Intelligent Sensing and Communications for Internet of Everything

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Author :
Publisher : Academic Press
ISBN 13 : 0323903711
Total Pages : 358 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Intelligent Sensing and Communications for Internet of Everything by : Zhengyu Zhu

Download or read book Intelligent Sensing and Communications for Internet of Everything written by Zhengyu Zhu and published by Academic Press. This book was released on 2022-01-14 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Sensing and Communications for Internet of Everything introduces three application scenarios of enhanced mobile broadband (eMBB), large-scale machine connection (mMTC) and ultra reliable low latency communication (URLLC). A new communication model, namely backscatter communication (BackCom), intelligent reflector surface (IRS) and unmanned aerial vehicle (UAV) technology in Internet of Everything (IoE), is described in detail. Also focusing on millimeter wave, the book discusses the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Finally, the applications of IoE network in big data, artificial intelligence (AI) technology and fog/edge computing technology are proposed. Systematically introduces the technical standards and market analysis of 5G's three application scenarios, as well as the problems and challenges faced Provides readers with the knowledge of spectrum energy efficiency and cost-effective IoE network solutions Introduces the application of physical layer related technologies to the IoT, such as BackCom, IRS and UAV relay in IoE, and millimeter wave technology Discusses the potential application of terahertz 6G network spectrum in the IoT

Internet of Everything

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Author :
Publisher : Nova Science Publishers
ISBN 13 : 9781685078652
Total Pages : 0 pages
Book Rating : 4.0/5 (786 download)

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Book Synopsis Internet of Everything by : Kavitha

Download or read book Internet of Everything written by Kavitha and published by Nova Science Publishers. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) refers to a system of interconnected computing devices with sensors, processing ability, and software, which connect and communicate with other devices and systems over the internet or other networks. IoT technology enables applications that perform tasks without human-to-human or human-to-computer interaction, improving efficiency and generating new opportunities. IoT digitalises industries to improve product quality and cost and creates the potential for a fully networked, human-cantered society with healthy economic growth. The concept of Internet of Everything (IoE) goes beyond IoT to include the connections between people, things, data, and processes combined into a common interrelated system, leveraging human and artificial intelligence to improve decisions and experience, and represents the future of IoT technology. Internet of Everything: Smart Sensing Technologies addresses the forefront of study of IoE by presenting state-of-the-art research along with current and future challenges in building new, smart applications. Specific topics covered include sensing, connectivity and communication, knowledge extraction by discovering resources for modelling information, and security and privacy. The sixteen chapters of this book will benefit students, researchers, and others who are interested in the future of this exciting technology.

Intelligent Wireless Sensor Networks and the Internet of Things

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Author :
Publisher : CRC Press
ISBN 13 : 1040027121
Total Pages : 368 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Wireless Sensor Networks and the Internet of Things by : Bhanu Chander

Download or read book Intelligent Wireless Sensor Networks and the Internet of Things written by Bhanu Chander and published by CRC Press. This book was released on 2024-06-12 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN’s. the novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links faces the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs. This book: Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL models Explores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technology Based on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless system Explores intelligent route discovering, identification of research problems and its implications to the real world Explains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanity Explores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN system This book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approaches This book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Intelligent Data Sensing and Processing for Health and Well-being Applications

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Author :
Publisher : Academic Press
ISBN 13 : 0128123206
Total Pages : 316 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Intelligent Data Sensing and Processing for Health and Well-being Applications by : Miguel Antonio Wister Ovando

Download or read book Intelligent Data Sensing and Processing for Health and Well-being Applications written by Miguel Antonio Wister Ovando and published by Academic Press. This book was released on 2018-07-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow’s IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments

Smart Sensors for Industrial Internet of Things

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Author :
Publisher : Springer Nature
ISBN 13 : 3030526240
Total Pages : 313 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Smart Sensors for Industrial Internet of Things by : Deepak Gupta

Download or read book Smart Sensors for Industrial Internet of Things written by Deepak Gupta and published by Springer Nature. This book was released on 2021-02-01 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security. By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.

Multimodal Intelligent Sensing in Modern Applications

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Author :
Publisher : Wiley-IEEE Press
ISBN 13 : 9781394257713
Total Pages : 0 pages
Book Rating : 4.2/5 (577 download)

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Book Synopsis Multimodal Intelligent Sensing in Modern Applications by : Masood Ur Rehman

Download or read book Multimodal Intelligent Sensing in Modern Applications written by Masood Ur Rehman and published by Wiley-IEEE Press. This book was released on 2025-04-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the design, implementation, and analytical techniques for multi-modal intelligent sensing in this cutting-edge text The Internet of Things (IoT) is becoming ever more comprehensively integrated into everyday life. The intelligent systems that power smart technologies rely on increasingly sophisticated sensors in order to monitor inputs and respond dynamically. Multi-modal sensing offers enormous benefits for these technologies, but also comes with greater challenges; it has never been more essential to offer energy-efficient, reliable, interference-free sensing systems for use with the modern Internet of Things. Multimodal Intelligent Sensing in Modern Applications provides an introduction to systems which incorporate multiple sensors to produce situational awareness and process inputs. It is divided into three parts—physical design aspects, data acquisition and analysis techniques, and security and energy challenges—which together cover all the major topics in multi-modal sensing. The result is an indispensable volume for engineers and other professionals looking to design the smart devices of the future. Multimodal Intelligent Sensing in Modern Applications readers will also find: A field of multidisciplinary contributors in fields like wireless communications, signal processing, and sensor design Coverage of both software and hardware solutions to sensing challenges Detailed treatment of advanced topics like efficient deployment, data fusion, machine learning, and more Multimodal Intelligent Sensing in Modern Applications is ideal for experienced engineers and designers who need to apply their skills to Internet of Things and 5G/6G networks. It can also act an introductory text for graduate researchers into understanding the background, design, and implementation of various sensor types and data analytics tools.

Smart Sensors at the IoT Frontier

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Author :
Publisher : Springer
ISBN 13 : 3319553453
Total Pages : 374 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Smart Sensors at the IoT Frontier by : Hiroto Yasuura

Download or read book Smart Sensors at the IoT Frontier written by Hiroto Yasuura and published by Springer. This book was released on 2017-05-29 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoT). The authors provide a multidisciplinary view of sensor technology from materials, process, circuits, to big data domains and they showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.

AIoT and Smart Sensing Technologies for Smart Devices

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 266 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AIoT and Smart Sensing Technologies for Smart Devices by : Al-Turjman, Fadi

Download or read book AIoT and Smart Sensing Technologies for Smart Devices written by Al-Turjman, Fadi and published by IGI Global. This book was released on 2024-02-07 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advancement of IoT and smart technologies poses significant challenges for academic scholars, including meeting new requirements such as reliability, quality of service, and energy efficiency. AIoT and Smart Sensing Technologies for Smart Devices, edited by Fadi ALTURJMAN, offers an invaluable solution by serving as a knowledge hub that brings together diverse research and professional contributions. This comprehensive book enables scholars to delve into topics like IoT-oriented applications, sustainable development, machine learning, and wireless networks, providing the necessary insights to navigate the complexities of IoT and smart technologies. Targeted at experts, researchers, and students, this book equips readers with the understanding needed to tackle the challenges in this dynamic field. Covering areas such as IoT paradigms, network security, machine learning approaches, and wireless network protocols, it serves as a guide for unlocking the potential of AIoT. With this resource, scholars can stay informed, explore innovative approaches, and actively contribute to the advancement of AIoT and smart technologies, making it a compelling solution for those grappling with the complexities of this transformative field.

A Beginner's Guide to Data Agglomeration and Intelligent Sensing

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Author :
Publisher : Academic Press
ISBN 13 : 0128203412
Total Pages : 198 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis A Beginner's Guide to Data Agglomeration and Intelligent Sensing by : Amartya Mukherjee

Download or read book A Beginner's Guide to Data Agglomeration and Intelligent Sensing written by Amartya Mukherjee and published by Academic Press. This book was released on 2020-03-02 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems. Presents the latest advances in data agglomeration for intelligent sensing Discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning

Smart Wireless Sensing

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Author :
Publisher : Springer Nature
ISBN 13 : 9811656584
Total Pages : 238 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Smart Wireless Sensing by : Zheng Yang

Download or read book Smart Wireless Sensing written by Zheng Yang and published by Springer Nature. This book was released on 2021-10-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perception of human beings has evolved from natural biosensor to powerful sensors and sensor networks. In sensor networks, trillions of devices are interconnected and sense a broad spectrum of contexts for human beings, laying the foundation of Internet of Things (IoT). However, sensor technologies have several limitations relating to deployment cost and usability, which render them unacceptable for practical use. Consequently, the pursuit of convenience in human perception necessitates a wireless, sensorless and contactless sensing paradigm. Recent decades have witnessed rapid developments in wireless sensing technologies, in which sensors detect wireless signals (such as acoustic, light, and radio frequency) originally designed for data transmission or lighting. By analyzing the signal measurements on the receiver end, channel characteristics can be obtained to convey the sensing results. Currently, significant effort is being devoted to employing the ambient Wi-Fi, RFID, Bluetooth, ZigBee, and television signals for smart wireless sensing, eliminating the need for dedicated sensors and promoting the prospect of the Artificial Intelligence of Things (AIoT). This book provides a comprehensive and in-depth discussion of wireless sensing technologies. Specifically, with a particular focus on Wi-Fi-based sensing for understanding human behavior, it adopts a top-down approach to introduce three key topics: human detection, localization, and activity recognition. Presenting the latest advances in smart wireless sensing based on an extensive review of state-of-the-art research, it promotes the further development of this area and also contributes to interdisciplinary research.

Intelligent Wireless Sensor Networks and Internet of Things

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Author :
Publisher :
ISBN 13 : 9781032764979
Total Pages : 0 pages
Book Rating : 4.7/5 (649 download)

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Book Synopsis Intelligent Wireless Sensor Networks and Internet of Things by : Bhanu Chander

Download or read book Intelligent Wireless Sensor Networks and Internet of Things written by Bhanu Chander and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN's. The novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links face the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs. This text: Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL models. Explores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technology. Based on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless system. Explores intelligent route discovering, identification of research problems and its implications to the real world. Explains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanity. Explores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN system. This book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approaches. This book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology"--

Wireless AI

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1108571026
Total Pages : 623 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Wireless AI by : K. J. Ray Liu

Download or read book Wireless AI written by K. J. Ray Liu and published by Cambridge University Press. This book was released on 2019-10-03 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications.

Green Internet of Things Sensor Networks

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Author :
Publisher : Springer Nature
ISBN 13 : 3030549836
Total Pages : 128 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Green Internet of Things Sensor Networks by : Adamu Murtala Zungeru

Download or read book Green Internet of Things Sensor Networks written by Adamu Murtala Zungeru and published by Springer Nature. This book was released on 2020-10-14 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents methods for advancing green IoT sensor networks and IoT devices. Three main methods presented are: a standalone system to support IoT devices that is informed by the amount of energy the solar array system can produce; a model of securing a building's main power supply against unauthorized use; and security of the IoT devices and their networks. For each, the authors outline the methods, presents security and privacy issues, and their solutions. The work suggests a layered approach to expose security issues and challenges at each layer of the IoT architecture and proposes techniques used to mitigate these challenges. Finally, perspectives are drawn and discussed for future directions in securing IoT sensor networks, covering evolving areas such as artificial intelligence, blockchain technology, sensor Internet of People, context-aware sensing, cloud infrastructure, security and privacy, and the Internet of Everything.

Evolution of Smart Sensing Ecosystems with Tamper Evident Security

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Author :
Publisher : Springer Nature
ISBN 13 : 3030777642
Total Pages : 158 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Evolution of Smart Sensing Ecosystems with Tamper Evident Security by : Pawel Sniatala

Download or read book Evolution of Smart Sensing Ecosystems with Tamper Evident Security written by Pawel Sniatala and published by Springer Nature. This book was released on 2021-11-30 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview on security and privacy issues in dynamic sensor networks and Internet of Things (IoT) networks and provides a novel tamper evident technique to counter and defend against these security related issues. The mission of this book is to explain the evolution of techniques and strategies in securing information transfer and storage thus facilitating a digital transition towards the modern tamper evident systems. The goal is also to aid business organizations that are dependent on the analysis of the large volumes of generated data in securing and addressing the associated growing threat of attackers relentlessly waging attacks and the challenges in protecting the confidentiality, integrity and provenance of data. The book also provides a comprehensive insight into the secure communication techniques and tools that have evolved and the impact they have had in supporting and flourishing the business through the cyber era. This book also includes chapters that discuss the most primitive encryption schemes to the most recent use of homomorphism in ensuring the privacy of the data thus leveraging greater use of new technologies like cloud computing and others.

Artificial Intelligence Applications for Smart Societies

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Author :
Publisher : Springer Nature
ISBN 13 : 3030630684
Total Pages : 249 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence Applications for Smart Societies by : Mohamed Elhoseny

Download or read book Artificial Intelligence Applications for Smart Societies written by Mohamed Elhoseny and published by Springer Nature. This book was released on 2021-04-27 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIS tools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications.

Cognitive Hyperconnected Digital Transformation

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Author :
Publisher : CRC Press
ISBN 13 : 1000791823
Total Pages : 226 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Cognitive Hyperconnected Digital Transformation by : Ovidiu Vermesan

Download or read book Cognitive Hyperconnected Digital Transformation written by Ovidiu Vermesan and published by CRC Press. This book was released on 2022-09-01 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business.

Smart Sensors for Industry 4.0

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1394214707
Total Pages : 260 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Smart Sensors for Industry 4.0 by : Brojo Kishore Mishra

Download or read book Smart Sensors for Industry 4.0 written by Brojo Kishore Mishra and published by John Wiley & Sons. This book was released on 2024-07-26 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era. Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industry 4.0 is more flexible and agile in dealing with several risk factors, further enabling improved productivity and efficiency, distribution, increased profitability, data integrity, and enhancing customer experience in the current commercial environment. For understanding and analyzing the environment, sensors play a major role in performing the measurements based on computation-produced results from the surrounding environment. Sensors have a wide range of applications for smart industrial operations. The evolution of flexible, low-cost, and multipurpose sensors and their system integration has been examined to develop advanced devices with applications in numerous fields of technology. With the development of both the Internet of Things (IoT) and the Industrial IoT (IIoT), advanced sensors and their associated applications are developing, resulting in the necessity for IoT sensors to be used for several industrial applications. Beneficial aspects of this book include: The latest research in materials and methodology for the fabrication of intelligent sensors, its IoT system integration, and IIoT applications are brought together; Promotes a vision towards making sensor-based monitoring and control of smart industry; Recent advances and challenges of smart sensors are discussed with an emphasis on unmet challenges and future directions of a roadmap to Industry 4.0. Audience This book is highly recommended to a wide range of researchers and industry engineers working in the area of fabrication and integration of industrial smart sensors for IIoT applications, advanced materials for sensor technology, fabrication and characterization of IoT sensors, development of low-cost sensors, sensor system design and integration, and its industrial applications. Post-graduate students from different streams like computer science, electronics and electrical engineering, information technology, electronic communication, etc. will benefit from reading this book.