1st Edition
Industrial Transformation Implementation and Essential Components and Processes of Digital Systems
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).
Biography
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, Bhubaneswar, Odisha, India. He is a member of MIR Labs (USA), KES (Australia), IAENG ( Hong Kong), ACEEE(I), IETE(I), CSI(I), ISTE(I). He has published about 70 papers in International and national journals and conferences. He has also published 7 book chapters to his credit. He has 2 text books and 3 edited books to his credit. He is a program committee member of various international conferences. He is acting as a reviewer of various international journals and conferences of repute. He is an Associate Editor of IJCINI Journal, IGI Global, USA and an Editorial board member of IJKESDP Journal of Inderscience, UK. He is also a Special issue Editor of International Journal of Computational Intelligence Studies (IJCIStudies), Inderscience, UK. His active area of research includes Data Mining, Image processing, Intrusion detection and prevention. Social networking, Mobile Communication, wireless sensor networks, Natural language processing, Internet of Things, Text Mining etc.
Zdzislaw Polkowski is Professor of UJW at Faculty of Technical Sciences and Rector's Representative for International Cooperation and Erasmus+ Program at the Jan Wyzykowski University Polkowice. Since 2019 he is in also Adjunct Professor Department of Business Intelligence in Management, Wroclaw University of Economics and Business, Poland. Moreover, he is visiting professor in University of Pitesti, Romania and adjunct professor in Marwdi University India. He is the former dean of the Technical Sciences Faculty during the period 2009 -2012 at UZZM in Lubin. He holds a PhD degree in Computer Science and Management from Wroclaw University of Technology, Post Graduate degree in Microcomputer Systems in Management from University of Economics in Wroclaw and Post Graduate degree IT in Education from Economics University in Katowice. He obtained his Engineering degree in Computer Systems in Industry from Technical University of Zielona Gora. He has published more than 75 papers in journals, 25 conference proceedings, including more than 20 papers in journals indexed in the Web of Science, Scopus, and IEEE. He served as a member of Technical Program Committee in many International conferences in Poland, India, China, Iran, Romania and Bulgaria. Till date he has delivered 24 invited talks at different international conferences across various countries. He is also the member of the Board of Studies and expert member of the doctoral research committee in many universities in India. He is also the member of the editorial board of several journals and served as a reviewer in a wide range of international journals. His area of interests includes IT in Business, IoT in Business and Education Technology. He has successfully completed a research project on developing the innovative methodology of teaching Business Informatics funded by the European Commission. He also owns an IT SME consultancy company in Polkowice and Lubin, Poland.
S.Balamurugan, ACM Distinguished Speaker, received his B.Tech., Degree from P.S.G.College of Technology, Coimbatore, India, M.Tech., and PhD Degrees from Anna University, India. He has published 57 books, 300+ international journals/conferences and 79 patentsHe is the recipient of Rashtriya Vidhya Gourav Gold Medal Award and The Best Educationalist Award from Hon.Justice O.P Saxena, Supreme Court, New Delhi and the Former Chairman of Minority Council, New Delhi, India. He is the recipient of two Lifetime Achievement Awards. He is the recipient of Dr.A.P.J.Abdul Kalam Sadhbhavana Award form Hon.Balmiki Prasad Singh, Former Governor of Sikkim, Jewel of India Award from Mr Gurpreet Singh, General Secretary, India, Star of Asia Award from Mr.Korn Debbaransi, Former Dy. Prime Minister, Thailand, in an International Summit at (Bangkok) Thailand & Pride of Asia Research Excellence Award from Hon.Anant. V.Sheth, Deputy Speaker- Goa Legislative Assembly, Best Director Award. He received the "Active Member CSI National Award". He was awarded the Prestigious Mahatma Gandhi Leadership Award at House of Commons, British Parliament, London, UK. The book he authored on "Machine Learning and Deep Learning Algorithms using MATLAB and PYTHON" won "Best MATLAB Book For Beginners" Award by BookAuthority. Dr.S.Balamurugan won the CSI Young IT Professional Award. He is the winner of the "National CSI Youth Award 2020", by Computer Society of India. He is also the recipient of the Best Researcher Award, Certificate of Exceptionalism, Young Scientist Award, Best Young Researcher Award and Outstanding Scientist Award. His biography is listed in "Marquis WHO'S WHO", New Jersey, USA. His professional activities include roles as Editor-in-Chief/Associate Editor/ Editorial Board Member for more than 500+ International Journals/Conferences of high repute and impact. He has been invited as Chief Guest/Resource Person/Keynote Plenary Speaker in many reputed Universities and Colleges at National and International Levels. His research interests include Artificial Intelligence, Augmented Reality, Internet of Things, Big Data Analytics, Cloud Computing, and Wearable Computing. He is a life member of ACM, IEEE, ISTE and CSI.
