| Description |
1 online resource (589 p.) |
| Series |
Signals and Communication Technology |
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Signals and communication technology.
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| Contents |
Intro -- Introduction -- Contents -- Part I Fundamentals of Industry 4.0 -- 1 Opting for Industry 4.0: Challenge or Opportunity -- 1.1 Introduction -- 1.1.1 Role of Technologies in Industry 4.0 Transformation -- 1.1.2 Key Technologies to Transform Production Industry -- 1.2 Challenges When One Wants to Switch to Industry 4.0 -- 1.2.1 Major Challenges -- 1.2.2 Some More Challenges -- 1.3 Benefits of Industry 4.0 -- 1.4 Applications -- 1.5 Societal Impact -- 1.5.1 Relation Between Profit and Purpose -- 1.5.2 Employee and Customer Advocacy Is Increased |
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1.6 Case Study: Challenges in Manufacturing Sector -- 1.7 Conclusion -- References -- 2 Exploring Human Computer Interaction in Industry 4.0 -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Research Questions -- 2.4 Research Solutions -- 2.5 Discussion and Recommendations -- 2.6 Conclusion and Future Work -- References -- 3 Embedding Affect Awareness in e-Learning: A Systematic Outline of the Literature -- 3.1 Introduction -- 3.2 Motivation -- 3.3 Research Strategy and Research Questions -- 3.4 Literature Review -- 3.5 Survey Outcome and Discussion -- 3.6 Conclusion -- References |
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4 Edge Computing: A Paradigm Shift for Delay-Sensitive AI Application -- 4.1 Introduction -- 4.2 Edge Computing Overview -- 4.2.1 The Origin of Edge Computing -- 4.2.1.1 Three Paradigms of Edge Computing: Cloudlets, Fog Computing, and Mobile Edge Computing -- 4.2.2 Criteria-Wise Difference Between Edge Computing and Cloud Computing -- 4.2.3 Layered Architecture of Edge Computing -- 4.2.3.1 Device Layer -- 4.2.3.2 The Edge Layer -- 4.2.3.3 The Cloud Layer -- 4.2.4 Software and Hardware Requirements to Implement Edge Computing (Table 4.2) -- 4.2.5 Characteristics of Edge Computing |
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4.2.5.1 Edge Computing Has Many Characteristics [9] as Cloud Computing -- 4.2.5.2 Close Proximity to the End Device -- 4.2.5.3 Support for Mobility Management -- 4.2.5.4 Location Awareness -- 4.2.5.5 Low Latency -- 4.2.5.6 Low Computation Power -- 4.2.6 Disadvantages of Edge Computing -- 4.2.7 Overview of Edge AI -- 4.2.8 Why Deep Learning with Edge Computing -- 4.2.9 Edge Intelligence-Enabled Applications of IoT -- 4.2.9.1 Smart Wearables -- 4.2.9.2 Smart City -- 4.2.9.3 Smart Home -- 4.2.9.4 Smart Building -- 4.2.9.5 Smart Grid -- 4.2.9.6 Smart Vehicle -- 4.2.9.7 Smart Multimedia |
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4.2.9.8 Video Analytics -- 4.2.9.9 Adaptive Video Streaming -- 4.2.9.10 Smart Transportation -- 4.2.9.11 Autonomous Driving -- 4.2.9.12 Traffic Analysis -- 4.2.9.13 Traffic Signal Control -- 4.2.10 Challenges in Edge-Enabled IoT Systems -- 4.2.10.1 Modal Training -- 4.2.10.2 Modal Deployment -- 4.2.10.3 Delay-Sensitive Applications -- 4.2.10.4 Hardware and Software Support -- 4.2.10.5 Integration and Heterogeneity -- 4.2.10.6 Naming -- 4.2.11 Research Opportunities in Edge AI and or Edge Computing -- 4.2.12 Conclusion -- References -- Part II Emerging Trends in Artificial Intelligence |
| Summary |
This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as Industry 4.0. The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML |
| Bibliography |
Includes bibliographical references and index |
| Notes |
5 CBT-Driven Chatbot with Seq-to-Seq Model for IndianLanguages |
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Description based on online resource; title from digital title page (viewed on September 21, 2023) |
| Subject |
Industry 4.0 -- Data processing
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Artificial intelligence -- Industrial applications
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Internet of things -- Industrial applications
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Big data -- Industrial applications
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Cloud computing -- Industrial applications
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Telecommunication.
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Artificial intelligence.
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telecommunications.
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artificial intelligence.
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Artificial intelligence -- Industrial applications
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| Form |
Electronic book
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| Author |
Neustein, Amy, editor.
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Mahalle, Parikshit N., editor.
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Joshi, Prachi, editor.
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Shinde, Gitanjali Rahul, 1983- editor.
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| ISBN |
9783031297137 |
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303129713X |
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