using atmospheric nitrogen dielectric barrier discharge plasma. Applied Surface Science, 256(22), pp.6859-6864.13.

15. Garg, S., Hurren, C. and Kaynak, A., 2007. Improvement of adhesion of conductive polypyrrole coating on wool and polyester fabrics

using atmospheric plasma treatment. Synthetic metals, 157(1), pp.41-47.

16. Lam, Y.L., Kan, C.W. and Yuen, C.W.M., 2011. Effect of plasma pretreatment on the wrinkle‐resistance properties of cotton fibers

treated with a 1, 2, 3, 4‐butanetetracarboxylic acid–sodium hypophosulfite system with titanium dioxide as a cocatalyst. Journal of applied

28-30

polymer science, 120(3), pp.1403-1410.

17. Corbin, G.A., Cohen, R.E. and Baddour, R.F., 1982. Kinetics of polymer surface fluorination: Elemental and plasma-enhanced reactions.

Polymer, 23(10), pp.1546-1548. 18. Prakash, C., Ramakrishnan, G., Chinnadurai, S., Vignesh, S. and Senthilkumar, M., 2013. Effect of plasma treatment on air and water-

vapor permeability of bamboo knitted fabric. International Journal of Thermophysics, 34(11), pp.2173-2182.

19. Šajn Gorjanc, D. and Zupin, Ž., 2017. Responses of fabric from lyocell/natural bamboo yarn to loading. The Journal of The Textile

Institute, 108(10), pp.1707-1714.

20. Tao, X. ed., 2001. Smart fibres, fabrics and clothing: fundamentals and applications. Elsevier.

6.

Authors: Saravanan M, Gandhimathi A

Paper Title: Removal of Heavy Metals from Dyeing Industry Wastewater by Using Eco-Friendly Absorbents

Abstract: Heavy metals are the very toxic materials for the society. The effluents from textile industries into

surface water bodies poses a threat to the aquatic organisms and human health, which is a matter of great concern

due to their toxic nature and adverse effect. The small scale dyeing industries generate a large amount of pollution

load which in many cases is discharged into environment without any pre-treatment. Dyeing industries releases a

harmful heavy metals which is three to four times higher than standard values and most toxic pollutants due to its

carcinogenic and teratogenic nature. Several methods have been adopted for the removal of heavy metals from

dyeing industry wastewater. These methods are include chemical reduction, precipitation, ion exchange,

electrolysis etc., but these process contain more expensive so the small scale industries will not used those process

for removal of heavy metals. Among the treatment process, absorption technique is very low cost method. In this

study heavy metals from dying industry wastewater is removed by charcoal from various eco-friendly natural

available absorbent materials of orange peels, Cavendish banana peels and lemon are used. The effect of various

parameters such as dosage of absorbents for the removal of heavy metals, pH and effect of contact time, are

studied. From this study, the removal of lead heavy metal by lemon was found to highly efficient 99.8 % at pH =6,

contact time 35 min, absorbent dose 0.8 g/l. Removal of zinc heavy metal by lemon 94.39 % at pH =6, contact

time 50 min, absorbent dose 0.6 g/l slightly better than banana 91.69 %, contact time 50 min, absorbent dose 1.6

g/l.

Keywords: Absorbents, Heavy metals, Various Peels.

References: 1. Abdel-Halim, S.H., Shehata, A.M.A. and EI-Shahat, M.F. (2003) Removal of Lead Ion from Industrial Wastewater by Different Types of

Natural Materials, Water Research, 37, 1678.1683. 2. M. A. Hossain, H. H. Ngo, Guo and T. V. Nguyen, “Biosorption from Water by Banana peel Based Biosorbent; Experiments and Models

of Absorption and Desorption”, journal of water sustainability, Volume 2, Issue 1, page no 87-104, March 2012.

3. Igwe J C, Abia A A, “A bioseperation process for removing heavy metals from waste water using biosorbents”. African journal of Biotechnology, Vol. 5(12), pp. 1167-1179, (2006).

4. Annadurai, G., Juang, R.S., Lee, D. J., “ Adsorption of heavy metals from water using banana peels”, Water Science and Technology,

47:185-195, 2003. 5. Abia A.A. and Igwe J.C. Sorption Kinetics and Interparticulates diffusivities of Cd, Pb, Zn ions on Maize Cob, j. of biotech., 4(6), 509-

512 (2005).

6. Senthilkumar p, and Karthika K., Kinetics and Equilibrium studies of Zn ions removal from aqueous solution by use of Natural Waste, EJEAF Che., 9(1), 264-265 (2010).

7. Norhafizahbinti A., Nurul A., Imibiniti R. and Wong C., Removal of Cu from water by Adsorption on Papaya Seed, Asian Trans on Eng.,

1(5), 49-50 (2011). 8. Jain K.K., Guru P. and Singh V., J. of chemTechnol Biotech, 29, 36-38 (1979).

9. Atkins P.W., Physical Chemistry. 5th edition, Newyork, Oxford University Press, 122-124 (1995).

10. Vijayaraghavan G., Sivakumar T., Vimal Kumar A. Application of plant based coagulants for waste water treatment, IJAERS, 2011, 1(1), 88-92.

11. Chandra R, Gupta M, Pandey A (2011) Monitoring of river Ram Ganga: Physico-chemical characteristic at Bareilly. Recent research in

science and technology 3.

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7.

Authors: Hafsa, B.Venkateswararao, Gummadi Srinivasa Rao, Ch. Ganesh

Paper Title: Modelling and implementation of single-phase z-source inverter using arduino

Abstract: This paper presents a single-phase Z-Source Inverter simulation and hardware implementation using

Arduino. Z-Source converter uses single stage conversion topology to provide both voltage boost and buck

operations. It activates boost property by using shoot-through state that cannot be found in conventional voltage

source and current source inverters. The switches of the same phase leg can be switched on using shoot-through

state. This improved Z-source technology utilizes less number of switches and increases efficiency of the inverter

with less cost. Simulation is done in MATLAB Simulink. Both simulation and hardware results are compared.

Keywords: Arduino, Current Source Inverter, Voltage Source Inverter and Z-Source Inverter.

References: 1. PawanKumar J. Aswar and P.H. Zope, “Study and Analysis of Single Phase Z-Source Inverter”, International Journal of Research in

Advent Technology, Vol. 1, 2013, pp. 281-289.

2. A. Florescu, O. Stocklosa et al., “The Advantages, Limitations and Disadvantages of Z-Source Inverter”, 2010, pp. 483-486. 3. K.N. Madakwar and Dr. M. R. Ramteke, “Analysis of Single-Phase Z-Source Inverter”, International Journal of Advanced Computing

and Electronics Technology (IJACET),Vol. 2, 2015, pp. 54-60.

4. Fang ZhengPeng, “Z-Source Inverter”, IEEE Transactions on Industry Applications, Vol. 39, no.2, March/April 2003, pp. 504-510. 5. Sattyendrasing A. Seragi, “Review on Z-Source Inverter”, National Conference on Advances in Communication and Computing

(NCACC),2014, pp. 18-22.

6. MeeraMurali, PiyushaBhavsar et al., “Simulation and Fabrication of Single Phase Z-Source Inverter for Resistive Load”, U.P.B. Sci. Bull., Series C, Vol. 78, 2016, pp. 113-124.

7. Mrudul A. Mawlikar and Ms. Sreedevi S Nair, “A Comparative analysis of Z source inverter and DC-DC converter fed VSI”,

35-40

International Conference on Nascent Technologies in the Engineering Field (ICNTE), 2017.

8.

Authors: K. Vasu Babu, B. Anuradha, Maram Srinivasa Rao, N. Sivaiah

Paper Title: Design of Microstrip MIMO antenna for S & C-band Applications

Abstract: In this paper, a compact MIMO with a size of 60 x 40 mm2 is designed for C-band applications. This

design make up of maintaining the reflection coefficient ≤ -10 dB and maintained the isolation ≤ -15 dB is

achieved. In order to reducing the parameter of isolation consider the spacing between the antenna elements is 3

mm. By properly choosing this distance a large change the parameter of isolation and used in the applications of

radar analysis and wireless communication system applications. This type of antenna arrangement producing good

radiation patterns, peak gain, VSWR, diversity gain and group delay is observed.

Keywords: Group delay, MIMO antenna, correlation coefficient, diversity gain.

References: 1. Iqbal, A., O. A. Saraereh, A. W. Ahmad, and S. Bashir, Mutual coupling reduction using F-shaped stubs in UWB-MIMO antenna," IEEE

Access, Vol. 6, 2755-2759, 2018. 2. Yadav, D., M. P. Abegaonkar, S. K. Koul, V. N. Tiwari, and D. Bhatnagar, Two element band-notched UWB MIMO antenna with high

and uniform isolation," Progress In Electromagnetics Research M, Vol. 63, 119{129, 2018.

3. Li, W. T., Y. Q. Hei, H. Subbaraman, X. W. Shi, and R. T. Chen, Novel printed antenna with dual notches and good out-of-band characteristics for UWB-MIMO applications," IEEE Microw.Wirel. Compon. Lett., Vol. 26, No. 10, 765-767, Oct. 2016.

4. Tang, T. C. and K. H. Lin, An ultrawideband MIMO antenna with dual band-notched function,"IEEE Antennas Wirel. Propag. Lett., Vol.

13, 1076-1079, 2014. 5. Gautam, A.K., Kanaujia, B.K.: A novel dual-band asymmetric slit with defected ground structure microstrip antenna for circular

polarization operation. Microw. Opt. Technol. Lett. 55(6), 1198–1201 (2013)

6. Gautam, A.K., Benjwal, P., Kanaujia, B.K.: A compact square microstrip antenna for circular polarization. Microw. Opt. Technol.Lett. 54(4), 897–900 (2012)

7. Gautam, A.K., Kunwar, A., Kanaujia, B.K.: Circularly polarized arrowhead-shape slotted microstrip antenna. IEEE

AntennasWirel.Propag. Lett. 13, 471–474 (2014) 8. Farswan, A., Gautam, A.K., Kanaujia, B.K., Rambabu, K.: Design of Koch fractal circularly polarized antenna for handheld UHF RFID

reader applications. IEEE Trans. Antennas Propag. 64(2), 771–775 (2016)

9. Aslam, B., Khan, U.H., Azam,M.A., Amin, Y., Loo, J., Tenhunen, H.: Miniaturized decoupled slotted patch RFID tag antennas for wearable health care. Int. J. RF Microw. Comput. Aided Eng.27(1) (2017)

10. Ali, T., Aw, M.S., Biradar, R.C.: A fractal quad-band antenna loaded with L-shaped slot and metamaterial for wireless applications. Int. J.

Microw. Wirel. Tech., 1–9 (2018). https://doi.org/10. 1017/S1759078718000272 11. Hung, T.F., Liu, J.C., Wei, C.Y., Chen, C.C., Bor, S.S.: Dual-band circularly polarized aperture-coupled stack antenna with fractal patch

for WLAN and WiMAX applications. Int. J. RF Microw.Comput. Aided Eng. 24(1), 130–138 (2014)

12. Basaran, S.C., Olgun, U., Sertel, K.: Multiband monopole antenna with complementary split-ring resonators for WLAN and WiMAX applications. Electron. Lett. 49(10), 636–638 (2013)

41-45

9.

Authors: K. Siva Kiran, D.V. Siva Sankara Reddy, H. Teja Kiran Kumar, V. Rajendra Kumar

Paper Title: Effect of Seismic Zone and Soil Type on Linear Time History Behavior of RC Framed Building

Abstract: In view of structural engineering, the in assessment of seismic vulnerability of structure plays an

important role in the analysis and design of structure. A variety of methods are in practice to carry out lateral load

analysis on structure due to earthquakes. In this respect, time history analysis is a method to analyze a structure

subjected to a specific earthquake ground motion. The seismic response of a structure majorly depends on type of

soil and seismicity of location of structure.In this context an attempt is made to study the Linear Time History

behavior of a G+5 RC framed building subjected to Bhuj earthquake ground motion considering the effect of soil

type and seismic zone factor in accordance with IS-1893-2016 (part-1). A G+5 RC framed residential apartment

building is modeled in ETABS 2015 software and analysis is carried out using time history function subjecting to

Bhuj earthquake ground motion data for different values of seismic zone factor and soil types. Responses such as

base shear storey shear distribution and peak roof displacement are reported for different zone factors and soil type

and tabulated the analytical study depicts that, with increase in seismicity of location of the structure, both base

shear and peak roof displacement are been increased. Also, with increase in flexibility of soil, both base shear and

peak roof displacement are been increased.

Keywords: Seismic zone; Soil type; Time history; Base shear; Roof displacement.

References: 1. Pankaj Agarwal, Manish Shrikhande (2007), Earthquake Resistant Design of Structures’ Prentice-Hall of India Limited Private Limited,

New Delhi.

2. Anil K. Chopra (2002), Dynamics of Structures: theory and Applications to Earthquake Engineering, Prentice-Hall of India Limited

Private Limited, New Delhi, 3. IS 1893 (part1): 2016, “Criteria for earthquake Resistant Design of Structures-Part1: general Provisions and Buildings”, Bureau of Indian

Standards, New Delhi.

4. Anil K.Chopra and Rakesh K.Goel (2001).’ A Modal Pushover Analysis Procedure to Estimate Seismic Demands for Buildings: Theory and Preliminary Evaluation’, peer reports, peer.berkeley.edu publications.

5. S.Rajasekaran(2009),‘Structural Dynamics of Earthquake Engineering Theory and Application using MATHEMATICA and MATLAB’,

CRC Press Publisher. 6. K.SivaKiran (2017) “Study on Effect of seismic zone and soil type on Dynamic Behavior of RC framed building.

7. T.K.Data (2010), ‘Seismic Analysis of Structures ‘, John Wiley &Sons (Asia) Pte Ltd.

8. Mario Paz and William Leigh (2003), ‘Structural Dynamics: Theory and Computation’, Kluwer Academic Publishers. 9. S.Mahesh, B.Panduranga Rao,“Comparision of analysis and design of regular and irregular configuration of multi storey building in

various seismic zones and various types of soils using ETABS”, an International Journal of Mechanical and Civil Engineering, volume

11,Issue 6 ver.IPP 45-52,Nov-Dec.2014. 10. P.V.Patel (2003)“Dynamic Analysis of Buildings as per IS:1893”,the Journal of Engineering and Technology,16(4),PP 10-15.

11. Dr.S.SureshBabu (2015)“Study he performed linear static analysis and dynamic analysis on multistoried buildings with plan

46-50

irregularities” an International Journal on Engineering and innovative Technology (IJEIT),volume 3,April 2015.

12. Srikanth and V.Ramesh (2013)“Comparatives study of seismic response for seismic coefficient and response spectrum method”.

13. Awkar J.C. and Lui E.M, “Seismic analysis and response of multi storey building semi rigid frames”, Journal of Engineering Structures,

volume 21, Issue 5,page no:425-442,1997.

14. Md.Kabir ,DebasishSen(2015),“Seismic vulnerability and response of regular and irregular shaped multi storey building of identical

weight in context of Bangladesh” shapes” International journal of Innovative Research in advance Engineering (IJIRAE)(August 2015).

15. Mohammed Rizwan Sultan (2015)’Dynamic analysis of multi storey building of different shapes’, International Journal Innovative

Research in advanced Engineering(IJIRAE),Issue 8,volume 2(August 2015).

16. Kulkarni J.G., Kore P.N., S.B. Tanawade, “Analysis of multi storey building frames subjected to Gravity and seismic loads with varying

Inertia” ,International Journal of Engineering and Innovative Technology (IJEIT), volume 2,Issue 10,April 2013.

10.

Authors: Lavanya Settipalli, Sivaiah Bellamkonda, Ramachandran Vedantham

Paper Title: Morphology based Tense Aspect Disambiguation for sentences in Telugu to English Translation

Abstract: Tense, aspect and modality identification of one language and translating them to another language is a

complex task in machine translation. Gaining the knowledge about tenses of a language requires complete

morphology analysis of that particular Language. Native speakers of the language contain inbuilt knowledge of

morphology but training the machines with this knowledge needs more effort. In this paper, we are proposing

Tense, Aspect Disambiguation for the Telugu language by exploring the frequent co-occurrence of verb inflections

with context words. TAD approach is to build Tense dictionary for Telugu based on the hand written rules formed

by morphology analysis and then automatically tagged each sentence of test data set with the tense to which it

belongs. Tagged sentences then mapped to the grammar dictionary of English while translating. Our approach had

performed on text written in WX notation1 by native speakers, which contains verb-included sentences.

Keywords: Morphology Analysis, Verb Inflection, Telugu Tense Rule Dictionary (TTRD), Tense Aspect

Disambiguation (TAD).

References: 1. John Lee, “Verb Tense Generation”, Pg No 122-130, Procedia - Social and Behavioral Sciences 27, 2011.

2. GON G ZhengX ian, ZHAN G Min, TAN ChewLim, “Classifi- er-based Tense Model for SMT”, Proceedings of COLING, 2012, pages

411–420.

3. Srinivasu Badugu, “Morphology Based POS Tagging on Telugu”, International Journal of Computer Science Issues, Pg No 181-187, Vol.

11, Issue 1, January 2014.

4. Pasquale Rullo, Veronica Lucia Policicchio, Chiara Cumbo, and Salvatore Iiritano, “Olex: Effective Rule Learning for Text Cate-

gorization”, IEEE Transactions on Knowledge And Data Engi- neering, Pg No. 1118-1132, Vol. 21, NO. 8, August 2009.

5. Jisha P.Jayan, Rajeev R R, S Rajendran, “Morphological Analyser and Morphological Generator for Malayalam - Tamil Machine

Translation”, International Journal of Computer Applications, ISSN: 0975 – 8887, Volume 13– No.8, PP. 15-18, January 2011.

6. G.Sindhiya Binulal, P. Anand Goud, K.P.Soman, “A SVM based approach to Telugu Parts Of Speech Tagging using SVMTool”,

International Journal of Recent Trends in Engineering, Vol. 1, No. 2, PP. 183-185, May 2009.

7. G.Pratibha, Dr.Nagaratna P Hegde, “An Hybrid Approach in Classification of Telugu Sentences”, International Journal of Advanced

Research in Computer Science, Volume 8, No. 5, ISSN No. 0976-5697, Pg.No. 2108-2110, June 2017.

8. W.W. Cohen and Y. Singer, “Context-Sensitive Learning Methods for Text Categorization,” ACM Trans. Information Systems, vol. 17,

no. 2, pp. 141-173, 1999.

9. Sang-Bum Kim, Kyoung-Soo Han, Hae-Chang Rim and Sung Hyon Myaeng, "Some Effective Techniques for Naive Bayes Text

Classification," IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 11, pp. 1457-1466, Nov. 2006

10. Phu Vo Ngoc, Chau Vo Thi Ngoc, Tran Vo Thi Ngoc, Dat Nguyen Duy, “A C4.5 algorithm for english emotional classification”,

Springer-Verlag Berlin Heidelberg 2017.

11. W. Li, J. Han, and J. Pei, “Cmar: Accurate and Efficient Classification Based on Multiple-Class Association Rule,” Proc. First IEEE Int’l

Conf. Data Mining (ICDM), 2001.

12. Jonathan J Webster and Chunyu Kit, “Tokenization as the initial phase in NLP”, In Proceedings of the 14th conference on Computational

linguistics-Volume 4. Association for Computational Linguistics, PP. 1106–1110, 1992.

13. Nujaree Sukasame, Sathaporn Kantho, PenneeNarrot, “A study of errors in learning English Grammatical structures on Tenses of

MatthayomSuksa 4 Students of The Demonstration School, KhonKaen University”, Procedia - Social and Behavioral Sciences 116, PP.

1934 – 1939, 2014.

14. Dinesh Kumar, Gurpreet Singh Josan, “Part of Speech Taggers for Morphologically Rich Indian Languages: A Survey”, International

Journal of Computer Applications, ISSN: 0975 – 8887, Volume No.5, PP. 1-9, September 2010.

15. Aparna Varalakshmi, Atul Negi, Sai Krishna, “DataSet Generation and Feature Extraction for Telugu Hand-Written Recognition”,

International Journal of Computer Science and Telecommunications, Volume 3, Issue 2, PP. 57-59, February 2012.

16. Phani Chaitanya Vempatya, Satish Chandra Prasad Nagallaa, “Automatic Sandhi Spliting Method for Telugu, an Indian Language”,

Procedia - Social and Behavioral Sciences 27, PP.218–225, 2011.

17. V. Suresh, M.S. Prasad Babu, “Clause Boundary Identification for Non-Restrictive Type Complex Sentences in Telugu Language”,

International Journal of Advanced Research in Com- puter Science, ISSN: 0976-5697, Volume 7, No. 4, PP. 6-10, July-26 August

2016.

18. Neepa Shah, Sunita Mahajan, “Efficient Pre-Processing for Enhanced Semantics Based Distributed Document Clustering”, International

Conference on Computing for Sustainable Global development, PP. 338-343 , 2016.

19. Shahin Vaezi, Mehrasa Alizadeh, “How learners cope with English tenses: Evidence from think-aloud protocols”, Procedian- Social

and Behavioral Sciences 29, PP. 986 – 993, 2011.

20. Ye, Y. and Zhang, Z., “Tense tagging for verbs in cross-lingual context: A case study”, Natural Language Processing–IJCNLP, pages

885–895, 2005.

21. F. Sebastiani, “Machine Learning in Automated Text Categorization,” ACM Computing Surveys, vol. 34, no. 1, pp. 1-7, 2002.

22. D. Isa, L. H. Lee, V. P. Kallimani and R. RajKumar, "Text Document Preprocessing with the Bayes Formula for Classification Using the

Support Vector Machine," IEEE Transactions on Knowledge and Data Engineering, vol. 20, no. 9, pp. 1264-1272, Sept. 2008.

23. Himanshu Agarwal and Anirudh Mani, “Part of Speech Tagging and Chunking with Conditional Random Fields”, In Proceedings of

NLPAI Ma-chine Learning Workshop on Part of Speech Tagging and Chunking for Indian languages, IIIT Hyderabad, Hyderabad, India,

2006.

24. Asif Ekbal and Samiran Mandal, "POS Tagging using HMM and Rule based Chunking", In Proceedings of International Joint

Conference on Artificial Intelligence Workshop on Shallow Parsing for South Asian Languages, IIIT Hyderabad, Hyderabad, India, 2007.

25. Sarinnapakorn and M. Kubat, "Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study," IEEE

51-58

Transactions on Knowledge and Data Engineering, vol. no. 12, pp. 1638-1651, Dec. 2007.

26. Z. Wang, G. Xu, H. Li and M. Zhang, "A Probabilistic Approach to String Transformation," IEEE Transactions on Knowledge and

Data Engineering, vol. 26, no. 5, pp. 1063-1075, May 2014.

27. Dalal MK, Zaveri M, “Automatic text classification: a technical review”, International Journal on Computer Applications, Volume 28,

No. 2, ISSN: 0975-8887, 2011.

28. Y. Takano, "Coordination of Verbs and Two Types of Verbal Inflection," in Linguistic Inquiry, vol. 35, no. 1, pp. 168-178, Jan. 2004.

29. K. Uchimoto, K. Takaoka, C. Nobata, A. Yamada, S. Sekine and H. Isahara, "Morphological analysis of the corpus of spontaneous

Japanese," IEEE Transactions on Speech and Audio Processing, vol. 12, no. 4, pp. 382-390, July 2004.

30. Jingnian Chen, Houkuan Huang, Shengfeng Tian, Youli Qu, “Feature selection for text classification with Naïve Bayes”, Expert Systems

with Applications, Vol 36, PP. 5432–5435, 2006.

31. Frank, E., Bouchaert, R. R., “Naive Bayes for text classification with unbalanced classes”, In Proceedings of the 10th European

conference on principles and practice of knowledge discovery in databases, pp. 503–510. Berlin: Springer, 2006.

32. A. C. R. Tsai, C. E. Wu, R. T. H. Tsai and J. Y. j. Hsu, "Building a Concept-Level Sentiment Dictionary Based on Commonsense

Knowledge," IEEE Intelligent Systems, vol. 28, no. 2, pp. 22-30, March-April 2013.

33. Kim, S., Han, K., Rim, H., Myaeng, S., “Some effective techniques for Naïve Bayes text classification”, IEEE Transactions onKnowledge

and Data Engineering, vol18 No.11, PP.1457–1466, 2006.

34. J Steven and DeRose, "Grammatical Category Disambiguation by Statistical Optimization", Computational Linguistics, Vol. 14, No. 1, pp

31–39, 1988.

35. D. G. Lee and H. C. Rim, "Probabilistic Modeling of Korean Morphology," IEEE Transactions on Audio, Speech, and Language

Processing, vol. 17, no. 5, pp. 945-955, July 2009.

36. N. L. Bhamidipati and S. K. Pal, "Stemming via Distribution-Based Word Segregation for Classification and Retrieval,"

IEEETransactions on Systems, Man, and Cybernetics, vol. 37, no. 2, pp. 350-360, April 2007.

11.

Authors: Kahkashan Tabassum, Hadil Shaiba

Paper Title: A Multipurpose Mobile Application for Air Cargo Management System for Saudi Airlines

Abstract: Shipping parcels plays a significant role in our lives. It provides us with products that are overseas, the

essentials that we lack in our countries no matter whatever the size or quantity. In the shipping system we aim to

ship parcels in high speed and high quality by providing several enhancements that demand highly secure systems

protecting both the customer’s information and the shipment itself. Thus every shipping company strives to

accomplish the shipping in a secure and trusted way, putting the customer in the highest priority. This paper

explains an implementation of an android application (Airpress) that will help Saudi Airlines and associated

companies in import and export of the items needed. The application allows customers to create cargo easily and

quickly. A customer can register and create cargo at any time, and track the cargo by a single click. It’s a multi-

purpose mobile application that aim to help companies to make it easier to have an app that is specialized for

serving businesses. Examples of other majors tasks that the app can accomplish are : a) Door ro door delivery by

registered to make it easier and more convenient for customers – b) Providing more options for customers to find

the suitable and preferred way to make their orders.

Keywords: Cargo, Delivery, Packaging, Receiver, Sender, Shipment, Status, Tracking number, Time frame.

References: 1. International Conference on Industrial Engineering, "Real-time Tracking and Tracing System," [Online].

Available:http://ieomsociety.org/ieom2011/pdfs/IEOM038.pdf. [Accessed 20 10 2017].

2. B. Elias, "Air cargo," [Online]. Available: https://fas.org/sgp/crs/homesec/RL32022.pdf. [Accessed 22 10 2017]. 3. "Software Development Life Cycle," [Online]. Available: http://istqbexamcertification.com/what-are-the-software-development-life-

cycle-sdlc-phases/. [Accessed 23 10 2017].

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5. "General cargo," [Online]. Available: http://www.nammacargo.com/general_cargo_inbound.htm. [Accessed 28 10 2017].

6. IATA, "IATA Cargo Strategy," [Online]. Available: http://www.iata.org/whatwedo/cargo/Documents/cargo-strategy.pdf. [Accessed 29 10 2017].

7. "flydubai cargo," [Online]. Available: https://www.flydubai.com/en/information/cargo. [Accessed 1 11 2017].

8. "Customer Care," [Online]. Available: http://www.saudiacargo.com/. [Accessed 1 11 2017]. 9. "Home," [Online]. Available: http ://www .alfare scargo.com/. [Accessed 1 11 2017].

10. "Logistics," [Online]. Available: http:// www. dhl.com /en.html. [Accessed 1 11 2017].

11. "Industry solutions," [Online]. Available: http://www.skycargo.com/english/industry-solutions/. [Accessed 1 11 2017].

12. "Use case diagrams," [Online]. Available: https://www.uml-diagrams.org/use-case-diagrams.html. [Accessed 5 11 2017].

13. C. B. Thomas Connolly, Database Systems: A Practical Approach to Design , Implementation and Management, 5th ed., 2009.

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59-66

12.

Authors: Sampath S S, Prasanth Sreekumar, Chithirai Pon Selvan M

Paper Title: Estimation of Power in High Altitude Freely Suspended Wind Turbine

Abstract: Conventional wind turbines are restricted in its use due to certain limitations and challenges in its

position. To use wind turbine efficiently and economically, it is required to overcome space requirements, noise,

variation in air current and set up cost. This study attempts to design and fabricate suspended wind turbine to

overcome the above stated hurdles. In this current work, the blades and the alternator are placed in the helium

balloon housing which is suspended in the air and supported to the ground with tether. A tether made of conductive

material is to transmit the generated power from the airborne housing to the ground base. Blades are made of

aluminium and it ensures low rotational inertia. The proposed suspended wind mill in this study is able to generate

power output which is comparatively cheaper than conventional wind turbines and also work will be able to cater

the needs of electric power to remote areas and farms. Entire setup is modelled in 3D software Creo and the

simulation is carried out using ANSYS software.

Keywords: Alternator, finite element method, turbine blade, renewable energy, power

References: 1. M. Diehl, “Airborne wind energy: Basic concepts and physical foundations,” Green Energy Technology, pp. 3–22, 2013.

2. L. Fagiano and T. Marks, “Design of a Small-Scale Prototype for Research in Airborne Wind Energy,” IEEE/ASMETransactions on Mechatronics and is subject to IEEE, pp. 1–18, 2014.

3. Lorenzo Fagiano, Mario Milanese and Dario Piga , “Optimization of airborne wind energy generators”, International journal of robust

and nonlinear control, September 2011 , pp. 2055–2083, 2009. 4. N. Bilaniuk, D. Ph, P. Eng and L. T. a Windpower, “Generic System Requirements for High Altitude Wind Turbines,” Wind Energy,

October, 2009.

5. C. L. Archer and K. Caldeira, “Global assessment of high-altitude wind power,” Energies, vol. 2, pp. 307–319, 2009. 6. L. Fagiano, M. Milanese and D. Piga, “High-altitude wind power generation for renewable energy cheaper than oil” .

7. B. Lansdorp and M. Sc, “Comparison of concepts for high-altitude wind energy generation with ground based generator” China

International Renewable Energy Equipment & Technology Exhibition and Conference, pp. 1–9, 2005. 8. Bolonkin, “Using of High Altitude Wind Energy ” , Smart Grid and Renewable Energy , vol. 2011, no. May, pp. 75–85, 2011.

9. L. Archer, “An Introduction to Meteorology for Airborne Wind Energy” Airborne Wind Energy, Green Energy and Technology, 2013,

pp. 81–94. 10. T. Ezaki, “Effect of coning angle for single-wire-suspended down-wind turbine” pp. 1–6.

11. J.Helsen,F.Vanhollebeke,D.Vandepitte and W.Desmet,“Some trends and challenges in wind turbine upscaling.”

12. M. Haastrup, M. R. Hansen and M. K. Ebbesen,“Modeling of Wind Turbine Gearbox Mounting”, Modeling, Identification and Control, vol. 32, no. 4, pp. 141–149, 2011.

13. W. T. Chong, A. Fazlizan, S. C. Poh, K. C. Pan, W. P. Hew and F. B. Hsiao, “The design , simulation and testing of an urban vertical

axis wind turbine with the omni-direction-guide-vane q,” Appl. Energy, pp. 5–8, 2013. 14. H. A. Yanto, C. Lin, J. Hwang and S. Lin, “Modeling and control of household-size vertical axis wind turbine and electric power

generation system,” PEDS, pp. 1301–1307.

15. S. S. Sampath, SawanShetty and ChithiraiPonSelvan M, “Estimation of power in low velocity vertical axis wind turbine” Frontiers of mechanical engineering, 2015, pp:1-8.

16. D. S. Parker, J. R. Sherwin and B. Hibbs, “Development of High Efficiency Air Conditioner Condenser Fans,” ASHRAE Trans., vol.

111, p. 511, 2005.

67-73

13.

Authors: ThanesaIyer, Jaya Yadav

Paper Title: A Meta Analytic Review of Emotional Dissonance - It’s Cause and Impact

Abstract: Today, every organization has values, goals and objectives clearly communicated to employees,

however the emotion of the organization is always downplayed and thereby is never accounted anywhere. In an

organization, different employees have different emotions, which seldom align to organizations desired emotions.

This difference in emotions is what we call emotional dissonance. This paper aims to understand emotional

dissonance, its cause and impact on overall productivity of an employee as well as the role of emotional

dissonance in improving the overall productivity of organization through employees. The study was carried out by

reviewing the literature of past 19yrs from 1999 to 2017.Through the review of literature of past 19yrs the

conclusion regarding cause, impact and ways to reduce emotional dissonance were drawn. It was evident through

review that all the key organization performance indicators of employee which effect the organization efficiency

were influenced by emotional dissonance and display norms of an organization, were found to be the major cause

of emotional dissonance. It was also found that the emotional dissonance was not only confined to service sector

job as per our preconceived notion, instead influenced the individuals irrespective of their location/sector they are

working in. Hence it can be stated that emotions of employee are poorly managed and emotion demand of jobs are

not appreciated. Thus, there is a strong need to work on ways to reduce emotional dissonance and to keep a check

on it as there is very limited research on experience of emotions at work.

Keywords: emotion, emotional dissonance, employee productivity, organization efficiency, performance

indicators, display norms. JEL Classification: M540

References: 1. Abraham, R. (1999). Emotional dissonance in organizations: conceptualizing the roles of self‐esteem and job‐induced tension.

Leadership & Organization Development Journal. 2. Abraham, R. (1999). The impact of emotional dissonance on organizational commitment and intention to turnover. The Journal of

Psychology.

3. Abraham, R. (2000). The role of job control as a moderator of emotional dissonance and emotional intelligence-outcome relationship. The Journal of Psychology.

4. Abramowitz, J. T. (2001). Paradoxical effects of thought suppression: A meta-analysis of controlled studies. Clinical Psychology

Review. 5. Ainize Pena Sarrionandia, M. M. (2015). Integrating emotion regulation and emotional intelligence traditions: a meta-analysis. Frontiers

in Psychology.

6. Alicia A. Grandey, D. R. (2015). Emotional labor threatens decent work: A proposal to eradicate emotional display rules. Journal of Organizational Behavior.

74-79

7. Alicia Grandey, A. R. (2010). Emotion display rules at work in the global service economy:the special case of the customer. Journal of

Service Management.

8. Alma M. Rodrıguez-Sanchez, J. J. (2012). With a little help from my assistant: buffering the negative effects of emotional dissonance on dentist performance. Community dentistry and oral epidemiology.

9. Arnold B. Bakker, E. H. (2006). Emotional Dissonance, Burnout, and In-Role Performance Among Nurses and Police Officers.

International Journal of Stress Management.

10. Aziz, Y. A. (2008). The Effects of Emotional Dissonance and Employee’s Empowerment on Service Quality and Customer Satisfaction

Perception: Customer Level Analysis. International Journal of Economics and Management.

11. Benjamin R. van Gelderen, A. B. (2013). Daily deliberative dissonance acting among police officers. Journal of Managerial Psychology. 12. Bettina Kubicek, C. K. (2015). Does job complexity mitigate the negative effect of emotion-rule dissonance on employee burnout? Work

& Stress.

13. Bonanno, G. P. (2004). The importance of being flexible: The ability to both enhance and suppress emotional expression predicts long-term adjustment. Psychological Science.

14. Botma, N. (2009). EMOTION EXPERIENCE, EMOTIONAL INTELLIGENCE AND WELL-BEING IN SOUTH AFRICA. P

otchefstroom. 15. Briner, R. B. (1999). The Neglect and Importance of Emotion at Work. EUROPEAN JOURNAL OF WORK AND

ORGANIZATIONAL PSYCHOLOGY.

16. Cheung, F. Y.-L.-K. (2007). The influence of emotional dissonance and resources at work on job burnout among Chinese human service employees. International Journal of Stress Management.

17. Craig C. Julian, T. T. (2008). Emotional dissonance and customer service: an exploratory study.

18. Services Marketing Quarterly. 19. Daniel J. Beal, J. P. (2006). Episodic Processes in Emotional Labor: Perceptions of Affective Delivery and Regulation Strategies. Journal

of Applied Psychology.

20. Devi, B. R. (2016). A Study on Human Resource Perspectives of Emotional Labour in Service Sector. IOSR Journal of Business and Management (IOSR-JBM).

21. Eriksson, C. B. (2004). The effects of change programs on employees’ emotions. Personnel Review.

22. Francesca Menozzi, N. G. (2016). Emotional Dysregulation: The Clinical Intervention of Psychodynamic University Counselling. Journal of Educational, Cultural and Psychological Studies.

23. Francis Cheung, C. T. (2010). The Influence of Emotional Dissonance on Subjective Health and Job Satisfaction: Testing the Stress–

Strain–Outcome Model. Journal of Applied Social Psychology. 24. Glass, P. C. (2015). An exploration of emotional protection andregulation in nurse-patient interactions: The role of the professional face

and theemotional mirror. Collegian.

25. Gosling, P. (2006). Denial of responsibility:A new mode of dissonance reduction. Journal of Personality & Social Psychology.

26. J Andrew Morris, D. C. (2013). The impact of emotional dissonance on psychological well‐being: the importance of role internalisation

as a mediating variable. Management Research Review.

27. Jamie L. Taxer, A. C. (2017). Does basic need satisfaction mediate the link between stress exposure and well-being? A diary study

among beginning teachers. Learning and Instruction. 28. JeroenJansz, M. T. (2002). Emotional Dissonance,When the Experience of an Emotion Jeopardizes an Individual's Identity. Theory &

Psychology.

29. Jessica R. Mesmer-Magnus, L. A. (2011). Moving emotional labor beyond surface and deep acting: A discordance–congruence perspective. Organizational Psychology Review.

30. Kovacs M, K. E. (2010). Is emotional dissonance more prevalent in oncology care? Emotion work, burnout and coping.

Psychooncology.

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32. Larissa K. Barber, M. J. (2009). Service-oriented and force-oriented emotion regulation in police officers. Applied Psychology in Criminal Justice.

33. MAPS, S. K. (2008). Emotional labour: A significant interpersonal stressor. Australian Psychological Society.

34. Marian Iszat White, S. L. (2011). Games Leaders Play: using Transactional Analysis to understand emotional dissonance. 10th International Studying Leadership Conference - Bristol, United Kingdom. Bristol.

35. Marie-AmélieMartinie, Y. A. (2017). Incidental mood state before dissonance induction affects attitude change. PLOS ONE.

36. Melanie M. Keller, M.-L. C. (2014). Teachers’ emotional experiences and exhaustion as predictors of emotional labor in the classroom: an experience sampling study. Frontiers in Psychology.

37. Monica Molino, F. E. (2016). Inbound Call Centers and Emotional Dissonance in the Job Demands – Resources Model. Work and

Organizational Psychology. 38. NasrinArshadi, S. P. (2016). The mediating role of emotional dissonance in the relationship between teacher"s emotional labor strategies

and occupational well-being. Research Communications in Psychology, Psychiatry and Behavior.

39. P, I. (2017). A Study of Emotional Labour Coping Strategies in Some Hotels in South East Nigeria. Journal of Hotel and Business Management.

40. Paige S. Rutner, B. C. (2008). Emotional dissonance and the information technology professional. MIS Quarterly.

41. Rathi, N. (2013). Please Smile While You Serve:Do Employees Pay a Hidden Cost for “Serving with a Smile?”. NMIMS Management Review.

42. Richard, E. M. (2006). Applying appraisal theories of emotion to the concept of emotional labor.

43. LSU Doctoral Dissertations. 44. S. Douglas Pugh, M. G.-T. (2010). Willing and Able to Fake Emotions: A Closer Examination of the Link Between Emotional

Dissonance and Employee Well-Being. Journal of Applied Psychology.

45. Sabine Pohl, L. D. (2015). Empathy and emotional dissonance: Impact on organizational citizenship behaviors. European Review of Applied Psychology.

46. Santo, L. D. (2012). The nurse – patient emotional interaction in quality of work life: the role of empathy and emotional dissonance.

47. Sharma,R.C.(2015).ManagingEmotions:Emotional LaborEmotionalEnrichment. 48. IIMA,India,Research and Publication.

49. Subhash C. Kundu, N. G. (2017). Emotional Dissonance and Organizational Deviance: The Mediating Role of Intention to Quit.

International Journal of Applied Business and Economic Research. 50. Susanne Scheibea, C. S.-R. (2015). Links Between Emotional Job Demands and Occupational Well-Being:Age Differences Depend on

Type of Demand. Becker Stiftung Germany.

51. The importance of being flexible: The ability to both enhance and suppress emotional expression predicts long-term adjustment. (2004). Psychological Science.

52. Tracy, S. J. (2005). Locking Up Emotion: Moving Beyond Dissonance for Understanding Emotion Labor Discomfort. Communication Monographs.

53. Truchot, M. A. (2016). Emotional Dissonance and Burnout: The Moderating Role of Team

54. Reflexivity and Re-Evaluation: Emotional Dissonance and Burnout. Stress and Health.

55. Tupou, J. (2011). Are we happy now? Exploring emotional dissonance in the fashion retail industry. Auckland: Auckland University of

Technology Ethics Committee.

56. UgurYozgat, S. C. (2012). Exploring Emotional Dissonance: On Doing What You Feel and Feeling What You Do. Procedia - Social and

Behavioral Sciences.

57. Zapf, D. (2002). Emotion work and psychological well-being,A review of the literature and some conceptual considerations. Human

Resource Management Review.

14.

Authors: LiyanaShirin Akbar, Khulood Al-Mutahr, Mohammed Nazeh

Paper Title: Aligning IS/IT with Business Allows Organizations to Utilize Dark Data

Abstract: Any data that is left unexplored by an organization is an opportunity lost and a potential security risk

says Ganesh Moorthy (2018). This paper discusses about the importance of aligning information system and

information technology with business and how that helps organizations to utilize dark data efficiently. Moreover,

the types of strategic alignment models and how organizations should adapt those models are also briefly

described. The concept of dark data, types of dark data and how organizations can make use of it are further

explained in this paper. The impact of dark data and tools to extract dark data is also discussed in this paper. The

insights and discussions that are stated in this paper would definitely benefit organizations to understand the

importance of aligning the business with IS/IT and make good use of darkdata.

Keywords: Information System, Information Technolog Dark Data,Strategic Alignmen tFramework

References: 1. Ganesh Moorthy, 2018, “ Dark Data: The two sides of the same coin” [Online]. Available at: http://analytics-magazine.org/dark-data-

two-sides-coin/ [Accessed on: 5th December 2018] 2. MargaretRouse,2017,“Data”[Online].Availableat: https://searchdatamanagement.techtarget.com/definition/data [Accessed on: 5th

December 2018]

3. Gartner, 2017. “How to tackle dark data” [Online]. Available at: https://www.gartner.com/smarterwithgartner/how-to-tackle-dark-data/ [Accessed on: 5th December 2018]

4. Vladimir, 2018. “Information System” [Online]. Available at: https://www.britannica.com/topic/information-system [Accessed on: 6th

December 2018] 5. El-Masri, Mazen; Orozco, Jorge; Tarhini, Ali; and Tarhini, Takwa, "The Impact of IS- Business Alignment Practices on Organizational

Choice of IS-Business Alignment Strategies" (2015). PACIS 2015 Proceedings. Paper 215.

6. Wikipedia (n.d). “Information Technology” [Online]. Available at: https://en.wikipedia.org/wiki/Information_technology. [Accessed on: 7th December 2018]

7. Llanos Cuenca, Angel Ortiz, and Andres Boza 2010, ‘Business and IS/IT Strategic Alignment Framework’ Research Centre on

Production Management and Engineering, p. 24-31 8. Venkatraman and Henderson, 1993. “Strategic alignment: Leveraging information technology for transforming organizations” IBM

Systems. Accessed on: 7th December 2018

9. Jennifer E. Gerow, Jason Bennett Thatcher and Varun Grover, “Six types of IT-business strategic alignment: an investigation of the constructs and their measurement” (2014).

10. Luftman, Jerry, “An Update on Business-IT Alignment: ‘A Line’ Has been Drawn”, MIS Quarterly Executive, Vol.6, Issue 3, 165-177,

2007 11. WillianDimitrov et al, 2018. “Types of dark data and hidden cybersecurityrisks” [Online].Availableat:

https://www.researchgate.net/publication/329119026_Types_of_dark_data_and_hidden

12. _cybersecurity_risks [Accessed on: 7th December 2018] 13. Shane Ryan, 2014. "Illuminating Dark Data," Accessed on: 5th December 2018.

14. Andy Berry, 2018. “Shed light on your dark data before GDPR comes into force”[Online]. Available at:

https://www.cio.com/article/3269009/big-data/shed-light-on-your-dark-data- before-gdpr-comes-into-force.html [Accessed on: 8th December 2018]

15. Kaushik Pal, 2018. “Importance of dark data and big data” [Online]. Available at:https://www.kdnuggets.com/2015/11/importance-dark-

data-big-data-world.html. [Accessed on: 8th December 2018] 16. Lyndsay Wise, 2016. “Aligning Strategy with Data Management”. [Online]. Available

at:https://www.cio.com/article/3082553/leadership-management/aligning-strategy-with- data-management.html [Accessed on: 8th

December 2018] 17. IDG,2016.“2016DataandAnalyticResearch”[Online].Available at:https://www.idg.com/tools-for-marketers/tech-2016-data-analytics-

research/ [Accessed on: 9th December 2018]

18. MCKINSEY, "Big Data: The Next Frontier For Innovation, Competition and Creativity," MCKINSEY Global Institute, New York, 2011.

19. Paul Zikopoulos, Chris Eaton, Diroos Dirk, Tom Deutsch, and George Lapis, Understanding Big Data: Analytics for Enterprise Class

Hadoop and Streaming Data, 1st ed., Steve Sit, Ed. New York, United States: MCGRAW-HILL, 2012. 20. ThierryNautin,2014.“TheAlignedOrganization”[Online].Availableat:

https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Operations/Our%

20Insights/The%20lean%20management%20enterprise/The%20aligned%20organizatio n.ashx. [Accessed on: 9th December 2018]

21. Kearns and Lederer, 2003. “A Resource‐Based View of Strategic IT Alignment: How Knowledge Sharing Creates Competitive

Advantage” [Online]. Available at: https://onlinelibrary.wiley.com/doi/abs/10.1111/1540-5915.02289 [Accessed on: 9th December

2018]

22. Peppard, Joe, Robert D. Galliers, and Alan Thorogood. "Information systems strategy as practice: Micro strategy and strategizing for IS." Journal of Strategic Information Systems (23:1), 2014, pp. 1-10.

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https://www.quostar.com/blog/why-align-business-strategy-it- strategy/ [Accessed on: 9th December 2018]Techopedia,n.d.“Dark 24. Ben Austin, 2014. “Dark Data: What is it and Why Should I Care?” [Online]. Available at: https://www.r1soft.com/blog/dark-data-what-

is-it-and-why-should-i-care [Accessed on: 9th December 2018]

25. Hp/Syncsort, n.d. “4 Ways to Use Dark Data” [Online]. Available at: http://blog.syncsort.com/2017/05/big-data/4-dark-data-examples-use-cases/ [Accessed on: 10th December 2018]

26. VinayR.Rao,2018.“FromDatatoKnowledge”[Online].Availableat: https://www.ibm.com/developerworks/library/ba-data-becomes-

knowledge-1/index.html. [Accessed on: 10th December 2018] 27. Standford University, 2017. “Extracting Databases from Dark Data with DeepDive” by MichaelCafarellaetal[Online].Availableat:

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28. HazyResearch, 2018. “Snorkel: Fast Training Set Generation for Information Extraction” [Online]. Available at: https://hazyresearch.github.io/snorkel/pdfs/snorkel_demo.pdf [Accessed on: 10th December 2018]

80-85

15.

Authors: Kailas Tambe, G. Krishna Mohan

Paper Title: An Efficient Localization Scheme for Mobile WSN

Abstract: Localization is an extremely important service in wireless sensor network and when nodes are

mobile then it is the utmost challenge to keep the information of all nodes in the wireless sensor network. In last

many years a good research has been conducted using many localization algorithms to provide solution for

accurate positioning of nodes along with minimum energy consumptions by the nodes. But when nodes are

moving continuously and positions are changing at every time period t then it might be difficult to localize all

nodes at a time but it is achieved using trilateration techniques using cooperative approach among neighboring

nodes of the network. In presented algorithm where each node is tracked by its current position after every fixed

time interval period ‘t’ which will keep track of nodes current position for time t as well also predicts its position

for next period of t i.e. 2t. In proposed algorithm to keep the localization error minimum we have selected two

neighboring nodes for each node and every node updates its current and predicted position after every fixed time

interval period. The minimum distance can be calculated by performing trilateration among two neighboring nodes

with unknown position node. Trilateration is mainly used in range based localization. These coordinate differences

between current and predicted positions for time t and 2t time slot give us a localization error. With presented

algorithm we have found the efficient time period where average localization error will be minimum with

minimum energy consumption. In Future with quality of service parameter as Packet delivery ratio (PDR) and

ultimately increased in throughput of the network can be achieved.

Keywords: Localization, AoA, PDR, TDOA, TOA.

References: 1. W. Quai, J. Han, Jun L. “A Linearization reference node selection strategy for accurate multilateration localization in Wnreless Sensor

Networks”,. IEEE. 2013 Feb. 2. M.N.Rehman, A.T.Hanuranto, R.Mayasari, “ Trilateration and Iterative Multilateration Algorithm for Localization Schemes on Wireless

Sensor Network”, IEEE International Conference on Control, Electronics, Renewable Energy and Communications, 2017

3. Leila C., S Faouzi, B.Louiza “Localization protocols for mobile wireless sensor networks: A survey” Computers and Electrical Engineering (2017),

4. Latham D., Pister K, Laurent EI G..,” Convex position estimation in wireless sensor Networks”. IEEE Infocom. 2001 Apr; 3:1633- 55.

5. Yu G., Yu F. “A localization algorithm for mobile wireless sensor networks”. IEEE International Conference on Integration Technology; 2007 Apr.

6. Santar PS et.al.. “Range free localization techniques in Wireless Sensor Networks: A review”. Procedia Computer Science. 2015; p. 7–16.

7. Amitangshu P. “Localization algorithms in Wireless Sensor Networks: Current approaches and future challenges”, Network Protocols and Algorithms, 2010.

8. G. Han,C. Jhang, J, Jiang“Mobile Anchor Nodes Path Planning Algorithms using Network-density-based Clustering in Wireless Sensor

Networks” Journal of Network and Computer Applications,2017. 9. G. Han, J. et.al, “The impacts of mobility models on DV-hop based localization in Mobile W reless Sensor Networks”, Journal of

Network and Computer Applications, 2014.

10. Sundaram B,RKavitha “Minimizing the localization error in Wireless Sensor Network”, Procedia Engineering. 2012. 11. Kailas Tambe, G. K. Mohan et.al, “A Novel Approach of Efficient Localization Scheme for Wireless Sensor Network”, IJST, Dec. 2016.

12. Z. Mary L., Shri J. S. “Monitoring moving target and energy saving localization algorithm in Wireless Sensor Networks” IJST, Jan 2016.

13. Hu L., David E. “Localization for mobile sensor networks”, MobiCom; 2004. 14. T. Aren, et al. “A theory of network localization”, IEEE Trans. 2006 Dec

15. Nissanka P., Hari B et.al.. “Mobile assisted localization in wireless sensor networks”, Proceedings of IEEE INFOCOM; Miami, FL. Mar

2005. 16. KuoFengS.,Chia Ho Ou “Localization with mobile anchor points in wireless sensor networks” IEEE Transaction Vehicular Technology,

May 2007.

86-89

16.

Authors: Atul Choudhary, Sanjeev Bansal, Prashant Sharma, Anu Prashaant

Paper Title: An impact of recent technological reforms in Indian Railways on its revenue and its influence on the

passenger satisfaction in terms of Service.

Abstract: An objective of this study is to find an impact of recent technological reforms in Indian Railways

on its revenue and its influence on the passenger satisfaction in terms of service. Quality of customer service in

Indian Railways has a significant role on the Passengers’ Satisfaction. Railways could draw higher economic

benefits from its operations by improving its service quality. Various studies have pronounced many dimensions

concerning about the Passengers’ satisfaction of Indian Railways. Below mentioned are the Five dimensions of

Service Quality under SERVQUAL model which are taken in this research paper. Reliability, Responsiveness,

Tangibility, Assurance and Empathy.

Keywords: Indian Railways, Rail Commuters, Technological Reforms, Revenue generation, Service quality.

References: 1. Kotler Philip, Marketing Management: Analysis, Planning, Implementation and Control (Prentice- Hall of India, New Delhi, 1990).

2. Lewis, Robert C. and Bernard H. Booms, The Marketing Aspects of Service Quality in Emerging Perspectives on Services Marketing, L.

Berry, G. Shostack, and G. Upah, eds., Chicago: American Marketing, 1983, 99-107. 3. Parasuraman A., Zeithaml VA. and Berry LL., A Conceptual Model of Service Quality and its Implications for Future Research, Journal

of Marketing, 49, 1985, 41-50.

4. Parasuraman A., Zeithaml VA. and Berry, LL., Servqual: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality, Journal of Retailing, 64(1), 1988, 12-40.

5. Eshghi, A., Roy, S. and Ganguli, S., Service Quality and Customer Satisfaction: An Empirical Investigation in Indian Mobile

Telecommunications Services, Marketing Management Journal, 18(2), 2008, 119-144. 6. Gronroos, C., A Service Quality Model and its Marketing Implications, European Journal of Marketing, 18(4), 1982,

36-44. 7. Aleeswari, A Study on Service Quality and Passengers Attitude towards Public Transport in Dindigul District, Manonmaniam

Sundaranar University, Tamil Nadu, India, 2012.

8. Geetika, Shefali Nandan, Determinants of Customer Satisfaction on Service Quality: A Study of Railway Platforms in India, Journal of Public Transportation, 13(1), 2010,

97-113.

90-95

9. Devi Prasad M. and Raja Shekhar B.,Analyzing the Passenger Service Quality of the Indian Railways using Railqual: Examining the

Applicability of Fuzzy Logic, International Journal of Innovation, Management and Technology, 1(5), 2010, 478-482.

10. Devi Prasad M. and Raja Shekhar B., Evaluation of Passenger Satisfaction and Service Quality in Indian Railways – A Case Study of South Central Railway using Railqual, International Journal of Research in Commerce & Management, 2 (7), 2011, 53-58.

11. D. Paul Dhinakaran, Passengers Perception towards Service Quality in Tamilnadu State Transport Corporation (Kumbakonam) limited,

Kumbakonam. Annamalai University, Annamalai Nagar, India, 2014.

12. Vanniarajan T., A. Stephen., Railqual and Passenger Satisfaction: An Empirical Study in Southern Railways, Asia Pacific Business

Review, 4(1), 2008, 64-75.

13. Fazlina Waris, Jusoh Yacob Wan Zakiyatussarrioh, Customers Perception towards Electric Commuter Train Services: Application of Logistic Regression Analysis, Proceedings of the Regional Conference on Statistical Sciences, 2010, 274-282.

14. Gajendran A., A Comparative Study on Passengers’ Satisfaction between Public Sector and Private Sector Bus Transport Service

Industries in Tamil Nadu (with Special Reference to Chennai District), MGR Educational and Research Institute University, Chennai, India, 2013.

15. S. Gamdhimathi, Evaluate the Railway Platforms Service Quality of the Southern Railways, Indian Journal of Applied Research, 3(4),

2013, 64-65. 16. Allen W.G. and DiCesare F., Transit Service Evaluation: Preliminary Identification of Variables Characterizing Level of Service,

Transportation Research Record, 606, 1976, 47-53.

17. Sillock DT., Measures of Operational Performance for Urban Bus Services. Traffic Engineering and Control, 22(12), 1981,645–648. 18. C.R. Kothari, Research Methodology: Methods and Techniques (New Age International (P) Ltd, New Delhi, 2004).

19. Donald R. Cooper and Pamela S. Schindler, Business Research Methods (McGraw-Hill/Irwin Series, New York, 2014).

17.

Authors: Jipson George Thoomkuzhy, Mohammed Nazeh,

Paper Title: Change in the Role and Competencies of Global CIO’s in Cloud and IoT Based Organizations- A Study

on it and Business Leaders

Abstract: Cloud computing and IOT has changed the path organizations crosswise over businesses work. This

survey paper explored the role of the worldwide CIOs in regards to their key work limits and their fundamental

capacities and competencies which are required all together for a CIO to achieve unrivalled various levelled

execution without bounds of business condition in cloud and IoT based organizations. The revelations of this

survey will offer understanding to five (business strategy, IT strategy, change agent, IT functional leader,

Technology advocate) key work areas and the essential competencies which we acknowledge are principal to the

role of the worldwide CIO in the present and future business condition. The revelations will furthermore

demonstrate that the worldwide CIO role is twisting up logically and is key to driving improvement, various

levelled change, and innovative change. Thusly, the worldwide CIO ought to be a visionary fundamental pioneer

with famous social capacities and business perception and the ability to collaborate equitably over the focal

business limits and with key business accessories. The role of the Chief Information Officer (CIO) has ended up

being continuously trying and awesome as information correspondences advancement has ended up being basic for

general organizations. To date, there has been little research which has precisely investigated the roles and the

fundamental competencies of the worldwide CIO. An online outline of CIOs avowed the importance of CIO

competencies and featured the essential ones. A course of action of the fundamental competencies of CIOs was

broke down in this survey. The key disclosures exhibit that the role of the worldwide CIOs has advanced toward

ending up continuously business drew in and crucial in a cloud and IOT based organizations. In the long run, how

a CIO leads and manages his/her ICT staff will immensely affect how viable a CIO is in the role. In any case, the

CIO still requires the learning of key advancement aptitudes along these lines, singular data or access to extra

capacities is likewise basic in their role.

Keywords: Cloud, IoT, CIO, CTO, CEO, CFO, COO

References: 1. Lane, M. S., &Koronios, A. (2007). Critical competencies required for the role of the modern CIO. ACIS 2007 Proceedings, 90.

2. Hodgson, L., & Lane, M. S. (2010). What are the key job functions and critical competencies required for the role of the CIO in achieving superior organizational performance?. Issues in Informing Science and Information Technology, vol 7, 257-266.

3. Robbins, S., & Pappas, A. (2004). Within and Beyond: Understanding the Role of the CIO. CIO wisdom: Best practices from silicon

valley's leading IT experts, 1. 4. Elkin, D. (2012). The strategic CIO: The change advocate. CIO, (Mar/Apr 2012), 10

5. Von Simson, Ernest. "The new role of the CIO". ww.businessweek.com. Retrieved 13 October 2018.

6. Lawry, Rachel; Waddell, Dianne; Singh, Mohini (2007). "Roles, Responsibilities and Futures of Chief Information Officers (CIOs) in the

Public Sector" (PDF): 3. Retrieved 14 October 2018.

7. Peppard, Joe (August 2010). "Unlocking the Performance of the Chief Information Officer (CIO)". California Management Review. 52

(4): 5. Retrieved 14 October 2018. 8. Gottschalk, P. (Ed.). (2006). CIO and Corporate Strategic Management: Changing Role of CIO to CEO: Changing Role of CIO to CEO.

IGI Global.

9. Laplante, P. A., & Bain, D. M. (2005). The changing role of the CIO: Why IT still matters. IT Professional Magazine, 7(3), 45 10. Carter, M., Grover, V., & Thatcher, J. B. (2011). The emerging CIO role of business technology strategist. MIS Quarterly Executive,

10(1).

96-113

18.

Authors: Deepesh Kr Yadav, Jaya Yadav

Paper Title: Perception of Employees About Changing Paradigm Shift Towards HR Practices In ITES Companies of

Noida

Abstract: The present paper aims to investigate the evolution of HR Practices over the span of time as well as

the change in the function of HR Practices in 21st century. The paper will also confer about the introduction of

Information & Communication Technology (ICT) to the HR Practices in connection with an e-HRM. This paper in

turn would help in finding out the paradigm shift and perception of employees in terms of acceptance e-HRM

Practices, its simplicity of use and convenience as a HR Practices in ITES companies of Noida.

Keywords: e-HRM, HRM, Information and Communication Technology (ICT), Technology Acceptance

114-121

Model (TAM).

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2. Bernardin, H. J., Russel, J. E. A. (1993). Human Resource Management- An experimental Approach. New York: McGraw Hill.

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8. Emma, P., Tyson, S. (2008). Can technology transform HR processes? The case of UK recruitment. The 2nd EAW on E-HRM : barrier or

trigger for an HRM Transformation? 9. Emma Parry, Shaun Tyson, 2011 Desired goals and actual outcomes of e-HRM, Human resource management journal, 2011.

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11. Guerci, M. and Shani, A.B. (2013), “Moving toward stakeholder- based HRM: a perspective of Italian HR managers”, International Journal of Human Resource Management, Vol. 24, No. 6, pp. 1130- 1150.

12. Guest, DE &Peccei, R 1994, ‘The Nature and Causes of Effective Human resource Management’ British Journal of Industrial Relations,

Vol 32, no. 2, pp 219-242. 13. Hooi, L.W., ―Implementing e-HRM: The Readiness of Small and Medium Sized Manufacturing

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performance. Academy of Management Journal, 38(3), 635-672. 17. Johnson, R.D. and Gueutal, H.G. (2011). Transforming HR through technology: The use of E-HR and HRIS in organizations, Society for

human resource management (SHRM) foundation, Alexandra: United States of America.

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19. Lengnick-Hall, M.L., ―Strategic Human Resource Management: The Evolution of the Field Human Resourceǁ, Management Review,

19(2), pp 64-85, 2009. 20. Ruel, H.J.M., Bondarouk, J.K., ―E-HRM: Innovation or Irritation. Explorative Empirical Study in Five Large Companies on Web-Based

HRMǁ, Management Review, 15 (3), pp 364-380, 2004.

21. Strauss, Anselm L. (1978). Negotiations. Varieties, contexts, processes, and social order. San Francisco: Jossey-Bass 22. Shrivastava, S. & Shaw, J.B. (2003). Liberating HR through technology. Human Resource Management, Vol. 42 (3), pp. 201-22.

23. Strohmeier, S., ―Research in E-HRM: Review and Implicationsǁ, Human Resource Management Review, 17(1), pp 19-37, 2007.

24. YaseminBal, (2011),“The new human resources management in the 21st century: a strategic view”, Annual conference on innovations in Business & Management, The Center for Innovations in Business and Management Practices, London, UK, 2011.

19.

Authors: Rajeev Malik, Jaya Yadav, Deepesh Yadav

Paper Title: Role of Spiritual Leadership in Enhancing Employees' Job Performance: A study of Organized Retail

Sector in India

Abstract: This study has been undertaken in order to understand the impact of spiritual leadership on the extent of

job performance in organized service sector of India. For the purpose of the study, sampled population from three

chosen organized retail stores in Delhi, NCR region have been chosen for conducting survey and their feedbacks

have been collected by administering close-ended questionnaire among them. While the research findings establish

positive correlation between employee job performance and spiritual leadership, it also suggests that this form of

leadership is most effective in fostering organizational citizenship behavior and organizational commitment among

employees.

Keywords: Employee Performance, Spiritual Leadership, Organizational Commitment, Job Satisfaction, Delhi

NCR.

References: 1. Abdi, H., Edelman, B., Valentin, D., & Dowling, W. J. (2009). Correlation. In Experimental Design & Analysis for Psychology (Vol. 2,

pp. 16–38).

2. Albrech, S. L. (2011). Handbook of employee engagement: Perspectives, issues, research and practice. In Human Resource Management

International Digest (Vol. 19).

3. Aravamudhan, N. R., & Krishnaveni, R. (2015). Spirituality at Work Place – An Emerging Template for Organization Capacity Building?

Purushartha: A Journal of Management Ethics and Spirituality, 7(1).

4. Aydin, B., & Ceylan, A. (2009). The effect of spiritual leadership on organizational learning capacity. African Journal of Business Management, 3(5), 184.

5. Bagga Teena, Srivastava Sanjay, (2014) "SHRM: alignment of HR function with business strategy", Strategic HR Review, Vol. 13 Issue:

4/5, https://doi.org/10.1108/SHR-03-2014-0023 6. Chandani, A., Mehta, M., Mall, A., & Khokhar, V. (2016). Employee Engagement: A Review Paper on Factors Affecting Employee

Engagement. Indian Journal of Science and Technology, 9(15).

7. Chin-Yi, C., & Chin-Fang, Y. (2012). The Impact of Spiritual Leadership on Organizational Citizenship Behavior: A Multi-Sample Analysis. Journal of Business Ethics, 105(1), 107–114.

8. Dajani, M. A. Z. (2015). The Impact of Employee Engagement on Job Performance and Organisational Commitment in the Egyptian

Banking Sector. Journal of Business and Management Sciences, 3(5), 138–147. 9. Dale Carnegie Training. (2012). WHAT DRIVES EMPLOYEE ENGAGEMENT AND WHY IT MATTERS.

10. Fry, L. W. (2005). Spiritual leadership and army transformation: Theory, measurement, and establishing a baseline. The Leadership

Quarterly, 16(5), 835–862. 11. Gray, D. E. (2013). THEORETICAL PERSPECTIVES AND RESEARCH METHODOLOGIES. In DOING RESEARCH in the REAL

WORLD (pp. 16–34). Sage Publications. Retrieved from http://www.sagepub.com/upm-data/58626_Gray__Doing_Research_in_the_Real_World.pdf

12. Gupta, M., Ganguli, S., & Ponnam, A. (2015). Factors Affecting Employee Engagement in India: A Study on Offshoring of Financial

Services. CAHSS Journals, 20(4). 13. Hicks, D. A. (2003). Religion and the Workplace: Pluralism, Spirituality, Leadership. Cambridge University Press.

14. Javanmard, H. (2012). The Impact of Spirituality on Work Performance. Indian Journal of Science and Technology, 5(1).

122-128

15. Kaya, A. (2015). The Relationship between Spiritual Leadership and Organizational Citizenship Behaviors: A Research on School

Principals’ Behaviors. Educational Sciences: Theory & Practice, 15(3), 597–606.

16. Krishnakumar, S., Houghton, J. D., Neck, C. P., & Ellison, C. N. (2015). The “good” and the “bad” of spiritual leadership. Journal of Management, Spirituality & Religion, 12(1), 17–37.

17. Macey, W., & Schneider, B. (2008). The Meaning of Employee Engagement. Industrial and Organizational Psychology, 1, 3–30.

18. Mansor, N., Ismail, A. H., Alwi, M. A. M., & Anwar, N. (2013). Relationship between Spiritual Leadership and Organizational

Commitment in Malaysians’ Oil and Gas Industry. Asian Social Science;, 9(7).

19. Meng, Y. (2016). Spiritual leadership at the workplace: Perspectives and theories. Biomedical Reports, 5(4), 408–412.

20. Najafluye Torkamani, Z., Naami, A. Z., Hashemi Sheykhshabani, S. E., & Beshlide, K. (2015). The Effect of Spiritual Leadership with Organizational Commitment, Productivity and Knowledge Performance with Mediating Spiritual Well-Being and Learning Organization,

in Employees of Bidboland Gas Company. International Journal of Psychology and Behavioral Research, 4(1), 133–143.

21. Reave, L. (2005). Spiritual values and practices related to leadership effectiveness. The Leadership Quarterly, 16, 655–687. 22. Reave, L. (2005). Spiritual values and practices related to leadership effectiveness. The Leadership Quarterly, 16, 655–687.

23. Sakovska, M. (2012). Importance of Employee Engagement in Business Environment.

24. Saunders, M., Lewis, P., & Thornhill, A. (2009). Research Methods for Business Students (5th ed.). Essex, England: Pearson Education Limited.

25. Sridevi, M. S., & Markos, S. (2010). Employee Engagement: The Key to Improving Performance. International Journal of Business and

Management, 5(12), 89–96. 26. Sykes, A. O. (2007). An Introduction to Regression Analysis. American Statistician, 61(1), 101–101. https://doi.org/10.1198/tas.2007.s74

27. Tabatabei, S. A. N., Jooneghani, R. B., & Mirghaed, H. T. (2014). Impact of Spiritual Leadership on Organizational Citizenship Behavior

(Case Study: Jahad Agriculture Organization in Isfahan). A Journal of Multidisciplinary Research, 3(10), 23–33.

20.

Authors: Jennifer Ellah Adaletey, Valliappan Raju, Siew Poh Phung

Paper Title: Role of Stakeholder in Revenue Mobilization to Alleviate Poverty in Ghana using E-Governance

Mechanisms

Abstract: The purpose of this paper is to investigate the role of the stakeholder in revenue mobilization at the

MMDAs in Ghana as a roadmap to further identifying ways of achieving revenue improvements and poverty

reduction by adopting e-governance mechanisms. This study also identifies three main roles of the stakeholders in

the MMMDs to be: Compliance, Motivation to comply, Enforcement; and a moderating role to be monitoring and

supervisory. It was conducted in selected MMDAs in Ghana and the findings may not apply to all other MMDAs.

There is also literature limitation. The practical implication should help understand the importance of adopting e-

governance in Ghana’s revenue generation system which will help avoid problems like evasion and improve

revenue as a dimension to poverty reduction. The paper identified role of the stakeholder at the local level.

Previous studies focused on stakeholder management and regulations that help prevent evasion and other

problems, thus this study delves into e-governance integration into Ghana’s revenue system which is an area that

has not received much attention in several literature.

Keywords: Stakeholder, MMDAs, Metropolitan, Municipal or District Assemblies, Revenue mobilization,

Revenue improvements, Poverty alleviation, E-governance.

References: 1. Adedeji, T. O. &Oboh, C. S. .., 2012. An Empirical Analysis of Tax Leakages and Economic Growth in Nigeria. European Journal of

Economics, Finance and Administrative Sciences, 10(48), pp. 448-458.

2. Adu-Gyamfi, E., 2014. Effective Revenue Mobilisation by Districts Assemblies: A Case Study of Upper Denkyira East Municipal Assembly of Ghana. Public Policy and Administration Review, 2(1), pp. 97-122.

3. Akorsu, P. K., 2015. An Evaluation Of The Effectiveness Of Revenue Mobilisation In The Public Sector Of Ghana. International Journal

of Economics, Commerce and Management, III(1), pp. 1-16. 4. Alupungu, E. et al., 2014. Analysing the sources of internally generated funds and its contributions; evidence from Kumasi Metropolitan

Assembly.Master’sThesis., Kumasi: Kwame Nkrumah University of Science & Technology, Kumasi. 5. Antwi, J., 2013. Stakeholder Analysis Of Roles And Responsibilities In The Implementation Of Fiscal Decentralization Policy Reform In

Ghana. Institute Of Local Government Studies, 213(1), pp. 1-117.

6. Appiah-Agyekum, N., Danquah, N. &Sakyi, E., 2013. Local government finance in Ghana:Disbursement and utilisation of the MP's share of the District Assemblies Common Fund. Commonwealth Journal of Local Governance, 12(5), pp. 90-109.

7. Atta-Mills, J., Alder, J. &Sumaila, U., 2004. The decline of a regional fishing nation: the case of Ghana and West Africa. Natural

Resources Forum, Volume 28, pp. 13-21. . 8. Bhatnagar, S., 2004. E-governace: Conceptual Framework, Delhi: Sage Publications.

9. Brooks, C., Hillenbrand, C. & Money, K., 2015. What Stakeholders Expect from Corporations When it comes to Paying tax: Corporate

Reputation and Optimal Tax Planning. Henley Business School, pp. 1-120.

10. Creswell, J. W., 1999. Mixed-method research: Introduction and application. Handbook of educational policy, pp. 455-472.

11. Dyreng, S. & Lindsey, B., 2016. Using financial accounting data to examine the effect of foreign operations located in tax havens and

other countries on US multimational firms' tax rates. Journal of Accounting Research, 47(5), pp. 1283-316. 12. Fisher, J. M., 2014. Fairer Shores: Tax Havens, Tax Avoidance, And Corporate Social Responsibility. Boston University Law Review,

94(337), pp. 336-365.

13. Gaspar, V. et al., 2015. Current Challenges In Revenue Mobilization: Improving Tax Compliance, Washington, D.C.: International Monetary Fund Policy Papers.

14. Geremek, B., 1997. Poverty: A History. 1 ed. Oxford: Blackwell Publishers.

15. Gomes, R. C., 2004. Who are tghe relevant stakeholders to the Local Government Context? Empiricall Evidence on Envirnonmental influences in the Decision-Making Process of English Local Authorities. Brazilian Administrative Review, 1(1), pp. 34-52.

16. Hair, J. F. R. C. M. S. M., 2003. PLS-SEM: Indeed a silver bullet.,. Journal of Marketing Theory and Practice, 19(2), pp. 139-152.

17. Kessey, K., 2006. Traditional leadership factor in modern local government system in Ghana: Policy implementation, role conflict and marginalisation. Journal of Science and Technology, KNUST, 10(5), pp. 15-39.

18. Okafor, G. T., 2012. Revenue Generation in Nigeria Through E-Taxation. European Journal of Economics,Finance and Administrative

Sciences, 10(49), pp. 50-75. 19. Saunders, M., Lewis, P. &Thornhill, A., 2009. Research methods for business students. New York: Prentice Hall.

20. Sekaran, U. &Bougie, R., 2010. Research methods for business: A skill building approach Chichester:. 5th ed. s.l.:John Willey & Sons

Ltd. 21. Terkper, S. E., 2015. The Budget Statement And Economic Policy Of The Government Of Ghana Presented To Paliament, Accra:

Ministry of Finance, Public Relations Office.

22. World Bank, 2017. World Bank Definition of E-govemment,. [Online] Available at: http://go.worldbank.org[Accessed 20 January 2017]. 28. Yeboah, K. & Johansson, L., 2010. Urban Management Land Information System UMLIS: Facing Urban Challenges through Efficient

129-133

Revenu, London: Lynne Rienner Publishers.

21.

Authors: Paul Asif Ali Naqvi, Abdullah Saeed Sulaiman Bagaba, Sara Ravan Ramzani

Paper Title: The Consumer Price Index as a measure of Consumer Price Inflation

Abstract: This study examines the relationship between the Consumer Price Index and consumer price

inflation within Malaysia. The purpose is to establish whether or not the Consumer Price Index can be used as an

accurate measure of consumer price inflation, the paper contrasts and compares historical data in order to establish

a relationship between the two variables. Hence, a correlational methodology and approach has been adopted as is

it imperative for an accurate comparison to be drawn. The historical data used and compared ranges from 2014 –

2017 however, a brief history was also required in order to gain an accurate understanding of the Consumer Price

Index and inflation within the country, along with the factors that influence it; therefore, data from as far as 1973

was utilized within the literature review. Through this comparative study we can also gain an understanding of the

type of impact (in terms of figures) that consumer price inflation has on the Consumer Price Index as either a

percentage increase or decrease.

Keywords: consumer price index, inflation, Malaysia.

References: 1. Bank Negara Malaysia, 2015. INFLATION DEVELOPMENTS. Bank Negara Malaysia Annual Report 2014, [Online]. 37, 85. Available

at: http://www.bnm.gov.my/files/publication/ar/en/2014/ar2014_book.pdf [Accessed 26 October 2018].

2. Bank Negara Malaysia, 2016. INFLATION DEVELOPMENTS. Bank Negara Malaysia Annual Report 2015, [Online]. 60, 120.

Available at: http://www.bnm.gov.my/files/publication/ar/en/2015/ar2015_book.pdf [Accessed 26 October 2018]. 3. Bank Negara Malaysia, 2017. INFLATION DEVELOPMENTS. Bank Negara Malaysia Annual Report 2016, [Online]. 30, 81. Available

at: http://www.bnm.gov.my/files/publication/ar/en/2016/ar2016_book.pdf [Accessed 26 October 2018]. 4. Bank Negara Malaysia, 2018. INFLATION OUTLOOK. Bank Negara Malaysia Annual Report 2017, [Online]. 85. Available at:

http://www.bnm.gov.my/files/publication/ar/en/2017/ar2017_book.pdf [Accessed 26 October 2018].

5. Leedy, Ormrod, J.E., P.D.2010. Practical Research: Planning and Design. 9th edn. Pearson Educational International, Boston [Accessed 27 October 2018].

6. Murdipi, Hook Law, Rafiqa, Siong, 2016. Dynamic Linkages between Price Indices and Inflation in Malaysia. JurnalEkonomi Malaysia,

[Online]. Available at: http://journalarticle.ukm.my/10768/1/jeko_50%281%29-4.pdf [Accessed 27 October 2018]. 7. Venkadasalam, Saravanan, 2015. The Determinant of Consumer Price Index in Malaysia. Journal of Economics, Business and

Management, [Online]. Vol. 3, N/A. Available at: http://www.joebm.com/papers/344-E00003.pdf [Accessed 27 October 2018].

134-136

22.

Authors: S. Kaliappan

Paper Title: Embedded System Based Secured Car Parking System

Abstract: Due to increase in both population and in the usage of cars the city experiences traffic congestion

and air pollution. In a way of overcoming these issues, a scheduled parking system must be deployed. As the

population increases, number of persons roaming around the city in searching for parking slots also increases.

Though many solutions have been proposed, those solutions were not scalable. But this paper proposes a scalable

and cost-effective solution for car parking and pre-booking. This can be implement educing sensors and processors

.Ultrasonic sensors are placed in each slot for finding the presence of cars and the data of ultrasonic sensor is fed to

the Arduino Mega for processing. The processed data is transmitted to the cloud server using Node MCU and that

information can be accessible by a user through a mobile application or webpage and mechanical system is added

for security purposes.

Keywords: Sensors, Processor, Arduino Mega, Node MCU, Ultrasonic sensor, Cloud server, Mobile application

and Webpage.

References: 1. Pampa Sadhu khan,”AnIoT-based E-Parking System for Smart Cities,” Researchgate.net publication, September 2017.

2. R.ArulbelBenela and Dr.K.Jamuna, “Design of Charing Unit for Electric Vehicles Using Solar Power”, IEEE, 29 April 2013. 3. Baratam.M Kumar Gandhi and M.KameswaraRao, A Prototype for IoT based Car Parking Management System for Smart Cities, Indian

Journal of Science and Technology, Vol9(17),May2016.

4. VrushaliD.Ichake, Priya D. Shitole and MohsinMomin, KanchanS. Smart Car Parking System Based on IoT Concept, International Journal of Engineering Science Invention, Volume5 Issue3, March2016.

5. HongweiWangandWenboHey “A Reservation based Smart Parking System” The First International Workshop on Cyber-Physical

Networking Systems, 2011 6. QunLi, Member, IEEE, and Daniela Rus, Member, IEEE”Global Clock Synchronization in Sensor Networks “IEEE Transactions on

Computers, February2006

7. XinWang, Member ,IEEE, and Henning Schulzrinne, Senior Member, IEEE “Pricing Network Resources for Adap-tive Applications” IEEE/ACM Transactions on Networking, June2006.

8. JatupornChinrungruengUdompornSunantachaikul Sa-tienTriamlumlerd,”Smart Parking: an Application of optical wireless Sensor

Network”. Proceeding of the 2007 International Symposiumon Applications and the Internet Workshops 2007 9. RongxingLu, XiaodongLin, HaojinZhu, and Xuemin(Sherman) Shen ”SPARK: A New VANET-based Smart Parking Scheme for Large

Parking Lots” IEEE Communications Society subject matter experts for publication in the IEEE INFOCOM2009.

10. YanlinPeng, ZakhiaAbicharand J. Morris Chang”Roadside-Aided Routing (RAR) in vehicular networks” IEEE Communications Society subject matter experts for publication in the IEEEICC2006

11. YanfengGeng, Student Member, IEEE, and Christos G. Cassandras, Fellow, IEEE “A New―Smart Parking” System Based on Resource

Allocation and Reservations”IEEE Transactions on Intelligent Transportation systems 2013 12. Jihoon Yang, Jorge Portilla and Teresa Riesgo”Smart Parking Service based on Wireless Sensor Networks” IEEE, 2012.

13. Vignesh.L, Kaliappan.S, Ramkumar.R

14. Comparison of Dc-Dc Converter for BLDC Motor. Published BYAENSI Publication ISSN: 1995-0772 EISSN: 1998-1090 2017 Special11 (5):pages25-31

15. S.V.Srikanth, PramodP.J, DileepK.P, TapasS, MaheshU.Patil, Sarat Chandra Babu N “Design and Implementation of a prototype Smart

Parking (SPARK) System using Wireless sensor networks”, International Conference on Advanced Information Networking and Applications Work-shops, 2009.

16. Vignesh.L, Kaliappan.S, Ramkumar.R "IOT Based Vegetable Production and Distribution through Big Data Application" IJSART -

137-141

Volume 3 Issue 2 –FEBRUARY 2017 ISSN [ONLINE]:2395-1052

17. [16] K. Indira Devi, dr. S. N. Deepa,” Classification Of Cardiac Arrhythmia Using Artificial Neural Network With Optimization

Algorithm”, International Journal Of Innovations In Scientific And Engineering Research, Vol. 3, Iss.1, 2016, Pp.1-7. 18. T. Karuppusamy, C. Velmurugan, S. Saran, K. SukanthanBabu,” Investigation On The Microstructure And Wear Characteristics Of Heat

Treated Hybrid Aluminium Composites”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9,Sp– 6,

2017,Pp.1895-1912.

19. M.Mohanraj And G.Anushree,” Design Of Upqc Based On Modular Multilevel Matrix Converter For Mitigation Of Voltage Sag And

Current Harmonics”, International Journal Of Pure And Applied Mathematics, Vol.116, No. 11, 2017, Pp.131-139

23.

Authors: Tamilarasu Viswanathan, P Maithili

Paper Title: A Novel Improved Resonant LLC Converter with Minimal Components

Abstract: This paper presented a novel improved resonant LLC converter with minimal components compared

with existing design. Conventional Full H-Bridge in converter replace with differential boost for improving the

overall gain of the circuit and also able to operated buck, boost and buck-boost. As a result, the component size is

significantly reduced and enhance the size and cost of the converter. Different modes of operations presented for

understanding the new converter in terms of switching frequency and gain. An Experimental and simulation result

confirms the effectiveness of the proposed inverter.

Keywords: Resonant tank, DC-DC converter, buck, boost, buck-boost, switching frequency, inverter,

overall gain.

References: 1. R. L. Steigerwald, ”A comparison of half-bridge resonant converter topologies,” IEEE Transactions on Power Electronics, vol. 3, Issue 2,

pp. 174-182, Apr. 1988.

2. J M. Kazimierczuk and D. Czarkowski, ”Resonant Power Converter,” John Wiley & Sons, Inc., 1995.

3. D. Sharmitha. andP. Maithili. ”Solar Powered Intelligent Street Lighting System for Highway Application.” International journal of pure and applied mathematics,vol116no11 2017,151-160.

4. Infineon Technologies: ICE2HS01G datasheet, High Performance Res- onant Mode Controller, V1.1, August 2011.

5. K. Malarvizhi, R. Vijayakumar and S. Divyapriya, ”Electrical Demand Response Using Electric Vehicle and Renewable Energy Sources”,International journal of pure and applied mathematics, vol116no11,2017,191-199.

6. K.Malarvizhi, R.Kiruba,” A Novel Method Of Supervision And Control Of First Order Level Process Using Internet Of Things” ,Journal

of Advanced Research in Dynamical and Control Systems,vol9No6,2017,1876-1894. 7. H.F. Xiao, K. Lan, L. Zhang, A Quasi-Unipolar SPWM Full-Bridge Transformer less PV Grid-Connected Inverter with Constant

Common- ModeVoltage,IEEETrans.PowerElectron.,vol.30,no.6,pp.3122-3132, Jun.2015.

8. H. Wang, S. Dusmez, A. Khaligh, Maximum Efficiency Point Tracking Technique for LLC-Based PEV Chargers Through Variable DC Link Control, IEEE Trans. Ind. Electron, vol.61, no.11, pp.6041-6049, Nov. 2014.

9. R. Beiranvand, B. Rashidian, M. R. Zolghadri, S. M. H. Alavi, A Design Procedure for Optimizing the LLC Resonant Converterasa

Wide Output Range Voltage Source,,IEEETrans.PowerElectron.,B.W.-K. Ling, J. Lam, Computer-vol.27, vol.27, no.7, pp.3243-3256, July 2012.

I. Lee, S. Cho, G. Moon, Three-Level Resonant Converter with Double Resonant Tanks for High-Input-Voltage Applications, IEEE Trans.

Ind. Electron, vol.59, no.9, pp.3450-3463, Sept. 2012. 10. S. Zong, H. Luo, W. Li, X. He, C. Xia, Theoretical Evaluation of Stability Improvement Brought by Resonant Current Loop for

Paralleled LLC Converters, IEEE Trans. Ind. Electron, vol. 62, no. 7, pp. 4170- 4180, July 2015.

11. D. G. Holmes and T. A. Lipo, Pulse Width Modulation for Power Converters Principles and Practice, Hoboken, NJ, USA: Wiley, 2002, ch. 4, pp. 156-177.

12. J. Dudrik, N. D. Trip, Soft-Switching PS-PWM DCDC Converter for Full-Load Range Applications, IEEE Trans. Ind. Electron., vol. 57,

no. 8, pp. 2807 -2814, Aug. 2010.

142-145

24.

Authors: P. Thirumoorthi, Nandini K

Paper Title: Implementation of Hybrid Controller Based PMSM Drive for Improved Dynamic Response

Abstract: This paper provides a closed loop Field Oriented Control technique incorporating Fuzzy Logic

Controller for torque ripple minimization and speed control of permanent magnet synchronous motor drive. The

execution of the proposed FLC technique is compared with that of the conventional Proportional Integral

controller. The ability of the proposed controller is analyzed in simulation for various operating conditions. The

results show that FLC based PMACSM drive provides improved speed and torque response compared to

conventional PI controller. The proposed technique is implemented in MATLAB/Simulink.

Keywords: Permanent Magnet AC Synchronous Motor (PMACSM), Field Oriented Control (FOC), Space Vector

Pulse Width Modulation (SVPWM), Vector control, Proportional Integral (PI) controller and Fuzzy Logic

Controller (FLC).

References: 1. M NasirUddin, JamshidKhastoo, “Fuzzy Logic Based Efficiency Optimization and High Dynamic Performance of IPMSM Drive System

in Both Transient and Steady –State Conditions”, IEEE Trans. on Ind.Appl,vol.50,No.6,2014. 2. Zhenhua Deng, XiaohongNian, “Robust Control of Permanent Magnet Synchronous Motors”, IEEE/CAA Journal of AutomaticaSinica,

vol.2, No.2, April 2015.

3. Jiaqi Liu, Chengde Tong, Zengfeng Jin, GuangyuanQiao, Ping Zheng, “Research on System Control and Energy Management Strategy of Flux-Modulated Compound- Structure Permanent Magnet Synchronous Machine”,CES Trans. on Electrical Machines and Systems, vol.1,

No.2, June 2017.

4. M Nasir Uddin, “An Adaptive –Filter-Based Torque –Ripple Minimization of a Fuzzy –Logic Controller for Speed Control of IPM Motor Drives”, IEEE Trans. on Ind.Appl.vol.47, No.1, Jan/Feb 2011.

5. M NasirUddin,MdMuminul Islam Chy, “A Novel Fuzzy Logic Controller Based Torque and Flux Controls of IPM Synchronous

Motor”,IEEETrans.on Ind.Appl.vol.46, No.3, May/June 2010. 6. ShoebHussain, Mohammad AbidBazaz, “Comparative Analysis of Speed Control Strategies for Vector Controlled PMSM Drive”,

International Conference on Computing, Communication and Automation, 2016.

7. M NasirUddin, M AzizurRahman, “High Speed Control of IPMACSM Drives Using Improved Fuzzy Logic Algorithms”, IEEE Trans. on

Industrial Electronics, vol.54, No.1, Feb 2007.

8. M NasirUddin, Tawfik S Radwan, M AzizurRahman, “Fuzzy Logic Controller Based Cost Effective Four Switch Three Phase Inverter

146-149

Fed IPM Synchronous Motor Drive System”, IEEE Trans.on Ind.Appl.vol.42, No.1, Jan/Feb 2006.

9. Thirumoorthi P, and Yadaiah N, “Control of Shunt Active Power Filter using Soft Computing Techniques”, Journal of Vibration and

Control, Vol. 20(5), 2014, pp. 713–723 10. K.Premalatha, S. Vasantharathna, P.Thirumoorthi and N.Yadaiah, “Harmonic Current Compensation In Self Excited Induction Generator

Using Active Filter”, Istanbul University Journal of Electrical & Electronics Engineering, Vol. 15 (1), 2015, pp. 1873-1881.nic

25.

Authors: P. Thirumoorthi, Raheni T D

Paper Title: Artificial Neural Network Controlled Shunt Active Power Filter for Minimization of Current Harmonics

in Industrial Drives

Abstract: In this paper development of three phase voltage controlled shunt active power filter is designed to

compensate the harmonic current present in nonlinear load. The designed system overcomes the limitations of

passive filter because of its resonance and bulky size. Voltage controlled shunt active power filter is the effective

method for compensating harmonic elements caused by rectifier with RLE (nonlinear) load. In the proposed

system classical PI controller is implemented and minimizes the ripple voltage of the DC capacitor voltage. The

techniques used to control algorithm deals with the concept of instantaneous power of P-Q theory and a

combination of neural network based intelligent technique to calculate three phase reference compensating current.

The results ofPI based instantaneous power of P-Q theory and intelligent technique such as artificial neural

network based back propagation algorithm is implemented and simulation are carried out in MATLAB/ Simulink

environment.

Keywords: PI controller, Voltage Controlled Shunt Active Power Filter (VCSAPF), Artificial Neural Network

(ANN), Total Harmonic Distortion (THD)

References: 1. Tey,L.H,Chu,Y.C “Improvement of power quality using adaptive shunt active filter” ,IEEE Transactions on Power Delivery,vol. 20, April

2005.

2. Akagi .H, “Modern active filters and traditional passive filters”, Bulletin of the polish academy of technical sciences, vol. 54, no. 3,

pp.255-269, 2006. 3. Ahmed M. Mohammed, “Analysis and simulation of shunt active power filter for harmonic cancellation of nonlinear loads”, Eng& Tech.

Journal, vol.28, no.16, 2010.

4. Thirumoorthi P, N.Shanmugam, Yadaiah N, “Power quality improvement in induction furnance through harmonic current compensation”, International Conference in Green Computing Communication and Electrical Engineering(ICGCCEE),IEEE,DOI-

10.1109/ICGCCEE.2014.6922383, 6-8 March 2014.

5. Anju Jacob, Babitha T Abraham, NishaPrakash and Riya Philip, “ A review of active power filters in power system applications”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering(IJAEREEIE), vol.3, issue:6, June

2014.

6. S. Rahmani, A. Hamadi, K. Al-Haddad, and L.A. Dessaint, “A combination of shunt hybrid power filter and thyristor-controlled reactor for power quality”, IEEE Trans. Ind. Electron., vol. 61, no. 5, pp. 2152–2164, May 2014.

7. PapanDey and SaadMekhlief, “Current harmonics compensation with three phase four – wire shunt hybrid active power filter based on

modified D-Q theory”, Institute of Engineering and Technology, Power Electronics ,vol.8, issue:11, pp. 2265-2280, 2015. 8. Jarupulasomlal, VenuGopalaRao.Mannam,Narishma Rao.vutlapalli,“Power quality improvement in distribution system using ANN based

shunt active power filter”, IEEE Trans. Ind. Electron., vol. 61, no. 5, pp. 2152–2164, Apr 2015.

9. B.Mangaiyarkarasi, P M Balasubramaniam, “Implementation of artificial neural network controlled shunt active power filter for current harmonics compensation”, International Journal of Advanced Research in Computer and Communication Engineering ,vol . 4, issue: 5,

May 2015.

10. AbderrahmenBenyamina, Samir Moulahoum, IlhamiColak and RamazanBayindir, “Hybrid fuzzy logic artificial neural network controller for shunt active power filters”, International Conference on Renewable Energy Research and Applications, Nov 2016.

11. Badoni, Bhim Singh and Alka Singh, “Implementation of echo – state network based control for power quality improvement”, IEEE

Transaction on Power Electronics, 2016. 12. PrakashCh.Tah, AnupK.Panda and BibhuP.Panigrahi, “ Shunt active power filter based on radial basis function neural network and p-q

power theory”, International Journal of Power Electronics and Drive System (IJPEDS) , vol. 8, no.2, pp – 667-676, June 2017.

150-155

26.

Authors: Ram Prabu J, Pavithra R, Aswini N, Francis Brindha A

Paper Title: Wireless Smart Biometric Attendance System

Abstract: The most generally utilized techniques for taking participation in the classroom is by calling the

learners to physically sign the participation sheet which is ordinarily passed around the study room while the

educator is driving the lecture. In past, the records are taken physically and maintained the student’s records. It

was an inconvenient job for the teachers. To overcome these issues, we develop a smart biometric attendance

system which takes participation of understudy and keeping up its presence in a scholastic establishment. With the

assistance of a unique mark sensor module and every student presence are saved on a PC. Through wireless

transfer system reports are saved on the computer system.

Keywords: Arduino UNO, Fingerprint sensor, Zigbee and GSM Modules

References: 1. MurizahKassim, HasbullahMazlan, NorlizaZaini, Muhammad KhidhirSalleh “Web-based Student Attendance System using RFID

Technology” 2012 IEEE.

2. B. Rasagna, Prof. C. Rajendra “SSCM: A Smart System for College Maintenance” International Journal of Advanced Research in

Computer Engineering & technology, may 2012. 3. LI Jian-po, ZHU Xu-ning, LI Xue, ZHANG Zhi-ming “Wireless Fingerprint Attendance System Based on ZigBee Technology” 2010

IEEE.

4. O. Shoewu, O.A. Idowu “Development of Attendance Management System using Biometrics” The Pacific Journal of Science and Technology, May 2012.

5. L. Rajasekar, S. Vivek “Wireless Fingerprint Attendance System using ZigBee Technology” International Journal of Power Control

Signal and Computation (IJPCSC), Vol3. No1. Jan-Mar 2012.

6. ZatinSinghal, Rajneesh Kumar Gujral “Anytime Anywhere- Remote Monitoring of Attendance System based on RFID using GSM

Network” International Journal of Com-puter Applications, February 2012

156-159

7. J Ramprabu, T Gowthaman – “Smart Cane for Visually Impaired People”, International Journal of Computer Science and Information

Technologies,Vol 4,2013.

8. J Ramprabu, KaminiD”Remote Monitoring And Controlling Of Green House Via GPRS”, International Journal Of Computer Science And Information Technologies,Vol 4,2012.

9. J Ramprabu, K nandini ” Tamper-proofing of Embedded System Software”, International Journal of Engineering and Innovative

Technology (IJEIT), Volume 3, Issue 4, October 2013.

10. Nethaji Kumar D, L.Bharathi, R Mahadevan,” Polynomial Time Routing Algorithm To Identify Shortest Path In A Distributed Wireless

Networks”, International Journal Of Innovations In Scientific Andnal Of Innovations In Scientific And Engineering Research, Vol .4, Iss.

10,2017, Pp. 204-208. 11. Vijayanandh R , Senthil Kumar M, Vasantharaj C , Raj Kumar G, Soundarya S ,” Numerical Study On Structural Health Monitoring For

Unmanned Aerial Vehicle”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9, Sp– 6 , 2017, Pp. 1937-1958.

12. A.Amsaveni And K.Anusha,” A Circularly Polarized Triangular Slot Reconfigurable Antenna For Wireless Applications”, International Journal Of Pure And Applied Mathematics, Vol.116, No.11, 2017,Pp. 81-89.

27.

Authors: Tamilarasu Viswanathan, R Rajesh

Paper Title: Minimax Optimization of PV Panel Specifications for Different Temperatures

Abstract: Mini-max optimization scheme used for identify the PV Panel parameters for different temperatures

is presented. PV panel parameters such as output current and voltage with temperatures ideal data taken into

account for optimization.Analysis done for both normal and abnormal temperatures.Initially, the data sheet

parameters use for setting default values for settingthe optimizationriteria. This values are developed from Short

circuit current and corresponding resistances. After the optimization,the value minimize the maximum values

responsible for deviation in the optimization produce improved results. Error in the optimization produce

improved results. Error calculation done or showing the accuracy of the proposed method and optimization curve

match with presented data.

Keywords: PV panel specification, Mini-max Optimization, Temperature variation, Data Extraction

References: 1. R.SureshkumarandP.Maithili,“ThreePhaseLoadBalancingandEnergy Loss Reduction in Distributio\n Network Using

Labview”, International journal of pure & applied mathematics, vol116no11,2017,181-189.

2. Jiang, LianLian, Douglas L. Maskell, and Jagdish C. Patra. ”Parameter estimation of solar cells and modules using an

improved adaptive differential evolution algorithm.” Applied Energy 112 (2013): 185-193.

3. K. Malarvizhi, R. Vijayakumar and S. Divyapriya, “Electrical Demand Response Using Electric Vehicle and Renewable

Energy Sources”, International journal of pure & applied mathematics 116.11 (2017):191-199.

4. ManikandaPrasath K, Balaji M,” A Green Supply Chain Agility Index For E- Commerce Business: An Indian Perspective

Using Interpretive Structural Modeling”Journal of Advanced Research in Dynamical and Control Systems,Vol9no6, 2017,

pp1913-1925.

5. Xu, Shuhui, and Yong Wang. ”Parameter estimation of photovoltaic modules using a hybrid flower pollinationalgorithm.”

Energy Conver- sion and Manage ment 144 (2017): 53-68.

160-161

28.

Authors: Tamilarasu Viswanathan, S Suryaprakash, P Abinesh

Paper Title: Spread Spectrum Modulation for Multi-Input DC-DC Converter

Abstract: This project develops spread spectrum modulation for multi-input buck DC-DC converter, with a

low number of components. At the same time, independent power transfer capability is provided for input sources.

With the use of a battery without any additional switches the power flow capability has been provided. It is best

suited for hybrid energy systems or hybrid electric vehicle / electric vehicle applications. Various functional

methods of the proposed topology were provided. Subsequently, a common relationship proposed to be proposed

to calculate the critical stimulus calculation of the proposed n-input pug topology. Furthermore, a simple

proportional control output is used to regulate the voltage and assign a portion of the power to supply each internal

source. The tentry edition was modeled on modeling and simulation modeling in the proteus software to ensure the

authenticity of the proposed topology and theoretical concepts.

Keywords: Spread Spectrum Modulation,DC-DC con- verter,Random Pulse width,Renewable applications

References: 1. K. Premalatha and P. Thirumoorthi, ”Fuzzy Logic Based Direct Torque Control of Three Phase Induction Motor”. IJPAM 116.11 (2017):

171- 179. 2. K. Cui; V. Adrian; B. H. Gwee; J. S. Chang, ”A Noise-Shaped Ran- domized Modulation for Switched-Mode DC-DC Converters,” in

IEEETransactions on Circuits and Systems I: Regular Papers , vol.PP, no.99, pp.1-12.

3. R Kavitha and Rani Thottungal, ”Design and Stability Analysis of Buck- Boost Converter for Harnessing Energy From Bicycle Pedaling.” IJPAM 116.11 (2017): 161-169.

4. P. Keerthana, B.G. Geetha, 3 P. Kanmani,” Crustose Using Shape Features And Color Histogram With KnearestNeighbour Classifiers”,

International Journal Of Innovations In Scientific And Engineering Research, Vol. 4, Iss. 9,2017,Pp. 199-203. 5. K.Malarvizhi, R.Kiruba,” A Novel Method Of Supervision And Control Of First Order Level Process Using Internet Of Things”, Journal

Of Advanced Research In Dynamical And Control Systems, Vol. 9, Sp– 6 , 2017, Pp. 1876-1894.

6. Latha.L, Suriya.P And Sindhuja.V.P,” Automating The Irrigation System”, International Journal Of Pure And Applied Mathematics, Vol.116, No. 11,2017, Pp. 211-219.

162-164

29.

Authors: R. Kavitha, Niranjana C, M. Nirmala, S. Surya Prakash

Paper Title: Intelligent Transport and Safety Assisting System

Abstract: The novel concept Intelligent Transportation System (ITS) has been framed in this paper that

provides accident detection system, seat belt monitoring, vehicle pollution monitoring and density based dynamic

traffic control. Accident Detection system provides the information about the accident cases occurred in a place

through GPS and GSM where the vibration of the vehicles after a certain limit is indicated using vibration sensor.

In pollution monitoring system if the quality of emission of gas from the vehicle is not at standard rates it is

165-169

detected by gas detection sensor and high emission is indicated by an alarm. When the seat belt is locked the motor

gets triggered and starts the vehicle else the motor remains non- triggered. The traffic can be controlled

dynamically using sensors and it sends data to the controller based on the density at each intersection of the

junction. All these information assist the user to enhance the efficiency and accuracy.

Keywords: ITS, Density control, Safety assistant.

References: 1. Qi, Liang, MengChu Zhou, and WenJing Luan. "A two-level traffic light control strategy for preventing incident-based urban traffic

congestion." IEEE Transactions on Intelligent Transportation Systems Vol. 19, Issue: 1, pp. 13 – 24, Jan. 2018. 2. Y.-S. Huang, Y.-S. Weng, and M. C. Zhou, “Modular design of urban traffic-light control systems based on synchronized timed Petri

nets,” IEEE Trans. Intell. Transp. Syst., vol. 15, no. 2, pp. 530–539, Apr. 2013.

3. L. Qi, M. C. Zhou, and W. J. Luan, “Emergency traffic-light control system design for intersections subject to accidents,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 1, pp. 170–183, Jan. 2016.

4. Li, Zhiyi, et al. "A hierarchical framework for intelligent traffic management in smart cities." IEEE Transactions on Smart Grid , Early

Access ,pp. 1 - 1 (2017). 5. Sathya, D., and Ganesh Kumar. "Secured data aggregation in wireless sensor networks." Sensor Review 38.3 (2018): 369-375.

6. Sabitha, B., Akila, K., Krishna Kumar, S., Mohan, D., Nisanth, P. “Open CV based autonomous RC car ”, Journal of Advanced Research

in Dynamical and Control Systems 2017. 7. C. Osorio and K. Nanduri, “Energy-efficient urban traffic management: A microscopic simulation-based approach,” Transp. Sci., vol. 49,

no. 3, pp. 637–651, 2015.

8. Jahangiri, Arash, Vincent J. Berardi, and SaharGhanipoorMachiani. "Application of Real Field Connected Vehicle Data for Aggressive Driving Identification on Horizontal Curves." IEEE Transactions on Intelligent Transportation Systems Early Access,pp. 1 – 9, (2017).

9. M. McGurrin, “Vehicle information exchange needs for mobility applications exchange: Version 2.0,” U.S. Dept. Transp., Res. Innov.

Technol. Admin., Washington, DC, USA, Tech. Rep. FHWA-JPO-12-021, Aug. 2012. 10. Meyer, M.; Milot, D.: Lightweight and compact braking system for fast deceleration. In: ATZworldwide 119 (2017), No. 4, pp. 26–29

11. W.Wen, “An intelligent traffic management expert system with RFID technology”, Elsevier, Expert systems with applications, 2010,

pp.3024-3035.

30.

Authors: Arulananth TS, Praveen Sagar S, Anusha B

Paper Title: VLSI Design of An Area & Time Efficient Design of Overloaded CDMA Architecture Using Han

Carlson Adder

Abstract: On-chip interconnects are the performance bottleneck in modern system-on-chips. Code-division

multiple accesses (CDMA) have been proposed to implement on-chip crossbars due to its fixed latency, reduced

arbitration overhead, and higher bandwidth. In this paper, we advance overloaded CDMA interconnect (OCI) to

enhance the capacity of CDMA network-on-chip (NoC) crossbars by increasing the number of usable spreading

codes. Serial-OCI and P-OCI architecture variants are presented to adhere to different area, delay, and power

requirements. Compared with the conventional CDMA crossbar, on a Xilinx Spartan-3E FPGA kit, the serial OCI

crossbar achieves 100% higher bandwidth, 31% less resource utilization, and 45% power saving, while the parallel

OCI crossbar achieves N times higher bandwidth compared with the serial OCI crossbar at the expense of

increased area and power consumption. Further to increase the speed of OCI crossbar we are implementing Han

Carlson adder in place of parallel adder architecture The use of Han-Carlson adder gives better performance than

the existing system by 38% area reduced and 49% speed increased.

Keywords: Code-division multiple access (CDMA) interconnect, CDMA router, network-on-chip (NoC), NoC

physical layer, overloaded CDMA crossbar, Carry Select Adder, Han Carlson adder.

References: 1. K. Asanovic et al., “The landscape of parallel computing research: A view from berkeley,” Dept. EECS, Univ. California, Berkeley, CA,

USA, Tech. Rep. UCB/EECS-2006-183, 2006.

2. P.Bogdan, “Mathematical modeling and control of multifractal workloads for data-center-on-a-chip optimization,” in Proc. 9th Int. Symp.

Netw.-Chip, New York, NY, USA, 2015, pp. 21:1–21:8.

3. Z. Qian, P. Bogdan, G. Wei, C.-Y. Tsui, and R. Marculescu, “A trafficaware adaptive routing algorithm on a highly reconfigurable

network-onchip architecture,” in Proc. 8th IEEE/ACM/IFIP Int. Conf. Hardw./Softw. Codesign, Syst. Synth., New York, NY, USA, Oct.

2012, pp. 161–170.

4. Y. Xue and P. Bogdan, “User cooperation network coding approach for NoC performance improvement,” in Proc. 9th Int. Symp. Netw.-

Chip, New York, NY, USA, Sep. 2015, pp. 17:1–17:8.

5. T. Majumder, X. Li, P. Bogdan, and P. Pande, “NoC-enabled multicore architectures for stochastic analysis of biomolecular reactions,” in

Proc. Design, Autom. Test Eur. Conf. Exhibit. (DATE), San Jose, CA, USA, Mar. 2015, pp. 1102–1107.

6. S. J. Hollis, C. Jackson, P. Bogdan, and R. Marculescu, “Exploiting emergence in on-chip interconnects,” IEEE Trans. Comput., vol. 63,

no. 3, pp. 570–582, Mar. 2014.

7. S. Kumar et al., “A network on chip architecture and design methodology,” in Proc. IEEE Comput. Soc. Annu. Symp. (VLSI), Apr. 2002,

pp. 105–112.

8. T. Bjerregaard and S. Mahadevan, “A survey of research and practices of network-on-chip,” ACM Comput. Surv., vol. 38, no. 1, 2006,

Art. no. 1.

9. Y. Xue, Z. Qian, G. Wei, P. Bogdan, C. Y. Tsui, and R. Marculescu, “An efficient network-on-chip (NoC) based multicore platform for

hierarchical parallel genetic algorithms,” in Proc. 8th IEEE/ACM Int. Symp. Netw.-Chip (NoCS), Sep. 2014, pp. 17–24.

10. D. Kim, K. Lee, S.-J. Lee, and H.-J. Yoo, “A reconfigurable crossbar switch with adaptive bandwidth control for networks-on-chip,” in

Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), May 2005, pp. 2369–2372.

11. R. H. Bell, C. Y. Kang, L. John, and E. E. Swartzlander, “CDMA as a multiprocessor interconnect strategy,” in Proc. Conf. Rec. 35th

Asilomar Conf. Signals, Syst. Comput., vol. 2. Nov. 2001, pp. 1246–1250.

12. C. C. Lai, P. Schaumont, and I. Verbauwhede, “CT-bus: A heterogeneous CDMA/TDMA bus for future SOC,” in Proc. Conf. Rec. 35th

Asilomar Conf. Signals, Syst. Comput., vol. 2. Nov. 2004, pp. 1868–1872.

13. S. A. Hosseini, O. Javidbakht, P. Pad, and F. Marvasti, “A review on synchronous CDMA systems: Optimum overloaded codes, channel

capacity, and power control,” EURASIP J. Wireless Commun. Netw., vol. 1, pp. 1–22, Dec. 2011.

14. K. E. Ahmed and M. M. Farag, “Overloaded CDMA bus topology for MPSoC interconnect,” in Proc. Int. Conf. ReConFigurableComput.

170-175

FPGAs (ReConFig), Dec. 2014, pp. 1–7.

15. K. E. Ahmed and M. M. Farag, “Enhanced overloaded CDMA interconnect (OCI) bus architecture for on-chip communication,” in Proc.

IEEE 23rd Annu. Symp.High-Perform. Interconnects (HOTI), Aug. 2015, pp. 78–87.

16. T. Nikolic, G. Djordjevic, and M. Stojcev, “Simultaneous data transfers over peripheral bus using CDMA technique,” in Proc. 26th Int.

Conf. Microelectron. (MIEL), May 2008, pp. 437–440.

17. T. Nikolic, M. Stojcev, and G. Djordjevic, “CDMA bus-based onchip interconnect infrastructure,” Microelectron. Rel., vol. 49, no. 4, pp.

448–459, Apr. 2009.

18. T. Nikoli´c, M. Stojˇcev, and Z. Stamenkovi´c, “Wrapper design for a CDMA bus in SOC,” in Proc. IEEE 13th Int. Symp. Design

Diagnostics Electron. Circuits Syst. (DDECS), Apr. 2010, pp. 243–248.

19. J. Kim, I. Verbauwhede, and M.-C. F. Chang, “Design of an interconnect architecture and signaling technology for parallelism in

communication,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 15, no. 8, pp. 881–894, Aug. 2007.

20. X. Wang, T. Ahonen, and J. Nurmi, “Applying CDMA technique to network-on-chip,” IEEE Trans. Very Large Scale Integr. (VLSI)

Syst., vol. 15, no. 10, pp. 1091–1100, Oct. 2007.

21. W. Lee and G. E. Sobelman, “Mesh-star hybrid NoC architecture with CDMA switch,” in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS),

May 2009, pp. 1349–1352.

22. Halak, T. Ma, and X. Wei, “A dynamic CDMA network for multicore systems,” Microelectron. J., vol. 45, no. 4, pp. 424–434, Apr.

2014.

31.

Authors: Nekkanti Haripavan, Nandyala Sivakishan

Paper Title: Identification of Development Dynamics in the Krishna Eastern Delta and Its Future Impacts on

Water Availability and Quality with Focus on Soil Productivity and Its Degradation

Abstract: Water is a precious resource for life to exist on planet Earth. Already the water demand exceeds

supply in many parts of the world. The water resources are finite and currently under tremendous pressure due to

vagaries of nature and population growth. The over-exploitation and mismanagement of this resource is exerting

detrimental impact both in the catchment and command areas. The Water Use in the Krishna District is likely to

increase at least by 50% due to rapid population growth, industrialization and agriculture in the next 20 years.

The current emphasis is more on economic development and not on environmental safety and sustainability.

Many river basins are becoming closed in South India, in which additional water is conserved at various

upstream points affects the people using the water at downstream side and brings in large conflicts between

upstream and downstream users. It is evident that the closure of Krishna basin and the resulting drastic shortfall

of irrigation water to the Krishna river delta and land use dynamics had their serious impacts on crop, land, soil

and environment on a decadal scale. We have already witnessed how the Kolleru fresh water lake ecosystem has

deteriorated in a short span of two to three decades. Mismanagement of water resources is causing salt water

intrusion in the coastal regions of maritime states. Ingress of sea water deep in to inland aquifers, soil salinity

due to use of chemical agricultural inputs and brackish water aquaculture are leading to land degradation. In this

view, timely and reliable data of the extent, spatial patterns, and nature temporal behaviour is a pre-requisite. In

the light of above, an updated digital spatial database of Krishna district has been generated on lithology,

structure, geomorphology and hydrology by adopting geospatial technologies coupled with traditional or

conventional data sets for identifying ground water potential zones in Krishna district. This paper aims at

highlighting some insights into the groundwater and surface water dynamics of the the Krishna Eastern Delta

and the Inter-deltaic plain of Kolleru Lake system.

Keywords: GIS, CRDA, NBSS

References: 1. Venot, Jean-Philippe & Sharma, Bharat & V. G. K. Rao, K. (2008). Krishna Basin Development. The Journal of

Environment & Development. 17. 269-291. 10.1177/1070496508320532.

2. Nageswara Rao, K & Vaidyanadhan, R. (2003). Geomorphic features of krishna delta and its evolution. 120-130. Journal

of Environment & Development

3. Reddy, K.M. & Shah, B.M.. (1991). Evolution of the Krishna Delta, Andhra Pradesh. 22. 57-64.

4. An assessment of groundwater resources and management by d.chandra shekaran, s.k.singh

176-178

32.

Authors: P. Pradeep, S. Harish, D. Ravikanth, Malathi Narra

Paper Title: Performance Based Congestion Control using Video Graphic Volume Count for an Uncontrolled

Intersections in Vijayawada City – A Case Study

Abstract: The rapid changing in environment of traffic has impacted and led to the problem of traffic

congestion. Vijayawada has been mentioned as a city that is developing rapidly which has caused changes in

social structure extensively. The expansion area of the city has been expanded fragmentally based on basic

infrastructure, the transportation infrastructure can’t support the growth of economy and rapid increase in

population. Due to traffic congestion many huge problems are occurring like wastage of time, accidents, wastage

of money, pollution etc. To overcome all these problems congestion control measures should be adopted and we

selected a corridor in Vijayawada city having uncontrolled intersections are evaluated using video graphic

technique.

Keywords: traffic, pollution, video graphic technique

References: 1. M. Vargas et al, Schultz, G.G., et al., How accurate are turning volume counts collected by video surveillance? In: The international

conference on transportation and development, Delhi, 2016.

2. Thanes Wassantachat et al., H.S.Mohan., 2014. Traffic measurements on multiple drive lanes with video graphic technique 14(2),

22891-22906.

3. Krause et al., guohuizhang et al., A summary of vehicle detection and surveillance technologies used in .Fedral highway

179-182

administration ,Washington

4. Gasser auda et al., Pritam, P.D., 2004 investigation of traffic detectors for use in Hawaii: detector installations and tests. Hawaii

department of transportation, Honolulu.

5. Text books: kadyali, khanna and papacostos

33.

Authors: P. Sai Mahesh Reddy, D.V. Siva Sankara Reddy, M. Jugal Kishore, K. Siva Kiran

Paper Title: Analyzing Strength Characteristics of Self Compacting Concrete by using Hair Fibre as a Partial

Replacement of Cement

Abstract: In a field of construction, eco-friendly, cost and time are the three key factors which every civil

engineer have to satisfies, For that purpose we use human hair which is going as a waste in our experimental

study and determining the positive effect in the properties of concrete as fibre reinforced concrete. Annually 40

tones of hair is available throughout the world causing problems in degradation, by using hair as a fragmentary

replacement of cement in concrete can reduce environmental problems. Though hair is a typical bio-degradable

matter available in abundance at cheaper cost so that we can also reduce some cement content and cost factor.

On the other hand a new technology named self-compacting concrete which is developed by the skilled work

man ship is used. Using SCC can shorten the time and decrease the cost of building process. SCC has good

elastic property in fresh state and have high resistance to segregation, it can spread under gravity due to its self

weight without any vibration or compaction. The incorporation of randomly distributed hair fibre in SCC

enhances its tensile property (i.e. human hair is strong in tension), and effective in delaying micro cracks and

also hope combination of these two made a new technology views saving environment and making a

construction with ease come reducing cost and saving the time of project. Experiments were conducted on

concrete cubes of standard sizes (0.15m3) with addition of different proportions of human hair fibres (i.e. 0%,

0.25%, 0.5%, 0.75%, and 1%) by weight of cement. In this work, fly ash is used as mineral admixture and PCE

based super plasticizer as chemical admixture for achieving fluidity nature. For each percentage of hair fibre

added in concrete, the 7 days, 14 days and 28 days compressive strength of cubes are obtained by crushing in

compression testing machine.

Keywords: Self compacting concrete; Fibre reinforced concrete; Human air fibre; Fly ash; Compression testing

References: 1. EFNARC, specifications and guidelines for self compacting concrete February (2001). 2. EFNARC, specifications and guidelines for self compacting concrete February (2002).

3. EFNARC, specifications and guidelines for self compacting concrete May (2005).

4. Okumura .H and Ozawa .K mix design for self compacting concrete, library of Japanese society of civil engineers, zone 25, 107-120(1995).

5. Guidelines for testing fresh self compaction concrete by G. De Schutter, September 2005.

6. Strength characteristics of self compacting concrete containing flyash by Prajapati Krishnapal, Yadav R.K and Chandak Rajeev,

Research journal of engineering sciences vol.2(6), 1-5, june (2013).

7. EN 12350 Test methods of self compacting concrete.

8. EN 14889 Fibres for self compacting concrete. 9. EN 12620 Aggregates for self compacting concrete.

10. EN 934-2 Admixtures for self compacting concrete.

11. EN 450 Flyash for self compacting concrete 12. Mechanical properties of self compacted fibre concrete mixes by Mounir M. Kamal, Mohamed A. Safan, Zeinab A. Etman, Bsma M.

Kasem, HBRC Journal (2014) 10, 25-34.

13. Study on strength characteristics of steel fibre and fly ash based scc by V. Angel Mary, A. Leema Rose, Volume 2 issue 2, 01 June 2014, ISSN: 2320-723X. International journal of advanced research in civil, structural, environmental, and infrastructure engineering

and development.

14. Self compaction concrete mix design and its comparison with conventional concrete by Rakesh kumar et al, J Civil, environmental engineering 2015, 5:3.

15. Krishna Murthy N, Narasimha Rao A. V, Ramana Reddy I. V, Vijaya Sekhar Reddy M, Mix design procedure for self compacting

concrete, IOSR Journal of Engineering, Volume 2, Issue 9, September 2012, PP 33-41. 16. Thomas .U and Ganiron.Jr, effect of human hair additives in compressive strength of asphalt cement mixtures , international journal of

advance science and technology , vol67 (2014), pp 11-22.

17. Nila V. M, Raijan K. J, Susmitha Antony, human hair as fibre reinforcement in concrete, international journal of current research Volume 7, issue 10 Oct 2015.

18. Yadollah Batebi, Alireza Mirzagoltabar, Syed Mostafa Shabanian and Sara Fatari, Experimental investigation of shrinkage of nano hair

reinforced concrete, Ironical journal of Energy and Environment 4(1), 2013. 19. Tomus U, Ganiron JR: Effect of human hair additives in compressive strength of asphalt cement mixture, Ironical journal of Energy

and Environment 4(1) , special issue on Nanotechnology: 68-72, 2013.

20. Jain D, Kotari A, Hair fibre reinforced concrete, Research journal of recent sciences Volume 1(ISC-2011), 128-133(2012). 21. Hamidullah Naik, Nissar Ahmad Naikon, Sahil Ayoub Dar, Mir Showket, Sheikh Abbas Muhamm, Use of horse hair as fibre

reinforcement in concrete, in the year 2015 on international journal of advanced research, ISSN: 1569-1572.

22. Shakeel Ahmad1, Farrukh Ghani2, J. Akhthar3, M. Hasan4 , Waste human hair as fibre reinforcement in concrete, in the year 2009 on innovation of structures in civil engineering.

23. T. Naveen kumar, Komershetty Goutami, Jinna Adithya, Kuppala Kavya, V. Raja Mahendar, Dr. R. C Reddy, Shweta Kaushik, An

experimental study on mechanical properties of human hair reinforced concrete, in the year 2015 on IOSR Journal of Civil Engineering, e-ISSN: 2278-1684, p-ISSN: 2320-334X.

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34.

Authors: J. Maha Kavya Sri, Narendra VG, VidyaPai

Paper Title: Implementing and Testing of IoT Technology in Agriculture

Abstract: Agriculture involves various physical quantities that need to be monitored and controlled. IoT have

several capabilities which are suitable for implementing Precise Agriculture. IoT architecture involves sensors,

nodes and computing which can be edge, fog and cloud computing. In IoT there has been a need of

communication between nodes, nodes and gateway and gateways to cloud. Different protocols are used at

different layers of IoT architecture for communication. Those must be analysed for selecting appropriate

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protocol for an application. As IoT uses low power devices resources must be utilized properly. There has been a

need of low bandwidth, low power communication protocols both in application and network layers to support

heavy traffic in power constrained devices. In this paper detailed comparison is made between application layer

protocols used in IoT namely MQTT and HTTP for their suitability in IoT applications.

Keywords: IOT, HTTP, MQTT.

References: 1. Ferrández-Pastor, F.J., García-Chamizo, J.M., Nieto-Hidalgo, M. and Mora-Martínez, J., 2018. Precision Agriculture Design Method

Using a Distributed Computing Architecture on Internet of Things Context. Sensors, 18(6), p.1731. 2. Zhao, J.C., Zhang, J.F., Feng, Y. and Guo, J.X., 2010, July. The study and application of the IOT technology in agriculture.

In Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on (Vol. 2, pp. 462-465). IEEE.

3. Zhang, W., 2011, September. Study about IOT's application in" Digital Agriculture" construction. In Electrical and Control Engineering (ICECE), 2011 International Conference on (pp. 2578-2581). IEEE.

4. Zhou, H., Liu, B. and Dong, P., 2011, October. The technology system framework of the internet of things and its application research

in agriculture. In International Conference on Computer and Computing Technologies in Agriculture (pp. 293-300). Springer, Berlin, Heidelberg.

5. Li, C., Guo, Y. and Zhou, J., 2014. Study and design of the agricultural informationization model based on internet of things. J.

Chemical and Pharmaceutical Research, 6(6), pp.1625-1630. 6. Gayatri, M.K., Jayasakthi, J. and Mala, G.A., 2015, July. Providing Smart Agricultural solutions to farmers for better yielding using

IoT. In Technological Innovation in ICT for Agriculture and Rural Development (TIAR), 2015 IEEE (pp. 40-43). IEEE.

7. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M. and Ayyash, M., 2015. Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), pp.2347-2376.

8. Guo, T. and Zhong, W., 2015, August. Design and implementation of the span greenhouse agriculture Internet of Things system.

In Fluid Power and Mechatronics (FPM), 2015 International Conference on (pp. 398-401). IEEE. 9. Khattab, A., Abdelgawad, A. and Yelmarthi, K., 2016, December. Design and implementation of a cloud-based IoT scheme for

precision agriculture. In Microelectronics (ICM), 2016 28th International Conference on (pp. 201-204). IEEE.

10. Baranwal, T. and Pateriya, P.K., 2016, January. Development of IoT based smart security and monitoring devices for agriculture. In Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference (pp. 597-602). IEEE

11. Thota, P. and Kim, Y., 2016, December. Implementation and Comparison of M2M protocols for Internet of Things. In Applied

Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD), 2016 4th Intl Conf on(pp. 43-48). IEEE.

12. Dhar, P. and Gupta, P., 2016, September. Intelligent parking Cloud services based on IoT using MQTT protocol. In Automatic Control

and Dynamic Optimization Techniques (ICACDOT), International Conference on (pp. 30-34). IEEE. 13. Hou, L., Zhao, S., Xiong, X., Zheng, K., Chatzimisios, P., Hossain, M.S. and Xiang, W., 2016. Internet of things cloud: architecture

and implementation. IEEE Communications Magazine, 54(12), pp.32-39.

14. Kang, Y.S., Park, I.H., Rhee, J. and Lee, Y.H., 2016. MongoDB-based repository design for IoT-generated RFID/sensor big data. IEEE Sensors Journal, 16(2), pp.485-497.

15. Bing, F., 2016, October. The research of IoT of agriculture based on three layers architecture. In Cloud Computing and Internet of

Things (CCIOT), 2016 2nd International Conference on (pp. 162-165). IEEE. 16. Patil, K.A. and Kale, N.R., 2016, December. A model for smart agriculture using IoT. In Global Trends in Signal Processing,

Information Computing and Communication (ICGTSPICC), 2016 International Conference on (pp. 543-545). IEEE.

17. Sharma, P. and Padole, D.V., 2017, March. Design and implementation soil analyser using IoT. In 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) (pp. 1-5). IEEE.

18. Ciuffoletti, A., 2017. OCCI-IOT: an API to deploy and operate an IoT infrastructure. IEEE Internet of Things Journal, 4(5), pp.1341-

1348. 19. Mois, G., Folea, S. and Sanislav, T., 2017. Analysis of three IoT-based wireless sensors for environmental monitoring. IEEE

Transactions on Instrumentation and Measurement, 66(8), pp.2056-2064.

20. Xu, Y., Mahendran, V., Guo, W. and Radhakrishnan, S., 2017, January. Fairness in fog networks: Achieving fair throughput performance in MQTT-based IoTs. In Consumer Communications & Networking Conference (CCNC), 2017 14th IEEE Annual (pp.

191-196). IEEE. 21. Pallavi, S., Mallapur, J.D. and Bendigeri, K.Y., 2017, December. Remote sensing and controlling of greenhouse agriculture parameters

based on IoT. In 2017 International Conference on Big Data, IoT and Data Science (BID) (pp. 44-48). IEEE.

22. Pandithurai, O., Aishwarya, S., Aparna, B. and Kavitha, K., 2017, March. Agro-tech: A digital model for monitoring soil and crops using internet of things (IOT). In Science Technology Engineering & Management (ICONSTEM), 2017 Third International Conference

on (pp. 342-346). IEEE.

23. Naik, N., 2017, October. Choice of effective messaging protocols for IoT systems: MQTT, CoAP, AMQP and HTTP. In Systems Engineering Symposium (ISSE), 2017 IEEE International (pp. 1-7). IEEE.

24. Heble, S., Kumar, A., Prasad, K.V.D., Samirana, S., Rajalakshmi, P. and Desai, U.B., 2018, February. A low power IoT network for

smart agriculture. In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT) (pp. 609-614). IEEE.

25. Matabuena, D., Bellido-Outeirino, F.J., Moreno-Munoz, A., Gil-de-Castro, A. and Flores-Arias, J.M., 2018, June. Educational platform

for communications using the MQTT protocol. In 2018 XIII Technologies Applied to Electronics Teaching Conference (TAEE) (pp. 1-

6). IEEE. 26. Roy, T.K. and Roy, T.K., 2018, February. Implementation of IoT: Smart Maintenance for Distribution Transformer using MQTT.

In 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2) (pp. 1-4).

IEEE. 27. Davcev, D., Mitreski, K., Trajkovic, S., Nikolovski, V. and Koteli, N., 2018, June. IoT agriculture system based on LoRaWAN.

In 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS) (pp. 1-4). IEEE.

35.

Authors: Amjan Shaik, B. Madhurima, M. Neelakantappa

Paper Title: An Approach to Zero Knowledge Proof for Secure Data Sharing in Cloud Storage: New Direction

Abstract: Now a days, Cloud computing (CC) is seriously growing because of it’s strengths like elastic,

flexible, on-demand storage and fast computing services for users. In cloud based storage concept, data owner

does not have full control over own data because data controlled by the third party called cloud service providers

(CSP). The most challenging issue in data security arises when the owner of the data shares to other through

cloud. This issue is very common as data is shared in the cloud computing environment. This issue is addressed

by few researchers through encryption techniques of cryptography to provide secure data-sharing on the cloud.

In this paper, we propose a model to provide security of shared data on cloud in terms of access control and data

confidentiality. This system eliminates the need of key management and file encryptions and descriptions by the

users. It also supports dynamic changes of user permissions (Read,Write), there by removes the need of owner

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to be always online during user accessing of data from cloud. In this system, we extended the notion of zero-

knowledge proofs of the membership (that reveals 1 bit of information) to zero-knowledge proofs of the

knowledge(that reveals no information at all). The common weakness of conventional communication protocols

is they are vulnerable to the impersonation attacks. Each time this type of protocol is executed, the system

degrades due to the threat of an eavas-dropper listening the communication. The main objective of this designed

system is that it makes possible for a prover for convincing a verifier of his knowledge of a certain secret

without revealing any information apart from validity of his claim.

Keywords: Cloud computing, cloud storage, Data security, cloud service provider, secure sharing,

cryptography.

References: 1. S. Halevi, D. Harnik, B. Pinkas, and A. Shulman-Peleg.Proofs of ownership in remote storage systems. In Y. Chen, G. Danezis, and

V. Shmatikov, editors, ACM Conference on Computer and Communications Security, pages 491–500. ACM, 2011.

2. R. D. Pietro and A. Sorniotti. Boosting efficiency and security in proof of ownership for deduplication. In H. Y. Youm and Y. Won, editors, ACM Symposium on Information, Computer and Communications Security, pages 81–82. ACM, 2012.

3. W. K. Ng, Y. Wen, and H. Zhu. Private data deduplication protocols in cloud storage. In S. Ossowski and P. Lecca, editors,

Proceedings of the 27th Annual ACM Symposium on Applied Computing, pages 441–446. ACM, 2012. 4. Fiat, A. and A. Shamir, “HOW To Prove Yourself:Practical Solutions to Identification and Signature Problems”, Proceedings of

CRYPT0 1986.

5. S. Seo, M. Nabeel, X. Ding, and E. Bertino, “An Efficient Certificateless Encryption for Secure Data Sharing in Public Clouds,” IEEE Trans.Knowl. Data Eng., vol. 26, no. 9, pp. 2107–2119, Sep. 2013.

6. Y. Chen and W. Tzeng, “Efficient and provably-secure group key management scheme using key derivation,” in Proc. IEEE 11th Int.

Conf. TrustCom, 2012, pp. 295–302. 7. Y. Chen, J. D. Tygar, and W. Tzeng, “Secure group key management using uni-directional proxy re-encryption schemes,” in Proc.

IEEE INFOCOM, pp. 1952–1960.

8. S. Goldwasser, S. Micali, C. Rckoff, "The Knowledge Complexity of Interactive Proof Systems", SIAM Journal of Computing, vol. 18, pp. 186-208, 1989.

9. "GoldreichMicali and WigdersonProofs that Yield Nothing But their Validity or All Languages in NP have Zero-Knowledge Proof",

JACM, July 1991. 10. Mazhar Ali, Athanasios and Revathi.Dhamotharan “SeDaSC:Secure data sharing in clouds”, IEEE Systems,pp:1-10, 2015

36.

Authors: T. Prasad P. Chinna Srinivasa Rao , B. Vijay Kiran

Paper Title: Study on Mechanical Behaviour of Hybrid Composites

Abstract: Composite containing more than one type of fiber is known as hybrid composites. Natural fibers and

artificial fibers can be used for fabrication of Hybrid composites. Hybrid composites will give mechanical

properties than fiber reinforced composites. The element of fibers in Hybrid composite, the elements of fibers

can be changed in different ways leading to variation in its properties. For preparing the hybrid composites using

different fibres reinforced with matrix. Hybrid composite has wider applications across industries such as

aerospace, automobiles, Marine etc. In this paper, fabrication of hybrid composites is done manually using hand

layup method. It is then subjected to a compressive load for thorough distribution of resin in respective lamina.

The fabricated composite is tested for its flexural and tensile properties. The result obtained are further analyzed

for the study of the material fabricated.

Keywords: Hybrid composites, Natural fibers, fabrication, Tensile, Flexural

References: 1. Balram gupta, “ Aerospace Materials “ Vol.1 to 5 , S Chand and company.

2. “ Analysis and performance of fiber composites “. Agarwal BD and Boutman LJ, John Wiley and sons.

3. “ Mechanics of composite materials”. Jones RM, Mcgraw Hill. 4. 4.Greenhalgh RJS, Baynham E, Evans Dm Canfer S, Roberton S, Morrow D, Temple S. “ Strength of epoxy-resin-based insulation

systems in transvers tension and shear uingin two novwl test pieces”. International Journal of Adhesion & Adhesives 2003:23(6):485-

494. 5. Peter Ifju P, Myers D, Schulz W. Residual stress and thermal expansion of graphite epoxy laminates subjected to cryogenic

temperature. Composites Science and Technology 2006;66(14):2449-2455.

6. Saniee FF, Majzoobi GH, Bahrani M. “ An experimental study on the behavior of glass-epoxy composite at low strain rates” .Journal

of Material Processing Technology 2005;162-163(1):39-45.

7. Ray BC. “Thermal shock and thermal fatigue on delamination of glass fiber reinforced polymetric composites. Journal of Reinforced

Plastics and Composites 2005;24(1):39-45. 8. Cindy Foreman, “Advanced composites”.

9. Lubin G, “ Hand book of advanced plastics and fiber glass”. “Advanced composite materials”, Lalit Gupta.

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37.

Authors: P R Anisha, B Vijaya Babu

Paper Title: EBPS: Effective Method for Early Breast Cancer Prediction using Wisconsin Breast Cancer Dataset

Abstract: Machine considering is a branch of computerized reasoning that contain a dissemination of factual,

probabilistic and enhancement systems that enable PCs to "examine" from past illustrations and to run over hard

to recognized examples from vast , loud or muddled data units. These abilities are exceptionally pleasantly

alluring to logical bundles, principally those that rely on confounded proteomic and genomic estimations. In this

paper, we dissected the bosom Cancer actualities to be had from the Wisconsin dataset from UCI gadget learning

with the reason for creating exact expectation rendition for bosom growth and proposed Effective Breast Cancer

Prediction System. The proposed variant is in examination with introducing approaches in expressions of

exactness, specificity and missteps cost.

Keywords: These abilities are exceptionally pleasantly alluring to logical bundles

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References: 1. Ahmad LG, Eshlaghy AT, Poorebrahimi A, Ebrahimi M and Razavi AR, “Using Three Machine Learning Techniques for Predicting

Breast Cancer Recurrence”, Journal of Health & Medical Informatics, 2013.

2. Mohammad R. Mohebian, Hamid R. Marateb, Marjan Mansourian, Miguel Angel Mañanas, and Fariborz Mokarian, “A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) Using Optimized Ensemble Learning, Journal

of Computational and Structural Bio-Technology Elsevier”, 2016.

3. Siddhant Kulkarni and Mangesh Bhagwat, “Predicting Breast Cancer Recurrence using Data Mining Techniques”, International Journal of Computer Applications, 2015.

4. Afzan Adam, Khairuddin Omar, “Computerized Breast Cancer Diagnosis with Genetic Algorithms and Neural Network” ”-

fitt.mmu.edu.my/caiic/papers/afzaniCAIET.pdf. 5. Kim W, Kim KS, Lee JE, Noh D-Y, Kim S-W, Jung YS, et al. Development of novel breast cancer recurrence prediction model using

support vector machine. J Breast Cancer 2012;15:230–8

6. Park C, Ahn J, Kim H, Park S (2014) Integrative Gene Network Construction to Analyze Cancer Recurrence Using Semi-Supervised Learning. PLoS ONE 9(1): e86309. https://doi.org/10.1371/journal.pone.0086309.

7. Tseng C-J, Lu C-J, Chang C-C, Chen G-D. Application of machine learning to predict the recurrence-proneness for cervical cancer.

Neural Computer & Application 2014;24: 1311–6. 8. Dr.C.P.Sumathi, Dr.T.Santhanam, A.Punitha “Combination of genetic algorithm and ART neural network for breast cancer diagnosis”,

2007 -- Asian Journal of information technology, Medwell journals.

9. Dr.Santhosh baboo, S.Sasikala “A Survey on data mining techniques in gene selection and cancer classification”-April 2010 International journal of Computer science and information technology.

10. Val´erie Bourd`es, St´ephane Bonnevay, Paolo Lisboa, R´emy Defrance, David P´erol, Sylvie Chabaud, Thomas Bachelot, Th´er`ese

Gargi and Sylvie Negrier “Comparison of Artificial Neural Network with Logistic regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient outcomes”.

11. A. MADABHUSHI, D. METAXAS., (2003). “Combining low-, high-level and Empirical Domain Knowledge for Automated

Segmentation of Ultrasonic Breast Lesions”. IEEE Transactions Medical Imaging, Vol. 22, No. 2, 2003, pp: 155–169. 12. Hamid Karim Khani Zand “a comparative survey on data mining techniques for breast cancer diagnosis and prediction” Indian Journal

of Fundamental and Applied Life Sciences, Vol.5 (S1), pp. 4330-4339, 2015. 13. Vikas Chaurasia , Saurabh Pal “Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability” International Journal of

Computer Science and Mobile Computing, Vol.3 Issue.1, January-2014, pg. 10-22.

14. Abdelghani Bellaachia, Erhan Guven, “Predicting Breast Cancer Survivability Using Data Mining Techniques”, http://ieeexplore.ieee.org/document/5608818/.

15. Rui Xu, Xindi Cai, Donald C. , Wunsch II. Gene Expression Data for DLBCL Cancer Survival Prediction with A Combination of

Machine Learning Technologies; In Proceedings of the IEEE International Conference on Medicine and Biology, 2005, p. 894-897. 16. Hong-Hee Won, Sung-Bae Cho. Paired neural network with negatively correlated features for cancer classification in DNA gene

expression profiles; In Proceedings of the International Joint Conference on Neural Networks; 3; 2003; p. 1708 – 1713.

17. David B.Fogel, Eugene C, Wasson, Edward M.Boughton “Evolving neural networks for detecting breast cancer”. 1995 Elsevier Science Ireland Ltd.

18. Wiselin Jiji,J. R. Marsilin, “Diagnose the Stages of Breast Cancer using SVM”, International Journal of Computer Applications (0975

– 8887) Volume 38– No.11, January 2012. 19. https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original).

20. J. Han: Data Mining: Concepts and Techniques”, Morgan Kaufmann Publishers, 2011.

21. Arun k pujari: Data Mining Techniques”, Universities Press 2004. 22. Hastie TJ, Tibshirani, RJ, Friedman JH, “The Elements of Statistical Learning: Data Mining, Inference and Prediction”, Second

Edition, Springer; 2009.

23. John D. Kelleher, Brian Mac Namee, Aoife D'Arcy, “Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms,

Worked Examples, and Case Studies”, The MIT Press, 2015.

38.

Authors: G. Balram , D. Gurvinder Singh

Paper Title: IoT-Health Check-Up using Arduino Microcontroller

Abstract: Health, an important biological system for the human where the sickness rises or fall according to

the immune system are clubbed with the technologies of IoT to form a scenario of Health Monitoring. Though

they're meant to assist folks, the response and attitude to apply such new gadgets by methods for the oldsters can

be amazing, especially among the more established. A fall event is one in all the most factors that impact the

physical buddy degreed mental wellness of a more seasoned character. mishaps related with falls include

physical harms like coronary heart attacks, bone breaks, and general creature tissue sores. A fall has furthermore

sensational mental impacts since it fundamentally lessens the sureness and autonomy of influenced people.

valuable asset time exploitation wi-fi sensors has achieved a high level of development and responsibleness and

thus those gadgets are as of now being conveyed in homes/nursing homes to be utilized for managing people's

wellbeing. in this task, friend certificate expanded fall location contraption is anticipated more seasoned

individual comment that is upheld down to earth sensors worn at the body and in activity through customer

home systems.The sensible devices contain the temperature sensor, blood pressure, and heartbeat device, these

device values are measured by a microcontroller unit (MCU) and it transmits to the computer through the cloud

(Wi-Fi). It’ll receive the device values and store into the info base. If any device price exceeds the limit it'll

indicate the corresponding person.

Keywords: Arduino, health observance, IOT.

References: 1. UN, “World Population Aging 2013,” 2013, pp. 8–10.

2. R. Weinstein, “RFID: A technical overview and its application to the enterprise,” IEEE IT Prof., vol. 7, no. 3, pp. 27–

33, May/Jun. 2005.

3. P. Gope, T. Hwang, “Untraceable Sensor Movement in Distributed IoT Infrastructure,” IEEE Sensors Journal, Vol. 15

(9), pp. 5340 – 5348, 2015.

4. P. Gope, T. Hwang, “A Realistic Lightweight Authentication Protocol Preserving Strong Anonymity for Securing RFID

System,” Computers & Security (Elsevier Journal), Vol. 55, pp. 271–280, 2015.

5. P. Kumar,and H. Lee, “Security Issues in Healthcare Applications Using Wireless Medical Sensor Networks: A

Survey.” Sensors (Basel, Switzerland) 12.1 (2012): pp. 55–91.

6. D. Malan, T. F. Jones, M. Welsh,S. Moulton, "CodeBlue: An Ad- Hoc Sensor Network Infrastructure for Emergency

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Medical Care," Proceedings of the MobiSys 2004 Workshop on Applications of Mobile Embedded Systems (WAMES

2004); Boston, MA, USA. 6–9 June 2004.

7. K. Lorincz, D. J. Malan, T. R. F. Fulford-Jones, A. Nawoj, A. Clavel, V. Shayder, G. Mainland, M. Welsh, "Sensor

Networks for Emergency Response: Challenges and Opportunities", Pervas. Comput.vol.3, pp.16–23, 2004.

39.

Authors: K.Vinay kumar

Paper Title: High Efficient Three Phase Harmonics Elimination System for Induction Motor

Abstract: Symphonious relief may be a key issue in mechanical and conjointly business drive applications.

The wide utilization of non-direct hundreds causes vital power quality debasement up to the mark dissemination

systems. The planned strategy is made to agitate sounds in grid connected (GC) mode, and within the islanded or

freelance (SA) methodology of task, wherever the elemental target is to expel the harmonic from the framework

current and also the point of common coupling (PCC) voltage. The arranged position of the agreeable decline

unit deals with the work of a novel controller structure that utilizes the sounds measure inside the d-q reference

outline. Inside the arranged administration figuring, the predetermined live of change for consonant is made

plans to fulfill the blend amicable curving. a total amusement indicate is made with a chose complete objective

to watch the execution of the arranged consonant compensator. The arranged methodology is also existent by

interfacing acceptance machine to the yield and execution of the engine is analyzed using Matlab/Simulink

programming.

Keywords: Total harmonic Distortion, Point of Common Coupling, Induction Motor Drive, Grid Connected

Mod

References: 1. V S Prasadarao K, Malligunta Kiran Kumar, “Simulation of a novel multilevel inverter topology forinduction motor drive

applications,” Journal of Electrical Engineering.

2. Hashem OraeeMirzamani, Azim LotfjouChoobari, “Study of Harmonics Effects on Performance of InductionMotors”. 3. S. H. Hosseini, T. Nouri, and M. Sabahi, “A novel hybrid active filter forpower quality improvement and neutral current cancellation,”

in Proc. Int.Conf. Electr. Electron. Eng., 2009, pp. 244–248.

4. F. Briz, P. Garcia, M. W. Degner, D. Diaz-Reigosa, and J. M. Guerrero,“Dynamic behavior of current controllers for selective harmonic compensation in three-phase active power filters,” IEEE Trans. Ind. Appl., vol. 49,no. 3, pp. 1411–1420, May/Jun. 2013.

5. P. Salmeron and S. P. Litran, “Improvement of the electric power qualityusing series active and shunt passive filters,” IEEE Trans.

Power Del.,vol. 25, no. 2, pp. 1058–1067, Apr. 2010. 6. B. Badrzadeh, K. S. Smith, and R. C. Wilson, “Designing passive harmonic filters for an aluminum smelting plant,” IEEE Trans. Ind.

Appl.,vol. 47, no. 2, pp. 973–983, Mar./Apr. 2011.

7. A. Terciyanli et al., “A current source converter-based active power filterfor mitigation of harmonics at the interface of distribution and transmission systems,” IEEE Trans. Ind. Appl., vol. 48, no. 4, pp. 1374–1386,Jul./Aug. 2012.

8. A. D. le Roux, H. Mouton, and H. Akagi, “DFT-based repetitive controlof a series active filter integrated with a 12-pulse diode

rectifier,” IEEETrans. Power Electron., vol. 24, no. 6, pp. 1515–1521, Jun. 2009. 9. D. Sharon et al., “Power quality factor for networks supplying unbalancednonlinear loads,” IEEE Trans. Instrum. Meas., vol. 57, no. 6,

pp. 523–527,Jun. 2008.

10. A. Varschavsky, J. Dixon, M. Rotella, and L. Morán, “Cascaded nine-levelinverter for hybrid-series active power filter, using industrial controller,”IEEE Trans. Ind. Electron., vol. 57, no. 8, pp. 2761–2767, Aug. 2010.

11. F. Filho, L. M. Tolbert, Y. Cao, and B. Ozpineci, “Real-time selectiveharmonic minimization for multilevel inverters connected to

solar panelsusing artificial neural network angle generation,” IEEE Trans. Ind. Appl.,vol. 47, no. 5, pp. 2117–2124, Sep./Apr. 2011. 12. O. S. Senturk and A. M. Hava, “Performance enhancement of the singlephase series active filter by employing the load voltage

waveform reconstruction and line current sampling delay reduction methods,” IEEETrans. Power Electron., vol. 26, no. 8, pp. 2210–

2220, Aug. 2011.

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40.

Authors: Moinuddin K Syed. K. Raghuveer

Paper Title: A Novel Research on Improving the Overall Efficiency Among Hard Switching and Soft Switching

Circuits using Optimization Techniques

Abstract: In recent years, Photovoltaic (PV) renewable energies are considered as an essential source of

non-polluting and cost-free energy. be that as it may, the execution of the predominant enhance converter is

diminished because of hard and smooth exchanging which makes misfortunes while the switches are moved

toward becoming ON/OFF. so as to beat those inconveniences, this paper proposed novel investigations for

boosting the effectiveness of delicate exchanging enhance converter the use of advancement method. in this, the

delicate exchanging raise converter with R-load and RL-stack are propelled the utilization of a Simple Auxiliary

Resonant Circuit (SARC) which includes the switch, diode, capacitor, and inductor. This circuit is used to

operate the main switch with Zero Voltage Switching (ZVS) and Zero Current Switching (ZCS). In addition, Cat

Swarm Optimization (CSO) algorithm is used to improve the performance of PI controller by upgrading the

controller gain. The exam and approval of the proposed delicate changing help converter making use of CSO

calculation were reenacted in MATLAB Simulink programming. The endeavor results reveal that the sensitive

changing assist converter utilising R-stack accomplishes faded variances and replacing misfortunes than utilising

RL-stack. also, the outcomes exhibit that the talent of the proposed delicate replacing assist converter is

upgraded with the aid of approximately 4.five% utilizing cat swarm optimization (CSO) than the hard switching

boost converter.

Keywords: Photovoltaic (PV) cell; Soft switching boost converter; hard switching boot converter; Cat Swarm

Optimization (CSO); Simple Auxiliary Resonant Circuit (SARC).

References: 1. Park, S. H., Cha, G. R., Jung, Y. C., & Won, C. Y. (2010). Design and application for PV generation system using a soft-switching boost

converter with SARC. IEEE Transactions on Industrial Electronics, 57(2), 515-522.

2. Kaviani-Arani, A., & Gheiratmand, A. (2015). Soft Switching Boost Converter Solution for Increase the Efficiency of Solar Energy

224-232

Systems. Indonesian Journal of Electrical Engineering and Computer Science, 13(3), 449-457.

3. Gules, R., Pacheco, J. D. P., Hey, H. L., & Imhoff, J. (2008). A maximum power point tracking system with parallel connection for PV

stand-alone applications. IEEE Transactions on Industrial Electronics, 55(7), 2674-2683. 4. Liu, F., Duan, S., Liu, F., Liu, B., & Kang, Y. (2008). A variable step size INC MPPT method for PV systems. IEEE Transactions on

industrial electronics, 55(7), 2622-2628.

5. Das, P., & Moschopoulos, G. (2007). A comparative study of zero-current-transition PWM converters. IEEE Transactions on Industrial

Electronics, 54(3), 1319-1328.

6. Park, S. H., Park, S. R., Yu, J. S., Jung, Y. C., & Won, C. Y. (2010). Analysis and design of a soft-switching boost converter with an HI-

bridge auxiliary resonant circuit. IEEE Transactions on Power electronics, 25(8), 2142-2149. 7. Song, I. B., Jung, D. Y., Ji, Y. H., Choi, S. C., Jung, Y. C., & Won, C. Y. (2011, May). A soft switching boost converter using an

auxiliary resonant circuit for a PV system. In Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International

Conference on (pp. 2838-2843). IEEE. 8. Bodur, H., & Bakan, A. F. (2002). A new zvt-pwm dc-dc converter. IEEE transactions on power electronics, 17(1), 40-47.

9. Bodur, H., & Bakan, A. F. (2004). A new zvt-zct-pwm dc-dc converter. IEEE transactions on power electronics, 19(3), 676-684.

10. Jain, N., Jain, P. K., & Joós, G. (2004). A zero voltage transition boost converter employing a soft switching auxiliary circuit with reduced conduction losses. IEEE Transactions on Power Electronics, 19(1), 130-139.

11. Aksoy, I., Bodur, H., & Bakan, A. F. (2010). A new ZVT-ZCT-PWM dc–dc converter. IEEE transactions on power electronics, 25(8),

2093-2105. 12. Jung, D. Y., Ji, Y. H., Kim, J. H., Won, C. Y., & Jung, Y. C. (2008, September). Soft switching boost converter for photovoltaic power

generation system. In Power Electronics and Motion Control Conference, 2008. EPE-PEMC 2008. 13th (pp. 1929-1933). IEEE.

13. Chuang, Y. C., & Ke, Y. L. (2008). High-efficiency and low-stress ZVT–PWM DC-to-DC converter for battery charger. IEEE Transactions on Industrial Electronics, 55(8), 3030-3037.

14. Cacciato, M., Consoli, A., Attanasio, R., & Gennaro, F. (2010). Soft-switching converter with HF transformer for grid-connected

photovoltaic systems. IEEE Transactions on Industrial Electronics, 57(5), 1678-1686. 15. Cha, G. R., Park, S. H., Won, C. Y., Jung, Y. C., & Song, S. H. (2008, September). High efficiency soft switching boost converter for

photovoltaic system. In Power Electronics and Motion Control Conference, 2008. EPE-PEMC 2008. 13th (pp. 383-387). IEEE.

16. Jung, D. Y., Ji, Y. H., Park, S. H., Jung, Y. C., & Won, C. Y. (2011). Interleaved soft-switching boost converter for photovoltaic power-generation system. IEEE transactions on power electronics, 26(4), 1137-1145.

17. Li, W., Xiang, X., Li, C., Li, W., & He, X. (2013). Interleaved high step-up ZVT converter with built-in transformer voltage doubler cell

for distributed PV generation system. IEEE Transactions on Power Electronics, 28(1), 300-313. 18. Al-Saffar, M. A., Ismail, E. H., & Sabzali, A. J. (2013). Family of ZC-ZVS converters with wide voltage range for renewable energy

systems. Renewable energy, 56, 32-43.

19. Kavitha, S., Rajan, S. E., & Vengatesh, R. P. (2014, March). Performance analysis of interleaved DC-DC boost converter for Photo-Voltaic power generation systems. In Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International

Conference on (pp. 1-6). IEEE.

20. Elanchezhian, P. (2012). Soft-switching boost converter for Photovoltaic power-generation system with pso based Mppt. International Journal of Communications and Engineering, 6(March (01)).

21. Fathabadi, H. (2016). Novel high efficiency DC/DC boost converter for using in photovoltaic systems. Solar Energy, 125, 22-31.

22. Das, M., & Agarwal, V. (2016). Design and analysis of a high-efficiency DC–DC converter with soft switching capability for renewable energy applications requiring high voltage gain. IEEE Transactions on Industrial Electronics, 63(5), 2936-2944.

23. Pradeepa, K., Krishnan, S., Dharshinii, M. D., & Akshaya, S. R. (2017, February). Implementation of interleaved soft switching boost

converter and H-bridge inverter for solar pv power generation system to attain maximum output voltage and reduced harmonics. In Information Communication and Embedded Systems (ICICES), 2017 International Conference on (pp. 1-6). IEEE.

24. Gules, R., Pacheco, J. D. P., Hey, H. L., & Imhoff, J. (2008). A maximum power point tracking system with parallel connection for PV

stand-alone applications. IEEE Transactions on Industrial Electronics, 55(7), 2674-2683. 25. Chu, S. C., Tsai, P. W., & Pan, J. S. (2006, August). Cat swarm optimization. In Pacific Rim International Conference on Artificial

Intelligence (pp. 854-858). Springer, Berlin, Heidelberg.

26. Panda, G., Pradhan, P. M., & Majhi, B. (2011). IIR system identification using cat swarm optimization. Expert Systems with Applications, 38(10), 12671-12683.

27. Bahrami, M., Bozorg-Haddad, O., & Chu, X. (2017). Cat Swarm Optimization (CSO) Algorithm. In Advanced Optimization by Nature-

Inspired Algorithms (pp. 9-18). Springer, Singapore.

41.

Authors: J. Shiva Prashanth, Shaik. Gousiya Begum

Paper Title: Congestion Control in Spatial Networks During Disasters

Abstract: Extensive quantities of algorithms have been proposed to solve shortest path inquiry issues for

static or time dependent spatial networks; be that as it may, these algorithms don't perform well to discover the

nearest shelter with fastest paths in a disaster circumstances. In a disasters, path figured through existing

algorithms and saved as the fastest may end up harmed. ONSC approach provides optimal path in a disaster

circumstance however doesn’t manage with congestion control. To tackle this issue, this paper proposes a

strategy to diminish the travelling time with an existing dynamic network :display, which is called an Event

dependent network, to represent a spatial network in a disaster which assist the general population with choose

the optimal path by giving weight-factor(in percentage) of the congestion in the road network.

Keywords: Congestion control, Event dependent network, Path planning and Disaster management.

References: 1. Dumitrescu and N. Boland, “Improved preprocessing, labeling and scaling algorithms for the weight constrained shortest path

problem,” Networks, vol. 42, no. 3, pp. 135–153, Oct. 2003. 2. A. Efentakis, D. Pfoser, and Y. Vassiliou, “SALT. A Unified Framework for All Shortest-Path Query Variants on Road Networks,”

arXiv preprint, arXiv:1411.0257, 2014.

3. M.Thorup,“Undirected single-source shortest paths with positive integer weights in linear time,” J. ACM, vol. 46, no. 3, pp. 362–394, May 1999.

4. L.Zhao and M. Gao, “Node early-fixing: A practical speedup technique for A∗ algorithms,” J. Math., Statist. Oper. Res., vol. 2, no. 1,

pp. 98– 102, May 2013.

5. R.Bauer et al.,“Combining hierarchical and goal-directed speed-up techniques for Dijkstra algorithm,” in Proc. Int. WEA, 2008, vol. 5038, pp. 303–318, ser. LNCS.

6. ei-Hsuan Tsai, Chun-Lung Lin, and Jyun-Nan Liu, “On-the-Fly Nearest-Shelter Computation in Event-Dependent Spatial Networks in

Disasters.” vol. 65, no. 3, pp.1109-1115,March 2016.

7. Z.Yang and M. Yuan, “Route selection model in emergency evacuation based on quasi-user optimum dynamic traffic assignment,” in

Proc. Int. Conf. Intell. Comput. Technol. Autom., 2010, vol. 3, pp. 240–243.

8. S.Chechik, “Approximate distance oracle with constant query time,” in Proc. 46th Annu. ACM Symp. Theory Comput., 2014, pp. 654–

233-239

663.

9. U.Karisruhe and C. Zaroliagis, “Geometric containers for efficient shortest-path computation,” J. Exp. Algorithmics, vol. 10, no. 1.3,

pp. 1–30, 2005. 10. K.Seongmoon, M. E. Lewis, and C. C. White III, ”Optimal vehicle routing with real-time traffic information,” IEEE Trans. on Intell.

Transp. Syst., vol. 6, no. 2, pp. 178-188, 2005.

11. H.Jeung, et al. ”Path prediction and predictive range querying in road network databases,” The VLDB Journal, pp. 585-602, 2010.

12. C.Greulich, et al. ”Enhanced Shortest Path Computation for Multiagentbased Intermodal Transport Planning in Dynamic

Environments,” ICAART (2), 2013.

13. S.Li and H. Peng, ”Optimal Strategies to Minimize Fuel Consumption of Passenger Cars during Car-Following Scenarios,” Journal of Automobile Engineering, vol. 226, no. 3, pp. 419-429, 2012.

14. S.E.Dreyfus, ”An appraisal of some shortest path algorithms,” Operations research, vol. 17, no.3, pp. 395-412, 1969.

15. C.Sommer, ”Shortest-path queries in static networks,” ACM Computing Surveys, vol. 46, issue 4, pp. 45:1-31, 2014. [17] T. Akiba, Y. Iwata, and Y. Yoshida, ”Dynamic and historical shortestpath

16. Kim, Jinha, et al. ”Processing time-dependent shortest path queries without pre-computed speed information on road networks,”

Information sciences, pp. 135-154, 2014. 17. T.Akiba, Y. Iwata, and Y. Yoshida, ”Dynamic and historical shortestpa distance queries on large evolving networks by pruned

landmark labeling,” Proc. of the 23rd international conference on World wide web,2014.

18. N. A. El-Sherbeny, ”The Algorithm of the Time-Dependent Shortest Path Problem with Time Windows,” Applied Mathematics, vol. 5, pp.2764-2770, 2014.

19. I. Dumitrescu and N. Boland, ”Improved pre-processing, labelling andscaling algorithms for the Weight Constrained Shortest Path

Problem,”Networks, vol. 42, no.3, pp. 135-153, 2003. 20. A. Efentakis, D. Pfoser, and Y. Vassiliou, ”SALT. A unified framework for all shortest-path query variants on road networks,” arXiv

preprint, arXiv:1411.0257, 2014.

21. M. Thorup, ”Undirected single-source shortest paths with positive integer weights in linear time,” Journal of the ACM, vol. 46, no. 3, pp. 362-394, 1999.

22. L. Zhao and M. Gao, ”Node Early-Fixing: A Practical Speedup Technique for A* Algorithms,” Journal of Mathematics, Statistics and

Operations Research (JMSOR), vol. 2, no.1, 2014. 23. R. Bauer, et al. ”Combining Hierarchical and Goal-Directed Speed-Up Techniques for Dijkstras Algorithm,” LNCS, vol. 5038, pp.

303318, 2008.

24. R. H. Mhring, et al. ”Partitioning graphs to speedup Dijkstra’s algorithm,”Journal of Experimental Algorithmics, pp. 2-8, 2007. 25. T. Akiba, et al. ”Fast Shortest-path Distance Queries on Road Networks by Pruned Highway Labeling,” ALENEX, 2014.

26. U. Karisruhe and C. Zaroliagis, ”Geometric Containers for Efficient Shortest-Path Computation,” Journal of Experimental

Algorithmics, vol. 10, no. 1.3, pp. 1-30, 2005 .

42.

Authors: Sundilla Ravi, D. Krishna

Paper Title: Improvement of Dynamic Performance of Induction Motor Drives by using FLC Based MPFC

Abstract: This project proposes a model predictive flux control (MPFC) system based SVM for IM drive

supplied by a three-level - neutral-point -clamped (3L-NPC) inverter with fuzzy logic controller. MPTC is a sort

of effective control strategy for high operation of IM drives, which manages one of a kind momentary powerful

reaction. be that as it may, MPTC experiences dull and time extreme alignment work for the weighting

components, which is an obstacle for its utility, especially in the staggered converters. To fathom this

inconvenience, it proposes MPFC machine principally dependent on SVM for IM drive. by methods for

interpreting references of torque and stator motion size into an equivalent new stator motion vector reference,

MPFC disposes of the utilization for weighting components. Fundamentally based at the FLC the pristine stator

transition vector is the transpose to a voltage vector reference. that is then incorporated by means of a SVM

square. The power of the proposed controller is confirmed by method for utilizing Matlab/Simulink in

expressions nation and dynamic reactions.

Keywords: Induction motor drive, MPFC, SVM, Fuzzy logic controller and Matlab/Simulink.

References: 1. Y. Zhang, J. Zhu, Z. Zhao, W. Xu, and D. G. Dorrell,“An improved direct torque control for threelevelinverter-fed induction motor

sensorless drive,”IEEE transactions on power electronics, vol. 27, no. 3,pp. 1502–1513, 2012.

2. Y. Zhang and Y. Peng, “Performance evaluation ofdirect power control and model predictive control forthree-level ac/dc converters,”

in Energy ConversionCongress and Exposition (ECCE), 2015 IEEE, IEEE,2015, pp. 217–224.

3. Y. Zhang, B. Xia, and H. Yang, “Performance evaluation of an improved model predictive control with field-oriented control as a

benchmark,” IET Electric Power Applications, vol. 11, no. 5, pp. 677–687, 2017.

4. T. Geyer, G. Papafotiou, and M. Morari, “Model predictivedirect torque control—part i: Concept, algorithm,and analysis,” IEEE

Transactions on Industrial Electronics,vol. 56, no. 6, pp. 1894–1905, 2009.

5. M. Habibullah, D. D.-C. Lu, D. Xiao, and M. F. Rahman,“Finite-state predictive torque control of inductionmotor supplied from a

three-level npc voltage sourceinverter,” IEEE Transactions on Power Electronics,vol. 32, no. 1, pp. 479–489, 2017.

6. Y. Zhang, H. Yang, and B. Xia, “Model-predictivecontrol of induction motor drives: Torque control versusflux control,” IEEE

Transactions on Industry Applications,vol. 52, no. 5, pp. 4050–4060, 2016.

7. Y. Zhang and H. Yang, “Two-vector-based model predictivetorque control without weighting factors forinduction motor drives,” IEEE

Transactions on PowerElectronics, vol. 31, no. 2, pp. 1381–1390, 2016.

8. F.Wang, “Sine-triangle versus space-vector modulationfor three-level pwm voltage-source inverters,” IEEEtransactions on industry

applications, vol. 38, no. 2,pp. 500–506, 2002.

9. J. Holtz, “The representation of ac machine dynamicsby complex signal flow graphs,” IEEE Transactionson Industrial Electronics, vol.

42, no. 3, pp. 263–271,1995.

10. S. C. Chapra and R. P. Canale, Numerical methods forengineers. Mcgraw-hill New York, 1998, vol. 2.

11. Z.Keliang and W. Danwei, “Relationship betweenspace-vector modulation and three-phase carrier-basedpwm: A comprehensive

analysis [three-phase inverters],”Industrial Electronics, IEEE Transactions on,vol. 49, no. 1, pp. 186–196, 2002.

12. N.CelanovicandD.Boroyevich, “A comprehensivestudy of neutral-point voltage balancing problem inthree-level neutral-point-clamped

voltage source pwminverters,” IEEE Transactions on power electronics,vol. 15, no. 2, pp. 242–249, 2000.

13. J. H. Seo, C. H. Choi, and D. S. Hyun, “A new simplifiedspace-vector pwm method for three-level inverters,”IEEE Transactions on

power electronics, vol. 16, no. 4,pp. 545–550, 2001.

14. B. K. Bose, “Expert system, fuzzy logic, and neuralnetwork applications in power electronics and motioncontrol,” Proceedings of the

IEEE, vol. 82, no. 8,pp. 1303–1323, 1994.

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43.

Authors: Wendrila Biswas, Debarun Chakraborty

Paper Title:

Effect of HRM practices in implementation and adoption of Human Resource Information System

(HRIS) in some selected manufacturing industries of Midnapore district of West Bengal – an empirical

analysis

Abstract: Managing the workforce of the manufacturing companies has always been a challenging and

onerous task with the Human Resource (HR) department. In this platform, the department plays a strategic role

in creating an employee oriented and productive workplace; advancing a positive work environment. The

department maintains its efficacy through solid information system infrastructure which easily aligns with that of

the business objectives. Human Resource Information System (HRIS) is a key tool that strengthens the

functioning of the different HR practices in the organization and brings decisive results. The system enhances

applications such as human resource planning, career- planning, training projections, monitoring employee

performance, analyzing data regarding the human resource thereby making strategic reports. The growing need

of reinforcing and corroborating human resource management functionalities, HRIS has been well accepted in

organizations today. For the survey, primary data was collected based on convenience sample. The feedback was

taken from the different HR staffs and officials of the selected manufacturing companies. Response rate turned

to 92 %. Multiple regression Analysis was conducted on the proposed research model and was found that the

Training and Development practices have the most significant influence in adoption of HRIS in organizations.

Keywords: Human Resource (HR) department, Human Resource Information System, efficacy, strategic

reports

References: 1. Aggarwal, N. & Kapoor, M. (2012). Human Resource Information Systems (HRIS) – Its role and importance in business

competitiveness, Gian Jyoti E Journal, 1(2), 1-13.

2. Al-Dmour, R. H. et al (2013). Factors influencing the adoption of HRIS applications: A literature Review, International Journal of Management and Business Studies, 3(4), 9-26.

3. Ankras, E. & Sokro, E. (2012). Human Resource Information System as a strategic tool in human resource management, Problems of

Management in 21st century, 5, 6-15. 4. Bajpai, N. (2013). Research Methodology, First Edition, New Delhi: Pearson Education.

5. Beulen, E. (2009). The contribution of a global service provider’s human resources information systems (HRIS) to staff retention in

emerging markets: company issues and implications in six developing countries, Information Technology and People, 22(3), 270-288. 6. Dorel D. & Martinovic, A. (2011). The role of information systems in human resource management, Research Monograph on The Role

of Labour Markets and Human Capital in the Unstable Environment, 1-20, retrieved from https://mpra.ub.uni-

muenchen.de/35286/accessed on 15.06.2018 7. Durai, P. (2010). Human Resource Management. Chennai: Pearson.

8. Hair,J.F. et al (2017). Multivariate Data Analysis, Seventh Edition, Pearson India Education Services.

9. Kazmi, S.A. & Naaranoja, M. (2014). HRIS- An effective knowledge management solution, GSTF International Journal on Business Review, 3(2), 87-96.

10. Kenneth A. K. and Charles E. C. (1999), HRIS: Providing business with rapid data access, information exchange and strategic

advantage, Public Personnel Management, 28(2), 275-282. 11. Khashman, I. & Khashman, A. (2016). The impact of human resource information system (HRIS) applications on organizational

performance (efficiency and effectiveness) in Jordanian private hospitals, Journal of Management Research, 8(3), 31-44.

12. Khera, S.N. & Gulati, K. (2012). Human Resource Information System and its impact on human Resource Planning: A perceptual analysis of Information Technology companies, IOSR Journal of Business Management, 3(6), 6-13.

13. Kundu, S.C. & Kadian, R. (2012). Applications of HRIS in Human Resource Management in India: A study, European Journal of

Business and Management, 4(21), 34-41. 14. Lengnick-Hall, M. L. & Moritz, S. (2003). The impact of e-HR on the human resource management function, Journal of Labour

Research, 24(3), 365-379.

15. Mathis, R. L., & Jackson, J. H. (2013). Strategic human resource management: Human resource management (10th ed.). Singapore: Melissa Acuna.

16. Muriithi, J.G. et al. (2014). Effects of human resource information systems on human resource management practices and firm

performance in listed commercial banks at Nairobi Securities Exchange, European Journal of Business and Management, 6(29), 47-55. 17. Nagendra, A. & Deshpande, M. (2014). Human Resource Information Systems (HRIS) in HR Planning and development in mid to large

sized organizations, Procedia- Social and Behavioural Sciences, 133, 61-67.

18. Nath, P. & Naidu, G. (2015). HRIS efficiency and its impact on organization, International Research Journal of Management Science and Technology, 6(7), 85-98.

19. Nawaz, N. (2014). The usage of human resource information system in HR processes in select software companies in Bangalore city

India, Information and Knowledge Management, 3(12), 102-111. 20. Panjaitan, F. et al. (2016). The influence of Human Resource Information System implementation, career development and work

discipline on service quality: A survey on civil servants in Medan, Indonesia, International Journal of Economics, Commerce and

Management, 6(7), 142-153. 21. Rangriz, H. et al.(2011). The impact of human resource information system on strategic decisions in Iran, Computer and Information

Science, 4(2), 81-87.

22. Sadiq, U. et al. (2012). The impact of information systems on the human resources department, Journal of Business Studies Quarterly, 3(4), 77-91.

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44.

Authors: V.Thrimurthulu, N S Murti Sarma

Paper Title: Interference Mitigation Techniques for Advanced Cellular Communications using MIMO Based Smart

Antenna Beam forming

Abstract: Wireless Communication Technology has developed many folds over the past few years. One of the

most reliable techniques to enhance the data rates is called Multiple Input Multiple Output (MIMO) wherein

severa gathering mechanical assemblies are used each on the transmitter and the authority. various signs are

transmitted from differing radio wires on the transmitter utilizing an equivalent repeat and segregated in space.

restrictive channel estimation techniques are connected so as to condemn at the substantial effects of the medium

blessing. in this paper, we look at and realize particular estimation structures for MIMO OFDM Systems such as

Least Squares (LS), Minimum Mean Square Error (MMSE), Constant Modulus Algorithm (CMA) and linear

251-258

Pre-coding. These techniques are therefore compared to effectively estimate the channel in MIMO OFDM

Systems. There are a few versatile beam forming strategies like LMS (slightest mean square) calculation beam

forming, RLS (recursive minimum square) computation beam forming methodology. They are especially

convincing procedures to relieve the obstruction

Keywords: MIMO, LMS, RLS, OFDM

References: 1. Coleri, S., Ergen, M., Puri, A., and Bahai, A., “Channel Estimation Techniques Based on Pilot Arrangement in OFDM Systems,” IEEE

Transactions on Broadcasting, vol. 48, pp. 223–229, Sept. 2002. 2. Yang, B., Letaief, K. B., Cheng, R. S., and Cao, Z., “Channel Estimation for OFDM Transmission in Multipath Fading channels Based

on Parametric Channel Modeling,” IEEE Transactions on Communications, vol. 49, pp. 467–479, March 2001.

3. H. Ge, K. D. Wong, and J. C. Liberti, “Characterization of multiple-input multiple-output (MIMO) channel capacity,” in Proc. IEEE Wireless Communications and Networking Conf. (WCNC), Orlando, FL, 2002.

4. N.Himayat, S.Talwar, A.Rao and R.Soni. “Interference Management for 4G Cellular Standards”, IEEE Communications Magazine,

Vol. 48(8), pp.86-92, August 2010. 5. D. Gesbert, M. Kountouris, R. Heath, C.-B. Chae, and T. Salzer, “Shifting the MIMO paradigm,” IEEE Signal Processing Magazine,

vol. 24, no. 5, pp. 36–46, Sep. 2007.

6. G. Fodor, A. Furuskar, P. Skillermark, and J. Yang, “On the impact of uplink scheduling on intercell interference variation in MIMO OFDM systems,” in IEEE Wireless Communications and Networking Conference, WCNC 2009, Apr. 2009, pp. 1–6.

7. F. Khan. LTE for 4G Mobile Broadband: Air Interface Technologies and Performance,ǁ Cambridge University Press, 2009.

45.

Authors: S. Sasikala, M. Bharathi, B. R. Sowmiya

Paper Title: Lung Cancer Detection and Classification Using Deep CNN

Abstract: Lung cancer is one of the most killerdiseases in the developing countries and the detection of

the cancer at the early stage is a challenge. Analysis and cure of lung malignancy have been one of the greatest

difficulties faced by humans over the most recent couple of decades. Early identification of tumor would

facilitate in sparing a huge number of lives over the globe consistently. This paper presents an approach which

utilizes a Convolutional Neural Network (CNN) to classify the tumors found in lung as malignant or benign. The

accuracy obtained by means of CNN is 96%, which is more efficient when compared to accuracy obtained by

the traditional neural network systems.

Keywords: Lung cancer, Computed Tomography, Chest CT image, Neural Network, Deep Learning,

Convolutional Neural Network

References: 1. http://globocan.iarc.fr/Pages/fact_sheets_ cancer.aspx.

2. https://www.livemint.com/Politics/3eXX60XBig4bWZ25Kr1iQO/India-recordedabout39-million-cancer-cases-in-2016data.html

3. Using Deep Learning for Classification of Lung Tumors on Computed Tomography Images.

4. M.S. Al-Tarawneh, “Lung cancer detection using image processing techniques,” Leonardo Electronic Journal of Practices and

Technologies, vol. 20, pp. 147– 58, May 2012. 5. LUNA16, “Lung tumor analysis 2016.” https:// luna16.grand-challenge.org/.

6. A Manikandarajan, S Sasikala, Detection and Segmentation of Lymph Nodes for Lung Cancer Diagnosis. National Conference on

System Design and Information Processing – 2013. 7. M.S. Al-Tarawneh, “Lung cancer detection using image processing techniques,” Leonardo Electronic Journal of Practices and

Technologies, vol. 20, pp. 147– 58, May 2012

8. Albert Chon, Peter Lu, NiranjanBalachandar “Deep Convolutional Neural Networks for Lung Cancer Detection”. 9. Wavelet Recurrent Neural Network for Lung Cancer Classification”:3rd ICSTcomputer,2017.

10. A.Kavitha, Anusiyasaral and P.Senthil,” Design Model of Retiming Multiplier For FIR Filter &its Verification”, International Journal

of Pure and Applied Mathematics, Vol116 No12, 2017, pp. 239-247 11. S Sasikala, M Ezhilarasi, Combination of Mammographic Texture Feature Descriptors for Improved Breast Cancer Diagnosis. Asian

Journal of Information Technology, 2016.

12. K.Malarvizhi, R.Kiruba, “A Novel Method Of Supervision And Control Of First Order Level Process Using Internet Of Things “,Journal Of Advanced Research In Dynamical And Control Systems, Vol 9 No.6 2017, Pp.1876-1894.

259-262

46.

Authors: Pavan Kumar K, S.V.N Srinivasu

Paper Title: An Approach for Extracting Viewpoint Patterns using Geometric Directions

Abstract: Vast improvement in technology significantly increases in the collection of images in a huge quantity.

Most of the technologies like IoT, sensors, scanners, point of sales, internet, etc. are gathering the data in the

form of images. Image processing researchers introduces many algorithms to process the images and tried to

extract information from the images. Due to the drastic development in data mining research give you an idea

about the way for extracting the value from the data which helps to improve the business and image database is

not an exception for this. Many researchers are trying to present the algorithm in the image mining area for

extracting the value from the image data databases. Recently Wynne Hsu, Jing Dai, and Mong Li Lee introduced

new type of patterns called viewpoint patterns which exhibit the invariant relationship between the objects. But

the algorithm suffers from costly operation of building the object table at every level. We design a new

algorithm for extracting the viewpoint patterns which builds the object table only once and uses this information

at every level and our algorithm is based on the relationship between the objects only.

Keywords: Image mining, viewpoint patterns, data mining, invariant relationship

References: 1. Dai J, Lee M, Hsu W. “Mining viewpoint patterns in image databases”. In: Proceedings of the 9th ACM SIGKDD international

conference on knowledge discovery and data mining. Washington, DC, USA. 2. S. Rajeshwari and T. S. Sharmila, “Efficient quality analysis of mri-image using preprocessing techniques,” in Information &

263-267

Communication Technologies (ICT), 2013 IEEE Conference on. IEEE, 2013, pp.391–396.

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International Journal (SIPIJ) Vol.3, No.6, December 2012.

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Australian Computer Society, Inc., 2002, pp. 13–20.

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SIGMOD International conference on Management of Data (SIGMOD ’93), pp. 207-216, 1993. 23. R. Agrawal, and R. Srikant,"Fast Algorithms for Mining Association rules", Proc. 20th International conference on Very Large

Databases, pp. 487-499, 1994.

24. R. Srikant and R. Agrawal, “Mining Generalized Association Rules”, 21st VLDB conference , Zurich , Swizerland, 1995. 25. R. Agrawal, and R. Srikant, "Mining sequential patterns",In proc. 1995 International Conference on Data Engineering. (ICDE’95), pp.

3-14, Taipei, Taiwan, March 1995

26. R Srikanth and R. Agarawal, “Mining Sequential Patterns: Generalization and Performance Improvements”, (EDBT ’96), In Proc. Of 5th Int’l Conference on Extending Database Technology, Avignon-France, pp. 3-17, March 1996.

47.

Authors: Y. Suresh, S. V. N Srinivasu

Paper Title: Fingerprint Classification by using the Delaunay Triangles

Abstract: The use of biometrics has increased drastically with the evolution in hardware and software

technology. Matching of finger prints are used for two types of system is used for two types of applications; one

is finger print verification and another one is finger print identification. The fingerprint identification is

computationally expensive one. In this paper we are proposing a approach for fingerprint classification and our

main contribution in this paper is we consider the cost of minimums spanning tree constructed using the set of

points represents the ridge bifurcation of ridge endings of the fingerprint and also we considered the special

points which are participating in more than s triangles in Delaunay triangulation.

Keywords: Biometrics, Finger prin, WFMT, Delaunay Triangle

References: 1. Do T., Lenca P., and Lallich S., “Classifying Many-Class High-Dimensional Fingerprint Datasets Using Random Forest of Oblique

Decision Trees,” Vietnam Journal of Computer Science, vol. 2, no. 1, pp. 3-12, 2015.

2. He S., Zhang C., and Hao P., “Clustering-Based Descriptors for Fingerprint Indexing and Fast Retrieval,” in Proceedings of the 9th

Asian Conference on Computer Vision, pp. 354-363, Queenston, 2010. 3. Parziale G. and Niel A., “A Fingerprint Matching Using Minutiae Triangulation”, Springer-Verlag, 2004.

4. Liu N., Yin Y., and Zhang H., “A Fingerprint Matching Algorithm Based on Delaunay Triangulation Net,” in Proceedings of the 5th

International Conference on Computer and Information Technology, Shanghai, pp. 591-595, 2005. 5. Deng H. and Huo Q., “Minutiae Matching Based Fingerprint Verification Using Delaunay Triangulation and Aligned-Edge-Guided

Triangle Matching,” in Proceeding of Audio and Video Based Biometric Person Authentication, New York, pp. 270-278, 2005.

6. Jin A., Ling D., and Song O., “An Efficient Fingerprint Verification System using Integrated Wavelet and Fourier-Melling Invariant Transform,” Journal of Image and Vision Computing, vol. 22, no. 6, pp. 503-513, 2004.

7. Karthik Nandakumar and Anil K. Jain ,(2004), “Local Correlation-based Fingerprint Matching”, Conference proceeding of Computer

Vision, Graphics and Image Processing, Kolkata, India, pp. 503-508. 8. Abdullah Cavusoglu and Salih Gorgunoglu, (2007), ” A Robust Correlation Based Fingerprint Matching Algorithm for Verification”,

Journal of Applied Sciences 7, pp. 3286-3291.

9. Gago-Alonso A., Hernández-Palancar J., Rodríguez-Reina E., and Muñoz-Briseño A., “Indexing and Retrieving in Fingerprint Databases Under Structural Distortions,” Expert Systems with Applications, vol. 40, no. 8, pp. 2858-2871, 2013.

10. Girgis M., Sewisy A., and Mansour R., “Robust Method for Partial Deformed Fingerprints Verification Using Genetic Algorithm,”

Expert Systems with Applications, vol. 36, no. 2, pp. 2008-2016, 2009. 11. Nanni L. and Lumini A., “Descriptors for ImageBased Fingerprint Matchers,” Expert Systems with Applications, vol. 36, no. 10, pp.

12414 - 12422, 2009.

12. Manual F, Gualberto T and Miguel L, “Fingerprint Verification Methods Using Delaunay Triangulations”, The International Journal of Information Technology, Vol. 14, No. 3, May 2017.

13. S. Skiena, “The algorithm design manual”, Springer-Verlag, New York, 1998.

268-271

14. G. Bebis, T. Deaconu, and M. Georgiopoulos, “Fingerprint identification using Delaunay triangulation,” in Proc. Int. Conf. Information

Intelligence and Systems, 1999, pp. 452–459.

15. N. Ratha, K. Karu, S. Chen and A. Jain, "A real-time system for large fingerprint databases", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 799-813, 1996.

27. Davide Maltoni, Dario Maio, Anil K. Jain, and Salil Prabhakar. Handbook of fingerprint recognition. Springer Science & Buisness

Media, London, 2009.

48.

Authors: S.V.G. Reddy, K. Thammi Reddy, V. Valli Kumari

Paper Title: Optimization of Deep Learning using Various Optimizers, Loss Functions and Dropout

Abstract: Deep Learning is gaining lot of prominence due to its break through results in various fields like

Computer Vision, Natural Language Processing, Time Series Analysis, Health Care etc. Earlier, the Deep

Learning was implemented using the batch and stochastic gradient descent algorithms and some optimizers

which lead to very less performance of the models. But today, lot of work is going on for the enhancement of

the performance of Deep Learning using various optimization techniques. So, in this context, It is proposed to

build a Deep Learning model using various Optimizers (Adagrad, RmsProp, Adam), Loss functions (mean

squared error, binary cross entropy) and Dropout concept for the Convolutional neural networks and Recurrent

neural networks and verify the performance such as Accuracy and Loss of the model. The proposed model has

achieved maximum Accuracy when Adam optimizer and mean squared error loss function are applied on

convolutional neural networks and the model is run with minimum Loss when the same Adam optimizer and

mean squared error loss function are applied on Recurrent neural networks. While performing the

Regularization of the model, the maximum Accuracy is achieved when the Dropout with a minimum fraction

‘p’ of nodes is applied on convolutional neural networks and the model has run with minimum Loss when the

same dropout value is applied on Recurrent neural networks.

Keywords: Deep Learning, Convolutional Neural Networks, CNN, Recurrent Neural Networks, RNN,

Computer Vision, Natural language processing, Time Series Analysis.

References: 1. Zhou, A. Khosla, A. Lapedriza, A. Oliva, And A. Torralba, “Learning Deep Features For Discriminative Localization,” In Proceedings

Of The Ieee Conference On Computer Vision And Pattern Recognition , 2016, Pp. 2921–2929 2. Https://Www.Superdatascience.Com/Deeplearning/

3. https://bhatsnotes.com/2016/12/23/artificial-intelligence-t-hub/

4. M. D. Zeiler And R. Fergus, “Visualizing And Understanding Convolutional Networks,” In European Conference On Computer Vision Springer, 2014, Pp. 818–833

5. A.Negi, C.Bhagvati, B.Krishna, An OCR system for Telugu, IEEE Proceedings of Sixth International conference on Document

Analysis and Recognition, DOI: 10.1109/ICDAR.2001.953958 6. Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, (Member, Ieee), And Javier Ortega-Garcia, (Fellow, Ieee), “ Exploring

Recurrent Neural Networks For On-Line Handwritten Signature Biometrics”, Ieee Access, Volume 6, P 5128-5138, 2018,

7. A.Graves, A. R. Mohamed, and G. Hinton, ‘‘Towards end-to-end speech recognition with recurrent neural networks,’’ in Proc. Int. Conf. Mach. Learn. , vol. 14. 2014, pp. 1764–1772.

8. S.Hochreiter, Y. Bengio, P. Frasconi, and J. Schmidhuber, ‘‘Gradient flow in recurrent nets: The difficulty of learning long-term

dependencies,’’ in A Field Guide to Dynamical Recurrent Networks, S. C. Kremer and J. F. Kolen, Eds. 2001. 9. S. Hochreiter and J. Schmidhuber, ‘‘Long short-term memory,’’ Neural Comput. , vol. 9, no. 8, pp. 1735–1780, 1997.

10. Sebastian Ruder, “An Overview Of Gradient Descent Algorithms”, Cornell University Library, Arxiv: 1609.04747[Cs. Lg]

11. AnirbanSarkar, AdityaChattopadhyay, PrantikHowlader, V. Balasubramanian, Grad-Cam++: “Generalized Gradient-Based Visual Explanations For Deep Convolutional Networks”, Proceedings Of Ieee Winter Conference On Applications Of Computer Vision

(Wacv'18), Mar 2018. [Arxiv]

12. R. R. Selvaraju, A. Das, R. Vedantam, M. Cogswell, D. Parikh, And D. Batra, “Grad-Cam: Why Did You Say That? Visual Explanations From Deep Networks Via Gradient-Based Localization,” ArxivPreprint Arxiv:1610.02391 , 2016.

13. AsmelashTekaHadgu; Aastha Nigam ; Ernesto Diaz-Aviles, “Large-scale learning with Adagrad on Spark, 2015 IEEE International Conference on Big Data (Big Data), DOI: 10.1109/BigData.2015.7364091

14. Mahesh Chandra Mukkamala, Matthias Hein , “Variants of RmsProp and Adagrad with Logarithmic Regret Bounds”, Proceedings of

the International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017, arXiv:1706.05507v2[cs.LG] 15. Zijun Zhang, “Improved Adam Optimizer for Deep Neural Networks”, 978-1-5386-2542-2/18/ ©2018 IEEE

16. KatarzynaJanocha, Wojciech Marian Czarnecki, “On Loss Functions for Deep Neural Networks in Classification”, Theoretical

foundations of machine learning, Vol. 25 (2016): 49–59 doi: 10.4467/20838476SI.16.004.6185 17. NitishSrivastava, Geoffrey Hinton, Alex Krizhevsky, IlyaSutskever, RuslanSalakhutdinov, “Dropout: A Simple Way to Prevent

Neural Networks from Overfitting”, Journal of Machine Learning Research 15 (2014), 1929-1958

18. Vu Pham ; ThéodoreBluche ; Christopher Kermorvant ; JérômeLouradour, “Dropout Improves Recurrent Neural Networks for Handwriting Recognition”, 2014 IEEE 14th International Conference on Frontiers in Handwriting Recognition, DOI:

10.1109/ICFHR.2014.55

19. Irwan Bello, BarretZoph, vijayvasudevan, QuocV.Le, “Neural optimizer search with Reinforcement learning”, Proceedings of the 34th International Conference on Machine Learning , Sydney, Australia, PMLR 70, 2017. Copyright 2017 by the author(s).

20. Mohaksrivatsava, s.pallavi, srijita Chandra, G.Geetha, “ Comparison of optimizers implemented in generative adversarial

network(GAN)”, International journal of Pure and Applied mathematics, vol. 119, no 12, 2018.

272-279

49.

Authors: A. Raveendra, K. Sri Noothan Reddy

Paper Title: Infinitely Variable Valve Lifting

Abstract: A new mechanism of Inlet Camshaft with valve lift varying infinitely for Internal Combustion

engines is presented. In this, the valve opening and closing is done by a three-dimensional cam or camoid with a

translating spherical follower. And the camoid is actuated by a Governor which rotates about a horizontal axis.

Also, the design procedure for spring and analytical expressions for Governor are generated. And the design of

camoid profile is defended by employing the theory of envelope. A numerical example is given to explain the

application of the approach.

Keywords: camoid, governor, variable valve lifting.

280-285

References: 1. Sable, Rahul KrishnajiBawane “I-VTEC: Intelligent - Variable Valve Timing & Lift Electronic Control - A Review” IJSRD/Vol.

5/Issue 01/2017/160) //ISSN (online): 2321-0613.

2. BMW’s

VANOShttp://www.bmw.com.kh/asia/en/insights/technology/technology_guide/articles/vanos_double_vanos.html?source=index&a

rticle=vanos_double_vanoshttps://en.wikipedia.org/wiki/VANOS https://us.autologic.com/news/bmw-vanos-system

3. Subaru’s AVCS and AVLS - https://en.wikipedia.org/wiki/Active_valve_control_syste.

https://web.archive.org/web/20120624171722/http://drive2.subaru.com/Spring07_whatmakes.htm

4. Huber, R., Klumpp, P., and Ulbrich, H., "Dynamic Analysis of the Audi Valve lift System," SAE Int. J. Engines 3(1):839-849,

2010.https://doi.org/10.4271/2010-01-1195.https://www.audi-technology-portal.de/en/drivetrain/fsi-tsi-engines/audi-valvelift

system_en.

5. Toyota’s VVT-I and Valvematic -

http://www.toyotaglobal.com/innovation/environmental_technology/technology_file/https://en.wikipedia.org/wiki/VVT-i

6. Bernard, L., Ferrari, A., Micelli, et.al, “Electro-hydraulic valve control with multiair technology" ATZ Worldw (2009) 70: 4. (ISSN

2192-9114). https://doi.org/10.1007/BF03226988

7. Porsche Variocacm - http://www.porscheengineering.com/filestore.aspx/default.pdf?pool=peg&type=download&id=service-engine-

case-02-2005&lang=en&filetype=default

8. Seinosuke Hara, Seiji Suga, Makoto Nakamura, “Variable Valve Actuation Systems for Environmentally Friendly Engines”.

9. MajoCecur, Eaton Corporation, “Fully Variable Valve Train” United States Patent No: US 6,659,053 B1, Dec. 9, 2009.

10. Chakraborthy. L &Dhande S.G, “A Unified approach to the analytical design of three-dimensional cam mechanisms”, February-

1975, ASME.

11. M. Tsay& G.S. Hwang, “Applications of Theory of envelope to determination of camoid profiles with translating follower”,

320/Vol. 116, March-1994, ASME.

12. AmisthabhaGhosh and AsokkumarMallik, “Theory of Mechanisms and Machines” , 3rded., 2006 by East West Press publications,

ISBN:9788185938936

13. S. Md. Jalaudeen, “Design Data Handbook”, 2004, Anuradha publications, ISBN: 9788187721628.

50.

Authors: A. Raveendra, Mohammed Abdul Mubashir

Paper Title: Design and Analysis of Leaf Spring for Heavy Weight Vehicles using Composite Materials

Abstract: At present, we can find numerous leaf springs made up of steel which are utilized for the purpose

of suspension of light weight to heavy weight vehicles. It is discovered that the conventional leaf springs and

unsprung weight to the vehicle and diminishes its fuel efficiency. Since the composite materials are the

advanced materials with higher strength to weight ration and higher corrosion resistance, they are found as the

potential substitutes for these traditional metallic leaf springs. In this paper composite materials like E-Glass

epoxy, S-glass epoxy, carbon fibre reinforced polymer and kelvar are used against the conventional steel for

heavy weight vehicles with the objective to minimize the weight of the vehicle. Modelling of the spring is done

in CATIA and analysis is carried out in ANSYS.

Keywords: E-Glass epoxy, S-Glass Epoxy, Carbon fiber reinforced polymer, kelvar, steel leaf spring, catia and

ansys

References: 1. R.L Daugherty, “Application of Composite Materials to Truck Components”, Composite Materials Proceedings of Japan- US

Conference Tokyo, 1981, pp. 529-538.

2. S Vijayarangan, Shiva Shankar, G Siddaramanna, “Mono Composite Leaf Spring for Light Weight Vehicle”, International Journal of

Material Science, Vol 12, 2006, pp. 220-225.

3. E Giannakis, M Malikoutsakis, G Savaidis, “Fatigue Design of Leaf Springs for New Generation Trucks”, International Journals of

Structure Integrity,Vol 161, 2016, pp. 1-9.

4. M Gembiram, R Elayaraja, K Mrali, R Saravanan. K Ganesh, “Design and Analysis of Multi Leaf Springs Using Composite

Materials”, International Journal for Research in Applied Science and Engineering Technology, Vol 2, April 2014, pp. 309-314.

5. E VenkateshwaraRao, T.N.V Ashok Kumar, S.V Gopal Krishna, “Design and Material Optimization of Heavy Vehicle Leaf Spring”,

International Journal of Research in Mechanical Engineering and Technology,Vol 4, April 2014, pp. 80-88.

6. TharigondaNiranjanBabu, P. Bhaskar, S. Moulaali, “Design and Analysis of Leaf Spring with Composite Materials”, International

Journals of Engineering Sciences and Research Technology,Vol 3, august 14, pp. 759-762.

7. SuwarnaTorgal, Shashank Jain, “Simulation of Parabolic Leaf Spring for Heavy Commercial Vehicle Using FEA”, International

Journal of Engineering Sciences and Research Technology,Vol 4, June 2015, pp. 1077-1081.

8. A Mannivanam, G Vasanth, “Design and Parametric Optimization of Heavy Duty Leaf Spring”, International Journal of Engineering

and Computer Science, Vol 4, May 2015, 12216-12223.

9. Isaac M. Daneil, OriIshai, “Engineering Mechanics of Composite Materials”, Second Edition, pp. 377.

10. R.S Kurmi, J K Gupta, “A Text Book of Machine Design”, pp. 866-879.

286-291

51.

Authors: K.Shimola

Paper Title: A Study on Soil Stabilization using Sugarcane Bagasse Ash

Abstract: Soil is the base of a structure which helps in equally distributing the load and supports the super

structure and foundation. If the soil stability is not adequate then failure of structure takes place in form of

settlement,cracks. Black cotton soil are also called as expansive soils which is is responsible for such situations

and is due to presence of mineral called montmorillonite in it, which experience shrinkage and swelling. To

overcome this properties of soil are improved by mechanical and chemical process known as soil stabilisation.

Many research has been conducted for stabilisation of soil by using cementing, chemical materials like

flyash,calcium chloride, sodium chloride etc. In India, limited techniques are followed in agricultural waste

disposal. India is second largest country in the production of sugarcane with 341,400 thousand metric annual

tones(TMT) produce.Western Maharastra is pioneer in production of sugarcane in large quantities sugar cane

factories produce waste after extraction of sugarcane juice in machines and that waste after burning produce

ash known as bagasse ash. It is made up of fibrous material having silica and puzzolonic in nature which

improves the physical properties of black cotton soil. Experiments are conducted on black cotton soil by

292-295

partially replacing bagasse ash (4%,8%,12%,16%,20%). Black cotton soil properties of are increased at 16 % by

replacing of bagasse ash not including any chemicals.

Keywords: Soil Stabilisation, Black Cotton Soil, Bagasse Ash, Unconfined Compression Test, Maximum Dry

Density )

References: 1. Chittaranjan, M., Vijay, M., Keerthi, D. (2011). Agricultural wastes as soil stabilizers. Int. Journal of Earth Sci. and Eng. 4(6),

pp. 50-51.

2. Gandhi, K.S. (2012) “Expansive Soil Stabilization using Bagasse Ash,” International Journal of Engineering Research and

Technology, 1(5), 1-3.

3. Manikandan, A. & Moganraj, M. 2014, 'Consolidation and Rebound Characteristics of Expansive Soil by Using Lime and Bagasse

Ash', International Journal of Research in Engineering and Technology, vol. 03, no. 04, pp. 403-11.

4. Osinubi, K. J. (2000). “Influence of compaction energy levels and delays on cement treated Soil.” Nigerian Society of Engineers

Technical Transactions, Vol. 36, No. 4, pp 1 – 13.

52.

Authors: M. Swami Das, A. Govardhan, D. Vijaya Lakshmi

Paper Title: An Approach for Minimizing the Response Time and Improving Availability of Web Services

Abstract: The worldwide use of the Web-based application is increasing rapidly in various domains like E-

commerce, banking etc. The Web users use mobiles, smart devices, laptops and PC. The devices use

communication protocols with the Internet based web application. Web services are APIs, design application

use of SOA Architecture, SOAP, UDDI and WSDL specifications. In this paper, we have discussed the basic

elements, the applications to require high-quality parameters related to computer networking, operating system,

software related parameters, response time and availability. The minimum response time to invoke operations

with use of Optimized Multi-level Shortest Remaining Time CPU scheduling algorithm to minimize the waiting

time to achieve high availability of services even in failure of the system the recovery procedures by providing

backup, elastic and Fault-tolerant services. We have used the QWS dataset, Dream set and Grid dataset for

experiments. The experiments on this dataset improved performance minimizing response time (RT) and

increased availability

Keywords: Web service, QoS, Response Time, availability, operating systems, FTS, Performance, software

References: 1. Jianbin Wei, and Cheng-ZhongXu,"Measuring Client-Perceived Page view Response Time of Internet Services",pp.773-785 IEEE

Transactions on Parallel and Distributed Systems, Vol. 22, No. 5,(2011)

2. ZujieRen, Jian Wan, Weisong Shi, XianghuaXu, and Min Zhou,"Workload Analysis, Implications, and Optimization on a Production

Hadoop Cluster: A Case Study on Taobao", pp. 307-321, IEEE Transactions on Services Computing, Vol. 7, No. 2, (2014)

3. William Stallings, “High-speed Networks and Internets Performance and Quality of Service”, pp.183-247, Pearson Education

Publishers, (2002)

4. J. Zhu, Y. Kang, Z. Zheng and M. R. Lyu, "WSP: A Network Coordinate Based Web Service Positioning Framework for Response

Time Prediction," pp. 90-97.doi: 10.1109/ICWS.2012.81, IEEE,19th International Conference on Web Services, Honolulu, (2012)

5. A. E. Yilmaz and P. Karagoz, "Improved Genetic Algorithm Based Approach for QoS Aware Web Service Composition,", pp. 463-

470.doi: 10.1109/ICWS.2014.72, IEEE International Conference on Web Services, Anchorage, AK, (2014)

6. Balazs Simon, Balazs Goldschmidt, and KarolyKondorosi," A Performance Model for the Web Service Protocol Stacks", pp. 644-

657, IEEE Transactions on Services Computing, Vol. 8, No. 5, (2015)

7. 7.Tarek F. Abdelzaher, Kang G. Shin, and Nina Bhatti,"Performance Guarantees for Web Server End- systems: A Control-Theoretical

Approach", pp. 80-96, IEEE Transactions on Parallels and Distributed Systems, vol.13, No.1, (2002)

8. Chen Hou and Qianchuan Zhao, “Optimization of Web Service-Based Control System for Balance between Network Traffic and

Delay”, pp. 1-11", IEEE Transactions on Automation Science and Engineering, (2017)

9. Song Wu, Like Zhou, Huahua Sun, Hai Jin, and Xuanhua Shi, "Poris: A Scheduler for Parallel Soft Real-Time Applications in

Virtualized Environment” pp. 841-854, ", IEEE Transactions on Parallel and Distributed Systems, Vol. 27, No. 3, (2016)

10. Sajee Mathew, “Architecting for High Availability", pp. 1-111, AWS Summit 2013 Navigating the Cloud, (2013)

11. Kranti Pore, “How to Achieve Website High Availability in a Distributed Enterprise Environment",

http://www.bitwiseglobal.com/blogs/website-high-availability-in-distributed-enterprise-environment/

12. P. M. Melliar-Smith and L. E. Moser, "Conversion Infrastructure for Maintaining High Availability of Web Services Using Multiple

Service Provider spp. 759-764.doi: 10.1109/ICWS.2015.110" 2015 IEEE International Conference on Web Services, New York, NY,

(2015)

13. 13.http://blog.fosketts.net/2011/07/06/defining-failure-mttr-mttf-mtbf/

14. 14. Andrew S. Tanenbaum, “Modern Operating Systems”, pp. 71-151, Prentice Hall India, 2nd Edition,(2001)

15. 15.Achyut S Godbole, “Operating Systems”, pp.404-420, 2nd Edition Tata McGraw Hill Publishers, (2005)

16. 16. D M Dhamdhere, “Operating Systems: A concept based Approach”, pp.339-735, Tata McGraw Hill publications, (2002)

17. 17. Gary Nutt, NabenduChaki, and SarmsisthaNeogy, “Operating Systems”, pp. 42- 54, 3rd Edition, Pearson Publications, (2004)

18. 18. Parag K. Lala, “Fault-Tolerant and Fault Testable Hardware Design”, BS Publications (2002), pp. 1-11

19. 19. Dhananjay M. Dhamdhere, “Operating systems: A Concept-based approach”, McGraw Hill Education publishers,3rd Edition,

(2009), pp. 760-783

20. 20.Andrews S. Tanenbaum, Herbert Bos, “Modern Operating Systems”, Pearson publishers(2016), pp. 148-165

21. 21. Grid dataset http://gwa.ewi.tudelft.nl/

22. 22. M. Swami Das, A. Govardhan, and D. Vijaya Lakshmi. 2015. QoS of Web Services Architecture. In Proceedings of the

International Conference on Engineering & MIS 2015 (ICEMIS '15). ACM, New York, NY, USA, article 66, pp. 1-8

23. 23. M. Swami Das, A. Govardhan, and D. Vijaya Lakshmi. Best practices for web applications to improve performance of QoS. In

Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies

(ICTCS '16). ACM (2016), NewYork, NY, USA, Article123, pp.1-9

24. 24. Marc Oriol, Jordi Marco, and Xavier Franch, "Quality models for web services: A systematic mapping ", Information and

Software Technology, (2014), pp.1-16

25. 25. https://github.com/wsdream/wsdream-dataset 26. 26. QWS Data set http://www.uoguelph.ca/~qmahmoud/qws/

296-305

53.

Authors: Aaron Carl T. Fernandez, Ken Jon M. Tarnate, Madhavi Devaraj

Paper Title: Deep Rapping: Character Level Neural Models for Automated Rap Lyrics Composition

Abstract: Dope”, “Twerk”, “YOLO”, these are just some of the words that originated from rap music

which made into the Oxford dictionary. Rap lyrics break the traditional structure of English, making use of

shorten and invented words to create rhythmic lines and inject informality, humor, and attitude in the music. In

this paper, we attack this domain on a computational perspective, by implementing deep learning models that

could forge rap lyrics through unsupervised character prediction. Our work employed novel recurrent neural

networks for the task at hand and showed that these can emulate human creativity in rap lyrics composition

based on qualitative analysis, rhyme density score, and Turing test performed on computer science students.

Keywords: Gated Recurrent Unit; Long Short-Term Memory; Natural Language Generation; Recurrent Neural

Networks.

References: 1. M. Escoto and M. B. Torrens. Rap the Language. Publicaciones Didacticas 28 (2012)

2. M. Daniels. The Largest Vocabulary in Hip Hop. Retrieved August 5, 2018 from https://pudding.cool/2017/02/ vocabulary/ 3. Graves. Generating Sequences with Recurrent Neural Networks. arXiv:1308.0850, (2013)

4. K. Addanki and D. Wu. Unsupervised rhyme scheme identification in hip hop lyrics using hidden markov models. Proceedings of the

First international conference on Statistical Language and Speech Processing, (2013)

5. E. Malmi, P. Takala, H. Toivonen, T. Raiko, and A. Gionis. DopeLearning: A Computational Approach to Rap Lyrics Generation.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (2016)

6. Sutskever, J. Martens, and G. Hinton. Generating text with recurrent neural networks. Proceedings of the 28th International Conference on International Conference on Machine Learning (2011)

7. S. Hochreiter and J. Schmidhuber. Long Short-Term Memory. Neural Comput. 9, 8 (1997)

8. P. Potash, A. Romanov, and A. Rumshisky. GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. Proceedings of the

2015 Conference on Empirical Methods in Natural Language Processing (2015)

9. G. Barbieri, F. Pachet, P. Roy, and M. D. Esposti. Markov constraints for generating lyrics with style. Proceedings of the 20th European Conference on Artificial Intelligence (2012)

10. H. Hirjee and D. Brown. Using Automated Rhyme Detection to Characterize Rhyming Style in Rap Music. Empirical Musicology

Review 5, 4 (2010)

11. N. Condit-Schultz. MCFlow: A Digital Corpus of Rap Transcriptions. Empirical Musicology Review 11, 2 (2017)

12. M. Fell and C. Sporleder. Lyrics-based Analysis and Classification of Music. Proceedings of 25th International Conference on

Computational Linguistics (2014)

13. E. Lamb, D. G. Brown, and C. Clarke. Can Human Assistance Improve a Computational Poet? Proceedings of Bridges 2015:

Mathematics, Music, Art, Architecture, Culture (2015)

14. Cho, B. Merrienboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. Proceedings of the 2014 Conference on Empirical Methods in Natural

Language Processing (2014)

15. Chung, C. Gulcehre, K. Cho, and Y. Bengio. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. NIPS

2014 Workshop on Deep Learning (2014)

16. Wu, K. Addanki, and M. Saers. Freestyle: A Challenge-Response System for Hip Hop Lyrics via Unsupervised Induction of

Stochastic Transduction Grammars. Proceedings of the Annual Conference of the International Speech Communication Association (2013)

17. P. Bojanowski, A. Joulin, and T. Mikolov. Alternative structures for character-level RNNs. arXiv:1511.06303 (2016)

18. E. Shannon. A mathematical theory of communication. SIGMOBILE Mob. Comput. Commun. Rev. 5, 1 (2001)

19. P. T. de Boer, D. P. Kroese, S. Mannor, and R. Y. Rubinstein. A Tutorial Introduction to the Cross-Entropy Method. Annals of

Operations Research 134, 1 (2005)

20. H. Hirjee and D. G. Brown. Rhyme Analyzer: An Analysis Tool for Rap Lyrics. Proceedings of 11th International Society for Music Information Retrieval Conference (2010)

21. Wu, K. Addanki, M. Saers, and M. Beloucif. Learning to Freestyle: Hip Hop Challenge-Response Induction via Transduction Rule

Segmentation. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (2013)

22. M. Turing. Computing machinery and intelligence. In Computers & thought (1995)

23. D. P. Kingma and J. Ba. Adam: A Method for Stochastic Optimization. Proceedings of the 3rd International Conference on Learning

Representations (2015)

24. Paul Edwards. How to Rap: The Art & Science of the Hip-Hop MC, Chicago: Chicago Review Press (2009)

306-311

54.

Authors: A.S. Balaganesh, R. Sengodan, R. Ranjithkumar, B. Chandarshekar

Paper Title: Synthesis and Characterization of Porous Calcium Oxide Nanoparticles (CaO NPS)

Abstract: Calcium oxide nanoparticles (CaO NPs) gain great value in the areas of energy storage and drug

delivery systems. Due to good porosity it finds its part in storage systems and its biocompatibility earns it a

good value in drug delivery and gene transfection. In this present work, calcium oxide nanoparticles are

prepared by means of simple precipitation method. Thus prepared particles are subjected to morphological, size

and structural analyses. The X-ray diffraction studies revealed the polycrystalline nature of CaO nanoparticles.

The SAED pattern confirms the polycrystalline nature. Transmission electron microscope shows that the size of

the particles varies between 80 nm to 190 nm which is in good agreement with particle size analysis results.

Keywords: CaO NPs, Precipitation, XRD, TEM

References: 1. Sengodan, R &Rajamani, Ranjithkumar&Kuppusamy, K.Selvam&Chandarshekar, B.. Antibacterial activity of silver nanoparticles

coated intravascular catheters (AgNPs-IVC) against biofilm producing pathogens. Rasayan Journal of Chemistry. 11 (2017) 63–68. 10.7324/RJC.2018.1111934.

2. Sengodan, R &Bheeman, Dinesh &Rajamani, Ranjithkumar&Pattiyappan, Sagadevan& SUGUMARAN, Dr. SATHISH &Bellan, Chandar. Synthesis, Characterization and Remedial Aspect of BaTiO3 Nanoparticles Against Bacteria. Nanomedicine and

Nanobiology. 2. (2016) 16–20. 10.1166/nmb.2015.1014.

3. G. Oskam, Metal oxide nanoparticles: Synthesis, characterization and application, Journal of Sol-Gel Science and Technology, 37 (2006) 161–164.

312-314

4. C. Ngamcharussrivichai, W. Meechan, A. Ketcong, K. Kangwansaichon, S. Butnark, Preparation of heterogenous catalysts from

limestone for transesterification of vegetable oils–Effects of binder addition, Journal of Industrial and Engineering Chemistry, 17

(2011) 587–595. 5. M.A. Alawi, A. Morsali, Chapter 9, in: Y. Masuda (Ed.), Nanocrystal, InTech under CC BY-NC-SA 3.0 license, 2011, pp. 237–262.

6. Z. Tang, D. Claveau, R. Corcuff, K. Belkacemi, Preparation of nano-CaO using thermal-decomposition method, J. Arul, Materials

Letters, 62 (2008) 2096–2098.

7. Y. Zhu, S. Wu, X. Wang, Nano CaO grain characteristics and growth model under calcinations, Chemical Engineering Journal, 175

(2011) 512–518.

8. H.K. Park, M.W. Bae, I.H. Nam, S.G. Kim, Acid leaching of CaO–SiO2 resources, Journal of Industrial and Engineering Chemistry, 19 (2013) 633–639.

9. S. Assabumrungrat, P. Sonthisanga, W. Kiatkittipong, N. Laosiripojana, A. Arpornwichanop, A. Soottitantawat, W. Wiyaratn, P.

Praserthdam, Thermodynamic analysis of calcium oxide assisted hydrogen production from bio-gas, Journal of Industrial and Engineering Chemistry, 16 (2010) 785–789.

10. T. Liu, Y. Zhu, X. Zhang, T. Zhang, X. Li, Synthesis and characterization of calcium hydroxide nanoparticles by plasma-metal

reaction method, Materials Letters, 64 (2010) 2575–2577. 11. N.A. Oladoja, I.A. Ololade, S.E. Olaseni, V.O. Olatujoye, O.S. Jegede, A.O. Agunloye, Synthesis of nano calcium oxide from a

gastropod shell and the performance evaluation for Cr (VI) removal from aqua system, Industrial and Engineering Chemistry

Research, 51 (2012) 639–648. 12. T.N. Blanton, C.L. Barnes, Quantitative analysis of calcium oxide dessicant conversion to calcium hydroxide using x-ray diffraction,

Advances in X-ray Analysis, 48 (2005) 45–51.

13. A.Imtiaz, M.Akhjar, Farrukh, M.Khaleeq-Ur-rahman, R. Adnan, Micelle-assisted synthesis of Al2O3.CaO nanocatalyst: Optical properties and their application in photodegradation of 2,4,6-Trinitrophenol, The Scientific World Journal, 32 (2013) 1–11.

14. L.A. Pe’rez-Maqueda, L. Wang, E. Matijevic, Nanosized indium hydroxide by peptization of colloidal precipitates, Langmuir, 14

(1998) 4397–4401. 15. R. Sengodan, R. Ranjithkumar, K. Selvam, B. Chandarshekar, Antibacterial Activity of Silver Nanoparticles coated Intravasular

Catheters (AgNPs-IVC) against Biofilm Producing Pathogens. Rasayan J. Chem. 11, (2018), 63-68.

16. M. Ambrosi, L. Dei, R. Giorgi, C. Neto, P. Baglioni, Colloidal particles of Ca(OH)2: Properties and applications to restoration of frescoes, Langmuir, 17 (2001) 4251–4255.

17. M. Ghiasi, A. Malekzadeh, Preparation of CaCO3 nanoparticles via citrate method and sequential preparation of CaO and Ca(OH)2

nanoparticles, Crystal Research and Technology, 47 (2012) 471–478. 18. E. Darezereshki, Synthesis of meghamite (γ-Fe2O3) nanoparticles by wet chemical method at room temperature, Materials Letters, 64

(2010) 1471–1472.

19. Sengodan, R &subramani, Gopal&Bheeman, Dinesh &Rajamani, Ranjithkumar&Bellan, Chandar. Structural and optical properties of vacuum evaporated V2O5 thin films. Optik - International Journal for Light and Electron Optics. 127. (2015) 461–464.

10.1016/j.ijleo.2015.08.045.

20. .M. MosharofHossain, Shah Newaz, JannatulFerdausi, Md. Abdul Alim,” Materials And Fibers In Smart Textiles Development”, International Research Journal of Multidisciplinary Science & Technology(IRJMRS), Vol01,no04 ,pp211-217, (2016).

21. Roy, J. Bhattacharya, Micro-wave assisted synthesis and characterization of CaO nanoparticles, International Journal of Nanoscience,

10 (2011) 413–418. 22. Islam, S.H. Teo, E.S. Chan, Y.H. Taufiq-Yap, Enhancing sorption performance of surfactant-assisted CaO nanoparticles, Journal of

Applied Chemical Research, 4 (2014) 65127–65136

23. Susmita, S. Tarafder, Calcium phosphate ceramic systems in growth factor and drug delivery for bone tissue engineering: A review, ActaBiomater. 8 (2012) 1401–1450.

24. Roy, J. Bhattacharya, Synthesis of Ca(OH)2 nanoparticles by wet chemical method, Micro & Nano Letters, 5 (2010) 131–134.

55.

Authors: Kalaiselvi, Vasuki

Paper Title: Adaptive Filter Architecture for FPGA Implementations

Abstract: Adaptive filters play a Significant role in digital signal processing but their implementation in real

time consumes high area and power. Several architectures have been proposed for their real time

implementation such as Distributed Arithmetic, CORDIC, Systolic, etc. which reduces the area and improves

the speed. All these architectures are multiplier less and among these, the CORDIC structure is simple and gives

reduction in area at the cost of speed. To overcome this drawback, it is modified by implementing it along with

Karatsuba algorithm (KA). The combination of KA algorithm and CORDIC structure gives better performance

in terms of area and speed. The proposed work is implemented using Xilinx system generator. The structure is

tested for different bit representations and the results show that the proposed structure has better performance

compared to the existing structures. The proposed structure can be used in applications such as RADAR,

Channel Equalizers and Noise Cancellers.

Keywords: Adaptive filter, FPGA, CORDIC,KA algorithm

References: 1. P. K. Meher, J. Valls, T.-B.Juang, K. Sridharan, and K. Maharatna, “50 years of CORDIC: Algorithms, architectures, and

applications,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 56, no. 9, pp. 1893–1907, Sep. 2009. 2. Chung-Hsin Liu, Chiou-Yng Lee and Pramod Kumar Meher, “Efficient Digital-serial based KA based multiplier over binary

Extensions field using block recombination approach,” IEEE Trans. on circuits Syst:Reg. papers,Vol.62,No.8, Aug 2015

3. Reid M. Hewlitt, “Canonical Signed Digit Representation for Fir Digital Filters”, IEEE Workshop on Signal Processing Systems, 2000,pp. 416426.

4. AmritakarMandal, BrajeshKumarKaushik, Brijesh Kumar, R.P. Agarwal “Implementation of Adaptive FIR Filter for pulse

Doppler Radar,” proceedings of the IEEE, pp. 978-1-4244-9190-2 5. P.Albicococo, G.C. Cardarllic, Pontarelli, “Karatsuba implementation of FIR filter,” Int. J. on VLSI Signal Processing, 978-1-

4673-5050-1

6. B. Swapna Reddy, V. Rama Krishna, “Implementation of Adaptive Filter Based on LMS Algorithm,” Int. J. of Engineering Research & Technology (IJERT) Vol. 2 Issue 10, Oct – 2013

7. N. Takagi, T. Asada and S. Yajiima, “Redundant CORDIC method with a constant scale factor for Sine and Cosine computation,”

IEEE Trans. On comput., Vol-C-40, No, 9, pp. 989-995,1991 8. M.D. Meyer and P. Agarwal, “A modular pipelined implementation of a delayed LMS traversal adaptive filter,” in IEEE in t.

symposium on ircuitsSyst,, May 1990,pp. 1943-1946. 9. Ying He, Hong He, Li Li, Yi Wu, Hongyan pan, “The Applications and Simulation of Adaptive Filter in Noise Canceling,” in Int.

Conf. on comput. Science and Software Engineering, Vol: 4 year: 2008.

10. J.E. Volder, “The Birth of CORDIC,” Int.J.on VLSI signal processing, Vol.30, pp. 25-101, 2000. 11. C-Y.Lee and P.K.Meher, “Efficient bit-parallel multipliers over finite fields GF,” comput.Elect.Eng, vol.36 no.5, pp.955-968,2010

315-319

12. A.Vanitha, N. Venkatesh Kumar, “Design Implement and Simulation of adaptive FIR Filter using CORDIC structures for Radar

applications,” Int.J. of Engineering Science and Innovative Technology (IJESIT), Vol. 2, Issue 4, Jul 2013

13. Chung-Hsin Liu, Chiou-Yng Lee and Pramod Kumar Meher, “Efficient Digital-serial based KA based multiplier over binary Extensions field using block recombination approach,” IEEE Trans. on circuits Syst:Reg. papers,Vol.62,No.8, Aug 2015

14. Lavanya, M., &Kalaiselvi, A. (2016, March). High speed FIR adaptive filter for RADAR applications. In Wireless Communications,

Signal Processing and Networking (WiSPNET), International Conference on (pp. 2118-2122). IEEE.

15. Sureshkumar N, K.Paramasivam, “Bypassing-Based Multiplier Design: A Tutorial and Research Survey”, International Journal of

Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.29 (2015) pp:22606-22613.

16. D.Vinisha, P.Ramamoorthy, “Performance Analysis Of Enhanced Adaptive Scheduling Scheme In Wireless Sensor Networks” International Journal of Innovations in Scientific and Engineering Research (IJISER), Vol 1 Issue 4 APR 2014, pp258-263.

17. K. Pradeep Mohan Kumar,M.Saravanan and M.Aramuthan, “Hybrid Network Intrusion Detection System Based on GANNModels”,

International Journal of Pure and Applied Mathematics, Volume 116 No. 11 2017, 31-39. 18. L.Latha, K.Gayathri Devi, “ A New Approach To Image Retrieval Based On Sketches using Chamfer

Distance” Journal of Advanced Research in Dynamical and Control Systems, Vol. 9- Sp– 6 / 2017,pp1959-1968

56.

Authors: Abishek P, Karthikeyan G

Paper Title: Study on Steel Beam Column Joint with Different Types of Connections

Abstract: A wide theoretical and experimental study was made on different types (welded and bolted) of

beam-to-column connections has been made using Reduced Beam Section (RBS) concept. The beam is reduced

on the flange with specified radii on both sides of the section. Totally 6 different models have been analysed

ANSYS. Single and Double stiffeners are additionally provided in order to increase the time taken for

deformation thereby avoiding sudden collapse in the structure. Total deformation is the main parameter

considered in the study. Comparing the results from the ANSYS software and thereby choosing the critical

section. Then the critical section is developed into a 3 storey frame for which push over analysis is performed

using E-TABS. Performance of the building is observed at different stages of hinge formation and push over

curve is plotted.

Keywords: Reduced Beam Section, Stiffener, Bolted Connection, Welded Connection, Notch.

References: 1. A Study of Reduced Beam Section Profiles using Finite Element Analysis Kulkarni Swati Ajay, VesmawalaGaurang - IOSR Journal

of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684 ,p-ISSN: 2320-334X, Volume 6, Issue 4 (May. - Jun. 2013),

PP 01-06. 2. Experimental study of cross stiffened steel plate shear walls with semi-rigid connected frame HongChaoGuo, YanLong Li, Gang

Liang, YunHe Liu - Journal of Constructional Steel Research 135 (2017) 69–82.

3. Cyclic behaviour of beam-to-column joints with cast steel connectors, LeweiTong ,Yingzhi Chen, Yiyi Chen, Cheng Fang- Journal of Constructional Steel Research 116 (2016) 114–130.

4. Panel Zone Shear Behavior of Through-Flange Connections for Steel Beams to Circular Concrete-Filled Steel Tubular Columns,Yu-

Chen Ou, Ngoc-Minh Tran, Cheng-Cheng Chen and Hung-Jen Lee - J. Struct. Eng., 2015, 141(9). 5. Experimental and FEM analysis of reduced beam section moment endplate connections under cyclic loading, C.E. Sofias, C.N. Kalfas,

D.T. Pachoumis - Engineering Structures 59 (2014) 320–329.

6. Rotation capacities of reduced beam section with bolted web (RBS-B) connections, Sang Whan Han, Ki-Hoon Moon, Seong-Hoon Hwang, BozidarStojadinovic - Journal of Constructional Steel Research 70 (2012) 256–263.

7. Cyclic performance of steel moment-resisting connections with reduced beam sections experimental analysis and finiteelement model

simulation,D.T. Pachoumis, E.G. Galoussis, C.N. Kalfas, I.Z. Efthimiou - Engineering Structures 32 (2010) 2683_2692. 8. The reduced beam section moment connection without continuity plates, Scott M. Adan, Lawrence D. Reaveley - 13th World

Conference on Earthquake Engineering Vancouver, B.C., Canada, August 1-6, 2004, Paper No. 1504.

320-323

57.

Authors: J. Premalatha , N. Lakshmipriya

Paper Title: Seismic Retrofitting of Beam-Column Joints in RCC Buildings Using Jacketing Techniques Along With

Cross Bars

Abstract: An analytical study on seismic retrofitting of a reinforced concrete Beam-column joint was

performed using FEM modeling . The main objective of this study is to increase the shear capacity and load

carrying capacity of the structures using retrofitting techniques. In this study, the retrofitting was done by

jacketing methods like carbon fibre reinforced polymer sheets (CFRP), Glass fibre reinforced polymer mesh,

Sisal fibres along with crossed bars are carried out using the ANSYS Workbench. The wrapping of beam

column joint was done by single, double, triple layer of CFRP, GFRP and Sisal fibres with different thickness.

During the analysis one end of the column were fixed. Cyclic loading was applied at the free end of the

cantilever beam in Beam-column joint and Fixed load was applied at the top of the column. The load is applied

up to the ultimate load to obtain the fatigue failure. This report discusses about the performance of the

retrofitted beam column joint; and was compared with the conventional specimen.

Keywords: Beam-column joint, CFRP, GFRP, Sisal fibres, Jacketing techniques

References: 1. Leon, R. T., Shear Strength and Hysteretic behaviour of Interior Beam-Column Joints, ACI Structural Journal, 87(1), pp. 3-11, Jan.-

Feb. 1990.

2. Kirshnaraju. N , Design of reinforced concrete structures(2008).

3. IS:13920-1993, “Indian Standard code of practice for ductile detailing of concrete structures subjected to seismic forces,BIS, New Delhi, 1993.

4. Ghobarah, A. and Said, A. (2001) "Seismic rehabilitation of beam-column joints using FRP laminates", Earthquake Engineering, Vol.

5, No. 1, pp. 113-129. 5. Antonopoulos, C. P., and Triantafillou, T. C., “Analysis of FRP Strengthened RC Beam-Column Joints,” Journal of Composites for

Construction, ASCE, V. 6, No. 1, Feb. 2002, pp. 41-51.

6. Varindersingh, prem pal bansal, S.K.Kaushik, ManeekKumar , ”Experimental studies on strength & ductility of CFRP jacketed reinforced concrete beam-column joints”,194-201,Feb. 2014

7. IS:456-2000, “Indian Standard code of practice for plain and reinforced concrete,” Bureau of Indian Standards, New Delhi.

324-326

8. ASCE 7-10; “Minimum Design Loads for Buildings and Other Structures”, American Society of Civil Engineers, VI, USA

58.

Authors: J. Premalatha, M. Palanisamy

Paper Title: Performance Evaluation of a Multistorey Steel Frame with Viscous Fluid Dampers in Lower Toggle

Configuration

Abstract: The performance evaluation of a 20-Storey steel moment resisting frame [1] incorporated with

viscous fluid dampers in lower toggle configuration under earthquake loads was carried out using SAP 2000

software. The time history analysis was carried out with El Centro, Kobe, Northridge and S_Monica earthquake

time histories. The peak ground acceleration (PGAs) for the model building is assumed as 0.35g. The Time

history analysis for bare frame and the frame with dampers placed in six different configurations were done to

find their optimum placing to perform better under earthquake forces. The absolute acceleration (a),

displacements (d), inter-storey drifts (dr) produced in all six different model frames with different

configurations of lower toggle mechanisms due to earthquake forces are found out. The optimum damper

configuration was arrived from the analytical results. The peak average response reduction values for the

optimum Lower toggle configuration of viscous dampers in the model frame are found out as 69.0, 59.1 and

68.6 for absolute acceleration, maximum displacements and inter story drifts respectively.

Keywords: Time history analysis, inter-storey drifts, lower toggle, energy dissipation devices.

References: 1. Y. Ohtori, R. E. Christenson, B. F. Spencer, S. J. Dyke (2004) Bench mark control problems for seismically excited non linear

buildings”, jornal of Engineering mechanics, volume 130 Issue 4 April 2004 pp.366-385.

2. Khaled, M H., and Magdy, A T., “Comparative Study of The Effects of Wind and Earthquake Loads on High-rise Buildings”, Concrete research letters (www.crl.issres.net), Vol. 3(1), March 2012.

3. Constantinou MC, Tsopelas P, Hammel W and Sigaher AN. Toggle-Brace-Damper Seismic Energy Dissipation Systems, Journal of Structural Engineering ASCE 2001; Vol.127, No.2, pp. 105-111.

4. Wakchaure M.R, Ped S. P, Earthquake Analysis of High Rise Building with and Without In filled Walls,

http://ijeit.com/vol%202/Issue%202/IJEIT1412201208_19.pdf. 5. Patil G.R. et al., (2014), “Seismic Energy Dissipation of a Building Using Friction Damper”, International Journal of Innovative

Technology and Exploring Engineering (IJITEE), Volume-3, Issue-10, March 2014.

6. IS 1893 (Part 1):2002, “Criteria for earthquake resistant design of structures”, Bureau of Indian standards, New Delhi, 2002. 7. IS 875 (Part 1):1987, “Code of practice for design loads (other than earthquake) for buildings and structures”, Part 1, Dead loads,

Bureau of Indian standards, New Delhi, 1989.

8. J.Premalatha, M.Mrinalini, M.Palanisamy, “, Study on the Seismic Response of a Steel Building with Viscous Fluid Dampers – Chevron Configuration”, International Research Journal of Engineering and Technology (IRJET) Volume 5 , Issue 5 , 2018, pp. 2980-

2987.

9. J.Premalath, R.Manju, V.Senthilkumar , “Seismic response of multistoried steel frame with viscous fluid –scissor jack dampers, , International Journal of Civil Engineering &Technology , July 201

327-331

59.

Authors: Nishaant Ha, Swethaa.B, Chris Anto.L

Paper Title: Concreting For Construction- Quality Control by Six Sigma Approach

Abstract: A quality intensive approach towards construction concreting for the commercial industry is

gaining immense importance and it has become the prime duty of every engineer to contribute towards ensuring

durability and serviceability of the offered concrete. In this paper, a discussion is presented on a possible way of

assuring quality of concrete by implementing six sigma principle to reduce the variability in characteristics

among various batches. The methodology of DMAIC (Define-Measure-Analyse-Improve-Control) is applied to

the concreting process, considering the Compressive Strength as the Critical to Quality (CTQ) factor. The

concrete samples obtained from an RMC were tested for compressive strength at 3, 7 and 28 days, tabulated and

analysed for variations. Also, different types of cements used are considered. Sigma levels are identified and

suggestions for improving the levels are recommended, which in turn tend to reduce variations and thus

streamline the strength values within narrow limits. Control charts as guidelines for further concreting are

established.

Keywords: CTQ, DMAIC, DPMO, Sigma Level

References: 1. A. D. Lade, A. S. Nair , P. G. Chaudhary, N. R. Gupta : DOI: 10.9790/1684-12210104 www.iosrjournals.org 1 | Page Implementing

Six Sigma Approach for Quality Evaluation of a RMC Plant at Mumbai, India” IOSR Journal of Mechanical and Civil Engineering

(IOSR-JMCE) e-ISSN: 2278-1684,p-ISSN: 2320-334X, Volume 12, Issue 2 Ver. I (Mar - Apr. 2015), PP 01-04 2. Adan Valles, Jaime Sanchez, Salvador Noriega, and Berenice Gómez Nuñez “Implementation of Six Sigma in a Manufacturing

Process: A Case Study” International Journal of Industrial Engineering, 16(3), 171-181, 2009.

3. Kenneth T. Sullivan, Ph.D, A.M.ASCE, , “Quality Management Programs in the Construction Industry: Best Value Compared with Other Methodologies” Journal of Management in Engineering, Vol. 27, No. 4, October 1, 2011

4. Kuo-Liang Lee, and Yang Su (Taiwan) “Applying Six Sigma to Quality Improvement in Construction”, American Society of Civil

Engineers.(2013) 5. Low Sui Pheng and Mok Sze Hui “Implementing and Applying Six Sigma in Construction” Journal of Construction Engineering and

Management, Vol. 130, No. 4, August 1, 2004

6. Mehmet Tolga Taner “Critical Success Factors for Six Sigma Implementation in Large-scale Turkish Construction Companies” International Review of Management and Marketing Vol. 3, No. 4, 2013, pp.212-225

7. PANDE, P., NEUMAN, R. P. & CAVANAGH, R. R. (2000) The six sigma way: how Ge, Motora and other top companies are honing

their performance. Recherche, 67,02. 8. Seung Heon Han, M.ASCE; Myung Jin Chae, Ph.D., P.E.; Keon Soon Im, P.E.; and Ho Dong Ryu “Six Sigma-Based Approach to

Improve Performance in Construction Operations” Journal of Management in Engineering, Vol. 24, No. 1

9. SUNIL V. DESALE , DR. S. V. DEODHAR , “LEAN SIX SIGMA PRINCIPAL IN CONSTRUCTION: A LITERATURE REVIEW

RELATED TO ABSTRACT”, JOURNAL OF INFORMATION, KNOWLEDGE AND RESEARCH IN CIVIL ENGINEERING

10. Sunil V. Desale1, Dr. S. V. Deodhar 2. “ Lean Six Sigma Principal in Construction: A Literature Review Related to Conclusions

332-335

“International Journal of Emerging Technology and Advanced Engineering, Volume 3, Issue 5, May 2013)

11. http://www.krishisanskriti.org/vol_image/11Jun201610065547%20%20%20%20%20Swethaa%20B%20%20%20%20%20%20%204

36-439.pdf 12. http://www.exinfm.com/project_files/3.03.1%20Simple%20Six%20Sigma%20Calculator.xls

60.

Authors: Sylviya B, P. Eswaramoorthi

Paper Title: Analysis of RCC Building with Shear Walls at Various Locations and In Different Seismic Zones

Abstract: Shear walls are the structural systems which counteracts the effect of lateral loads such as wind and

earthquake loads acting on a structure. They are usually provided as an encasement for the elevator cores,

stairwells etc., thereby resisting the horizontal and vertical forces effectively. In the present study, analysis of

RCC building has been carried out by changing the locations of shear walls in the building. Also, the effect of

variations in seismic zones as per IS codes has been presented. The seismic analysis performed is linear

dynamic response spectrum analysis using the well known analysis and design software ETABS16.2.0. Seismic

performance of the building has been investigated based on parameters such as storey drift, base shear and

storey displacements.

Keywords: ETABS, Asymmetric building, Shear walls, Response spectrum, seismic zones.

References: 1. IS: 1893(part 1) : 2016, “ Criteria for earthquake resistant design of structures, part 1, general provisions and buildings “,Bureau of

Indian Standards.

2. "Solution of shear wall in multi-storey building”, Anshuman , DipenduBhunia, BhavinRamjiyani, International journal of civil and

structural engineering, Volume 2, no.2, 2011.

3. “Effect of change in shear wall location on storey drift of multi-storey residential building subjected to lateral load”, Ashish S.Agrawal and S. D. Charkha, International journal of Engineering Research and Applications, Volume 2, Issue 3,may-june 2012, pp.1786-1793.

4. R.S.Mishra, V.Kushwaha, S.Kumar , " A Comparative Study of Different Configuration of Shear Wall Location in Soft Story Building Subjected to Seismic Load" International Research Journal of Engineering and Technology Volume: 02 Issue: 07 | Oct-2015

5. "Design of Multistoried R.C.C. Buildings with and without Shear Walls" M. S. Aainawala 1 , Dr. P. S. Pajgade International Journal

of Engineering Sciences & Research Technology[498-510] 6. "Seismic Behaviour of RC Shear Walls" Mahdi Hosseini1 , Ahmed Najm Abdullah Al-Askari2 , Prof, N.V. Ramana Rao3

International Journal On Scientific Research And Technology Research.

336-339

61.

Authors: V.G. Kalpana, Aravind B, P. Eswaramoorthi

Paper Title: Use of Kadappa Waste as a Resource Material for Building Construction

Abstract: The burnt clay brick is a longstanding building material for house construction. The raw material for

the production of burnt clay is top soil which is removed from agricultural land and natural landscapes. This

process paves way for the depletion of the soil nutrient content and moisture content as well as destabilizes the

soil. Also the emission of greenhouse gases during burning of bricks affects the environment. To evade these

problems, researchers attempted to establish an alternative green material named Fly ash bricks which utilizes

the waste from thermal plants for its production. In addition to the innovation of fly ash bricks, an attempt has

been made to utilize the kadappa stone waste as an ingredient in fly ash bricks for construction works. This

study focuses on the effect on utilization of kadappa waste as an ingredient for manufacturing a building

material. Experimental work is carried out on kadappa fly-ash bricks comprised of different proportions of

kadappa stone waste, fly-ash and lime and the comparative study is made to fine the optimum mix proportion.

Keywords: Kadappa waste; Fly Ash; Lime; Kadappa Fly - ash bricks.

References: 1. Nitin S. Naik, B.M.Bahadure, & C.L.Jejurkar, “Strength and Durability of Fly Ash, Cement and Gypsum Bricks”, International

Journal of Computational Engineering Research, Vol, 04, Issue 5, May 2014,pp.1-3. 2. O. Kayali, “High Performance Bricks from Fly Ash”, Proceedings of world of coal ash (WOCA), , Kentucky, USA, April 2005, pp.1-

13.

3. Dhanapandian,S, Gnanavel,B, & Ramkumar,T “Utilization of granite and marble sawing powder wastes as brick materials”, Carpathian Journal of Earth and Environmental Sciences, October 2009, Vol. 4, No. 2, pp. 147 -160.

4. N. Gamage, K. Liyanage, S. Fragomeni, & S. Setunge, “Overview of different type of fly ash and their use as a building and

construction material” Proceedings of International Conference of Structural Engineering, Construction and Management, At Kandy, Sri Lanka, December 2011, pp.1-8.

5. N.Venkata Ramana , C.Sashidhar , S.Subba Reddy , S.Vinay Babu, “A technical feasibility approach to utilize the stone waste for

construction works”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, Issue 8, August 2013, pp. 3758 – 3761.

6. M. C. Nataraja and Lelin Das, “A study on the strength properties of paver blocks made from unconventional materials”, IOSR

Journal of Mechanical and Civil Engineering (IOSR-JMCE), May 2014, pp 1- 5.

340-344

62.

Authors: Gowri Shankar M, Nagarajan V, Eswaramoorthi P, Karthik Prabhu T

Paper Title: Performance Assessment and Cost Effectiveness in Replacement of Aggregates with Construction and

Demolition Waste in Concrete

Abstract: The demand for Fine Aggregate and Coarse Aggregate is huge owing to infrastructure

developments and also a scarcity of natural resources. On the other spectrum, the quantum of a huge quantity of

Construction & Demolition Waste (C & D Waste) generated is increasing every year. Disposing of this C & D

waste is a posing a very serious problem as it requires a large amount of space, it affects groundwater and also it

is not cost effective in case of dumping (Land Filling). So recycling of such waste by means of Segregation

Process and utilizing those materials as Recycled Aggregate (RA) for construction projects is a sustainable

alternative that helps in the reduction of overutilization of natural resources. This paper is an experimental

investigation by means of Compaction Factor, Compressive Strength, Water Absorption and Workability of

Recycled Aggregate Concrete (RAC) and also analyzing the cost to evaluate the effect of replacement of Fine

345-349

Aggregate and Coarse Aggregate by C & D Waste. The research has been conducted for M25 mix. The

optimum mix 20% of Recycled Fine Aggregate (RFA) and 30% of Recycled Coarse Aggregate (RCA) was

chosen as the optimum mix among the 4 different mixes depending on its promising results. As a result of cost

analysis, the optimum mix is cost-effective when compared with Natural Aggregate Concrete (NAC).

Keywords: Recycled Fine Aggregate (RFA), Recycled Coarse Aggregate (RCA), Natural Aggregate Concrete

(NAC), Recycled Aggregate Concrete (RAC), Cost Analysis.

References: 1. B.Kavitha and M. Lenin Sundar “Experimental Study on Partial Replacement of Coarse Aggregate with Ceramic Tile Wastes and

Cement with Glass Powder” International Journal of ChemTech Research Vol.10 No.8, pp 74-80, 2017 CODEN (USA): IJCRGG, ISSN: 0974-4290, ISSN(Online):2455-9555

2. Mohd Monish, Vikas Srivastava et.al “Demolished Waste As Coarse Aggregate In Concrete” J. Acad. Indus. Res. Vol. 1(9) February

2013 ISSN: 2278-5213 3. D.V. Prasada Rao and P.L. Sindhu Desai “ Experimental Investigations Of Coarse Aggregate Recycled Concrete” International

Journal of Advances in Engineering & Technology, Nov., 2014. ISSN: 22311963

4. Mrunalini Deshmukh “REUCRETE: Replacement of Fine Aggregate by Demolished Waste Concrete” International Conference On Emanations in Modern Technology and Engineering (ICEMTE-2017) ISSN: 2321-8169 Volume: 5 Issue: 3 46 – 52

5. Deepak.V.M, R.Harish et.al “Replacement Of Aggregate By C&D Concrete” Research • July 2015 DOI: 10.13140/RG.2.1.4358.8964

6. K Radhika and A Bramhini “Construction And Demolision Waste As A Replacement Of Fine Aggregate In Concrete” International Journal of Science, Engineering and Technology Research (IJSETR) Volume 6, Issue 6, June 2017, ISSN: 2278 -7798

7. Prof. Shruthi. H. G, Prof. Gowtham Prasad. M. E et.al “Reuse of Ceramic Waste as Aggregate in Concrete” International Research

Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 07 | July-2016 p-ISSN: 2395-0072 8. Prakash Somani, Brahmtosh Dubey et.al “Use Of Demolished Concrete Waste In Partial Replacement Of Coarse Aggregate In

Concrete” SSRG International Journal of Civil Engineering (SSRG-IJCE) – volume 3 Issue 5 – May 2016 9. Vikas Srivastava, Mohd Monish et.al “Demolition Waste in concrete” Article • January 2015

10. https://www.researchgate.net/publication/278300168

11. Nik. D. Oikonomou “Recycled concrete aggregates” Cement & Concrete Composites 27 (2005) 315–318 12. Mats D. Skevik Hole “Used Concrete Recycled as Aggregate for New Concrete” 14/06/2013

13. Farid Debieb and Said Kenai “The Use Of Coarse And Fine Crushed Bricks As Aggregate In Concrete” Construction and Building

Materials 22 (2008) 886–893 14. M.C.Limbachiya, T.Leelawat et.al “Use of Recycled Concrete Aggregate in High-Strength Concrete” Materials and

Structure/Matériaux et Constructions, Vol.33, November 2000, pp 574-580

15. Shi-cong Kou, Chi-sun Poon et.al “Comparisons of natural and recycled aggregate concretes prepared with the addition of different mineral admixtures” Cement & Concrete Composites 33 (2011) 788–795

16. Prabakaran P. A, Premalatha J and Satheesh Kumar KRP “Experimental Investigation on Flexural Behavior of Geopolymer Concrete

(2017), International Journal of Civil Engineering & Technology, Vol. 8, Issue 8, August 2017, pp. 1692-1706. 17. Vishnu A, Mohana v and Manasi S, “Use of Polyethylene Terephtahalate in Concrete – a brief review (2017)”, International Journal of

Civil Engineering and Technolgy, Vol. 8, Issue 7, July 2017, pp. 1171-1176.

18. IS 456:2000 “Plain and Reinforced Concrete – Code of Practice” 19. IS 10262:2009 “ Guideline for Concrete Mix Design Proportioning”

63.

Authors: S.Rajalakshmi, Kezia Jobel Selvakumar, J.Sathya Kirubaa, T.R.Lakshmi

Paper Title: A Comparative Study On Compressive

Strength of Ordinary Concrete and Concrete Replaced With Ceramic Tiles and Eco Sand

Abstract: Concrete is an essential component in determining the growth of country’s infrastructure. It is a

composite material comprising fine aggregate, coarse aggregate and cement. Due to the increasing demands for

both fine and coarse aggregate, finding a replacement is essential. Eco sand which is the bi product of cement

manufacturing industries is found to be a worthy replacement for fine aggregate. During tile manufacturing

process, about 30% of the material are transformed into waste. This waste can be reused by replacing a certain

quantity of coarse aggregate in concrete. In this paper, the compressive strength test results of conventional

concrete and concrete replaced with M sand, Eco sand and ceramic tiles were compared. It has been identified

that the latter is more efficient and leads to sustainable development. In brief, the concrete of M20 grade with

replacement is found to attain higher strength than the conventional concrete.

Keywords: ceramic tiles, M sand, Eco sand, compressive strength

References: 1. IS 10262: 2009 Indian standard -Concrete mix proportioning - guidelines, Bureau of Indian standard, 2009, New Delhi.

2. IS 456:2000 Indian standard -Plain and reinforced concrete – Code of Practice, Bureau of Indian standard, 2000, New Delhi.

3. Mr.P.Ravikumar, ‘Partial replacement of aggregate with ceramic tile in concrete’ 4. Dr.Susmitha, ‘An Experimental Study on Eco Sand as Partial Replacement for Fine Aggregate in Cement Concrete’

5. Aruna D, RajendraPrabhu, Subhash C Yaragal, KattaVenkataramanaIJRET:eISSN: 2319-1163 | pISSN: 2321-7308.

6. BatritiMonhun R. Marwein, M. Sneha, I. Bharathidasan International Journal of Scientific Engineering Research, Volume 7, Issue 4, April-2016 ISSN 2229-5518

7. Benito Mas, AntoniCladera, Teodoro del Olmo and Francisco Pitarch, ‘Influence of the amount of mixed recycled aggregate on the

properties of concrete for non-structural use’, Construction and Building Material, issue l27, pp.612-622, 2012. 8. Dr.K.Chinnaraju1,V.R.Ramkumar,K.Lineesh, S.Nithya, V.Sathish, ‘Study on concrete using steel slag as coarse aggregate

replacement and ecosand as fine aggregate replacement’ , JREAT International Journal of Research in Engineering & Advanced

Technology, Volume 1, Issue 3, June-July, 2013.

350-351

64.

Authors: K. Ramadevi, P. Muthaiyan

Paper Title: Seismic Analysis of Vertical Irregularity Rc Building By Extended N2 Method

Abstract: For the seismic evaluation and design of structures, N2 method of analysis of nonlinear static

simplified procedure is adopted. The advancement of N2 procedure is known as extended N2 method and it is

made easier to seismic evaluation of irregular structures. A common vertical irregularity found in multi-storied

building frames is Asymmetric setback. The present study is made for the G+5 framed Reinforced Cement

352-356

Concrete vertical setbacks irregularity building in the seismic zone IV. Analysis of the structure was done by

extended N2 method. The seismic parameters in terms of displacements and storey drifts was obtained for the

G+5 framed building by the extended N2 method. In addition to that same structure is analysed by the Non-

linear Time History Analysis. The results obtained from extended N2 method and that from non-linear Time

History analysis were compared. A model was created using SAP2000 package and analysis of the structure is

done.

Keywords: method, Asymmetric setback

References: 1. Bhatt C et.al ,"Assessing the seismic response of existing RC buildings using the extended N2 method", Bull Earthquake Eng., Vol.

9,pp. 1183 – 1201.

2. Cimellaro et.al, "Bidirectional Pushover Analysis of Irregular Structures", American Society of Civil Engineers, Vol. 4, pp. 1 – 13

3. Dini Devassy Menachery et.al, "Application of extended N2 method to reinforced concrete frames with asymmetric setback", International Journal of Civil Engineering and Technology, Vol. 5, pp. 143 – 154.

4. Dr. Rehan A. Khan et.al, "Performance Based Seismic Design of Reinforced Concrete Building",International Journal of Innovative

Research in Science,Engineering and Technology, Vol. 3, pp. 13495 – 13506. 5. Govind M et.al "Non-linear static pushover analysis of irregular space frame structure with and without T shaped columns", Vol. 3, pp.

663 – 667.

6. K. Ramadevi, D. L. Venkatesh Babu & R. Venkatasubramani, “Behaviour of Hybrid Fibre Reinforced Concrete Frames with infills against lateral reversed loads”, Arabian Journal for Science and Engineering, ISSN NO:1319-8025, 2014, Springer Heidelberg, Vol. 1,

pp. 1 – 18.

7. IS 456-2000, Code of Practice for Reinforced Concrete.IS 1893 (Part 1):2002, Criteria for Earthquake Resistant Design of Structures.

65.

Authors: S K Shivaranjani , S.Uma Sankari

Paper Title: Efficiency of Polyethene Non-Woven Fibre Filter for Treating Institutional Waste Water by Membrane

Bio Reactor Process

Abstract: Treatment of waste water involves a variety of Advanced Oxidation Process. The most advanced

one is Membrane Bio Reactor (MBR). The unique features of MBR are higher order MLSS in the range of

12,000 mg/l and reduces the sludge production. This process is efficient in removing Total Solids in waste

water. Due to the fact that the membrane being too costly, an alternative approach was taken which featured

Polyethylene Non-woven Fibre Filter that gave promising results. A laboratory scale Membrane reactor is

fabricated for treatment of Institutional Waste water. A small scale reactor is formed by scaling with the

treatment plant of capacity 3MLD in the ratio 1:4000. The process involves combination of activated sludge

process and membrane filtration. The waste water is pumped to the aeration tank by peristaltic pump from the

collection tank. The water is filled in the tank by leaving the freeboard space. The air is supplied by reverse

process of peristaltic pump for 2.5 hrs (HRT). After the aeration process, the water is passed over the membrane

for filtration. The organic impurities which are present in the membrane after treatment are returned to the

aeration tank for the next process (3hrs HRT).The process is continued until the maximum removal efficiency is

achieved by varying the run time. The BOD and Turbidity is tested for the treated water at various runtime The

Hydraulic Retention Time (HRT) is varied in the range 2.5 - 6 hrs . The maximum BOD removal efficiency

obtained was 98% and turbidity removal efficiency was 97% in the 6 hrs HRT. The MBR system offers many

benefits, such as higher MLSS rate, exclusion of sedimentation unit, less sludge production compared to

Activated Sludge Process. Various studies of MBR technology has compared with conventional activated

Sludge process in terms of removal of pollutants from waste water. The drawback of MBR process is high

installation and operation cost. Thus an alternative approach of replacing the membrane by Polyethylene non

woven fibre membrane is used which gave the promising results.

Keywords: Membrane Bio Reactor, Polyethylene Non-woven Fibre Filter, HRT.

References: 1. Saima Fazal, Beiping Zhang (2014),” Treatment of Industrial Waste Water by MBR”, Pollution Research Paper, 33(03):499-503. 2. Franca Zanetli, Giovanna Re Luca (2012),”Full Scale MBR treatment on Municipal waste water”, International Journal on Chemical,

Environmental and Pharmaceutical Research, 3:52-57.

3. T. Melini, B. Jefferson (2012),” Treatment of water and reuse by MBR”, Journal of Saudi Chemical Society. 4. Jia Ju Tian, Hing Liang (2012),”Submerged Ultrafiltration MBR”, Journal of Experimental Sciences, 3(9):21-26.

5. Bharat Gupta, Patrick Paulier(2010),”Pilot MBR for sewage plant”, Journal of hazardous materials, 177(1):70-80.

6. Andrea Achilli, Tzahi Y Cath(2006),”Forward Osmosis MBR Technology”, Bioresource Technology, 97(9):1061-1085. 7. G.L.Sathyamoorthy (2017), “ A Novel Approach to treat Sago Industrial Wastewater using Anaerobic Hybrid Reactor (AHR)”,

International Journal of Civil Engineering and Technology (IJCIET), Volume 8, Issue 7, July 2017.

8. A.Gandhimathi (2017) , “An Experimental Study On Behaviour Of Modified Bitumen Using Recycled Plant” , International Journal of Civil Engineering and Technology (IJCIET), Volume 8, Issue 8, August 2017.

357-359

66.

Authors: P. SachinPrabhu, Ha. Nishaant, T. Anand

Paper Title: Behaviour of Self-Compacting Concrete with Cement Replacement Materials

Abstract: Self-compacting concrete is a type of special concrete which do not require vibration for

compaction. The self-compacting concrete has a major disadvantage of its cost due to additional usage of

chemical admixtures and Portland Cement .The cost of self-compacting concrete can be reduced by replacement

of cement by cement replacement materials .In this paper fly ash, wood ash and their combinations are used as

cement replacement materials. Fly ash is an mineral admixture that can be used in concrete. The Wood ash

containing less Calcium oxide and significant quantity of Silicon dioxide may be used for replacement of

cement. The incorporation of these replacement materials reduces the need for viscosity modifying agents.

Higher durability and greater mechanical integrity can be achieved by lowering the water content in the

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concrete. Experimental investigations such as split tensile strength ,compressive strength , flexural strength of

self-compacting concrete containing cement replacement materials are conducted to determine their Mechanical

properties. Workability tests (slump,L-box, V-funnel) on the corresponding mix are also used to study the

characteristics.The methodology adopted here is the cement replacement materials are replaced 10% and 20%

by weight of ordinary Portland cement and the performance is measured. To improve the workability of the

concrete 1.5 % of superplasticizer (glenium B233) by weight of the cement is used as chemical admixture.

Guidelines given by EFNARC are followed to design the mix. From this investigation it is observed that the

optimum replacement of 10% of wood ash and fly ash in self- compacting concrete increases the compressive

strength of the of the concrete mixture.

Keywords: replacement of cement, EFNARC are followed

References: 1. Bonen, D. and Shah, S. P. (2005). “Fresh and hardened properties of self-consolidating concrete construction.” Progress in Structural

Engineering Materials, Vol. 7, No. 1, pp. 14-26.

2. Chee Ban Cheah ,MahyuddinRamli (2011),“Strength, durability and drying shrinkage of structural mortar containing HCWA as partial replacement of cement” School of Housing, Building and Planning, UniversitiSains Malaysia, 11800 Penang, Malaysia.

3. EFNARC (2002). Specification and guidelines for self-compacting concrete, UK, p. 32, ISBN 0953973344.

4. Okamura, H., Ozawa, K. Mix design for Self compacting concrete. Concrete library of JSCE, No.25, June 1995, pp 107-120 5. Sonebi, M. (2004). “Medium strength self-compacting concrete containing fly ash: Modelling using factorial experimental plans.”

Cement and Concrete Research, Vol. 34, No. 7, pp. 1199-120

6. Uysal, M. and Sumer, M. (2011). “Performance of self-compacting concrete containing different mineral admixtures.” Construction andBuilding materials, Vol. 25, No. 11, pp. 4112-4120.

7. Abinaya, J. JaccilinSanthya, A. Jerina, P. Srinidhi, J.T. Walter, D. Brandon(2017)“Experimental Investigation on Self Compacting Concrete using Light Weight Aggregates.”International Journal of ChemTech Research,Vol.10, No.8, pp 517-525.

8. S.Barathan ,B.Gopinath(2013),“Evaluation of wood ash as a partial replacement of cement.”International Journal of Science,

Engineering and Technology Research,Vol.2, Issue 10, ISSN: 2278 – 7798. 9. P.Ramanathan ,I.Baskar , P.Muthupriya , R.Venkatasubramani(March,2013.).“Performance of Self- Compacting Concrete containing

different Mineral admixtures” KSCE Journal of Civil Engineering,Vol.17,No.2,pp.465-472.

67.

Authors: Venkateshwaran.A, Nandhini.K, Ponmalar.V

Paper Title: Performance of Self Compacting Concrete Containing Micro-Silica and Steel Fibre

Abstract: Self-compacting concrete (SCC) originated in the late 1980’s by Japense in order to compensate the

shortage of labour. The SCC is a special type of labour-friendly concrete that possess the ability to flow and

compact by its self-weight. When properly designed, it could save time, eliminates the need for vibration, better

compaction is produced compared to the conventional control mix. SCC contains more of binder content

consisting of higher cement content. This cement was replaced by micro-silica at varying percentage and also

steel fibres were used to improve the ductile nature. In addition to this, micro-silica have been used to improve

the strength and durability of concrete. Addition of silica to a concrete mix alters the cement paste structure.

Then the resulting paste contains more of the calcium-silicate hydrates and less of the weak and easily soluble

calcium hydroxides. Due to its smaller particle size distribution, they disperse among and separate the cement

particles. In the present study, the different mix ratio using steel fibres, micro-silica has been prepared and the

fresh and hardened properties of SCC has been studied.

Keywords: Micro-silica, Steel fibre, SCC, Water absorption.

References: 1. Ashtiani, Rajesh Dhakal and Allan Scott, “Seismic performance of high-strength self-compacting concrete in reinforced concrete

beam-column joints”, J. Struct. Eng., 2014, 140(5): 04014002. 2. EFNARC Specification & Guidelines for self-compacting concrete. English ed. Norfolk (UK):European Federation for Specialist

Construction Chemicals and Concrete Systems.

3. Ganesan, Bharati Raj and Shashikala, “Behaviour of Self-Consolidating Rubberized Concrete Beam-Column Joints”, ACI Materials Journal/November-December 2013.

4. Geethanjali C, MuthuPriya and Venkatasubramani, “Behaviour of HFRC exterior beam column joints under cyclic loading”,

International Journal of Science, Engineering and Technology Research, Vol. 3, No. 5, pp. 1568-1571.

5. Heidari, Ghaffari and Ahmadvand, “Properties of Self-compacting concrete incorporating alginate and nano silica”, Asian Journal of

Civil Engineering (BHRC) VOL. 16, NO. 1, 2015.

6. Jeevetha ,S.Krishnamoorthi and G.S.Rampradheep, “Study on strength properties of self-compacting concrete with micro silica”, International Journal of Innovative Research in Science, Engineering and Technology, ISSN: 2319-8753, Vol. 3, Issue 4, April 2014.

7. Maghsoudi.A.A, M. Maghsoudi, and M. Noori, “ Effect of Nano Particles on SCC”, Second International Conference on Sustainable

Construction materials and technologies, ISBN 978-1-4507-1488-4, June 2010 8. Manjunatha K, Nambiyanna B, R.Prabhakara, “Ductility Behaviour of External SFRSC Beam Column Joint- An Experimental Study”,

International Journal of Innovative Research in Science, Engineering and Technology, ISSN(Online) : 2319-8753,ISSN (Print) : 2347-

6710, Vol. 5, Issue 11, November 2016.

364-367

68.

Authors: Ramprakash K

Paper Title: Design, Analysis and Fabrication of a Microstrip Slot Antenna

Abstract: Antenna technology has come a long way in modern day electronics and communication world:

from being a wire to printed technology. Most of the communication advancement is due to the rapid

advancement in the field of antenna. High frequency electromagnetic signals are being used for communication

and telemetry purposes. In this paper a antenna is designed for working in microwave frequencies The objective

of this work is to design and simulate modern day advanced antenna and to obtain a better insight towards the

working of an antenna and its characteristics .To keep design minimalistic and fabrication easy,a microstrip slot

antenna is chosen.It is low profile simple to design and fabricate. Since microwave frequencies are being used

nowadays,it would be apt to learn and analyse how an antenna works in those frequencies .Hence the idea is to

368-372

design a mcirostrip slot antenna of resonant frequency 2.4 GHz,on a glass/FR4 substrate of 100mm,having a

slot length 43mm and a slot width 1mm,with a microstrip line feed and stub matching,analyse and study about

its characteristics,fabricate the design and test to see its conformance.

Keywords: Microstrip antenna, slot antenna, complementary antenna,patch antenna

References: 1. BALANIS, ANTENNA THEORY ANALYSIS AND DESIGN, 2ND ED, WILEY INDIA (P.) LTD. 2007.

2. G.KUMAR AND K.P.RAY,BROAD BAND MICRO STRIP ANTENNA,ARTECH HOUSE (2003)

3. T.Milligan,Modern antenna Design,2nd.EdJohnwiley &sons ,inc. (2005) 4. A.Lozada and S.Donglish,”Microstrip antenna for satellite communication” In International symposium on Antennas,propagation and

EM theory (2008)pp1-3

5. 4nec.http://home.ict.nl/arivoors/. 6. supernec.http:www.supernec.com

7. M.Chang and W.Weng, , “A printed multi Band slot Antenna for LTE/WLAN applications,”in IEEE International symposium on

antennas and propagation & USNC/URSI National Radio science Meeting,(2015) pp.1144-1145,. 8. KumeresanA.Ram prakash,pavithraP,”Design simulation and fabrication Of modified sierpenski Gasket Fractal antenna for wide

band Application”journal of advanced research in dynamical and Control systems.vol.9 Sp-16/2017 ,pp.1116-1125

9. Darwin R,IshwaryaG,”Dual Band MIMO antenna using Decoupling Slots for WLAN applications”journal of advanced research in dynamical and Control systems,vol.9, Sp-16,2017 ,pp.1138-1147.

10. R. Marudhachalam And GnanambalIlango,” Digital Topological Concepts Applied To Medical Image Processing”, International

Journal Of Pure And Applied Mathematics, Volume .116 ,No. 12 ,2017, pp.177-187.

69.

Authors: Ramprakash K, Loshni T, Aparna A P

Paper Title: Design, Simulate Analyze the Performance of Parallel Coupled Micro Strip Band Pass Filter at

1.5 GHz for GPS Applications

Abstract: In this trending generation, world is mainly focusing on system miniaturization, without affecting

the performance. GPS(Global Positioning System ) is a satellite navigation system, used to determine the

ground position. Radio Frequency (RF) filters used in this GPS receiver should be in compact size. One of the

RF transmission line structure is micro strip line structure, and it is the most preferable one because of its low

cost, compact size, less weight etc. In this work , a small sized parallel coupled microstrip band pass filter was

designed with the frequency of 1.5GHz lies in the L band and 200MHz frequency band. The simulation was

carried out by using the software, Advanced Design System 2016 (ADS). Easily available and cost effective

Fire Retardant 4 substrate with the dielectric constant of 4.4 was used to design the filter. The designed filter

meets the required insertion and return loss values.

Keywords: Parallel coupled microstrip line structure, Band pass filter, GPS, FR4, ADS 2010.

References: 1. H. W. Liu, Z. C. Zhang, S. Wang, L. Zhu, X. H. Guan, J. S. Lim, and D. Ahn, “Compact dual-band bandpass filter using defected

microstrip structure for GPS and WLAN applications,” Electron. Lett., vol. 46, no. 21, p. 1444, 2010.

2. X. S. Zhang, H. W. Deng, L. Zhang, Y. J. Zhao, and L. Qiang, “Compact dual-band BPF for GPS and WLAN with two dual-mode

stepped impedance resonators,” 2010 IEEE Glob. Mob.Congr.GMC’2010, vol. 5, pp. 6–8, 2010. 3. . Cheng and C. Yang, “Develop Quad-Band (1.57/2.45/3.5/5.2 GHz) Bandpass Filters on the Ceramic Substrate,” IEEE Microw.

Wirel. Components Lett., vol. 20, no. 5, pp. 268–270, 2010.

4. M. T. Islam and R. R. Azim, “Design of a Compact Dual-Band Band-Pass Filter for Global Positioning System and Fixed Satellite Applications,” IEEE 8th Int. Conf. Electr. Comput.Eng., vol. 1, no. 2, pp. 572– 574, 2014.

5. N. Kumar and M. Kumar, “Closely Spacified Wide Dual-Band Microstrip Band Pass Filter Using Coupled Stepped-Impedace Resonators,” IEEE Sponsered 2’nd Int. Conf. Electron.Commun.Syst. (ICECS ’2015), pp. 865–867, 2015.

6. P. K. Singh, A. K. Tiwary, and N. Gupta, “Design of Radial Microstrip Band Pass Filter with Wide Stop-Band Characteristics for GPS

Application,” Prog. Electromagn.Res., vol. 59, no.September, pp. 127–134, 2015. 7. S. S. Gao, H. L. Liu, J. L. Li, and W. Wu, “A Compact Dual-Mode Bandpass Filter for GPS , Compass ( Beidou ) and GLONASS,”

Millimeter-Waves, IEEE 10th Glob. Symp.2017, pp. 28–30, 2017

8. Kumar, K. Goodwill, A. K. Arya, and M. V Kartikeyan, “A Compact Narrow Band MicrostripBandpass Filter with Defected Ground Structure ( DGS ),” IEEE 2012 Natl. Conf. Commun., pp. 1–4, 2012.

9. S. Seghier, N. Benabdallah, N. Benahmed, F. T. Bendimerad, and K. Aliane, “Design and Optimization of Parallel Coupled

MicrostripBandpass Filter for FM Wireless Applications,” Comput. Technol. Int. J. IEEE, vol. 2, no. 1, pp. 39–43, 2012.

10. S. Yang, D. Cross, and M. Drake, “Design and simulation of a parallel-coupled microstripbandpass filter,” IEEE Southeastcon 2014,

pp. 1–2, 2014.

11. E. Ferh and H. Jleed, “Design, simulate and approximate parallel coupled microstripbandpass filter at2.4 GHz,” IEEE World Congr. Comput.Appl. Inf. Syst. WCCAIS 2014, no. 1, pp. 5–9, 2014.

12. M. B. PuspenduBikashSaha, Sourav Roy, “Compact Microstrip Parallel Coupled Bandpass Filter With A Centre Frequency of 2 .4

GHz Suitable for Bluetooth GPS communicatios,” IEEE 2nd Int. Conf. Signal Process.Integr.Networks, pp. 650–654, 2015. 13. R. A. Rahim, M. N. Junita, S. I. S. Hassan, and N. A. M. Damrah, “Microstrip Dual-band Bandpass Filter for ISM Band

Applications,” IEEE Int. Conf. Control Syst. Comput. Eng., no.November, pp. 281–286, 2015.

14. VipulDabhi, VedVyasDwivedi, “Analytical Study and Realization of Micro strip Parallel Coupled Band pass Filter at 2 GHz,” IEEE Int. Conf. Commun. Electron.Syst., pp. 2–5, 2016.

15. VipulDabhi, VedVyasDwivedi, “Parallel Coupled MicrostripBandpass Filter Designed and Modeled at 2 GHz,” IEEE Int. Conf.

Signal Process.Commun. Power Embed. Syst., pp. 461–466, 2016. 16. K.Ramprakash,P.pavithraD.Allinjoe,M.BhagavathiPriya,”A Low cost Quad band microstriplineBandpass filter for cellular ,C band

Downlink and WLan applications ”journal of advanced research in dynamical and Control systems.vol.9 Sp-16/2017 ,pp.1174-1180

17. KumeresanA.Ram prakash,pavithraP,”Design simulation and fabrication Of modified sierpenski Gasket Fractal antenna for wide band Application ”journal of advanced research in dynamical and Control systems,vol.9, Sp.16,2017 ,pp.1116-1125.

18. A.Kavitha, Anusiyasaral and P.Senthil,” Design Model of Retiming Multiplier For FIR Filter &its Verification”, International Journal

of Pure and Applied Mathematics,

373-375

70. Authors: Aparna.A.P, Loshni.T, K.Ramprakash

Paper Title: Interdigital Bandpass Filter for 2.5 GHz LTE Application: Design and Performance Analysis

Abstract: Microwave filter is an indispensable component in all types of communication systems. The most

desired features for filters thus designed are accuracy and satisfying degree of performance. The objective of

this paper is to design an Interdigitalbandpass filter operating at a frequency of 2.5 GHz. This filter is therefore,

suitable for LTE(Long Term Evolution) systems. The implementation of the filter is done using FR4 substrate

and the simulation of the filter is done using Keysight ADS (Advanced Design System) software. Parameters

such as insertion loss, returnloss and 3-dB bandwidth are measured for analyzing the performance of thefilter.

Keywords: LTE, Keysight ADS, Interdigital, Microwave filter.

References: 1. The analysis of the designed filter is done and the measured insertion loss and return loss are represented in the Fig. 3. The graph is

plotted with Gain on the Y-axis in dB while frequency is represented on the X-axis in GHz. The S-parameter S21 is used for

representing insertion loss whereas, S11 is for depicting return loss.

2. Mahmoud EL Sabbagh, and BaharakMohajer-Iravani Martin, "A Miniaturized Ultra-Wideband MicrostripFilInterdigital Capacitive Loading and Interresonator Coupling," IEEE,2012.

3. Z.N. Chen and Q.-X. Chu S.W. Wong, "Microstrip-line millimetre-wave bandpass filter using interdigital coupled-line,"

ELECTRONICS LETTERS, vol. Vol. 48, February2012. 4. Nafiul Islam and MerazulHaqueIstiaque Islam, "A Miniaturized Interdigital Hairpin MicrostripBandpass Filter Design," IEEE,2013.

5. Zhewang Ma, Luhong Zhang1, and Xuexia Yang Zaifeng Yang, "A Novel Miniature Ultra-Wideband Microstrip Filter Using a Short-

Ended Interdigital Coupled-Line Unit," IEEE International Symposium on Radio-Frequency Integration Technology,2014. 6. Senshen Deng, FengXu Chao Fang, "A Novel UWB Bandpass Filter Based on Double Interdigital Structure," IEEE,2014.

7. Manoj Kumar Meshram, S. P. Singh,PankajTripathiBhagirathSahu, "Design of MicrostripInterdigitalBandpass Filter with Suppression

of Spurious Responses for L-Band Wireless Communication Applications," IEEE,2015. 8. FengXu, and Ling Yang Chao Fang, "A UWB Periodic UC-PBG Structures," IEEE,2016.

9. C.-H. Hsu, J.-H. Chen, J.-C. Liu1, H.-H. Tung,C.-F. Tseng, S.-H. Huang, and C.-I. Hsu C.-H. Hsu, "Miniaturization Cross-coupled

Interdigital Filter Design Using High Permittivity Substrate," Progress In Electromagnetic Research Symposium (PIERS, August 2016.

10. Tung-Yi Hsieh, and Ching-Wen Tang Po-Lin Huang, "A Design of the Compact MicrostripBandpass Filter With a Wide Passband and

Broad Stopband," IEEE, 2016. 11. Pınar ÖztürkÖzdemirand GülfemBalasuFıratCeyhun

12. Karpuz, "Design of Fourth Order Dual-Mode Microstrip Filter by Using Interdigital Capacitive Loading Element with High

Selectivity," 46th European Microwave Conference, pp. 461-464, October 2016 13. [11]R. K. ChauhanArvind Kumar Pandey, "Miniaturized Dual- Band BPF Using Hairpin Loaded Interdigital Structure," International

Conference on Computing, Communication and Automation,IEEE, 2016.

14. [11].Pei-Yuan Qin, Y. Jay Guo, Xiao-Wei Shi Feng Wei, "Design of multi-band bandpass filters based on stub loaded stepped-impedance resonator with defected microstrip structure," IET Microwaves, Antennas & Propagation, vol. Vol. 10, no. Iss.2, pp. 230–

236, 2016.

15. Bing-ZhongWang, Member, IEEE, De-Shuang Zhao, and Ke Wu, Fellow, IEEE Qiao-Li Zhang, "A Compact Half- Mode Substrate Integrated Waveguide Bandpass Filter With Wide Out-of-Band Rejection," IEEE MICROWAVE AND WIRELESS COMPONENTS

LETTERS, vol. VOL. 26, no. NO. 7, JULY2016.

16. KumeresanA.Ram prakash,pavithraP,”Design simulation and fabrication Of modified sierpenski Gasket Fractal antenna for wide band

Application”journal of advanced research in dynamical and Control systems.vol9 Sp16,2017,pp.1116-1125

17. K.Ramprakash, P.pavithraD.Allinjoe, M.BhagavathiPriya,”A Low cost Quad band microstriplineBandpass filter for cellular ,C band

Downlink and WLan applications ”journal of advanced research in dynamical and Control systems.vol.9 No-16,2017,pp.1174-1180. 18. Anitha.N, C.Vijayalakshmi, “Organization and Implementation of Fuzzy Intuitionistic Algorithm for TravelingSalesman Problem”,

International Journal of Pure and Applied Mathematics, Volume 116 No. 12 2017, pp. 229-237.

376-378

71.

Authors: S.Arun Kumar, S.Sasikala

Paper Title: Towards Enhancing the Performance of a Stress Detection System

Abstract: Stress has now become a ubiquitous part of the fast-moving life, due to which many people are

affected. Stress, is identified by physical signs of tension, like irritation, anger, nervousness and sadness at an

exceeding level. A stressed indi- vidual has an abnormal heart rate, blood pressure and breathing. This may

cause major variations in mood, productive lifestyle, and quality of life. This work concentrates on detecting the

stress of a person by using the time series analysis of Electromyogram (EMG) , Galvanic Skin Response (GSR

hand and foot), Electro- cardiogram (ECG) levels collected from physionet database. The obtained data is

analysed and a dataset with healthy and stressed population is prepared. This work concentrates on improving

the performance of a stress detection system using Support Vector Machine classifier. The Performance of the

proposed system is measured using metrics like accuracy, sensitivity and specificity. A significant improvement

in the metrics of the proposed system claims that this method will aid in diagnosing the stress rate of a

person and aftermath necessary steps required to reduce the stress of thebeing.

Keywords: Stress,Physiological signals, time-series analysis, feature transformation, feature

reduction,intelligent system, wear- ables

References: 1. KrishnamoorthyEnnapadam, “The Stress Vortex”, The Hindu, Web, Sep 2016. 2. Chethan Kumar, “One student kills self every hour in India”, The Times of India, Web, Jan2018.

3. Jayanth A S, “Stress among medicos goes undiagnosed”, The Hindu, Web, Nov2017.

4. Sysoev, Mikhail, Andrej Kos, and MatevPoganik, “Noninvasive stress recognition considering the current activity,” Personal and Ubiquitous Computing, vol.19, no.7, pp.1045-1052,2015.

5. Healey, Jennifer A., and Rosalind W. Picard, “Detecting stress during real-world driving tasks using physiological sensors,” in IEEE

Trans- actions on intelligent transportation systems,vol. 6, no. 6, pp. 156-166, 2005. 6. Sano, Akane, and Rosalind W. Picard,“Stress recognition using wearable sensors and mobile phones,” in Affective Computing and

Intelligent Interaction (ACII), Humaine Association Conference on. IEEE,2013pp. 671-676. 7. Zhai, Jing, and Armando Barreto., “Stress detection in computer users based on digital signal processing of noninvasive

physiologicalvari- ables,” in Engineering in Medicine and Biology Society, 2006. EMBS’06. 28th Annual International Conference of

the IEEE, pp. 1355-1358.IEEE, 2006. 8. Bakker, Jorn, Leszek Holenderski, Rafal Kocielnik, Mykol Pechenizkiy, and Natalia Sidorova, “Stress at work: From measuring stress

379-383

to its understanding, prediction and handling with personalized coaching,” in Proceedings of the 2nd ACM SIGHIT International

health informatics symposium, pp. 673-678. ACM,2012.

9. Goldberger,A.L.,Amaral,L.A.,Glass,L.,Hausdorff,J.M.,Ivanov, P. C., Mark, R. G., Stanley, H. E., “ Physiobank, physiotoolkit, and physionet,” in Circulation, 101(23), pp.e215-e220, 2000.

10. Chuah, MooiChoo, and Fen Fu, “ECG anomaly detection via time series analysis,” in International Symposium on Parallel and

Distributed Processing and Applications, Springer, Berlin, Heidelberg, 2007 pp.123- 135.

11. Mehta, Chetan, and Matthew Miller, “Chaos analysis for EKG time series data”Dartmouth College, Department of Mathematics,2007.

12. Wijsman, Jacqueline, Bernard Grundlehner, JulienPenders, and HermieHermens,“ Trapezius muscle EMG as predictor of mental

stress,” in Wireless Healthpp. 155-163. ACM,2010. 13. Villarejo, Mara Viqueira, Begoa Garca Zapirain, and Amaia Mndez Zorrilla, “Astress sensor based on Galvanic Skin Response (GSR)

controlledbyZigBee,”inSensors,2012,vol.5,pp.6075-6101.

14. Fernandes, A., Helawar, R., Lokesh, R., Tari, T.and Shahapurkar, A.V., “ Determination of stress using blood pressure and galvanic skin response,” in Communication and Network Technologies (ICCNT), InternationalConferenceon,(pp.165-168),IEEE2014.

15. Fodor,I.K.,“Asurveyofdimensionreductiontechniques”(No. UCRL- ID-148494). Lawrence Livermore National Lab.,CA(US),2002.

16. Park, J.H., Sriram, T.N. and Yin, X., “ Dimension reduction in time series” in StatisticaSinica, pp.747-770,2010. 17. Soman, K.P., Loganathan, R. and Ajay, V., “Machine learning with SVM and other kernel methods”,PHILearningPvt.Ltd.,2009.

18. C.J.C. Burges, “A Tutorial on Support Vector Machines for Pattern Recognition”, DataMining and Knowledge Discovery,1998.

19. Raschka, Sebastian, “An Overview of General Performance Metrics of BinaryC lassifierSystems”,arXivpreprint:1410.5330(2014). 20. Sokolova, Marina, Nathalie Japkowicz, and Stan Szpakowicz, “Beyond accuracy, F-score and ROC: a family of discriminant

measures for performance evaluation” in Australasian Joint Conference on Artificial Intelligence Springer Berlin Heidelberg,2006.

21. Sasikala, S., and M. Ezhilarasi, “Fusion of two view binary patterns to improve the performance of breast cancer diagnosis” in Communicationand Signal Processing (ICCSP), 2017 International Conference on, pp. 0792-0796. IEEE,2017.

22. S. Sasikala, M. Bharathi, M. Ezhilarasi, M. RamasubbaReddy and S. Arunkumar, “Fusion of MLO and CC View Binary

Pat- terns to Improve the Performance of Breast Cancer Diagnosis,” in Current Medical Imaging Reviews, Advance online publication doi: 10.2174/1573405614666180104162408.

23. PradipDadasoPange, SankarMurugesan,” Investigate Robot With Remote Surveillance System, Metaldetector&Speed Control Using

Zigbee&Arduino”,International Journal Of Pure And Applied Mathematics, Volume 116 No.12,2017, pp. 249-256 24. L.Latha, K.Gayathri Devi,” A New Approach To Image Retrieval Based On Sketches using Chamfer Distance”, Journal Of Advanced

Research In Dynamical And Control Systems, Vol.9No 6,2017, Pp. 1959-1968.

72.

Authors: M.Bharathi, A.Amsaveni, B. Manikandan

Paper Title: Speed Breaker Detection Using GLCM Features

Abstract: Road accidents are increasing worldwide, that leads to death, injuries and vehicle damages. Most

of the accidents happen due to the improper warning sign and unnoticeable speed breakers on the road

especially during night. Identification and notification of road signs and speed breakers to the driver at proper

time is very important to avoid accidents. In this paper, speed breaker identification using Gray Level Co-

occurrence Matrix (GLCM) features is proposed. This method has three stages namely pre-processing, feature

extraction and classification. Noise removal, Resizing the image and gray scale conversion has been done as a

part of pre-processing. In the feature extraction step, the spatial relationship between the pixels is obtained.

GLCM features are the second order statistical features of the image. These features includes correlation,

Angular Second Moment, Entropy, Homogeneity and contrast. In this paper, features are consider as the shape,

texture and feature statistics. Neural Network based classifier is used in the third stage to identify the presence

of speed breaker. The performance of the classifier is evaluated by calculating the confusion matrix.

Keywords: speed breaker, image processing, GLCM, feature extraction.

References: 1. M. Afrin, M. R. Mahmud, and M. A. C. Fernández et al., “Free space and speed humps detection using lidar and vision for urban

autonomous navigation,” in proceedings IEEE Inteligent Vehicle Symposium, 3-7 June 2012, pp. 698–703. 2. W. Zhang, “LIDAR-based road and road-edge detection,” in proceedings IEEE Inteligent Vehicle Symposium, 16th August 2010, pp.

845–848. 3. B. Hull et al., “CarTel : A Distributed Mobile Sensor Computing System,” in Proceedings of the 4th International Conference on

Embedded Networked Sensor Systems, Colorado, USA, October 31 - November 3, 2006.

4. J. Eriksson, L. Girod, B. Hull, R. Newton, S. Madden, and H. Balakrishnan, “The pothole patrol: using a mobile sensor network for road surface monitoring,” in proceeding 6th International Conference on Mobile Systems Applications and Services( MobiSys ’08)

Breckenridge, U.S.A., June 2008.

5. G. Chugh, D. Bansal, and S. Sofat, “Road Condition Detection Using Smartphone Sensors: A Survey,” International Journal of Electronic and Electrical Engineering, vol. 7, no. 6, 2014, pp. 595–602.

6. P. Mohan, V. N. Padmanabhan, and R. Ramjee, “Nericell: Rich Monitoring of Road and Traffic Conditions using Mobile

Smartphones,” in Proceedings 6th ACM Conference on EmbeddedNetworked Sensor Systems, SenSys 2008, Raleigh, NC, USA, November 5-7, 2008.

R. Bhoraskar, N. Vankadhara, B. Raman, and P. Kulkarni, "Wolverine: Traffic and road condition estimation using smartphone

sensors," 4th Internaional Conference on Communication Systems and Networks, COMSNETS 2012, 13th Feb 2012,Bangalore, India. 7. P.V.P.Tonde, A. Jadhav, S. Shinde, A. Dhoka, and S. Bablade, "Road Quality and Ghats Complexity analysis using Android sensors,"

International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 3, March 2015, pp. 101-104.

8. S.Pargaonkar,D.Jawalkar, R.Chate, S. Sangle, M. D. Umale, and S. S. Awate, “Safe Driving Using Android Based Device,” International Journal of Engineering Trends and Technology (IJETT) – Volume 18 Number3 - Dec 2014, pp. 151–154.

9. K. K. M. Vamsee, K. Vimalkumar, R. E. Vinodhini, and R. Archanaa, “An early detection-warning system to identify speed breakers

and bumpy roads using sensors in smartphones,” International Journal of Electrical and Computer Engineering, vol. 7, no. 3, 2017, pp. 1377–1384,

10. K. K. M. Vamsee, K. Vimalkumar, R. E. Vinodhini, and R. Archanaa, “An Early Detection-Warning System to Identify Speed

Breakers and Bumpy Roads Using Sensors in Smartphones,” Inernational Journal of Electrical and CompuerEngineering,vol. 7, no. 3, June 2017, pp. 1377–1384

11. K. Yagi, “Extensional Smartphone Probe for Road Bump Detection,” in proceedings 7th ITS World Congress, Busan, 25-29 October

2010. 12. R. K. Goregaonkar, “Assistance to Driver and Monitoring the Accidents on Road by using Three Axis Accelerometer and GPS

System,” Inernational Journal of Electrical and Compuer Engineering., vol. 5, no. 4, July2014, pp. 260–264.

13. M.Fazeen, B. Gozick, R. Dantu, M. Bhukhiya, and M. C. González, “Safe driving using mobile phones,” IEEE Transactions on Intelligent Transportation Systems, Volume: 13, Issue 3, Sept. 2012 pp. 1462–1468

14. D.V.M.Prof. TruptiDange, “Analysis of Road Smoothness Based On Smartphones,” International Journal of Innovative Research in

384-389

Computer and CommucnaitionEngineering, vol. 3, no. 6, June 2015, pp. 5201–5206.

15. M. Jain, A. Singh, S. Bali, and S. Kaul, “Speed-Breaker Early Warning System,” in proceedigns 6th NSDR, Boston, 15th June 2012.

16. A.L.J.Martin,C.Cruz, “Speed booms detection for a ground vehicle with computer vision,” ADVANCES in MATHEMATICAL and COMPUTATIONAL METHOD, 2010, pp. 258–264.

17. W. Devapriya, C. N. K. Babu, and T. Srihari, “Advance Driver Assistance System (ADAS) - Speed bump detection,” 2015 IEEE

International Conference on Computational Intellignce and Computing Research, 10-12 Dec 2015.

18. D.Singh and K. Kaur, “Classification of Abnormalities in Brain MRI Images Using GLCM , PCA and SVM,” International Journal of

Engineering and Advanced Technology, vol. 1, no. 6, Augusr 2012, pp. 243–248.

19. P.Mohanaiah, P.Sathyanarayana, and L. Gurukumar,“ImageTexture Feature Extraction Using GLCM Approach,” International Journal of Science and Research Publications, Volume 3, Issue 5, May 2013, pp. 1–5.

20. H. B. Kekre, S. D. Thepade, A. K. Sarode, and V. Suryawanshi, “Image Retrieval using Texture Features extracted from GLCM, LBG

and KPE,” International Journal of Computer Theory and Engineering, Vol. 2, No. 5, October, 2010, pp. 695–700. 21. N. Bagri and P. K. Johari, “A Comparative Study on Feature Extraction using Texture and Shape for Content Based Image Retrieval,”

International Journal of Advanced Science and Technology, Vol.80 (2015), pp.41-52

22. P. M. Arabi, G. Joshi, and N. VamshaDeepa, “Performance evaluation of GLCM and pixel intensity matrix for skin texture analysis,” Perspectives in Science, vol. 8, September 2018, pp. 203–206.

23. Manikandan B, M. Bharathi, “SPEED BREAKER DETECTION USING BLOB ANALYSIS, ” International Journal of Pure and

Applied Mathematics, Volume 118, No. 20, 2018, 3671-3677. 24. MoupuriSatish Kumar Reddy,L.Devasena,NirmalaJegadeesan, “Optimal Search Agents Of Dragonfly Algorithm For Reconfiguration

Of Radial Distribution System To Reduce The Distribution Losses” International Journal of Pure and Applied Mathematics, Volume

116 No. 11 2017, 41-49. 25. V.Senthilkumar, B.Vinoth Kumar, P.Saranya, “Normalized Page count And Text based Metric For Computing Semantic Similarity

Between Web documents”, Journal Of Advanced Research In Dynamical And Control Systems,Vol.-9, Sp– 6 ,2017,Pp1865-1875

26. Dr. S. Veni, “Image Processing Edge Detection Improvements And Its Applications International Journal of Innovations in Scientific and Engineering Research (IJISER), Vol- 3 ,Issue 6 JUN 2016,pp51-5

27. Danti, J. Y. Kulkarni, and P. S. Hiremath, “An Image Processing Approach to Detect Lanes, Pot Holes and Recognize Road Signs in

Indian Roads,” International Journal of Modeling and Optimization Vol. 2, No. 6, December 2012, pp. 658–662

73.

Authors: Udhaya Kumar R, Kavitha K

Paper Title: Canoe Tool for Ecu Automated Communication Testing

Abstract: This paper presents an automated testing of Brake ECU (Electronic Control Unit) – ESP (Electronic

Stability Program) communication using canoe tool. Today the number of ECU’s in a car is getting more and

more. Besides inner ECU to ECU communication, vehicle to vehicle communication is necessary for the

efficient way of vehicular communication. The vehicular communication must be highly responsive and

accurate. So ECU testing is compulsory to ensure the efficiency and safety of a vehicle. Testing of an ECU in

all aspects like mapping and monitoring of the inputs and outputs with other ECU’s is important. During testing

the simulation of all loads and sensors associated with that ECU must be ensured perfectly. Manual testing of

these ECU with all these necessary condition is a time consuming process. Vector Tool (VT) help in this need

of automated communication testing of an ECU. ECU inputs and outputs for functionality related testing with

CANoe is done through the VT. Other ECUs in a car can be simulated using CANoe while testing ECU is

compatible for all development stages, due to its high scalability and flexibility. CANoe testing provides high

accuracy, reusability and easy way of testing. This total environment is called as Office Test Bench (OTB)

where all these vector CANoe box, power supply, ECU, application container (software build), continuous Test

framework, master PC (where CANoe software is installed) all are embedded. This setup makes user to test

ECU’s very easily and effectively. Basic tests like validation of diagnostic services can be generated

automatically in the test configuration tool while complex testing requires manual generation of test cases using

script. The test environment is then run on the ECU and a test report is generated for analysis. The test

environment is then delivered to a Continuous testing (CT) server and executed on a Continuous test bench

(CTB) for every software build. Test reports are stored back in CT server and can be customized to trigger mail

at test failure.

Keywords: ECU (Electronic Control Unit), CANoe, OTB (Office Test Bench), AUTOSAR (Automated Open

System Architecture), CTB (Continuous Test Bench), CT (Continuous Test)

References: 1. Wajape, Mahesh, and Nithin Bhaskar Elamana, "Study of ISO 14229-1 and ISO 15765-3 and implementation in EMS ECU for

EEPROM for UDS application," In Vehicular Electronics and Safety (ICVES), IEEE International Conference on, pp. 168-173, IEEE,

December 2014.

2. AUTOSAR: www.autosar.org. 3. P. E. Rieth, S. A. Drumm, and M. Harnishfeger, Electronic Stability program: The Brake That Steers. Landsberg am Lech, Germany:

Verlag Moderne Industries, 2002.

4. Florin Prutianu, Viorel Popescu, Pop Calimanu Ioana Monica, Validation System for Power Supply Module Part of Automotive ECUs, IEEE, 2012.

5. Xiaofeng Yin, Jingxing Tan, and Lei Li, Development of a Real-time Monitoring System for ECU based on CAN Bus, IEEE,2010.

6. Krisztian Enisz, Denes Fodor, Istvan Szalay, and Laszlo Kovacs, “Reconfigurable Real-Time Hardware in-the-Loop Environment for Automotive Electronic Control Unit Testing and Verification", IEEE Instrumentation and Measurement Magazine, August 2014.

7. Shruthi T S and K H Naz Mufeeda, “Using VT System for Automated Testing of ECU”, IOSR Journal of Computer Engineering

(IOSR-JCE), 2016. 8. Rajashree M Bhide, Pratiksha Raut, Rohini S Jadhav, Vaishali S Kulkarni and Sunil L Tade, “Test Automation Tool for Electronic

Control Unit’s Software Testing”, International Journal of Scientific & Engineering Research, April-2016.

9. Thilagam S and Karthigaikumar P, "A Study of an Engine Management System For Noise Cancellation Using Electronic Control Unit For Modern Automobiles", i-manager’s Journal on Embedded Systems, Vol. 4 l No. 4 l November 2015 - January 2016.

10. Saravanan .M, K.Pradeep Mohan Kumar,Aramudhan M, “Broker Based Trust Management Model for Ranking the Cloud Providers in

Federated Architecture”’ International Journal of Pure and Applied Mathematics, Volume 116 ,No. 11, 2017, 21-29. 11. K.Malarvizhi, R.Kiruba, “A Novel Method Of Supervision And Control Of First Order Level Process Using Internet Of Things”,

Journal of Advanced Research in Dynamical and Control Systems ,Vol.-9,Sp– 6 ,2017,pp1876-1894.

12. Bassa Siddarth Nagamurty, S.Navaneethan,“ Design And Development Of Intelligent 3 Phase Changer”, International Journal of Innovations in Scientific and Engineering Research (IJISER),Vol-1,Issue-7,JUL 2014,pp381-385.

390-392

74.

Authors: K. Thilagavathi, S.G.Gayatri, M.N.AayishaRumaana, V.Abhirami

Paper Title: Smart Glove to Monitor Parkinson’s Patients

Abstract: The smart glove to monitor the Parkinson's patients is an efficient system to monitor the tremors

and harshness levels of that patient. Parkinson disease (PD) patients hurt from a resting tremor, severity,

bodykinesia, gait difficulty and postural instability. Commonmethod of evaluatingthe symptoms however,

confide thickly on patient self-accessing, which frequentlyfall to contribute the essential details. Wearable

accelerometer is a major tool which can identify and justly definethe movement anomaliesin patient's

atmosphere as well as in the clinical setting. This model is unified into a smart glove where these

accelerometers are embedded to record the movements and tremors to estimate the cardinal motor symptoms of

PD (tremor and rigidity of hand and arm). The gloves are relatedto smart phones, which proceeds the

information and transfer it to the neurologists in their offices. Moreover, the system helps the doctors to control

the treatment plan of the patient every day, assuring that medication is working perfectly and eradicating the

obligationfor patients to make stressful clinical visits regularly.

Keywords: smart glove, parkinson disease, symptoms, wearable accelerometers, Tremor level detection.

References: 1. University of Rhode Island. "New smart gloves to monitor Parkinson's disease patients."ScienceDaily.ScienceDaily, 21 October 2016.

2. Bryan Lieber; Blake E.S.Taylor; GeoffAppel boom; GuyMcKhann; Sander ConnollyJr; Motion Sensors to Assess and Monitor

Medical and Surgical Management of Parkinson Disease; August 2015.

3. HoudeDai ;Pengyue Zhang and Tim C. Lueth; Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement

Unit; Published: 29 September 2015.

4. Prasad RKA, Babu SS, Siddaiah N and Rao KS; A Review on Techniques for Diagnosing and Monitoring Patients with Parkinson’s Disease; J BiosensBioelectron 7: 203. doi:10.4172/2155-6210.1000203.

5. Lauren Plant, Berly Noriega, ArjunSonti, Nicholas Constant, and KunalMankodiya; Smart E-Textile Gloves for Quantified

Measurements in Movement Disorders; University of Rhode Island Kingston, RI, USA,2016. 6. GuoenCai, YujieHuang ,ShanLuo ,Zhirong Lin ,Houde Dai and Qinyong Ye; Continuous quantitative monitoring of physical activity

in Parkinson’s disease patients by using wearable devices: a case-control study; 28 June 2017.

7. Natty Jumreornvong ;GyroGlove: Wearable Treatment Solution For Hand Tremors; 23 Feb, 2016 . 8. GyroGlove: Wearable Treatment Solution For Hand TremorsBy Natty Jumreornvong 23 Feb, 2016 Assistive Technology for HD.

9. Chaudhuri, K.R.; Ondo, W.F. Handbook of Movement Disorders; Springer Healthcare Ltd.: London, UK, 2009; pp. 1–2.

10. Louis, E.D.; Ferreira, J.J. How common is the most common adult movement disorder update on the worldwide prevalence of essential tremor. Mov.Disord. 2010, 25, 534–541.

11. Crawford, P.; Zimmerman, E.E. Differentiation and diagnosis of tremor. Am. Fam. Physician. 2011, 83, 697–702.

12. Salarian, A.; Russmann, H.; Wider, C.; Burkhard, P.R.; Vingerhoets, F.J.G.; Aminian, K. Quantification of tremor and bradykinesia in Parkonson’s disease using a novel ambulatory monitoring system. IEEE Trans. Biomed. Eng. 2007, 54, 313–322.

13. M.Alamelu.;RamalathaMarimuthu,” A survey on healthcare and social network collaborative service utilization using internet of

things”,Journal of Advanced Research in Dynamical and Control Systems, Vol9Sp– 14 ,2017,.pp-1010 – 1030. 14. M. Manikantan, Lakshmana Kumar Ramasamy, M. Amala Jayanthi. ”Improvising the Web search results using enhanced Lingo

algorithm in big data analysis for health care”,.Journal of Advanced Research in Dynamical and Control Systems Vol 9SP14

,2017,.pp-991– 1001. 15. G. Ramakrishnan.;J.Srinivasan.;R.Niveda and S. Gowtham. Study of Kenaf-cotton blended yarn for the development of sustainable

textiles. Asian Journal of Microbiology, Biotechnology & Environmental sciences. Vol 19, Nov. Suppl, issue 2017; pp-118-121.

16. V. Krishnaveni and SrinivasanJaganathan. Investigation of Phytochemical and Anti- Bacterial Activity on RhizophoraApiculataEthanolic extract for Medical Textile Applications. Asian Journal of Microbiology, Biotechnology &

Environmental Sciences.Vol 19, Nov. Suppl, Issue 2017; pp-8-11.

17. R.KrishnaMoorthy,S.MeenaPriyadarshini, ”Weakly Generalized LocallyClosed Sets In IntuitionisticFuzzy Topological Spaces”, International Journal Of Pure And Applied Mathematics, Volume 116 No. 12 2017, pp.219-227.

393-396

75.

Authors: Amsaveni, M. Bharathi, P.J.Phavithra

Paper Title: Gain Enhancement of a Square patch antenna using EBG Structure

Abstract: In this research work, the gain of a square shaped microstrip antenna has been enhanced using an

electromagnetic bandgap (EBG). The dimension of the proposed antenna is 57x57x1.6 mm3. The proposed

square patch antenna is simulated using commercially available FR4 substrate whose dielectric constant is about

4.7. The proposed antenna resonates at ISM band of 2.45 GHz. The antenna is powered by 50Ω transmission

line using the microstrip feedline structure. The gain of this antenna is improved by 3.5 dBi from that of a

conventional antenna. The antenna parameters such as radiation pattern, return loss, VSWR and gain have been

evaluated. The antenna is designed and simulated on Computer Simulation Technology (CST) microwave

studio.

Keywords: Square patch, Electromagnetic Bandgap, microstrip feedline, Gain.

References: 1. Amsaveni, “Antennas and Wave Propagation”. Anuradha Publications, Chennai, 2015. 2. Jackson David R, AlexopoulosNicolaos G, ‘ Gain enhancement methods for printed circuit antennas’ IEEE Transaction on Antennas

and Propagation, vol.33,pp.976–87,1987.

3. Lee Kai-Fong, Ho KY, DaheleJashwant S, ‘Circular Microstrip antenna with an Air Gap’. IEEE Transaction on Antennas and Propagation ,vol.32,pp.880–4,1984.

4. Abboud F, Damiano JP, Papeirnik, ‘A new model for calculating the input impedance of coax-fed circular microstrip antennas with

and without air gaps’, IEEE Transaction on Antennas and Propagation,vol.38:1882–5,2014. 5. Kokotoff DM, Waterhouse RB, Britcher CR, Aberle JT. ‘Annular ring coupled circular patch with enhanced performance’, Electron

Letters,vol.33,pp.2000–1,2015. 6. Llombart N, Neto A, Gerini G, de Maagt P ‘Planar circularly symmetric EBG structures for reducing surface waves in printed

antennas’ IEEE Transaction on Antennas and Propagation,vol.53,pp.3210–8,2012.

7. Part Y-J, Herchlein A, Wiesbeck W, ‘A photonic bandgap structure for guiding and suppressing surface waves in millimeter-wave antennas’ IEEE Transaction on Antennas and Propagation,vol.49,pp.1854–7,2007.

397-400

8. Ashyap, A. Y. I., Zainal Abidin, Z., Dahlan, S. H., Majid, H. A., Shah, S. M., Kamarudin, M. R., &Alomainy, A, ‘Compact and Low-

Profile Textile EBG-Based Antenna for Wearable Medical Applications’. IEEE Transcation on Antennas and Wireless Propagation

Letters, vol. 16(c), 2550–2553,2017. 9. Sievenpiper D, Zhang L, Broas RFJ, Alexopoulos NG, Yablonovitch E, ‘High-impedance electromagnetic surfaces with a forbidden

frequency band’. IEEE Transaction on Microwave Theory Tech,vol.47,pp.2059–74,2004.

10. Ashap, A. Y. I., Abidin, Z. Z., Dahlan, S. H., Majid, H. A., Yee, S. K., Saleh, G., &Malek, N. A. ‘Flexible Wearable Antenna on

Electromagnetic Band Gap using PDMS substrate’ vol.15(3),pp. 9–12, 2017.

11. RegiSaral, V. Lavanya, A. Amsaveni, “A Triangular Patch Antenna for Wireless Applications” , International Journal of Advanced

Research in Electronics and Communication Engineering (IJARECE), Volume 7, Issue 3, ISSN: 2278 – 909X, 2018.

76.

Authors: R.S.Sandhya Devi, Vijaykumar VR , M.Muthumeena

Paper Title: Waste Segregation Using Deep Learning Algorithm

Abstract: In 2017, India is in 177th position of the Green ranking in World Economic Forum. Due to poor

handling of air pollution and waste management, India has moved from 141st position to 177th position. With

the emerging smart city development across the cities in India, Smart Garbage Management system is the need

of the hour. It is estimated that the generated waste is more than 2.0 billion tones. The existing way of garbage

management system in India involves waste collection from homes and industries and dumping into dump

yards. The segregation of solid waste is completely done by manual laborers which is less efficient, time-

consuming and not completely feasible due to large amount of waste. This paper proposes an automated waste

classification system using Convolution Neural Network (CNN) algorithm, a Deep Learning based image

classification model used to classify objects into bio and non-biodegradable, based on the object recognition

accuracy in real-time. This algorithm is suitable for a large amount of waste segregation process. Python index

package of spyder is used to identify and classify the waste material in real-time through webcam. In this paper,

the first phase of the waste segregation process is carried out where initially the system is able to detect the

object provides the relative match percentage of each object. Open source software libraries such as Tensor flow

and Spyder is used for this process

Keywords: Convolution Neural Network, Tensorflow, waste segregation

References: 1. Waste Management in India - Shifting Gears, been prepared by ASSOCHAM in association with PwC India, March 2017.

2. Ashwini D. Awale et al., “Automated Waste Segregator”, Journal of Information, Knowledge and Research in Electronics and Communication Engineering, ISSN: 0975 – 6779, Nov 16 to 0ct 17, Volume – 04, Issue – 02.

3. Boudhayan Dev et al., “Automatic Waste Segregation using Image Processing and Machine Learning”, International Journal for

Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; Volume 6, Issue V, May 2018. 4. Andreas Kolsch et al., “Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines”, Nov. 2017.

5. Stefan van der Walt et al., “scikit-image: image processing in Python”, PeerJ 2:e453; DOI 10.7717/peerj.453.

6. Lyudmil Vladimirov, “TensorFlow setup Documentation”, March 2018. 7. Object detection demo imports Model Preparation -

GitHub,https://github.com/tensorflow/models/files/1313428/gpu_output_differences.pdf

8. Protocol Buffers – GitHub, https://github.com/google/protobuf 9. J. Woodhouse, “Big, big, big data: higher and higher resolution video surveillance,” technology.ihs.com, January 2016.

10. Mathankumar M., Suryaprakash S., Thirumoorthi P., Rajkanna U, Development of smart car security system using multi sensors,

International Journal of Pure and Applied Mathematics (IJPAM), 117(22), pp. 19-23, 2017. 11. L.Latha, K.Gayathri Devi,”A New Approach To Image Retrieval Based On Sketchesusing Chamfer Distance”, Journal Of

Advanced Research In Dynamical And Control Systems, Vol. 9. Sp– 6 / 2017, Pp.1959-1968.

12. K. Pradeep Mohankumar,M.Saravanan, Andm.Aramuthan,” Hybrid Network Intrusion Detection System Based On Gann Models”, International Journal Of Pure And Applied Mathematics, Vol.116 ,No. 11 ,2017, pp.31-39

13. k.Tharani Priya, v.Karthikeyan,” Detect The Incredible Action In Eventful Environments Using Swarm Interlligence”, International

Journal Of Innovations In Scientific And Engineering Research , Vol.4, Issue.1, 2017, Pp.36-39.

401-403

77.

Authors: Dinesh Kumar K, Karunamoorthy, RaniThottungal

Paper Title: Real Time Monitoring System: Implementation of Face Detection and Recognition Algorithm

Abstract: Face detection and recognition is used in biometric applications to identify the faces in real time.

It is compare with the stored database. The objective of this paper is to develop a simulation model. To create a

real time hardware monitoring system. It also based on an FPGA platform. The canny edge detection algorithm

is used to detect the face edges in real time. The MATLAB used for simulation. The hardware platform can be

developed based on altera DE1-SoC development board. An Personal computer monitor and 5 mega pixel

TRDB-D5M CMOS camera also used for hardware setup. Verilog HDL used for the programming. The

hardware implementation was also based on the Quartus Prime Lite Edison. The canny edge detection algorithm

also used here. The alarm system depends on end result of the system.

Keywords: Quartus Prime, FPGA, edge detection, image processing, Open Computer Vision, TRDB-D5M

camera and DE1- SoC board.

References: 1. V. Torre and T. A. Poggio, “On edge detection,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 8, no. 6.1986,

pp. 147– 163. 2. M. Setayesh, M. Zhang, and M. Johnston, Effects of static and dynamic topologies in Particle Swarm Optimization for edge detection

in noisy images,, 2012.

3. J. Canny, “A computational approach to edge detection,” IEEE Trans- actions on Pattern Analysis and Machine Intelligence, vol. 8, no. 2, pp. 679–698, 1986.

4. T. Shimada, F. Sakaida, H. Kawamura, and T. Okumura, “Application of an edge detection method to satellite images for

distinguishing sea surface temperature fronts near the japanese coast„” Remote Sensing of Environment, vol. 98, no. 1, pp. 21–34,

2005.

5. Kazerooni, A. Ahmadian, N. D. Serej, H. S. Rad, H. Saberi,H. Yousefi, and P. Farnia, Segmentation of brain tumors in MRI

404-408

images using multi-scale gradient vector flow,, 2011.

6. Siliciano, L. Sciavicco, L. Villani, and G. Oriolo, “Robotics: Model- ing, planning and control,” pp. 415–418, 2010.

7. Z. Hocenski, S. Vasilic, and V. Hocenski, Improved Canny Edge Detec- tor in Ceramic Tiles Defect Detection,, 2006, 3328 –3331. 8. “A shang-hung lin, ph.d.media corporation “introduction to face recog- nition technology”,” informing science special issue on

Multimedia informing technologies-Part, vol. 2, no. 3, p. 1, 0.

9. “Shijiezhang “video- based face recognition technology for automobile security”,” 2010, 10] RongBao Chen.

10. AttaullahKhawaja and M. Hamza&Arsalan, Anum “Keyless Car Entry through Face Recognition Using FPGA”, 2010.

11. B.Karunamoorthy,S.P.SethuD.Somasundareswari, “Fault Detec- tion Using Image Processing Technique for Fabric”. Christian

College engineering & technology. 12. R. Srinivasan, K. Anupama, and S. K. Suneeta, [14] FPGA Based ASM implementation for CCD Camera Controller. Indian Institute

of, 2009.

13. B.karunamoorthy, jayasudhad.somasundareswari, “design and implementation of a system for image based automatic detection and counting of vehicles”,” International Journal of Applied Engineering Research.

14. K. T. Gribbon, D. G. Bailey, and A. Bainbridge-Smith, ““development issues in using fpgas for image.” New: Zealand.

15. Study and Comparison of Various Image Edge Detection Techniques, Raman Maini 16. K. Indira Devi, dr. S. N. Deepa,” Classification Of Cardiac Arrhythmia Using Artificial Neural Network With Optimization

Algorithm”, International Journal Of Innovations In Scientific And Engineering Research, Vol. 3, Iss.1, 2016, Pp.1-7.

17. T. Karuppusamy, C. Velmurugan, S. Saran, K. SukanthanBabu,” Investigation On The Microstructure And Wear Characteristics Of Heat Treated Hybrid Aluminium Composites”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9,Sp– 6,

2017,Pp.1895-1912.

18. M.Mohanraj And G.Anushree,” Design Of Upqc Based On Modular Multilevel Matrix Converter For Mitigation Of Voltage Sag And Current Harmonics”, International Journal Of Pure And Applied Mathematics, Vol.116, No. 11, 2017, Pp.131-139.

19. A. Goshtasby, “and 3-d image registration: for medical, remote sensing, and industrial applications,” pp. 34–39, 2005.

20. E. Nelson, “Implementation of image processing algorithms on FPGA hardware,” Master of Science Thesis, Faculty of the Graduate. Nashville: TN-USA, 2000.

21. K. G. Cottrell, “Color-to-grey scale: Does the method matter in image recognition?” PLoS ONE, vol. 7, no. 29740, 2012.

78.

Authors: Karunamoorthy B, Ramprabu J

Paper Title: A Novel Method Of real Time Cloth Size Measurement Algorithm Based On Fpga Platform

Abstract: Measurements are the very important parameter in all fields like automobile, textile, farming,

construction, etc... This paper present a technique of involuntarily measuring sizes of a garment from a

particular picture. The main objective of this paper is to develop real time hardware measurement system based

on Field Programmable Gate Array for high accuracy and simulation method using edge and contour detection

technique. The simulation can be done by using OPEN CV and hardware platform is based on Xilinx PYNQ-Z1

board which has a combination of ARM Cortex A9 dual processor with an FPGA logic blocks and Logitech

C270 USB camera. In this study, we positioned a camera to capture images of tiled cloths of any color and

style. Image recognition technique used to propose an automatic cloth measurement. A pattern is introduced to

identify the garment along with its size measurements. The pattern can be chosen depending upon the contour

area of given cloths. The system provides an effective tool to measure the cloth size. Using this tool we can

provide the best performance outcome to the apparel industry.

Keywords: Image Processing, contour detection, Open Computer Vision, Python, FPGA, Xilinx PYNQ-Z1

board, Logitech C270 USB camera, cloth measurement, PC monitor.

References: 1. Malik, J., Belongie, S., &Puzicha, J. (2000, November). Shape context: A new descriptor for shape matching and object recognition.

In Nips, Vol. 2, No. 2000.

2. Davies, E. R. (1988). Application of the generalized Hough transform to corner detection. IEE Proceedings E (Computers and Digital

Techniques), 135(1), 49-54. 3. Dong, J.M., and Hu, J.L. (2008), An efficient method for automatic measurement of garment dimensions. Journal of Textile Research,

29.5:98-101.

4. Coffey B., Torres T.J. Photo Based Clothing Measurements,http://multithreaded.stitchfix.com/2016/09/30/photo-based-clothing-measurement/.

5. B.Karunamoorthy, &Somasundasewari” Defect Tea Leaf Identification Using Image Processing”, PrzeglądElektrotechniczny, 2097,

Vol 89, Issue 9, PP318-320, 2013. 6. Cao, L., Jiang, Y., & Jiang, M. (2010, October). Automatic measurement of garment dimensions using machine vision. In Computer

Application and System Modeling (ICCASM), 2010 International Conference on (Vol. 9, pp. V9-30).

7. Chen, K. (2005). Image Analysis Technology in the Automatic Measurement of Garment Dimensions. Asian Journal of Information

Technology, 4(9), 832-834.

8. Raja,Ramakrishnan,”Public key based Third party auditing for privacy preservation in Cloud Environment”, International Journal of

Pure and Applied Mathematics, Vol116,No11,2017,pp 1-9. 9. V.Senthilkumar, B.Vinoth Kumar, P.Saranya,”Normalized Page count And Text based Metric For Computing Semantic Similarity

Between Webdocuments”, Journal Of Advanced Research In Dynamical And Control Systems,Vol9, No6,2017,pp1865-1875

10. V.Senthilkumar, B.Vinoth Kumar, P.Saranya,”Normalized Page count And Text based Metric For ComputingSemantic Similarity Between Webdocuments”, Journal Of Advanced Research In Dynamical And Control Systems,Vol9, No6,2017,pp1865-1875

11. Technology in the Automatic Measurement of Garment Dimensions. Asian Journal of Information Technology, 4(9), 832-834.

12. Raja,Ramakrishnan,”Public key based Third party auditing for privacy preservation in Cloud Environment”, International Journal of Pure and Applied Mathematics, Vol116,No11,2017,pp 1-9.

13. Paler, K., Föglein, J., Illingworth, J., & Kittler, J. (1984). Local ordered grey levels as an aid to corner detection. Pattern recognition,

17(5), 535-543. 14. B.karunamoorthy, jayasudha,d.somasundareswari, “design and implementation of a system for image based automatic detection and

counting of vehicles”,” International Journal of Applied Engineering Research.

15. http://www.pynq.io/ 16. https://opencv.org/

17. https://www.pyimagesearch.com/

409-412

79.

Authors: R. Kavitha, Niranjana C

Paper Title: Smart Health Care Monitoring System

Abstract: Health care sensor plays a vital role in hospitals to monitor the patient’s health with the progress in 413-416

technology. In the proposed technology temperature sensor, heartbeat sensor, blood pressure sensor and glucose

sensor are integrated in single module to monitor the patient’s health constantly. This also eliminates the manual

procedure of thermometers and other devices for monitoring the health condition. This project deals with the

microcontroller based monitoring system for heart rate, body temperature, sugar level, blood pressure and

communication of monitored parameters through BLUETOOTH. The threshold value for the project is 20 to

120 pulses per minute for heartbeat, 18°C to 38°C for monitoring temperature, 120/80 for blood pressure and

70/120 for glucose. The Heart Rate, Body Temperature, sugar level and pressure level is transferred wirelessly

to the doctor through GSM technique. The sensors monitor the parameters and transfer it through GSM Modem

on the similar frequency at which cell phones work.

Keywords: IRD, GSM, Threshold value

References: 1. Sathya, D., & Kumar, P. G. “Secured remote health monitoring system. Healthcare technology letters”, vol. 4, no. 6, pp. 228-232,

2017.

2. Adivarekar, JaieeSitaram, et al. "Patient Monitoring System Using GSM Technology.", International Journal of Mathematics And Computer Research 1.2, vol. 1, no. 2, pp.73-78, March 2013.

3. Naazneen, M. G., et al. "Design and Implementation of ECG monitoring and heart rate measurement system.", International Journal of

Engineering Science and Innovative Technology (IJESIT) vol. 2.no.3 ,pp.456-465, 2013. 4. Sarafidis, Pantelis A., PanagiotisGeorgianos, and George L. Bakris. "Resistant hypertension—its identification and epidemiology."

Nature Reviews Nephrology, vol. 9, no. 1, 2013.

5. Margolis, Karen L., et al. "Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control: a cluster randomized clinical trial." Jama,no.1 pp. 46-56, 2013.

6. Amin, MdSyedul, JubayerJalil, and M. B. I. Reaz. "Accident detection and reporting system using GPS, GPRS and GSM technology." International Conference on Informatics, Electronics & Vision (ICIEV), IEEE, 2012.

7. Latha, N. Anju, B. Rama Murthy, and U. Sunitha. "Design and development of A microcontroller based system for the measurement

of blood glucose." Measurement vol. 2,no. 5 2012. 8. Parekh, Dhvani. "Designing heart rate, Blood pressure and body temperature sensors for mobile On-call system." Thesis, 2010.

9. Fezari, Mohamed, MounirBousbia-Salah, and MouldiBedda. "Microcontroller Based Heart Rate Monitor." International Arab Journal

of Information Technology (IAJIT) vol. 5, no.4 ,2008.Ibrahim, Dogan, and KadriBuruncuk. "Heart rate measurement from the finger using a low-cost microcontroller." Near East University, Faculty of Engineering, 2005.

10. Latha, k.Gayathri Devi,” A New Approach To Image Retrieval Based On Sketches using Chamfer Distance”,Journal Of Advanced

Research In Dynamical And Control Systems, Vol 9 (6 ),2017,1959-1968. 11. SaravananM,K .PradeepMohanKumar and Aramudhan, Broker Based Trust Management Model forRanking the Cloud Providers in

Federated Architecture, International Journal of Pure and Applied Mathematics, Vol116 (11), 2017, 21-29

12. Sathya, D., and Ganesh Kumar. "Secured data aggregation in wireless sensor networks." Sensor Review vol. 38, no..3,2015.

80.

Authors: K.Premalatha , J.J.Nandhini

Paper Title: Safeguarding Two Wheeler User’s Lives Using Smart Helmet

Abstract: This paper proposes smart helmet for two wheeler riders. The smart helmet consists of two modules

one is the helmet module and other one is engine module. The helmet module has inbuilt alcohol sensor,

vibration sensor, a limit switch. These sensors communicate wirelessly with the two wheeler module of the two

wheeler through RF transmitter. GPS and GSM system are kept closer to the engine. The engine module

receives the information from helmet module through RF receiver. The spark plug is shorted to ground with the

help of relay, which is connected to the controller. The relay senses and releases the spark plug from ground

unless the signal comes from the controller. The proposed smart helmet doesn’t allow the vehicle to start unless

the rider wears his/ her helmet. The proposed smart helmet also detects accidents and inform to the ambulance

service through Global Positioning System (GPS) and Global System for Mobile communication (GSM). The

smart helmet is developed and tested for various conditions such as two wheeler key not detected, Helmet not

wore by the driver, alcohol is detected from the driver and when an accident occurs.

Keywords: Smart Helmet, PIC, Accident Prevention

References: 1. Dr.K.Premalatha, Ms.J..J.Nandhini, “IoT based accident prevention and Emergency services”, Research Journal of Engineering and

Technology, Vol. 8 , Issue: 4 , 2017

2. Manjesh N, Prof. Sudarshan raju C H, Safety measures for “Two wheelers by Smart Helmet and Four wheelers by vehicular

Communication” ECEDSCE, JNTUA, Hindupur. 3. V.Krishna Chaitanya, K.Praveen Kumar, “Smart helmet using arduino”, Hyderabad, 2013.

4. Drunken driving protection system International Journal of Scientific & Engineering Research, December-2011.

5. “Vehicle accident alert and locator” International Journal of Electrical & Computer Sciences IJECS-IJENS, Vol.11, 6. Wang Wei, Fan Hanbo― “Traffic Accident Automatic Detection and Remote Alarm Device”

7. K.Malarvizhi, R.Kiruba,” A Novel Method Of Supervision And Control Of First Order Level Process Using Internet

OfThings”,Journal of Advanced Researchin Dynamical and Control Systems, vol9,No6,2017,1876-1894 8. P. JebaSanthiya, D.Murugan,” Soft Computing Basedclassification Of electrogastrogram Signals” International Journal of Pure and

Applied Mathematics, Vol116 No11,2017, 51-58

417-419

81.

Authors: MdTaqiuddin, S. LakshmiShireenBanu

Paper Title: Efficiency of lateral system in tall RC building

Abstract: Shear walls have the important properties of lateral resistance in high rise building for earthquake

and wind load forces. The sway developed by the lateral forces causes damage to the life and property. Thus,

shear walls are initiated in the building to achieve necessary resistance to the lateral forces. Double core shear

wall or box section shear wall is important to ensure adequate stiffness, strength and durability. The study has

been done to analyze the affect of perimeter frames for structural systems in lateral performance of an irregular

shape 30 storey ‘L-shape’ building for the subsequent cases 1: 125mm flat slab with drop, 2: 150mm flat slab

420-422

without drop, 3: increase in diaphragm’s rigidity with 250mm at regular intervals, 4: outrigger + increase in

diaphragm’s rigidity with 250mm at regular intervals.

Keywords: Thus, shear walls are initiated in the building to achieve necessary resistance to the lateral

forces.

References: 1. Dr.H.M.Somasekharaiah, MadhuSudhana, MuddasarBasha, “A Compressive Study on Lateral Force Resisting System For Seismic

Loads” (IRJET) Aug-2016

2. K.M.Lam, ‘et-al.’ “Dynamic wind loading of H-Shaped Tall buildings” – for 7th APCWE, November 8-12, 2009, Taipel, Taiwan.

3. PankajAgarwal& Manish Shrikhande (2009) “Earthquake Resistant Design of Structures”.

4. Alpha Sheth, “Effect of perimeter frames in seismic performance of tall concrete buildings with shear wall core and flat slab system” –

for 14 WACEE on 12-10-2008 Beijing, China.

5. Z.Bayatil, ‘et-al.’ “Optimized use of Multi-outrigger System to stiffen Tall Buildings” – for 14 WCEE on 12-10-2008, Beijing, China.

6. Chopa A.K (2005):- “Dynamics of structures theory and applications to Earthquake Engineering”, second edition.

7. King-Le Chang and Chun-Chung Chen, “Outrigger System Study for Tall Building with Central Core and Square Floor Plate” – for

CTBUH 2004 October 10-13, Seoul, Korea.

8. Dong-Gyen Lee, ‘et-al’ “Use of Super Elements for an efficient analysis of high- rise building structures” – for CTBUH 2004 October

10-13, Seoul, Korea.

9. Young S.Cho, ‘et-al.’ “A study of Flat Plate Slab – Column connections with Shear Plate in Tall concrete building using Experimental

and Numerical Analysis” – for CTBUH 2004 October 10-13, Seoul, Korea.

10. J.M.Reynuouard and J.F.Georgin, “Non linear response and modeling of RC walls subjected to seismic loading”, -paper no: 415, vol.

39, march-june2002 of ISET journal of EQ technology.

11. E.F.Cruz and S.Cominetti, “Influence of Irregularities in Height and Different Design criteria on the inelastic response of building

models” –Paper No: 631 for 11th WCEE, 1996.

12. NirjharDhang, “Structural Dynamics: An Over View” Chapter 12-SE101, NPCBEERM, MHA(DM)

13. U.H.Varyani “Structural Design of multi-storied buildings”, second edition.

82.

Authors: S. Dhanalakshmi, B. G. Obula Reddy, K. Yogitha Lakshmi

Paper Title: Building a blockchain approach with hyperledger transaction flow and distributed consensus algorithms

Abstract: Blockchain is an important, emerging technology and specifying lot of possibilities, its very much

trending topic in recent years. Bitcon is well known implementation of block chain technology, Bitcoin in

cryptocurrency has turned the recognition of the universe towards a unique technology. Its benefit as

decentralization, persistency and consistency of sharing the informations, blockchain is a distributed ledger that

can record transactions efficiently verifiable and permanent way between two parties. Blockchain technologies

focus on various applications perspectives and discuss the new technological challenges in confidentiality,

integrity, authentication, internet of things and smart contract etc. it can be used to record the peer to peer

network with public or private key pair of transactions, authors signed the transactions to be verified with key

pair, save the transactions in blockchain network, once the transaction verified it cannot be altered subsequently.

This paper present and focus on various techniques of hyperledger fabric systems architecture, transaction flow,

membership and identity management, then understanding of hyperledger fabric with consensus algorithms.

Hyperledger is one of the fastest growing open-source blockchain, it can dozens of company working together,

building a blockchain fabric that can support the framework to test the interaction between application and

secure blockchain networks, that require every peer to execute every transaction maintain a ledger and run

consensus, does not support private blockchain and confidentiality. The first block chain systems is hyperledger

fabric run on distributed applications with multiple programming language.

Keywords: Blockchain, Peer-to-Peer Network, Private-Public Key Pair, Hyperledger Fabric, Consensus

Agorithms, Blockchain, Smart Contract

References: 1. High-Performance Consensus Mechanisms for Blockchains Signe Rüsch TU Braunschweig, Germany ruesch@ibr.cs.tu-bs.de,

EuroDW’18, April 23, 2018, Porto, Portugal 2018, PP 1-3, http://conferences.inf.ed.ac.uk/EuroDW2018/papers/eurodw18-Rusch.pdf

2. Ambili, KN., and Sindhu, M., and Sethumadhavan, M., On Federated and Proof Of Validation Based Consensus Algorithm In

Blockchain. IOP Conference Series: Materials Science and Engineering, 2017

3. Atzei, N., Bartoletti, M., and Cimoli, T., A survey of attacks on ethereum smart contracts (sok). In International Conference on

Principles of Security and Trust (2017), Springer, pp. 164-186.

4. Baliga, A., Understanding blockchain consensus models. Tech. rep., Persistent Systems Ltd, 2017.

5. Cachin, C., Architecture of the hyperledger blockchain fabric. In Workshop on Distributed Cryptocurrencies and Consensus Ledgers,

(2016).

6. Imran Bashir, Mastering Blockchain, Distributed ledgers, decentralization and smart contracts explained, (2017)

7. KPMG, Consensus immutable agreement for internet of values,

https://assets.kpmg.com/content/dam/kpmg/pdf/2016/06/kpmgblockchain-consensus-mechanism.pdf

8. Mattila, J., The blockchain phenomenon. (Berkeley Roundtable of the International Economy, 2016, edn.), (2016).

9. Nakamoto, S., Bitcoin: A peer-to-peer electronic cash system, 2008.

10. Sankar, L. S., Sindhu, M., and Sethumadhavan, M., Survey of consensus protocols on blockchain applications. In Advanced

Computing and Communication Systems(ICACCS), 2017 4th International Conference on (2017), IEEE, pp. 1-5. [10] Wood, G.,

Ethereum: A secure decentralized generalized transaction ledger. Ethereum Project Yellow Paper (2014).

11. Application of blockchain technology to banking and financial sector in India, 2017.

12. Survey on blockchain technologies and related services, Japans Ministry of Economy, Trade, and Industry (METI), 2016.

13. Blockchains & distributed ledger technologies, https://blockchainhub.net/blockchains-and-distributed-ledgertechnologies-in-general/.

14. https://arxiv.org/pdf/1801.10228 hyperledger fabric: a distributed operating system for permissioned blockchains”, research paper in

eurosys 2018.

15. https://blog.acolyer.org/2018/06/04/hyperledger-fabric-a-distributed-operating-system-for-permissioned-blockchains/

16. https://hyperledger-fabric.readthedocs.io/en/release-1.2/blockchain.html

423-426

17. https://blockgeeks.com/guides/blockchain-consensus/

83.

Authors: Sanjeeva Polepaka, R. P. Ram Kumar

Paper Title: A Study on Performance Analysis of Multi-Level Feedback Queue Scheduling Approach

Abstract: In CPU scheduling, various algorithms are used to schedule the processes. Few of them are First

come first serve (FCFS), Shortest Job First (SJF), Shortest Remaining Time First (SRTF), Priority Scheduling,

Round Robin (RR), Multi-Level Queue (MLQ), Multi-Level Feedback Queue (MLFQ) scheduling approaches.

This scheduling is used to process the scheduling of operating systems, which is responsible for assigning the

CPU time to available processes. To get user interactivity, throughput, real-time responsiveness, and more. The

objective of the paper is to present an idea that keeps the CPU in maximum utilization until the process is

requesting for an event. When the process is waiting for an event to occur, the CPU is switched between the

processes for better utilization by consuming CPU cycles. The paper also addresses the four different

approaches and their average waiting time in processing the jobs.

Keywords: CPU Scheduling, Process Scheduling, First come first Serve (FCFS), Shortest Job First (SJF),

Shortest Remaining Time First (SRTF), Round Robin(RR), Multilevel Feedback Queue (MLFQ), Waiting

Time.

References: 1. Malhar Thombare, Rajiv Sukhwani, Priyam Shah"Efficient implementation of Multilevel Feedback Queue Scheduling”, International

Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), September 2016.

2. Silberchatz, Galvin, and Gagne, operating systems concepts, 8th Edition, John Wiley and Sons, 2009.

3. Deepali Maste, Leena Ragha, Nilesh Marathe, "Intelligent Dynamic Time Quantum Allocation IMLFQ Scheduling" in International

Journal of Information and Computation Technology, vol. 3, no. 4, pp. 311-322, 2013, International Research Publications House, ISBN

0974-2239.

4. A. S. Tanenbaum, “Modern Operating Systems” Prentice Hall Publications, 2009.

427-428

84.

Authors: T. RamachandranS. Murugapoopathi, D. Vasudevan

Paper Title: RSM based Empirical Model for the Performance and Emission Characteristics of ROME Biodiesel

Abstract: In the current scenario, the production of biodiesel for IC engine plays important role due to the

undesirable pollution and cost hike of the conventional fuels. In India, milk from the rubber tree

(HeveaBrasiliensis) is used for the production of elastic materials which are most widely used in engineering

applications. But the seed from the rubber tree is kept wasted without any further usage and hence in this

research the oil produced from the rubber seed is suggested for effective biodiesel production. The rubber seed

oil (RSO) is converted in to usable rubber seed oil methyl ester (ROME) biodiesel using trans-esterification and

tested for the characteristics of performance and emission through variable compression ratio (VCR) engine.

The detailed set of experiments are conducted in the VCR engine with different biodiesel-diesel ratios to

evaluate the BTE, SFC, CO, CO2 and NOx levels of the blends. A mathematical model also developed using

Response Surface Method (RSM) for these parameters such that the compression ratio, fuel blend, engine load,

and injection pressure are the design variables, The experimental results are used in the RSM to create the

mathematical models and the models are checked for the ANOVA and p-test. Finally the models are tested with

the new sets of experimental results.

Keywords: ROME, VCR engine, RSM, Emission, biodiesel

References: 1. Wilson, V. H. (2012). Optimization of diesel engine parameters using Taguchi method and design of evolution. Journal of the

Brazilian Society of Mechanical Sciences and Engineering, 34(4), 423-428.

2. Muralidharan, K., &Vasudevan, D. (2015). Applications of artificial neural networks in prediction of performance, emission and

combustion characteristics of variable compression ratio engine fuelled with waste cooking oil biodiesel. Journal of the Brazilian

Society of Mechanical Sciences and Engineering, 37(3), 915-928.

3. Wong, P. K., Wong, K. I., Vong, C. M., & Cheung, C. S. (2015). Modeling and optimization of biodiesel engine performance using

kernel-based extreme learning machine and cuckoo search. Renewable Energy, 74, 640-647.

4. Hassan, N. M. S., Rasul, M. G., &Harch, C. A. (2015). Modelling and experimental investigation of engine performance and

emissions fuelled with biodiesel produced from Australian Beauty Leaf Tree. Fuel, 150, 625-635.

5. Lešnik, L., Iljaž, J., Hribernik, A., &Kegl, B. (2014). Numerical and experimental study of combustion, performance and emission

characteristics of a heavy-duty DI diesel engine running on diesel, biodiesel and their blends. Energy Conversion and

Management, 81, 534-546.

6. Khalilarya, S., &Nemati, A. (2014). A numerical investigation on the influence of EGR in a supercharged SI engine fueled with

gasoline and alternative fuels. Energy Conversion and Management, 83, 260-269.

7. Kumar, B. R., Muthukkumar, T., Krishnamoorthy, V., &Saravanan, S. (2016). A comparative evaluation and optimization of

performance and emission characteristics of a DI diesel engine fueled with n-propanol/diesel, n-butanol/diesel and n-pentanol/diesel

blends using response surface methodology. RSC Advances, 6(66), 61869-61890.

8. Yusri, I. M., Mamat, R., Azmi, W. H., Omar, A. I., Obed, M. A., &Shaiful, A. I. M. (2017). Application of response surface

methodology in optimization of performance and exhaust emissions of secondary butyl alcohol-gasoline blends in SI engine. Energy

Conversion and Management, 133, 178-195.

9. An, H., Yang, W. M., & Li, J. (2015). Numerical modeling on a diesel engine fueled by biodiesel–methanol blends. Energy

Conversion and Management, 93, 100-108.

10. Shirneshan, A. R., Almassi, M., Ghobadian, B., &Najafi, G. H. (2014). Investigating the effects of biodiesel from waste cooking oil

and engine operating conditions on the diesel engine performance by response surface methodology. Iranian Journal of Science and

Technology. Transactions of Mechanical Engineering, 38(M2), 289.

11. Berber, A. (2016). Mathematical Model for Fuel Flow Performance of Diesel Engine. International Journal of Automotive

Engineering and Technologies, 5(1), 17-24.

12. Choudhary, A., Chelladurai, H., &Kannan, C. (2015). Optimization of Combustion Performance of Bioethanol (Water Hyacinth)

429-435

Diesel Blends on Diesel Engine Using Response Surface Methodology. Arabian Journal for Science & Engineering (Springer Science

& Business Media BV), 40(12).

85.

Authors: Vishwanath B J, Rex

Paper Title: Use of Steel Slag as Coarse and Fine Aggregate in Porous Concrete Pavements

Abstract: Due to increasing demand of raw materials for construction of roads, the environmental eco system

is getting imbalanced. Hence there is a need to preserve natural resources by using eco friendly alternative

materials. Steel slag is one such alternative material, which is an industrial by product that can be used as an

alternative to aggregates in partial replacement in road construction. Slag may be used as both coarse and fine

aggregates in cement concrete. Hence in the present study mix design for conventional porous concrete was

carried out for different proportion of fine and coarse aggregate (0:100, 10:90, 15:85, 20:80, and 30:70). The

optimum dosage of FA:CA for the conventional porous concrete mix, giving high strength with acceptable

permeability was fixed i.e 20:80 Then the mix design for porous concrete was carried out for partial

replacement coarse and fine aggregates with steel slag in 20:80 mix. i.e Replacing only the coarse aggregate in

FA:CA (20:80) mix with the air cooled LD slag in three different proportions such as 10%, 30% and 50% .i.e

keeping FA-20% constant and replacing coarse aggregate by slag in 80% of CA and Replacing only the fine

aggregate in FA:CA (20:80) with the granulated LD slag in three different proportions such as 30%, 60% and

90% .i.e keeping CA 80% constant and replacing fine aggregate by slag in 20% FA. Finally the mix design

properties in terms of strength and permeability are evaluated for the porous concrete prepared with coarse and

fine slag.

Keywords: Porous concrete; Air cooled LD slag; Granulated LD slag; Coarse aggregate

References: 1. Tennis,P,O, Lemming,M L and Akers,D J “Pervious concrete pavements”, Special publication by the Portland cement association and

the National Ready mixed concrete association , 2004.

2. Ghafoori,N,Dutta.S. “Laboratory investigation of compacted No fines concrete for paving materials”. Journal of material in civil

engineering vol 7, no 3,183-191, 1995.

3. Darshan S. Shah, Prof. J.R. Pitroda, “Pervious Concrete: New Era for Rural Road Pavement”, (IJETT) Vol: 4, August 2013.

4. Wang K, Schaefer V R, Kevern J T and Suleiman M T. “Development of Mix Proportion for Functional and DurablePervious

Concrete”, Submitted to Concrete Technology Forum-Focuson Pervious Concrete, National Ready Mix Concrete

Association,Nashville, TN, May 24-25, 2006, pp. 1-12.

5. PraveenkumarPatil and Santosh M Murnal, “Study on the Properties of Pervious Concrete” International Journal of Engineering

Research & Technology (IJERT) ISSN: 2278-0181, Vol. 3 Issue 5, May – 2014, pp.819-822.

6. Yang,J, Jiang,G, “Experimental study on properties of pervious concrete pavement materials,” Cement and Concrete Research,Vol.33

pergamon,2003.

7. Richard C Meininger, “No-Fine Pervious Concrete for Paving”,Concrete International, vol.10, 1988, pp. 20-2

8. Guo, Peng Tang, Boming Zhu, HongzhouFeng, Min Zhang, Yibo. “Pavement performance of steel slag pervious concrete”

International Conference on Transportation Engineering (ICTE), Chengdu, China, July-2011, pp. 1654-1659.

436-439

86.

Authors: B. Kishore , V. Vijaya Kumar

Paper Title: Local Texton Centre Symmetric Pattern Matrix (Ltcspm) On Wavelet Domain for Texture Classification

Abstract: Due to increasing demand of raw materials for construction of roads, the environmental eco system

is getting imbalanced. Hence there is a need to preserve natural resources by using eco friendly alternative

materials. Steel slag is one such alternative material, which is an industrial by product that can be used as an

alternative to aggregates in partial replacement in road construction. Slag may be used as both coarse and fine

aggregates in cement concrete. Hence in the present study mix design for conventional porous concrete was

carried out for different proportion of fine and coarse aggregate (0:100, 10:90, 15:85, 20:80, and 30:70). The

optimum dosage of FA:CA for the conventional porous concrete mix, giving high strength with acceptable

permeability was fixed i.e 20:80 Then the mix design for porous concrete was carried out for partial

replacement coarse and fine aggregates with steel slag in 20:80 mix. i.e Replacing only the coarse aggregate in

FA:CA (20:80) mix with the air cooled LD slag in three different proportions such as 10%, 30% and 50% .i.e

keeping FA-20% constant and replacing coarse aggregate by slag in 80% of CA and Replacing only the fine

aggregate in FA:CA (20:80) with the granulated LD slag in three different proportions such as 30%, 60% and

90% .i.e keeping CA 80% constant and replacing fine aggregate by slag in 20% FA. Finally the mix design

properties in terms of strength and permeability are evaluated for the porous concrete prepared with coarse and

fine slag.

Keywords: Local binary pattern, GLCM features, classifiers, integrated features, wavelet domain.

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Patterns, I.J. Image, Graphics and Signal Processing, 2017, 2, 46-54

16. A.Obulesu, V. Vijay Kumar, L. Sumalatha, “Content based Image Retrieval Using Multi Motif Co-Occurrence Matrix” , I.J. Image,

Graphics and Signal Processing, 2018, 4, 59-72.

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Image, Graphics and Signal Processing (IJIGSP), Vol. 8, 2015, pp: 50-57.

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of Applied Engineering Research , Vol. 10, Iss. 2, 2015, pp. 4373-4384, ISSN: 0973-4562

22. P. Chandra SekharReddy,B. Eswara Reddy, V. Vijaya Kumar, “Fuzzy based image dimensionality reduction using shape primitives

for efficient face recognition”, ICTACT- Journal On Image And Video Processing, Vol. 04, Iss. 02, 2013, pp. 695-701, ISSN: 0976-

9102.

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25. C.M.Sheela Rani, V.VijayaKumar, “Block based image fusion technique using lifting wavelet transform and neural networks on

medical images”, IRACST - International journal of computer science and information technology & security (IJCSITS), Vol. 2, Iss.5,

2012, pp.980-986, ISSN: 2249-9555.

26. V.Vijaya Kumar, P.J.S. Kumar , Pullela S V V S R Kumar, “Age classification of facial images using third order neighbourhood

Local Binary Pattern” , International Journal of Applied Engineering Research (IJAER), Vol. 10, Iss.15, 2015, pp: 35704-35713, ISSN

0973-4562.

27. P.J.S. Kumar , V. Venkata Krishna ,V.Vijaya Kumar, “A dynamic transform noise Resistant uniform Local Binary Pattern (DTNR-

ULBP) for Age Classification”, International Journal of Applied Engineering Research (IJAER), Vol. 11, Iss.1, 2016, pp: 55-60. ISSN

0973-4562.

28. S. Liao, Max W. K. Law, and Albert C. S. Chung, Dominant Local Binary Patterns for Texture Classification, IEEE Transactions On

Image Processing, VOL. 18, NO. 5, MAY 2009

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Image Process., vol. 19, no. 6, pp. 1657–1663, Jun. 2010.

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Pattern Recognition, Volume 43, Issue 3, March 2010, Pages 706-719

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IEEE International Conference on Advanced Video and Signal Based Surveillance,2010,pp.482–487

32. X. Tan and B. Triggs, “Enhanced local texture feature sets for face recognition under difficult lighting conditions,” IEEE Transactions

on Image Processing, vol. 19, no. 6, pp. 1635–1650, 2010.

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Image Processing (ICIP), 2010, pp. 2737–2740.

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4325.

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Patterns, ICVGIP 2006, LNCS 4338, pp. 58–69, 2006.

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87.

Authors: Nara Sreekanth ,Munaga HM Krishna Prasad

Paper Title: Age Classification Based On Appearance Model Using Local Ternary Direction Pattern Approach

Abstract: The appearance model play a vital role in many applications related to facial images. This paper

derives a new approach of appearance model using local ternary derivative patterns on human facial images for 446-454

effective age groups classification. In the literature direction patterns are derived with respect to central pixel of

the neighborhood. This paper derives ternary direction patters (TDP) between sampling points of the

neighborhood with a strong assumption that the relationship between adjacent pixels derive rich information.

This paper divides the neighborhood into vertical and horizontal units and derives the TDP and based on the

relative frequencies of horizontal and vertical TDP, this paper derives horizontal vertical direction unit matrix

(HVDUM). The gray level co-occurrence matrix (GLCM) features are derived on HVDUM for age

classification and the experimental results are compared with the existing methods and the results indicate the

efficiency of the proposed method over the existing methods.

Keywords: neighborhood; vertical-horizontal units; GLCM features; sampling points

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(2001).

40. C. R. Babu, E. S. Reddy, and B. P. Rao, “Age group classification of facial images using rank based edge texture unit (RETU),”

Procedia Comput. Sci. 45, 215–225 (2015).

41. A. Gunay, V.V. Nabiyev, Automatic age classification with LBP, in: 23rd International Symposium on Computer and Information Sciences, ISCIS 008 (2008) 1–4.

42. Jun-Da Txia, Chung-Lin Huang, Age estimation using AAM and local facialfeatures, in: International conference on Intelligent

Information Hiding and Multimedia Signal Processing (2009) 885–888 43. A. Mallikarjuna Reddy, V. Venkata Krishna, L. Sumalatha, Efficient Face Recognition by Compact Symmetric Elliptical Texture

Matrix (CSETM), Jour of Adv Research in Dynamical & Control Systems, Vol. 10, 4-Regular Issue, 2018.

44. T. Ojala, M. Pietikainen and T. Maenpaa, “Multi-resolution gray- scale and rotation invariant texture classification with local binary patterns,” PAMI, 24 (7), 971–987, 2002.

45. K. Subba Reddy , V. Vijaya Kumar, A.P. Siva Kumar, Classification of Textures Using a New Descriptor Circular and Elliptical-

LBP (CE-ELBP), International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 19 (2017) pp. 8844-8853

88.

Authors: J.Srinivas, Ahmed Abdul Moiz Qyser, B. Eswara Reddy

Paper Title: Texture Classification Based On Fuzzy Similarity Texton Co-Occurrence Matrix

Abstract: In the existing texton based methods a texton is derived in a grid by a collection of pixels exhibiting

exactly the similar grey level values/color/attributes. The disadvantage of this approach is they fail in

recognizing textons, whenever a small random noise changes the pixels intensity values slightly. This paper

addresses this by deriving a fuzzy similarity ‘S’ in identification of texton patterns. The proposed Fuzzy

similarity Texton Co-occurrence Matrix (FSTCM) framework considers the pixels whose gray level value falls

within the fuzzy similarity index value as texton pattern. The FSTCM divides initially the texture image into

micro regions of size 2x2, identifies the textons and transforms the texture image into a fuzzy texton image.

This paper derives gray level co-occurrence matrix (GLCM) features on FSTCM and the proposed method is

tested on five popular texture image databases. The experimental investigation reveals the high performance of

the proposed method over the state of art local based and texton based methods.

Keywords: texton, similarity; micro region; GLCM features; random noise.

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76. A. Mallikarjuna Reddy, V. Venkata Krishna, L. Sumalatha, Efficient Face Recognition by Compact Symmetric Elliptical Texture

Matrix (CSETM), Jour of Adv Research in Dynamical & Control Systems, Vol. 10, 4-Regular Issue, 2018. 77. T. Ojala, M. Pietikainen and T. Maenpaa, “Multi-resolution gray- scale and rotation invariant texture classification with local binary

patterns,” PAMI, 24 (7), 971–987, 2002.

78. K. Subba Reddy , V. Vijaya Kumar, A.P. Siva Kumar, Classification of Textures Using a New Descriptor Circular and Elliptical-LBP (CE-ELBP), International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 19 (2017) pp. 8844-

8853

89.

Authors: Tamilarasu Viswanathan, P Maithili

Paper Title: A Novel Improved Resonant LLC Converter with Minimal Components

Abstract: This paper presented a novel improved resonant LLC converter with minimal components compared

with existing design. Conventional Full H-Bridge in converter replace with differential boost for improving the

overall gain of the circuit and also able to operated buck, boost and buck-boost. As a result, the component size

is significantly reduced and enhance the size and cost of the converter. Different modes of operations presented

for understanding the new converter in terms of switching frequency and gain. An Experimental and simulation

result confirms the effectiveness of the proposed inverter.

Keywords: Resonant tank, DC-DC converter, buck, boost, buck-boost, switching frequency,

inverter, overall gain.

References: 1. R. L. Steigerwald, ”A comparison of half-bridge resonant converter topologies,” IEEE Transactions on Power Electronics, vol. 3,

Issue 2, pp. 174-182, Apr. 1988.

2. J M. Kazimierczuk and D. Czarkowski, ”Resonant Power Converter,” John Wiley & Sons, Inc., 1995.

3. D. Sharmitha. andP. Maithili. ”Solar Powered Intelligent Street Lighting System for Highway Application.” International journal of pure and applied mathematics,vol116no11 2017,151-160.

4. Infineon Technologies: ICE2HS01G datasheet, High Performance Res- onant Mode Controller, V1.1, August 2011.

5. K. Malarvizhi, R. Vijayakumar and S. Divyapriya, ”Electrical Demand Response Using Electric Vehicle and Renewable Energy Sources”,International journal of pure and applied mathematics, vol116no11,2017,191-199.

6. K.Malarvizhi, R.Kiruba,” A Novel Method Of Supervision And Control Of First Order Level Process Using Internet Of Things”

,Journal of Advanced Research in Dynamical and Control Systems,vol9No6,2017,1876-1894. 7. H.F. Xiao, K. Lan, L. Zhang, A Quasi-Unipolar SPWM Full-Bridge Transformer less PV Grid-Connected Inverter with Constant

Common- ModeVoltage,IEEETrans.PowerElectron.,vol.30,no.6,pp.3122-3132, Jun.2015.

8. H. Wang, S. Dusmez, A. Khaligh, Maximum Efficiency Point Tracking Technique for LLC-Based PEV Chargers Through Variable DC Link Control, IEEE Trans. Ind. Electron, vol.61, no.11, pp.6041-6049, Nov. 2014.

9. R. Beiranvand, B. Rashidian, M. R. Zolghadri, S. M. H. Alavi, A Design Procedure for Optimizing the LLC Resonant Converterasa Wide Output Range Voltage Source,,IEEETrans.Power Electron.,B.W.-K. Ling, J. Lam, Computer-vol.27, vol.27, no.7, pp.3243-

3256, July 2012.

10. Lee, S. Cho, G. Moon, Three-Level Resonant Converter with Double Resonant Tanks for High-Input-Voltage Applications, IEEE Trans. Ind. Electron, vol.59, no.9, pp.3450-3463, Sept. 2012.

11. S. Zong, H. Luo, W. Li, X. He, C. Xia, Theoretical Evaluation of Stability Improvement Brought by Resonant Current Loop for

Paralleled LLC Converters, IEEE Trans. Ind. Electron, vol. 62, no. 7, pp. 4170- 4180, July 2015. 12. D. G. Holmes and T. A. Lipo, Pulse Width Modulation for Power Converters Principles and Practice, Hoboken, NJ, USA: Wiley,

2002, ch. 4, pp. 156-177.

13. J. Dudrik, N. D. Trip, Soft-Switching PS-PWM DCDC Converter for Full-Load Range Applications, IEEE Trans. Ind. Electron., vol. 57, no. 8, pp. 2807 -2814, Aug. 2010.

464-467

90.

Authors: S.Kaliappan, A.Ezhilarasi, S.AbhianayaPriya, N.J.Nivetha

Paper Title: Embedded system based home Security Surveillance Using Raspberry pi

Abstract: This paper is based on home based security system. In modern world people are instructed on home

automation, but don’t care about home security. Security is much more important than automation of home

because it can save life and commodity of the people. This paper proposes two main important aspects. One of

the processes is automatic sending of message to home owner with help of GSM when door is open by

unauthorized user using PIC microcontroller and next one is surveillance camera usage for home security by

raspberrypi-3Raspberrypiis used for image processing, image processing can be done only if user can enter

wrong password it will indicate to raspberry pi for image processing for finding out the unauthorized person.

Keywords: Home automation, camera, GSM, PIC-microcontroller

References: 1. Prof. R.M.Sahu, AkshayGodase, PramodShinde, ReshmaShinde “Garbage And Street Light Monitoring System Using Internet Of

Things “International Journal Of Innovative Research in Electrical, Electronics,Instrumentation and Control Engineeri7ng Vol. 4,

468-471

Issue 4, April 2016.

2. Parkash, Prabu V, DanduRajendra “Internet Of Things Based Intelligent Street Lighting System For Smart City” International

Journal of Innovative Research in Science, Engineering and Technology Vol. 5, Issue 5, May 2016. 3. AnkitMaslekar, Aparna K, Mamatha K, Shivakumara T “Smart Lighting System Using Raspberry Pi ” International Journal of

Innovative Research in Science, Engineering and Technology Vol. 4, Issue 7, July 2015.

4. Dr. D.V.PushpaLatha, Dr. K.R.Sudha, Swati Devabhaktuni “PLC Based Smart Street Lighting Control ” I.J. Intelligent Systems and

Applications, 2014.

5. Vignesh.L, Kaliappan.S, Ramkumar.R “IoTBased Vegetable Production and Distribution Through Big Data Application”

International Journal For Science and Advance Research in Technology Vol. 3, Issue 2, Febuary 2017. 6. DeepanshuKhandelwal, Bijo M Thomas, KrithikaMehndiratta, Nitin Kumar “Sensor based Automatic street Lighting System”

International Journal of education and science research review. Vol.2, Issue.2 , April 2015.

7. Vishesh Kumar Kurre “Smart Garbage Collection Bin Overflows Indicator Using IOT” International Research Journal of Engineering and Technology, Vol. 3, Issue. 5, May 2016.

8. Monika K A, NikithaRao, Prapulla S B, Shobana G “Smart Dustbin-an Efficient garbage Monitoring System”, Vol. 6, Issue.6 , 2016.

9. S.S.Navghane, M.S.Killendar, Dr.V.M.Rohokale “IOT Based Smart Garbage and Waste collection Bin” International Journal of Advanced Research In Electronics and Communication Engineering. Vol. 5,Issue 5, May 2016.

10. K.Malarvizhi, R.Kiruba,” A Novel Method Of Supervision And Control Of First Order Level Process Using Internet Of Things”

,Journal of Advanced Research in Dynamical and Control Systems,Vol9No6,2017,1876-1894 11. P. JebaSanthiya, Murugan,” Soft Computing Based classification Ofelectrogastrogram Signals” International Journal of Pure and

Applied Mathematics, Vol116 NO11, 2017 51-58

12. Vignesh .L,Kaliappan.S,Ramkumar.R, 2017,Comparision of Dc-Dc converter for BLDC motor.Published BYAENSI Publication ,ISSN:1995-0772, ESSN:1998-1090,Special Issue 11(5),Pages 25-31.

91.

Authors: T. Kameswara Rao, M. Rajyalakshmi, T. V. Prasad, V. KoteswaraRao

Paper Title: Handling Complete-Verbs of Telugu in Machine Translation

Abstract: Verbs can be divided into two types, transitive and intransitive. A verb can be derived into many

forms like complete, incomplete, reflexive, causative, interrogative, passive, negative, etc. in Telugu. Transitive

verbs need an object to perform action on it, while intransitive verbs do not need. Between the complete and

incomplete verbs, only complete verbs can convey fulfilled or complete meaning of the sentence, while

incomplete verbs cannot. Reflexive verbs convey that the action performed is for self. Causative verbs convey

that the action is made done. Interrogative verbs are used for inquiry. Passive verbs are object oriented, which

emphasize action rather than actor. A verb can be derived into its negative and positive forms. Verbs can again

be grouped into regular and irregular type based on the way how they form. Various types of complete-verb

derivatives of regular and irregular verbs, based on tense/ mood, number, and gender are discussed in detail in

this paper. Only complete verbs of Telugu were considered for handling their conjugations in Machine

Translation (MT) in this paper.

Keywords: Telugu Conjugations, Conjugation Handling, Machine Translation, Morphological Analysis.

References: 1. Rev. Robert Caldwell, “A Comparative Grammar of the Dravidian or South-Indian Family of Languages”, 2ed, Trubner& Co.,

Ludgate Hill, London, 1875

2. Albert Henry Arden, “A Progressive Grammar of the Telugu Language”, 2ed, Simpkin, Marshall, Hamilton, Kent & Co. Ltd., London, 1905

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5. T. KameswaraRao and Dr. T. V. Prasad, “Issues in Vowel Based Splitting of Telugu Bigrams”, Int. J. of Adv. Comp. Sc.

Applications, Special Ed. on NLP, Feb 2014. 6. T. KameswaraRao and Dr. T. V. Prasad, “Telugu Bigram Splitting using Consonant-based and Phrase-based Splitting”, Int. J. of

Adv. Computer Sc. Applications, Vol. 5, No. 5, Jul 2014. 7. T. KameswaraRao and Dr. T. V. Prasad, “Comparative Analysis of Telugu and Sanskrit”, Int. J. of Sc. Eng. and Tech., Vol. 3, Issue

5, Jun 2014.

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and Network, Vol. 4, Issue 5, Oct 2015. 10. T. KameswaraRao and Dr. T. V. Prasad, “Handling Plural Forms of Telugu Words in Machine Translation”, Proc. of 3rd ISERD Intl.

Conf. on Engg. Tech. and Mgmt., Singapore, 31 May 2015.

11. T. KameswaraRao and Dr. T. V. Prasad, “Machine Translation of Telugu Singular Pronoun Inflections to Sanskrit”, Proc. of Intl. Conf. on Computational Intelligence in Data Mining, Bhubaneswar, Odisha, 5 - 6 Dec 2015.

12. T. KameswaraRao and Dr. T. V. Prasad, “Machine Translation of Telugu Plural Pronoun Declensions to Sanskrit”, Proc. of Intl.

Conf. on Applied and Theoretical Computing and Comm. Tech., SJB Inst. of Tech., Bengaluru, Karnataka, 21 – 23 Jul 2016, IEEE Explore.

13. T. KameswaraRao and Dr. T. V. Prasad, “Handling Incomplete Verb Conjugations of Telugu in Machine Translation”, Proc. of Intl.

Conf. on Big Data Analytics and Computational Intelligence, Chirala Engineering College, Chirala, AP, 23-25 Mar, 2017, IEEE Explore.

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472-477

92.

Authors: S. Geetha, L. Prasika

Paper Title: Ground Level Ozone Prediction for Delhi using LSTM-RNN

Abstract: Outdoor air pollutants are bringing adverse effects on the living being health. Air quality is

deteriorating due to multi-pollutants such as sulfur dioxide (SO2), Nitrogen dioxide (NO2), Nitrogen oxide

(NOx), Ozone (O3), Carbon Monoxide (CO), Particulate Matter 2.5 (PM2.5), Particulate Matter 10 (PM10), etc.

478-480

Out of these multi-pollutants, ground level Ozone is creating major health issues in lungs, heart, etc. Ground

level Ozone is formed due to reactions between Nitrogen, vehicle emissions, Industrial emissions, and gasoline

with the presence of sunlight. Recently, Deep Learning Techniques are applied in all prediction problems. Here,

we proposed the Recurrent Neural Network based LSTM prediction model to predict the ground level ozone.

The model is created with the historical data collected from various stations in and around Delhi. The model is

providing more accuracy to predict the ground level ozone than the stare-of-art techniques. The model is

evaluated with normalized mean square error and mean absolute error.

Keywords: Sulfur dioxide (SO2), Nitrogen dioxide (NO2), Nitrogen oxide (NOx), Ozone (O3), Carbon

Monoxide (CO), Particulate Matter 2.5 (PM2.5),

References: 1. Malley, C. S., D. K. Henze, J. C. Kuylenstierna, H. W. Vallack, Y. Davila, S. C. Anenberg, M.C. Turner, and M. R. Ashmore,

Updated global estimates of respiratory mortality in adults >30 years of age attributable to long-term ozone exposure. Environmental

Health Perspectives 125 (8). doi: 10.1289/EHP1390, 2017. 2. Kim, S. E., & Kumar, A, Accounting seasonal nonstationarity in time series models for short-term ozone level forecast, Stochastic

Environmental Research and Risk Assessment, 19(4), 241–248, 2005.

3. Andreja Stoji c, DimitrijeMaleti c, Svetlana Staniši c Sto-ji c, Zoran Miji c, and Andrej Šoštari c. Forecasting of vocemissions from traffic and industry using classificationand regression multivariate methods, Science of the TotalEnvironment, 521:19–26, 2015.

4. Sousa, S.I.V., Martins, F.G., AlvimͲFerraz, M.C.M., Pereira, M.C., Multiple linear regression and artificial neural networks based on

principal components to predict ozone concentrations, Environmental Modelling and Software 22, 97Ͳ103, 2007. 5. Al-Alawi, S.M., Abdul-Wahab, S.A., Bakheit,C.S., Combining principal component regression and artificial neural networks for more

accurate predictions of ground-level ozone, Environmental Modelling & Software 23, 396-403, 2008.

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Pollution Research, 436-444, 2011. 8. Dhirendra Mishra, P. Goyal, Neuro-Fuzzy approach to forecasting Ozone Episodes overthe urban area of Delhi, India, Environmental

Technology & Innovation, 83–94, 2016.

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Memory Neural Network Based on Ensemble Empirical Mode Decomposition, International Journal of Environmental Research and

Public Health, 15, 1032, 2018.

93.

Authors: Srikanth Koniki, D Ravi Prasad

Paper Title: A Study on Mechanical Properties of Concrete Reinforced with Hybrid Fibers at a Low Fiber Volume

Fractions

Abstract: This study is aimed to investigate the effect of fiber hybridization on basic mechanical properties

of 30 MPa concrete. Fibers used in the study are Hooked-end steel, polyester and polypropylene. Hybridization

was done in two stages, the first stage of the investigation was to develop and study the effect of polyester-

polypropylene (Non–metallic) HFRC at a total fiber volume fraction of 0.15%. Further, the investigation was

carried out to develop a hybrid fiber reinforced concrete made with metallic (hooked-end Steel) and non-

metallic fibers at a total fiber volume fraction of 0.5%. Mechanical properties, namely compressive strength,

direct tensile strength and flexural strength were investigated. The results obtained were compared with mono-

fiber reinforced concrete and conventional concrete. Significant improvement in direct tensile strength and

flexural strength observed with the with the fiber hybridization compared to mono-fiber reinforced concrete and

control mix. This may be due to synergic response of different fibers at different scales of cracking at different

stress levels in concrete. Superior results were observed at metallic – non-metallic hybridization due to

exhibition of synergetic response of fibers by inhibition of crack growth and propagation, at different scales of

cracking at different stress levels in concrete.

Keywords: Fiber hybridization, concrete. Fibers, compressive strength

References: 1. Bentur, Arnon; Mindess, S., 2007. Fibre Reinforced Cementitious Composites, Civil Engineering.

2. ACI Comite 544, 2002. State of the Art Report on Fiber Reinforced Concrete Reported (ACI 544.1R-96 Reapproved 2002). ACI Struct. J. 96,

66.

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Fract. 4. Banthia, N., Nandakumar, N., 2003. Crack growth resistance of hybrid fiber reinforced cement composites. Cem. Concr. Compos.

5. Banthia, N., Gupta, R., 2004. Hybrid fiber reinforced concrete (HyFRC): Fiber synergy in high strength matrices. Mater. Struct. Constr. 37,

707–716.

6. Ahmed, S.F.U., Mihashi, H., 2011. Strain hardening behavior of lightweight hybrid polyvinyl alcohol (PVA) fiber reinforced cement

composites. Mater. Struct. 44, 1179–1191.

7. Banthia, N., Sappakittipakorn, M., 2007. Toughness enhancement in steel fiber reinforced concrete through fiber hybridization. Cem. Concr.

Res. 37, 1366–1372.

8. Yao, W., Li, J., Wu, K., 2003. Mechanical properties of hybrid fiber-reinforced concrete at low fiber volume fraction. Cem. Concr. Res. 33, 27–3

9. Fallah, S., Nematzadeh, M., 2017. Mechanical properties and durability of high-strength concrete containing macro-polymeric and

polypropylene fibers with nano-silica and silica fume. Constr. Build. Mater. 132, 170–187.

10. Afroughsabet, V., Ozbakkaloglu, T., 2015. Mechanical and durability properties of high-strength concrete containing steel and polypropylene

fibers. Constr. Build. Mater. 94, 73–82.

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481-485