Applied Soft Computing Technologies: The Challenge of Complexity by Ajith AbrahamApplied Soft Computing Technologies: The Challenge of Complexity by Ajith Abraham

Applied Soft Computing Technologies: The Challenge of Complexity

byAjith AbrahamEditorBernard De Baets, Mario Köppen

Paperback | April 13, 2006

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SVMs have emerged as very successful pattern recognition methods in recent years [16]. SVMs have yielded superior performance in various applications such as; text categorization [15], and face detection [12], content-based image retrieval [6], and learning image similarity [4]. The motivation here is detection of suspicious bags in a security situation. The usual method for bomb personnel is to blow up a suspicious bag, and any explosives contained therein. However, if the bag contains chemical, biological or radiological canisters, this may lead to disastrous results. Furthermore, the "bl- up" method also destroys important clues such as fingerprints, type of explosive, detonators and other signatures of importance for forensic analysis. Extraction of the bag contents using telerobotics avoids these problems [8]. In a telerobotic system, it is advantageous to automate bag classification which is coupled to robotic tactics such as shaking out of the bags contents. For cooperative hum- robot interaction, in situations when autonomous capabilities fail, a human may be called in to distinguish the bag type. Here we focus on the autonomous operation of such a telerobotic system. In the autonomous mode, bags are classified by type using SVMs for the purpose of identifying initial manipulator grasp points. One side of the gripper must slide under the bag, and because of slippage, the grasp may fail. Thus, it is of importance to realize the type of bag, and the location of the opening before the grasp point assessment is made.
Title:Applied Soft Computing Technologies: The Challenge of ComplexityFormat:PaperbackDimensions:840 pages, 23.5 × 15.5 × 0.07 inPublished:April 13, 2006Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540316493

ISBN - 13:9783540316497


Table of Contents

Plenary Presentations.- Applying Fuzzy Sets to the SemanticWeb: The Problem of Retranslation.- Granular Computing: An Overview.- Classification and Clustering.- Parallel Neuro Classifier for Weld Defect Classification.- An Innovative Approach to Genetic Programming-based Clustering.- An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier.- A Method to Enhance the 'Possibilistic C-Means with Repulsion' Algorithm based on Cluster Validity Index.- Optimization.- Design Centering and Tolerancing with Utilization of Evolutionary Techniques.- Curve Fitting with NURBS using Simulated Annealing.- Multiobjective Adaptive Representation Evolutionary Algorithm (MAREA) - a new evolutionary algorithm for multiobjective optimization.- Adapting Multi-Objective Meta-Heuristics for Graph Partitioning.- Diagnosis and Fault Tolerance.- Genetic Algorithms for Artificial Neural Net-based Condition Monitoring System Design for Rotating Mechanical Systems.- The Applications of Soft Computing in Embedded Medical Advisory Systems for Pervasive Health Monitoring.- Application of Fuzzy Inference Techniques to FMEA.- Bayesian Networks Approach for a Fault Detection and Isolation Case Study.- Tracking and Surveillance.- Path Planning Optimization for Mobile Robots Based on Bacteria Colony Approach.- An Empirical Investigation of Optimum Tracking with Evolution Strategies.- Implementing a Warning System for Stromboli Volcano.- Scheduling and Layout.- A Genetic Algorithm with a Quasi-local Search for the Job Shop Problem with Recirculation.- A Multiobjective Metaheuristic for Spatial-based Redistricting.- Solving Facility Layout Problems with a Set of Geometric Hard-constraints using Tabu Search.- Complexity Management.- Empathy: A Computational Framework for Emotion Generation.- Intelligent Forecast with Dimension Reduction.- Stochastic Algorithm Computational Complexity Comparison on Test Functions.- Nonlinear Identification Method of a Yo-yo System Using Fuzzy Model and Fast Particle Swarm Optimisation.- Manufacturing and Production.- Hybrid Type-1-2 Fuzzy Systems for Surface Roughness Control.- Comparison of ANN and MARS in Prediction of Property of Steel Strips.- Designing Steps and Simulation Results of a Pulse Classification System for the Electro Chemical Discharge Machining (ECDM) Process - An Artificial Neural Network Approach.- Signal Processing.- Hybrid Image Segmentation based on Fuzzy Clustering Algorithm for Satellite Imagery Searching and Retrieval.- Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks.- A Genetic Algorithm for Solving BSS-ICA.- Computer Security.- RDWT Domain Watermarking based on Independent Component Analysis Extraction.- Towards Very Fast Modular Exponentiations Using Ant Colony.- Taming the Curse of Dimensionality in Kernels and Novelty Detection.- Bioinformatics.- A Genetic Algorithm with Self-sizing Genomes for Data Clustering in Dermatological Semeiotics.- MultiNNProm: A Multi-Classifier System for Finding Genes.- An Overview of Soft Computing Techniques Used in the Drug Discovery Process.- Text Processing.- Ontology-Based Automatic Classification of Web Pages.- Performance Analysis of Na?ve Bayes Classification, Support Vector Machines and Neural Networks for Spam Categorization.- Sentence Extraction Using Asymmetric Word Similarity and Topic Similarity.- Algorithm Design.- Designing Neural Networks Using Gene Expression Programming.- Particle Swarm Optimisation from lbest to gbest.- Multiobjective 0/1 Knapsack Problem using Adaptive ?-Dominance.- Control.- Closed Loop Control for Common Rail Diesel Engines based on Rate of Heat Release.- A MIMO Fuzzy Logic Autotuning PID Controller: Method and Application.- Performance of a Four Phase Switched Reluctance Motor Speed Control Based On an Adaptive Fuzzy System: Experimental Tests,Analysis and Conclusions.- Hybrid Intelligent Systems using Fuzzy Logic,Neural Networks and Genetic Algorithms.- Modular Neural Networks and Fuzzy Sugeno Integral for Face and Fingerprint Recognition.- Evolutionary Modeling Using A Wiener Model.- Evolutionary Computing for Topology Optimization of Fuzzy Systems in Intelligent Control.- Recent Developments in Support Vector and Kernel Machines.- Analyzing Magnification Factors and Principal Spread Directions in Manifold Learning.- Bag Classification Using Support Vector Machines.- The Error Bar Estimation for the Soft Classification with Gaussian Process Models.- Research of Mapped Least Squares SVM Optimal Configuration.- Classifying Unlabeled Data with SVMs.- Robotics.- Car Auxiliary Control System Using Type-II Fuzzy Logic and Neural Networks.- Evolving Neural Controllers for Collective Robotic Inspection.- A Self-Contained Traversability Sensor for Safe Mobile Robot Guidance in Unknown Terrain.- Fuzzy Dispatching of Automated Guided Vehicles.- Soft Computing and Hybrid Intelligent Systems in Product Design and Development.- Application of Evolutionary Algorithms to the Design of Barrier Screws for Single Screw Extruders.- Soft Computing in Engineering Design: A Fuzzy Neural Network for Virtual Product Design.- Internet Server Controller Based Intelligent Maintenance System for Products.- A Novel Genetic Fuzzy/Knowledge Petri Net Model and Its Applications.- Individual Product Customization Based On Multi-agent Technology.- An Intelligent Design Method of Product Scheme Innovation.- Communication Method for Chaotic Encryption in Remote Monitoring Systems for Product e-Manufacturing and e-Maintenance.