In den 16 Kapiteln dieses Buches werden neue Architekturen, Vernetzungsparadigmen, vertrauenswürdige Strukturen und Plattformen für die Integration von Anwendungen in verschiedenen Geschäftsbereichen und Branchen erörtert, die für die Einführung (stationärer oder mobiler) ?intelligenter Dinge? in kollaborativen autonomen Flotten erforderlich sind. Die neuen Anwendungen beschleunigen den Fortschritt der Paradigmen beim Design autonomer Systeme und die Verbreitung des Internets der robotischen Dinge (IoRT). Kollaborative robotische Dinge können im IoRT mit anderen Dingen kommunizieren,…mehr
In den 16 Kapiteln dieses Buches werden neue Architekturen, Vernetzungsparadigmen, vertrauenswürdige Strukturen und Plattformen für die Integration von Anwendungen in verschiedenen Geschäftsbereichen und Branchen erörtert, die für die Einführung (stationärer oder mobiler) ?intelligenter Dinge? in kollaborativen autonomen Flotten erforderlich sind. Die neuen Anwendungen beschleunigen den Fortschritt der Paradigmen beim Design autonomer Systeme und die Verbreitung des Internets der robotischen Dinge (IoRT). Kollaborative robotische Dinge können im IoRT mit anderen Dingen kommunizieren, selbständig lernen, sicher mit der Welt, Menschen und anderen Dingen interagieren und sich Eigenschaften wie Selbstwartung, Selbstwahrnehmung, Selbstheilung und Ausfallsicherheit aneignen. Durch die Allgegenwärtigkeit der robotischen Dinge gewinnt das ?Internet der robotischen Dinge?, das die Sensoren und die Objekte robotischer Dinge miteinander verbindet, zunehmend an Popularität.
Produktdetails
Produktdetails
Artificial Intelligence and Soft Computing for Industrial Transformation
R. Anandan PhD, completed his PhD in Computer Science and Engineering, is an IBMS/390 Mainframe professional, and is recognized as a Chartered Engineer from the Institution of Engineers in India and received a fellowship from Bose Science Society, India. He is a Professor in the Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. He has published more than 110 research papers in various international journals, authored 9 books in the computer science and engineering disciplines, and has received 13 awards. G. Suseendran PhD, received his PhD in Information Technology-Mathematics from Presidency College, University of Madras, Tamil Nadu, India. He passed away during the production of this book. S. Balamurugan PhD, SMIEEE, ACM Distinguished Speaker, received his PhD from Anna University, India. He has published 57 books, 300+ international journals/conferences, and 100 patents. He is the Director of the Albert Einstein Engineering and Research Labs. He is also the Vice-Chairman of the Renewable Energy Society of India (RESI). He is serving as a research consultant to many companies, startups, SMEs, and MSMEs. He has received numerous awards for research at national and international levels. Ashish Mishra PhD, is a professor in the Department of Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences, Jabalpur [M.P]. He received his PhD from AISECT University, Bhopal, India. He has published many research papers in reputed journals and conferences, been granted 1 patent, and has authored/edited 4 books in the areas of data mining, image processing, and artificial intelligence. D. Balaganesh PhD, is a Dean of Faculty Computer Science and Multimedia, Lincoln University College, Malaysia. He has developed software applications "Timetable Automation", "Online Exam" as well as published the book Computer Applications in Business.
Inhaltsangabe
Preface xix
1 Internet of Robotic Things: A New Architecture and Platform 1 V. Vijayalakshmi, S. Vimal and M. Saravanan
1.1 Introduction 2
1.1.1 Architecture 3
1.1.1.1 Achievability of the Proposed Architecture 6
1.1.1.2 Qualities of IoRT Architecture 6
1.1.1.3 Reasonable Existing Robots for IoRT Architecture 8
1.2 Platforms 9
1.2.1 Cloud Robotics Platforms 9
1.2.2 IoRT Platform 10
1.2.3 Design a Platform 11
1.2.4 The Main Components of the Proposed Approach 11
1.2.5 IoRT Platform Design 12
1.2.6 Interconnection Design 15
1.2.7 Research Methodology 17
1.2.8 Advancement Process--Systems Thinking 17
1.2.8.1 Development Process 17
1.2.9 Trial Setup-to Confirm the Functionalities 18
1.3 Conclusion 20
1.4 Future Work 21
References 21
2 Brain-Computer Interface Using Electroencephalographic Signals for the Internet of Robotic Things 27 R. Raja Sudharsan and J. Deny
2.1 Introduction 28
2.2 Electroencephalography Signal Acquisition Methods 30
2.2.1 Invasive Method 31
2.2.2 Non-Invasive Method 32
2.3 Electroencephalography Signal-Based BCI 32
2.3.1 Prefrontal Cortex in Controlling Concentration Strength 33
2.3.2 Neurosky Mind-Wave Mobile 34
2.3.2.1 Electroencephalography Signal Processing Devices 34
2.3.3 Electromyography Signal Extraction of Features and Its Signal Classifications 37
2.4 IoRT-Based Hardware for BCI 40
2.5 Software Setup for IoRT 40
2.6 Results and Discussions 42
2.7 Conclusion 47
References 48
3 Automated Verification and Validation of IoRT Systems 55 S.V. Gayetri Devi and C. Nalini
3.1 Introduction 56
3.1.1 Automating V&V--An Important Key to Success 58
3.2 Program Analysis of IoRT Applications 59
3.2.1 Need for Program Analysis 59
3.2.2 Aspects to Consider in Program Analysis of IoRT Systems 59
3.3 Formal Verification of IoRT Systems 61
3.3.1 Automated Model Checking 61
3.3.2 The Model Checking Process 62
3.3.2.1 PRISM 65
3.3.2.2 UPPAAL 66
3.3.2.3 SPIN Model Checker 67
3.3.3 Automated Theorem Prover 69
3.3.3.1 ALT-ERGO 70
3.3.4 Static Analysis 71
3.3.4.1 CODESONAR 72
3.4 Validation of IoRT Systems 73
3.4.1 IoRT Testing Methods 79
3.4.2 Design of IoRT Test 80
3.5 Automated Validation 80
3.5.1 Use of Service Visualization 82
3.5.2 Steps for Automated Validation of IoRT Systems 82
3.5.3 Choice of Appropriate Tool for Automated Validation 84
3.5.4 IoRT Systems Open Source Automated Validation Tools 85
3.5.5 Some of Significant Open Source Test Automation Frameworks 86
3.5.6 Finally IoRT Security Testing 86
3.5.7 Prevalent Approaches for Security Validation 87
3.5.8 IoRT Security Tools 87
References 88
4 Light Fidelity (Li-Fi) Technology: The Future Man-Machine-Machine Interaction Medium 91 J.M. Gnanasekar and T. Veeramakali
4.1 Introduction 92
4.1.1 Need for Li-Fi 94
4.2 Literature Survey 94
4.2.1 An Overview on Man-to-Machine Interaction System 95
4.2.2 Review on Machine to Machine (M2M) Interaction 96
