Computational Intelligence and Informatics: Principles and Practice (Studies in Computational Intelligence, 313)

✍ Scribed by Imre J. Rudas (editor), János Fodor (editor)

• Publisher: Springer
• Year: 2010
• Tongue: English
• Leaves: 347
• Category: Library

✦ Synopsis

The International Symposium of Hungarian Researchers on Computational Intel- th gence and Informatics celebrated its 10 edition in 2009. This volume contains a careful selection of papers that are based on and are extensions of corresponding l- tures presented at the jubilee conference. This annual Symposium was launched by Budapest Tech (previously Budapest Polytechnic) and by the Hungarian Fuzzy Association in 2000, with the aim to bring together Hungarian speaking researchers working on computational intelligence and related topics from all over the world, but with special emphasis on the Central Eu- pean Region. th The Symposium of the 10 jubilee anniversary contained 70 reviewed papers. The growing interests, the enthusiasm of the participants have proved that the Symposium has become an internationally recognized scientific event providing a good platform for the annual meeting of Hungarian researchers. The main subject area called Computational Intelligence includes diverse topics. Therefore, we offer snapshots rather than a full coverage of a small particular subject to the interested reader. This principle is also supported by the common national root of the authors. The book begins with Information Systems and Communication. This part contains papers on graphs of grammars, software and hardware solution for Mojette transf- mation, statistical intrusion detection, congestion forecast, and 3D-based internet communication and control.

✦ Table of Contents

Title Page
Preface
Contents
Graphs of Grammars – Derivations as Parallel Processes
Introduction
Definitions
Results about Regular Grammars
Results about Grammars with Context-Free Rules
Linear Languages
Graphs of the Grammars and Programmed Grammars
Regular Languages and Programmed Grammars
Graphs of Grammars in Context-Sensitive Case
Graphs of Grammars for Phrase-Structure Grammars
Graph Representations of L-Systems
Derivations with Graphs of Grammars
Concluding Remarks
References
MTTool Software Tool and Low Complexity Hardware for Mojette Transformation
Introduction
Mojette and Inverse Mojette Transform
Mojette Transform in C#
Experiments and Results with MTTool
Mojette Co-processor: MOTIMOT
Low Complexity System Design for Stepping Window Method
Low Complexity System Design for Sliding Window Method
Conclusions
References
Network Statistics in Function of Statistical Intrusion Detection
Introduction
Characteristics of Network Traffic
Statistics of Maxima and Average Values
Time Factor in Intrusion Detection
Conclusions
References
Congestion Forecast – A Societal Opportunity
Introduction
Technological Backgrounds
Traffic Congestion
Congestion Forecast Systems
Stakeholders
Economic Context
The Product
Market Forecast and Price Sensitivity – The Supply Side
Price Structure of the Product – The Demand Side
Legal and Institutional Aspects
Concluding Remarks
References
3D-Based Internet Communication and Control
Introduction
The Basic Definitions for the Cognitive Info-Communication and for the 3D Internet
Cognitive Info-Communication
3D Internet
Telemanipulation and Monitoring Based on the 3D Internet
Intelligent Space, as the Forerunner of the 3D Internet-Based Cognitive Info-Communications
The Research Related to the Intelligent Space
Internet-Based Robot Control with the Help of 3D Virtual Space
The Physically Distant Objects Cooperation in a 3D Virtual Reality
Robot Communication and Programming Based on 3D Internet
Conclusions
References
Global, Camera-Based Localization and Prediction of Future Positions in Mobile Robot Navigation
Introduction
Localization
Localization System Architecture
Preprocessing of Camera Images
The Localization of Special Objects
Obstacle Position Prediction
Artificial Neural Network-Based Prediction
Results and Conclusion
References
New Principles and Adequate Robust Control Methods for Artificial Pancreas
Introduction
New Modeling Concepts for Type I Diabetes
Minimal-Model Extension
LPV Modeling of the Sorensen-Model
Analyzing a Novel Model of the Human Blood Glucose System
Robust Control Methods for Optimal Insulin Dosage in Case of Type I Diabetic Patients
Symbolic-Numerical Implementation of the Minimax Method on the Minimal Bergman-Model
Extending the Hinf Method under Mathematica
LPV-Based Robust Control of the Sorensen-Model
Actual and Future Research Tasks
References
Modern Control Solutions with Applications in Mechatronic Systems
Introduction
Position Control Solutions
PI(D) Control Solutions
Takagi-Sugeno Fuzzy Controller Solutions
Model Predictive Control Solutions
Adaptive Control Solutions
Applications and Plant Models
Mathematical Model of Electromagnetic Actuator
Mathematical Model of Magnetic Levitation System
Control Structures
Control Structures Dedicated to Electromagnetic Actuator
Control Structures Dedicated to Magnetic Levitation System
Simulation and Experimental Results
Conclusions
References
Adaptive Tackling of the Swinging Problem for a 2 DOF Crane – Payload System
Introduction
Mathematical Description of the Control Task
Simulation Results
Concluding Remarks
References
Robots as In-Betweeners
Introduction
The First Robot
The First Humanoid in Cinemas
Robot as a Result of Science and Technology
Robot and Cyborg as Metaphors, and the Post-Human
The In-Betweeners
Conclusions
References
Comparative Investigation of Various Evolutionary and Memetic Algorithms
Introduction
Overview of the Algorithms and Techniques Used
Numerical Optimization
Supervised Machine Learning
Benchmark Functions and Machine Learning Problems
Benchmark Functions
Machine Learning Problems
Results and Observed Behavior
Results for Ackley’s Benchmark Function
Results in Case of Applying Mamdani-Inference-Based Learning together with Fix Length Optimization Techniques for the ICT Problem
Results in Case of Applying Stabilized KH-Interpolation-Based Learning together with Variable Length Optimization Techniques for the Six Dimensional Problem
Observed Behavior
Conclusions
References
A Novel Approach to Solve Multiple Traveling Salesmen Problem by Genetic Algorithm
Introduction
Literature Review
Application of Genetic Algorithms to Solve mTSP
The Proposed GA-Based Approach to Solve the mTSP
The Novel Genetic Representation for mTSP
Special Genetic Operators
Genetic Algorithm
Complexity Analysis
Implementation Issues
Illustrative Example
Conclusions
References
Some Examples of Computing the Possibilistic Correlation Coefficient from Joint Possibility Distributions
Introduction
Some Illustrations of Possibilistic Correlation
Joint Distribution: (1-x-y)
Joint Distribution: (1-x²-y²)
Joint Distribution: ($1- x − y$ )
Joint Distribution: (1-x²-y)
A Transition from Zero to -1/2
A Transition from -1/2 to -3/5
Trapezoidal Marginal Distributions
Time Series with Fuzzy Data
References
A Novel Bitmap-Based Algorithm for Frequent Itemsets Mining
Introduction
The Proposed Algorithm
Mining Frequent Itemsets Based on Bitmap-Like Representation
Application Example
Conclusions
References
Neural Networks Adaptation with NEAT-Like Approach
Introduction
NEAT
Genetic Encoding
Historical Markings of Genes
Protecting Innovations through Speciation
Implementation of NEAT Approach
Representing Individuals
Genetic Operators
Experiments
Experiment Example No 1
Experiment Example No 2
Experiments Results
Conclusions
References
Incremental Rule Base Creation with Fuzzy Rule Interpolation-Based Q-Learning
Introduction
Q-Learning and Fuzzy Q-Learning
FRIQ-Learning
The FRI Method ‘FIVE’
FRIQ-Learning-Based on ‘FIVE’
Incremental Fuzzy Rule-Base Construction
Application Example
Conclusions
References
Protective Fuzzy Control of Hexapod Walking Robot Driver in Case of Walking and Dropping
Introduction
Simulation Model of Hexapod Walker
The Aims of Choosing a Controller Algorithm
Choosing the Fuzzy Rules
Presentation of Tuning Process Results of General Robot Parameters
Tuning the Fuzzy Parameters for Drop Test
Conclusions
References
Survey on Five Fuzzy Inference-Based Student Evaluation Methods
Introduction
Criteria for Comparison of Fuzzy Evaluation Methods
Fuzzy Inference-Based Student Evaluation Methods
Evaluation Based on Fuzzy Classification
Bai-and-Chen’s Method
Saleh-and-Kim’s Method
Student Evaluation Based on Fuzzy Rule Interpolation
Rasmani-and-Shen’s Method
Conclusions
References
Fuzzy Hand Posture Models in Man-Machine Communication
Introduction
The Intelligent Space
Fuzzy Hand Posture Classification
The 3D Hand Model
Fuzzy Hand Posture Recognition
The Experimental System
Image Processing Component
FHPM-Based Hand Recognition
Conclusions
References
Computational Qualitative Economics Computational Intelligence-Assisted Building, Writing and Running Virtual Economic Theories
Introduction
The Object, Subject, Scope and Method of CQE
CI-Assisted Theory Building in Economics
Rebuilding Common Economic Theories by CI Assistance
Economic Theories: iDmc and Excel-Assisted Building the Cases of Modified Monopoly Model
STELLA-Assisted Building and Telling Story of Cournot Duopoly
Concluding Remarks
References
A Spectral Projected Gradient Optimization for Binary Tomography
Introduction
Reconstruction Problem
SPG Optimization Algorithm
Proposed Method
Evaluation
Concluding Remarks
References
Product Definition Using a New Knowledge Representation Method
Introduction
Influences on Engineering Object Definition
Direct and Indirect Control by Knowledge
Background of Human Decision in Product Model
Origin and Place of Information Content
Human-Modeling Procedure Communication
Extension to Classical Product Model
Conclusions
References
Incremental Encoder in Electrical Drives: Modeling and Simulation
Introduction
Modeling of the Incremental Encoder and Associated Units
Encoder Modeling
Identification of the Rotation Direction
Encoder-Based Position Computation
Modeling of the Drive System
Simulation Results
Simulation of the Encoder
Simulation of the Induction Motor Drive Control
Experimental Measurements
Conclusions
References
Real-Time Modeling of an Electro-hydraulic Servo System
Introduction
Hardware-in-the-Loop Test
Plant and Control Unit
Mathematical Model of the Electro-hydraulic Servo System
Test Environment and Model Parameters
Test Results
Conclusion
Summary
References
Mathematical Model of a Small Turbojet Engine MPM-20
Small Turbojet Engine – MPM 20 as an Object of Modeling
Modeling the MPM 20 Turbojet Engine
Mathematical Modeling of Radial Compressor of MPM 20 Turbojet Engine
Mathematical Model in Steady and Transitory Operation of the MPM 20 Engine
Methods of Artificial Intelligence by Analytic Modeling the MPM 20 Turbojet Engine
Conclusions
References
Performance Prediction of Web-Based Software Systems
Introduction
Background and Related Work
Thread Pools and Queued Requests
Queueing Models for Multi-tier Software Systems
Modeling the Queue Limit
Novel Models and Algorithms
Performance Prediction and Validation
Error Analysis
Conclusions
References
Optimization in Fuzzy Flip-Flop Neural Networks
Introduction
Fuzzy J-K and D Flip-Flops
Fuzzy Flip-Flop Neuron
Multilayer Perceptrons Constructed of Fuzzy Flip-Flop Neurons (Fuzzy Neural Network, FNN)
Parameter Optimization in the Fuzzy Neural Network
Numerical Simulation and Results
Case Study 1: Optimization of Q with LM Algorithm
Case Study 2: Optimization of Q with BMAM Algorithm
Comparison of Different FNNs with Respect to the Training Algorithm
Conclusion
References
Author Index