List Of Figures
. -- List Of Tables
. -- Foreword
. -- Introduction
. -- Preface
. -- Acknowledgments
. -- Acronyms
. -- Part I Extended Reality Education
. -- 1 Mixed Reality Use In Higher Education: Results From An International Survey
. -- J. Riman, N. Winters, J. Zelenak, I. Yucel, J. G. Tromp
. -- 1.1 Introduction
. -- 1.2 Organizational Framework
. -- 1.3 Online Survey About Mr Usage
. -- 1.4 Results
. -- 1.4.1 Use In Classrooms
. -- 1.4.2 Challenges
. -- 1.4.3 Examples Of Research In Action
. -- 1.4.4 Hardware And Software For Use In Classrooms And Research
. -- 1.4.5 Challenges Described By Researcher Respondents
. -- 1.4.6 Anecdotal Responses About Challenges
. -- 1.5 Conclusion
. -- References
. -- 2 Applying 3D Vr Technology For Human Body Simulation To Teaching, Learning And Studying
. -- Le Van Chung, Gia Nhu Nguyen, Tung Sanh Nguyen, Tri Huu Nguyen, Dac-Nhuong Le
. -- 2.1 Introduction
. -- 2.2 Related Works
. -- 2.3 3D Human Body Simulation System
. -- 2.3.1 The Simulated Human Anatomy Systems
. -- 2.3.2 Simulated Activities And Movements
. -- 2.3.3 Evaluation Of The System
. -- 2.4 Discussion Of Future Work
. -- 2.5 Conclusion
. -- References
. -- Part Ii Internet Of Things
. -- 3 a Safety Tracking And Sensor System For School Buses In Saudi Arabia
. -- Samah Abbas, Hajar Mohammed, Laila Almalki Maryam Hassan, Maram Meccawy
. -- 3.1 Introduction
. -- 3.2 Related Work
. -- 3.3 Data Gathering Phase
. -- 3.3.1 Questionnaire
. -- 3.3.2 Driver Interviews
. -- 3.4 The Proposed Safety Tracking And Sensor School Bus System
. -- 3.4.1 System Analysis And Design
. -- 3.4.2 User Interface Design
. -- 3.5 Testing And Results
. -- 3.6 Discussion And Limitation
. -- 3.7 Conclusions And Future Work
. -- References
. -- 4 a Lightweight Encryption Algorithm Applied To a Quantized Speech Image For Secure Iot
. -- Mourad Talbi
. -- 4.1 Introduction
. -- 4.2 Applications Of Iot
. -- 4.3 Security Challenges In Iot
. -- 4.4 Cryptographic Algorithms For Iot
. -- 4.5 The Proposed Algorithm
. -- 4.6 Experimental Setup
. -- 4.7 Results And Discussion
. -- 4.8 Conclusion
. -- References
. -- Part Iii Mobile Technology
. -- 5 The Impact Of Social Media Adoption On Entrepreneurial Ecosystem
. -- Bodor Almotairy, Manal Abdullah, Rabeeh Abbasi
. -- 5.1 Introduction
. -- 5.2 Background
. -- 5.2.1 Small And Medium-Sized Enterprises (Smes)
. -- 5.2.2 Social Media
. -- 5.2.3 Social Networks And Entrepreneurial Activities
. -- 5.3 Analysis Methodology
. -- 5.4 Understanding The Entrepreneurial Ecosystem
. -- 5.5 Social Media And Entrepreneurial Ecosystem
. -- 5.5.1 Social Media Platforms And Entrepreneurship
. -- 5.5.2 The Drivers Of Social Media Adoption
. -- 5.5.3 The Motivations And Benefits For Entrepreneurs To Use Social Media
. -- 5.5.4 Entrepreneurship Activities Analysis Techniques In Social Media Networks
. -- 5.6 Research Gap And Recommended Solution
. -- 5.6.1 Research Gap
. -- 5.6.2 Recommended Solution
. -- 5.7 Conclusion
. -- References
. -- 6 Human Factors For E-Health Training System: Ux Testing For Xr Anatomy Training App
. -- Zhushun Timothy Cai, Oliver Medonza, Kristen Ray, Chung Van Le, Damian Schofield, Jolanda Tromp
. -- 6.1 Introduction
. -- 6.2 Mobile Learning Applications
. -- 6.3 Ease Of Use And Usability
. -- 6.3.1 Effectiveness
. -- 6.3.2 Efficiency
. -- 6.3.3 Satisfaction
. -- 6.4 Methods And Materials
. -- 6.5 Results
. -- 6.5.1 Task Completion Rate (Tcr)
. -- 6.5.2 Time-On-Task (Tot)
. -- 6.5.3 After-Scenario Questionnaire (Asq)
. -- 6.5.4 Post-Study System Usability Questionnaire (Pssuq)
. -- 6.6 Conclusion
. -- References
. -- Part Iv Towards Digital Twins And Robotics
. -- 7 Augmented Reality At Heritage Sites: Technological Advances And Embodied Spatially Minded Interactions
. -- Lesley Johnston, Romy Galloway, Jordan John Trench, Matthieu Poyade, Jolanda Tromp, Hoang Thi My
. -- 7.1 Introduction
. -- 7.2 Augmented Reality Devices
. -- 7.3 Detection And Tracking
. -- 7.4 Environmental Variation
. -- 7.5 Experiential And Embodied Interactions
. -- 7.6 User Experience And Presence In Ar
. -- 7.7 Conclusion
. -- References
. -- 8 Teleci Architecture For Machine Learning Algorithms Integration In An Existing Lms
. -- V. Zagorskis, A. Gorbunovs, A. Kapenieks
. -- 8.1 Introduction
. -- 8.2 Teleci Architecture
. -- 8.2.1 Teleci Interface To a Real Lms
. -- 8.2.2 First Rs Steps In The Teleci System
. -- 8.2.3 Real Student Data For Vs Model
. -- 8.2.4 Teleci Interface To Vs Subsystem
. -- 8.2.5 Teleci Interface To Ai Component
. -- 8.3 Implementing Ml Technique
. -- 8.3.1 Organizational Activities
. -- 8.3.2 Data Processing
. -- 8.3.3 Computing And Networking Resources
. -- 8.3.4 Introduction To Algorithm
. -- 8.3.5 Calibration Experiment
. -- 8.4 Learners’ Activity Issues
. -- 8.5 Conclusion
. -- References
. -- Part V Big Data Analytics
. -- 9 Enterprise Innovation Management In Industry 4.0: Modeling Aspects
. -- V. Babenko
. -- 9.1 Introduction
. -- 9.2 Conceptual Model Of Enterprise Innovation Process Management
. -- 9.3 Formation Of Restrictions For Enterprise Innovation Management Processes
. -- 9.4 Formation Of Quality Criteria For Assessing Implementation Of Enterprise Innovation Management Processes
. -- 9.5 Statement Of Optimization Task Of Implementation Of Enterprise Innovation Management Processes
. -- 9.6 Structural And Functional Model For Solving The Task Of Dynamic
. -- 9.7 Formulation Of The Task Of Minimax Program Management Of Innovation Processes At Enterprises
. -- 9.8 General Scheme For Solving The Task Of Minimax Program Management Of Innovation Processes At The Enterprises
. -- 9.9 Model Of Multicriteria Optimization Of Program Management Of Innovation Processes
. -- 9.10 Conclusion
. -- References
. -- 10 Using Simulation For Development Of Automobile Gas Diesel Engine Systems And Their Operational Control
. -- Mikhail G. Shatrov, Vladimir V. Sinyavski, Andrey Yu. Dunin, Ivan G. Shishlov, Sergei D. Skorodelov, Andrey L. Yakovenko
. -- 10.1 Introduction
. -- 10.2 Computer Modeling
. -- 10.3 Gas Diesel Engine Systems Developed
. -- 10.3.1 Electronic Engine Control System
. -- 10.3.2 Modular Gas Feed System
. -- 10.3.3 Common Rail Fuel System For Supply Of The Ignition Portion Of Diesel Fuel
. -- 10.4 Results And Discussion
. -- 10.4.1 Results Of Diesel Fuel Supply System Simulation
. -- 10.4.2 Results Of Engine Bed Tests
. -- 10.5 Conclusion
. -- References
. -- Part Vi Towards Cognitive Computing
. -- 11 Classification Of Concept Drift In Evolving Data Stream
. -- Mashail Althabiti And Manal Abdullah
. -- 11.1 Introduction
. -- 11.2 Data Mining
. -- 11.3 Data Stream Mining
. -- 11.3.1 Data Stream Challenges
. -- 11.3.2 Features Of Data Stream Methods
. -- 11.4 Data Stream Sources
. -- 11.5 Data Stream Mining Components
. -- 11.5.1 Input
. -- 11.5.2 Estimators
. -- 11.6 Data Stream Classification And Concept Drift
. -- 11.6.1 Data Stream Classification
. -- 11.6.2 Concept Drift
. -- 11.6.3 Data Stream Classification Algorithms With Concept Drift
. -- 11.6.4 Single Classifier
. -- 11.6.5 Ensemble Classifiers
. -- 11.6.6 Output
. -- 11.7 Datasets
. -- 11.8 Evaluation Measures
. -- 11.9 Data Stream Mining Tools
. -- 11.10 Data Stream Mining Applications
. -- 11.11 Conclusion
. -- References
. -- 12 Dynamical Mass Transfer Systems In Buslaev Contour Networks With Conflicts
. -- Marina Yashina, Alexander Tatashev, Ivan Kuteynikov
. -- 12.1 Introduction
. -- 12.2 Construction Of Buslaev Contour Networks
. -- 12.3 Concept Of Spectrum
. -- 12.4 One-Dimensional Contour Network Binary Chain Of Contours
. -- 12.5 Two-Dimensional Contour Network-Chainmail
. -- 12.6 Random Process With Restrictions On The Contour With The Possibility Of Particle Movement In Both Directions
. -- 12.7 Conclusion
. -- References
. -- 13 Parallel Simulation And Visualization Of Traffic Flows Using Cellular Automata Theory And Quasigasdynamic Approach
. -- Antonina Chechina, Natalia Churbanova, Pavel Sokolov, Marina Trapeznikova, Mikhail German, Alexey Ermakov, Obidzhon Bozorov
. -- 13.1 Introduction
. -- 13.2 The Original Ca Model
. -- 13.3 The Slow-To-Start Version Of The Ca Model
. -- 13.4 Numerical Realization
. -- 13.5 Test Predictions For The Ca Model
. -- 13.6 The Qgd Approach To Traffic Flow Modeling
. -- 13.7 Parallel Implementation Of The Qgd Traffic Model
. -- 13.8 Test Predictions For The Qgd Traffic Model
. -- 13.9 Conclusion
. -- References