Tabla de Contenidos: “…312 -- A.3.6 IMote 2 312 -- A.3.7 System-on-Chip CC2510 313 -- A.3.8 System-on-Chip CC2530 314 -- A.4 Networks and Protocols 315 -- A.4.1 ZigBee 315 -- A.4.2 RFID and Wireless Sensor Integration 318 -- A.4.3 Wireless Sensors for Industrial Environments 319 -- A.5 Systems 321 -- References 325 -- Index 337.…”

Tabla de Contenidos: “…2.2.4 Big Data Analytics -- 2.2.5 Cloud Computing -- 2.2.6 Cyber Security -- 2.2.6.1 Cyber-Security Challenges in Industry 4.0 -- 2.2.7 Augmented Reality and Virtual Reality -- 2.2.8 Simulation -- 2.2.8.1 Need of Simulation in Smart Manufacturing -- 2.2.8.2 Advantages of Simulation -- 2.2.8.3 Simulation and Digital Twin -- 2.2.9 Digital Twins -- 2.2.9.1 Integration of Horizontal and Vertical Systems -- 2.2.10 IoT and IIoT in Industry 4.0 -- 2.2.11 Artificial Intelligence in Industry 4.0 -- 2.2.12 Implications of the Study for Academicians and Practitioners -- 2.3 Summary and Conclusions -- 2.3.1 Benefits of Industry 4.0 -- 2.3.2 Challenges in Industry 4.0 -- 2.3.3 Future Directions -- Acknowledgement -- References -- Chapter 3 IoT-Based Intelligent Manufacturing System: A Review -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Research Procedure -- 3.3.1 The Beginning and Advancement of SM/IM -- 3.3.2 Beginning of SM/IM -- 3.3.3 Defining SM/IM -- 3.3.4 Potential of SM/IM -- 3.3.5 Statistical Analysis of SM/IM -- 3.3.6 Future Endeavour of SM/IM -- 3.3.7 Necessary Components of IoT Framework -- 3.3.8 Proposed System Based on IoT -- 3.3.9 Development of IoT in Industry 4.0 -- 3.4 Smart Manufacturing -- 3.4.1 Re-Configurability Manufacturing System -- 3.4.2 RMS Framework Based Upon IoT -- 3.4.3 Machine Control -- 3.4.4 Machine Intelligence -- 3.4.5 Innovation and the IIoT -- 3.4.6 Wireless Technology -- 3.4.7 IP Mobility -- 3.4.8 Network Functionality Virtualization (NFV) -- 3.5 Academia Industry Collaboration -- 3.6 Conclusions -- References -- Chapter 4 3D Printing Technology in Smart Manufacturing Systems for Efficient Production Process -- Abbreviations -- 4.1 Introduction and Literature Reviews -- 4.1.1 Motivation Behind the Study -- 4.1.2 Objective of the Chapter -- 4.2 Network in Smart Manufacturing System…”

Tabla de Contenidos: “…3.3 Characteristics of SDRs3.3.1 Thin-film Flow and Surface Waves; 3.3.2 Heat and Mass Transfer; 3.3.3 Mixing Characteristics; 3.3.4 Residence Time and Residence Time Distribution; 3.3.5 SDR Applications; 3.4 Case Studies: SDR Application for Green Chemical Processing and Synthesis; 3.4.1 Cationic Polymerization using Heterogeneous Lewis Acid Catalysts; 3.4.2 Solvent-free Photopolymerization Processing; 3.4.3 Heterogeneous Catalytic Organic Reaction in the SDR: An Example of Application to the Pharmaceutical/Fine Chemicals Industry; 3.4.4 Green Synthesis of Nanoparticles…”

Tabla de Contenidos: “…Front Cover -- Designing Smart Manufacturing Systems -- Copyright -- Contents -- Contributors -- Part I Smart manufacturing design -- 1 Cloud manufacturing implementation for smart manufacturing networks -- 1.1 Introduction -- 1.2 Cloud manufacturing -- 1.3 CMfg approach for smart manufacturing networks -- Database module -- Intelligent assessment and optimization module -- Functional compatibility engine -- Intelligent optimization engine -- Decision-making module -- Supplier decision-making engine -- Customer decision-making engine -- 1.4 Cloud manufacturing platform implementation -- 1.5 Intelligent recommendation system -- 1.6 Recommendation system implementation -- Customer profiling -- Intelligent regression -- Evaluation and discussion -- 1.7 Conclusions -- References -- 2 Improving Brazilian Engineering Education: real engineering challenges in an IIoT undergraduate course -- Introduction -- Modernization of Engineering Education in Brazil -- Real-world research problem -- The Industrial Internet-of-Things course -- Challenge-based learning and CDIO frameworks as integrated active learning methodologies -- The assessment tools for projects -- Presentation rubric -- Peer assessment rubrics -- CDIO rubrics -- Ethics and privacy rubric -- The scenario for application of integrated active learning methodologies -- Results -- Final remarks -- Acknowledgment -- References -- Part II Industry 4.0 information technology developments -- 3 New verification and validation tools for Industry 4.0 software -- 3.1 Introduction -- 3.2 Background in software testing -- 3.2.1 Software testing in Industry 4.0 -- 3.3 MSS-based testing -- 3.4 TAPIR -- 3.4.1 Aspect-Oriented Programming -- 3.4.2 Framework design, implementation, and operation -- Design -- Implementation -- Operation -- 3.4.3 Coverage criteria -- Coverage criteria for valid sequences…”

Tabla de Contenidos: “…3.2.2 Indirect Method Sensors -- 3.2.3 Dynamometer -- 3.2.4 Accelerometer -- 3.2.5 Acoustic Emission Sensor -- 3.2.6 Current Sensors -- 3.3 Other Sensors -- 3.3.1 Temperature Sensors -- 3.3.2 Optical Sensors -- 3.4 Interaction of Sensors During Machining Operation -- 3.4.1 Milling Machining -- 3.4.2 Turning Machining -- 3.4.3 Drilling Machining Operation -- 3.5 Sensor Fusion Technique -- 3.6 Interaction of Internet of Things -- 3.6.1 Identification -- 3.6.2 Sensing -- 3.6.3 Communication -- 3.6.4 Computation -- 3.6.5 Services -- 3.6.6 Semantics -- 3.7 IoT Technologies in Manufacturing Process -- 3.7.1 IoT Challenges -- 3.7.2 IoT-Based Energy Monitoring System -- 3.8 Industrial Application -- 3.8.1 Integrated Structure -- 3.8.2 Monitoring the System Related to Service Based on Internet of Things -- 3.9 Decision Making Methods -- 3.9.1 Artificial Neural Network -- 3.9.2 Fuzzy Inference System -- 3.9.3 Support Vector Mechanism -- 3.9.4 Decision Trees and Random Forest -- 3.9.5 Convolutional Neural Network -- 3.10 Conclusion -- References -- Chapter 4 Application of Internet of Things (IoT) in the Automotive Industry -- 4.1 Introduction -- 4.2 Need For IoT in Automobile Field -- 4.3 Fault Diagnosis in Automobile -- 4.4 Automobile Security and Surveillance System in IoT-Based -- 4.5 A Vehicle Communications -- 4.6 The Smart Vehicle -- 4.7 Connected Vehicles -- 4.7.1 Vehicle-to-Vehicle (V2V) Communications -- 4.7.2 Vehicle-to-Infrastructure (V2I) Communications -- 4.7.3 Vehicle-to-Pedestrian (V2P) Communications -- 4.7.4 Vehicle to Network (V2N) Communication -- 4.7.5 Vehicle to Cloud (V2C) Communication -- 4.7.6 Vehicle to Device (V2D) Communication -- 4.7.7 Vehicle to Grid (V2G) Communications -- 4.8 Conclusion -- References -- Chapter 5 IoT for Food and Beverage Manufacturing -- 5.1 Introduction -- 5.2 The Influence of IoT in a Food Industry…”

Tabla de Contenidos: “…-- 8.2 Benefits of Deposit Tokens -- 8.3 Deposit Token Projects -- 8.3.1 Regulated Liability Network (RLN) -- 8.3.2 Onyx by JP Morgan -- 8.3.3 German Banking Industry Committee -- 8.3.4 Swiss Banker's Association (SBA) -- 8.3.5 Other projects -- 8.4 Chapter Summary -- Notes -- Chapter 9 Institutional DeFi -- 9.1 Considerations for Institutions to Participate in DeFi -- 9.2 Institutional DeFi Examples -- 9.3 AMMs and FX -- 9.4 Considerations for AMMs and Tokenized Assets -- 9.5 Unified Ledger -- 9.6 Chapter Summary -- Notes -- Chapter 10 Conclusion -- 10.1 The Crypto-Fiat Innovation Dialectic -- 10.1.1 From Bitcoin to CBDCs -- 10.1.2 Can DeFi Advance Financial Inclusion? …”