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商品描述
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.
商品描述(中文翻譯)
本書的目的是討論物聯網 (IoT) 和人工智慧 (AI) 在工業 4.0 自動化中的趨勢和關鍵驅動因素。IoT 和 AI 正在改變產業,從而加速效率並打造更可靠的自動化企業。針對工業 4.0 的 AI 驅動 IoT 系統,探索當前在 AI 前沿領域進行的研究,包括先進分析、工業物聯網 (IIoT) 解決方案與邊緣元件的整合、網路物理系統中的自動化、全球領先的工業 4.0 框架以及適應性供應鏈等。
本書深入探討工業 4.0,重點關注數位轉型和自動化的挑戰。內容涵蓋數位連接、感測器以及智能思維和數據科學的整合。強調 AI 的重要性,本章深入探討工業 4.0 中的最佳決策制定。廣泛檢視自動化和混合邊緣計算架構,突顯其應用。接著,敘述轉向 IIoT 和邊緣 AI,探索它們的融合以及在智慧工廠中使用邊緣 AI 進行視覺洞察的應用。最後,本書討論 AI 在構建數位雙胞胎、加速產品開發生命週期以及為智慧工廠的決策提供洞察方面的角色。整體而言,強調深度學習和 AI 在工業 4.0 背景下自動化和加速製造過程的變革性影響。
本書適合本科生、研究生、學術界人士、研究者以及工業和計算機工程領域的專業人士。
作者簡介
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).
作者簡介(中文翻譯)
Dr. Deepa Jose 擔任印度金奈 KCG College of Technology 贊助研究與諮詢系主任及電子與通訊工程教授,並且是 IEEE 高級會員及 IEEE 女性工程師委員會主席。她透過 IEEE WIE 進行了多項女性賦權的外展活動。她於 2015 年在安娜大學金奈的工程學院完成 VLSI 設計的博士學位。她是 IEI 和 IET 的終身會員,擁有超過 18 年的教學經驗。她獲得安娜大學的指導資格,培養了一名博士生,並目前指導八名博士生。她擁有印度專利,完成兩項 FER,並獲得一項國際專利授權。她在國內外的期刊和國際會議上發表了超過 60 篇研究論文。她是多個會議和期刊的技術委員會成員。她的研究興趣包括無線通信的 VLSI、深度學習、生物醫學信號處理、健康照護的物聯網、地理資訊系統倡議、軟計算和人工智慧。她獲得了 IET 金奈的最佳學術實踐者獎和 IEEE 專業成就獎。Deepa Jose 主辦了 3 場國際會議以及超過 30 場的 FDPs/工作坊/網路研討會,並獲得三項最佳論文獎。在英國舉行的第五屆國際生物技術與生物工程大會及博覽會和由 IEEE 印度委員會主辦的 IEEE INDISCON 2023 中,她獲得了兩項最佳研究論文獎。
Dr. Preethi Nanjundan 是印度馬哈拉施特拉邦普納 Christ University 數據科學系的副教授(SRG)。她於 2014 年在 Bharathiar University, Coimbatore 獲得博士學位。她於 2007 年在 Bharathiar University 獲得計算機科學的哲學碩士學位,並於 2004 年在 Bharathidasan University 獲得計算機應用的碩士學位。她擁有 18 年的研究和教學經驗。除了在國際同行評審期刊上發表超過 20 篇論文外,她還為多本書籍撰寫章節並出版了 5 本書。她的四項專利也已獲得授權。2020 年,她獲得 Lead India 和 Vision Digital India 的最佳教授獎。她對名為《Covid 19 and its Impact》的書籍的貢獻已被納入印度和亞洲紀錄。她的研究領域包括機器學習、自然語言處理和神經網絡。她是多個專業學會的終身會員,包括印度計算機學會(CSI)、國際計算機科學與資訊技術協會(IACSIT)、計算機科學教師協會和印度技術教育學會(ISTE)。
Dr. Sanchita Paul 目前在印度賈坎德邦 Ranchi 的 BIT Mesra 擔任副教授。她於 2012 年 1 月在 BIT Mesra 獲得博士學位,並於 2006 年在 BIT Mesra 獲得碩士學位,2004 年在西孟加拉邦的 Burdwan University 獲得工程學士學位。她的研究領域包括人工智慧、雲計算、物聯網、機器學習和深度學習。她指導過五名博士生,並在國際知名的期刊上發表了 60 篇論文。她在健康資訊學、物聯網和雲計算領域擁有六項專利。她曾擔任多個國際期刊和會議的會議主席及編輯成員。她在德國 Scholar's Press 出版了一本關於雲計算的書籍及五個書章。她已完成兩個項目,並有一個 ISRO 資助的項目正在進行中。她是 CSI 的終身會員,並在 BIT Mesra 設立雲計算實驗室擔任主要研究員。
Dr. Sachi Nandan Mohanty 於 2019 年在 IIT Kanpur 獲得博士後學位,並於 2015 年在 IIT Kharagpur 獲得博士學位。