Emerging Extended Reality Technologies for Industry 4.0

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Emerging Extended Reality Technologies for Industry 4.0, Wiley
Early Experiences with Conception, Design, Implementation, Evaluation and Deployment
Von Jolanda G. Tromp, Dac-Nhuong Le, Chung Van Le, im heise Shop in digitaler Fassung erhältlich
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In the fast-developing world of Industry 4.0, which combines Extended Reality (XR) technologies, such as Virtual Reality (VR) and Augmented Reality (AR), creating location aware applications to interact with smart objects and smart processes via Cloud Computing strategies enabled with Artificial Intelligence (AI) and the Internet of Things (IoT), factories and processes can be automated and machines can be enabled with self-monitoring capabilities. Smart objects are given the ability to analyze and communicate with each other and their human co-workers, delivering the opportunity for much smoother processes, and freeing up workers for other tasks. Industry 4.0 enabled smart objects can be monitored, designed, tested and controlled via their digital twins, and these processes and controls are visualized in VR/AR. The Industry 4.0 technologies provide powerful, largely unexplored application areas that will revolutionize the way we work, collaborate and live our lives. It is important to understand the opportunities and impact of the new technologies and the effects from a production, safety and societal point of view.

JOLANDA G. TROMP is a Human-Computer Interaction expert for User-Centered design and evaluation of new technologies (VR/AR/AI/IoT), with 20 years' experience as principal Usability investigator. She has a PhD in Systematic Usability Design and Evaluation for Collaborative Virtual Environments, 2001, University of Nottingham, United Kingdom, a BSc in Psychology (with honors) University of Amsterdam, Holland (1995). She is a research consultant for the Center of Visualization and Simulation at Duy Tan University, Vietnam; for the Mixed Reality Task Group of the State University of New York; and for the global Simulations Working Group. DAC-NHUONG LE is PhD Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam. His areas of research include: evolutionary computation, specialized with evolutionary multiobjective optimization, approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, image processing in biomedical. His core work in evolutionary multi-objective optimization, network security, wireless, mobile computing and virtual reality. He has edited several books for the Wiley-Scrivener imprint. CHUNG VAN LE is Vice-Director Center of Visualization and Simulation. He has a MSc in Computer Science from Duy Tan University, 2011, Vietnam and a BSc in Computer Science at Da Nang University, 2004, Vietnam. He is currently pursuing a PhD at Duy Tan University, Vietnam. He researches medical image processing, e-Health, virtual simulation in medicine. He is Duy Tan University Lead Software Developer for 3D virtual body system for teaching anatomy and virtual endoscopic techniques for medical students. List of Figures xi

List of Tables xv

Foreword xvii

Introduction xix

Preface xxiii

Acknowledgments xxv

Acronyms xxvii

PART I EXTENDED REALITY EDUCATION

1 MIXED REALITY USE IN HIGHER EDUCATION: RESULTS FROM AN INTERNATIONAL SURVEY 3

J. Riman, N. Winters, J. Zelenak, I. Yucel, J. G. Tromp

1.1 Introduction 4

1.2 Organizational Framework 4

1.3 Online Survey About MR Usage 5

1.4 Results 6

1.4.1 Use in Classrooms 8

1.4.2 Challenges 9

1.4.3 Examples of Research in Action 10

1.4.4 Hardware and Software for Use in Classrooms and Research 10

1.4.5 Challenges Described by Researcher Respondents 12

1.4.6 Anecdotal Responses about Challenges 12

1.5 Conclusion 13

References 15

2 APPLYING 3D VR TECHNOLOGY FOR HUMAN BODY SIMULATION TO TEACHING, LEARNING AND STUDYING 17

Le Van Chung, Gia Nhu Nguyen, Tung Sanh Nguyen, Tri Huu Nguyen, Dac-Nhuong Le

2.1 Introduction 18

2.2 Related Works 18

2.3 3D Human Body Simulation System 19

2.3.1 The Simulated Human Anatomy Systems 19

2.3.2 Simulated Activities and Movements 20

2.3.3 Evaluation of the System 23

2.4 Discussion of Future Work 25

2.5 Conclusion 26

References 26

PART II INTERNET OF THINGS

3 A SAFETY TRACKING AND SENSOR SYSTEM FOR SCHOOL BUSES IN SAUDI ARABIA 31

Samah Abbas, Hajar Mohammed, Laila Almalki Maryam Hassan, Maram Meccawy

3.1 Introduction 32

3.2 Related Work 32

3.3 Data Gathering Phase 33

3.3.1 Questionnaire 34

3.3.2 Driver Interviews 35

3.4 The Proposed Safety Tracking and Sensor School Bus System 36

3.4.1 System Analysis and Design 37

3.4.2 User Interface Design 38

3.5 Testing and Results 41

3.6 Discussion and Limitation 42

3.7 Conclusions and Future Work 42

References 42

4 A LIGHTWEIGHT ENCRYPTION ALGORITHM APPLIED TO A QUANTIZED SPEECH IMAGE FOR SECURE IOT 45

Mourad Talbi

4.1 Introduction 46

4.2 Applications of IoT 46

4.3 Security Challenges in IoT 47

4.4 Cryptographic Algorithms for IoT 47

4.5 The Proposed Algorithm 48

4.6 Experimental Setup 50

4.7 Results and Discussion 52

4.8 Conclusion 57

References 58

PART III MOBILE TECHNOLOGY

5 THE IMPACT OF SOCIAL MEDIA ADOPTION ON ENTREPRENEURIAL ECOSYSTEM 63

Bodor Almotairy, Manal Abdullah, Rabeeh Abbasi

5.1 Introduction 64

5.2 Background 65

5.2.1 Small and Medium-Sized Enterprises (SMEs) 65

5.2.2 Social Media 65

5.2.3 Social Networks and Entrepreneurial Activities 66

5.3 Analysis Methodology 66

5.4 Understanding the Entrepreneurial Ecosystem 67

5.5 Social Media and Entrepreneurial Ecosystem 69

5.5.1 Social Media Platforms and Entrepreneurship 71

5.5.2 The Drivers of Social Media Adoption 71

5.5.3 The Motivations and Benefits for Entrepreneurs to Use Social Media 71

5.5.4 Entrepreneurship Activities Analysis Techniques in Social Media Networks 71

5.6 Research Gap and Recommended Solution 73

5.6.1 Research Gap 73

5.6.2 Recommended Solution 74

5.7 Conclusion 74

References 75

6 HUMAN FACTORS FOR E-HEALTH TRAINING SYSTEM: UX TESTING FOR XR ANATOMY TRAINING APP 81

Zhushun Timothy Cai, Oliver Medonza, Kristen Ray, Chung Van Le, Damian Schofield, Jolanda Tromp

6.1 Introduction 82

6.2 Mobile Learning Applications 82

6.3 Ease of Use and Usability 82

6.3.1 Effectiveness 83

6.3.2 Efficiency 83

6.3.3 Satisfaction 83

6.4 Methods and Materials 86

6.5 Results 89

6.5.1 Task Completion Rate (TCR) 89

6.5.2 Time-on-Task (TOT) 90

6.5.3 After-Scenario Questionnaire (ASQ) 91

6.5.4 Post-Study System Usability Questionnaire (PSSUQ) 93

6.6 Conclusion 93

References 94

PART IV TOWARDS DIGITAL TWINS AND ROBOTICS

7 AUGMENTED REALITY AT HERITAGE SITES: TECHNOLOGICAL ADVANCES AND EMBODIED SPATIALLY MINDED INTERACTIONS 101

Lesley Johnston, Romy Galloway, Jordan John Trench, Matthieu Poyade, Jolanda Tromp, Hoang Thi My

7.1 Introduction 102

7.2 Augmented Reality Devices 103

7.3 Detection and Tracking 105

7.4 Environmental Variation 106

7.5 Experiential and Embodied Interactions 109

7.6 User Experience and Presence in AR 114

7.7 Conclusion 115

References 116

8 TELECI ARCHITECTURE FOR MACHINE LEARNING ALGORITHMS INTEGRATION IN AN EXISTING LMS 121

V. Zagorskis, A. Gorbunovs, A. Kapenieks

8.1 Introduction 122

8.2 TELECI Architecture 123

8.2.1 TELECI Interface to a Real LMS 123

8.2.2 First RS Steps in the TELECI System 124

8.2.3 Real Student Data for VS Model 125

8.2.4 TELECI Interface to VS Subsystem 126

8.2.5 TELECI Interface to AI Component 128

8.3 Implementing ML Technique 128

8.3.1 Organizational Activities 128

8.3.2 Data Processing 129

8.3.3 Computing and Networking Resources 130

8.3.4 Introduction to Algorithm 130

8.3.5 Calibration Experiment 132

8.4 Learners’ Activity Issues 133

8.5 Conclusion 136

References 137

PART V BIG DATA ANALYTICS

9 ENTERPRISE INNOVATION MANAGEMENT IN INDUSTRY 4.0: MODELING ASPECTS 141

V. Babenko

9.1 Introduction 142

9.2 Conceptual Model of Enterprise Innovation Process Management 144

9.3 Formation of Restrictions for Enterprise Innovation Management Processes 147

9.4 Formation of Quality Criteria for Assessing Implementation of Enterprise Innovation Management Processes 148

9.5 Statement of Optimization Task of Implementation of Enterprise Innovation Management Processes 148

9.6 Structural and Functional Model for Solving the Task of Dynamic 150

9.7 Formulation of the Task of Minimax Program Management of Innovation Processes at Enterprises 152

9.8 General Scheme for Solving the Task of Minimax Program Management of Innovation Processes at the Enterprises 154

9.9 Model of Multicriteria Optimization of Program Management of Innovation Processes 156

9.10 Conclusion 161

References 162

10 USING SIMULATION FOR DEVELOPMENT OF AUTOMOBILE GAS DIESEL ENGINE SYSTEMS AND THEIR OPERATIONAL CONTROL 165

Mikhail G. Shatrov, Vladimir V. Sinyavski, Andrey Yu. Dunin, Ivan G. Shishlov, Sergei D. Skorodelov, Andrey L. Yakovenko

10.1 Introduction 166

10.2 Computer Modeling 167

10.3 Gas Diesel Engine Systems Developed 168

10.3.1 Electronic Engine Control System 168

10.3.2 Modular Gas Feed System 169

10.3.3 Common Rail Fuel System for Supply of the Ignition Portion of Diesel Fuel 169

10.4 Results and Discussion 172

10.4.1 Results of Diesel Fuel Supply System Simulation 172

10.4.2 Results of Engine Bed Tests 181

10.5 Conclusion 183

References 184

PART VI TOWARDS COGNITIVE COMPUTING

11 CLASSIFICATION OF CONCEPT DRIFT IN EVOLVING DATA STREAM 189

Mashail Althabiti and Manal Abdullah

11.1 Introduction 190

11.2 Data Mining 190

11.3 Data Stream Mining 191

11.3.1 Data Stream Challenges 191

11.3.2 Features of Data Stream Methods 193

11.4 Data Stream Sources 193

11.5 Data Stream Mining Components 193

11.5.1 Input 194

11.5.2 Estimators 194

11.6 Data Stream Classification and Concept Drift 194

11.6.1 Data Stream Classification 194

11.6.2 Concept Drift 194

11.6.3 Data Stream Classification Algorithms with Concept Drift 196

11.6.4 Single Classifier 196

11.6.5 Ensemble Classifiers 197

11.6.6 Output 200

11.7 Datasets 200

11.8 Evaluation Measures 200

11.9 Data Stream Mining Tools 201

11.10 Data Stream Mining Applications 202

11.11 Conclusion 202

References 202

12 DYNAMICAL MASS TRANSFER SYSTEMS IN BUSLAEV CONTOUR NETWORKS WITH CONFLICTS 207

Marina Yashina, Alexander Tatashev, Ivan Kuteynikov

12.1 Introduction 208

12.2 Construction of Buslaev Contour Networks 210

12.3 Concept of Spectrum 211

12.4 One-Dimensional Contour Network Binary Chain of Contours 212

12.5 Two-Dimensional Contour Network-Chainmail 214

12.6 Random Process with Restrictions on the Contour with the Possibility of Particle Movement in Both Directions 218

12.7 Conclusion 218

References 219

13 PARALLEL SIMULATION AND VISUALIZATION OF TRAFFIC FLOWS USING CELLULAR AUTOMATA THEORY AND QUASIGASDYNAMIC APPROACH 223

Antonina Chechina, Natalia Churbanova, Pavel Sokolov, Marina Trapeznikova, Mikhail German, Alexey Ermakov, Obidzhon Bozorov

13.1 Introduction 224

13.2 The Original CA Model 224

13.3 The Slow-to-Start Version of the CA Model 225

13.4 Numerical Realization 225

13.5 Test Predictions for the CA Model 229

13.6 The QGD Approach to Traffic Flow Modeling 230

13.7 Parallel Implementation of the QGD Traffic Model 232

13.8 Test Predictions for the QGD Traffic Model 232

13.9 Conclusion 235

References 236
Artikel-Details
Anbieter:
Wiley
Autor:
Chung Van Le, Dac-Nhuong Le, Jolanda G. Tromp
Artikelnummer:
9781119654698
Veröffentlicht:
26.03.20
Seitenanzahl:
272