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Journal of Computer
Technology & Applications
www.stmjournals.com
ISSN: 2347 - 7229
Jan-April 2014
(JoCTA)
STM JOURNALSScientific Technical Medical
STM Publication, a strong initiative by Consortium E-Learning Network Private ltd.(Estd. 2006) was launched in the
year 2010 under the support and guidance by our esteemed Editorial and Advisory board members from renowned
institutes.
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Journal of Computer Technology & Applications
Journal of Computer Technology & Applications
(ISSN: 2347-7229)
?Computer Technology
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Mr. Puneet Mehrotra
Managing Director STM Journals, Consortium eLearning Network Pvt. Ltd.(CELNET)
Noida ,India
Group Managing Editor Dr. Archana Mehrotra
DirectorCELNET, Delhi, India
Puneet Pandeya
ManagerMonika Malhotra
Assistant Manager
Assistant Editors
Aditya Sanyal
Himani Garg
Himani Pandey
Publication Management Team
Internal Members
External Members
Dr. Bimlesh Lochab
Industrial Tribology Machine Dynamics & Maintenance
Engineering Centre (ITMMEC)
Indian Institute of Technology Delhi, India.
Prof. S. Ramaprabhu
Alternative Energy Technology Laboratory,
Department of Physics,
Indian Institute of Technology, Chennai, India.
Dr. Rajiv Prakash
School of Materials Science and Technology,
Institute of Technology, Banaras Hindu University,
Varanasi, India.
Dr. Rakesh Kumar
Assistant Professor, Department of
Applied Chemistry, BIT Mesra,
Patna, India.
Associate Editors
Gargi Asha Jha
Nupur Anand
Priyanka Aswal
Sona Chahal
STM Journal (s) Advisory Board
Dr. Ashish RunthalaLecturer, Biological Sciences Group,
Birla Institute of Technology & Science, Pilani Rajasthan, India.
Dr. Baldev RajDistinguished Scientist & Director,
Indira Gandhi Centre for Atomic Research
(ICGAR)Kalpakkam, India.
Dr. Baskar KaliyamoorthyAssociate Professor, Department
of Civil Engineering National Institute of Technology Trichy, India.
Prof. Bankim Chandra RayProfessor and Head, Department of
Metallurgical and Materials Engineering National Institute of Technology,
Rourkela, India.
Prof.D. N. Rao Professor, Department of Biochemistry,
AIIMS, New Delhi, India.
Prof. Jugal KishoreProfessor, Department of Community
Medicine, Maulana Azad Medical College, New Delhi, India.
Dr. Pankaj PoddarScientist, Physical & Materials ChemistryDivision, National Chemical Laboratory,
Pune, India.
Dr. Hardev Singh VirkProfessor Emeritus, Eternal
University, Baru Sahib, India.
Dr. Nandini Chatterjee SinghAssociate Professor,
National Brain Research Centre, Manesar, India.
Dr. Shankargouda PatilAsst. Prof., Department of Oral
Pathology, KLE Society's Institute of Dental Sciences, Bangalore, India.
Prof. Subash Chandra MishraProfessor, Metallurgical & Materials
Engineering Department, NIT, Rourkela, India.
Prof. Yuwaraj Marotrao GhugalProfessor and Head Department, Govt.College of Engineering Station Road,
Osmanpura, Aurangabad, India.
Prof. Sundara RamaprabhuProfessor, Department of Physics
Indian Institute of Technology Madras, India.
Dr. Shrikant Balkisan DhootHead Research & Development,
Nurture Earth R&D Pvt LtdMIT Campus, Beed bypass road,
Aurangabad, India.
Dr. Rakesh KumarAssistant Professor,
Department of Applied Chemistry, BIT Mesra, Patna, India.
Dr. Priyavrat TharejaHead, Materials and Metallurgical
Engineering department, PEC University of Technology,
Chandigarh, India.
STM Journal (s) Advisory Board
Editorial Board
Dr. Divakar Singh YadavDept. of Computer Science & Engineering,
Institute of Engineering and Technology UP Technical University, Lucknow, India.
Maj. Gen Anil kumar Jain Amity University, India.
Dr. Mark BurginDept. of Mathematics, UCLA, Los Angeles,
CA 90095, USA, United States.
Yaduvir SinghDepartment of Electrical and Instrumentation Engineering,
Thapar University, Patiala Punjab, India.
Dr. Gunamani JenaME CSE, PhD, FIE, MIEEE,
LMISTE, MCSI, India.
Senthil Kumar A.V.Hindusthan College of Arts
and Science, Coimbatore, India.
Dr. Adesh Kumar SharmaNational Dairy Research Institute
(Deemed University), Indian Council of Agriculture, Haryana, India.
Prof. Prasanta K. JanaIndian School of Mines, Dhanbad.
Dr. B.L. ShivakumarAssoc. Prof., Dept. of Computer Applications,
Sri Ramakrishna Engineering College, NGGO Colony Post, Coimbatore, India.
I take the privilege to present the hard copy compilation for the [Volume 5 Issue (1)] Journal of
Computer Technology & Applications (JoCTA). The intension of JoCTA is to create an
atmosphere that stimulates creativeness, research and growth in the area of Computer Technology
& Applications.
The development and growth of the mankind is the consequence of brilliant Research done by
eminent Scientists and Engineers in every field. JoCTA provides an outlet for Research findings and
reviews in areas of Journal of Computer Technology & Applications found to be relevant for
National and International recent developments & research initiative.
The aim and scope of the Journal is to provide an academic medium and an important reference for
the advancement and dissemination of Research results that support high level learning, teaching and
research in the domain of Computer Science and Technology.
Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for
their continued support and invaluable contributions and suggestions in the form of authoring write-
ups/ reviewing and providing constructive comments for the advancement of the journals. With
regards to their due continuous support and co-operation, we have been able to publish quality
Research/Review findings for our customers base.
I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.
Dr. Archana Mehrotra
Director
STM Journals
Director's Desk
STM JOURNALS
1. A Case based Practical Approach for Novel Data Transformation to Enhance Accuracy of Decision Tree Ensembles Sandeep K. Budhani, Govind Singh 1
2. Artificial Neural Network Model for Stock Market Forecasting Neelima Budhani, C. K. Jha, Sandeep K. Budhani 7
3. End-to-End Data Security for Multi-Tenant Cloud EnvironmentTushar Bhardwaj 13
4. Study on Network Load on Various Mobile Ad Hoc Network Protocols Under the Random Walk Mobility and Random Way Point Model Sitaram Gupta, Vijay Kumar 21
5. Supporting Search as you Type using Incremental Computation and Neighborhood Technique M. Karthiga, A. Anny Leema 26
6. Survey of Data Cleaning and Image Recognition using Neural Networks Raju Dara, Ch. Satyanarayana, A. Govardhan 30
ContentsJournal of Computer Technology & Applications
JoCTA(2014) © STM Journals 2014. All Rights Reserved
Journal of Computer Technology & Applications ISSN: 2347-7229
Volume 5, Issue 1
www.stmjournals.com
A Case based Practical Approach for Novel Data
Transformation to Enhance Accuracy of Decision
Tree Ensembles
Sandeep K. Budhani1*, Govind Singh
2
1Department of Computer Science & Engineering,
Graphic Era Hill
University, Bhimtal Campus, India 2M.Tech (CSE), Graphic Era Hill University, Bhimtal, Uttarakhand, India
Abstract If we talk about any real world situation then we can see that all the situations dramatically changes as the time passes. If we say this statement in some technical form,
concepts changes gradually. This situation is called as Concept Drift that is the core of any approach. Until we cannot get the accurate output for a given input parameter, the
concepts will concurrently change. To overcome this situation we use a programmable
approach that is Classifier Ensembles in which we combine several outputs and form a single output from several. Other thing we get about is Decision Tree that is a very
popular ensemble method because Decision Trees are unstable classifiers whose output
undergoes significant changes. Data transformation is a process by which the problem representation is changed and we have to manipulate the problems by using some useful
techniques. This paper firstly focuses on the popular ensembles methods, the overview of decision tree and uses the concept of classifier ensemble with respect to decision trees.
There are mainly two problems associated with data transformation and we have
different approaches to resolve these problems. In this paper we consider a single novel transformation method to resolve these problems.
Keywords: Ensemble, decision trees, data, transformation method
JoCTA (2014) © STM Journals 2014. All Rights Reserved
Journal of Computer Technology & Applications ISSN: 2347-7229
Volume 5, Issue 1
www.stmjournals.com
Artificial Neural Network Model for Stock
Market Forecasting
Neelima Budhani1*, C. K. Jha
2, Sandeep K. Budhani
3
1Amrapali Institute, Haldwani (Nainital), Uttarakhand, India
2Banasthali Vidyapeeth, Banasthali, Rajasthan, India
3Graphic Era Hill University, Bhimtal Campus, Bhimtal (Nainital), Uttarakhand, India
Abstract In recent years, many attempts have been made to predict the behavior of bonds,
currencies, stocks or stock markets. Neural networks, as an intelligent data mining
method, have been used in many different challenging pattern recognition problems such
as stock market prediction. The aim of this paper is to predict stock market using artificial neural networks (ANNs). The authors used feed forward neural network trained
by back-propagation algorithm to make prediction. The result from analysis shows that
ANNs offer the ability to predict the stock prices more accurately than other existing techniques.
Keywords: Artificial neural network, back-propagation, forecasting, stock market
JoCTA(2014) © STM Journals 2014. All Rights Reserved
Journal of Computer Technology & Applications ISSN: 2347-7229
Volume 5, Issue 1
www.stmjournals.com
End-to-End Data Security for Multi-Tenant
Cloud Environment
Tushar Bhardwaj* Master of Technology, Uttar Pradesh Technical University, India
Abstract This paper details the construction of a functional model that ensures data kept encrypted; while being processed in a multi-tenanted cloud environment. This can be
done using homomorphic encryption only though the approach lacks in ability to search
large databases. In a multi-tenant cloud environment, data is stored on several distinct data centers. As the request is encrypted, the server can't come up with exact match, so it
would probably return information of all its matching records. This research work uses a functional gloved-box model that ensures an effective end-to-end cloud data security. The
outcome is that a database in the cloud be able to handle a request and return a response
without decrypting the query and data. To make things happen this way, data is first-most encrypted by using Homomorphic encryption(public-key), than decrypted using Garbled-
circuit(private key), and at last the private key of garbled-circuit is being made safe by
encrypting it again by Attribute-based Encryption.
Keywords: Multi-tenant cloud security, homomorphic, garbled-circuit, attribute-
based encryption.
JoCTA (2014) © STM Journals 2014. All Rights Reserved
Journal of Computer Technology & Applications ISSN: 2347-7229
Volume 5, Issue 1
www.stmjournals.com
Study on Network Load on Various Mobile Ad Hoc
Network Protocols Under the Random Walk Mobility and
Random Way Point Model
Sitaram Gupta*, Vijay Kumar Department of Computer Science and Engineering
Kautilya Institute of Technology and Engineering, Jaipur
Abstract Mobile ad hoc Network consists of mobile networks which create an underlying
architecture for communication without the help of traditional fixed-position routers.
MANET is group of mobile nodes which uses multi hop transmission for communication. Routing in MANET is challenging task, moreover presence of malicious nodes make the
overall network very insecure furthermore dynamic nature of moving nodes adds to the complexity Mobility of the nodes has substantial influence on the network performance.
In this Paper, we study the impact of Random Walk and Random Way Point model. We
focus on performance comparison of Proactive routing protocol by focusing on Optimized Link State Routing (OLSR) and Reactive Routing Protocol by focusing on Ad
Hoc on Demand Distance Vector (AODV) and Temporally Ordered Routing Algorithm
(TORA). The present paper reports a performance analysis of network load on three Mobile Ad Hoc Network (MANET) routing protocols under the two mobility models i.e.
Random Walk Mobility Model and Random Way Point.
Keywords: MANET, AODV, OLSR, TORA, OPNET 14.5, random walk mobility
model, random way point mobility model
JoCTA(2014) © STM Journals 2014. All Rights Reserved
Journal of Computer Technology & Applications ISSN: 2347-7229
Volume 5, Issue 1
www.stmjournals.com
Supporting Search as You Type using Incremental
Computation and Neighborhood Technique
M. Karthiga*, A. Anny Leema Master of Computer Applications, B S Abdur Rahman University, Chennai, India
Abstract The objective of the project is to develop the application Search-as -you-type system, used to show the results based on user query. If user enter any misspelled queries in
search engine, automatically it corrects the misspelled query in search box. In the
proposed system, concentrate on high performance to attain a speed of searching and showing the results very quickly and corrects the incorrect word. The performance of
search is accomplished by the auxiliary indexes in tables. This helps to improve performance and reduce the manual work.
Keywords: search as-you-type , database , SQL , fuzzy search
JoCTA (2014)© STM Journals 2014. All Rights Reserved
Journal of Computer Technology & Applications ISSN: 2347-7229
Volume 5, Issue 1
www.stmjournals.com
Survey of Data Cleaning and Image Recognition
using Neural Networks
Raju Dara*, Ch. Satyanarayana, A. Govardhan Jawaharlal Nehru Technological University, Hyderabad, Andhra Pradesh, India
Abstract This paper reviews the existing developments of data cleaning and image recognition
using neural networks. At present most of the work in image recognition is done by
using more than one method. Neural networks take the advantage and show good improvement in recognition of images. In this work, the authors have discussed their
advantages over traditional methods.
Keywords: Data cleaning, image recognition, data transformation, artificial neural
network