Proceedings of the 5th International Conference on Frontiers in Intelligent Computing : Theory and Applications: Ficta 2016

Chapter 1. Human Action Recognition Using Trajectory Based Spatio-Temporal Descriptors.- Chapter 2. Mathematical Modeling of Specific Fuel Consumption Using Response Surface Methodology for CI Engine Fueled with Tyre Pyrolysis Oil and Diesel Blend.- Chapter 3. Ensemble Learning for Identifying Muscular Dystrophy Diseases Using Codon Bias Pattern.- Chapter 4. Basic Arithmetic Coding Based Approach to Compress a Character String.- Chapter 5. Comparative Analysis of different Feature Ranking Techniques in Data Mining based Android Malware Detection.- Chapter 6. Feature Optimality Based Semi-Supervised Face Recognition Approach.- Chapter 7. Fuzzy Based Algorithm for Resource Allocation.- Chapter 8. Agreement-Based Interference-Aware Dynamic Channel Allocation in Cognitive Radio Network (CRN).- Chapter 9. Energy Efficient Resource Allocation for Heterogeneous Workload in Cloud Computing.- Chapter 10. Accent Recognition System Using Deep Belief Networks for Telugu Speech Signals.- Chapter 11. Text Document Classification with PCA and One-Class SVM.- Chapter 12. Data Mining Approach to Predict and Analyze the Cardiovascular Disease.- Chapter 13. A Hybrid Genetic Algorithm for Cell Formation Problems Using Operational Time.- Chapter 14. Efficient and Parallel Framework for Analyzing the Sentiment.- Chapter 15. Content Aware Video Retargeting by Seam Carving.- Chapter 16. Intelligence System Security Based on 3D Image.- Chapter 17. PDA-CS: Profile Distance Assessment Centric Cuckoo Search for Anomaly Based Intrusion Detection in High Speed Networks.- Chapter 18. Evaluation of Barriers of Health Care Waste Management in India - A Grey Relational Analysis Approach.- Chapter 19. Privacy Preserving Association Rule Mining Using Binary TLBO for Data Sharing in Retail Business Collaboration.- Chapter 20. Performance analysis of Compressed Sensing in Cognitive Radio Networks.- Chapter 21. Robust Multiple Composite Watermarking Using LSB Technique.- Chapter 22. FOREX Rate Prediction: A Hybrid Approach Using Chaos Theory and Multivariate Adaptive Regression Splines.- Chapter 23. Gray Scale Image Compression Using PSO with Guided Filter and DWT.- Chapter 24. Graph Partitioning Methods.- Chapter 25. Smart and Accountable Water Distribution for Rural Development.- Chapter 26. Adaptive Huffman Coding Based Approach to Reduce the Size of Power System Monitoring Parameters.- Chapter 27. Color Image Visual Cryptography Scheme with Enhanced Security.- Chapter 28. A Comparative Analysis of PWM Methods of Z-Source Inverters Used for Photovoltaic System.- Chapter 29. Fault Mitigation in Five-Level Inverter Fed Induction Motor Drive Using Redundant Cell.- Chapter 30. A Web-of-Things Based System to Remotely Configure Automated Systems Using a Conditional Programming Approach.- Chapter 31. On the Security of Chaos Based Watermarking Scheme for Secure Communication.- Chapter 32. Neighborhood Topology to Discover Influential Nodes in a Complex Network.- Chapter 33. Venn Diagram Based Feature Ranking Technique for Key Term Extraction.- Chapter 34. Bangla Handwritten City Name Recognition Using Gradient Based Feature.- Chapter 35. Shortest Path Algorithms for Social Network Strengths.- Chapter 36. Improvised Symbol Table Structure.- Chapter 37. Digital Watermarking Using Enhanced LSB Technique.- Chapter 38. Fuzzy-based Adaptive IMC-PI Controller for Real-time Application on a Level Control Loop.- Chapter 39. Face Recognition Using PCA and Minimum Distance Classifier.- Chapter 40. A Soft Computing Approach for Modeling of Non Linear Dynamical Systems.- Chapter 41. Optimization of Workload Scheduling in Computational Grid.- Chapter 42. Cloud Security and Jurisdiction: Nee

Dr. Suresh Chandra Satapathy is currently working as Professor and Head, Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences (ANITS), Visakhapatnam, Andhra Pradesh, India. He obtained his PhD in Computer Science Engineering from JNTUH, Hyderabad and Master degree in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, Odisha. He has more than 27 years of teaching and research experience. His research interest includes machine learning, data mining, swarm intelligence studies and their applications to engineering. He has more than 98 publications to his credit in various reputed international journals and conference proceedings. He has edited many volumes from Springer AISC, LNEE, SIST and LNCS in past and he is also the editorial board member in few international journals. He is a senior member of IEEE and life member of Computer Society of India. Currently, he is the National Chairman ofDivision-V (Education and Research) of Computer Society of India.

Prof. Vikrant Bhateja is Associate Professor, Department of Electronics & Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow and also the Head (Academics & Quality Control) in the same college. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has published 100 quality publications in various international journals and conference proceedings. Prof. Vikrant has been on TPC and chaired various sessions from the above domain in international conferences of IEEE and Springer. He has been the track chair and served in the core-technical/editorial teams for international conferences: FICTA 2014, CSI 2014, INDIA 2015, ICICT 2015 and ICTIS 2015 under Springer-ASIC Series and INDIACom 2015, ICACCI 2015 under IEEE. He is associate editor in International Journal of Synthetic Emotions (IJSE) and International Journal of Ambient Computing and Intelligence (IJACI) under IGI Global. He is also serving in the editorial board of International Journal of Image Mining (IJIM) and International Journal of Convergence Computing (IJConvC) under Inderscience Publishers. He has been editor of three published volumes with Springer and another two are in press.

Dr. Siba K. Udgata is a Professor of School of Computer and Information Sciences, University of Hyderabad, India. He is presently heading Centre for Modelling, Simulation and Design (CMSD), a high performance computing facility at University of Hyderabad. He has got his Masters followed by PhD in Computer Science (mobile computing and wireless communication). His main research interests are wireless communication, mobile computing, wireless sensor networks and intelligent algorithms. He was a United Nations Fellow and worked in the United Nations University/International Institute for Software Technology (UNU/IIST), Macau as research fellow in the year 2001. Dr. Udgata is working as a principal investigator in many Government of India funded research projects mainly for development of wireless sensor network applications and application of swarm intelligence techniques. He has published extensively in refereed international journals and conferences in India as well as abroad. He has edited many volumes in Springer LNCS/LNAI and Springer AISC Proceedings.

Dr. Prasant Kumar Pattnaik, PhD (Computer Science), Fellow IETE, Senior Member IEEE is a Professor at the School of Computer Engineering, KIIT University, Bhubaneswar. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed International Journals and conferences. His areas of specialization are mobile computing, cloud computing, brain computer interface and privacy preservation.p>