Intelligent connectivity : AI, IoT, and 5G / / Abdulrahman Yarali

• Autore: Yarali Abdulrahman
• Pubblicazione: Hoboken, New Jersey : , : Wiley, , [2022]; ©2022
• Descrizione fisica: 1 online resource (353 pages)
• Disciplina: 004.678
• Soggetto topico: Internet of things; 5G mobile communication systems; Artificial intelligence - Industrial applications
• Nota di contenuto: Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgement -- Introduction -- Chapter 1 Technology Adoption and Emerging Trends -- 1.1 Introduction -- 1.2 Trends in Business Technology -- 1.2.1 Trends that Could Disrupt the Industry -- 1.2.2 Adopting New Technologies -- 1.2.3 Best Practices and Risks Associated with Emerging Technologies -- 1.2.4 Power of Disruptive Technologies -- 1.2.5 Driving Strategy Around Our Priority -- 1.2.6 Strategic Partnerships to be Pursued -- 1.3 AI-Fueled Organizations -- 1.4 Connectivity of Tomorrow -- 1.4.1 Intelligent Interfaces -- 1.5 Moving Beyond Marketing -- 1.6 Cloud Computing -- 1.7 Cybersecurity, Privacy, and Risk Management -- 1.8 Conclusion -- References -- Chapter 2 Telecommunication Transformation and Intelligent Connectivity -- 2.1 Introduction -- 2.1.1 Learning Algorithm and Its Connections to AI -- 2.1.2 Machine Learning as a Precursor to AI -- 2.1.3 Deep Learning and Realization of AI -- 2.1.4 Consideration of the Next Generation Wireless Technology -- 2.1.5 Potential of AI and 5G Network Technology Together -- 2.2 Cybersecurity Concerns in the 5G World -- 2.2.1 5G's Potential in Making Security a Priority -- 2.2.2 Key Features -- 2.3 Positive Effects of Addressing Cybersecurity Challenges in 5G -- 2.4 Intelligent Connectivity Use-Cases -- 2.4.1 Transportation and Logistics -- 2.4.2 AI-based Driver Assistance and Monitoring -- 2.4.3 Self-Driving Vehicles -- 2.4.4 Deliveries with Unmanned Vehicles -- 2.5 Industrial and Manufacturing Operations -- 2.5.1 Factory Automation and Remote Control of Industrial Robots -- 2.5.2 Remote Inspections and Maintenance, and Worker's Training -- 2.6 Healthcare -- 2.6.1 Remote Health Monitoring and Illness Prevention -- 2.6.2 Remote Diagnosis and Medical Operation -- 2.7 Public Safety and Security. ; 2.7.1 Intelligent Video-Surveillance and Security Systems -- 2.7.2 Emergency Services and Border Controls -- 2.7.3 Other Sectors -- 2.8 Conclusion -- References -- Chapter 3 The Internet of Things (IoT): Potentials and the Future Trends -- 3.1 Introduction -- 3.2 Achieving the Future of IoT -- 3.3 Commercial Opportunities for IoT -- 3.4 The Industrial Internet of Things -- 3.4.1 How IIoT Works -- 3.4.2 Benefits of IIoT -- 3.4.3 IIoT versus IoT -- 3.4.4 IIoT Applications and Examples -- 3.4.5 Vendors in IIoT -- 3.4.6 The Future of IIoT -- 3.5 Future Impact of IoT in Our Industry -- 3.6 Data Sharing in the IoT Environment -- 3.7 IoT Devices for Environment Operation -- 3.7.1 Step One: Pick Your Protocol -- 3.7.2 Step Two: Understand Coexistence -- 3.7.3 Step Three: Pick Your Technique -- 3.7.4 Step Four: Create Your Test Plan -- 3.8 Interoperability Issues of IoT -- 3.9 IoT-Cloud - Application -- 3.10 Regulation and Security Issues of IoT -- 3.11 Achieving IoT Innovations While Tackling Security and Regulation Issues -- 3.12 Future of IoT -- 3.13 Conclusion -- References -- Chapter 4 The Wild Wonders of 5G Wireless Technology -- 4.1 Introduction -- 4.1.1 First Generation (1G) -- 4.1.2 Second Generation (2G) -- 4.1.3 Third Generation (3G) -- 4.1.4 Advanced Third Generation (3.5G) -- 4.1.5 Fourth Generation (4G) -- 4.1.6 Fifth Generation (5G) -- 4.2 5G Architecture -- 4.2.1 Realizing New 5G Possibilities with the Intelligent Edge -- 4.3 5G Applications -- 4.3.1 5G and Video Surveillance -- 4.3.2 5G and Fixed Wireless Access (FWA) -- 4.4 5G Network Architecture -- 4.5 Security and Issues of 5G -- 4.6 IoT Devices in 5G Wireless -- 4.7 Big Data Analytics in 5G -- 4.8 AI Empowers a Wide Scope of Use Cases -- 4.9 Conclusion -- References -- Chapter 5 Artificial Intelligence Technology -- 5.1 Introduction -- 5.2 Core Concepts of Artificial Intelligence. ; 5.3 Machine Learning and Applications -- 5.4 Deep Learning -- 5.5 Neural Networks Follow a Natural Model -- 5.6 Classifications of Artificial Intelligence -- 5.7 Trends in Artificial Intelligence -- 5.7.1 Artificial Intelligence in Energy -- 5.7.2 Artificial Intelligence in Healthcare -- 5.7.3 Artificial Intelligence in Education -- 5.7.4 Artificial Intelligence in Manufacturing -- 5.7.5 Artificial Intelligence in Financial Services -- 5.7.6 Artificial Intelligence in Transport -- 5.8 Challenges of Artificial Intelligence -- 5.8.1 Data -- 5.9 Funding Trends in Artificial Intelligence -- 5.9.1 Artificial Readiness -- 5.9.2 Foundational Readiness -- 5.9.3 Operational Readiness -- 5.9.4 Transformational Readiness -- 5.10 Conclusion -- References -- Chapter 6 AI, 5G, and IoT: Driving Forces Towards the Industry Technology Trends -- 6.1 Introduction -- 6.2 Fifth Generation of Network Technology -- 6.3 Internet of Things (IoT) -- 6.4 Industrial Internet of Things -- 6.5 IoT in the Automotive Industry -- 6.6 IoT in Agriculture -- 6.7 AI, IoT, and 5G Security -- 6.8 Conclusion -- References -- Chapter 7 Intelligent Connectivity: New Capabilities to Bring Complex Use Cases -- 7.1 Introduction -- 7.1.1 Artificial Intelligence -- 7.1.2 The Fifth Generation Networks -- 7.1.3 The Internet of Things -- 7.2 Machine-to-Machine Communication and the Internet of Things -- 7.3 Convergence of Internet of Things, Artificial Intelligence, and 5G -- 7.3.1 The Benefits of Intelligent Connectivity -- 7.4 Intelligent Connectivity Applications -- 7.4.1 Industry -- 7.4.2 Transport and Logistics -- 7.4.3 Healthcare -- 7.4.4 Security -- 7.4.5 Smart Homes and Personal Assistant -- 7.4.6 Wearable Technology -- 7.4.7 Entertainment -- 7.4.8 Communication -- 7.4.9 Resource Management -- 7.4.10 Agriculture -- 7.4.11 Education -- 7.5 Challenges and Risks of Intelligent Connectivity. ; 7.5.1 Economic Risks -- 7.5.2 Risks to Human Safety and Agency -- 7.5.3 Social Risk -- 7.5.4 Secondary Risks -- 7.5.5 Confidentiality and Scalability -- 7.6 Recommendations -- 7.7 Conclusion -- References -- Chapter 8 IoT: Laws, Policies, and Regulations -- 8.1 Introduction -- 8.2 Recently Published Laws and Regulations -- 8.2.1 IoT Cybersecurity Improvement Act of 2017 -- 8.3 Developing Innovation and Growing the Internet of Things (DIGIT) Act -- 8.4 General View -- 8.5 Relaxation of Laws by the Federal Aviation Administration (FAA) -- 8.6 Supporting Innovation of Self-Driving Cars by Government Policies -- 8.6.1 Investment by US Department of Homeland Security -- 8.6.2 United States Guiding Principles for IoT Security -- 8.6.3 The United Kingdom on IoT -- 8.6.4 United States Department of Commerce -- 8.6.5 Federal Trade Commission and Creating an IoT Security Solution -- 8.7 Recommendations -- 8.8 Conclusion -- References -- Chapter 9 Artificial Intelligence and Blockchain -- 9.1 Introduction -- 9.2 Decentralized Intelligence -- 9.2.1 Data Protection -- 9.2.2 Trusting AI Decision Making -- 9.2.3 AI and Encryption -- 9.3 Applications -- 9.3.1 The Coordination of Blockchain into AI -- 9.3.2 Essential Blockchain Benefits -- 9.4 How Artificial Intelligence and Blockchain Will Affect Society -- 9.4.1 Banking and Payments -- 9.4.2 Cybersecurity -- 9.4.3 Internet of Things -- 9.4.4 Unified Communications -- 9.4.5 Government -- 9.4.6 Crowdfunding and Donating to Charities -- 9.4.7 Healthcare -- 9.4.8 Rentals and Ride-Sharing -- 9.5 Augmented Reality -- 9.5.1 Augmented Reality in the Production Context -- 9.5.2 How Augmented Reality Works -- 9.5.3 Marker and Marker-Less AR -- 9.5.4 Layered AR -- 9.5.5 Projection AR -- 9.5.6 AR in Education -- 9.5.7 AR in Navigation -- 9.5.8 AR in Games -- 9.6 Mixed Reality -- 9.7 Virtual Reality -- 9.7.1 Virtual World. ; 9.7.2 Mental Immersion -- 9.7.3 Physical Immersion -- 9.7.4 Tangible Feedback -- 9.7.5 Intelligence -- 9.7.6 Types of Virtual Reality -- 9.7.7 Semi-Immersive -- 9.7.8 Completely Immersive -- 9.8 Key Components in a Virtual Reality System -- 9.8.1 PC (Personal Computer)/Console/Smartphone -- 9.8.2 Head-Mounted Display -- 9.8.3 Information Devices -- 9.8.4 Augmented Reality versus Virtual Reality -- 9.8.5 Benefits of Augmented Reality -- 9.9 Augmented Reality Uses -- 9.9.1 Retail -- 9.9.2 Real Estate -- 9.9.3 Interior Design -- 9.9.4 Tourism and Maps -- 9.9.5 Training and Education -- 9.9.6 Healthcare -- 9.10 Applications of Virtual Reality in Business -- 9.10.1 Training -- 9.10.2 Retail -- 9.10.3 Construction -- 9.10.4 Data Representation -- 9.10.5 Manufacture -- 9.11 The Future of Blockchain -- 9.12 Blockchain Applications -- 9.12.1 National Cryptographic Money -- 9.12.2 Blockchain into Government -- 9.12.3 Blockchain Specialists -- 9.13 Blockchain and the Internet of Things -- 9.14 Law Coordination -- 9.15 Collaboration for Blockchain Success -- References -- Chapter 10 Digital Twin Technology -- 10.1 Introduction -- 10.2 The Timeline and History of Digital Twin Technology -- 10.3 Technologies Employed in Digital Twin Models -- 10.3.1 Cloud Services -- 10.3.2 Cyber-Physical Systems -- 10.4 The Dimension of Digital Twin Models -- 10.4.1 Digital Twin Data -- 10.4.2 Services in Digital Twins -- 10.4.3 Connection in Digital Twins -- 10.4.4 Physical Assets in Digital Twins -- 10.4.5 Virtual Entities in Digital Twins -- 10.5 Digital Twin and Other Technologies -- 10.5.1 Digital Twins and Internet of Things -- 10.5.2 Digital Twins and Artificial Intelligence -- 10.5.3 Digital Twins and Analytics -- 10.5.4 Digital Twins and Connectivity -- 10.5.5 Digital Twins and Machine Learning -- 10.6 Digital Twin Technology Implementation. ; 10.7 Benefits of Digital Twins.
• Sommario/riassunto: "This book focuses on the fusion between the core technologies of the future ? Artificial Intelligence (AI), 5G, and the Internet of Things (IoT), exploring how they can be mutually supportive. AI, IoT, and 5G are the pillars that lead digital transformation, and the combination of super-fast 5th generation networks with AI and IoT will usher in a new age of intelligent connectivity, particularly beneficial to transportation, logistics, education, healthcare, entertainment, public safety/security and industrial and manufacturing operations. The book will offer technical and economic insights about intelligent connectivity as a key part of transformation in the 4th industrial revolution. The reader (technical and non-technical) will benefit from a comprehensive discussion of Artificial Intelligence, 5G, IoT and machine-learning and how they are vital in the period of open-source programming and moderate cloud computing"--
• Titolo autorizzato: Intelligent connectivity
• ISBN: 9781119685180; 9781119685265
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910830742203321
• Lo trovi qui: Univ. Federico II