Industry 4.0 interoperability, analytics, security, and case studies
"This book provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as Cyber Physical Systems (CPS), Internet of Things (IoT), Cloud Computing, Machine Learning, Virtualization, Decentral...
Otros Autores: | , , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Boca Raton, FL ; London ; New York :
CRC Press, Taylor & Francis Group
2021.
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Edición: | First edition |
Colección: | Big data for Industry 4.0
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Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009645701506719 |
Sumario: | "This book provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as Cyber Physical Systems (CPS), Internet of Things (IoT), Cloud Computing, Machine Learning, Virtualization, Decentralization, Blockchain, Fog Computing, and many other related areas. Also discussed is interoperability, design, and implementation challenges. Researchers, academicians, and those working in industry around the globe will find this book of interest"-- |
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Notas: | <P>1. Big Data Analytics and Machine Learning for Industry 4.0: An Overview</P><I><P>[Nguyen Tuan Thanh and Manh Linh]</P></I><P>2. Impact of Blockchain-Based Cyber Security Implementing Industry 4.0</P><I><P>[Puja Das, K. Martin Sagayam, AsikRahaman Jamader, and Hung Nguyen]</P></I><P>3. Hybrid Huffman Tree Model for Securing Medical Data Using Steganography</P><I><P>[A. Saranya, Mohak Narang, R. Anandan, S. Aruna, and Balaganesh]</P></I><P>4. Energy Conservation in IOT-Based Intelligent Transport System</P><I><P>[A. Sivasangari, D. Deepa, Chiung Ching Peter Ho, M.S. Roobini, and R. Vignesh]</P></I><P>5. Digital Information System for Attack Reduction in Industry 4.0</P><I><P>[Srinivasan Selvaraj, Raja Kothandaraman, Kannan Kaliyan, and Pratheepan Thuraiyappah]</P></I><P>6. An Intelligent Blockchain-Based Framework for Securing Smart Grid</P><I><P>[G. Jaspher W. Kathrine, Bahman Javadi, J. Dinesh Peter, and G. Matthew Palmer]</P></I><P>7. Intelligent Fog Computing for Industrial Wireless Sensor Networks</P><I><P>[S. Karthikeyan, K. Vimala Devi, and K. Valarmathi]</P></I><P>8. A Secure Data Sharing Scheme Based on Blockchain for Industrial Internet of Things Using Consensus Algorithm</P><I><P>[M. Yuvaraju and P.M. Benson Mansingh]</P></I><P>9. Smart Trust Management Scheme for Detecting Attacks in IoT and Ubiquitous Computing</P><I><P>[A. Sivasangari, R.M. Gomathi, A. Jesudoss, L. Lakshmanan, K. Indira, and T. Samraj Lawrence]</P></I><P>10. IoT-Based Smart Pipeline Leakage Detecting System for Petroleum Industries</P><I><P>[A. Devi, M. Julie Therese, P. Dharani Devi, and T. Ananth Kumar]</P></I><P>11. IOT-Based Smart Irrigation Systems</P><I><P>[M.R. Ebenezar Jebarani, P. Kavipriya, S. Lakshmi, and Nehru Kandasamy]</P></I><P>12. Safety Wing for Industry (SWI 2020) An Advanced Unmanned Aerial Vehicle Design for Safety and Security Facility Management in Industries</P><I><P>[T. Ananth Kumar, S. Arunmozhi Selvi, R.S. Rajesh, and G. Glorindal]</P></I><P>13. An Efficient Decentralized Medical Prescription Tracking Using Blockchain</P><I><P>[D.R. Anita Sofia Liz, M. Stefi Vinciya, H. Saagarika, and A. Kapil Ramachandran]</P></I><P>14. Blockchain for Industry 4.0: An Assessment of Blockchain Adoptability</P><I><P>[Rajakumar Arul, Raja Kothandaraman, Kannan Kaliyan, and Nizar Banu P.K.]</P></I><P>15. An Effective E-Learning Mechanism to Meet the Learning Demand of Industry 4.0</P><I><P>[A. Jaya, P. Sheik Abdul Khader, A. Abdul Azeez Khan, K. Javubar Sathick, L. Arun Raj, and Ho Chiung Ching]</P></I> |
Descripción Física: | 1 online resource (263 pages) |
ISBN: | 9781003048855 9781000337945 9781000338041 |