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AI-Driven IoT Systems for Industry 4.0

AI-Driven IoT Systems for Industry 4.0
Author: Deepa Jose
Publisher: CRC Press
Total Pages: 419
Release: 2024-07-30
Genre: Computers
ISBN: 1040041159
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The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc. A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0. This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.

Artificial Intelligence and Industry 4.0

Artificial Intelligence and Industry 4.0
Author: Aboul Ella Hassanien
Publisher: Academic Press
Total Pages: 264
Release: 2022-08-14
Genre: Technology & Engineering
ISBN: 0323906397
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Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT. Explores artificial intelligence applications within the industrial manufacturing and communications sectors Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions

The Convergence of Self-Sustaining Systems With AI and IoT

The Convergence of Self-Sustaining Systems With AI and IoT
Author: Rajappan, Roopa Chandrika
Publisher: IGI Global
Total Pages: 428
Release: 2024-04-26
Genre: Business & Economics
ISBN:
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Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.

Intelligent Systems and Industrial Internet of Things for Sustainable Development

Intelligent Systems and Industrial Internet of Things for Sustainable Development
Author: C. Kishor Kumar Reddy
Publisher: CRC Press
Total Pages: 331
Release: 2024-05-10
Genre: Computers
ISBN: 1040018254
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The book studies emerging and sustaining technologies for applications of Industry 5.0 to develop technological solutions to address numerous real-life challenges to solve sustainable development-related issues. It identifies limitations, pitfalls, and open research questions in industry 5.0, discusses real-time problems, and challenges with equivalent solutions with a focus on sustainable growth to develop, humanization and environmentally friendly intelligent system applications. It analyses applications enabled by Industry 5.0 such as healthcare, supply chain, smart framing, remote sensing, production in manufacturing, and cloud manufacturing. It also includes the difficulties and problems posed by the organization between robots and humans on the assembly line to maintain sustainability. Addresses key challenges in implementing intelligent systems in IoT-based applications, including issues ranging from cost and energy efficiency to availability and quality of service Explores the technologies to allow human-machine association and its impact on consumption and sustainability Provides sustainable solutions to emerging industrial problems, especially in healthcare, manufacturing, remote sensing, environmental engineering Examines need for data pre-processing, classification & prediction, Cluster Analysis, Mining Multimedia, Text, and Web Data, Advanced machine learning techniques for scientific programming in Industry Presents success stories in the form of case studies of IIoT, IIoRT, Big Data, Intelligent Systems, Deep Learning in Industry 5.0 era The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology, especially for professionals and researchers interested in the technological side of sustainable development.

Industry 4.0: Harnessing the Power of Industrial IoT

Industry 4.0: Harnessing the Power of Industrial IoT
Author: Alex C. Techworth
Publisher: Book Lovers HQ
Total Pages: 209
Release:
Genre: Computers
ISBN:
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In today's rapidly evolving industrial landscape, businesses face an unprecedented challenge: adapt to the new era of Industry 4.0 or risk being left behind. 'Industry 4.0: Harnessing the Power of Industrial IoT' is a guide that comprehensively explores how the Internet of Things (IoT) is not just revolutionizing, but transforming manufacturing, supply chains, and industrial processes. This book is your inspiration to understand and leverage the transformative potential of Industrial IoT (IIoT) to stay competitive in the modern world. Rich with insights, real-world examples, and forward-looking strategies, this book is a practical guide to the technologies and trends shaping the industry's future. From smart factories and predictive maintenance to data-driven decision-making and sustainable manufacturing, you'll discover how IoT is redefining efficiency, productivity, and innovation across every industrial sector. What You Will Find in This Book: A deep dive into the core concepts and technologies driving Industry 4.0. Practical examples of how IoT is transforming manufacturing and supply chains. Strategies for implementing IoT solutions in industrial settings. Insights into the future of automation, AI, and digital transformation. Ways to overcome common challenges in IoT adoption. The role of IoT in promoting sustainability and ethical business practices. How to prepare your workforce for the IoT-driven industrial revolution. Whether you are a business leader, technologist, or someone passionate about the industry's future, "Industry 4.0: Harnessing the Power of Industrial IoT" is tailored to your interests. It equips you with the knowledge and tools to navigate and succeed in this new era. Don't miss the opportunity to transform your operations and drive growth with the power of IoT.

Edge Computational Intelligence for AI-Enabled IoT Systems

Edge Computational Intelligence for AI-Enabled IoT Systems
Author: Shrikaant Kulkarni
Publisher: CRC Press
Total Pages: 347
Release: 2024-02-26
Genre: Computers
ISBN: 1003825125
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Edge computational intelligence is an interface between edge computing and artificial intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies are just in their infancy. Edge Computational Intelligence for AI-Enabled IoT Systems looks at the trends and advances in edge computing and edge AI, the services rendered by them, related security and privacy issues, training algorithms, architectures, and sustainable AI-enabled IoT systems. Together, these technologies benefit from ultra-low latency, faster response times, lower bandwidth costs and resilience from network failure, and the book explains the advantages of systems and applications using intelligent IoT devices that are at the edge of a network and close to users. It explains how to make most of edge and cloud computing as complementary technologies or used in isolation for extensive and widespread applications. The advancement in IoT devices, networking facilities, parallel computation and 5G, and robust infrastructure for generalized machine learning have made it possible to employ edge computational intelligence in diverse areas and in diverse ways. The book begins with chapters that cover Edge AI services on offer as compared to conventional systems. These are followed by chapters that discuss security and privacy issues encountered during the implementation and execution of edge AI and computing services The book concludes with chapters looking at applications spread across different areas of edge AI and edge computing and also at the role of computational intelligence in AI-driven IoT systems.

AI-Aided IoT Technologies and Applications for Smart Business and Production

AI-Aided IoT Technologies and Applications for Smart Business and Production
Author: Alex Khang
Publisher: CRC Press
Total Pages: 312
Release: 2023-12-01
Genre: Computers
ISBN: 1003821510
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This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools. This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.

AI-Powered IoT in the Energy Industry

AI-Powered IoT in the Energy Industry
Author: S. Vijayalakshmi
Publisher: Springer Nature
Total Pages: 318
Release: 2023-04-05
Genre: Technology & Engineering
ISBN: 3031150449
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AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. ​Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.

Artificial Intelligence-based Internet of Things Systems

Artificial Intelligence-based Internet of Things Systems
Author: Souvik Pal
Publisher: Springer Nature
Total Pages: 509
Release: 2022-01-11
Genre: Technology & Engineering
ISBN: 3030870596
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The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.

Intelligent Internet of Things

Intelligent Internet of Things
Author: Farshad Firouzi
Publisher: Springer Nature
Total Pages: 647
Release: 2020-01-21
Genre: Technology & Engineering
ISBN: 3030303675
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This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.