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On Edge Empowered Learning Model Optimization For Industrial Applications
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Book Synopsis On Edge Empowered Learning Model Optimization for Industrial Applications by : Danyang Song
Download or read book On Edge Empowered Learning Model Optimization for Industrial Applications written by Danyang Song and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As new neural network models continue to expand, Artificial Intelligence (AI) applications seeking more accurate results rely on larger, deeper networks and require powerful computing devices. However, numerous resource-constrained heterogeneous devices are deployed in actual industrial settings. Additionally, due to the high cost of powerful hardware and the heterogeneous hardware system provided by different manufacturers, developing a practical and industrially usable system is challenging. To address these concerns, this thesis first elucidates the use of AI technology for early data analysis in the field of safe driving, demonstrating its potential in industrial settings. Second, a cross-platform model serving framework, LiGo, is developed and verified on actual devices and scenarios to demonstrate its ability to enhance deployment flexibility and efficiency in heterogeneous edge computing.
Book Synopsis Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications by : Pethuru Raj
Download or read book Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications written by Pethuru Raj and published by Cambridge Scholars Publishing. This book was released on 2024-08-22 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: The edge AI implementation technologies are fast maturing and stabilizing. Edge AI digitally transforms retail, manufacturing, healthcare, financial services, transportation, telecommunication, and energy. The transformative potential of Edge AI, a pivotal force in driving the evolution from Industry 4.0’s smart manufacturing and automation to Industry 5.0’s human-centric, sustainable innovation. The exploration of the cutting-edge technologies, tools, and applications that enable real-time data processing and intelligent decision-making at the network’s edge, addressing the increasing demand for efficiency, resilience, and personalization in industrial systems. Our book aims to provide readers with a comprehensive understanding of how Edge AI integrates with existing infrastructures, enhances operational capabilities, and fosters a symbiotic relationship between human expertise and machine intelligence. Through detailed case studies, technical insights, and practical guidelines, this book serves as an essential resource for professionals, researchers, and enthusiasts poised to harness the full potential of Edge AI in the rapidly advancing industrial landscape.
Book Synopsis Intelligent Industrial Internet Systems by : Wanchun Dou
Download or read book Intelligent Industrial Internet Systems written by Wanchun Dou and published by Springer Nature. This book was released on 2023-11-20 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the process of transforming modern manufacturing into intelligent manufacturing, more and more manufacturing processes are being deployed digitally on the Internet. As a novel digital industrial infrastructure and new application ecology, Industrial Internet could integrate the novel information and communication technology into various industrial manufacturing processes, through the safe and reliable intelligent interconnection of factors concerning people, machines and things. It aims at significantly improving the digitalization, networking and intelligence of manufacturing processes through the comprehensive interconnection of all manufacturing factors. To deploy and run traditional manufacturing processes on Industrial Internet efficiently, corresponding digital technical means are called for. These technical means play an important role in many potential applications of intelligent manufacturing, e.g. integrating product lifecycle data, strengthening industrial chain cooperation, providing decision-making service information oriented on the production organization process, and providing data support for product optimization and upgrading. This book focuses on the theory, techniques and means for integrating intelligent Industrial Internet applications deployed via mobile edge computing. Concretely, it mainly studies the intelligent theory, techniques and means from a problem-driven and demand-driven perspective, which supports collaborative design, agile manufacturing, remote operation and maintenance on Industrial Internet. These technologies primarily include Industrial Internet-centric intelligent resource scheduling methods, various types of industrial data privacy protection, intelligent version management technologies supporting digital twin applications, various data mining algorithms for intelligent execution of business processes, etc. Given its scope, the book offers a valuable theoretical and technical resource for project managers, technical developers, researchers, educators and students at colleges and universities.
Book Synopsis Industrial Applications of Machine Learning by : Pedro Larrañaga
Download or read book Industrial Applications of Machine Learning written by Pedro Larrañaga and published by CRC Press. This book was released on 2018-12-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems. Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors Includes four case studies addressing real-world industrial problems solved with machine learning techniques A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka
Book Synopsis Deep Learning on Edge Computing Devices by : Xichuan Zhou
Download or read book Deep Learning on Edge Computing Devices written by Xichuan Zhou and published by Elsevier. This book was released on 2022-02-02 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are introduced in each section, and a comprehensive example, smart surveillance cameras, is presented at the end of the book, integrating innovation in both algorithm and hardware architecture. Structured into three parts, the book covers core concepts, theories and algorithms and architecture optimization. This book provides a solution for researchers looking to maximize the performance of deep learning models on Edge-computing devices through algorithm-hardware co-design. Focuses on hardware architecture and embedded deep learning, including neural networks Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications Considers how Edge computing solves privacy, latency and power consumption concerns related to the use of the Cloud Describes how to maximize the performance of deep learning on Edge-computing devices Presents the latest research on neural network compression coding, deep learning algorithms, chip co-design and intelligent monitoring
Book Synopsis Empowering Industries: A Comprehensive Guide to SCADA Systems and Industrial Automation by : Charles Nehme
Download or read book Empowering Industries: A Comprehensive Guide to SCADA Systems and Industrial Automation written by Charles Nehme and published by Charles Nehme. This book was released on with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's interconnected world, the management and control of critical infrastructure and industrial processes have become paramount. Supervisory Control and Data Acquisition (SCADA) systems stand at the forefront of this technological revolution, enabling efficient monitoring, control, and optimization across various domains, from energy and utilities to manufacturing and transportation. This book, "Mastering SCADA Systems: A Comprehensive Guide," seeks to demystify the complexities surrounding SCADA technology while providing a practical and insightful resource for professionals, students, and enthusiasts alike. Whether you are an engineer, a technician, a researcher, or a decision-maker in industries relying on SCADA systems, this book aims to equip you with the knowledge and tools necessary to understand, implement, and leverage SCADA technology effectively. Our journey begins with an exploration of the fundamental concepts underlying SCADA systems, delving into their architecture, components, and operational principles. We will examine the intricate network of sensors, controllers, and communication protocols that form the backbone of SCADA infrastructure, laying the groundwork for deeper exploration. Throughout the chapters that follow, we will navigate the intricacies of SCADA system design, implementation, and integration, addressing critical considerations such as security, reliability, and scalability. Drawing upon real-world examples and case studies, we will uncover the diverse applications of SCADA technology across industries, from power plants and water treatment facilities to smart cities and beyond. As we embark on this journey, it is essential to recognize the evolving landscape of SCADA technology and the challenges it presents. From cybersecurity threats to regulatory compliance, the field of SCADA systems is constantly evolving, demanding continuous adaptation and innovation. By embracing emerging technologies such as the Internet of Things (IoT) and artificial intelligence, we can unlock new opportunities for efficiency, resilience, and sustainability within SCADA ecosystems. At its core, this book is a testament to the transformative power of SCADA technology and the collective expertise of professionals dedicated to its advancement. It is my hope that the insights, strategies, and best practices shared within these pages will empower you to navigate the complexities of SCADA systems with confidence and foresight. I extend my deepest gratitude to the countless individuals and organizations whose contributions have shaped the landscape of SCADA technology. It is through their innovation, dedication, and collaboration that we continue to push the boundaries of what is possible in the realm of industrial automation and control. May this book serve as a guiding light on your journey to mastering SCADA systems, empowering you to unlock new frontiers of efficiency, reliability, and resilience in the digital age.
Book Synopsis Industrial Edge Computing by : Xiaobo Zhou
Download or read book Industrial Edge Computing written by Xiaobo Zhou and published by Springer Nature. This book was released on with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book TRIVERGENCE written by Bob Tapscott and published by John Wiley & Sons. This book was released on 2024-01-15 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Breakthrough Introduction to The Next Phase of the Digital Age In Trivergence, Bob Tapscott, writer, speaker, complex system designer, and former CIO introduces an exciting new concept in explaining how the intersection of artificial intelligence (AI), blockchain, and the Internet of Things (IoT) will transform business and society. He explains the synergies between these technologies and the disruptive potential that they will offer, as well as the challenges and risks to making it happen. He offers an insightful guide through the difficult decisions that businesses and society must make to thrive in a new era where decisions will be difficult, and uncertainties abound. You'll discover how and why AI's power is now exploding, its growth driven by smarter approaches to neural networks trained on a new hardware architecture that can derive its intelligence from ever more massive datasets. You'll also find: Discussions of the multiplicative and exponential power of trivergence on the core technologies discussed in the book Explorations of IoT's tendency to bring the physical world to life as it harnesses the capabilities of AI and the blockchain How trivergence morphs Big Data into something new he calls “Infinite Data”, where thinking machines consider trillions of data points to generate their own content, value, and perspectives without programmed code or human intervention A fresh and innovative guide, rich with case stories, on how the most critical technologies of this new phase in the digital age are combining to drive business transformation, Trivergence will become a critical handbook for forward-looking leaders, and anyone interested in the intersection of cutting-edge tech and business.
Book Synopsis Secure Edge Computing for IoT by : Oluyemi James Odeyinka
Download or read book Secure Edge Computing for IoT written by Oluyemi James Odeyinka and published by Orange Education Pvt Ltd. This book was released on 2024-07-05 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Securing the Future of IoT with Advanced Edge Computing Solutions KEY FEATURES ● Tailored security protocols for edge computing, ensuring comprehensive protection against cyber threats. ● Master strategies for deploying, monitoring, and securing edge devices to maintain a resilient IoT ecosystem. ● Gain valuable insights from real-world examples, guiding you through the implementation of secure edge computing solutions across diverse industries. DESCRIPTION Embark on a journey into the cutting-edge world of secure edge computing. In this meticulously crafted handbook, delve deep into the intricacies of this transformative technology that is reshaping the landscape of computing. From its fundamental principles to advanced applications, this book leaves no stone unturned in demystifying the complexities of secure edge computing. Explore the architecture that underpins this paradigm shift, unraveling how it seamlessly integrates cloud resources with local devices to enhance efficiency and reliability. Dive into the nuances of security in edge computing, understanding the unique challenges posed by distributed networks and diverse endpoints. Learn essential strategies for safeguarding data integrity, confidentiality, and availability in this dynamic environment, ensuring robust protection against emerging threats. Discover real-world case studies and best practices from industry experts, gaining invaluable insights into deploying and managing secure edge computing solutions across various domains. With clear explanations, practical examples, and actionable advice, Secure Edge Computing For IoT empowers you to harness the full potential of this transformative technology while fortifying your digital infrastructure against evolving security risks. Prepare to embark on a journey of innovation and resilience at the edge of tomorrow’s computing landscape. WHAT WILL YOU LEARN ● Understand routing protocols and communication strategies tailored for edge environments. ● Implement measures to fortify edge infrastructure against cyber threats and safeguard sensitive data. ● Leverage real-time insights for informed decision-making and innovation. ● Integrate ML algorithms to enhance edge capabilities and optimize operations. ● Ensure reliability, scalability, and compliance with industry standards. ● Gain practical insights into the development process, from design to deployment. ● Protect edge infrastructure with encryption, authentication, and intrusion detection. ● Adhere to regulations and best practices in edge computing to ensure regulatory compliance and data privacy. ● Understand the components and architecture that underpin edge computing ecosystems. ● Explore practical examples and use cases from various industries to illustrate best practices and challenges in implementing secure edge computing solutions. WHO IS THIS BOOK FOR? This book is tailored for a diverse audience of IT professionals seeking to deepen their understanding of secure edge computing. It is particularly beneficial for DevOps engineers, system administrators, cloud architects, IoT developers, data analysts, and cybersecurity specialists. TABLE OF CONTENTS 1. Introduction to IoT and Edge Computing 2. Edge Computing Fundamentals and Use Cases 3. Edge Networking and Routing Protocols 4. IoT and Edge Computing Security 5. Data Analytics and Machine Learning at Edge 6. Secure Edge Design and Development 7. Secure Edge Penetration Testing and Incident Management 8. Edge Computing Cybersecurity and Cryptography 9. Cloud Computing in the Context of Edge Computing 10. Secure Edge Development and Implementation Index
Book Synopsis Mobile Edge Computing by : Yan Zhang
Download or read book Mobile Edge Computing written by Yan Zhang and published by Springer Nature. This book was released on 2021-10-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Book Synopsis Machine Vision for Industry 4.0 by : Roshani Raut
Download or read book Machine Vision for Industry 4.0 written by Roshani Raut and published by CRC Press. This book was released on 2022-03-23 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications. Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance. Features Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation Discusses a conceptual framework of machine vision for various industrial applications The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.
Book Synopsis The Convergence of Self-Sustaining Systems With AI and IoT by : Rajappan, Roopa Chandrika
Download or read book The Convergence of Self-Sustaining Systems With AI and IoT written by Rajappan, Roopa Chandrika and published by IGI Global. This book was released on 2024-04-26 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence in Industrial Applications by : Steven Lawrence Fernandes
Download or read book Artificial Intelligence in Industrial Applications written by Steven Lawrence Fernandes and published by Springer Nature. This book was released on 2021-12-07 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.
Book Synopsis Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning by : Sawyer D. Campbell
Download or read book Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning written by Sawyer D. Campbell and published by John Wiley & Sons. This book was released on 2023-08-03 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.
Book Synopsis Artificial Intelligence, Blockchain, Computing and Security Volume 1 by : Arvind Dagur
Download or read book Artificial Intelligence, Blockchain, Computing and Security Volume 1 written by Arvind Dagur and published by CRC Press. This book was released on 2023-10-23 with total page 1278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.
Download or read book TinyML written by Pete Warden and published by O'Reilly Media. This book was released on 2019-12-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
Book Synopsis Advanced Information Networking and Applications by : Leonard Barolli
Download or read book Advanced Information Networking and Applications written by Leonard Barolli and published by Springer Nature. This book was released on with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt:
