The proceedings of SocProS 2015 will serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of 'Soft Computing'. The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Health Care, Networking Optimization Problems, etc.

Provides rich and authentic literature in the area of computational intelligence to help new Discusses latest findings on wide variety of industrial, engineering and scientific applications of soft computing Presents invited papers from the inventors/originators of computational techniques Includes supplementary material: sn.pub/extras

Autorentext

Dr. Millie Pant is an Associate Professor with the Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India. She has to her credit several research papers in journals of national and international repute and is a well-known figure in the field of Swarm Intelligence and Evolutionary Algorithms. ****

Prof. Kusum Deep is working as a full time professor in the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well cited making her a central International figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization.

Dr. Jagdish Chand Bansal , is an Assistant Professor with the South Asian University, New Delhi, India. Holding an excellent academic record, he is an excellent researcher in the field of Swarm Intelligence at the National and International Level, having several research papers in journals of national and international repute.

Prof. Atulya Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is the Dean of Faculty of Science, at Liverpool Hope University, Liverpool, UK. Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations.

Dr. Kedar Nath Das is now working as Assistant Professor in the Department of Mathematics, National Institute of Technology Silchar, Assam, India. Over the last 10 years, he has a good contribution towards to research in 'soft computing'. He has many papers to his credit in many journal in national and international level of repute. His area of interest is on Evolutionary and Bio-inspired algorithms for optimization.

Klappentext
This two volume book is based on the research papers presented at the 5 th International Conference on Soft Computing for Problem Solving (SocProS 2015) and covers a variety of topics, including mathematical modelling, image processing, optimization methods, swarm intelligence, evolutionary algorithms, fuzzy logic, neural networks, forecasting, medical and health care, data mining, etc. Mainly the emphasis is on Soft Computing and its applications in diverse areas. The prime objective of this book is to familiarize the reader with the latest scientific developments in various fields of Science, Engineering and Technology and is directed to the researchers and scientists engaged in various real-world applications of 'Soft Computing'.

Inhalt
Chapter 1. Traffic Accident Prediction Model Using Support Vector Machines with Gaussian Kernel.- Chapter 2. A Brief Overview on Least Square Spectral Analysis and Power Spectrum.- Chapter 3. ASCCS: Architecture for Secure Communication Using Cloud Services.- Chapter 4. Multi-Objective Optimization Based Design of Robust Fractional Order PID Controller for Coupled Tank Systems.- Chapter 5. Using Least Square Spectral Analysis Method for Time Series with Datum Shifts.- Chapter 6. Application of Differential Evolution for Maximizing the Load Ability Limit of Transmission System During Contingency.- Chapter 7. Common Fixed Point Theorem for Occasionally Weakly Compatible Mappings in Fuzzy Metric Spaces.- Chapter 8. Privacy Preservation in Utility Mining Based on Genetic Algorithm: A New Approach.- Chapter 9. Reliability Evaluation of Software System Using AHP & Fuzzy TOPSIS Approach.- Chapter 10. Information Security and Its Insurance in the World of High Rise of Cybercrime through a Model.- Chapter 11. A Systematic Study on Mitigating Parameter Variation in MOSFETs.- Chapter 12. Vendor Supplier Cooperative Inventory Model with two Warehouse and Variable Demand Rate under the Environment of Volume Agility.- Chapter 13. Invariant Feature Extraction for Finger Vein Matching Using Fuzzy Logic Inference.- Chapter 14. Fuzzy Reasoning Approach (FRA) for Assessment of Workers Safety in Manganese Mines.- Chapter 15. Multiple-input Multiple-output Paper Machine System Control Using Fuzzy-PID Tuned Controller.- Chapter 16. Common Fixed Point Results in GB Metric Space and Generalized Fuzzy Metric Space using E.A. Property and Altering Distance Function.- Chapter 17. Design Optimization of Sewer System Using Particle Swarm Optimization.- Chapter 18. Optimal Tuning of PID Controller for Centrifugal Temperature Control Systemin Sugar Industry Using Genetic Algorithm.- Chapter 19. Fault Diagnosis of ZSI Fed 3-phase Induction Motor Drive System Using MATLAB.- Chapter 20. OpenMP Genetic Algorithm for Continuous Non-linear Large Scale Optimization Problems.- Chapter 21. Combined SCP and Geometric Reconstruction of Spine from Bi-planar Radiographs.- Chapter 22. Analysis of Network IO Performance in Hadoop Cluster Environments Based on Docker Containers.- Chapter 23. Hough Transform Based Feature Extraction for the Classification of Mammogram Using Back Propagation Neural Network.- Chapter 24. Ant Colony System Based E-supermarket Website Link Structure Optimization.- Chapter 25. An Aggregation Based Approach with Pareto Ranking in Multi-objective Genetic Algorithm.- Chapter 26. Weighted CoHOG (W-CoHOG) Feature Extraction for Human Detection.- Chapter 27. Municipal Solid Waste Generation Forecasting for Faridabad City located in Haryana State, India.- Chapter 28. Secondary Network Throughput Analysis Applying SFR in OFDMA-CR Networks.- Chapter 29. Unsupervised Change Detection in Remote Sensing Images Using CDI and GIFP-FCM Clustering.- Chapter 30. Performance Comparison between InP-ON and SON MOSFET at Different Nanotechnology Nodes Using 2-D Numerical Device Simulation.- Chapter 31. Discrete-time Eco-epidemiological Model with Disease in Prey and Holling-Type III Functional Response.- Chapter 32. A Novel Crossover Operator Designed to Exploit Synergies of Two Crossover Operators for Real Coded Genetic Algorithms.- Chapter 33. Classification Techniques for Texture Images Using Neuroph Studio.- Chapter 34. Optimization of Feature Selection in Face Recognition System Using Differential Evolution and Genetic Algorithm.- Chapter 35. Human Opinion Dynamics for Software Cost Estimation.- Chapter 36. A Comparative Study of Various Meta-heuristic Algorithms for Ab Initio Protein Structure Prediction on 2d Hydrophobic-Polar Model.- Chapter 37. Population Segmentation Based Variant of Differential Evolution Algorithm.- Chapter 38. PSO Optimized and Secured Watermarking Scheme Based on RDWT and SVD.- Chapter 39. Spectral Indices Based Change Detection in an Urban Area Using Landsat Data.- Chapter 40. An Approach to Protect Electronic Health Reco…