Journal of computer technology & applications (vol5, issue2) by STM Journals Publication

Journal of Computer Technology & Applications (JoCTA) ISSN: 2347 - 7229

May-August 2014

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Dr. Divakar Singh Yadav Dept. of Computer Science & Engineering, Institute of Engineering and Technology UP Technical University, Lucknow, India.

Dr. Gunamani Jena ME CSE, PhD, FIE, MIEEE, LMISTE, MCSI, India.

Maj. Gen Anil kumar Jain Amity University, India.

Yaduvir Singh Department of Electrical and Instrumentation Engineering, Thapar University, Patiala Punjab, India.

Senthil Kumar A.V. Hindusthan College of Arts and Science, Coimbatore, India.

Dr. Mark Burgin Dept. of Mathematics, UCLA, Los Angeles, CA 90095, USA, United States.

Dr. B.L. Shivakumar Assoc. Prof., Dept. of Computer Applications, Sri Ramakrishna Engineering College, NGGO Colony Post, Coimbatore, India.

Dr. Adesh Kumar Sharma National Dairy Research Institute (Deemed University), Indian Council of Agriculture, Haryana, India.

Dr. Ashis Kumar Mahapatra Scientist & Head, Department of Electronics & Information Technology, National Informatics Centre (NIC), Bhubaneswar, Orissa,India.

Dr. Jainendra K Navlakha Professor, School of Computing and Information Sciences, Florida International University Miami, Florida.

Dr. Munir Ahamed Rabbani Scientist & Head, Department of Electronics & Information Technology, National Informatics Centre (NIC), Bhubaneswar, Orissa, India.

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STM JOURNALS

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 writeups/ 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

Journal of Computer Technology & Applications

Contents

1. Face Recognition using LDA based Support Vector Machine Ujjal Suttra Dhar, Md. Rabiul Islam, Rizoan Toufiq

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

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

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

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

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

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

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 userâ&#x20AC;&#x2122;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

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 1

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

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 1

Department of CSE, Rawal Institute of Engineering and Technology, Faridabad, India 2 School 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