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E-grāmata: Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 2

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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. 

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 Records.
Chapter
41. Analysis and
Design of Secure Web Services.
Chapter
42.
A Fuzzy Clustering Method for Performance
Evaluation for Distributed Real Time Systems.
Chapter
43. Image Segmentation
Using Genetic Algorithm and OTSU.-
Chapter
44. On
Accepting Hexagonal Array Splicing System with Respect to Directions.-
Chapter
45.
Tracking Movements of Human Being in a Real-Time
Surveillance Scene.
Chapter
46. An Inventory
Model of Decaying Items with Stock Dependent and Seasonal Pattern Demand and
Allowable
Shortages.
Chapter
47. Using
Differential Evolution to Develop a Carbon Integrated Model for Performance
Evaluation and Selection of Sustainable Suppliers in Indian Automobile Supply
Chain.-
Chapter
48. A New
Approach for Rice Quality Analysis and Classification Using Thresholding
Based
Classifier.
Chapter
49. Differential
Power Attack on Trivium Implemented on FPGA.
Chapter
50. Investigations of
Power and EM Attacks on AES
Implemented in FPGA.
Chapter
51. Application
for Identifying and Monitoring Defaulters in Telecom Network.
Chapter
52.
An Efficient Approach for Mining Sequential Pattern.-
Chapter
53. A Better
Approach for Multilevel Association Rule Mining.
Chapter
54. Prediction of
Market Power Using SVM as Regressor
under Deregulated Electricity Market.
Chapter
55. Design of Boost Converter
for PV Applications.
Chapter
56.
A Review of Soft Classification Approaches on Satellite
Image and Accuracy Assessment.
Chapter
57. A New Collaborative
Approach to Particle Swarm Optimization for Global Optimization.
Chapter
58.
Reliability Optimization for the Complex Bridge
System: Fuzzy Multi-criteria Genetic Algorithm.
Chapter
59. Laser Power
Distribution for Detection Performance
in Laser Ranging System.
Chapter
60. Numerical
solution of a Class of Singular Boundary Value Problems Arising in
Physiology
Based on Neural Networks.
Chapter
61. Prototype
Evidence for Estimation of Release Time for Open Source Software Using
Shannon
Entropy Measure.
Chapter
62. A Broad
Literature Survey of Development and Application of Artificial Neural
networks
in Rainfall-Runoff Modelling.
Chapter
63. Development
of iMACOQR Metrics Framework for Quantification of Software Security.-
Chapter
64.
Miniaturized Meandered and Stacked MSA Using Accelerated
Design Strategy for Biomedical Applications.
Chapter
65. Artificial Bee
Colony Trained Functional Link Artificial
Neural Network Model for Software Cost Estimation.
Chapter
66. Improvised
Cyber Crime Investigation Model.
Chapter
67.
Performance of Wideband Falcate Implantable Patch
Antenna for Biomedical Telemetry.
Chapter
68. Mining
Frequent Itemset Using Quine-McCluskey Algorithm.
Chapter
69. Robotics and
Image Processing for Plucking of Fruits.-
Chapter
70. A Review
on Role of Fuzzy Logic in Psychology.
Chapter
71. Modified Single Array
Selection Operation for DE
Algorithm.
Chapter
72. Optimal
Extraction of Bioactive Compounds from Ashwgandha Using Laplacian
Biogeography
Based Optimization.
Chapter
73. Implementation
of Fmincon Statistical Tool in Optimizing the SHG Efficiency of Polymeric
Films.
Chapter
74. Curve
Fitting Using Gravitational Search Algorithm and Its Hybridized Variants.-
Chapter
75.
Investigation of Suitable Perturbation Rate scheme
for Spider Monkey Optimization Algorithm.
Chapter
76. A Portfolio Analysis
of Ten National Banks through
Differential Evolution.
Chapter
77. Applications
of Harmony Search Algorithm in Data Mining: A Survey.
Chapter
78.
Enriched Biogeography Based Optimization Algorithm
to Solve Economic Power Dispatch Problem.
Chapter
79. Modified Artificial
Bee Colony Algorithm Based on
Disruption Operator.
Chapter
80. DG
Integration with Power Quality Improvement Feature for Smart Grid.
Chapter
81.
Asynchronous Differential Evolution with Convex
Mutation.
Chapter
82. Equilibrium
Cable Configuration Estimation for Aerostat Using Approximation Method.-
Chapter
83.
Differential Evolution Approach to Determine the
Promotion Duration for Durable Technology Product under the Effect of Mass
and
Segment Driven Strategies.
Chapter
84. A Fuzzy Optimization
Approach for Designing a Sustainable RL Network in a Strategic Alliance
between
OEM and 3PRL.
Chapter
85. Fuzzy
Bi-Criteria Optimization Model for Fault-tolerant Distributed Embedded
Systems
under Reuse-or-Build-or-Buy Strategy Incorporating Recovery Block Scheme.-
Chapter
86.
Hybrid Multicriteria Decision Making Approach for
Supplier Evaluation in Fuzzy Environment.
Chapter
87. Mathematical Modeling
of Multistage Evaporator System
in Kraft Recovery Process.
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.