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Author: Honghao Gao
Publisher: Springer Nature
ISBN: 3030992004
Category : Computers
Languages : en
Pages : 569
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Book Description
This proceedings constitutes the refereed proceedings of the 16th International Conference on Communications and Networking, ChinaCom 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 47 full papers and 5 workshop papers presented were carefully selected from 130 submissions. The papers are organized in topical sections on Scheduling and Transmission Optimization in Edge Computing; Complex System Optimization in Edge Computing; Network Communication Enhancement; Signal Processing and Communication Optimization; Deep Learning and Vehicular Communication; Edge Computing and Deep Learning; Finite Blocklength and Distributed Machine Learning; Deep Learning and Network Performance Optimization; Edge Computing and Reinforcement Learning.
Author: Honghao Gao
Publisher: Springer Nature
ISBN: 3030992004
Category : Computers
Languages : en
Pages : 569
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Book Description
This proceedings constitutes the refereed proceedings of the 16th International Conference on Communications and Networking, ChinaCom 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 47 full papers and 5 workshop papers presented were carefully selected from 130 submissions. The papers are organized in topical sections on Scheduling and Transmission Optimization in Edge Computing; Complex System Optimization in Edge Computing; Network Communication Enhancement; Signal Processing and Communication Optimization; Deep Learning and Vehicular Communication; Edge Computing and Deep Learning; Finite Blocklength and Distributed Machine Learning; Deep Learning and Network Performance Optimization; Edge Computing and Reinforcement Learning.
Author: Chandan Banerjee
Publisher: John Wiley & Sons
ISBN: 1394175329
Category : Computers
Languages : en
Pages : 391
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Book Description
FOG COMPUTING FOR INTELLIGENT CLOUD IOT SYSTEMS This book is a comprehensive guide on fog computing and how it facilitates computing, storage, and networking services Fog computing is a decentralized computing structure that connects data, devices, and the cloud. It is an extension of cloud computing and is an essential concept in IoT (Internet of Things), as it reduces the burden of processing in cloud computing. It brings intelligence and processing closer to where the data is created and transmitted to other sources. Fog computing has many benefits, such as reduced latency in processing data, better response time that helps the user’s experience, and security and privacy compliance that assures protecting the vital data in the cloud. It also reduces the cost of bandwidth, because the processing is achieved in the cloud, which reduces network bandwidth usage and increases efficiency as user devices share data in the local processing infrastructure rather than the cloud service. Fog computing has various applications across industries, such as agriculture and farming, the healthcare industry, smart cities, education, and entertainment. For example, in the agriculture industry, a very prominent example is the SWAMP project, which stands for Smart Water Management Platform. With fog computing’s help, SWAMP develops a precision-based smart irrigation system concept used in agriculture, minimizing water wastage. This book is divided into three sections. The first section studies fog computing and machine learning, covering fog computing architecture, application perspective, computational offloading in mobile cloud computing, intelligent Cloud-IoT systems, machine learning fundamentals, and data visualization. The second section focuses on applications and analytics, spanning various applications of fog computing, such as in healthcare, Industry 4.0, cancer cell detection systems, smart farming, and precision farming. This section also covers analytics in fog computing using big data and patient monitoring systems, and the emergence of fog computing concerning applications and potentialities in traditional and digital educational systems. Security aspects in fog computing through blockchain and IoT, and fine-grained access through attribute-based encryption for fog computing are also covered. Audience The book will be read by researchers and engineers in computer science, information technology, electronics, and communication specializing in machine learning, deep learning, the cyber world, IoT, and security systems.
Author: Nurul Huda Mahmood
Publisher: Springer Nature
ISBN: 3030514730
Category : Technology & Engineering
Languages : en
Pages : 304
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Book Description
This book provides a comprehensive overview of the most relevant research and standardization results in the area of wireless networking for Industrial IoT, covering both critical and massive connectivity. Most chapters in this book are intended to serve as short tutorials of particular topics, highlighting the main developments and ideas, as well as giving an outlook of the upcoming research challenges. The book is divided into four parts. The first part focuses on challenges, enablers and standardization efforts for reliable low-latency communication in Industrial IoT networks. The next part focuses on massive IoT, which requires cost- and energy-efficient technology components to efficiently connect a massive number of low-cost IoT devices. The third part covers three enabling technologies in the context of Industrial IoT: Security, Machine Learning/Artificial Intelligence and Edge Computing. These enablers are applicable to both connectivity types, critical and massive IoT. The last part covers aspects of Industrial IoT related to connected transportation that are important in, for example, warehouse and port logistics, product delivery and transportation among industries. Presents a comprehensive guide to concepts and research challenges in wireless networking for Industrial IoT; Includes an introduction and overview of such topics as 3GPP standardization for Industrial IoT, Time Sensitive Networking, system dependability over wireless networks, energy-efficient wireless networks, IoT security, ML/AI for Industrial IoT and connected transportation systems; Features contributions by well-recognized experts from both academia and industry.
Author: Hassan, Jahan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 425
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Book Description
Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.
Author: Abrar Ullah
Publisher: Springer Nature
ISBN: 981998324X
Category :
Languages : en
Pages : 629
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Book Description
Author: Cornel Klein
Publisher: Springer Nature
ISBN: 3031374703
Category : Computers
Languages : en
Pages : 181
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Book Description
This book constitutes the refereed post-conference proceedings of the 11th International Conference on Smart Cities and Green ICT Systems and 8th International Conference on Vehicle Technology and Intelligent Transport Systems, SMARTGREENS 2022 and VEHITS 2022 was held Virtually on April 27–29, 2022. The 7 full papers included in this book were carefully reviewed and selected from 80 submissions. They were organized in topical sections as follows:smart cities and green ICT systems and vehicle technology and intelligent transport systems.
Author: Faisal Tariq
Publisher: CRC Press
ISBN: 100088242X
Category : Technology & Engineering
Languages : en
Pages : 354
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Book Description
6G Wireless: The Communication Paradigm Beyond 2030 offers a thorough discussion of some key emerging technologies such as Intelligent Reflecting Surface (IRS), Unmanned Aerial Vehicles (UAV), Aerial Computing, Terahertz (THz) Communications, Non-Orthogonal Multiple Access (NOMA) and Rate Splitting Multiple Access (RSMA). The book provides a comprehensive coverage of the vision, requirements, use cases, enabling technologies, and challenges for the future 6G wireless communication systems. This includes discussions on how 6G and future IoT systems will enable extremely low latency healthcare systems, smart industry, haptic communications, programmable wireless environment (PWE), advanced VR/AR and holographic communications. IRS is expected to play a prominent role in 6G and the book thoroughly discusses the role of IRS in enabling physical layer security, UAV communications as well as D2D communications. It also explains channel modeling for IRS enabled PWE. Another key aspect of the book is that it provides a comprehensive discussion on security challenges of emerging 6G systems and their potential solutions. Apart from this, it also explains how blockchain techniques can be used for future IoT applications such as intelligent manufacturing and asset tracking. Written in tutorial style, the book is primarily intended for postgraduate students and researchers in the broad domain of wireless communications as well as research-active academics. The book can also be useful as a reference book for BSc/MSc project/thesis works.
Author: Deepak Gupta
Publisher: Academic Press
ISBN: 0323858104
Category : Science
Languages : en
Pages : 194
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Book Description
Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development focuses on recent advances and benefits of wearable telemedicine techniques for remote health monitoring and prevention of chronic conditions, providing real time feedback and help with rehabilitation and biomedical applications. Readers will learn about various techniques used by software engineers, computer scientists and biomedical engineers to apply intelligent systems, artificial intelligence, machine learning, virtual reality and augmented reality to gather, transmit, analyze and deliver real-time clinical and biological data to clinicians, patients and researchers. Wearable telemedicine technology is currently establishing its place with large-scale impact in many healthcare sectors because information about patient health conditions can be gathered anytime and anywhere outside of traditional clinical settings, hence saving time, money and even lives. - Provides readers with methods and applications for wearable devices for ubiquitous health and activity monitoring, wearable biosensors, wearable app development and management using machine learning techniques, and more - Integrates coverage of a number of key wearable technologies, such as ubiquitous textile systems for movement disorders, remote surgery using telemedicine, intelligent computing algorithms for smart wearable healthcare devices, blockchain, and more - Provides readers with in-depth coverage of wearable product design and development
Author: Nicholas Kolokotronis
Publisher: CRC Press
ISBN: 1000366618
Category : Technology & Engineering
Languages : en
Pages : 395
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Book Description
Cyber-Security Threats, Actors, and Dynamic Mitigation provides both a technical and state-of-the-art perspective as well as a systematic overview of the recent advances in different facets of cyber-security. It covers the methodologies for modeling attack strategies used by threat actors targeting devices, systems, and networks such as smart homes, critical infrastructures, and industrial IoT. With a comprehensive review of the threat landscape, the book explores both common and sophisticated threats to systems and networks. Tools and methodologies are presented for precise modeling of attack strategies, which can be used both proactively in risk management and reactively in intrusion prevention and response systems. Several contemporary techniques are offered ranging from reconnaissance and penetration testing to malware detection, analysis, and mitigation. Advanced machine learning-based approaches are also included in the area of anomaly-based detection, that are capable of detecting attacks relying on zero-day vulnerabilities and exploits. Academics, researchers, and professionals in cyber-security who want an in-depth look at the contemporary aspects of the field will find this book of interest. Those wanting a unique reference for various cyber-security threats and how they are detected, analyzed, and mitigated will reach for this book often.
Author: Govind Singh Patel
Publisher: CRC Press
ISBN: 1000327876
Category : Technology & Engineering
Languages : en
Pages : 222
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Book Description
This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.
