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Soft Computing Techniques in Engineering Applications.

By: Patnaik, Srikanta.
Contributor(s): Zhong, Baojiang.
Material type: TextTextSeries: eBooks on Demand.Studies in Computational Intelligence: Publisher: Cham : Springer International Publishing AG, z.Hd. Alexander Grossmann, 2014Copyright date: ©2014Description: 1 online resource (208 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9783319046938.Subject(s): Engineering-Data processing | Soft computingGenre/Form: Electronic books.Additional physical formats: Print version:: Soft Computing Techniques in Engineering ApplicationsDDC classification: 620.00285 LOC classification: TA345 .S648 2014Online resources: Click here to view this ebook.
Contents:
Intro -- Contents -- 1 Machine Vision Solutions in Automotive Industry -- Abstract -- 1...Introduction -- 2...Machine Vision -- 2.1 Basics of Machine Vision System -- 2.2 Camera, Lens and Illumination -- 2.2.1 Camera -- 2.2.2 Lens -- 2.2.3 Illumination -- 2.2.4 3-D Imaging System -- 2.3 Software -- 2.4 Interface to Production Environment -- 2.5 Interface to Management Information System -- 3...Applications -- 3.1 Application: Inspection of Spline Gear -- 3.2 Application: Inspection and Control of Flywheel Press System -- 4...Other Applications -- 5...Conclusions -- References -- 2 Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application -- Abstract -- 1...Introduction -- 2...Methods -- 2.1 System Overview -- 2.2 A Background and the Characteristics of Microsoft Kinect -- 3...A Comprehensive Kinect Calibration Method -- 3.1 Calibration of RGB/Depth Camera -- 3.2 Calibration of Depth Sensor -- 3.3 Mapping Between RGB and Depth Image -- 4...The Tri-States Segmentation -- 5...Triangular Mesh Reconstruction -- 5.1 Average Filter -- 5.2 Marching Cubes Algorithm -- 5.3 Area Calculation -- 6...Experimental Result -- 7...Conclusion -- References -- 3 A Matlab GUI Package for Comparing Data Clustering Algorithms -- Abstract -- 1...Introduction -- 2...Clustering Algorithms -- 2.1 k-Means -- 2.2 Fuzzy c-Means -- 2.3 Hierarchical Clustering -- 2.4 Multiobjective Clustering with Support Vector Machine -- 3...Cluster Validity Index -- 3.1 Internal Validity Index -- 3.1.1 J Index -- 3.1.2 Davis-Bouldin Index -- 3.1.3 Dunn Index -- 3.1.4 Xie-Beni Index -- 3.1.5 I Index -- 3.1.6 Silhouette Index -- 3.2 External Validity Index -- 3.2.1 Minkowski Index -- 3.2.2 Adjusted Rand Index -- 3.2.3 Percentage of Correctly Classified Pairs -- 4...Demonstration of Cluster Package -- 4.1 Initial Window -- 4.2 k-Means Window -- 4.3 Fuzzy c-Means Window.
4.4 Hierarchical Clustering Window -- 4.5 MocSvm Clustering -- 4.6 Report Table i.e. Result window -- 4.7 All Cluster Running Window -- 5...Conclusion -- References -- 4 Multi Objective Line Symmetry Based Evolutionary Clustering Approach -- Abstract -- 1...Introduction -- 2...Proposed Symmetry Based Distances -- 3...Multiple Randomized Kd Trees Based Nearest Neighbor Search -- 4...Multi Objective Line Symmetry Based Genetic Clustering Approach -- 4.1 Chromosome Representation -- 4.2 Fitness Computation -- 4.3 Genetic Operators -- 4.3.1 Selection -- 4.3.2 Crossover -- 4.3.3 Mutation -- 4.4 Termination Criterion -- 5...Data Sets and Experimental Results -- 5.1 Artificial Data Sets -- 5.2 Real Data Sets -- 6...Conclusion -- References -- 5 An Efficient Method for Contrast Enhancement of Digital Mammographic Images -- Abstract -- 1...Introduction -- 2...MIAS Database -- 3...Proposed Method -- 4...Simulation Results and Discussions -- 5...Conclusions -- References -- 6 Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle -- Abstract -- 1...Introduction -- 2...Obstacle Detection and Avoidance -- 2.1 Image Processing Based Obstacle Detection -- 2.1.1 Stereo Vision -- 2.1.2 Monocular Vision -- 2.2 Proposed Method for Obstacle Avoidance -- 2.3 Digital Image Processing -- 2.3.1 Basic Relationships Between Pixels -- 2.3.2 Neighbours of a Pixel -- 2.3.3 Connectivity Between Pixels -- 2.3.4 Adjacency Between Pixels -- 2.3.5 Region -- 2.4 Algorithm for Obstacle Detection -- 2.4.1 Thresholding and Region Growing based Image Segmentation -- 3...Pid Controller Based Speed Control of PMDC Motor -- 3.1 PID Controller Overview -- 3.1.1 Proportional -- 3.1.2 Integral -- 3.1.3 Differential (Derivative) -- 3.2 Motor Parameters -- 3.3 Experimental Calculation of Motor Parameters -- 3.3.1 Electric Resistance and Inductance of Armature -- 3.3.2 Electromotive Force Constant.
3.3.3 Moment of Inertia -- 3.3.4 Damping Ratio of the Mechanical System -- 3.4 PMDC Motor Equations -- 3.5 Tuning of Discrete PID Controller -- 3.5.1 Simulation Result -- 3.5.2 Computed Parameters -- 4...Matlab Simulink Based Image Processing for Obstacle Detection -- 4.1 MATLAB Simulink Model -- 4.1.1 RGB to Gray-Scale Conversion -- 4.1.2 Thresholding -- 4.2 Simulation Results -- 5...Results -- 5.1 PID Controller Module -- 5.2 Video Processing Module -- 6...Conclusion -- References -- 7 A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots -- Abstract -- 1...Introduction -- 2...Global Path Planning Algorithms -- 2.1 Breadth First Search (BFS) Algorithm -- 2.2 Depth First Search (DFS) Algorithm -- 2.3 A* Algorithm -- 2.4 Dijkstra's Algorithm -- 2.5 Wall Following Algorithm -- 3...Results and Discussion -- 3.1 Path Planning Through Randomly Located Obstacles -- 3.2 Maze Solving: A Comparison -- 3.3 Maze Solving by Wall Following Algorithm -- 3.4 Breadth First Search (BFS) and Depth First Search (DFS): A Comparison -- 4...Conclusions and Future Work -- Acknowledgments -- References -- 8 Pseudo-Fractional Tap-Length Learning Based Applied Soft Computing for Structure Adaptation of LMS in High Noise Environment -- Abstract -- 1...Introduction -- 2...Problem Formulation -- 3...Existing Algorithms for Dynamic Tap-Length Selection -- 3.1 The Fractional Variable Tap-Length Learning Algorithm -- 4...The VT-VSLMS Algorithm -- 5...Dynamic Tap-Length Optimization -- 6...Proposed Pseudo-Fractional Tap-Length Optimization -- 7...Simulation Setup -- 8...Results and Discussion -- 9...Conclusion -- References -- 9 Medical Image Analysis Using Soft Computing Techniques -- Abstract -- 1...Introduction -- 2...Image Database -- 3...Methodology -- 3.1 Algorithms for Brain Image Segmentation -- 3.2 Algorithms for Retinal Image Classification.
4...Experimental Results and Discussions -- 4.1 Result Analysis of Brain Image Segmentation -- 4.2 Result Analysis of Retinal Image Classification -- 5...Conclusion -- Acknowledgments -- References -- 10 Selection of Robotic Grippers Under MCDM Environment: An Optimized Trade Off Technique -- Abstract -- 1...Introduction -- 2...Literature Survey -- 3...Problem Formulation -- 4...MCDM Methodologies -- 4.1 Analytic Hierarchy Process -- 4.2 TOPSIS -- 4.3 VIKOR -- 5...Solution Using AHP -- 6...Solution Using TOPSIS Methodology -- 7...Solution Using VIKOR Methodology -- 8...Conclusion -- References -- 11 Numerical Study of Viscous Flow in the Hydraulic System of Electro Optical Tracking System -- Abstract -- 1...Introduction -- 1.1 Description of the Hydraulic Systems -- 1.1.1 Oil Reservoir -- 1.1.2 Gear Pump -- 1.1.3 Manifold Block -- 1.1.4 Valves -- 1.1.5 Hydraulic Rotary Actuators -- 1.1.6 Electrical Panel -- 1.2 Selection of Fluid -- 2...Problem Formulation -- 2.1 Mathematical Modeling of Flow -- 2.2 Finite Difference Method for Solving the EOTS Pipeline Axial Flow -- 2.3 Problem Solving -- 3...Numerical Results and Analysis -- 3.1 Axial Velocity Distribution of EOTS Pipeline Axial Flow Field -- 3.2 Relationship Curve Between Axial Velocity and Cross Sectional Length of EOTS Pipeline Flow -- 3.3 Relationship Curve Between Wall Shear Stress and Cross Sectional Width and Height -- 3.4 Computation of f Re -- 4...Conclusion -- Acknowledgments -- A.x(118). Appendix: A -- A.x(118). Appendix: B -- References -- 12 Comparison of Edge Detection Algorithm for Part Identification in a Vision Guided Robotic Assembly System -- Abstract -- 1...Introduction -- 2...Related Work -- 3...System Structure -- 4...Edge Detection -- 4.1 Sobel Operator -- 4.2 Robert's Cross Operator -- 4.3 Prewitt's Operator -- 4.4 Laplacian of Gaussian Operator -- 4.5 Canny's Edge Detection Algorithm.
5...Region Growing Algorithm -- 6...Shape Descriptor -- 7...Results and Discussion -- 7.1 Result of Canny's Operator -- 7.2 Result of LOG Operator -- 7.3 Result of Prewitt Operator -- 7.4 Result of Sobel Operator -- 7.5 Result of Roberts Operator -- 7.6 Comparision of Results -- 8...Conclusions -- References.
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
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TA345 .S648 2014 (Browse shelf) https://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=3092102 Available EBC3092102

Intro -- Contents -- 1 Machine Vision Solutions in Automotive Industry -- Abstract -- 1...Introduction -- 2...Machine Vision -- 2.1 Basics of Machine Vision System -- 2.2 Camera, Lens and Illumination -- 2.2.1 Camera -- 2.2.2 Lens -- 2.2.3 Illumination -- 2.2.4 3-D Imaging System -- 2.3 Software -- 2.4 Interface to Production Environment -- 2.5 Interface to Management Information System -- 3...Applications -- 3.1 Application: Inspection of Spline Gear -- 3.2 Application: Inspection and Control of Flywheel Press System -- 4...Other Applications -- 5...Conclusions -- References -- 2 Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application -- Abstract -- 1...Introduction -- 2...Methods -- 2.1 System Overview -- 2.2 A Background and the Characteristics of Microsoft Kinect -- 3...A Comprehensive Kinect Calibration Method -- 3.1 Calibration of RGB/Depth Camera -- 3.2 Calibration of Depth Sensor -- 3.3 Mapping Between RGB and Depth Image -- 4...The Tri-States Segmentation -- 5...Triangular Mesh Reconstruction -- 5.1 Average Filter -- 5.2 Marching Cubes Algorithm -- 5.3 Area Calculation -- 6...Experimental Result -- 7...Conclusion -- References -- 3 A Matlab GUI Package for Comparing Data Clustering Algorithms -- Abstract -- 1...Introduction -- 2...Clustering Algorithms -- 2.1 k-Means -- 2.2 Fuzzy c-Means -- 2.3 Hierarchical Clustering -- 2.4 Multiobjective Clustering with Support Vector Machine -- 3...Cluster Validity Index -- 3.1 Internal Validity Index -- 3.1.1 J Index -- 3.1.2 Davis-Bouldin Index -- 3.1.3 Dunn Index -- 3.1.4 Xie-Beni Index -- 3.1.5 I Index -- 3.1.6 Silhouette Index -- 3.2 External Validity Index -- 3.2.1 Minkowski Index -- 3.2.2 Adjusted Rand Index -- 3.2.3 Percentage of Correctly Classified Pairs -- 4...Demonstration of Cluster Package -- 4.1 Initial Window -- 4.2 k-Means Window -- 4.3 Fuzzy c-Means Window.

4.4 Hierarchical Clustering Window -- 4.5 MocSvm Clustering -- 4.6 Report Table i.e. Result window -- 4.7 All Cluster Running Window -- 5...Conclusion -- References -- 4 Multi Objective Line Symmetry Based Evolutionary Clustering Approach -- Abstract -- 1...Introduction -- 2...Proposed Symmetry Based Distances -- 3...Multiple Randomized Kd Trees Based Nearest Neighbor Search -- 4...Multi Objective Line Symmetry Based Genetic Clustering Approach -- 4.1 Chromosome Representation -- 4.2 Fitness Computation -- 4.3 Genetic Operators -- 4.3.1 Selection -- 4.3.2 Crossover -- 4.3.3 Mutation -- 4.4 Termination Criterion -- 5...Data Sets and Experimental Results -- 5.1 Artificial Data Sets -- 5.2 Real Data Sets -- 6...Conclusion -- References -- 5 An Efficient Method for Contrast Enhancement of Digital Mammographic Images -- Abstract -- 1...Introduction -- 2...MIAS Database -- 3...Proposed Method -- 4...Simulation Results and Discussions -- 5...Conclusions -- References -- 6 Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle -- Abstract -- 1...Introduction -- 2...Obstacle Detection and Avoidance -- 2.1 Image Processing Based Obstacle Detection -- 2.1.1 Stereo Vision -- 2.1.2 Monocular Vision -- 2.2 Proposed Method for Obstacle Avoidance -- 2.3 Digital Image Processing -- 2.3.1 Basic Relationships Between Pixels -- 2.3.2 Neighbours of a Pixel -- 2.3.3 Connectivity Between Pixels -- 2.3.4 Adjacency Between Pixels -- 2.3.5 Region -- 2.4 Algorithm for Obstacle Detection -- 2.4.1 Thresholding and Region Growing based Image Segmentation -- 3...Pid Controller Based Speed Control of PMDC Motor -- 3.1 PID Controller Overview -- 3.1.1 Proportional -- 3.1.2 Integral -- 3.1.3 Differential (Derivative) -- 3.2 Motor Parameters -- 3.3 Experimental Calculation of Motor Parameters -- 3.3.1 Electric Resistance and Inductance of Armature -- 3.3.2 Electromotive Force Constant.

3.3.3 Moment of Inertia -- 3.3.4 Damping Ratio of the Mechanical System -- 3.4 PMDC Motor Equations -- 3.5 Tuning of Discrete PID Controller -- 3.5.1 Simulation Result -- 3.5.2 Computed Parameters -- 4...Matlab Simulink Based Image Processing for Obstacle Detection -- 4.1 MATLAB Simulink Model -- 4.1.1 RGB to Gray-Scale Conversion -- 4.1.2 Thresholding -- 4.2 Simulation Results -- 5...Results -- 5.1 PID Controller Module -- 5.2 Video Processing Module -- 6...Conclusion -- References -- 7 A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots -- Abstract -- 1...Introduction -- 2...Global Path Planning Algorithms -- 2.1 Breadth First Search (BFS) Algorithm -- 2.2 Depth First Search (DFS) Algorithm -- 2.3 A* Algorithm -- 2.4 Dijkstra's Algorithm -- 2.5 Wall Following Algorithm -- 3...Results and Discussion -- 3.1 Path Planning Through Randomly Located Obstacles -- 3.2 Maze Solving: A Comparison -- 3.3 Maze Solving by Wall Following Algorithm -- 3.4 Breadth First Search (BFS) and Depth First Search (DFS): A Comparison -- 4...Conclusions and Future Work -- Acknowledgments -- References -- 8 Pseudo-Fractional Tap-Length Learning Based Applied Soft Computing for Structure Adaptation of LMS in High Noise Environment -- Abstract -- 1...Introduction -- 2...Problem Formulation -- 3...Existing Algorithms for Dynamic Tap-Length Selection -- 3.1 The Fractional Variable Tap-Length Learning Algorithm -- 4...The VT-VSLMS Algorithm -- 5...Dynamic Tap-Length Optimization -- 6...Proposed Pseudo-Fractional Tap-Length Optimization -- 7...Simulation Setup -- 8...Results and Discussion -- 9...Conclusion -- References -- 9 Medical Image Analysis Using Soft Computing Techniques -- Abstract -- 1...Introduction -- 2...Image Database -- 3...Methodology -- 3.1 Algorithms for Brain Image Segmentation -- 3.2 Algorithms for Retinal Image Classification.

4...Experimental Results and Discussions -- 4.1 Result Analysis of Brain Image Segmentation -- 4.2 Result Analysis of Retinal Image Classification -- 5...Conclusion -- Acknowledgments -- References -- 10 Selection of Robotic Grippers Under MCDM Environment: An Optimized Trade Off Technique -- Abstract -- 1...Introduction -- 2...Literature Survey -- 3...Problem Formulation -- 4...MCDM Methodologies -- 4.1 Analytic Hierarchy Process -- 4.2 TOPSIS -- 4.3 VIKOR -- 5...Solution Using AHP -- 6...Solution Using TOPSIS Methodology -- 7...Solution Using VIKOR Methodology -- 8...Conclusion -- References -- 11 Numerical Study of Viscous Flow in the Hydraulic System of Electro Optical Tracking System -- Abstract -- 1...Introduction -- 1.1 Description of the Hydraulic Systems -- 1.1.1 Oil Reservoir -- 1.1.2 Gear Pump -- 1.1.3 Manifold Block -- 1.1.4 Valves -- 1.1.5 Hydraulic Rotary Actuators -- 1.1.6 Electrical Panel -- 1.2 Selection of Fluid -- 2...Problem Formulation -- 2.1 Mathematical Modeling of Flow -- 2.2 Finite Difference Method for Solving the EOTS Pipeline Axial Flow -- 2.3 Problem Solving -- 3...Numerical Results and Analysis -- 3.1 Axial Velocity Distribution of EOTS Pipeline Axial Flow Field -- 3.2 Relationship Curve Between Axial Velocity and Cross Sectional Length of EOTS Pipeline Flow -- 3.3 Relationship Curve Between Wall Shear Stress and Cross Sectional Width and Height -- 3.4 Computation of f Re -- 4...Conclusion -- Acknowledgments -- A.x(118). Appendix: A -- A.x(118). Appendix: B -- References -- 12 Comparison of Edge Detection Algorithm for Part Identification in a Vision Guided Robotic Assembly System -- Abstract -- 1...Introduction -- 2...Related Work -- 3...System Structure -- 4...Edge Detection -- 4.1 Sobel Operator -- 4.2 Robert's Cross Operator -- 4.3 Prewitt's Operator -- 4.4 Laplacian of Gaussian Operator -- 4.5 Canny's Edge Detection Algorithm.

5...Region Growing Algorithm -- 6...Shape Descriptor -- 7...Results and Discussion -- 7.1 Result of Canny's Operator -- 7.2 Result of LOG Operator -- 7.3 Result of Prewitt Operator -- 7.4 Result of Sobel Operator -- 7.5 Result of Roberts Operator -- 7.6 Comparision of Results -- 8...Conclusions -- References.

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