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.
Описание: Presents research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academics, practitioners, researchers, and students.
Описание: As technology grows more effective and refined, businesses and organizations are increasingly taking advantage by automating processes that were once presided over by human workers. As businesses explore the benefits of machine learning, research is necessary to examine the effects of the integration of technology to human workplaces.
Advancing Skill Development for Business Managers in Industry 4.0: Emerging Research and Opportunities is an essential publication that examines Industry 4.0 and the important technological applications that revolutionize and disrupt modern organizations, such as artificial intelligence, machine learning, and programming languages, such as Python, to contextualize big data in business and frame the skills necessary for a high-performing modern workforce. The book provides a conceptual framework, analysis, and discussion of the issues concerning organizational behavior through the lens of organizational culture and emotions. Covering topics that include data-driven organizations, the digital business models, and leadership techniques, this book is ideally designed for managers, executives, IT specialists, computer engineers, data scientists, researchers, academicians, and students.
Автор: Siddhartha Bhattacharyya; Sushmita Mitra; Paramart Название: Intelligence Enabled Research ISBN: 9811520208 ISBN-13(EAN): 9789811520204 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India).
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.
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: Prabhu, Nagabhushana Название: Design and Construction of an RFID-enabled Infrastructure ISBN: 036737918X ISBN-13(EAN): 9780367379186 Издательство: Taylor&Francis Рейтинг: Цена: 10104.00 р. Наличие на складе: Поставка под заказ.
Описание:
Internet 2.0 (previously called the Internet of Things) presents a tantalizing vision of bridging the cyber and physical worlds to forge a seamless planet-wide infrastructure in which cyber resources and physical objects can interact without human intervention. The technology needed to build the infrastructure already exists. However, more than a decade after the vision of Internet 2.0 was articulated, it remains largely unrealized except in isolated settings.
Following a background discussion, Design and Construction of an RFID-enabled Infrastructure: the Next Avatar of the Internet addresses three questions: what are the barriers to the emergence of Internet 2.0 as a global infrastructure? What are the features that Internet 2.0 architecture must have if it is to become a successful global infrastructure?How can one build a prototype of Internet 2.0?
The quest for answers to the above questions threads the narrative through the birthing process and maturation of two successful global infrastructures--the Internet and the web. Based on a review of the design philosophies underlying the Internet and the Web, their histories and the strategic stewardship that midwifed their births, the book presents the architectural guidelines for the Internet 2.0 infrastructure as well as a blueprint for the construction of its prototype. The discussion in the book is consolidated into a list of technical and strategic guidelines intended to facilitate the incubation of Internet 2.0.
Описание: This book gathers contributions from a multidisciplinary research team comprised of control engineering and economics researchers and formed to address a central interdisciplinary social issue, namely economically enabled energy management.
Описание: Reviews current and future trends in Semantic Web research with the aim of making existing and potential applications more accessible to a broader community of academics, practitioners, and industry professionals. Covering topics including recommendation systems, semantic search, and ontologies, this reference is a valuable contribution to the existing literature in this discipline.
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: 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.
Описание: Developments in bio-inspired computation have impacted multiple fields and created opportunities for new applications. In recent years, these techniques have been increasingly integrated into robotic systems. Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities is an innovative reference source for the latest perspectives on biologically-inspired computation techniques for robot design and control. Highlighting a range of pivotal topics such as software engineering, simulation tools, and robotic security, this book is ideally designed for researchers, academics, students, and practitioners interested in the role of membrane computing in mobile robots.
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