Full Description
This book offers an in-depth look at Industry 4.0's applications and provides a conceptual framework for design principles and easy implementation. The book touches on the impact of Industry 4.0 and also examines the key technological advances and potential economic and technical benefits through case studies featuring real-world implementations.
Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications discusses the impact of Industry 4.0 and workforce transformation. The book examines the key technological advances that support Industry 4.0 and examines their potential economic and technical benefits through case studies. It covers the connection Industrial 4.0 has with IT and communication technologies and demonstrates the technological advancements and how to use their benefits towards and through examples of real-world applications.
This book offers a conceptual framework and road map for those making decisions as they go through the next stage of transformation. This book mainly targets academicians, professionals, business professionals, start-up companies, and researchers at undergraduate, postgraduate, and doctoral levels.
Contents
1. The Fourth Industrial Revolution: An Overview of Technologies and Socio-Economic Implications, 2. An Insight into the Consensus Protocols and Data Security in IoT Applications Using Blockchain, 3. Technological Advances in Smart Monitoring Imaging Systems Based on Machine Learning, 4. IoT-Based Seaweed Cultivation for a Sustainable Economy, 5. Security Analysis and Planning for Enterprise Networks: Incorporating Modern Security Design Principles, 6. A Comparative Study of Structureless Data Aggregation Protocols in Wireless Sensor Networks (WSNs), 7. HR Analytics: A Model of Modern Human Resource Practices, 8. Technology and Design Advancements: Implementation of Cloud Computing Using a Service-Oriented Architecture (SOA) Model, 9. Redefining Traditional Education Using Augmented Reality and Virtual Reality, 10. AI-Based Automatic Detection of IP Network Performance in Telecommunication, 11. AI-Based Movie Recommendation System, 12. Criminal Investigation Using Deep Learning and Image Processing, 13. Machine Learning Validation for Project Success Multivariate Modeling, 14. Deep Learning Method for Anomaly Detection in Cyber Physical Systems (CPS) and Social Networks, 15. Industry 4.0: Intelligent Routing and Scheduling Algorithm for EV Charging Based on EV Battery Management System, 16. Design of Eco-Friendly Batteries Using PCM, 17. Synthesizing User Comments to Prospective Viral Interests on New Media Using Sentiment Analysis for Effective Data Visualization Premeditated for Journalism 4.0, 18. A Data-Driven Model-Based Application to Interpret Anomalies Utilizing Mutual Information in Satellite Data, 19. A Review of Reinforcement Learning Approaches for Autonomous Systems in Industry 4.0
