Advances in Industry 4.0: Concepts and Applications
- Length: 350 pages
- Edition: 1
- Language: English
- Publisher: de Gruyter
- Publication Date: 2022-07-04
- ISBN-10: 3110725363
- ISBN-13: 9783110725360
- Sales Rank: #0 (See Top 100 Books)
This book presents the emerging technologies of Industry 4.0. It describes the growing trend towards automation and data exchange in the manufacturing industry, with a focus on the internet of things (IoT), the industrial internet of things (IIoT), cyberphysical systems (CPS), smart factories, cloud computing, cognitive computing, and artificial intelligence.
Title Page Copyright Contents Preface Artificial Intelligence and Machine Learning for Industry 4.0 1.1 What is Artificial Intelligence? 1.2 Machine Learning: An AI Subset 1.2.1 Five Essential Subsets for Artificial Intelligence 1.3 Industry 4.0 1.3.1 Introduction 1.3.2 Related Work 1.3.3 Tool to Predict the Disruption of System 1.4 Applications of AI and ML in Industry 4.0 1.4.1 Smart Manufacturing 1.4.2 Autonomous Vehicles and Machines 1.4.3 Quality Control 1.4.4 Predictive Maintenance 1.4.5 Demand Prediction 1.4.6 Chat Bots 1.5 New Challenges in Industry 4.0 1.6 New Opportunities in Industry 4.0 1.7 Conclusion References Industry 4.0: A Road Map to Custom Register Transfer Level Design 2.1 Introduction 2.2 Fourth Industrial Revolution in Semiconductor Engineering 2.3 Market Trends and Challenges in Industry 4.0 2.4 Step by Step Approach from RTL Design to Fabs- A Quick Guide 2.4.1 Design Specifications and Identification of Required Architecture 2.4.2 Digital Logic Design 2.4.3 RTL Verification – Micro Architecture or IP 2.4.4 Logic Synthesis and Netlist Generation 2.4.5 Implementation, DRC Checks and Bit File Generation 2.4.6 Simulation, Debugging Using Debug Cores and Transfer of Bit File to Back-End Teams 2.4.7 Design Towards GDSII for Sign-Off 2.5 Synthesized Modelling Approach for Custom Chip 2.5.1 Three Cases of Sensitivity List 2.5.2 Usage of Functions and Case Statements 2.5.3 Time Delays 2.6 Challenges in Industry 4.0 2.6.1 Advanced Data Analysis With Semiconductors 2.6.2 Cluster of Larger Data Sets and Memory 2.7 Applications of Industry 4.0 2.7.1 Various Industry 4.0 Applications 2.7.2 Semiconductor Industry-Specific Applications 2.8 Simulation Practices 2.8.1 Linting and Its Importance 2.8.2 Logic or Gate Level Synthesis (GLS) 2.9 Conclusion References Industry 4.0: Driving the Digital Transformation in Banking Sector 3.1 Introduction 3.1.1 Digital Driving Forces 3.1.2 The Development of Fintech in India 3.1.3 Virtual Banks Image 3.1.4 Digital Bank & the Use of Artificial Intelligence 3.1.5 Blockchain Technology & Cryptocurrencies 3.1.6 Simpler Management 3.1.7 Challenges of Digital Transformation in Banking Sector 3.1.8 Rivalry with Non-Financial Institutions 3.1.9 Online Payments 3.1.10 Advances 3.1.11 Conclusion References Blockchain for IoT and Big Data Applications: A Comprehensive Survey on Security Issues 4.1 Introduction 4.1.1 Internet of Things (IoT) 4.1.2 Applications of Internet of Things 4.1.3 Big Data 4.1.4 Applications of Big Data 4.1.5 Security Issues in the Internet of Things 4.1.6 Security Issues in Big Data 4.1.7 Possible Security Solutions for Security Threats in IoT and Big Data 4.1.8 Architecture of Blockchain 4.2 Application of Blockchain in IoT and Big Data for Healthcare 4.2.1 IoT in Healthcare 4.2.2 Security Issues with IoT in Healthcare 4.2.3 Blockchain for Addressing the Security Issues with IoT in Healthcare 4.2.4 Big Data in Healthcare 4.2.5 Security Issues with Big Data in Healthcare 4.2.6 Blockchain Solutions for Security Issues with Big Data in Healthcare 4.3 Application of Blockchain in IoT and Big Data for Logistics 4.3.1 Introduction 4.3.2 Security Issues in Application of Big Data and IoT Solutions for Logistics Management References BECON – A Blockchain and Edge Combined Network for Industry 4.0 5.1 Introduction 5.1.1 Related Work 5.2 Motivation and Challenges 5.2.1 Motivation 5.2.2 Decentralization 5.2.3 Security 5.2.4 Challenges 5.3 Model 5.4 Implementation 5.5 Proposed Implementation 5.6 Different Scenarios in the Implementation 5.6.1 Case 1: Single-Car Single-Charger 5.6.2 Case 2: Number of Chargers is Greater Than That of Cars 5.6.3 Case 2: Number of Cars is Greater Than That of Chargers 5.7 Problems Addressed 5.8 Results 5.9 Use Cases 5.9.1 Industrial IOT 5.10 Conclusion References Internet of Things Enabled Health Monitoring System for Smart Cities 6.1 Introduction 6.2 Proposed System for Smart Healthcare Monitoring using IoT 6.2.1 Sensors Connection in Smart Healthcare System 6.3 Components of Smart Healthcare System 6.4 Proposed Smart Healthcare System for Specially Challenged People 6.4.1 Benefits of Hearing Devices 6.4.2 Hardware Description 6.4.3 Client Side Operations (Raspberry Pi) 6.5 Smart Contact Lens 6.5.1 Structure of the Smart Contact Lens 6.6 Conclusion References Smart Farming Solution using Internet of Things for Rural Area 7.1 Introduction 7.1.1 Benefits of Smart Farming 7.1.2 Drones for Agriculture 7.1.3 Precision Farming 7.1.4 Crop Monitoring 7.1.5 Weather Monitoring 7.1.6 Green House Monitoring 7.1.7 Smart Irrigation System 7.1.8 Conclusion References Assistance Device for Visually Impaired based on Image Detection and Classification using DCNN 8.1 Introduction 8.1.1 Motivation 8.1.2 Scope 8.1.3 Problem Statement 8.1.4 Objectives 8.2 Existing Functionality 8.3 System Design 8.3.1 Odriod Board 8.3.2 Deep Convolutional Neural Networks 8.3.3 Convolutional Neural Networks 8.3.4 Image Multi Labelling 8.4 Proposed Methodology 8.5 Conclusion and Future Work References Manufacturing and Investigation of Partially Glazed Geopolymer Tile 9.1 Introduction 9.2 Basic Materials 9.2.1 Class F Fly ash 9.2.2 Ground Granulated Blast Furnace Slag (GGBS) 9.2.3 Alkaline Solution 9.2.4 Plasticizer 9.3 Testing and Selection of Composites 9.4 Tile Preparation Process 9.4.1 Preparation of Alkaline Solution 9.4.2 Casting of Tiles 9.5 Testing on Tile 1.5.1 Flexure Test 9.5.2 Moh’s Hardness Test 9.5.3 Water Absorption 9.6 Conclusion References Water Sensitive Urban Design 10.1 Introduction 10.2 Methodology used in WSUD 10.2.1 Pervious Concrete 10.2.2 Pervious Concrete 10.2.3 Wet Lands 10.2.4 Membrane Bioreactors 10.3 Role of Government in Implementing WSUD 10.4 Case Study 10.5 Comprasion Study (Rainfall Analysis Mysore) 10.6 Conclusion References Degradation of Groundwater Resources By Waste Exposed Land Use In Urban Cities 11.1 Introduction 11.2 Case Study 11.2.1 Mumbai 11.2.2 Delhi 11.2.3 Chennai 11.3 Study Area 11.3.1 Bangalore 11.4 Research Methodology 11.5 Experimental Results 11.6 Conclusion References Use of Effective Placing Different Lateral Load Resisting Structural System in High Rise RC Frame for All Seismic Zones By Using Response Spectrum Method 12.1 Introduction 12.1.1 Shear Wall system 12.1.2 Outrigger Structural System 12.1.3 Infill Wall System 12.2 Objectives of Present Work 12.3 Methodology 12.4 Response Spectrum Analysis 12.5 Models Considered for Present Study 12.6 Results and Discussion 12.6.1 Lateral Displacement 12.6.2 Storey Drift 12.6.3 Base Shear 12.7 Conclusion References Implementation of A Semi-Automatic Approach to CAN Protocol Testing for Industry 4.0 Applications 13.1 Introduction 13.1.1 Introduction to Automotive Electronics 13.2 Previous Work 13.3 Sustainable Pollution 13.3 Necessity for Exhaust Gas Post Treatment 13.4 Selective Catalytic Reduction System(SCR) 13.5 Control Units 13.6 Design and Methodology 13.7 Result and Conclusion 13.8 Polyspace Static Unit Test Report 13.9 Analysis of Runtime Error 13.10 Analysis of Unreachable Theoretical Range (UTR) Errors 13.10.1 Check Calibration Values 13.10.2 Principle 13.10.3 Check for Initializations 13.10.4 Check for MainFunctions 13.11 Coverage Result 13.12 Conclusion and Future Work References Smart Cradle System for Industry 4.0 14.1 Introduction 14.1.1 Problem Statement 14.1.2 Objective of the Project 14.2 Literature Survey 14.2.1 Survey of Papers 14.2.2 The Existing System 14.2.3 The Proposed System 14.3 Software-Requirements-Specification 14.3.1 Function of a Servo motor 14.3.2 Function of a Wet Sensing Sensor 14.3.3 Function of a Sound Sensor 14.3.4 Function of Arduino Uno 14.3.5 Function of Nodemcu ESP8266 module 14.3.6 Function of a Blynk App 14.4 Working Methodology System Design Overview of the system Arduino Uno Servo Motor Wet Sensor Sound Sensor Nodemcu ESP8266 Module Automatic Cradle Swing and Sound Detection Flow Diagram Wetness Detection Condition Flow diagram 14.5 Conclusion 14.6 Future Scope and Enhancement References Books Online Reference Editors Details Index
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