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Intelligent Systems: From Theory to Practice (Studies in Computational Intelligence, 299)

✍ Scribed by Vassil Sgurev (editor), Mincho Hadjiski (editor)


Publisher
Springer
Year
2010
Tongue
English
Leaves
574
Category
Library

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✦ Synopsis


In the modern science and technology there are some research directions and ch- lenges which are at the forefront of world wide research activities because of their relevance. This relevance may be related to different aspects. First, from a point of view of researchers it can be implied by just an analytic or algorithmic difficulty in the solution of problems within an area. From a broader perspective, this re- vance can be related to how important problems and challenges in a particular area are to society, corporate or national competitiveness, etc. Needless to say that the latter, more global challenges are probably more decisive a driving force for s- ence seen from a global perspective. One of such β€œmeta-challenges” in the present world is that of intelligent s- tems. For a long time it has been obvious that the complexity of our world and the speed of changes we face in virtually all processes that have impact on our life imply a need to automate many tasks and processes that have been so far limited to human beings because they require some sort of intelligence.

✦ Table of Contents


Title
Foreword
Contents
Tagging and Fuzzy Sets
Introduction
Tag Clouds as User-Driven Resource Descriptors
Concepts and Example
Web Resources, Tags, and Users
Tag-Clouds and Their Importance
Tagging Systems
Tagging Definitions and Structure
General Overview
Tags and Resources
Tagging-Based Fuzzy Sets
Resource as Fuzzy Set over Tags
Tag as Fuzzy Set over Resources
Mapping to Linguistic Labels
Discussion and Conclusions
References
Intelligent Control of Uncertain Complex Systems by Adaptation of Fuzzy Ontologies
Introduction
Problem Definition
Intelligent Control System Components
Adaptive Fuzzy Ontology
Situation Control
Strategy Selection
Software Realization
Simulation Results
Conclusions
References
NEtwork Digest Analysis Driven by Association Rule Discoverers
Introduction
NED’s Architecture
Data Stream Processing
Taxonomy Generation
Generation of the Taxonomy Over IP Addresses
Generation of the Taxonomy over Port Numbers
Generation of the Taxonomy over Flow Size and Number of Packets
Taxonomy Conversion
Refinement Analysis
Association Rules
Generalized Association Rules
Data Stream View
Experimental Validation
Experimental Settings
Stream Analysis
Taxonomy Generation
Refinement Analysis
Association Rule Extraction
Generalized Association Rules
Related work
Conclusions
References
Group Classification of Objects with Qualitative Attributes: Multiset Approach
Introduction
Multisets and Multiset Metric Spaces
Representation and Aggregation of Multi-attribute Objects
Group Clustering Multi-attribute Objects
Group Sorting Objects
Applications
Conclusion
References
Empirical Evaluation of Selected Algorithms for Complexity-Based Classification of Software Modules and a New Model
Introduction
Modules Representation Using Complexity Metrics
Statistical Methods
Principal Components Analysis
Discriminant Analysis
Multiple Linear Regression
Logistic Regression
Support Vector Machine
Finite Mixture Models
The Bayesian Finite Dirichlet Mixture
Finite Dirichlet Mixture
Bayesian Estimation
Experimental Results
The MIS Data Set, Metrics and the Experimental Methodology
Experimental Results and Analysis
Conclusion
References
A System Approach to Agent Negotiation and Learning
Introduction
The Petri Net-Based Model
Modular Approaches to Modelling
The Transition-Based Interface
The Place-Based Interface
The Interface in the Form of a PN Subnet
The Reason of the Modular Models
Analysing the Agent Behaviour
Illustrative Examples
Example 1
Example 2
Example 3
Detection of Conflicts
Conflict Resolution Methods
Essential Advantages to Machine Learning, Collective Evolution and Evolutionary Computation
Conclusion
References
An Application of Mean Shift and Adaptive Control to Active Face Tracking
Introduction
Face Detection and Tracking
Face Detection Using Haar-Like Features
Kernel Density Estimation
Description of Proposed Algorithm for Face Detection and Tracking
Adaptive Camera Control
Control Algorithm Design
Visual Implementation of the Adaptive Control Law
Results
Conclusion
References
Time Accounting Artificial Neural Networks for Biochemical Process Models
Introduction
Knowledge Based Hybrid Models
Time Accounting Artificial Neural Networks
Kinetic Rates Estimation by Time Accounting ANN
Case Study - Estimation of Sugar Crystallization Growth Rate
Conclusions
References
Decentralized Adaptive Soft Computing Control of Distributed Parameter Bioprocess Plant
Introduction
Analytical Model of the Anaerobic Digestion Bioprocess Plant
Description of the Direct Fuzzy-Neural Control System
Direct Adaptive FNMM Control System Design
Description of the RTNN Topology and Learning
Description of the Indirect Fuzzy-Neural Control System
Indirect Adaptive FNMM Control System Design
Sliding Mode Control System Design
Simulation Results
Simulation Results of the System Identification
Simulation Results of the Direct HFNMM Control
Simulation Results of the Indirect HFNMM SMC
Simulation Results of the Linear Optimal Control
Conclusions
References
Effective Mutation Operator and Parallel Processing for Nurse Scheduling
Introduction
Cooperative GA for Nurse Scheduling
Encoding the Nurse Schedule
Evaluation of the Nurse Schedule
Basic Algorithm of CGA
Mutation Operator
Parallel CGA for Nurse Scheduling
Expansion of the Nurse Scheduling Problem
Parallel Processing
Practical Experiment
Conclusion
References
Case Studies for Genetic Algorithms in System Identification Tasks
Introduction
Genetic Algorithms
Crossover Operators
Mutation Operators
Model Structure Identification
Applied GA
Results
Model Parameter Identification
Data Sets Used
Applied Genetic Algorithms
Results for the 1$^st$ Operating Area
Results for the 2$^nd$ Operating Area
Validation of the Results
Conclusions
References
Range Statistics and Suppressing Snowflakes Detects for Laser Range Finders in Snowfall
Introduction
Registrations
Snowfall Statistics
Bearing and Range Histograms to Snowflakes
A Suitable Probability Density Function for the Range Distribution?
The URG-04LX Scanning Range Finder
Range Statistics in Different Sectors
Range Statistic from Detects towards Left Reference Wall
Range Statistics from Detects towards Right Reference Wall
Range Statistics towards Snowpile
The Second Monitored Snowfall
Median Filtering of Range Data
Median Filter in Polar Space
Median Filter in Time-Polar Space
Results and Conclusions
References
Situational Modelling for Structural Dynamics Control of Industry-Business Processes and Supply Chains
Introduction
Problem Description
CTOS Structural Dynamics Control
Grounds of Situational Modelling
Processing of Situations
Structural Dynamics Control for IBP and SC
Multi-Criteria Planning of SC Operations
Risk Assessment in SC
Modelling of Safety and Reliability
Conclusions
References
Computational Study of Non-linear Great Deluge for University Course Timetabling
Introduction
The Non-linear Great Deluge Algorithm
The University Course Timetabling Problem
Benchmark Instances
The Objective Function
Algorithm Implementation Details
Neighbourhood Structures
Heuristic to Construct Feasible Timetables
Results with the NLGD Algorithm
Experimental Setting
The Computational Study
Effect of the Non-linear Decay Rate
Conclusions
References
Entropy Operator in Macrosystem Modeling
Introduction
Phenomenological Macrosystem Modeling
Mathematical Model: Classification
Entropy Operator
Macrosystem Model with the Separable Flow
Macrosystem Model mwith the Multiplicative Flow
Dynamic Procedures of the Entropy Restoration of Images by Projections
Model of the Labor Market with the Entropy Operator
Conclusions
References
Generalized Net Model for Parallel Optimization of Feed-Forward Neural Network with Variable Learning Rate Backpropagation Algorithm with Time Limit
Introduction
A GN-Model
Conclusion
References
Towards a Model of the Digital University: A Generalized Net Model for Producing Course Timetables and for Evaluating the Quality of Subjects
Introduction
A GN-Model
Conclusion
References
Intuitionistic Fuzzy Data Quality Attribute Model and Aggregation of Data Quality Measurements
Introduction
The Model Justification
The Intuitionistic Fuzzy Data Quality Attribute Model (IFDQAM)
Calculating the Quality for an Attribute Value at a Certain Dimension
Calculating the Overall Quality for an Attribute Value
Calculating the Overall Quality of a Tuple
Calculating the Overall Quality of the Attributes
Attribute-Based Data Quality in a Data Warehouse
Conclusion
References
Redundancy Detection and Removal Tool for Transparent Mamdani Systems
Motivation
Transparent Mamdani Systems
Error-Free Rule Base Reduction Principles
Implementation
Higher-Order Compression and Decompression
Preserving the Integrity of the Rule Base
Incomplete Rule Bases
Applications
Simplification of Systems from Literature
Mackey-Glass Time Series Prediction
Conclusions
References
Optimization of Linear Objective Function under Fuzzy Equation Constraint in BLβˆ’ Algebras – Theory, Algorithm and Software
Introduction
Basic Notions
Fuzzy Linear Systems
Main Steps in Solving (2)
Linear Optimization Problem – The Algorithm
Maximize the Linear Objective Function, Subject toConstraint (2)
Minimize the Linear Objective Function, Subject toConstraint (2)
Algorithm for Finding Optimal Solutions
Examle
Software
References
Electric Generator Automation and Protection System Fuzzy Safety Analysis
Introduction
Fuzzy Safety Analysis Using Event-Trees
Electric Generator Protection and Automation System
Fuzzy Safety Analysis
Conclusions
References
A Multi-purpose Time Series Data Standardization Method
Introduction
Data Standardization Procedure
Selection of Estimation Genes
Calculation of Standardized Expression Profile
Results and Discussion
Conclusion
Supplementary Materials
References
Classification of Coronary Damage in Chronic Chagasic Patients
Introduction
QRSFeatures
Error-Correcting Output Codes
Decoding Designs
Loss-Weighted Decoding (LW)
Results
Chagas Data Set Categorization
Conclusions
References
Action-Planning and Execution from Multimodal Cues: An Integrated Cognitive Model for Artificial Autonomous Systems
Introduction
Methods
Model Architecture
Managing Bottom-Up Multimodal Sensory Data
Goal Oriented Selective Attention
World Model and Decision Making
Action Planning and Execution
Test Scenarios
Results
Static World, Multirobot Coordination
Dynamic World, Partial Perception
Conclusions
References
Design of a Fuzzy Adaptive Controller for Uncertain Nonlinear Systems with Dead-Zone and Unknown Control Direction
Introduction
Problem Formulation and Definition
Dead-Zone Model
Decomposition of the Matrix G(.)
Nussbaum Function
Description of the Fuzzy Logic System
Design of Fuzzy Adaptive Controller
Simulation Results
Conclusion
References
An Approach for the Development of a Context-Aware and Adaptive eLearning Middleware
Introduction
InfoStation-Based Network Architecture
DeLC Approach
Model Driven Architecture (MDA)
Architectural Levels
Iterations
Basic System Architecture
Tiers and Layers
Middleware Agents
Middleware Architecture
Conclusion
References
New Strategies Based on Multithreading Methodology in Implementing Ant Colony Optimization Schemes for Improving Resource Management in Large Scale Wireless Communication Systems
Introduction
The Proposed Computational Intelligent Model Adapted to Large Scale Wireless Network
Implementation Issues
Experimental Model and Wireless Environment Validation
Simulation Results
Conclusions
References
Author Index


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