: Bingyuan Cao, Tai-Fu Li, Cheng-Yi Zhang
: Fuzzy Information and Engineering Volume 2
: Springer-Verlag
: 9783642036644
: Advances in Intelligent and Soft Computing
: 1
: CHF 273.90
:
: Allgemeines, Lexika
: English
: 1754
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

This book is the proceedings of the Third International Conference on Fuzzy Information and Engineering (ICFIE 2009) held in the famous mountain city Chongqing in Southwestern China, from September 26-29, 2009. Only high-quality papers are included. The ICFIE 2009, built on the success of previous conferences, the ICFIE 2007 (Guangzhou, China), is a major symposium for scientists, engineers and practitioners in the world to present their updated results, ideas, developments and applications in all areas of fuzzy information and engineering. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists in fuzzy fields as follows: Fuzzy Information; Fuzzy Sets and Systems; Soft Computing; Fuzzy Engineering; Fuzzy Operation Research and Management; Artificial Intelligence; Fuzzy Mathematics and Systems in Applications, etc.

Title Page2
Preface6
Organization8
Contents11
Fuzzy Information27
Multi-step Offline Handwritten Chinese Characters Segmentation with GA27
Introduction27
Rough Segmentation Based on GA28
HIT-MW Dataset28
Project Profile Histogram Method28
Coding29
Fitness Function29
GA Parameters Selection30
GA Parameters Selection30
Over-Segmentation Characters Mergence30
Punctuation and Digital Number Estimation30
Centroids Normalization31
Merging Result31
Re-segment of Insufficient Segmentation Characters32
Viterbi Algorithm32
Hidden Markov Model of Character Block32
Re-segmentation by Viterbi Algorithm34
Paths Optimization34
Modified New Optimal Rules35
Experiments and Analysis36
References36
A New Covert Image Communication Approach with HVS and GFCM38
Introduction38
Chaotic System and Sequences Modulation39
GFCM of Several Parameters of Image Blocks40
Selection of DCT Coefficients and Maximal Strength41
Digital Information Embedding and Extracting42
Simulation Results and Analysis43
Conclusions45
References45
Sliding Model Fuzzy Control for a Bridge Crane47
Introduction47
Mathematical Model of Bridge Crane48
Experiment Analysis50
Simulation and Experiments51
Conclusions53
References53
Apply Multi-class Fuzzy Support Vector Machines to Product-Form-Image Prediction55
Introduction55
Kansei Image Prediction Modeling56
Kansei Information System56
Kansei Image Prediction56
Multi-Class Fuzzy SVMs57
Support Vector Machines57
Multi-class SVMs59
Fuzzy SVMs59
Kansei Image Formalization Based on MF-SVM61
Case Study62
Kansei Image Information62
Classification by MF-SVMs63
Training and Predict for New Products63
Conclusions and Discussion63
References64
The Study on Motor Fuzzy Neural Network Controller Based on Fuzzy Soft Handoff65
Introduction65
Paralleled FNN Controller with Switching Control66
Fuzzy Sub-controller66
Neural Network PID Sub-controller67
Fuzzy Soft Handoff Control Technology68
Hard Handoff68
Soft Handoff68
Fuzzy Soft Handoff [7]70
Simulation of DC Motor System72
Conclusion73
References73
Study on Armament System of System Based on Fuzzy Cognitive Map75
Introduction75
Characteristics of SoS75
The Challenge76
Fuzzy Cognitive Map77
Research on Armament SoS Based on FCM78
System Modeling79
Simulation Analysis81
Conclusion82
References82
Research on Multiple Objective Decision Model of the Security of On-Line Shopping Based on Fuzzy Information Theory84
Introduction84
Multilevel Multiple Objective Desision Theory85
Build Up the Multiple Objective Decision Set85
Build Up the Multilevel Multiple Objective Comment Set85
Build Up the Weight Set85
Build Up the Multiple Objective Evaluation Membership Matrix86
Second-Level Multiple Objective Evaluation87
Evaluation of the Security of on-line Shopping87
Instance87
Build Up Evaluation Set of the Multiple Objective Decision87
Gather Information about the Fuzzy Multiple Objective Decision88
Calculation of Fuzzy Index’s Weight88
Fuzzy Multiple Objective Decision88
Conclusion90
References91
Recognition of Blood Cell Images Based on Color Fuzzy Clustering92
Introduction92
Methods and Materials93
Blood Cell Images93
Fuzzy Clustering Algorithm93
Color Clustering Analyzing of Blood Cell Image94
Recognition by Shape96
Implementation by Java Program97
Results and Discussion97
Conclusions98
References98
Study on Automatic Detection of Airplane Object in Remote Sensing Images99
Introduction99
The Research Actuality and Development Current of the Automatic Detection of the Airplane Goal100
The Research Actuality of the Airplane Goal Recognition100
The Existing Problems and Development Trends in the Automatic Recognition of the Airplane Goals100
Basic Theory and Application of the Mathematical Morphology101
Summary of Mathematical Morphology101
Binary Morphological102
The Basic Concepts and Operations of the Gray Mathematical Morphology102
Aircraft Target Detection Based on Mathematical Morphology103
MATLAB Summarization103
The Realization of MATLAB Based on Mathematical Morphology— Aircraft Automatic Detection as an Example104
Conclusion105
References106
Study on the Affection of Gear Fault Diagnosis Bases on HHT by Noises108
Introduction108
Theory and Method109
EMD109
Hilbert Transforms (HT)111
Hilbert Marginal Spectrum111
EEMD111
De-Noising Based on Wavelet Packet Decomposition Coefficient Shrinkage112
Fault Diagnosis Based on HHT and Neural Network113
Case Study113
Fault Diagnosis Based on the Pattern Matching of HHT Marginal Spectrum114
Fault Diagnosis Based on HHT-Neural Network116
Conclusions116
References117