This volume contains the papers presented at the Second International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA-2013) held during 14-16 November 2013 organized by Bhubaneswar Engineering College (BEC), Bhubaneswar, Odisha, India. It contains 63 papers focusing on application of intelligent techniques which includes evolutionary computation techniques like genetic algorithm, particle swarm optimization techniques, teaching-learning based optimization etc for various engineering applications such as data mining, Fuzzy systems, Machine Intelligence and ANN, Web technologies and Multimedia applications and Intelligent computing and Networking etc.
Fast Ssim Index For Color Images Employing Reduced-Reference Evaluation.- A Novel Weighted Diffusion Filtering Approach For Speckle Suppression In Ultrasound Images Detection Of Progression Of Lesions In Mri Using Change Detection.- Optimal Covering Problem For A Manet Through Geometric Theory.- Data Mining Hierarchical Divisive Clustering With Multi View-Point Based Similarity Measure Discovery Of Knowledge From Query Groups.- D-Pattern Evolving And Inner Pattern Evolving For High Performance Text Mining.- A Fast Auto Exposure Algorithm For Industrial Applications Based On False-Position Method.- SESSION : Web Technologies And Multi Media Applications.- A Bio-Chaotic Block Cryptosystem For Privacy Protection Of Multimedia Data Some Popular Usability Evaluation Techniques For Websites.- A Secure Lightweight And Scalable Mobile Payment Framework.- Service Oriented Architecture Based Sdi Model For Education Sector In India.
This volume contains the papers presented at the Second International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA-2013) held during 14-16 November 2013 organized by Bhubaneswar Engineering College (BEC), Bhubaneswar, Odisha, India. It contains 63 papers focusing on application of intelligent techniques which includes evolutionary computation techniques like genetic algorithm, particle swarm optimization techniques, teaching-learning based optimization etc for various engineering applications such as data mining, Fuzzy systems, Machine Intelligence and ANN, Web technologies and Multimedia applications and Intelligent computing and Networking etc.