Industrial Transformation Implementation and Essential Components and Processes of Digital Systems Advances in IoT, Robotics, and Cyber Physical Systems for Industrial Transformation Series

This book focuses on industrial development, design, implementation, and transformation using technologies such as Artificial Intelligence, Machine Learning, the Internet of Things (IoT), Big Data Analysis, and Blockchain. It incorporates complex processes, functions, and various other elements as one central component of digital systems.

Industrial Transformation: Implementation and Essential Components and Processes of Digital Systems discusses the industry transformation aligned with the computerization of manufacturing and the required skills needed to build a new workforce. This book covers the role that AI plays in the management of resource flow and decision-making in the transformation of operations, as well as supply chain management. It presents sustainability and efficiency with IoT, Machine Learning, Data Analysis, and Blockchain technologies as it focuses on industrial development, design, and implementation. This book showcases the incorporation of complex processes and functions as one central component of digital systems and explores current trends that are working to accelerate industrial transformation. Case studies are also included, depicting the technologies that are influencing the transition into the fourth Industrial Revolution, such as industrial infrastructure, biodiversity, and enhanced productivity.

This book is aimed at researchers, scholars, and students that require real-time knowledge and applications where the transformation and implementation of digital systems in the manufacturing sector are needed.

1. Computational Intelligence for Automation of Industrial Processes.

2. Machine Learning Applications for Additive Manufacturing: State-of-the-Art and Future Perspectives.

3. Implementation of Total Productive Maintenance (TPM) in the Manufacturing Industry for Improving Production
Effectiveness.

4. Application of AI in Smart Cities.

5. Effect of Sustainable Energy Sources for Load Frequency Control (LFC) of Single-Area Wind Power Systems.

6. AI Technology in Networks-on-Chip.

7. Modeling, Analysis, and Simulation of Hydrogen Leakage Jet in the Air.

8. Multi-Objective Interval Assignment Problems and their Solutions using Genetic Algorithms

9. Evolutionary Approaches in Engineering Applications.

10. Quality Prediction in Vertical Centrifugal Casting Using Criterion Function.

11. On Type D Fuzzy Cellular Automata-Based MapReduce Model in Industry 4.0.

12. Fine-Grained Feature Classification of Objects by Learning-Based Feature Selection Using Region-Proposal Convolutional Neural Networks.

13. An Embedded Implementation of a Traffic Light Detection System for Advanced Driver Assistance Systems.

14. CO2 Emissions, Financial Development, and Renewable Energy Consumption (REC): A Metadata Analysis.

15. A Machine Learning Approach for Translating Weather Information into Actionable Advisory for Farmers.

16. Modeling of Fast Charging Electric Vehicles Using Different Controllers.

17. Joining of AA7075/SiC Composite Using Friction Stir Welding (FSW).

18. Generation Scheduling of Solar-Wind-Hydro-Thermal Power System with Pumped Hydro Energy Storage
using Squirrel Search Algorithm (SSA).

Om Prakash Jena is currently working as an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. He has 10 years of teaching and research experience in under graduate and post graduate level. He has published several technical papers in international journals/conferences/edited book chapters of reputed publications. He is a member of IEEE, IETA, IAAC, IRED, IAENG and WACAMLDS. His current research interest includes Database, Pattern Recognition, Cryptography, Network Security, Artificial Intelligence, Machine Learning, Soft Computing, Natural Language Processing, Data Science, Compiler Design, Data Analytics and Machine Automation. He has many edited book, published by Wiley, CRC press, Bentham Publication in to his credit and also author of two text book under Kalyani Publisher. He also serve as reviewer committee member and editor of many international journals.

Sudhansu Shekhar Patra is currently working as an Associate Professor in the School of Computer Applications, KIIT Deemed to beUniversity, Bhubaneswar, India. He received his Master degree in Computer Application from Motilal Nehru National Institute of Technology, Allahabad, India, M.Tech (Computer Science & Engg) from Utkal University, Bhubaneswar, India and Ph.D. in Computer Science from KIIT University, Bhubaneswar, India. His research interests include grid computing, Cloud Computing, Algorithms, Blockchain etc. He is a life member of Indian Society for Technical Education.

Mrutyunjaya Panda holds a Ph.D degree in Computer Science from Berhampur University. He obtained his Master in Engineering from Sambalpur University, MBA in HRM from IGNOU, New Delhi, and Bachelor in Engineering from Utkal University in 2002, 2009, 1997 respectively. He is having more than 20 years of teaching and research experience. He is presently working as Reader in P.G. Department of Computer Science and Applications, Utkal University,