Hamzeh Zakeri, Fereidoon Moghadas Nejad, Amir H. Gandomi

Automation and Computational Intelligence for Road Maintenance and Management (eBook, ePUB)

Advances and Applications

• Format: ePub

Produktbeschreibung

Automation and Computational Intelligence for Road Maintenance and Management A comprehensive computational intelligence toolbox for solving problems in infrastructure management In Automation and Computational Intelligence for Road Maintenance and Management, a team of accomplished researchers delivers an incisive reference that covers the latest developments in computer technology infrastructure management. The book contains an overview of foundational and emerging technologies and methods in both automation and computational intelligence, as well as detailed presentations of specific methodologies. The distinguished authors emphasize the most recent advances in the maintenance and management of infrastructure robotics, automated inspection, remote sensing, and the applications of new and emerging computing technologies, including artificial intelligence, evolutionary computing, fuzzy logic, genetic algorithms, knowledge discovery and engineering, and more. Automation and Computational Intelligence for Road Maintenance and Management explores a universal synthesis of the cutting edge in parameters and indices to evaluate models. It also includes: * Thorough introductions to management science and the latest methods of automation and the structure and framework of automation and computing intelligence * Comprehensive explorations of advanced image processing techniques, recent advances in fuzzy, and diagnosis automation * Practical discussions of segmentation and fragmentation and different types of features and feature extraction methods * In-depth examinations of methods of classification along with various developed methodologies and models of quantification, evaluation, and indexing in automation Perfect for postgraduate students in road and transportation engineering, evaluation, and assessment, Automation and Computational Intelligence for Road Maintenance and Management will also earn a place in the libraries of researchers interested in or working with the evaluation and assessment of infrastructure.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 544
• Erscheinungstermin: 22. Juni 2022
• Englisch
• ISBN-13: 9781119800668
• Artikelnr.: 64224907

Autorenporträt

Hamzeh Zakeri, PhD, is Adjunct Research Professor for the Department of Civil and Environment Engineering, Amirkabir University of Technology. His research interests include Automation, and Fuzzy type 2, Image Processing, Remote sensing, Machine Learning, Knowledge extraction, Hybrid Meta-heuristic Application in the field of pavement engineering. Fereidoon Moghadas Nejad, PhD, is Professor and Head of Transportation Group at Amirkabir University of Technology. His research interests include Materials, and Testing, Image Processing, Automation, Fuzzy and Numerical Methods in Pavement and Railway Engineering. Amir H. Gandomi, PhD, is Professor of Data Science and an ARC DECRA Fellow for the Faculty of Engineering and Information Technology at the University of Technology, Sydney. His research interests include Global Optimisation and (Big) Data Analytics using Machine Learning and Evolutionary Computations in particular.

Inhaltsangabe

Dedication xiii

Preface xv

Author Biography xvii

1 Concepts and Foundations Automation and Emerging Technologies 1

1.1 Introduction 1

1.2 Structure and Framework of Automation and Key Performance Indexes (KPIs) 3

1.3 Advanced Image Processing Techniques 4

1.4 Fuzzy and Its Recent Advances 6

1.5 Automatic Detection and Its Applications in Infrastructure 6

1.6 Feature Extraction and Fragmentation Methods 8

1.7 Feature Prioritization and Selection Methods 8

1.8 Classification Methods and Its Applications in Infrastructure Management 10

1.9 Models of Performance Measures and Quantification in Automation 11

1.10 Nature-Inspired Optimization Algorithms (NIOAS) 12

1.11 Summary and Conclusion 14

1.12 Questions and Exercise 14

2 The Structure and Framework of Automation and Key Performance Indices (KPIs) 15

2.1 Introduction 15

2.2 Macro Plan and Architecture of Automation 16

2.2.1 Infrastructure Automation 16

2.2.2 Importance of Infrastructure Automation Evaluation 16

2.3 A General Framework and Design of Automation 17

2.4 Infrastructure Condition Index and Its Relationship with Cracking 20

2.4.1 Road Condition Index 20

2.4.2 Bridge Condition Index 28

2.4.3 Tunnel Condition Index 31

2.5 Automation, Emerging Technologies, and Futures Studies 31

2.6 Summary and Conclusion 32

2.7 Questions 32

Further Reading 32

3 Advanced Images Processing Techniques 35

Introduction 35

3.1 Preprocessing (PPS) 36

3.1.1 Edge Preservation Index (EPI) 39

3.1.2 Edge-Strength Similarity-Based Image Quality Metric (ESSIM) 39

3.1.3 QILV Index 40

3.1.4 Structural Content Index (SCI) 40

3.1.5 Signal-To-Noise Ratio Index (PSNR) 41

3.1.6 Computational time index (CTI) 41

3.2 Preprocessing Using Single-Level Methods 41

3.2.1 Single-Level Methods 42

3.2.2 Linear Location Filter (LLF) 42

3.2.3 Median Filter 44

3.2.4 Wiener Filter 45

3.3 Preprocessing Using Multilevel (Multiresolution) Methods 49

3.3.1 Wavelet Method 49

3.3.2 Ridgelet Transform 57

3.3.3 Curvelet Transform 62

3.3.4 Decompaction and Reconstruction Images Using Shearlet Transform (SHT) 66

3.3.5 Discrete Shearlet Transform (DST) 67

3.3.6 Shearlet Decompaction and Reconstruction 69

3.3.7 Shearlet and Wavelet Comparison 71

3.3.8 Complex Shearlet Transform 74

3.3.9 Complex Shearlet Transform for Image Enhancement 78

3.3.10 Low and High frequencies of Complex Shearlet Transform for Image Denoising 79

3.4 General Comparison of Single/Multilevel Methods and Selection of Methods for Noise Removal and Image Enhancement 87

3.5 Application of Preprocessing 88

3.5.1 Pavement Surface Drainage Condition Assessment 88

3.6 Summary and Conclusion 93

3.7 Questions and Exercises 94

4 Fuzzy and Its Recent Advances 97

4.1 Introduction 97

4.1.1 Type-1 Fuzzy Set Theory 97

4.1.2 Type-2 Fuzzy Set Theory 98

4.1.3 alpha-Plane Representation of General Type-2 Fuzzy Sets 99

4.1.4 Type-Reduction 101

4.1.5 Defuzzification 103

4.1.6 Type-3 Fuzzy Logic Sets 105

4.2 Ambiguity Modeling in the Fuzzy Methods 106

4.2.1 Background of General Type-2 Fuzzy Sets 106

4.3 Theory of Automatic Methods for MF Generation 110

4.3.1 Automatic Procedur