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The proceedings of SocProS 2015 will serve as an academic bonanza forscientists and researchers working in the field of Soft Computing. This bookcontains theoretical as well as practical aspects using fuzzy logic, neuralnetworks, evolutionary algorithms, swarm intelligence algorithms, etc., withmany applications under the umbrella of 'Soft Computing'. The book will bebeneficial for young as well as experienced researchers dealing across complexand intricate real world problems for which finding a solution by traditionalmethods is a difficult task.
The different application areas covered in the proceedings are: ImageProcessing, Cryptanalysis, Industrial Optimization, Supply Chain Management,Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems relatedto Medical and Health Care, Networking Optimization Problems, etc.
List of contents
Chapter 1. Optimizationof Non Local Means Filtering Technique for Denoising Magnetic Resonance Images:A Review.- Chapter 2. A Production Model with StockDependent Demand, Partial Backlogging, Weibull Distribution Deterioration andCustomer Returns.- Chapter 3. Chemo-inspired Genetic Algorithm andApplication to Model Order Reduction Problem.- Chapter4. GrammaticalEvolution Using Fireworks Algorithm.-Chapter 5. GaussianFunction Based Particle Swarm Optimization.- Chapter 6. Reinforcing Particle System EffectsUsing Object Oriented Approach and Real Time Fluid Dynamics for Next Generation3D Gaming.- Chapter 7.SearchlessFractal Image Compression Using Fast DCT and Real DCT.-Chapter 8. Study of Neighborhood Search BasedFractal Image Encoding.-Chapter 9. AnOptimized Color Image Watermarking Technique Using Differential Evolution andSVD-DWT Domain.- Chapter 10. One Day Ahead Forecast of PanEvaporation at Pali Using Genetic Programming.- Chapter11. OptimizedScenario of Temperature Forecasting Using SOA and Soft Computing Techniques.- Chapter12. SoftwareReliability Prediction Using Machine Learning Techniques.- Chapter13. AGenetic Algorithm Based Scheduling Algorithm for Grid Computing Environments.- Chapter14.Effect of Imperfect Debugging on Prediction ofRemaining Faults in Software.- Chapter 15. Multiple Document Summarization UsingText Based Keyword Extraction.- Chapter 16. Implementation of the Principle ofJamming for Hulk Gripper Remotely Controlled by Raspberry Pi.- Chapter17. DifferentialEvolution: An Overview.- Chapter 18. Multi-objective Parametric QueryOptimization for Distributed Database Systems.- Chapter19. EnergyEfficient Routing Protocol forMANET Using Vague Set.-Chapter 20. Data Storage Security in CloudParadigm.- Chapter 21.AxisymmetricVibrations of Variable Thickness Functionally Graded Clamped Circular Plate.- Chapter22. PerformanceEvaluation of Geometric Based Hybrid Approach for Facial Feature Localization.- Chapter23.Optimal Land Allocation in Agricultural ProductionPlanning Using Fuzzy Goal Programming.- Chapter 24. Quantitative Estimation for Impact ofGenomic Features Responsible for 5' and 3' UTR Formation in Human Genome.- Chapter25. Comparisonof Multilayer Perceptron (MLP) and Support Vector Machine (SVM) in PredictingGreen Pellet Characteristics of Manganese Concentrate.- Chapter26. AudioPattern Recognition and Mood Detection System.- Chapter27. SUMDOC:A Unified Approach for Automatic Text Summarization.- Chapter28. Improvisingand Optimizing Resource Utilization in Big Data Processing.- Chapter29. RegionBased Prediction and Quality Measurements for Medical Image Compression.-Chapter 30. Recent Advancements of EnergyEfficient Routing in Wireless Sensor Networks: A Survey.- Chapter31. ANovel Approach for Market Prediction Using Differential Evolution & GeneticAlgorithm.- Chapter 32. A Novel Approach for Actuation ofRobotic Arm using EEG and Video Processing.- Chapter 33. A Survey: Artificial Neural Networkfor Character Recognition.- Chapter 34. Crosstalk Noise Voltage Analysis inGlobal Interconnects.- Chapter 35. A Comparative Analysis of Copper andCarbon NanoTubes Based Global Interconnects in 32nm Technology.- Chapter36. ComparativeAnalysis of Si-MOSFET and CNFET Based 28T Full Adder.-Chapter 37. Cuckoo Search Based Scale ValueOptimization for Enhancement in Retinal Image Registrati
About the author
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.
Summary
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.
