Intelligent Automation and Systems Engineering [electronic resource] /
Ao, Sio-Iong.editor.
Amouzegar, Mahyar.editor.
Rieger, Burghard B.editor.
Ao, Sio-Iong.
Amouzegar, Mahyar.
Rieger, Burghard B.
Intelligent systems are required to facilitate the use of information provided by the internet and other computer based technologies. This book describes the state-of-the-art in Intelligent Automation and Systems Engineering.  Topics covered include Intelligent decision making, Automation, Robotics, Expert systems, Fuzzy systems, Knowledge-based systems, Knowledge extraction, Large database management, Data analysis tools, Computational biology, Optimization algorithms, Experimental designs, Complex system identification, Computational modeling, Systems simulation, Decision modeling, and industrial applications. Provides a comprehensive reference on Intelligent Automation and Systems Engineering; Covers fundamental issues, new technologies and applications; Describes methods for modeling, where the information available may be imprecise, uncertain, incomplete or of a linguistic nature.    .
Description based upon print version of record.
Includes bibliographical references.
Evidence Fusion for Real Time Click Fraud Detection and Prevention -- Biped Locomotion with Arm Swing, Based on Truncated Fourier Series and Bees Algorithm Optimizer -- Bio-inspired Pneumatic Muscle Actuated Robotic System -- Evaluation of an Orthopedic Surgical Robotic System Orthoroby on Bone Cadaver -- Natural Intelligence Based Automatic Knowledge Discovery for Medical Practitioners -- Design and Optimal Control of a Linear Electromechanical Actuator for Motion Platforms -- Design and Optimal Control of a Linear Electromechanical Actuator for Motion Platforms with Six Degrees of Freedom -- Parametric Identification of a Power-system Emulator -- Enhanced Adaptive Controller Applied to SMA Wire Control -- A Standalone System to Train and Evaluate Operators of Power Plants -- Lube Oil Systems Models for Real Time Executions Used on a Training Power Plant Simulator -- Stochastic Analysis and Particle Filtering of the Volatility -- Numerical Simulation of Finite Slider Bearings Using Control Volume Method -- Automated Production Planning and Scheduling System for Composite Component Manufacture -- Assessment Scenarios of Virtual Prototypes of Mining Machines -- A Framework for the Selection of Logistic Service Provider Using Fuzzy Delphi and Fuzzy TOPSIS -- Bee Algorithm for Solving Yield Optimization Problem for Hard  Disk Drive Component and Supplier’s Rating Constraints and Heuristic Performance Comparison -- Integrated Modelling of Functions and Requirements in Product Design and Factory Planning -- Towards a Strategy to Fight the Computer Science (CS) Declining Phenomenon -- Development of Power Plant Simulators and their Application in an Operations Training Center -- Benefits of Unstructured Data for Industrial Quality Analysis -- Evaluation: The Objectivity Measurement of Frequent Patterns -- Change-point Detection Based on SSA in Precipitation Times Series -- Non-linear Image Recovery from a Single Frame Super Resolution Using Pearson Type VII Density -- Research on the Building Method of Domain Lexicon Combining Association Rules and Improved TF*IDF -- Combining Multi-scale and Multidirectional Analysis for Edge Detection Using a Statistical Thresholding -- Soft Vector Quantization with Inverse Power-functions for Machine Learning Applications -- ANFIS-based P300 Detection Using Wavelet Feature Extraction on Blind Source Separated EEG Signals -- A Hyperbola-pair Based Road Detection System for Autonomous Vehicles -- Application of the Real-time Concurrent Constraint Calculus -- Teaching and Learning Routing Protocols Using Visual Educational Tools: The Case of EIGRP -- Relevance Features Selection for Intrusion Detection -- A Visual Application for Teaching and Learning the Advanced Concepts of the Diffusing Update Algorithm for EIGRP.    .
Intelligent systems are required to facilitate the use of information provided by the internet and other computer based technologies. This book describes the state-of-the-art in Intelligent Automation and Systems Engineering.  Topics covered include Intelligent decision making, Automation, Robotics, Expert systems, Fuzzy systems, Knowledge-based systems, Knowledge extraction, Large database management, Data analysis tools, Computational biology, Optimization algorithms, Experimental designs, Complex system identification, Computational modeling, Systems simulation, Decision modeling, and industrial applications. Provides a comprehensive reference on Intelligent Automation and Systems Engineering; Covers fundamental issues, new technologies and applications; Describes methods for modeling, where the information available may be imprecise, uncertain, incomplete or of a linguistic nature.    .
Electronic circuits.
Computational intelligence.
Robotics.
Automation.
Circuits and Systems.
Computational Intelligence.
Robotics and Automation.
Lecture Notes in Electrical Engineering