Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications

About the Editors
List of Contributors
Preface
Acknowledgments
1. The Fourth Industrial Revolution: An Overview of Technologies and Socio-Economic Implications
Faisal Kalota, David Hua, and Afsaneh Behforouz

2. An Insight into the Consensus Protocols and Data Security in IoT Applications Using Blockchain
Priya Thomas and Deepa V Jose

3. Technological Advances in Smart Monitoring Imaging Systems Based on Machine Learning
Abdulla Desmal

4. IoT-Based Seaweed Cultivation for a Sustainable Economy
Jeevanantham Lenin and Charles Savarimuthu

5. Security Analysis and Planning for Enterprise Networks: Incorporating Modern Security Design Principles
Osama Hosam, Rasha Abousamra, Mohammed Hassouna, and Rula Azzawi

6. A Comparative Study of Structureless Data Aggregation Protocols in Wireless Sensor Networks (WSNs)
Faizal N Vasaya, J Sandeep, and Libin Thomas

7. HR Analytics: A Model of Modern Human Resource Practices
Amit Kumar Srivastava, Shailja Dixit, and Akansha Abhi Srivastava

8. Technology and Design Advancements: Implementation of Cloud Computing Using a Service-Oriented Architecture (SOA) Model
Shaikha Alqassemi and Zakea Ilagure

9. Redefining Traditional Education Using Augmented Reality and Virtual Reality
Kavitha Rajamohan, Manu K S, Anju Kalluvelil Janardhanan, and Sangeetha Rangasamy

10. AI-Based Automatic Detection of IP Network Performance in Telecommunication
Shamoona Imtiaz, Oliver Popov, and Jaume Rius i Riu

11. AI-Based Movie Recommendation System
Dilip Kumar Gayen

12. Criminal Investigation Using Deep Learning and Image Processing
Ossama Embarak, Maryam Almesmari, Fatima Aldarmaki, and Maryam Alameeri

13. Machine Learning Validation for Project Success Multivariate Modeling
Rasha Abousamra, Dan Ivanov, and Osama Hossameldeen

14. Deep Learning Method for Anomaly Detection in Cyber Physical Systems (CPS) and Social Networks
Reeja S R, Yaseen Ishfaq, and Tamanna Jena Singhdeo

15. Industry 4.0: Intelligent Routing and Scheduling Algorithm for EV Charging Based on EV Battery Management System
Ashwin Kumar V

16. Design of Eco-Friendly Batteries Using PCM
Lina Momani, Chanyalew Belachew, Ahmed Abdulla Qasem, Hamad Hareb, Jasim Yousif, Ali Ahmed, and Abdullah Ali

17. Synthesizing User Comments to Prospective Viral Interests on New Media Using Sentiment Analysis for Effective Data Visualization Premeditated for Journalism 4.0
Monikka Reshmi Sethurajan and Natarajan K

18. A Data-Driven Model-Based Application to Interpret Anomalies Utilizing Mutual Information in Satellite Data
Zakea Il Agure, Shaikha Al Qassemi, and Hicham Itani

19. A Review of Reinforcement Learning Approaches for Autonomous Systems in Industry 4.0
BH Krishna Mohan, Pulicherla Padmaja, M Durairaj, P Nagamalleswrarao, K Srinivasarao, and Sagaya Aurelia

Index

Biography

Dr. Sagaya Aurelia has over a 20-year career in the teaching profession and has worked with leading engineering colleges, and universities in India, and overseas and currently is working at CHRIST University in Bangalore. She has completed her diploma and bachelor's degree in electronics and communication, Masters’s in information technology, and Doctorate in Computer Science and Engineering. She has completed a Post Graduate Diploma in Business Administration and a diploma in E-commerce Application Development as well. Dr. Aurelia has published more than 20 papers in international journals and conferences and 12 in national conferences. She is a member of the International Economics Development Research Centre and the International Association of Computer Science and Information Technology. Dr. Aurelia is also an Editorial Board Member of the International Organization of Scientific Research and Development Journals and AR Research Publication and Conference World. She has been awarded the Peace Leader and Peace Educator award, from the global mission of the United Nations Global Compact. She has participated in more than 50 seminars and 100 national and international webinars.

Dr. Ossama Embarak, a university professor, holds a Ph.D. in Computing with a focus on AI, ML, and data mining from Heriot-Watt University, Edinburgh, UK, conferred in 2012. With over 17 years of extensive experience, he has excelled in teaching, research, project supervision, and fostering industry partnerships. His contributions to the academic realm include numerous publications across journals, conferences, and books, primarily centered on computing and data analytics. Notably, he secured several research grants, a 200k grant to develop a student radar system aimed at detecting fragmentation of knowledge and skills among students, offering valuable recommendations. His adeptness in the field is evident through the acquisition of three SURF grants, applying of ML and AI systems to diverse research domains. Notably, his endeavors encompass measuring the impact of online hybrid teaching on learners’ performance. Dr. Embarak's supervision extends to over 200 industry collaboration projects, some selected for startups, receiving external funding from entities such as the Ministry of Interior, Environment, Tourism, and the Government Chamber of Commerce. His commitment to knowledge dissemination is evident through his delivery of various workshops and seminars on AI, machine learning, privacy, mobile applications, 3D printing, data science, and programming languages like Python and R.