Smart-Grid in IoT-enabled Spaces, Al-Turjman, Fadi
Автор: Minei Название: MPLS-Enabled Applications ISBN: 0470665459 ISBN-13(EAN): 9780470665459 Издательство: Wiley Рейтинг: Цена: 8229.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a foreword by Yakov Rekhter "Here at last is a single, all encompassing resource where the myriad applications sharpen into a comprehensible text that first explains the whys and whats of each application before going on to the technical detail of the hows.
Автор: Franco Davoli; Norbert Meyer; Roberto Pugliese; Sa Название: Grid Enabled Remote Instrumentation ISBN: 0387096620 ISBN-13(EAN): 9780387096629 Издательство: Springer Рейтинг: Цена: 39182.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on a number of aspects related to the exploitation of remote instrumentation on the grid. This book includes middleware architecture, high speed networking in support of grid applications, wireless grid for acquisition devices and sensor networks, quality of service provisioning for real time control, and measurement instrumentation.
Автор: Fadi Al-Turjman Название: Drones in IoT-enabled Spaces ISBN: 0367266385 ISBN-13(EAN): 9780367266387 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Поставка под заказ.
Описание: This book addresses major issues and challenges in drone-based solutions proposed for IoT-enabled cellular/computer networks, routing/communication protocols, surveillances applications, secured data management, and positioning approaches. It focuses mainly on smart and context-aware implementations.
Название: Security in IoT-enabled Spaces ISBN: 0367111233 ISBN-13(EAN): 9780367111236 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses major security aspects and challenges in realizing smart spaces and sensing platforms in critical Cloud and IoT applications.
Автор: Al-turjman, Fadi Название: Cloud in iot-enabled spaces ISBN: 0367278146 ISBN-13(EAN): 9780367278144 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Поставка под заказ.
Описание: This book considers significant research topics concerning the Cloud enabled with IoT features. It addresses major issues and challenges in IoT-based solutions proposed for the Cloud.
Описание: The book covers a variety of topics in Information and Communications Technology (ICT) and their impact on innovation and business. The authors discuss various innovations, business and industrial motivations, and impact on humans and the interplay between those factors in terms of finance, demand, and competition. Topics discussed include the convergence of Machine to Machine (M2M), Internet of Things (IoT), Social, and Big Data. They also discuss AI and its integration into technologies from machine learning, predictive analytics, security software, to intelligent agents, and many more. Contributions come from academics and professionals around the world.
Covers the most recent practices in ICT related topics pertaining to technological growth, innovation, and business;Presents a survey on the most recent technological areas revolutionizing how humans communicate and interact;Features four sections: IoT, Wireless Ad Hoc & Sensor Networks, Fog Computing, and Big Data Analytics.
Автор: Yang Yang; Xiliang Luo; Xiaoli Chu; Ming-Tuo Zhou Название: Fog-Enabled Intelligent IoT Systems ISBN: 3030231844 ISBN-13(EAN): 9783030231842 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized.
Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public servicesPresents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledgeOutlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services
Автор: Yulei Wu, Haojun Huang, Cheng-Xiang Wang, Yi Pan Название: 5G-Enabled Internet of Things ISBN: 0367190109 ISBN-13(EAN): 9780367190101 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Поставка под заказ.
Описание: This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the integration of 5G enabling technologies into IoTs in support of a smart 5G-enabled IoT paradigm.
Автор: Franco Davoli; Norbert Meyer; Roberto Pugliese; Sa Название: Grid Enabled Remote Instrumentation ISBN: 1441935061 ISBN-13(EAN): 9781441935069 Издательство: Springer Рейтинг: Цена: 32651.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Grid architectures, which are viewed as tools for the integration of distributed resources, play a significant role as managers of computational resources. This book focuses on a number of aspects related to the effective exploitation of remote instrumentation on the grid.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Автор: Mart?nez, Clara Marina Название: iHorizon-Enabled Energy Management for Electrified Vehicles ISBN: 0128150106 ISBN-13(EAN): 9780128150108 Издательство: Elsevier Science Рейтинг: Цена: 19370.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
iHorizon-Enabled Energy Management for Electrified Vehicles proposes a realistic solution that assumes only scarce information is available prior to the start of a journey and that limited computational capability can be allocated for energy management. This type of framework exploits the available resources and closely emulates optimal results that are generated with an offline global optimal algorithm. In addition, the authors consider the present and future of the automotive industry and the move towards increasing levels of automation. Driver vehicle-infrastructure is integrated to address the high level of interdependence of hybrid powertrains and to comply with connected vehicle infrastructure.
This book targets upper-division undergraduate students and graduate students interested in control applied to the automotive sector, including electrified powertrains, ADAS features, and vehicle automation.
Addresses the level of integration of electrified powertrains
Presents the state-of-the-art of electrified vehicle energy control
Offers a novel concept able to perform dynamic speed profile and energy demand prediction
Автор: Al-Turjman Название: Intelligence in IoT-enabled Smart Cities ISBN: 1138316849 ISBN-13(EAN): 9781138316843 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the major challenges in realizing intelligence in smart cities and sensing platforms in the era of cloud computing and IoT varying from cost and energy efficiency to availability and service quality
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