Journal of Computer

Technology & Applications

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ISSN: 2347 - 7229

May-August 2014

(JoCTA)

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Industrial Tribology Machine Dynamics & Maintenance

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Indian Institute of Technology Delhi, India.

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Alternative Energy Technology Laboratory,

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Varanasi, U. P., India.

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University of Delhi.

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.

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LMISTE, MCSI, India.

Senthil Kumar A.V.Hindusthan College of Arts

and Science, Coimbatore, India.

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and Information Sciences, Florida International University

Miami, Florida.

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& Engineering, Amrita School of Engineering,Kasavanahalli,

Bangalore, India.

Dr. Munir Ahamed RabbaniScientist & Head, Department of

Electronics & Information Technology, National Informatics Centre (NIC),

Bhubaneswar, Orissa, India.

I take the privilege to present the hard copy compilation for the [Volume 5 Issue (2)] 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 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. Face Recognition using LDA based Support Vector Machine Ujjal Suttra Dhar, Md. Rabiul Islam, Rizoan Toufiq 1

2. Embedding and Extraction of Watermark in Digital Audio Rahul Palaria, Sandeep K. Budhani 8

3. Efficient Information Retrieval based on Name and Aliases from the Web using Anchor Text MiningLikhitha S. R., Veerappa B. N., Rafi M. 13

4. E-Voting System: (A Tool for General Elections) Amarjeet Singh, Dr. Ramakanth Kumar P. 19

5. Retrieval of Data from Hidden Web using Web Agent Das N. N., Kumar E. 26

ContentsJournal of Computer Technology & Applications

JoCTA (2014)© STM Journals 2014. All Rights Reserved

Journal of Computer Technology & Applications ISSN: 2229-6964 (online), ISSN: 2347-7229 (print)

Volume 5, Issue 2

www.stmjournals.com

Face Recognition using LDA based Support

Vector Machine

Ujjal Suttra Dhar, Md. Rabiul Islam*, Rizoan Toufiq Department of CSE, RUET, Rajshahi,6204 Bangladesh

Abstract Recognition of a person is an easy task for human brains. From different experiments, we

have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face

although a computer has been trained with a huge set of human face. Now-a-days face

recognition has received significant attention of researchers. Lots of improvements have been obtained in successful face recognition. Support Vector Machine is a method to

classify things, which is implemented successfully on face recognition. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are basic method,

widely used in feature extraction of faces. This paper presents an approach to face

recognition system using Support Vector Machine with LDA based facial features. Two large facial databases have been used to measure the performance of the system. Linear

Discriminant Analysis is applied to find aspects of faces, which are important for identification and verification. It is considered that large eigen values are adequate in

face recognition system. LDA is used for dimension reduction, which is done by selecting

eigenfaces of nth

largest eigenvalues. Finally, these eigenfaces are projected onto face space and used for training in classification using SVM classifier.

Keywords: Face recognition, support vector machine, linear discriminant analysis,

facial feature vector

JoCTA (2014)© STM Journals 2014. All Rights Reserved

Journal of Computer Technology & Applications ISSN: 2229-6964 (online), ISSN: 2347-7229 (print)

Volume 5, Issue 2

www.stmjournals.com

Embedding and Extraction of Watermark in

Digital Audio

Rahul Palaria, Sandeep K. Budhani* Graphic Era Hill University, Dehradun Campus, Uttarakhand, India

Abstract Digital Watermarking, a discipline of steganography, is used to hide within an image or

audio file some data specifically relating to that file. An enormous amount of work has

been carried out in the field of Image Watermarking. Due to the increasing incidents of audio piracy and illegal retrieval of audio files over the internet, the field of audio

watermarking has widespread attention from industry and researchers. In this paper, a

watermarking system is proposed. The proposed system that makes use of spread spectrum technique. The system consists of two algorithms, one for embedding watermark

in the audio file and the other for the extraction of embedded watermark from the audio file. MATLAB R2010a has been used as the implementation platform. The performance

evaluation of the proposed watermarking algorithms is assessed by using peak signal to

noise ratio (PSNR) and the correlation measures.

Keywords: Steganography, digital watermarking, spread spectrum

JoCTA (2014)© STM Journals 2014. All Rights Reserved

Journal of Computer Technology & Applications ISSN: 2229-6964 (online), ISSN: 2347-7229 (print)

Volume 5, Issue 2

www.stmjournals.com

Efficient Information Retrieval based on Name and

Aliases from the Web using Anchor Text Mining

Likhitha S. R.*, Veerappa B. N., Rafi M. Computer Science and Engineering Department, U.B.D.T College of Engineering,

Davangere, Karnataka, India

Abstract Information Retrieval (IR) plays an important role in search engines. The major task is to search and retrieve complete information from the web in an effective and efficient way

and hence it is found to be an enabling technology to realize the full potential of it. IR has

a vital role in our day to day activities and it is considered to have a most prominent role in the search engines. The major challenge is to retrieve the relevant natural language

text document. Typically, search engines are low precision in response to a query,

retrieving lots of useless web pages, and missing some other important ones. In the proposed system we make use of Natural Language Processing (NLP) for the word

extraction process from the anchor links. The web search engine expands the search query by tagging aliases of the given search query to obtain the complete information and

hence improving the task of search engine. NLP includes phrase extraction and named

entity recognition. It provides advanced text analytics tools for extraction of words from the sentence. Thus, in our project as a part of word extraction module we are using it to

extract the associated words from it. Association of words is determined by statistical

clustering. Classification is the act of placing cases into categories based on attributes or into clusters based on best fit. In this we do parsing and chunking to extract the Noun

Phrases. These noun phrases are used as key phrases to rank the documents. Organizing

search results into clusters facilitates user’s quick browsing through search results. Our

method will order the aliases based on their associations with the name using the

definition of anchor texts between name and represents in graph to improve readability.

Keywords: Anchor text mining, google anchor links, word extraction, natural

language processing (NLP), graphical representation

JoCTA (2014)© STM Journals 2014. All Rights Reserved

Journal of Computer Technology & Applications ISSN: 2229-6964 (online), ISSN: 2347-7229 (print)

Volume 5, Issue 2

www.stmjournals.com

E-Voting System: (A Tool for General Elections)

Amarjeet Singh*1, Dr. Ramakanth Kumar P.

2

1HOD Department of CS/IT, VIT Jagatpura Jaipur-303012, India

2R.V. College of Engineering, Mysore Road, Bangalore-560059, Karnataka, India

Abstract The usage of ICT is increasing by leaps and bound all over the world .The fast and deep

impact of the internet is seen in each and every aera of the mankind in this world . The

most of the governments all over the world are keen to use electronic medium for all types of services for their citizens which is called e-Governance. India is also a front runner to

rollout various e-Governance services under the umbrella of the National e-Governance Plan (NeGP). With the extended use of internet and ICT technologies many governments

are extending their services to more and more people faster. Many e-Government models

are built with the latest ICT for good use and quicker services to the citizens. India being the largest democracy of the world has significant work load during elections.The

conventional methods of election have many problems due to which many citizens are not

able to cast their vote. Keeping these problems in mind e-voting system which can be used a tool for any type of voting is suggested in this paper.

Keywords: NeGP, ICT, e-voting system, e-governance, e-citizens, UID, ITES

JoCTA (2014)© STM Journals 2014. All Rights Reserved

Journal of Computer Technology & Applications ISSN: 2229-6964 (online), ISSN: 2347-7229 (print)

Volume 5, Issue 2

www.stmjournals.com

Retrieval of Data from Hidden Web using Web Agent

Das N. N.1*, Kumar E.

2

1Department of CSE, Rawal Institute of Engineering and Technology, Faridabad, India

2School of ICT, GBU, Greater Noida, India

Abstract There is an increase in the number of data sources that can be queried across the World Wide Web (WWW). Such sources typically support HTML forms-based interfaces and

search engines query collections of suitably indexed data. The data are displayed via a

browser. As the Web is growing in recent years, huge amount of data are available under

dynamic forms of publication, which are accessed by an HTML Form, known as legacy

databases (known as hidden Web). To handle such types of situation fast generation of

agents is required that can automatically fetch pages for further processing. In this paper, a method is explained for automatically generating agents to collect hidden Web

pages (deep web pages). In this method a preexisting data repository is used for identifying the contents of these web pages. Number of experiments has been carried out

with sites from different domains to show the accuracy of method.

Keywords: Wrapper, hidden web, web agent, WWW, repository