Описание: This book presents an overview of artificial intelligence (AI) in the automotive section, especially in the modern era of green energy-based electrification of vehicles and smart transportation systems. The book also discusses different Internet of Things aspects involved in the automotive domain with AI. The book presents autonomous driving systems, advanced driver assistance systems (ADAS), autonomy, AI involvement, and machine learning techniques with challenges in electrification, prognostics, and diagnostics. AI and IoT are two emerging technologies, and their importance in other modern technology electrification on transportation, connected vehicle segment are discussed thoroughly in this book with different topologies. It also presents AI applications in the charging profile prediction, state of charge, state of health, battery lifetime, and battery temperature detection in dynamic conditions. Different algorithms are also given in the book to discuss the nearest point charging station for electric vehicle users. The book also discusses cybersecurity issues and challenges in the real-time environment for AI implementation, IoT in transportation, and autonomous driving. The other aspects of telematics, smart sensors for the implementation of the IoT, and AI are also discussed, especially in guidance and control aspects. The book will be useful for the researchers, practitioners, and industry people working in AI, IoT in the electrification and transportation segment.
Описание: MPLS holds the key to network convergence. "Here, at last is a single, all-encompassing resource where the myriad applications sharpen into a comprehensible text." - Kireeti Kompella, Juniper Fellow, Juniper Networks. "This should be the textbook for MPLS courses, both for training of experienced networking professionals and for universities." - Loa Andersson, Acreo AB, IAB-member and IETF MPLS working group co-chair. "MPLS-Enabled Applications is a must-read for anyone involved in enterprise or service-provider networks." - Dave Cooper, Sr. Manager IP Engineering, Global Crossing, Ltd. The capability of Multiprotocol Label Switching (MPLS) to identifyaffic based on its label at forwarding time, coupled with its ability to force traffic down pre-established paths, has created a whole range of new applications while enabling scaling of existing applications. To highlight the emerging developments, Ina Minei and Julian Lucek cover traffic engineering, L3VPNs (Layer 3 Virtual Private Networks), pseudowires, VPLS (Virtual Private LAN Service), and much more. They methodically illustrate how MPLS holds the key to network convergence by allowing operators to offer more services over a single physical infrastructure and how it can reduce the cost of the network by streamlining operations. With over a hundred illustrations and thirteen in-depth chapters MPLS-Enabled Applications documents why MPLS is now considered the networking technology for carrying all types of network traffic, including voice telephony, real-time video, and the many types of data traffic. "MPLS-Enabled Applications": provides an authoritative, comprehensive overview of the current status and future potential of MPLS applications, including the latest IETF drafts; examines all the major applications, including L3VPN, L2VPN, VPLS and pseudowires; explains how to apply MPLS and tailor it to fit specific scenarios; examines the scaling requirements of equipment at different points in the network under different deployment scenarios; offers inclusive coverage of point-to-multipoint label switched paths, DiffServ-aware traffic engineering and QoS, inter-domain traffic engineering and path computation elements, route target filtering, and the latest developments in multicast support for L3VPNs; covers the management and troubleshooting of MPLS networks and associated services, to enable high availability. "MPLS--Enabled Applications" will provide those involved in the design and deployment of MPLS systems, as well as those researching the area of MPLS networks, with a thoroughly modern view of how MPLS is transforming the networking world.
Автор: Prasant Kumar Pattnaik Название: Smart Healthcare Analytics in IoT Enabled Environment ISBN: 3030375501 ISBN-13(EAN): 9783030375508 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.
Автор: Jayakody Dushantha Nalin K., Srinivasan Kathiravan, Sharma Vishal Название: 5g Enabled Secure Wireless Networks ISBN: 3030035077 ISBN-13(EAN): 9783030035075 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers issues related to 5G network security. The authors start by providing details on network architecture and key requirements. They then outline the issues concerning security policies and various solutions that can handle these policies. Use of SDN-NFV technologies for security enhancement is also covered. The book includes intelligent solutions by utilizing the features of artificial intelligence and machine learning to improve the performance of the 5G security protocols and models. Optimization of security models is covered as a separate section with a detailed information on the security of 5G-based edge, fog, and osmotic computing. This book provides detailed guidance and reference material for academicians, professionals, and researchers.
Presents extensive information and data on research and challenges in 5G networks;Covers basic architectures, models, security frameworks, and software-defined solutions for security issues in 5G networks;Provides solutions that can help in the growth of new startups as well as research directions concerning the future of 5G networks.
Автор: Gupta, Govind P. Название: Big Data Analytics in Fog-Enabled IoT Networks ISBN: 1032206446 ISBN-13(EAN): 9781032206448 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Hosseini Название: Technology-Enabled Innovations in Education ISBN: 9811933820 ISBN-13(EAN): 9789811933820 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains peer-reviewed selected papers of the 7th International Conference on Educational Innovation (CIIE 2020). It presents excellent educational practices and technologies complemented by various innovative approaches that enhance educational outcomes. In line with the Sustainable Development Goal 4 of UNESCO in the 2030 agenda, CIIE 2020 has attempted to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.” The CIIE 2020 proceeding offers diverse dissemination of innovations, knowledge, and lessons learned to familiarize readership with new pedagogical-oriented, technology-driven educational strategies along with their applications to emphasize their impact on a large spectrum of stakeholders including students, teachers and professors, administrators, policymakers, entrepreneurs, governments, international organizations, and NGOs.
Автор: Ibrahim Yitmen Название: Bim-enabled cognitive computing for smart built environment ISBN: 0367861836 ISBN-13(EAN): 9780367861834 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book brings together the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment, and focuses on the potential, requirements and implementation of cognitive Internet of Things (CIoT) paradigm to buildings.
Автор: Huang, Dijiang Chowdhary, Ankur Pisharody, Sandeep Название: Software-defined networking and security ISBN: 036778064X ISBN-13(EAN): 9780367780647 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book seeks to educate the reader regarding Cyber Maneuver or Adaptive Cyber Defense.
Автор: Stefan Klein; Angeliki Poulymenakou Название: Managing Dynamic Networks ISBN: 3642064728 ISBN-13(EAN): 9783642064722 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In order to investigate the new realities created by technology-enabled forms of network organizations and to address the emerging managerial challenges, this book introduces an integrative view on inter-firm network management.
Автор: Das Sanjoy, Rao Ram Shringar, Das Indrani Название: Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks ISBN: 0367754428 ISBN-13(EAN): 9780367754426 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The reference text covers big data concept in cloud based Wireless Ad hoc network and machine learning approaches in a single volume. It will be an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering.
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.
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