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Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence: 5th International Conference on Intelligent Computing, ICIC 2009 Ulsan, South Korea, September 16-19, 2009 Proceedings: Lecture Notes in Computer Science, cartea 5755

Editat de De-Shuang Huang, Kang-Hyun Jo, Hong-Hee Lee, Hee-Jun Kang, Vitoantonio Bevilacqua
en Limba Engleză Paperback – 28 aug 2009
The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
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Specificații

ISBN-13: 9783642040191
ISBN-10: 3642040195
Pagini: 1143
Ilustrații: XXIII, 1120 p.
Dimensiuni: 155 x 235 x 41 mm
Greutate: 1.27 kg
Ediția:2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Descriere

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Cuprins

Neural Networks.- An Ensemble of Neural Networks for Stock Trading Decision Making.- A SOM Based Stereo Pair Matching Algorithm for 3-D Particle Tracking Velocimetry.- Spiking Neural Network Performs Discrete Cosine Transform for Visual Images.- Spam Detection Based on a Hierarchical Self-Organizing Map.- The Analysis of the Energy Function of Chaotic Neural Network with White Noise.- The Classification of a Simulation Data of a Servo System via Evolutionary Artificial Neural Networks.- Evolutionary Learning and Genetic Algorithms.- A New Source and Receiver Localization Method with Erroneous Receiver Positions.- Interactive Genetic Algorithms with Variational Population Size.- A Unified Direct Approach to Image Registration and Object Recognition with a Hybrid Evolutionary Algorithm.- Two Step Template Matching Method with Correlation Coefficient and Genetic Algorithm.- Granular Computing and Rough Sets.- A Framework on Rough Set-Based Partitioning Attribute Selection.- On Multi-soft Sets Construction in Information Systems.- Fuzzy Theory and Models.- Knowledge Representation and Consistency Checking in a Norm-Parameterized Fuzzy Description Logic.- Using Intelligent System for Reservoir Properties Estimation.- Fuzzy Support Vector Classification Based on Fuzzy Optimization.- Fuzzy Systems and Soft Computing.- An FIS for Early Detection of Defect Prone Modules.- Variable Precision Concepts and Its Applications for Query Expansion.- The Application of Intuitionistic Fuzzy Theory in Radar Target Identification.- On the Robustness of Type-1 and Type-2 Fuzzy Tests vs. ANOVA Tests on Means.- Combining Global Model and Local Adaptive Neuro-Fuzzy Network.- On Some Properties of Generalized Symbolic Modifiers and Their Role in Symbolic Approximate Reasoning.- Swarm Intelligence and Optimization.- A New Differential Evolution Algorithm with Random Mutation.- An Improved Harmony Search Algorithm for the Location of Critical Slip Surfaces in Slope Stability Analysis.- An Improved PSO Algorithm Encoding a priori Information for Nonlinear Approximation.- Multi-objective Oriented Search Algorithm for Multi-objective Reactive Power Optimization.- Combined Discrete Particle Swarm Optimization and Simulated Annealing for Grid Computing Scheduling Problem.- Supervised and Semi-supervised Learning.- Profile Based Algorithm to Topic Spotting in Reuter21578.- Training Neural Networks for Protein Secondary Structure Prediction: The Effects of Imbalanced Data Set.- Rough Set Theory in Pavement Maintenance Decision.- Using Control Theory for Analysis of Reinforcement Learning and Optimal Policy Properties in Grid-World Problems.- Kernel Methods and Supporting Vector Machines.- Adaptive Chaotic Cultural Algorithm for Hyperparameters Selection of Support Vector Regression.- Application of a Case Base Reasoning Based Support Vector Machine for Financial Time Series Data Forecasting.- Cost-Sensitive Supported Vector Learning to Rank Imbalanced Data Set.- A Biologically Plausible Winner-Takes-All Architecture.- Combinatorial and Numerical Optimization.- Minimum Sum-of-Squares Clustering by DC Programming and DCA.- An Effective Hybrid Algorithm Based on Simplex Search and Differential Evolution for Global Optimization.- Differential Evolution with Level Comparison for Constrained Optimization.- Tactical Aircraft Pop-Up Attack Planning Using Collaborative Optimization.- Stereo Vision Based Motion Parameter Estimation.- Binary Sequences with Good Aperiodic Autocorrelations Using Cross-Entropy Method.- Systems Biology and Computational Biology.- Agent Based Modeling of Atherosclerosis: A Concrete Help in Personalized Treatments.- MotifMiner: A Table Driven Greedy Algorithm for DNA Motif Mining.- Neural Computing and Optimization.- A New Method of Morphological Associative Memories.- A New Method of Color Map Segmentation Based on the Self-organizing Neural Network.- Knowledge Discovery and Data Mining.- A Quantum Particle Swarm Optimization Used for Spatial Clustering with Obstacles Constraints.- Fuzzy Failure Analysis of Automotive Warranty Claims Using Age and Mileage Rate.- A Fuzzy-GA Wrapper-Based Constructive Induction Model.- Warning List Identification Based on Reliability Knowledge in Warranty Claims Information System.- Cluster Analysis and Fuzzy Query in Ship Maintenance and Design.- A Semantic Lexicon-Based Approach for Sense Disambiguation and Its WWW Application.- The Establishment of Verb Logic and Its Application in Universal Emergency Response Information System Design.- Artificial Life and Artificial Immune Systems.- An AIS-Based E-mail Classification Method.- A New Intrusion Detection Method Based on Antibody Concentration.- Ensemble Methods.- Research of the Method of Local Topography Rapid Reconstructed.- A Novel User Created Message Application Service Design for Bidirectional TPEG.- An Empirical Study of the Convergence of RegionBoost.- Towards a Better Understanding of Random Forests through the Study of Strength and Correlation.- Machine Learning Theory and Methods.- Learning Hereditary and Reductive Prolog Programs from Entailment.- A Novel Local Sensitive Frontier Analysis for Feature Extraction.- Locality Preserving Discriminant Projections.- Retracted: Using Bayesian Network and AIS to Perform Feature Subset Selection.- Construction of the Ensemble of Logical Models in Cluster Analysis.- Ordinal Regression with Sparse Bayesian.- GLRT Based Fault Detection in Sensor Drift Monitoring System.- A Support System for Making Archive of Bi-directional Remote Lecture – Photometric Calibration –.- Conflict-Free Incremental Learning.- Biological and Quantum Computing.- Supervised Isomap for Plant Leaf Image Classification.- Integration of Genomic and Proteomic Data to Predict Synthetic Genetic Interactions Using Semi-supervised Learning.- A Method of Plant Leaf Recognition Based on Locally Linear Embedding and Moving Center Hypersphere Classifier.- Intelligent Computing in Pattern Recognition.- Survey of Gait Recognition.- Fingerprint Enhancement and Reconstruction.- A Level Set Based Segmentation Method for Images with Intensity Inhomogeneity.- Analysis of Enterprise Workflow Solutions.- On Dynamic Spectrum Sharing Systems.- Cooperative Spectrum Sensing Using Enhanced Dempster-Shafer Theory of Evidence in Cognitive Radio.- A Secure Distributed Spectrum Sensing Scheme in Cognitive Radio.- An Optimal Data Fusion Rule in Cluster-Based Cooperative Spectrum Sensing.- Exact Bit Error Probability of Multi-hop Decode-and-Forward Relaying with Selection Combining.- A Cooperative Transmission Scheme for Cluster Based Wireless Sensor Networks.- A Packet Scheduling Algorithm for IEEE 802.22 WRAN Systems and Calculation Reduction Method Thereof.- On New Particle Swarm Optimization and Its Applications.- Study on Multi-Depots Vehicle Scheduling Problem and Its Two-Phase Particle Swarm Optimization.- Image Segmentation to HSI Model Based on Improved Particle Swarm Optimization.- Emotional Particle Swarm Optimization.- Symbiotic Multi-swarm PSO for Portfolio Optimization.- A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function.- Particle Swarm Optimizer Based on Dynamic Neighborhood Topology.- An Improved Two-Stage Camera Calibration Method Based on Particle Swarm Optimization.- On Intelligent Signal Processing for Interactive Brain-Machine-Interfacing.- EMD Based Power Spectral Pattern Analysis for Quasi-Brain-Death EEG.- Proposal of Ride Comfort Evaluation Method Using the EEG.- On Advances in Intelligent Information Processing.- Image Reconstruction Using NMF with Sparse Constraints Based on Kurtosis Measurement Criterion.- A Cyanobacteria Remote Monitoring System.- Study on Fault Diagnosis of Rolling Mill Main Transmission System Based on EMD-AR Model and Correlation Dimension.- Analysis of Mixed Inflammable Gases Based on Single Sensor and RBF Neural Network.- Image Segmentation of Level Set Based on Maximization of Between-Class Variance and Distance Constraint Function.- Active MMW Focal Plane Imaging System.- Application of RBF Network Based on Immune Algorithm in Human Speaker Recognition.- Adaptive Immune Response Network Model.- Researches on Robust Fault-Tolerant Control for Actuator Failures in Time-Varying Delay System.- Design of a Single-Phase Grid-Connected Photovoltaic Systems Based on Fuzzy-PID Controller.- Ontology-Based Decision Support for Security Management in Heterogeneous Networks.- A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks.- Weighted Small World Complex Networks: Smart Sliding Mode Control.- On Computational Intelligence in Bioinformatics and Systems Biology.- A Novel Method to Robust Tumor Classification Based on MACE Filter.- Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification.- A Method for Multiple Sequence Alignment Based on Particle Swarm Optimization.- Inference of Differential Equation Models by Multi Expression Programming for Gene Regulatory Networks.- Function Sequence Genetic Programming.- On Network-Based Intelligent Technologies.- Speech Emotion Recognition Research Based on Wavelet Neural Network for Robot Pet.- Device Integration Approach to OPC UA-Based Process Automation Systems with FDT/DTM and EDDL.- A SOA-Based Framework for Building Monitoring and Control Software Systems.- Data Fusion Algorithm Based on Event-Driven and Minimum Delay Aggregation Path in Wireless Sensor Network.- Handling Multi-channel Hidden Terminals Using a Single Interface in Cognitive Radio Networks.- Network Construction Using IEC 61400-25 Protocol in Wind Power Plants.- Stability and Stabilization of Nonuniform Sampling Systems Using a Matrix Bound of a Matrix Exponential.- Implementation of Induction Motor Control System Using Matrix Converter Based on CAN Network and Dual-Port RAM.- On 2D versus 3D Intelligent Biometric and Face Recognition Techniques.- Fuzzy Data Fusion for Updating Information in Modeling Drivers’ Choice Behavior.- Multi-view Ear Recognition Based on Moving Least Square Pose Interpolation.- Experimental Comparison among 3D Innovative Face Recognition Frameworks.- Retinal Vessel Extraction by a Combined Neural Network–Wavelet Enhancement Method.- Erratum to: Using Bayesian Network and AIS to Perform Feature Subset Selection.

Textul de pe ultima copertă

This book - in conjunction with the volume LNCS 5754 - constitutes the refereed proceedings of the 5th International Conference on Intelligent Computing, ICIC 2009, held in Ulsan, South Korea in September 2009.
The 214 revised full papers of these two volumes were carefully reviewed and selected from a total of 1082 submissions. The papers of this volume are organized in topical sections on Neural Networks, Evolutionary Learning & Genetic Algorithms, Granular Computing & Rough Sets, Fuzzy Theory and Models, Fuzzy Systems and Soft Computing, Swarm Intelligence and Optimization, Supervised & Semi-supervised Learning, Kernel Methods and Supporting Vector Machines, Combinatorial & Numerical Optimization, Systems Biology and Computational Biology, Neural Computing and Optimization, Knowledge Discovery and Data Mining, Artificial Life and Artificial Immune Systems, Ensemble Methods, Machine Learning Theory and Methods, Biological and Quantum Computing, Intelligent Computing in Pattern Recognition, Dynamic Spectrum Sharing Systems, New Particle Swarm Optimization and Its Applications, Intelligent Signal Processing for Interactive Brain-Machine-Interfacing, Advances in Intelligent Information Processing, Computational Intelligence in Bioinformatics and Systems Biology, Network-based Intelligent Technologies, and 2D vs 3D Intelligent Biometric and Face Recognition Techniques.