The book is based on the research papers presented in Second International Conference on Recent Advances in Information Technology (RAIT 2014), held at Indian School of Mines, Dhanbad, India. It provides the latest developments in the area of information technology and covers a variety of topics, including Advanced Algorithm Design and Analysis, Algorithmic Graph Theory, Artificial Intelligence, Bioinformatics, Circuit Design Automation, Computational Biology, Computational Mathematics, Cryptology, Data Compression, Database Management System, Data Mining, E-Applications, Embedded System, Information and Network Security, Information Retrieval, Internet Computing, etc. The objective is to familiarize the reader with the latest scientific developments that are taking place in various fields and the latest sophisticated problem solving tools that are being developed to deal with the complex and intricate problems that are otherwise difficult to solve by the usual and traditional methods.

Covers wide range of topics in Computer Science and Engineering Includes original research works by researchers and academicians from premier institutes across the globe Serves as a reference material for young researchers and professionals Includes supplementary material: sn.pub/extras

Autorentext

Dr. G.P. Biswas, Professor, Dept of Computer Science and Engineering, Indian School of Mines, Dhanbad, India. He completed his PhD degree in Computer Science and Engineering from Indian Institute Technology, Kharagpur, with thrust research area on Testable Design of VLSI circuits. Dr. Biswas did his B.Sc. Engg. and M.Sc. Engg. in Electrical & Electronic and Computer Sc. & Engg., respectively. He has more than 25 years of teaching and research experience and published 90 research articles in Journals, Conferences and Seminar Proceedings. Apart from teaching, he has guided several B.Tech (CSE) and M.Tech (CA/CSE) projects, and executed external funded R&D projects. His main research interests include cryptography, computer networks with security, VLSI designs, and additive cellular automata.

Dr. Sushanta Mukhopadhyay, Associate Professor, had joined the Department of Computer Science and Engineering, Indian School of Mines, Dhanbad in 2007 as an Assistant Professor.He did B.Sc. with Honours in Physics from Presidency College, Calcutta, B.Tech and subsequently, M.Tech in Radiophysics and Electronics from the University of Calcutta, India. He did Ph.D. from the Indian Statistical Institute, Calcutta. During 2001-2003 and 2004-2007, he worked at the Sanford Burnham Medical Research Institute, La Jolla, CA, USA and the Nanyang Technological University Singapore, respectively. His research areas and interests include mage and video processing, fMRI, image/video compression, encryption and watermarking. He has published a few articles in International Journals and guided M.Tech and PhD students.

Inhalt

Dynamic Clustering Based Hybrid Routing Protocol for Mobile Ad Hoc Networks.- Design of Hybrid MAC Protocol for Wireless Sensor Network.- Enabling Smartphone as Gateway to Wireless Sensor Network.- Design of ECC-based ElGamal Encryption Scheme using CL-PKC.- A Fast Digital-Geometric Approach for Granulometric Image Analysis.- Word-level Handwritten Script Identification from Multi-script Documents.- Selection of Graph-based features for Character Recognition using Similarity based Feature Dependency and Rough Set Theory.- A Partial Image Cryptosystem based on Discrete Cosine Transform and Arnold Transform.- Swap Edges of Shortest Path Tree in Parallel.- A New Approach for Parallel Discrete Fourier Transform in Multi Mesh Network.- Dynamic Check Point Data Replication Strategy in Computational Grid.- Estimation of Population Mean in Presence of Non Response in Two-Occasion Successive Sampling.- Modeling the Complex Dynamics of Epidemic Spread under Allee Effect.- Rainfall Predictionusing k-NN based Similarity Measure.- Dimension Reduction of Gene Expression Data for Designing Optimized Rule Base Classifier.- Comparative Study of Radial Basis Function Neural Network with Estimation of Eigenvalue in Image using MATLAB.