1st Edition
AI-Driven IoT Systems for Industry 4.0
The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.
A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.
This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.
Chapter 1 A Novel Hybrid Approach Based on Attribute-Based Encryption for Secured Message Transmittal for Sustainably Smart Networks
Sucheta Panda, Sushree Bibhuprada B. Priyadarshini, Biswa Mohan Acharya, Tripti Swarnkar, and Sachi Nandan Mohanty
Chapter 2 Object Detection Using Deep Learning (DL) and OpenCV Approach
Ajit Kumar Mahapatra, Sushree Bibhuprada B. Priyadarshini, Lokesh Kumar Nahata, Smita Rath, Nikhil Singh, Shatabdi Chakraborty, Jyotirmayee Pradhan, Sachi Nandan Mohanty, and Prabhat Sahu
Chapter 3 Enhancing Industrial Operations through AI-Driven Decision-Making in the Era of Industry 4.0
Prakruthi R Rai, Preethi Nanjundan, and Jossy Paul George
Chapter 4 Acne Detection Using Convolutional Neural Networks and Image-Processing Technique
Premanand Ghadekar, Aniket Joshi, Atharv Vanjari, Mohammed Raza, Shubhankar Gupta, and Anagha Gajaralwar
Chapter 5 Key Driving Technologies for Industry 4.0
Anesh D Sundar ArchVictor and C. Emilin Shyni
Chapter 6 Opportunities and Challenges of Digital Connectivity for Industrial Internet of Things
Mahesh Visveshwarappa
Chapter 7 Malicious QR Code Detection and Prevention
Premanand Ghadekar, Faijan Momin, Tushar Nagre, Sanika Desai, Prathamesh Patil, and Vinay Aher
Chapter 8 Integration of Advanced Technologies for Industry 4.0
Tanmay Paliwal, Aditya Sikdar, and Zidan Kachhi
Chapter 9 Challenges in Digital Transformation and Automation for Industry 4.0
Manjari Sharma, Tanmay Paliwal, and Payashwini Baniwal
Chapter 10 Design and Analysis of Embedded Sensors for IIoT: A Systematic Review
Kogila Raghu and Macharla Mounika
Chapter 11 AI for Optimal Decision-Making in Industry 4.0
Ravichandran Bargavi
Chapter 12 Challenges in Lunar Crater Detection for TMC-2 Obtained DEM Image Using Ensemble Learning Techniques
Sanchita Paul, Chinmayee Chaini, and Sachi Nandan Mohanty
Chapter 13 A Framework of Intelligent Manufacturing Process by Integrating Various Function
T. Rajasanthosh Kumar, Laxmaiah G., and S. Solomon Raj
Chapter 14 Adaptive Supply Chain Integration in Smart Factories
Deepak Mathivathanan and Sivakumar Kirubanandan
Chapter 15 Implementation of Intelligent CPS for Integrating the Industry and Manufacturing Process
T. Rajasanthosh Kumar, Mahesh. M. Kawade, Gaurav Kumar Bharti, and Laxmaiah G.
Chapter 16 Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors
Shruti Gedam and Sanchita Paul
Chapter 17 Rising of Dark Factories due to Artificial Intelligence
Anjali Mathur
Chapter 18 Deep Learning for Real-Time Data Analysis from Sensors
Sagar C V, Harshit Bhardwaj, and Anupama Bhan
Chapter 19 Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
Adri Jovin John Joseph, Marikkannan Mariappan, and Marikkannu P.
Chapter 20 Energy Management in Industry 4.0 Using AI
Jeevitha D, Deepa Jose, Sachi Nandan Mohanty, and A. Latha
Chapter 21 Deployment of IoT with AI for Automation
Abith Kizhakkemuri Sunil, Preethi Nanjundan, and Jossy Paul George
Chapter 22 A Comparison of the Performance of Different Machine Learning Algorithms for Detecting Face Masks
Andra Likhith Sai, Gona Jordan Ryan, Namoju Prudhvi Sai, and Neeraj Kumar Misra
Biography
Dr. Deepa Jose works as Head of Department of Sponsored Research and Consultancy and Professor of ECE at KCG College of Technology, Chennai, India, and is an IEEE Senior Member and IEEE Women in Engineering Chair. She has done various outreach activities for women empowerment through IEEE WIE. She has completed Ph.D. in VLSI Design from College of Engineering Guindy, Anna University Chennai in the year 2015. She is a life time member of IEI and IET. She has more than 18 years of teaching experience. She has Guideship from Anna University and produced one Ph.D. student and currently guiding eight Ph.D. students. She has Indian Patent Granted, two FER completed and one International Patent Grant. She has published more than 60 research papers in Journals, International Conferences in India and abroad. She is a member of Technical Committees of conferences and journals. Her areas of research interest include VLSI for wireless communication, deep learning, biomedical signal processing, IoT for healthcare, GIS initiatives, soft computing, and AI. She is recipient of Best Academic Practitioner Award from IET Chennai and IEEE Award for Professional Achievement. Deepa Jose has conducted 3 International Conferences and more than 30 Fdps/workshops/webinars. She has won three Best Paper awards. She has won two Best Research Paper Awards in the Fifth International Congress and Expo on Biotechnology and Bioengineering held in the United Kingdom and at IEEE INDISCON 2023 conducted by IEEE India Council.
Dr. Preethi Nanjundan is an Associate Professor (SRG) in the Department of Data Science at Christ University, Pune, Lavasa campus, Maharashtra, India. She received her Doctorate degree from Bharathiar University, Coimbatore, in 2014. She received her Master of Philosophy in computer science from Bharathiar University in 2007 and earned Master’s degree in Computer Applications from Bharathidasan University in 2004. Her research and teaching experience spans 18 years. Besides publishing over 20 papers in international refereed journals, she has contributed chapters to various books and published 5 books. Four of her patents have also been granted. In 2020, she received the Best Professor award from Lead India and Vision Digital India. Her contributions to a book titled “Covid 19 and its Impact” have been inducted into the Indian and Asian books of records. Her research area includes machine learning, natural language processing, and neural network. She is a lifetime member of professional societies, including Computer Society of India (CSI), International Association of Computer Science and Information Technology (IACSIT), Computer Science Teachers Association, and Indian Society for Technical Education (ISTE).
Dr. Sanchita Paul is presently working as Associate Professor in BIT Mesra, Ranchi, Jharkhand. She received her Ph.D. Degree from BIT Mesra, Ranchi, Jharkhand, in the year January 2012. She received her M. Tech Degree from BIT Mesra, Ranchi, Jharkhand, in the year 2006 and BE Degree from Burdwan University, West Bengal, in the year of 2004. Her research areas include artificial intelligence, cloud computing, Internet of Things, machine learning and deep learning. She has guided five Ph.D. Scholars. She has published 60 International Journals of International repute. She also has six patents in area of health informatics, IoT and Cloud Computing. She has acted as session chair and editorial member of many international journals and conferences. She has published one book on cloud computing in Scholar’s Press, Germany and five book chapters. She has completed two projects and one ISRO-funded project is ongoing. She is life member of CSI. She is principal investigator in setting of cloud computing lab at BIT Mesra, Ranchi.
Dr. Sachi Nandan Mohanty received his PostDoc from IIT Kanpur in the year 2019 and Ph.D. from IIT Kharagpur, India, in the year 2015, with MHRD scholarship from Govt of India. He has authored/edited 28 books, published by IEEE-Wiley, Springer, Wiley, CRC Press, NOVA, and DeGruyter. His research areas include data mining, big data analysis, cognitive science, fuzzy decision making, brain-computer interface, cognition, and computational intelligence. Prof. S N Mohanty has received four Best Paper Awards during his Ph.D. at IIT Kharagpur from International Conference at Beijing, China, and the other at International Conference on Soft Computing Applications organized by IIT Roorkee in the year 2013. He has awarded best thesis award first prize by Computer Society of India in the year 2015. He has guided nine Ph.D. scholars. He has published 120 International Journals of International repute and has been elected as FELLOW of Institute of Engineers, European Alliance Innovation (EAI), and Senior member of IEEE Computer Society Hyderabad chapter. He is also the reviewer of Journal of Robotics and Autonomous Systems (Elsevier), Computational and Structural Biotechnology Journal (Elsevier), Artificial Intelligence Review (Springer), Spatial Information Research (Springer).
