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E-book

Title Internet of things for Industry 4.0 : design, challenges and solutions / G.R. Kanagachidambaresan, R. Anand, E. Balasubramanian, V. Mahima, editors
Published Cham : Springer, 2020

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Description 1 online resource (266 pages)
Series EAI/Springer Innovations in Communication and Computing
EAI/Springer innovations in communication and computing.
Contents Intro -- Preface -- Acknowledgment -- Contents -- About the Editors -- Chapter 1: A Survey on RFID in Industry 4.0 -- Introduction -- History of RFID in Industry 4.0 -- RFID in History -- RFID Technology -- RFID and Big Data -- RFID in Internet of Things -- About RFID with IoT -- RFID-Based IoT in Industry 4.0 -- Supply Chain Management -- Smart Factory -- RFID in Communication and Networking for Industry 4.0 -- Conclusions -- Roles of RFID Technology in Retail -- Roles of RFID Technology in Logistics -- Roles of RFID Technology in Manufacturing -- References
Chapter 2: Data Fusion-Based AI Algorithms in the Context of IIoTS -- Industrial Internet of Things: Overview in the Context of Industry 4.0 and Massive Data Exploitation -- IIoT Systems Based on Modular Architecture for Industry 4.0 -- Cybersecurity Aspects Correlated with the Software and Hardware Layers -- Attacks on the Perception Layer -- Attacks on the Communication Layer -- Attacks on the Processing Layer -- Attacks on the Application Layer -- Big Data Fusion in the Context of IIoT Systems Based on Smart Sensors -- IIoTS Communication Protocols and Cloud Computing Services
Data Fusion Based on Advanced AI Algorithms -- Conclusions -- References -- Chapter 3: Presents the Technology, Protocols, and New Innovations in Industrial Internet of Things (IIoT) -- Innovation and Application -- Technology and Protocol -- WLAN -- WPAN -- 5G -- 1G/2G/3G/4G -- 900/1800 MHz GSM Mobile Communication -- 800 MHz CDMA Mobile Communication -- NB-IoT -- XMPP -- AMQP -- MQTT -- Modbus -- DDS -- OPC-UA -- CoAP -- Zigbee -- ISA100.11a -- WirelessHART -- Standards -- Fieldbus -- AMPS -- WLAN -- IEEE 802.15.4 -- WPAN -- Conclusion -- References
Chapter 4: Decision Making Models Through AI for Internet of Things -- Why Do Birds Fly, Bees Swarm, and Fish School? -- Neural Networks -- Artificial Life -- Soft Alife -- Hard Alife -- Wet Alife -- Cellular Automata -- Learning Classifier Systems -- Classifier -- Performance Component -- Reinforcement Component -- Discovery Component -- Membrane Computing -- Cell-Like P Systems -- Tissue-Like P Systems -- Neural-Like P Systems -- Sensor Networks -- Fault Tolerance -- Scalability -- Production Costs -- Operating Environment -- Sensor Network Topology -- Hardware Constraints
Biodegradability Prediction -- Regression Models -- Expert System or Survey Models -- Machine-Based Learning -- References -- Chapter 5: Internet of Things and Additive Manufacturing: Toward Intelligent Production Systems in Industry 4.0 -- Introduction -- Comparison Made Among Traditional and Additive Manufacturing (AM) in Industry 4.0 -- The Role of Additive and IoT in Industry 4.0 -- Roland 3D CNC Milling Machine MDX-40A15 -- Additive Manufacturing Process in Industry 4.0 -- IoT-Based Additive Manufacturing Versus Traditional Manufacturing in 3D Printing
Summary This book covers challenges and solutions in establishing Industry 4.0 standards for Internet of Things. It proposes a clear view about the role of Internet of Things in establishing standards. The sensor design for industrial problem, challenges faced, and solutions are all addressed. The concept of digital twin and complexity in data analytics for predictive maintenance and fault prediction is also covered. The book is aimed at existing problems faced by the industry at present, with the goal of cost-efficiency and unmanned automation. It also concentrates on predictive maintenance and predictive failures. In addition, it includes design challenges and a survey of literature. Discusses the move towards Industry 4.0 standards and creating a digital twin concept to increase production Presents results and design solutions for industrial standards for IoT Intended for researchers, industrialists and data scientists
Notes Includes index
Advantage and Faster Deployment of IoT-Based Additive Manufacturing in Industry
Print version record
Subject Internet of things.
Automation.
Computer integrated manufacturing systems.
Automation
automation.
Automation
Computer integrated manufacturing systems
Internet of things
Form Electronic book
Author Kanagachidambaresan, G. R., 1988-
Anand, R
Balasubramanian, E.
Mahima, V
ISBN 9783030325305
303032530X