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.
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.
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.
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
Описание: Use Your Creativity to Respond to God's Word This single-column, wide-margin New Living Translation Bible has 2.25" lightly ruled margins, making this Bible great for note-taking, journaling, recording prayers, doodling, drawing, or any other creative expression in response to God's Word.
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Enhance Your Bible Studying through the Free Filament App NLT Wide Margin Bible, Filament-Enabled Edition is the only journaling Bible with access to the Filament Bible app, which features thousands of study notes, devotionals, videos, reading plans, and more!
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The New Living Translation is a clear and trusted English translation of the Bible. It conveys the precise meaning of the original languages in a flowing, effortless writing style that promotes comfortable and meaningful reading.
Автор: Al-Turjman, Fadi Название: Smart-Grid in IoT-enabled Spaces ISBN: 0367517884 ISBN-13(EAN): 9780367517885 Издательство: Taylor&Francis Рейтинг: Цена: 15312.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, we consider the most significant and emergent research topics in this domain, addressing major issues and challenges in IoT-based solutions proposed for the smart grid. The chapters provide insight on comprehensive topics in IoT-based smart grid, combining technical aspects with the most up to date theory.
Автор: Kaleekkal, Noel Jacob Название: Nano-Enabled Technologies For Water Remediation ISBN: 0323854451 ISBN-13(EAN): 9780323854450 Издательство: Elsevier Science Рейтинг: Цена: 40424.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Supervision in Neuropsychology offers a review of theoretical, practical, and ethical considerations for professionals providing supervision in clinical neuropsychology. The book covers competency, structural and practical issues, ethical considerations, diversity and inclusion in supervision, future challenges, and more. It concludes with 8 appendices for easy reference.
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: 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.
Название: Nano-Enabled Medical Applications ISBN: 9814800325 ISBN-13(EAN): 9789814800327 Издательство: Taylor&Francis Рейтинг: Цена: 29552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is the second in a series presenting articles that received the most citations in recent years in nanomedicine. The series is edited by a prominent nanotechnology researcher and editor-in-chief of Precision Nanomedicine. The theme of the second volume is about nano-enabled medical applications.
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