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.
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.
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.
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.
Chapter 1. Optimization of Non Local Means Filtering
Technique for Denoising Magnetic Resonance Images: A
Review.- Chapter 2. A Production Model with Stock
Dependent Demand, Partial Backlogging, Weibull Distribution
Deterioration and Customer Returns.- Chapter
3. Chemo-inspired Genetic Algorithm and Application to
Model Order Reduction Problem.- Chapter
4. Grammatical Evolution Using Fireworks
Algorithm.-Chapter 5. Gaussian Function Based Particle
Swarm Optimization.- Chapter 6. Reinforcing
Particle System Effects Using Object Oriented Approach and Real
Time Fluid Dynamics for Next Generation 3D Gaming.- Chapter
7.Searchless Fractal Image Compression Using Fast DCT and Real
DCT.-Chapter 8. Study of Neighborhood Search Based
Fractal Image Encoding.-Chapter 9. An Optimized Color
Image Watermarking Technique Using Differential Evolution and
SVD-DWT Domain.- Chapter 10. One Day Ahead
Forecast of Pan Evaporation at Pali Using Genetic
Programming.- Chapter 11. Optimized Scenario of
Temperature Forecasting Using SOA and Soft Computing
Techniques.- Chapter 12. Software Reliability
Prediction Using Machine Learning Techniques.- Chapter
13. A Genetic Algorithm Based Scheduling Algorithm for
Grid Computing Environments.- Chapter 14.Effect of
Imperfect Debugging on Prediction of Remaining Faults in
Software.- Chapter 15. Multiple Document
Summarization Using Text Based Keyword Extraction.- Chapter
16. Implementation of the Principle of Jamming for Hulk
Gripper Remotely Controlled by Raspberry Pi.- Chapter
17. Differential Evolution: An Overview.- Chapter
18. Multi-objective Parametric Query Optimization for
Distributed Database Systems.- Chapter 19. Energy
Efficient Routing Protocol forMANET Using Vague Set.-Chapter
20. Data Storage Security in Cloud
Paradigm.- Chapter 21.Axisymmetric Vibrations of
Variable Thickness Functionally Graded Clamped Circular
Plate.- Chapter 22. Performance Evaluation of
Geometric Based Hybrid Approach for Facial Feature
Localization.- Chapter 23.Optimal Land Allocation in
Agricultural Production Planning Using Fuzzy Goal
Programming.- Chapter 24. Quantitative Estimation
for Impact of Genomic Features Responsible for 5’ and 3’ UTR
Formation in Human Genome.- Chapter 25. Comparison
of Multilayer Perceptron (MLP) and Support Vector Machine (SVM) in
Predicting Green Pellet Characteristics of Manganese
Concentrate.- Chapter 26. Audio Pattern
Recognition and Mood Detection System.- Chapter
27. SUMDOC: A Unified Approach for Automatic Text
Summarization.- Chapter 28. Improvising and
Optimizing Resource Utilization in Big Data
Processing.- Chapter 29. Region Based Prediction
and Quality Measurements for Medical Image Compression.-Chapter
30. Recent Advancements of Energy Efficient Routing in
Wireless Sensor Networks: A Survey.- Chapter 31. A
Novel Approach for Market Prediction Using Differential Evolution &
Genetic Algorithm.- Chapter 32. A Novel Approach
for Actuation of Robotic Arm using EEG and Video
Processing.- Chapter 33. A Survey: Artificial
Neural Network for Character Recognition.- Chapter
34. Crosstalk Noise Voltage Analysis in Global
Interconnects.- Chapter 35. A Comparative Analysis
of Copper and Carbon NanoTubes Based Global Interconnects in 32nm
Technology.- Chapter 36. Comparative Analysis of
Si-MOSFET and CNFET Based 28T Full Adder.-Chapter
37. Cuckoo Search Based Scale Value Optimization for
Enhancement in Retinal Image Registration.- Chapter
38. Optimal Demand Side Bidding Using Evolutionary
Algorithm in Deregulated Environment.- Chapter
39.Optimized Point Robot Path Planning in Cluttered Environment
Using GA.-Chapter 40. ITMS (Intelligent Traffic
Management System).- Chapter 41.Intelligent Parking
Management System Using RFID.- Chapter 42.Performance
Analysis of DE over K-Means Proposed Model of Soft
Computing.- Chapter 43. Fuzzy Controller for
Flying Capacitor Multicell Inverter.- Chapter
44. Dispersion Effects on MHD Casson Fluid Flow Over a
Vertical Cone Saturated with Non-Darcy Porous
Medium.- Chapter 45.JUPred_SVM: Prediction of
Phosphorylation Sites Using a Consensus of SVM
Classifiers.- Chapter 46. Fuzzy Logic Based Gait
Phase Detection Using Passive Markers.- Chapter
47. Extraction of Blood Vessels and Optic Disc
Segmentation for Retinal Disease Classification.- Chapter
48. Improved Local Search in Shuffled Frog Leaping
Algorithm.- Chapter 49. Shuffled Frog Leaping
Algorithm with Adaptive Exploration.- Chapter
50.Intuitionistic Trapezoidal Fuzzy Prioritized Weighted
Geometric Operator: An Algorithm for the Selection of Suitable
Treatment for Lung Cancer.- Chapter 51. Fuzzy
Controller for Reversing Voltage Topology MLI.- Chapter
52. Image Quality Assessment Based Approach to Estimate
the Age of Pencil Sketch.- Chapter
53. Self-Similarity Descriptor and Local Descriptors Based
Composite Sketch Matching.- Chapter
54. Multi-objective Colliding Bodies
Optimization.- Chapter 55. Printed Hindi
Characters Recognition Using Neural Network.- Chapter
56. Rendering Rigid Shadows Using Hybrid
Algorithm.- Chapter 57. Analysis of Role Based
Access Control in Software Defined Networking.- Chapter
58.Analysis and Comparison of Regularization Techniques for
Image Deblurring.- Chapter 59. An Approach to
Solve Multi-objective Linear Fractional Programming
Problem.- Chapter 60. A Fuzzy-AHP Approach for
Calculating the Weights of Disassembly Line Balancing
Criteria.- Chapter 61. An Efficient Compression of
Encrypted Images Using WDR Coding.-Chapter 62. SVD
Based Fragile Reversible Data Hiding Using DWT.- Chapter
63. Static Economic Dispatch Incorporating UPFC using
Artificial Bee Colony Algorithm.- Chapter 64. Edge
preservation Based CT Image Denoising Using Wavelet and Curvelet
Transforms.- Chapter 65.Critical Analysis of Clustering
Algorithms for Wireless Sensor Networks.- Chapter
66. Nelder-Mead and Non Uniform Based Self Organizing
Migrating Algorithm.- Chapter
67. Surrogate-assisted Differential Evolution with an
AdaptiveEvolution Control Based on Feasibility to Solve Constrained
Optimization Problems.- Chapter 68.PSO-TVAC Based
Economic Load Dispatch with Valve Point Loading.- Chapter
69. A Heuristic Based on AHP and TOPSIS for Disassembly
Line Balancing.-Chapter 70. Use of Intuitionistic Fuzzy
Time Series in Forecasting Enrollments to an Academic
Institution.- Chapter 71. An Improved
Privacy-Preserving Public Auditing for Secure Cloud
Storage.- Chapter 72. A Simulation Study with
Mobility Models Based on Routing Protocol.-Chapter
73. Genetic Based Weighted Aggregation Model for
Optimization of Student’s Performance in Higher
Education.- Chapter 74. Improved Convergence
Behavior by Using Best Solutions to Enhance Harmony Search
Algorithm.- Chapter 75. MVM: MySQL Vs
MongoDB.- Chapter 76. A Novel Single Band
Microstrip Antenna with Hexagonal Fractal for SurveillanceRadar
Application.- Chapter 77. Optimization of
Hyper-Spectral Images and Performance Evaluation Using Effective
Loss Algorithm.- Chapter 78.Comparative Study of
Bakhshālī Square Root Method with Newton’s Iterative
Method.- Chapter 79. Dynamic Resource Allocation
for Multi-tier Applications in Cloud.- Chapter
80. Comparison of Image Restoration and Segmentation of
the Image Using Neural Network.- Chapter 81.Performance
Evaluation of PCA and ICA Algorithm For Facial Expression
Recognition Application.- Chapter 82. Modified PSO
Algorithm for Controller Optimization of a PFC ĆUK Converter Fed
PMBLDCM Drive.-Chapter 83. Speed Controller
Optimization for PMSM Drive Using PSO Algorithm.- Chapter
84. Parallelization of Simulated Annealing Algorithm for
FPGA Placement and Routing.- Chapter 85. Review of
Image Acquisition and Classification Methods on Early Detection of
Skin Cancer.- Chapter 86. Enhancement of Mobile
Ad-hoc Network Security Using Improved RSA
Algorithm.- Chapter 87. Empirical Study of Grey
Wolf Optimizer and Development of a New Modified Version of Grey
Wolf Optimizer.- Chapter 88. Evaluation of
Huffman-code and B-code Algorithms for Image Compression
Standards.
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.
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