Shaping the Future of IoT with Edge Intelligence
Shaping the Future of IoT with Edge Intelligence

Author: Rute C. Sofia

Publisher: CRC Press

Published: 2024-01-08

Total Pages: 376

ISBN-13: 100381218X

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This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions. Specifically, it presents how 5G/6G, Edge AI, and Blockchain solutions enable novel IoT-based decentralized intelligence use cases at the edge of the cloud/edge/IoT continuum. Emphasis is placed on presenting how these technologies support a wide array of functional and non-functional requirements spanning latency, performance, cybersecurity, data protection, real-time performance, energy efficiency, and more. The various chapters of the book are contributed by several EU-funded projects, which have recently developed novel IoT platforms that enable the development and deployment of edge intelligence applications based on the cloud/edge paradigm. Each one of the projects employs its own approach and uses a different mix of networking, middleware, and IoT technologies. Therefore, each of the chapters of the book contributes a unique perspective on the capabilities of enabling technologies and their integration in practical real-life applications in different sectors. The book is structured in five distinct parts. Each one of the first four parts focuses on a specific set of enabling technologies for edge intelligence and smart IoT applications in the cloud/edge/IoT continuum. Furthermore, the fifth part provides information about complementary aspects of next-generation IoT technology, including information about business models and IoT skills. Specifically: The first part focuses on 5G/6G networking technologies and their roles in implementing edge intelligence applications. The second part presents IoT applications that employ machine learning and other forms of Artificial Intelligence at the edge of the network. The third part illustrates decentralized IoT applications based on distributed ledger technologies. The fourth part is devoted to the presentation of novel IoT applications and use cases spanning the cloud/edge/IoT continuum. The fifth part discusses complementary aspects of IoT technologies, including business models and digital skills.

Understanding IoT: Tips, Recommendations, and Strategies for Success
Understanding IoT: Tips, Recommendations, and Strategies for Success

Author: Rick Spair

Publisher: Rick Spair

Published:

Total Pages: 165

ISBN-13:

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Welcome to "Understanding IoT: Tips, Recommendations, and Strategies for Success." This comprehensive guide is designed to provide you with valuable insights into the world of the Internet of Things (IoT) and equip you with the knowledge and tools necessary to navigate the complexities of implementing successful IoT solutions. The IoT has emerged as a powerful force, transforming industries, enhancing connectivity, and revolutionizing the way we interact with our surroundings. From smart homes to industrial automation, from healthcare monitoring to smart cities, the IoT has the potential to reshape our lives and drive significant advancements in various sectors. However, the vast landscape of IoT can be overwhelming, with a multitude of technologies, challenges, and considerations to navigate. This guide aims to demystify the IoT ecosystem, offering practical tips, recommendations, and strategies to help you understand and harness the power of IoT for success. Throughout this book, we will delve into various aspects of IoT implementation, covering topics such as understanding the basic concepts of IoT, planning IoT projects, selecting the right IoT platforms, data management and analytics, connectivity options, sensors and actuators, security considerations, and much more. Each chapter is carefully crafted to provide comprehensive insights, practical tips, and real-world examples to guide you on your IoT journey. By reading this guide, you will gain a deep understanding of IoT principles, learn best practices for designing, implementing, and maintaining IoT solutions, and explore emerging trends and technologies that shape the future of IoT. Whether you are an individual looking to enhance your knowledge of IoT or an organization seeking to capitalize on the benefits of IoT, this book serves as a valuable resource to help you achieve your goals. It is important to note that IoT is a rapidly evolving field, and new developments continually emerge. While this guide provides a solid foundation and covers a wide range of topics, it is crucial to continue learning and staying updated with the latest advancements in the IoT landscape. By embracing ongoing learning, networking with industry professionals, and exploring emerging trends, you can stay ahead of the curve and capitalize on the ever-expanding possibilities of IoT. I hope that this comprehensive guide will empower you to embark on your IoT journey with confidence, make informed decisions, overcome challenges, and achieve success. Let's dive into the world of IoT and unlock its transformative potential together.

Shaping the Future of Automation With Cloud-Enhanced Robotics
Shaping the Future of Automation With Cloud-Enhanced Robotics

Author: Gatti, Rathishchandra Ramachandra

Publisher: IGI Global

Published: 2024-04-26

Total Pages: 457

ISBN-13:

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In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.

TinyML for Edge Intelligence in IoT and LPWAN Networks
TinyML for Edge Intelligence in IoT and LPWAN Networks

Author: Bharat S Chaudhari

Publisher: Elsevier

Published: 2024-05-29

Total Pages: 520

ISBN-13: 0443222037

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Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. - This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. - The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. - Applications from the healthcare and industrial sectors are presented. - Guidance on the design of applications and the selection of appropriate technologies is provided.

Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering
Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering

Author: Arun Kumar Rana

Publisher: CRC Press

Published: 2024-10-30

Total Pages: 304

ISBN-13: 1040149340

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This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers around the world. Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering discusses the Internet of Things (IoT) and ML devices that are deployed for enabling patient health tracking, various emergency issues, and the smart administration of patients. It looks at the problems of cardiac analysis in e-healthcare, explores the employment of smart devices aimed at different patient issues, and examines the usage of Arduino kits where the data can be transferred to the cloud for Internet-based uses. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. The authors also examine the role of IoT and ML in electroencephalography and magnetic resonance imaging, which play significant roles in biomedical applications. This book also incorporates the use of IoT and ML applications for smart wheelchairs, telemedicine, GPS positioning of heart patients, and smart administration with drug tracking. Finally, the book also presents the application of these technologies in the development of advanced healthcare frameworks. This book will be beneficial for new researchers and practitioners working in the biomedical and healthcare fields. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practices of medical image retrieval and brain image segmentation.

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

Published: 2024-04-26

Total Pages: 428

ISBN-13:

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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.

Mastering Distributed Computing
Mastering Distributed Computing

Author: Cybellium Ltd

Publisher: Cybellium Ltd

Published:

Total Pages: 179

ISBN-13:

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Uncover the Art of Seamless Distributed Computing with "Mastering Distributed Computing" In the dynamic realm of modern computing, the ability to harness the power of distributed systems is paramount. "Mastering Distributed Computing" is your definitive guide to mastering the art of seamlessly orchestrating distributed resources for optimal performance and scalability. Whether you're an experienced software engineer or a newcomer to the world of distributed computing, this book equips you with the knowledge and skills needed to navigate the intricacies of distributed systems. About the Book: "Mastering Distributed Computing" takes you on an enlightening journey through the intricacies of distributed computing, from foundational concepts to advanced techniques. From distributed architectures to consensus algorithms, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of distributed systems, including scalability, fault tolerance, and data consistency. · Distributed Architectures: Explore a range of distributed architectures, including client-server, peer-to-peer, microservices, and serverless, understanding their strengths and applications. · Consistency and Replication: Dive into the complexities of data consistency and replication strategies, including eventual consistency, strong consistency, and distributed databases. · Distributed Algorithms: Master fundamental distributed algorithms, such as leader election, distributed locking, and distributed transactions, for coordinating actions across nodes. · Scaling Strategies: Discover strategies for scaling distributed systems horizontally and vertically, ensuring optimal performance as workloads grow. · Fault Tolerance: Understand mechanisms for building fault-tolerant systems, including redundancy, replication, and failure detection and recovery. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from finance and e-commerce to social media and beyond. · Cloud and Edge Computing: Explore the role of distributed computing in cloud environments and edge computing scenarios, and their impact on modern applications. · Security and Privacy: Explore best practices for securing distributed systems, data encryption, access control, and compliance. Who This Book Is For: "Mastering Distributed Computing" is designed for software engineers, architects, developers, and anyone passionate about effective distributed system design. Whether you're seeking to enhance your skills or embark on a journey toward becoming a distributed computing expert, this book provides the insights and tools to navigate the complexities of distributed systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Integrating Generative AI in Education to Achieve Sustainable Development Goals
Integrating Generative AI in Education to Achieve Sustainable Development Goals

Author: Doshi, Ruchi

Publisher: IGI Global

Published: 2024-06-03

Total Pages: 563

ISBN-13:

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A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI’s rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.