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Home > Science, Technology & Agriculture > Electronics and communications engineering > Communications engineering / telecommunications > The Nine Pillars of Technologies for Industry 4.0: (Telecommunications)
The Nine Pillars of Technologies for Industry 4.0: (Telecommunications)

The Nine Pillars of Technologies for Industry 4.0: (Telecommunications)


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About the Book

Industry 4.0 refers to automation and data exchange in manufacturing technologies. From innovative research, challenges, solutions and strategies to real-world case studies, the aim of this edited book is to focus on the nine pillars of technology that are supporting the transition to Industry 4.0 and smart manufacturing. The nine pillars include the internet of things, cloud computing, autonomous and robotics systems, big data analytics, augmented reality, cyber security, simulation, system integration, and additive manufacturing. A key role is played by the industrial IoTs and state-of-the-art technologies such as fog and edge computing, advanced data analytics, innovative data exchange models, artificial intelligence, machine learning, mobile and network technologies, robotics and sensors. This book is a useful resource for an audience of academic and industry researchers and engineers, as well as advanced students in the fields of information and communication technologies, robotics and automation, big data analytics and data mining, machine learning, artificial intelligence, AR/VR/ER, cybersecurity, cyber physical systems, sensing and robotics with a focus on Industry 4.0, and smart manufacturing.

Table of Contents:
Chapter 1: The Nine Pillars of technology for Industry 4.0 Chapter 2: Industry 4.0: the next frontier and its technological impacts, the role of global standardisation and sustainable development Chapter 3: Industrial revolution 4.0 - big data and big data analytics for smart manufacturing Chapter 4: Virtual and augmented reality in Industry 4.0 Chapter 5: Cyber security: trends and challenges toward Industry 4.0 Chapter 6: The role of IIoT In smart Industries 4.0 Chapter 7: Simulation in the 4th Industrial Revolution Chapter 8: The role of artificial intelligence in development of smart cities Chapter 9: How industrial robots form smart factories Chapter 10: Integration revolution: building trust with technology Chapter 11: System integration for Industry 4.0 Chapter 12: Additive manufacturing toward Industry 4.0 Chapter 13: Cloud computing in Industrial Revolution 4.0 Chapter 14: Cybersecurity in Industry 4.0 context: background, issues, and future directions Chapter 15: IoT-based data acquisition monitoring system for solar photovoltaic panel Chapter 16: Internet of Things (IoT) application for the development of building intelligent energy management system Chapter 17: Expert fault diagnosis system for building air conditioning mechanical ventilation Chapter 18: Lean green integration in manufacturing Industry 4.0 Chapter 19: Lean government in improving public sector performance toward Industry 4.0 Chapter 20: Lean dominancy in service Industry 4.0 Chapter 21: Case study: security system for solar panel theft based on system integration of GPS tracking and face recognition using deep learning Chapter 22: Project Dragonfly Chapter 23: Improving round-robin through load adjusted-load informed algorithm in parallel database server application Chapter 24: 5G network review and challenges Chapter 25: Industry 4.0 and SMEs

About the Author :
Wai Yie Leong is the Chairperson of The Institution of Engineering and Technology (Malaysia Local Network) and Vice President of The Institution of Engineers, Malaysia (IEM). She specializes in sensing and wireless communications and medical signal processing research including wireless sensor networks, wireless communications, and brain signal processing for signal conditioning and classification in various EEG-based mental tasks. She received the Women Engineer of the Year award in 2018, the IEM Presidential of Excellence Award in 2016, and ASEAN Meritorious Award in Science and Technology 2017. She holds a Ph.D. in Electrical Engineering from The University of Queensland, Australia. Joon Huang Chuah lectures at the Department of Electrical Engineering, University of Malaya, Malaysia and is the Head of VLSI and Image Processing (VIP) Research Group. He specialises in artificial intelligence, image processing and integrated circuit design. He is the Principal Journal Editor of the Institution of Engineers, Malaysia. He received his B.Eng. from the Universiti Teknologi Malaysia, M.Eng. from the National University of Singapore, MPhil in Technology Policy from the Cambridge Judge Business School, and PhD from the University of Cambridge. Boon Tuan Tee is an Associate Professor at the Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Malaysia. His research focuses on energy management system and green technology. He is a Professional Technologist (Green Technology) registered under Malaysia Board of Technologists. His other professional certifications include Certified Energy Manager under ASEAN Energy Management System (AEMAS) and Certified Professional in Measurement & Verification from Malaysia Greentech. He has been a member of the IET since 2015. He holds a Ph.D. degree in Engineering from University of Cambridge, UK.


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Product Details
  • ISBN-13: 9781839530050
  • Publisher: Institution of Engineering and Technology
  • Publisher Imprint: Institution of Engineering and Technology
  • Height: 234 mm
  • Series Title: Telecommunications
  • ISBN-10: 1839530057
  • Publisher Date: 03 Feb 2021
  • Binding: Hardback
  • Language: English
  • Width: 156 mm


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