Kolkota Section

Technical Co-Sponsed By

IEEE

2015 International Conference on

Man and Machine InterfacingSmart Response to Challenges of Smart World

MAMI 201517th - 19th December, 2015

CONFERENCE PROGRAM AND BOOK OF ABSTRACTS

Sponsored By

2015 International Conference on

Man and Machine InterfacingTechnical Co-Sponsored by IEEE Kolkata Section

MAMI 2015

17th - 19th December, 2015, Bhubaneswar, India

CONFERENCE PROGRAM

AND BOOK OF ABSTRACTS

Contents

Message from the Chairman i

Message from the Managing Director, SSEPL Skill Pvt. Ltd. ii

Message from the Director iii

Message from the Registrar iv

Message from the Principal v

Message from the General Chair vi

Welcome message from the Program Chair vii

Committees ix

Keynote Address by Prof. P. K. Meher xi

Plenary Talk by Prof. A. Samraj xii

Plenary Talk by Prof. G. Panda xiii

Plenary Talk by Prof. A. Chakrabarti xv

Plenary Talk by Prof. P. Ranjan xvi

Plenary Talk by Prof. P. K. Nanda xvii

Paper Title and Abstracts (Regular Session) 1-26

i

It is a matter of great delight to know that the

Department of Electronics & Telecommunication

Engineering is organizing an International Conference on

Man and Machine Interfacing (MAMI 2015) from 17-19th

December, 2015 in collaboration with IEEE, Kolkata Section. To mark this event, the

department is going to publish a souvenir with the technical papers and articles that

are going to be presented in the conference.

This conference is going to smartly discuss the challenges of the smart world,

with special focus on Systems Science and Engineering, Human-Machine Systems

and Cybernetics. This conference will be a convergence of leading scientists from

India and abroad to discuss the challenges of Man and Machine Interface.

I wish this interdisciplinary conference become a grand success and

contribute immensely to the field of artificial intelligence.

Message from the Chairman

Shree Sanjib Kumar RoutChairman

C. V. Raman Group of Institutions

ii

The key concept of man and machine interfacing in

the domain of engineering has subconsciously been

centuries old. Without this, ideas and postulates hardly

reach the epitome in engineering expeditions.

To establish parity with reality, one must excel in the multi-disciplinary

engineering specializations and thereby International Conference on Man and

Machine Interfacing (MAMI 2015) comes at an opportune time to engage our peers

in a constant and constructive dialogue. This conference is undoubtedly an invaluable

opportunity for an exchange of views and ideas amongst the speakers, academicians

and scholastic participants. The theme of the conference is quite relevant considering

the research prospects in the country. The endeavour is indeed laudable.

On behalf of the SSEPL Skills Pvt. Ltd. I wish the conference and

publication of the souvenir a grand success.

Message from the Managing Director, SSEPL Skills Pvt. Ltd.

Smt. Shailja RoutManaging Director

SSEPL Skills Pvt. Ltd.

iii

It is a matter of pride and honor that the Department

of Electronics and Telecommunication Engineering is

organizing International Conference on Man and Machine

Interfacing (MAMI 2015), which is technically Co-

sponsored by IEEE, Kolkata Section. Also it gives utmost pleasure to me for

publishing a Souvenir, which will contain the abstract of a good number of research

papers selected through stringent selection process from a large volume of papers

received. I wish a grand success of your endeavour in bringing out the said magazine.

Message from the Director

Prof.(Dr.) K. C. PatraDirectorCVRCE

iv

It is of immense pleasure for me to know that our

Electronics and Telecommunication Engineering

Department is organising an International Conference on

Man and Machine Interfacing (MAMI 2015) in the

campus with technically sponsorship of IEEE, Kolkata section. They are also going

to publish a Souvenir, which will contain the abstract of all selected papers.

It is an established fact that Man and Machine are integral elements of any

developing/developed society and when the knowledge &expertise of both these

elements are combined together, they can create miracles.

This conference will not only enhance the knowledge base of the participants

but also encourage them to publish standard papers in International journals of

repute.

I congratulate the organizers for holding such a conference in the campus and

wish all success for the souvenir to be published by them.

Message from Registrar

Er. D. MohapatraRegistrarCVRGI

v

It gives me immense pleasure to know that

Department of Electronics and Telecommunication of our

college is organizing the International Conference on Man

and Machine Interfacing (MAMI 2015), which is

technically co-sponsored by IEEE Kolkata Section. The Objective of this

conference is to disseminate the knowledge and expertise of the eminent scholars and

promote research in the areas of Artificial Intelligence, Neural Network,

Computational Intelligence, Speech and Pattern Recognition, Speech processing etc.

The participants will get scope to enlighten themselves with latest development and

research directions from the galaxy of eminent speakers on different aspects of Man

and Machine Interfacing.

Moreover, I am happy that a Souvenir containing the abstracts of all selected

research papers is being published and circulated. I hope this conference will reap

benefits to all stake holders.

I congratulate Department of Electronics and Telecommunications for this

endeavour and extend good wishes to the faculty members and other staff members

involved in organizing this conference.

Message from the Principal

Prof. D. MishraPrincipalCVRCE

vi

It is my immense pleasure to be a part of 1st

International Conference on Man and Machine Interfacing

(MAMI 2015) organized by Department of Electronics and

Telecommunication Engineering. I hope the Souvenir would

help the readers to have a glimpse of idea regarding System Science, Human machine

Interfacing and Cybernetics. I wish to congratulate the members who are directly or

indirectly involved in MAMI 2015 for their enthusiasm and hard work. I convey my

greetings and good wishes for the grand success of this Conference.

Message from the General Chair

Prof. P. KabisatpathyGeneral ChairMAMI 2015

vii

Taking this occasion, I would like to welcome each

and everyone to our unique event of International

Conference on Man and Machine Interfacing (MAMI

2015) at the beautiful campus of C.V. Raman College of

Engineering, Bhubaneswar, during 17th-19th December

2015. This MAMI 2015 is the first step towards the MAMI series once in every two

year in the same time. Friendly, hardworking and successful Conference Organizing

team and the entire fraternity of C.V. Raman College of Engineering are available at

your convenience for fruitful and memorable conference and promise that you can

enjoy meeting old friends, building networks, and of course most importantly

enjoying Conference programs and events which are truly dedicated to you.

Thanks to all the authors for their overwhelming response and contributions

in all important fields of MAMI 2015. We encourage you that our Conference is not

only a “gathering event” it will also provide opportunity to exchange ideas, to learn,

to share through technical sessions and in the great commitment of contributing

towards positive change in the technology for the benefit of mankind.

Organizing an International conference cannot be brought together without

the dedicated efforts of many people. I would like to thank everybody involved in

many committees. My special thanks to Shree Sanjib Kumar Rout, Mrs. Shailja Rout,

Prof. G. Panda, Prof. O. Kaynak, Prof. H. Gao, Prof. P. Kabisatpathy, Prof. K. C.

Patra, Prof. C. K. Sarkar, Prof. S. K. Chowdhury, Prof. J. K. Sing, Prof. A.

Chakrabarti and the members of International Program Committee. The Faculties and

graduate students of my department deserve special thanks because without their

involvement, I would not have been able to face the challenges of my responsibilities.

Welcome Message from the Program Chair

viii

I would also like to thank C V Raman College of Engineering for the support

provided in many ways, Science and Engineering Research Board (SERB)

Government of India, IEEE Kolkata Section for the support and sponsorship.

Finally I would like to wish you all a very pleasant stay in Bhubaneswar,

India and a safe return to home. I hope that we will have a successful meeting with

fruitful discussion as well as enjoying the city of temples and its environment. I also

hope that the International atmosphere at MAMI 2015 will inspire new friendship

among Engineers and scientists of the world and we will see each other in Anchorage

next MAMI 2017.

Prof. P. KanungoProgram ChairMAMI 2015

ix

Patrons

Shree Sanjib Kumar RoutChairman, C. V. Raman Group of Institutions

Smt. Shailja RoutManaging Director, SSEPL Skills Pvt. Ltd

General Chair

Prithviraj Kabisatpathy, India

Honorary General Co-Chairs

Okyay Kaynak, TurkeyHuijun Gao, ChinaGanapati Panda, India

Program Chair

Priyadarshi Kanungo, India

International Program Committee

Dipti Prasad Mukherjee, IndiaRaveendran Paramesran, MalaysiaDatuk Ir. Ismail Bin Hassan, MalaysiaG. V. Mahesh, IndiaR. S. Rohella, IndiaSoumya Pandit, IndiaAmlan Chakrabarti, IndiaAndrews Samraj, MalaysiaHariharan Ranganathan, IndiaAshish Ghosh, IndiaPradipta Kumar Nanda, IndiaSaradindu Ghosh, IndiaKartik Chandra Patra, IndiaRabindra Kumar Das, IndiaGirija Sankar Rath, IndiaDayal Rama Krishna Parhi, IndiaSarat Kumar Patra, IndiaAtanu Maity, IndiaRudra Sankar Dhar, Canada

Jin Young Park, KoreaHyun Sung Shin, KoreaBidyadhar Subudhi, IndiaDipti Patra, IndiaK. Parvathi, IndiaSanghamitra Mohanty, IndiaPrashant Kumar Pattnaik, IndiaAjit Kumar Panda, IndiaSaikat Chatterjee, IndiaRachita Mishra, IndiaBibudhendu Pati, IndiaSangram Keshari Mohaptra, IndiaBrojo Kishore Mishra, IndiaNarendra Kumar Kamilla, IndiaChhabi Rani Panigrahi, IndiaJyoti Prasad Patra, IndiaSatyasis Mishra, IndiaMrutyunjaya Panda, India

Committees

x

Publicity Co-Chairs

Gyanajyoti RoutrayDebasis Mohanty

Publication Co-Chairs

Umesh Chandra SamalDilip Kumar Nayak

Local Organizing Co-Chairs

Pradosh Kumar HotaDeepak Kumar RoutSwagat Nanda

Local Organizing Committee

Seli MohapatraTapaswini PattnaikJayashree DashJagannath Dayal PradhanSaswat Kumar RamAswini Kumar SamantarayManoj Kumar DasKabita AgarwalSuchitra SarangiAparajita MohapatraSatyabrata BiswalSoumya MishraManoj Kumar PandaSuranjana VermaManisha MishraParsuram PradhanUpendra Kumar AcharyaBiranchi Narayan BeheraKalyan Kumar BarikPreetismita PanigrahiMoumita AcharyaPrabodh Kumar SahooSruti Ranjan Mishra

Manoj Kumar NayakAyasprav RoutMohit Ranjan PandaRanjan MishraTanushree PradhanAsish Kumar NandaManoj Kumar BeheraJaswant SamalRaj Kishor DasKamal Kanta GiriJaladhar PradhanAmarendra GhadeiChitta Ranjan PadhyPriyabrata DashDeepak Kumar JenaSanjoy Kumar MahatoNarayan NayakBanitarani PradhanRashmita BarikJhuma NayakSandeep Kumar SwainSruti Ranjan Mahato

xi

Title: Towards a Smarter World: Opportunities and Challenges

Brief Biography:

Pramod Meher received the B.Sc. (Honours) and M.Sc. degree in physics, and the Ph.D. in science from Sambalpur University, India, in 1976, 1978, and 1996, respectively.

Currently, he is working as a Senior Research Scientist with the School of Computer Engineering in Nanyang Technological University, Singapore. Prior to going to Singapore, he was a Professor of Computer and System Sciences at Visva-Bharati University, Shantiniketan for a short duration. Previously, he was a Professor of Computer Applications with Utkal University, Bhubaneswar, India from 1997 to 2002, a Reader in Electronics with Berhampur University, Berhampur, India from 1993 to 1997, and a Lecturer in Physics with various Government Colleges in India from 1981 to 1993.

His research interest includes design of dedicated and reconfigurable architectures for computation-intensive algorithms pertaining to signal, image, and video processing, communication, bio-informatics, intelligent computing, and information security. He has contributed more than 200 papers including nearly 70 papers in IEEE Transactions relating VLSI architectures to various reputed journals and conference proceedings (available at http://www.ntu.edu.sg/home/ASPKMeher/List.pdf).

Dr. Meher has served as a speaker for the Distinguished Lecturer Program of IEEE Circuits Systems Society and Associate Editor of the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-II: EXPRESS BRIEFS, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: REGULAR PAPERS, and IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS. He is in the editorial board of Journal of Circuits, Systems, and Signal Processing (CSSP) and Integration, the VLSI Journal, and will be serving as an Associate Editor of IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY from 2016. He is a member of Technical Committee on VLSI Systems & Applications of IEEE Circuits and Systems Society of IEEE Circuits and Systems Society. Dr. Meher is a Senior Member of IEEE, and a Fellow of the Institution of Electronics and Telecommunication Engineers (IETE), India. He was the recipient of the Samanta Chandrasekhar Award for excellence in research in engineering and technology for 1999.

Keynote Address

Prof. Pramod Meher

xii

Title: The Wearable Computing Technology a Promising zone for Heterogeneous Inventions

Abstract:

Wearing a stud, multiple metal rings, and an attractive dolor chain is an inevitable passion among the college going youngsters of the new generation. Anything that is wearable always having a fashion component in it. Starting from basic dress to the hair dressings, colouring, etc..it goes up to ornaments and foot gear. Crossing the boundary of fashion, the Wearable Technology introduces a leap ahead with the utility devices that are never been considered as a dress in olden days. Wearing a computer is such a ridiculous thing until 2000 among Indian youths and never been considered as a fashion. As with the conventional desktops and lap tops, Wearable computers too are efficient to use in industrial manufacturing and distribution, military use, medical and health, personal use and emerging future designs. The Wearable Computing Technology era in late 80’s started as a small group of MIT researchers in America to explore an easy and ubiquitous way of computing. This idea encompasses the down scaling of the size of computers, and to use them with the gain earned by ergonomically designed computing equipment.

In General the Wearable Computing Technology gives the freedom of movement as well as temporal computing coverage. The proposed wearable systems are not focused on the conventional computing applications rather, that could be applied on applications to gain information anytime, anywhere, and through non-conventional means, of I/O e.g. Like Electrodes, Sensors, Cameras and micro displays.

Brief Biography:

Andrews Samraj is a Leading Wearable Computing Scientist in India and Professor of Computing and IT at Mahendra engineering Group, where he carries out his research in signals, cybernetics, control, robotics and biomedical engineering. Withhis 20+ years of Internationalexperience, he authored or co-authored more than 100 research papers and has written or edited several books, as well as profuse magazine and newspaper articles on scientific and general subjects. He has been organizing many international conferences and active member of many technical and organizing committees of reputed IEEE conferences. He has broadcast and lectured widely by all means including television and FM radios and held variousvisiting professorships.

After gaining his Industrial experience, He worked in Kumaraguru college ofTechnology, Coimbatore, Asia Pacific Institute of Information Technology, Malaysia, Multimedia University, Malaysia and In VIT University, Chennai.

He has been awarded for many areas in course of his worldwide carrier including the IBM Award from Malaysia, Excellence award for University Teaching, many travel awards, and awards on Human Centered Technologies.

Plenary Talk 01

Prof. Andrews Samraj

xiii

Title: Recent advances in signal processing and soft computing

Abstract:

In recent years, signal processing has played a significant role almost in all field of applications. Signal processing can be broadly divided into four groups: fixed, adaptive, distributed and intelligent. In this talk, a brief overview of each type of signal processing will be presented. Few interesting applications of latest signal processing techniques and tools will be discussed during presentation. These include biomedical engineering, wireless sensor networks, active noise control, hearing aid, cognitive radio and intelligent sensors. Most of the applications involve one or two operations such as forecasting, filtering, classification, clustering, direct and inverse modeling. During the talk, an overview of all the six operations will be outlined. In addition, the talk will also include both single and multi objective based optimization tools and their potential applications.

Brief Biography:

Professor Ganapati Panda is currently working as a visiting professor at Indian Institute of Technology Bhubaneswar. During 2009-13 Professor Panda served as the Deputy Director of this institute. Prior to this he was working as Dean (Academic Affairs) and Head, School of Electrical sciences of this institute. He also served as Dean (Administration) at National Institute of Technology, Rourkela. He was a member of Board of Governors of IIT Bhubaneswar and NIT Rourkela. He was the founder Head of school of Electrical Sciences at IIT Bhubaneswar as well as the founder Head of Electronics and Communication Engineering department of NIT Rourkela. He also served as Director of National Institute of Technology, Jamshedpur. He also acted as Co-ordinator, World Bank Project at National Institute of Technology, Rourkela.

He has served 41 years in teaching and research in leading technical institutions of Odisha like College of Engineering Burla (16 years), National Institute of Technology, Rourkela (22 years) and Indian Institute of Technology, Bhubaneswar (4 years). He did his Post-Doctoral research work at the University of Edinburgh, UK (1984-86) and Ph. D. from IIT, Kharagpur in 1981 in the area of Electronics and Communication Engineering. He has already guided 35 Ph.D.s in the field of Signal Processing, Communication and Soft- computing. He has published more than 365 research papers in various referred International and Indian Journals and Conferences with more than 4046 citations and h-index of 33. Eight more PhD students are continuing their PhD work under his active guidance. Most of his research papers are extensively cited.

He has successfully completed number of research projects from AICTE, MHRD, ISRO, DRDO, DST and British Council, UK. He has also edited two books in the area of DSP. He was nominated as the Fellow of the National Academy of Engineering, India (FNAE) and Fellow of

Plenary Talk 02

Prof. Ganapati. Panda

xiv

National Academy of Science, India (FNASc) for his significant research contribution to signal processing and telecommunication. For the year 2012, Dr. Panda has been selected for the Biju Patnaik award for Scientific Excellence in recognition of his outstanding life time contributions in the field of science and technology. He also received Samanta Chandra Sekhar award from the department of Science and Technology, Govt. of Orissa for his high quality research work in the field of Engineering. He is a Senior Member of IEEE, Fellow of IET, Fellow of IETE, Fellow of IE, Life Member of CSI, Life Member of ISTE and Life Member of System Society.

He is a regular reviewer of many international journals including IEEE, IET and Elsevier. He has chaired and delivered keynote addresses in many international conferences in India and abroad. He has travelled extensively in India and abroad. His research interests are Digital Signal Processing, Digital Communication, Soft Computing, Intelligent Instrumentation, Evolutionary Computing, Computational Finance, Sensor Networks and Distributed Signal Processing.

xv

Title: Medical Image Processing: Analysis and Visualization

Abstract:

Imaging has become an essential component in many fields of bio-medical research and clinical practice. Radiologists identify and quantify tumors from MRI and CT scans, and neuroscientists detect regional metabolic brain activity from PET and functional MRI scans. Analysis of these diverse types of images requires sophisticated computerized quantification and visualization tools. This motivates us to design and develop standard user interface and analysis tools (computer aided diagnostics: CAD) so that researcher and clinicians can easily share research data and analyses, thereby enhancing their ability to study, diagnose, monitor and treat medical disorders with better accuracy. Image acquisition, preprocessing, segmentation of region of interest, feature extraction and classification are some of the key process steps that are performed in extracting useful information from medical images. Multimodal medical image analysis along with 3D information extraction is also the recent trends in computer aided diagnostics. This lecture will discuss the fundamental process steps for medical image analysis, with a brief insight on the CAD for various medical abnormalities viz. estimation of spinal deformity, early risk prediction for cancer etc. A special emphasis will be given on multimodal image registration and fusion involving CT, MRI, PRT etc. Some preliminary ideas of 3D reconstruction and viewing as applied in medical image analysis will also be presented.

Brief Biography:

Dr. Amlan Chakrabarti is at present an Associate Professor and Coordinator at the A.K.Choudhury School of Information Technology, University of Calcutta. He is an M.Tech. from the University of Calcutta and has done his Doctoral research on Quantum Computing and related logic design at Indian Statistical Institute, Kolkata, 2004-2008. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He is the recipient of BOYSCAST fellowship award in the area of Engineering Science from the Department of Science and Technology Govt. of India in 2011 and Indian National Science Academy Visiting Scientist Fellowship in 2014. He has held Visiting Scientist position at the GSI Helmholtz research laboratory Germany in 2007, Department of Computer Science and Engineering at the New York State University at Buffalo, U.S.A in 2010, Department of Computer Science and Engineering University of Bremen in Feb 2014, Department of Computer Science and Engineering IIT Kharagpur August 2014 and CERN Geneva in July 2015.

He has published around 70 research papers in referred journals and conferences. He is a Sr. Member of IEEE, Member of ACM and life member of Computer Society of India. His research interests are: Quantum Computing, VLSI design, Embedded System Design, Video and Image Processing Algorithms and Biomedical Signal Processing.

Plenary Talk 03

Prof. Amlan Chakrabarti

xvi

Title: Man Machine Interface to help persons with Severe Disability

Abstract:

The talk would cover a number of different technologies developed based on receiving signal from body part movements, voice, brainwaves etc to understand a person’s intended action. This is then connected to various machines/equipment/appliances to perform the desires action.

Brief Biography:

Prof Prabhat Ranjan is currently Executive Director, TIFAC. TIFAC is set up as a Technology Think Tank and operates as an autonomous body of Dept of Science and Technology, Govt of India.

Earlier he was Professor at Dhirubhai Ambani Institute of Information and Communication Technology(DA-IICT), Gandhinagar for nearly 11 years. His research area was “Embedded Systems and Sensor Networks” and he applied this to Planetary Exploration(e.g. Moon Mission), Wildlife Tracking, Nuclear Fusion, Healthcare and Agriculture. His work on assistive technology to help persons with severe disability has brought smiles to many faces.

Before joining DA-IICT, he was full time scientist working on Nuclear Fusion in National Labs in India and USA.

He obtained his PhD from Univ of California, Berkeley and did college education from IIT Kharagpur and Delhi University. He has received many awards for his contribution to Science and Technology.

Plenary Talk 04

Prof. Prabhat Ranjan

xvii

Title: Local Binary Pattern (LBP) and Gaussian Mixture Model (GMM) based background Modeling for Video Object detection and tracking

Abstract:

Video object detection and tracking has been a key issue in computer vision and has been extensively used in a wide variety of scenario. The problem is challenging due to fact that real world scene is quite dynamic and with changing illumination condition. Therefore, lots of research efforts have been directed for accurate detection of the moving objects of the scene and simultaneously tracking the same to meet a definite objective. Out of many promising approaches, efficient background modeling and subtraction is one the important methods to obtain the fore ground (moving object). In this research, attempts have been made to model the complex background having varying illumination condition and static entities of the background with sporadic dynamic behavior. A variant of LBP has been proposed and the LBP and Gabor filter have been fused to contribute to the background modeling and learning. Similarly another robust approach is Gaussian Mixture Model (GMM) based approach for background modeling. This approach with some initial results will also be presented.

Brief Biography:

Dr. Pradipta Kumar Nanda Obtained his B.Sc(Engg) in Electrical Engineering with First Class Hons from VSSUT, Odisha in 1984 and MSc(Engg.) in Electronic Systems and Communication from NIT Rourkela in the year 1989. He obtained his PhD from IIT Bombay in 1996 in the area of computer Vision.

He has served more than 21 years at NIT Rourkela with the last position as professor and Head of the Department. During his career at NIT Rourkela, He has contributed to the growth of the department and Institute as well.Currently, he is the Dean(Res) of Siksha O Anusandhan University, Bhubaneswar, Odisha.

He has supervised three PhD students at NIT as sole guide. He has guided 34 M.Tech and one M.Tech(Res) student. He has supervised several B.Tech. projects in different areas. Currently, He is supervising 8 PhD 2 M.Tech students. He has completed several AICTE/MHRD sponsored projects and running a collaborative project with Center for soft Computing, ISI Kolkata. He has published 74 papers in various Journals and Conference proceedings and has authored 3 research books and two book chapters . He has visited UK, USA, Malayasia in connection with academic programs. He was a academic visitor to School of Computing, University of Leeds ,UK in March 2006 and delivered lectures to their faculties and students. He has delivered several invited lectures in different workshops/summer and winter schools. He has been program chair of three International Conferences and General

Plenary Talk 05

Prof. Pradipta Kumar Nanda

xviii

chair of an International Conferences. He has organized several National and International Conferences. He has been serving as a expert member of NBA, Govt. of India. He is an expert in DRDO, NITS and many National Level Institutions.

On 14th Feb 2012, he has received the Bharat Jyoti award in a function at New Delhi from Indian International Friendship Society. Received Odisha Technocrat award on 15th Sept 2013 form Ever green forum of Odisha on the Engineers day.

He has chaired sessions in many International and national Conferences. He is a reviewer of IEEE transaction on SMC, IET Computer Vision and Image Processing, International Journals on Pattern recognition Letters, Digital Signal Processing, Journal of Electronics Imaging (SPIE) and many IEEE conferences. He has organized many National and International conferences. He has been program co-chair of 4 International Conferences. He has served as program committee members of many reputed International Conferences.

He is a Fellow of IETE, India and Senior Member IEEE, USA, member IET and life member of ISTE, India. His research interests are Image Processing and Analysis, Bio-medical Image Analysis, Video-tracking, Computer Vision, Soft computing and their applications, and in Ad-hoc wireless sensor networks.

1

PAPER TITLES AND ABSTRACTS(Regular Session)

2

3

17th December, ThursdaySystem Science & Engineering - 1

Time: 11:45AM – 01:15PMVenue: S.C. Bhadra Auditorium

A Data-Based KPI Prediction Approach for Waste Water Treatment Processes

Hao Ju*, Shen Yin*, Huijun Gao*, Okyay Kaynak***Harbin Institute of Technology, Harbin, China, ** Bogazici University, Istanbul, Turkey

In this paper, the Benchmark Simulation Model No. 1, which is designed for the purpose of simulating actual wastewater treatment processes, is introduced and implemented in SIMULINK environment. Then the partial least squares (PLS) model and its kernel version is studied, and wavelet transform is used to carry out the so called multi-scale kernel partial least squares (KPLS). By means of multi-scale KPLS, the prediction of key performance indicator (KPI)–the COD concentration in effluent–is implemented. Simulation results show that this prediction model has strong generalization ability under the condition that the data collected during the wastewater treatment processes are distributed unevenly and coupled tightly.Keywords:-Wastewater treatment, BSM1, KPI prediction, Multi-scale KPLS.

Time Series Prediction QoS Routing in Software Defined Vehicular Ad-hoc Network

Asif Uddin Khan, Bikram Kesari RathaDept of Computer Science, Utkal University, Vani Vihar, Bhubaneswar, India,

Vehicular ad hoc network (VANET) is a valuable and important wireless ad-hoc network which uses advanced wireless technologies. It has become most popular in this digital world of Internet Of Things (IOT) because of it wide verity of applications such as e-commerce on the fly in vehicles, sharing multimedia contents such as audio, video, playing games, multihop dissemination of emergency messages to other vehicles, accessing internet and cloud services on the move. However VANET suffer many challenges such as link failure because of high mobility of vehicles, and also current VANET architecture is not flexible for the wide range of IOT and cloud computing applications. Recently Ian Ku, You Lu, Mario Gerla et.al proposed a new architecture for VANET based on software Defined Networks (SDNs) and they discussed various new services and applications that can be supported by the new architecture. Theyproposed a new routing protocol for VANETS using SDN and compared with existing MANET/VANET protocols and showed better performance. In this paper we show that their protocol still suffers some problems in certain scenario which results performance degradation and an improved routing protocol is proposed and analyzed with better performance.Keywords:- Software-Defined Networking, VANET, wireless networks, open flow, IOT.

4

An Improved Gravitational Search Algorithm and its Performance Analysis for Multi-Robot Path Planning

M. R. Panda*, P. K. Das**, S. K. Pradhan***, H. S. Behera***Research Scholar, SOA University, Bhubaneswar, Odisha, India**Dept. of CSE and IT, VSSUT, Burla, Odisha, India***Dept of Mechanical Engg, CET, Bhubaneswar, Odisha, India

This paper proposes a new methodology to optimize trajectory of the path for multi-robots using Improved Gravitational Search Algorithm (IGSA) in clutter Environment. IGSA technique is incorporated into the multi-robot system in a dynamic framework, which will provide robust performance, self deterministic cooperation, and coping with an inhospitable environment. The robots on the team make independent decisions, coordinate, and cooperate with each other to accomplish a common goal using the developed IGSAs. A path planning scheme has been developed using IGSA to optimally obtain the succeeding positions of the robots from the existing position in the proposed environment. Finally, the analytical and experimental result of the multi-robot path planning were compared with those obtained by IGSA, ABC (Artificial Bee Colony) and DE (Differential Evolution) in a similar environment. The simulation and theKhepera environment result show outperforms of IGSA as compared to ABC and DE with respect to the average total trajectory path deviation and average uncovered trajectory target distance.Keywords:-Gravitational Search Algorithm, multi-robot path planning, average total trajectory path deviation, average uncovered trajectory target distance, average path Length.

Beyond Silicon: Strained-SiGe Channel FinFETs

Rajib K. Nanda, Tara Prasanna Dash, Sanghamitra Das, and C. K. MaitiDept of ECE, ITER, SOA University, Bhubaneswar, Odisha, India

Coupled three-dimensional (3D) process and device simulations have been applied to study the performance of FinFETs to handle the new FinFET-specific design and process challenges. By using an appropriate 3D technology CAD (TCAD) simulation methodology, it is demonstrated that the novel strained-SiGe channel FinFETs may achieve more than 50% performance enhancement compared to Si-channel FinFETs.Keywords:-FinFET, TCAD;

5

Realization of Double Band Hysteresis Current Controller for Single Phase Grid Connected Pulse Width Modulated Voltage Source Inverter

Satyaranjan Jena, Bhabasis Mohapatra, Chinmoy Kumar PanigrahiSchool of Electrical Engineering, KIIT University, Bhubaneswar, India

In the present circumstances in order to gratify the supply demand equation of electrical power the renewable energy source is the only alternative. However it is very difficult to comprehend and exploit renewable energy due to its stochastic character. That’s why it is often cited as an obstacle for the grid integration. In most of the cases current controlled pulse width modulated voltage source inverter is used to interface renewable energy sources with utility grid to improve the efficiency, reliability and power quality of the system. In this paper double band hysteresis current controller for grid connected pulse width modulated inverters has been implemented and the result obtained from simulation is compared with single band hysteresis current controller in terms of switching frequency and total harmonic distortion. The MATLAB-Simulink environment is used to model, study and simulate the system.Keywords:-DBHCC, SBHCC, Utility grid, Switching Frequency, Voltage Source Inverter (VSI), Total Harmonic Distortion (THD).

GECSA: A Game Theory Based Energy Efficient Cluster-Head Selection Approach in Wireless Sensor Networks

Mamata Mishra*, Chhabi Rani Panigrahi**, Joy Lal Sarkar*, Bibudhendu Pati**Dept of CSE, **Dept of IT, C. V. Raman College of Engineering, Bhubaneswar, India

In Wireless Sensor Networks (WSNs), sensor nodes suffer from limited battery power. It is a difficult task to work with sensor nodes in an nergy efficient way because sensor nodes are placed in various geographical locations and once battery is over it is difficult to change. To work with this challenge, in this work we present a Game Theory Based Energy Efficient Cluster-Head Selection Approach (GECSA) based on the Subgame Perfect Nash Equilibrium (SPNE) of game theory. Then based on SPNE decision, the Cluster-Heads (CHs) are selected.For each round and for each cluster nodes play game with each other and a node which is SPNE is selected as a CH. The simulation results show increase in performance of our proposed approach as compared to the existing protocols such as UCR, DEEC, and BEEG. The simulation results are validated through MATLAB.Keywords:-WSNs, Game Theory, Energy Consumption, Residual Energy, SPNE

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17th December, ThursdayCybernetics-1

Time: 3.15 PM - 4.45 PMVenue: Bosch-Rexroth Auditorium

LBP and Weber Law Descriptor Feature Based CRF Model for Detection of Man-Made Structures

Suchismita Behera, P. K. NandaDepartment of ECE. ITER, SOA University, Bhubaneswar, India, 751030

In this paper, we have proposed a combined Local Binary Pattern (LBP) and Weber Law Descriptor (WLD) feature based Conditional Random Field (CRF) model for detection of manmade structures such as buildings in natural scenes. In natural scenes, the structure may have textural attributes or some portions of the object may be apparent as textures. The CRF model learning has been carried out in feature space. The spatial contextual dependencies of the structures has been taken care by the intra scale LBP features and inter scale WLD features. The CRF model learning problem have been formulated in pseudo likelihood framework while the inferred labels have been obtained by maximizing the posterior distribution of the feature space. Iterated conditional mode algorithm (ICM) has been used to obtain the labels. The proposed algorithm could successfully be tested with many images and was found to be better than that of Kumar’s algorithm in terms of detection accuracy.Keywords: -Conditional random field, Local Binary Pattern, Weber Law Descriptor, Intrascale features, Interscale features Conditional random field, Local Binary Pattern, Weber Law Descriptor, Intrascale features, Interscale features

Solution of Multi Objective Linear Fractional Programming Problem by Taylor Series Approach

P. K. De, Moumita DebDepartment of Mathematics, National Institute of Technology, Silchar, Assam, India

This article proposes to handle multi objective linear fractional programming (MOLFP) problems in fuzzy environment. As a generalized mean value theorem first order Taylor series approach is used to convert multi objective linear fractional programming to multi objective linear programming problem by introducing imprecise aspiration level to each objective. Then additive weighted method has been used to get its solution. It has been observed that optimality reached for different weight values of the membership function for the different objective functions. The method has been presented by an algorithm and sensitivity analysis for the fuzzy multi objective linear fractional programming (FMOLFP) problem with respect to aspiration level and tolerance limit are also presented. The present approach is demonstrated with one numerical example.Keywords:- Multi objective linear fractional programming, Fuzzy multi objective linear fractional programming, Taylor series; Additive weighted method, Sensitivity analysis.

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Cut Detection Using Block Based Center Symmetric Local Binary Pattern

T. Kar*, P. Kanungo***School of Electronics Engineering, KIIT University, Bhubaneswar** Dept of ETC, C.V. Raman College of Engineering, Bhubaneswar

Due to the popularity of multimedia technology and digital world, thousands of videos are accessed through internet in seconds. Most of the videos, available in internet for public access are non-edited videos. Efficient way of searching and storage need an efficient method of annotation. Automatic cut detection is the first stage of any automatic annotation process. In this paper we addressed the problem of video segmentation of only non-edited videos by classifying the boundary and non-boundary frames. The efficiency of intensity based cut detection methods decrease with variation of intensity of the scene. The local binary pattern is one of the texture feature which provides a strong spatial correlation among the neighboring pixels, which is also invariant to light variation. Therefore in the proposed method, the block based center symmetric local binary pattern feature vector is used for the detection of shot boundaries in a video. The Euclidean distance between the consecutive frame’s feature vectors is chosen as the similarity measure which is compared with a threshold value to detect the hard cuts in a non-edited video. The proposed algorithm is experimented with seven test videos and its efficacy is validated with few existing popular approaches.Keywords: - Shot Boundary Detection, Histogram, Texture feature, Local binary Pattern, Video segmentation, Euclidean distance.

A Secured SDN Framework for IoT

Kshira Sagar Sahoo, Bibhudatta Sahoo, Abinas PandaDepartment of CSE, National Institute of Technology, Rourkela, India- 769008

In the last couple of years Software Defined Network (SDN) have come into existence which empowers network operators with more flexibility to manage and program their network. This type of network solve the limitation of legacy network. Data plane and control planes are separated from each other as a result data plane devices simple act as a packet forwarding device and leaving the decision making part to a centralized system called controller. Though it has a lot of advantages, still security of SDN is an open issue. In modern day living wireless sensor network (WSN) technologies come across all most all areas which creates another research dimension called IoT where sensors and actuators blend in one piece. Application of SDN architecture in the IoT environment is a higher challenge. In this article we will present the security challenges in SDN and a secured architecture for IoT in an SDN based network.Keywords:- SDN, IoT, Ad-hoc network

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A Novel Delay Based Application Scheduling for Energy Efficient Cloud Operations

Lenka Sri Harsha*, K Hemant Kumar Reddy**, Diptendu Sinha Roy***Department of CSE, GITAM University, Vishkapatnam, India**Department of CSE, National Institute of Science and Technology, Berhampur

Over the past few decades, computing environments have progressed from single-user milieu to highly parallel supercomputing environments, Network of Workstations (NoWs), distributed systems, to more recently popular systems like grids and clouds. Due to its great advantage of providing large computational capacity at low costs, cloud infrastructures can be employed as a very effective tool. However, in order to accommodate for peak computing demands, cloud service providers need to maintain huge computational infrastructure in their datacenters. Power consumption reduction in such datacenters is a major research issue. In this paper, we propose a delayed provisioning approach for applications based on certain parameters which are derived from previous logs such that the number of active servers spawned on new application requests are put under check. Simultaneously, maintaining QoS agreements with users are also taken care of. The experiments to validate the efficacy of the proposed model are carried out on a simulated environment, with varying server and user application and its parameters sizes. The simulation results presented herewith demonstrate the efficacy of the proposed approach both in terms of acceptable SLA as well as acceptable QoS.Keywords: - Cloud Computing, Energy Efficiency, Optimization, Datacenter.

Fast GPU Based Approach for Computing Centroid and Distance for Clustering in Bag of Feature

Vikas Tripathi, Samin Badoni, Sagar Singh BishtGraphic Era University

Bag-of-features representations have recently become popular for content based image classification regarding to simplicity and good performance. The basic idea is to treat images as loose collections of independent patches, sampling a representative set of patches from the image, evaluating a visual descriptor vector for each patch independently, and using the resulting distribution of samples in descriptor space as a characterization of the image. The four main implementation choices are thus how to sample patches, how to describe them, how to characterize the resulting distributions and how to classify images based on the result. We concentrate on the second issue, showing experimentally by parallel approach we can decrease time consumed by the step. As the datasets are very large and takes enormous time to be processed. For reducing time taken by clustering used in bag of feature representation, we have applied parallel implementation for centroid and distance calculation using GPU. Dataset generated from videos. MHI with energy and further HOG descriptor is applied to generate realistic dataset. Our result shows that excess time taken in calculations is reduced which affect the overall time taken by clustering.Keywords:- Bag of feature, GPU, Clustering, Parallel processing

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18th December, FridaySystem Science & Engineering - 2

Time: 11.30AM -1.00PMVenue: Bosch-Rexroth Auditorium

Fault Diagnosis Based on Intelligent Particle Filter

Wei Sun, Jian HouCollege of Engineering, Bohai University, Jinzhou, China.

Practical production systems are usually complex, nonlinear and non-Gaussian. Different from some other fault diagnosis methods, particle filter can applied to nonlinear and non-Gaussiansystems effectively. The particle impoverishment problem exists in the traditional particle filter algorithm, which influences the results of state estimation. In this paper, we conclude that the general particle impoverishment problem comes from the impoverishment of particle diversity by analyzing the particle filter algorithm. We then design an intelligent particle filter (IPF) to deal with particle impoverishment. IPF relieves the particle impoverishment problem using the genetic strategy. In fact, the general PF is a special case of IPF relieves the particular parameters. Experiment on 160 MW unit fuel model shows that the intelligent particle filter can increase the particles diversity and improve the state estimation results.Keywords: - Fault diagnosis, PF, IPF, Genetic Algorithm.

Selective Data Transmission in SNR Based Clustered-Underwater Wireless Sensor Network (CUWSN)

Bandita Sahu*, P. M. Khilar***Padmanava College of Engineering, Rourkela, India**National Institute of Technology, Rourkela, India

In Clustered-Underwater Wireless sensor networks (CUWSNs), battery operated sensing devices are grouped and connected with each other through wireless interfaces. Energy and processing efficiency are the two important parameters in these systems. CUWSNs with reduced number of transmissions utilize less energy and prolong the lifetime of the network. In this paper, a new protocol is proposed which is named as selective data transmission in SNR based cluster(SCSD). In this protocol, clusters are formed and the cluster heads (CH) are chosen depending on the SNR values. The number of transmissions of the cluster head and the sensor nodes are reduced by selectively transmitting the data. It also avoids congestion problem this scheme has been implemented using NS3 and it is observed that residual energy of the sensor node is improved by 2 percent.Keywords: -SNR, Leader Node, Residual Energy space

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Classifier Fusion for Liver Function Test Based Indian Jaundice Classification

Shiladitya Saha*, Sankhadip Saha*, Dr. PinakPani Bhattacharyya ***Dept. of Electrical engg, NSEC, Technocity, Kolkata, India.** Quadra Medical Services Pvt. Ltd., Hazra Road, Kolkata, India.

Health information technology is spreading all over the world to provide right medical advice for healthcare. In this context, this paper describes the application of data mining techniques to identify jaundice by analyzing liver function test reports. Artificial neural network and support vector machine classifiers are employed here for classification on the basis of liver condition. Since correct medical advice is a sensitive decision making process, seeking multiple expert opinions may be a good choice. Henceforth, classifier fusion technique is proposed for this work. Two kinds of classifier fusion techniques viz. Decision template and Dempster-Shafer theory are tested here. Several sets of MLP and SVM classifiers are combined by both the fusion techniques. Results reveal that fused multiple classifier gives better prediction accuracy as compared to single classifier. Hybridization of two ANNs and four SVM classifiers with Dempster-Shafer algorithm gives up to 97.33% of prediction accuracy.Keywords:-Classifier Fusion, MLP, SVM, Liver Function Test, Dempster -Shafer, Decision Template.

A Unified Approach for Identification and Control of SIMO System in Delta Domain

Arindam Mondal*, Prasanta Sarkar***Dept. of EEE, SVIST, Kolkata, India, ** Dept.of EE Engg, NITTTR, Kolkata, India

This paper presents time moment (TM) based methods for continuous time identification and control from discrete-time data using delta operator. The theory of delta operator was used to develop delta time moment (DTM). The DTMs were utilized to develop a few adaptive predictive control schemes in a model reference adaptive control (MRAC) frameworks. These control schemes were used for identification and control of a finite dimensional single input multiple output (SIMO) system in the complex delta domain. The MRAC framework calls for designing a reference model to start with, so that the compensated plant follows the response characteristics of the reference model by adjusting the compensator parameters on real-time basis. Therefore, the reference model parameters were computed in the complex delta domain from the classical time, frequency and complex domain specifications. Apart from stability, required performance criterions were also guaranteed in designing reference model. Four control schemes, namely i) Inverse control using DTM (ICDTM), ii) Pade Adapted Inverse control using DTM with error feedback (PICDTMEF), iii) Plant Delta Time Moment controller (PDTMC) and iv) Pade Adapted Delta Time Moment controller with Error feedback (PDTMCEF) were

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presented in this paper. The computational algorithms were tested with numerical examples which demonstrate the efficacy of these methods.Keywords:- Time moment (TM), Delta time moment (DTM), Model reference adaptive control (MRAC), Single input multiple outputs (SIMO).

Modeling and Optimization of Remote Solar-Wind Hybrid Station for Stability & Reactive Power Management

Asit Mohanty, Meera Viswavandya, Dillip Mishra, SthitapragyanCollege of Engineering & Technology, Bhubaneswar-751003, India,

This paper proposes Particle swarm optimization based TCSC Compensator in solar-wind hybrid station for Reactive power management and transient stability analysis. It also aims to select the setting parameters of TCSC (Thyristor Controlled Series Compensator) controller using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to mitigate small signal oscillations. The standalone hybrid system has been simulated under different loading conditions for which a transfer function model has been considered. Impacts due to variable load, Wind power input and solar insolation have been studied and the detailed behavior of the system has been studied during normal and fault condition. Simulation results related to Reactive power compensation and voltage stability have been improvised with PSO.Keywords:-Transient Stability, GA, PSO, Solar-Wind Hybrid power system, TCSC.

ECHS: An Energy Aware Cluster Head Selection Algorithm in Wireless Sensor Networks

Mamata Mishra, Chhabi Rani Panigrahi, Bibudhendu Pati, Joy Lal SarkarDept. of CSE, C. V. Raman College of Engineering, Bhubaneswar, India

In Wireless Sensor Networks (WSNs), the nodes have limited battery power. It is a challenging task to increase the network lifetime where different nodes possess different energy labels. To better utilize this limited energy, we propose an energy efficient cluster head selection algorithm named as Energy aware Cluster Head Selection (ECHS) based on residual energy of nodes. We have also compared the proposed algorithm with the existing protocols. The simulation results show increase in performance of ECHS as compared to the existing approaches.Keywords:- WSNs, Energy-Consumption, Residual Energy

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18th December, FridayHuman-Machine Systems-1

Time: 11.30AM -1.00PMVenue: ORACLE Lab

GSM Enabled Wristwatch to Send Distress Message Consisting Location Co-ordinates Obtained Using Cell Tower Triangulation

Vanshaj Sikri*, Tushar Kundra***Dept of ECE, **Dept of EEE, Delhi Technological University, Delhi, India

Even today, an abominable lull is created when Indian women step out with a niggling fear in their minds about their safety. We often hear about rape cases that make our blood run cold. Newspapers are testimonies to the fact that India is yet to break the shackles of such maladies that beleaguer its female citizens. The cause can be imputed to the time gap between the actual time of the crime and its time of reporting to the police. If somehow the victims could convey their plight in real time, then the problem can be subdued. In this paper we propose a wristwatch that sends distress signals and location coordinates of the user to the relatives of the user and to the police helpline number. Our wristwatch uses Cell Tower Triangulation method to localize a user. Our watch is very cheap and efficient. It uses GSM module and 8-bit AVR microcontroller. We also tested the accuracy of our watch in Urban, Semi-Urban, and Rural areas of Delhi.Keywords:- Women Safety; Distress Message; Wristwatch; Tracking System; Cell Tower Triangulation; GSM

Review on Haptics Technology and its Modeling, Rendering & Future Applications on Texture Identification.

Dadi Ravikanth*, Manisha Mishra**, P. Hariharan**Department of Manufacturing Engineering, CEG, Anna University, Chennai.**Department of ETC, C.V.Raman College of Engineering, Bhubaneswar, Odisha, India.

Haptics technology deals with sense of touch and kinesthetic learning through actuators. Haptics is classified into human haptics, machine haptics, and virtual augmented reality. This review paper focuses on explaining haptics through texture modeling of various surfaces by measuring tool classification and also studies equations, errors and future applications of haptics through texture identification.Keywords:- Human haptics, machine haptics, augmented, modeling, tools, errors, equations, texture.

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Development of an Automatic Monitoring and Control System for the Objects on the Conveyor Belt

D. S. V. Siva Vardhan, Y. Shivraj NarayanVNR VignanaJyothi Inst. of Engineering and Technology, Hyderabad, India

Belt conveyors are durable and reliable components used in the industries for transporting material. Conveyors producing single type of component at a time generally monitor and control a single type of object. However, ifthere are more objects, then another system needs to be developed. This paper presents the design, fabrication and validation of a prototype of an automatic monitoring and control system designed for probing various types of objects on a belt conveyor. This system uses Allen Bradley MicroLogix PLC for controlling and feedback sensors for monitoring the objects. The production capacity of the system can be set in the program which can be easily altered satisfying the seasonal demand. The system stops automatically after reaching the desired production. In order to validate the designed system, experiments are performed using Taguchi’s methodology wherein parameters like position, orientation, filling time, material type and types of objects i.e. trays and bottles are studied elaborately.Keywords:- Belt conveyors; PLC; optical sensor.

Feature Extraction of ECG Signal for Detection of Ventricular Fibrillation

Monalisa Mohanty*, Pradyut Kumar Biswal**, Sukanta Kumar Sabut****Dept. of ECE, ITER, SOA University, Bhubaneswar, India**Department of Electronics engineering IIIT Bhubaneswar, India*** Dept. of Electronics and Instrumentation, ITER, SOA University, India

Ventricular fibrillation (VF) is the intense arrhythmia condition which is the major cause of cardiac arrest.Quick and precise detection of VF is crucial for the success of delivering an electrical shock through defibrillator to save life. Feature extraction algorithms have been used in electrocardiogram (ECG) signal to extract temporal and spectralparameters for rhythm detection. In this paper, we present different arrhythmias detection algorithms for feature extraction of ECG signal. Seven parameters both temporal and spectral features are computed for normal and abnormal conditions of ECG signals. The algorithms are tested and the results are compared with widely recognized databases of MITBIH, SVDB. The extracted features may be used to improve the efficiency of machine learning algorithms for detection of life-threatening arrhythmias.Keywords: - Cardiac arrest, ventricular fibrillation, electrocardiogram (ECG), arrhythmias, feature extraction

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User Interface System of an Assistive Kitchen for Aging People

Sidhartha Dehingia, Nayan M. Kakoty, Rupesh Gokhlani, G. Vara Prasad, Saurav J. Sarma and Durlav SonowalSchool of Engineering, Tezpur University, Tezpur, INDIA

Performing the daily living activities (dla) without anybody’s aid becomes challenging for aging people. The ones in the kitchen among dla plays a crucial role. Despite serious research efforts and well-documented progress in user interface systems for human machine interface; comparatively small amount of work has been reported on designing an user interface system for aging people to perform the dla in the kitchen. This paper reports the development of an user interface system to provide aid in overcoming planning, initiation and attention which the user may experience while performing dla in the kitchen. The system is comprised of an electrically isolated virtual switch based user interface module and a finite state machine based decision making unit (DMU). The user interface generates cues and prompts in the form of texts and graphics as visual feedback of the status of interaction by the user and facilitates to select the items to be used for a desired activity. The DMU seek to understand the user’s intention, derive the decision for the intended activity and accordingly generate a command for the assistive systems in real timeKeywords: -User Interface System, Human Machine Interface, Finite State Machine

18h December, FridaySystems Science & Engineering-3

Time: 3.15 PM - 4.45 PMVenue: Bosch-Rexroth Auditorium

Conceptual Design of an Underwater Robot

Homagni Saha, D. R. ParhiDepartment of Mechanical Engineering, NIT Rourkela, Odisha, India

This paper proposes a conceptual design and preliminary analysis of an underwater autonomous vehicle with a primary aim of high mobility and localization capability in unknown environments autonomously. The entire mechanical and electronic design considerations are elucidated and the general data acquisition system which includes the image processing system is also described. The effectiveness of the design is validated using solid works simulation and motion analysis. Focus has also been given on underwater stability of the system as a whole. Keywords:- autonomous underwater vehicle, thruster, underwater image processing, solid works

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Stability Analysis of Active Queue Management Techniques

Sunil Kumar Mohapatra, Sukant Kishoro Bisoy, Prasant Kumar DashDepartment of CSE, C. V. Raman College of Engineering, Bhubaneswar, India.

Due to enormous growth of Internet, demands for multiple access and request for services have also increased significantly. As a result there is congestion in the network where buffer management plays an important role. Traditionally, Drop tail was used as buffer management techniques along with TCP. Due to large queuing delay and TCP synchronization problem of Drop tail, Active Queue Management (AQM) techniques has been used to overcome the problem. Active Queue management has been proposed as one of the router based congestion control mechanism for early detection of congestion inside the network and helps end devices to control the congestion. However to get higher throughput and better link utilization, the queue length needs to be more stable. In this paper we analyzed the stability and oscillatory behavior of various AQM techniques like Random Exponential Marking (REM), Adaptive Virtual Queue (AVQ), Random Early Detection (RED), Gibbs Kelly (GK), and Proportional Integrator (PI) with Drop Tail (DT) including RED variants such as RED, Gentle RED (GRED) and Nonlinear RED (NLRED), Adaptive RED (ARED), Refined ARED (Re-ARED). Our results using NS2, indicate that RED able to stabilize the queue length at given target and achieve higher throughput by minimizing the oscillation than others. However among RED and its variants NLRED performs better in terms of aggregate throughput and stabilizes the queue length than others.Keywords:-AQM, Stability, Oscillatory, Queue Length and NS2.

Performance Evaluation of Wireless Propagation Models for Long Term Evolution Using NS-3

Sanatan Mohanty, Sangeeta MishraDepartment of ECE, Silicon Institute of Technology, Bhubaneswar

Long Term Evolution (LTE) is the 4G wireless broadband access technology aimed at providing multimedia services based on IP networks. It has been designed to improve system capacity and coverage, improve user experience through higher data rates and reduced latency, reduced deployment and operating costs, and seamless integration with existing communication systems. This paper concerns about the wireless propagation models, which plays a very significant role in planning of any wireless network. In this paper, a comparison has been presented among the different propagation models both in terms of path loss and computational complexity using the NS-3 simulator.Keywords: -LTE, NS-3, Path loss, Propagation model, 3GPP

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Test Bench Automation to Overcome Verification Challenge of SOC Interconnect

Srikant Kumar Mohanty, Suchismita Sengupta, S K Mohapatra.Dept of ECE, Centre for Advanced Post Graduate Studies, BPUT, Odisha.

With the increasing number of Intellectual Property (IP) cores in the today’s system on chip (SOC), verification of Interconnect Bus matrix becomes a critical and time consuming task. Development of verification platform for complex SOC Interconnect takes several weeks considering it supports different kinds of protocol, large number of master and slave ports with multiple transaction types. To reduce overall time-to-market for SOC delivery, it is crucial to verify Interconnect in a very narrow time frame. In this research article, we present Test Bench (TB) automation solution for verifying completeness and correctness of data as it pass through interconnect fabric. Automation reduces verification effort by automatically creating authenticated infrastructure, stimulus vector and coverage model to support all transactions exchanged between Masters and Slaves within an SOC. This approach enables a protocol independent scoreboard to check data integrity and verify different data path transactions fo and from each port of bus fabric. We applied the proposed solution to various bus matrix testing which lead to 40% save in verification cycle.Keywords: -Test Bench, SOC, Verification, Automation, VIP

Implementation of 10bit SerDes for Gigabit Ethernet PHY

Smrutilekha Samanta, Ananya DastidarDept. of ECE, Center for Advanced Post Graduate Studies, BPUT, Odisha.

Serializer/Deserializer (SerDes) is a pair of functional block which play a vital role in manyelectronic devices used for high speed communication. The basic SerDes function is made up of two functional blocks: the Parallel in Serial out (PISO) block and the Serial in Parallel out (SIPO) block. An efficient SerDes offer high speed and low power consumption. In this paper an attempt is made to optimize the design for high speed and low power SerDes for wideband communication such as Ethernet applications. The power consumption and data transfer rate of the proposed design was calculated to be 737 mW and 25 Gb/s respectively. Keywords:-SerDes, Ethernet, SIPO, PISO

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Building Semantics of E-agriculture in India: Semantics in E-agriculture

Sasmita Pani, Jibitesh MishraDepartment of IT, College of Engineering and Technology, Bhubaneswar, India

There exists various web based agriculture information systems. These systems are providing required information to farmers about different crops, soil, different farming techniques etc. These web based agriculture information systems deal with numerous kinds of data but they don’t maintain consistency and semantics in data. Hence ontology is used in web and provides meaningful annotations and vocabulary of terms about a certain domain. Here in this paper we are building ontology in agriculture system in web ontology language (OWL). This paper shows various classes and subclasses using OWL DL in protégé 5.0 for an e- agriculture information system. This paper also provides various classes and subclasses and relationship among the classes in UML class diagram for a web based agriculture information system or agriculture.Keywords:-agriculture, ontology, owl dl, owl asserted model

18th December, FridayCybernetics-2

Time: 3.15PM - 4.45PMVenue: ORACLE Lab

A Novel Biclustering Based Missing Value Prediction Method for Microarray Gene Expression Data

Shilpi Bose*, Chandra Das*, Samiran Chattopadhyay***Department of CSE, NSEC, Kolkata, 700 152, India** Dept of IT Jadavpur University Kolkata, 700 092, India

The presence of missing values in microarray gene expression data creates severe problem during downstream data analysis as analysis algorithms require complete gene expression profile. In order to get rid of these missing entries effective missing value prediction methods are essential to generate complete data. In this regard, a new bi clustering based sequential missing value imputation method is proposed here to predict missing values in microarray gene expression data. Starting from the gene with lowest missing rate, for each missing position, the proposed method computes a bi cluster by selecting a subset of similar genes and a subset of similar samples or conditions using a novel distance measure. Then the imputation is carried out sequentially by computing the weighted average of the neighbor genes and samples. To evaluate the performance, the proposed method is rigorously tested and compared with some of the well known existing methods. The effectiveness of the proposed method, is demonstrated on different microarray data sets including time series, non time series, and mixed.Keywords:-Microarray, Gene expression data, Missing value estimation, Bi clustering.

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Hyperspectral Imaging Data Atmospheric Correction Challenges and Solutions Using QUAC and FLAASH Algorithms

Amol D. Vibhute, K. V. Kale, Rajesh K. Dhumal, S. C. MehrotraDr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

Recently, Hyperspectral remote sensing technology has been proved to be a valuable tool to get reliable information with details for identifying different objects on the earth surface with high spectral resolution. Due to atmospheric effects the valuable information may be lost from hyperspectral data. Hence it is necessary to remove these effects from hyperspectral data for reliable identification of the objects on the earth surface. The atmospheric correction is a very critical task of hyperspectral images. The present paper highlights the advantages of hyperspectral data, challenges over it as a pre-processing with solutions through QUAC and FLAASH algorithms. The hyperspectral data acquired for Aurangabad district were used to test these algorithms. The result indicates that the size of hyperspectral image can be reduced. The ENVI 5.1 software with IDL language is an efficient way to visualize and analysis the hyperspectral images. Implementation of atmospheric correction algorithms like QUAC and FLAASH is successfully carried out. The QUAC model gives accurate and reliable results without any ancillary information but requires only wavelength and radiometric calibration with less time than FLAASH. Keywords:-Hyperspectral data, Hyperion, QUAC, FLAASH, atmospheric correction.

A New Adaptive Switching Approach for Impulse Noise Removal from Color Images.

Keisham Pritam Das, Kh. Manglem SinghDepartment of ECE, National Institute of Technology Manipur Imphal, India

A new adaptive switching approach is presented in which the detection of noise is based on entropy of the pixels. Then the detected noisy pixels are replaced with the output of a fuzzy weighted filter. With a little increase in computational complexity over the basic Vector median filter and its varieties, this technique works well both in lower and higher noise ratios. Simulation results show that this method outperforms many other existing nonlinear filters in terms of noise reduction and fine details preservation. This technique can also be extended for images corrupted with Gaussian noise and mixed Gaussian and Impulse noise.Keywords:-Entropy, Fuzzy, Gaussian, Impulsive Noise, vector.

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Empirical Analysis of Dense Matrix Multiplication on Shared and Distributed Memory Clusters

Bhabani Sankar Samantray, Debananda KanharComputer Science and Engineering, NIST, Berhampur, India,

In this paper we present two dense, square matrix multiplication algorithms, and give a comparative analysis and performance evolutions of the algorithms in distributed memory and shared memory architecture. In this paper, we explore the performance of Rocks cluster and Beowulf cluster. Beowulf cluster is the distributed memory parallel computers and rocks 5.4 (Maverick) is the CentOS based high performance Linux cluster having shared memory architecture. In this study, we first build a Beowulf cluster by connecting 16, Pentium 4 personal computers with 100 Mb Fast Ethernet. We evaluate the execution time, speedup and Efficiency of the simple block checkerboard partitioning algorithm and the most popular cannon’s algorithm based on block checkerboard. The topology used for communication is 2D mesh. In these algorithms we used the message passing using MPI with C. We analyze the performance of the algorithms in our experimental platforms i.e Beowulf Cluster and Rocks Cluster.Keywords:- clustering, parallel processing, matrix multiplication algorithms, 2D mesh topology, distributed computing.

Soil Type Classification and Mapping using Hyperspectral Remote Sensing Data

Amol D. Vibhute, K. V. Kale, Rajesh K. Dhumal, S. C. MehrotraDr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

Hyperspectral remote sensing has been widely used for mapping of soil, its classification and also its texture description. It is beneficial in urban and rural management. The present work reports the study regarding classification soil analysis using Support Vector Machine (SVM). Hyperion Hyperspectral satellite data with 10nm fine spectral resolution of Phulambri region of Aurangabad district of Maharashtra (India) which lies between 20° 06' N latitude and 75° 25' E longitude was used for soil classification. Gaussian Radial Basis Function (RBF) kernel of SVM was used to extract five various soils types and achieved overall accuracy of 71.18% and with Kappa Value of 0.57 having sufficient training samples. It was found that the soil of the region may be classified in five categories. The maximum area (51 %) was covered by the brown sandy soil, whereas the minimum (.02%) by gray clay soil. The result is of great significance for soil analysis of very complex region without reduction of dimensionality in satellite data. Keywords: - Support vector machine, Hyperspectral remote sensing, Soil analysis, Satellite image classification, Accuracy assessment.

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A Comparison Study Among GPU and Map Reduce Approach for Searching Operation on Index File in Database Query Processing

Abhaya Kumar Sahoo, Sundar Sourav Sarangi, Rachita MisraDepartment of IT, C. V. Raman College of Engineering, Bhubaneswar, India

As amount of data in different form is increased day by day; it is very difficult to process it. This unstructured form of data cannot be easily retrieved through query processing. Normally SQL query acts on structured data. To convert unstructured data into structured data, Hadoop provides map reduce approach. Instead using map function, we can use GPU approach for processing data in parallel and then we can use reduce function on processed data. Here we compare two approach i.e. map-reduce approach and gpu-reduce approach to calculate performance measurement for searching index file. As Hadoop is a framework which is purely based on Java, we use JCUDA programming language to implement gpu-reduce approach.Keywords: - Database Query Processing, GPU, Index file, JCUDA, Map-Reduce

19th December, SaturdayCybernetics-3

Time: 10.30 AM -12.00 PMVenue: Bosch-Rexroth Auditorium

Non-Linear Method Used for Distortion Correction of Fish-Eye Lens: Comparative Analysis of Different Mapping Functions

Utkarsh Tiwari, Utkarsha Mani, Susmit Paul, Nutanlata NathDept. of E.E.E., B.I.T. Mesra, Ranchi

A fish-eye camera equipped with fish-eye lens is capable of providing a wider field of view (close to 180º), which makes it useful for surveillance, security, flight simulators, visual combat simulators, hemispherical photography, astrophotography and ADAS (Advanced Driver’s Assistance System) widely. Though such lenses are considered a key component of the next-generation of cameras, the frames captured suffer from high scale distortion. Thus, fish-eye lens distortion correction techniques and algorithms have been developed to remove such distortions, when required. This paper presents a generalized method for generating undistorted images taken by cameras having fish-eye lenses mounted on walls, ceilings, floors and vehicles at any pitch or tilted angle. Pitch here refers to the angle of the camera lens from the horizontal. The proposed approach comprises of mainly two steps, viz. correcting the fish-eye lens images to rectilinear images, and rescaling the generated output image to the same aspect ratio as of input image. The images captured by the used fish eye lenses possess barrel distortion, for correction of which a non-linear and no iterative method is usedKeywords: - Fish-Eye Image, ADAS, Barrel Distortion, Lens Distortion Correction, Inverse Mapping.

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Design of Add Drop Filter For ITU-T G.694.2 CWDM Systems Using 2-D Photonic Crystal Square Ring Resonator

Ekta Kumari, Pawan Kumar InaniyaDepartment of ECE, Govt. Women Engg. College Ajmer, India

In this paper, we designated and performed the add/drop filter using the photonic crystal ring resonator (PCRR) in square configuration. The structure comprises of square lattice and silicon rods that are enclosed by air. Radius of silicon rod is 0.1 μm with index of refraction is 3.47. The proposed structure is realized by make use of the Finite Difference Time Domain (FDTD) method. 100% efficiency is arrived at 1491 nm and 1551 nm through with the bus waveguide as well as drop waveguide on an individual basis. Photonic Band gap of the proposed structure has been figured out by plane wave expansion method (PWE). The designated filter having ultra miniature size and also worthwhile for DWDM system.

Keywords: - Photonic band gap (PBG), Photonic Crystal (PCs), square resonator, FDTD method, PWE method, add drop filter

Normal and Abnormal Event Detection Using MHI and HOG

Vikas Tripathi, Sheetal Bhatt, Shreya GargGraphic Era University, India

Human activity recognition is a subject of great pursuit in computer vision with a goal to recognize actions from different agents. It aims to apprehend actions from a succession of observations on human motion and surroundings. Significant research has been dedicated to human activity detection with its increasing demand in computer vision across the world corresponding to its various applications involving background locations and movements. In this paper we propose a framework which can effectively distinguish normal and abnormal human activities from a video. Our approach inculcates the use of Motion History Image (MHI) and Histogram of Gradient (HOG) to extricate suitable features from a video. We have furtheranalyzed through Random Forest to validate our results. An average accuracy rate 93.95% has been achieved during the testing on designed dataset, where the proposed framework has been able to spot out normal and abnormal activities efficiently.Keywords: - MHI, HOG, Activity recognition, Random forest

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Data Mining Techniques in Indian Healthcare: A Short Review

Amit Kumar Das*, Aman Kedia**, Lisha Sinha**, Saptarsi Goswami**, Tamal Chakrabarti**, Amlan Chakrabarti****Dept of CSE, University of Engineering and Management, Kolkata, India**Dept of CSE, Institute of Engineering and Management, ***School of IT, University of Calcutta

Healthcare is a fast-growing field in developed and developing countries alike. Indian healthcare has also witnessed rapid growth in the recent past. The data generated is of very high volume and exhibit wide diversity, and hence data mining opportunities available in various areas of health care industry are immense. In this paper, a brief review of data mining applications in healthcare has been presented. The key differentiating factors of the paper is its focus on India and a patient lifecycle oriented view of the problems. As found by the study, most of the researches have been focused on predicting a disease which is a part of ongoing care management. This paper presents many uncharted areas of future research in this domain especially in Indian context.Keywords:- Data Mining, Healthcare, Predictive Analytics, India

Architecture of Efficient Word Processing Using Hadoop Map Reduce for Big Data Applications

Bichitra Mandal, Ramesh Kumar Sahoo, Srinivas SethiIGIT Sarang, India

Understanding the characteristics of Map Reduce workloads in a Hadoop, is the key in making optimal and efficient configuration decisions and improving the system efficiency. Map Reduce is a very popular parallel processing framework for large-scale data analytics which has become an effective method for processing massive data by using cluster of computers. In the last decade, the amount of customers, services and information increasing rapidly, yields the big data analysis problem for service systems. To keep up with the increasing volume of datasets, it requires efficient analytical capability to process and analyze data in two phases. They are mapping and reducing. Between mapping and reducing phases, Map Reduce requires a shuffling to globally exchange the intermediate data generated by the mapping. In this paper, it is proposed a novel shuffling strategy to enable efficient data movement and reduce for Map Reduce shuffling with number of consecutive words and their count in the word processor. To improve its scalability and efficiency of word processor in big data environment, repetition of consecutive words count with shuffling is implemented on Hadoop. It can be implemented in a widely-adopted distributed computing platform and also in single word processor big documents using the MapReduce parallel processing paradigm.Keywords:-Big Data, Hadoop, Map Reduce, Word Processor

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Identification of Plant Species using Non-Imaging Hyperspectral Data

Amarsinh B. Varpe, Yogesh D. Rajendra, Amol D. Vibhute, Sandeep V. Gaikwad, K.V. Kale

GTR Laboratory, Dept of CSE and IT, Dr. B. A. M. University, Aurangabad, India.

Hyperspectral non-imaging data provides the spectral range from 400-2500nm which has the ability to identify each and every unique materials on the surface. The plant species identification is critical task manually and computationally. In the present paper, we have proposed plant species identification system based on non-imaging hyperspectral data and designed our own database for experiment. Also we have identified various plant species and performed support vector machine (SVM) algorithm on it for recognition. The overall accuracy 91% was achieved through SVM. Keywords:-hyper spectral data, identification of plant, Support Vector Machine.

19th December, SaturdayCybernetics & Human-Machine Systems

Time: 10.30AM -12.00PMVenue: ORACLE Lab

Automation of Metal Charge Calculations using Support Vector Machine

A Arjuna Rao*, K Sujatha**, N Murthy Saragada*, Matta S Sastry*, K Rajendra Prasad**MESGI, Bhogapuram, Vizianagram, India, ** CSE Department, GITAM University, Visakhapatnam, India

Charge calculations are an important aspect of a metal which is used to manipulate metal efficiency. Approximating charge of metal is the key area which involves many foundry calculations. However, manual calculations involve many overheads and are not reliable. Recently some computerized techniques are used but it requires huge input based on assumptions. Automation of metal charge calculations is a prominent solution which targets this problem. Charge calculations manual process is burden and automated process can be used effectively. We have to propose system automated process for metal charge calculations is an efficient. Support Vector Machine Algorithm is used to optimize the data. The Automation of Metal Charge Calculations using SVM system is developed and tested on sample data work for foundry industry.Keywords:-Charge calculations, Automation of metal charge calculations (AMCC), Support Vector Machine (SVM), foundry industry), Automation of Metal Charge Calculations using SVM (AMCC_SVM)

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Eye Tracking Based Human Computer Interaction Applications and Their Uses

Sushil Chandra*, Greeshma Sharma*, Saloni Malhotra**, Devendra Jha***, Alok Prakash Mittal*****Institute of Nuclear Medicine and Allied Science, DRDO, India** Banasthali University, ***Scientific Analysis Group, DRDO, Delhi, India****Netaji Subhas Institute of Technology, New Delhi, India

With the evolution of Eye Tracking from a concept to reality, it is being explored scientifically these days in Human Computer Interaction in order to record the eye movements to determine the gaze direction, position of a user on the screen at a given time and the sequence of their movement. The threefold objective of this paper include introducing the reader to the key aspects and issues of eye-movement technology, practical guidance for developing an Eye tracking application, and various opportunities and underlying challenges to develop (Man and Machine Interfacing) MAMI systems using Eye tracking. We have uniquely integrated The Eye Tribe with Unity5.1.1 and through an experiment, we have also inferred that a subject with and without bifocal glasses show relatively similar fixation results if they have correct vision but the results differ with small error if the eye is corrected using lenses. Another experiment using Eye Tribe shows that gaze input requires less time as compared to the mouse input.Keywords:-Eye Tracking, Unity, Eye gaze input, MAMI-Man and Machine Interface, HCI-human Computer Interface

Idle Lock Based Privacy Preserving Secured Web Browser

A Arjuna Rao*, K Sujatha**, A Uday*, N Naree Mani**Miracle Educational Society Group of Institutions, Bhogapuram, Vizianagram, India**CSE Department, GITAM University, Visakhapatnam, India

Providing security for an idle browser is a critical task. Now a day’s web browser has become a very important tool for day to day life in internet world. Keeping the importance of user’sprivacy, user’s private information must be secured with the help of a strong unbreakable security feature, otherwise one can easily violate user’s privacy. A secured mini size web browser – named Turtle Mini is developed and tested for its performance under various test conditions. This paper proposes the concept of browser lock is introduced based on the idle time as per user choice by the user at the time of opening the browser. The idea of this security service is to provide a 4-digit pin while starting the browser, while using the browser if the user left the system idle for certain time then the browser locks and ask the user to enter the password to continue browsing. Hence other users cannot access the contents of the former user. The Privacy Preserving Secured Web Browser Turtle Mini is simulated and the test results show that the proposed system is secured and flexible. The feedback is collected from various user communities and is presented. Turtle Mini works even without lock time for general browsing

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purpose by proceeding without lock option. This browser offers general features like any other popular browsers such as bookmarks, browsing history, progress bar etc. with less memory.Keywords:- Secured web Browser, security, idle browser, browser lock, security service, Privacy Preserving Secured Web Browser(PPSWB)

Analysis of Levenberg-Marquardt and Scaled Conjugate Gradient Training Algorithms for Artificial Neural Network Based LS and MMSE Estimated Channel Equalizers

Soumya Mishra*, Rajashree Prusty**, Pradosh Kumar Hota** C. V. Raman College of Engg, Bhubaneswar, India, **Bhubaneswar, India

Multilayer perceptron (MLP) based artificial neural network (ANN) equalizers, deploying back propagation (BP) training algorithm, have been profusely used for equalization earlier. However this algorithm suffers from slow convergence rate, depending on the size of network. In this paper, Levenberg-Marquardt and Scaled Conjugate algorithms are proposed to train an MLP based ANN for least square (LS) and minimum mean square (MMSE) estimated channel coefficients using MPSK and MQAM modulation techniques. The key analytical performance measures are comprehended in terms of three parameters i.e regression, validation and training state. Based on the regression parameter, Scaled Conjugate method outpaces Levenberg-Marquardt and on the basis of Mean Squared Error (MSE), it is seen that the Levenberg-Marquardt has better accuracy than Scaled Conjugate. Keywords:- ANN, MLP, LS, MMSE, MPSK, MQAM.

Big-Data Empowered Cloud Centric Internet of Things

Ranjit Kumar Behera*, Shyam Gupta*, Akash Gautam**Department of CSE, NIST, Palur Hills, Berhampur, India.

Internet of things (IoT) is an emerging technology that is attaining maturity under which the objects surrounding humans will be blessed with internet. This would result in generation of humongous amount of data which need to be stored and processed for getting optimum benefit from IoT. In this paper we have proposed a generalized architecture which uses Cloud Computing and Big Data for effective storage and analysis of data generated. In a more specific architecture we have shown how Hadoop ecosystem is used as a Big Data solution to help in analyzing the sensor based data produced by IoT system. A case study presented herewith include Smart Power Management system demonstrate the application of the proposed model.Keywords: - Cloud Computing, Big Data, Internet of Things, Hadoop and Smart Power

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A Novel Hybrid Approach to List Accessing Problem using BIT Algorithm

Banhisikha Samanta, Shiba Prasad DashDept. of CSE, Center for Advance Post Graduate Studies, BPUT, Odisha, India.

List accessing problem is associated with the searching and sorting of unordered records arranged linearly. Many approaches are followed and invented since more than four decades such as self-organizing linear lists in order to obtain a minimal cost for accessing the list. This paper introduces a hybrid method that is the combination of Move to Front (MTF) and transposes (TRANS) methods for the list accessing problem which results in a minimum of total access costs as compared to the cost of accessing of list using individual methods. Our paper also uses the randomized bit algorithm and look ahead concepts for obtaining the self-organizing linear list. Key words:- list accessing problem, self-organizing linear lists, hybrid algorithm, move to front (MTF), transpose (TRANS), BIT algorithm, Look ahead.

Data Reduction in MANETs Using Forward Feature Construction Technique

Bandana Mahapatra, Srikant PatnaikComputer Science Engineering, ITER, Siksha ‘O’ Anusandhan University

With limited resource of nodes in Manets, achieving efficiency of a resilient and a secured network is always a challenge. Implementing any algorithm to enhance performance in such a node may result in lowering the lifetime of the network and affects the efficiency of the nodes adversely. Data regression on an incoming data in a node makes the Algorithm more efficient with respect to time and space thereby improving the performance. Apart from that the Algorithm also removes the noise factor from the data before it undergoes any process. The paper proposes the idea of preprocessing the incoming data into a node in a Manet using Sequential Feature Analysis as a Data regression Technique.

Keywords: - Sequential Feature Selection, Reduct formation, Wireless Ad Hoc Network, Dat.a Regression technique.

Author Index

Badoni Samin, 8Behera H. S., 4Behera Ranjit Kumar, 25Behera Suchismita , 6Bhatt Sheetal , 21Bhattacharyya Pinak Pani, 10Bisht Sagar Singh, 8Bisoy Sukant Kishoro, 15Biswal Pradyut Kumar, 13Bose Shilpi, 17Chakrabarti Amlan , 22Chakrabarti Tamal , 22Chandra Sushil, 24Chattopadhyay Samiran, 17Das Chandra, 17Das Amit K., 22Das Keisham Pritam, 18Das P.K., 4Das Sanghmitra , 4Dash Shiba Prasad, 26Dash Prasant Kumar , 15Dash Tara Prasanna , 4Dastidar Ananya , 16De P.K.,6 Deb Moumita , 6Dehingia Sidhartha , 14Dhumal Rajesh K. , 18, 19Gaikwad Sandeep V. , 23Gao Huijun , 3Garg Shreya , 21Gautam Akash , 25Gokhlani Rupesh , 14Goswami Saptarsi , 22Gupta Shyam , 25Hariharan P., 12Hota Pradosh Kumar,25Hou Jian, 9

Inaniya Pawan, 21Jena Satyaranjan , 5Jha Devendra, 24Ju Hao , 3Kakoty Nayan M. , 14Kale K.V. , 18, 23, 19Kanhar Debananda , 19Kanungo P., 7Kar T., 7Kaynak Okyay, 3Kedia Aman, 22Khan Asif Uddin , 3Khilar P. M. , 9Kumari Ekta , 21Kundra Tushar , 12Lenka Sri Harsha, 8 Mahapatra Bandana , 26Maiti C.K. , 4Malhotra Saloni , 24Mandal Bichitra , 22 Mani Utkarsha , 20Mani N Naree, 24 Mehrotra S.C. , 18, 19Mishra Soumya , 25Mishra Dillip , 11Mishra Jibitesh , 17Mishra Mamata , 5Mishra Manisha , 12Mishra Sangeeta, 15Misra Rachita , 20Mittal Alok Prakash, 24Mohanty Sanatan , 15Mohanty Monalisa, 13Mohanty Srikant Kumar, 16Mohanty Asit , 11Mohapatra Sunil Kumar , 15Mohapatra Bhabasis, 5

Mohapatra S.K., 16 Mondal Arindam, 10Nanda P. K. , 6Nanda Rajib K., 4Narayan Y. Shivraj , 13Nath Nutanlata, 20Panda Abinas , 7Panda M. R. , 4Pani Sasmita , 17Panigrahi Chhabi Rani, 5Panigrahi Chinmoy Kumar , 5Parhi D. R. , 14Pati Bibudhendu , 5Patnaik Srikant, 26Paul Susmit, 20Pradhan S. K., 4Prasad G. Vara , 14Prasad K Rajendra, 23Prusty Rajashree, 25Rajendra Yogesh D., 23Rao A Arjuna , 23, 24Ratha Bikram Kesari , 3Ravikanth Dadi , 12Reddy K Hemant Kumar , 8Roy Diptendu Sinha , 8Sabut Sukanta Kumar, 13Saha Homagni , 14Saha Sankhadip, 10Saha Shiladitya, 10Sahoo Abhaya Kumar , 20Sahoo Ramesh Kumar, 22

Sahoo Bibhudatta, 7Sahoo Kshira Sagar, 7Sahu Bandita, 9Samanta Banhisikha, 26Samanta Smrutilekha , 16Samataray Bhabani Shankar, 19Saragada Narasimhamurthy, 23Sarangi Sundar Sourav , 20Sarkar Joy Lal, 5Sarkar Prasanta, 10Sarma Saurav J., 14Sastry Matta Shankara, 23Sengupta Suchismita , 16Sethi Srinivas , 22Sharma Greeshma, 24Sikri Vanshaj , 12Singh Kh. Manglem, 18Sinha Lisha , 22Sonowal Durlav , 14Sthitapragyan, 11Sujatha K ., 23, 24Sun Wei, 9Tiwari Utkarsh, 20Tripathi Vikas, 8, 21Uday A. , 24Vardhan D. S. V. Siva, 13Varpe Amarsinh B., 23Vibhute Amol D., 18,23, 19Viswavandya Meera , 11Yin Shen , 3

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