Fei-Yue Wang – författare

Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technologies in energy storage systems.Energy storage is a complex system, often containing several energy storage techniques to complement each other. This reference covers those techniques by looking at li-ion battery-based energy storage systems and all indispensable technologies in different scenarios or real applications including Compressed Air Storage, Power to gas systems, Pumped Thermal, Liquid Air Storage, Thermochemical storage, and more.Compiled by global experts and considering latest advances related to full recyclable process, second use, pollution reduction, and low-carbon industry & economy, which will boost the real applications of the energy storage systems. By addressing the current challenges of energy storage technologies and potential solutions, this comprehensive text uses algorithms, methods, and programs as a technical-encyclopedia for energy-storage-related areas such as Electric vehicles, Intelligent Transportation, Environment, and smart cities.Designed to inform, advise, and create discussion about the energy transition, climate, low carbon power and economy, the contributors provide abundant and valuable materials and references for the students, researchers, engineers, professors in in energy, engineering and environmental areas.

Designed to be a suitable text for Energy, Energy Storage, and Power System-related courses for post-graduate studentsIncludes algorithms, methods, and programs designed to be used as technical-encyclopedia for energy-storage-related areasFeatures real applications, including energy storage in electrical power grids and transportation systems and in Environmental Impaction with Battery Recycling and Ladder Utilization

Advanced Motion Control and Sensing for Intelligent Vehicles provides the latest information in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing need for safe, comfortable, time and energy-efficient modes of transportation with emphasis on the latest key findings, current trends, and likely future developments in this rapidly expanding field.Highlights:Discusses individual vehicle dynamics, sensory and multiple ground-vehicle interactionsIncludes systematic review of past and current research achievementsPresents case studies in cutting-edge directions such as vehicle steering motion, vehicle vision systems, cooperative driving, intersection safety, and tire pressure monitoringAssesses the likely future developments of this field This book is useful for both practicing engineers and researchers in the automotive industry.

Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models. In advanced image and visual perception studies, a visual model's understanding and reasoning ability often determines whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception. As computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems, this book delves into computer vision systems that are highly specialized and very limited in their ability to do visual reasoning and causal inference.Questions naturally arise in this arena, including (1) How can human knowledge be incorporated with visual models? (2) How does human knowledge promote the performance of visual models? To address these problems, this book proposes a new framework for computer vision-computational knowledge vision.

Presents a concept and basic framework of Computational Knowledge Vision that extends the knowledge engineering methodology to the computer vision fieldDiscusses neural networks, meta-learning, graphs, and Transformer modelsIllustrates a basic framework for Computational Knowledge Vision whose essential techniques include structuralized knowledge, knowledge projection, and conditional feedback

Parallel Population and Parallel Human Proposes a new paradigm to investigate an individual’s cognitive deliberation in dynamic human-machine interactions Today, intelligent machines enable people to interact remotely with friends, family, romantic partners, colleagues, competitors, organizations, and others. Virtual reality (VR), augmented reality (AR), artificial intelligence (AI), mobile social media, and other technologies have been driving these interactions to an unprecedented level. As the complexity in system control and management with human participants increases, engineers are facing challenges that arise from the uncertainty of operators or users. Parallel Population and Parallel Human: A Cyber-Physical Social Approach presents systemic solutions for modeling, analysis, computation, and management of individuals’ cognition and decision-making in human-participated systems, such as the MetaVerse. With a virtual-real behavioral approach that seeks to actively prescribe user behavior through cognitive and dynamic learning, the authors present a parallel population/human model for optimal prescriptive control and management of complex systems that leverages recent advances in artificial intelligence. Throughout the book, the authors address basic theory and methodology for modeling, describe various implementation techniques, highlight potential acceleration technologies, discuss application cases from different fields, and more. In addition, the text: Considers how an individual’s behavior is formed and how to prescribe their behavioral modesDescribes agent-based computation for complex social systems based on a synthetic population from realistic individual groupsProposes a universal algorithm applicable to a wide range of social organization typesExtends traditional cognitive modeling by utilizing a dynamic approach to investigate cognitive deliberation in highly time-variant tasksPresents a new method that can be used for both large-scale social systems and real-time human-machine interactions without extensive experiments for modelingParallel Population and Parallel Human: A Cyber-Physical Social Approach is a must-read for researchers, engineers, scientists, professionals, and graduate students who work on systems engineering, human-machine interaction, cognitive computing, and artificial intelligence.

A methodological framework for bridging the gap between Artificial Intelligence and Social Sciences Complex cyber-physical-social systems demand rigorous analysis, design, regulation and validation methods that traditional approaches cannot provide. Computational Experiments: A Bridge between Artificial Intelligence and Social Sciences delivers a systematic methodology spanning modeling, simulation, and validation of intelligent systems. Written by leading researchers in complex systems and artificial intelligence, this work provides both theoretical foundations and practical frameworks for studying intricate social and physical systems. The book covers the artificial society modeling framework across four levels: AI agents and prospect theory, learning mechanisms of AI agents, AI society and social networks, and integration with environmental systems. It addresses how computational experiments incorporate generative agents and large language models, and explores policy sandboxes for decision analysis and social system behavior prediction in complex contexts. The book also discusses: Comprehensive coverage of computational experiment methodology including origins, development history, and knowledge frameworks essential for practical applicationsSocial simulation technology foundations providing unique insights into simulating and deducing complex social systems from interdisciplinary research perspectivesDetailed exploration of AI agent architectures incorporating prospect theory, reinforcement learning mechanisms, and multi-agent coordination strategies for system modelingFrameworks for integrating virtual and real-world intelligence to improve predictive capabilities and support decision-making in complex operational environmentsDesigned for professors, researchers, and graduate students in computer science, artificial intelligence, social computing, and systems engineering, this book also serves professionals in policy simulation, strategic planning, and smart system development who require rigorous methods for validating intelligent system behavior.

Advanced Motion Control and Sensing for Intelligent Vehicles provides the latest information in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing need for safe, comfortable, time and energy-efficient modes of transportation with emphasis on the latest key findings, current trends, and likely future developments in this rapidly expanding field.Highlights:Discusses individual vehicle dynamics, sensory and multiple ground-vehicle interactionsIncludes systematic review of past and current research achievementsPresents case studies in cutting-edge directions such as vehicle steering motion, vehicle vision systems, cooperative driving, intersection safety, and tire pressure monitoringAssesses the likely future developments of this field This book is useful for both practicing engineers and researchers in the automotive industry.

Innovative transportation technologies will be a vital component of any future sustainable society.  Gathering over 50 authoritative, peer-reviewed entries from the Encyclopedia of Sustainability Science and Technology, Transportation Technologies for Sustainability covers a broad range of transportation-related sustainability research, from vehicle design and technology to mass transit systems.  State-of-the-art chapters describe key developments in intelligent vehicle technology, including vision sensors, driver status monitoring, and vehicle motion control, while international experts present the latest research in electric, hybrid, and fuel cell vehicles.  Leaders in the mass transit field assess a broad spectrum of alternatives in both small and large urban areas.  This valuable collection is an essential reference for undergraduate and graduate students, researchers, policymakers, and industry experts.

Networked control systems (NCS) confer advantages of cost reduction, system diagnosis and flexibility, minimizing wiring and simplifying the addition and replacement of individual elements; efficient data sharing makes taking globally intelligent control decisions easier with NCS.The applications of NCS range from the large scale of factory automation and plant monitoring to the smaller networks of computers in modern cars, places and autonomous robots.Networked Control Systems presents recent results in stability and robustness analysis and new developments related to networked fuzzy and optimal control. Many chapters contain case-studies, experimental, simulation or other application-related work showing how the theories put forward can be implemented.The state-of-the art research reported in this volume by an international team of contributors makes it an essential reference for researchers and postgraduate students in control, electrical, computer and mechanical engineering and computer science.

Networked control systems (NCS) confer advantages of cost reduction, system diagnosis and flexibility, minimizing wiring and simplifying the addition and replacement of individual elements; efficient data sharing makes taking globally intelligent control decisions easier with NCS.The applications of NCS range from the large scale of factory automation and plant monitoring to the smaller networks of computers in modern cars, places and autonomous robots.Networked Control Systems presents recent results in stability and robustness analysis and new developments related to networked fuzzy and optimal control. Many chapters contain case-studies, experimental, simulation or other application-related work showing how the theories put forward can be implemented.The state-of-the art research reported in this volume by an international team of contributors makes it an essential reference for researchers and postgraduate students in control, electrical, computer and mechanical engineering and computer science.

By incorporating the latest advancement in complex system modeling and simulation into the service system research, this book makes a valuable contribution to this field that will lead service innovation and service management toward the digital twin and metaverse.

This book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators.

This book presents a comprehensive framework of scenarios engineering designed to guide and support services science in the era of modern AI. Offering a systematic overview of recent advancements, it explores key challenges and opportunities in both services science and scenarios engineering. The framework, grounded in parallel intelligence theory, addresses critical issues posed by emerging AI technologies in services systems, while providing tools for analysis, validation, and calibration. It also offers a platform for evaluating, analyzing, and comparing existing Scenarios Engineering for Services Science (SE4SS) projects, as well as guiding new research endeavors. By integrating core elements of services science, such as services systems, metrics, technology, automation, and ethics, through a multidimensional lens, the book enables researchers to explore foundational models, intelligent systems, domain-specific knowledge bases, datasets, and virtual systems. Case studies from various academic fields illustrate the application of standardized dimensions and metrics, fostering interdisciplinary insights and accelerating the development of the field.The book is designed for researchers, practitioners, and students interested in the intersection of services science and artificial intelligence. It balances theoretical depth with practical application, offering valuable case studies and examples that clarify core concepts and make the material accessible. With its goal-oriented approach, the book is ideal for academics exploring advancements in services science and AI, data scientists applying AI to services systems, and students seeking to deepen their understanding of these rapidly evolving fields.

This book constitutes the refereed proceedings of the three international workshops PAISI 2008, PACCF 2008, and SOCO 2008, held as satellite events of the IEEE International Conference on Intelligence and Security Informatics, ISI 2008, in Taipei, Taiwan, in June 2008.The 55 revised full papers presented were carefully reviewed and selected from the presentations at the workshops. The 21 papers of the Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2008) cover topics such as information retrieval and event detection, internet security and cybercrime, currency and data protection, cryptography, image and video analysis, privacy issues, social networks, modeling and visualization, and network intrusion detection. The Pacific Asia Workshop on Cybercrime and Computer Forensics (PACCF 2008) furnishes 10 papers about forensic information management, forensic technologies, and forensic principles and tools. The 24 papers of the Workshop on Social Computing (SOCO 2008) are organized in topical sections on social web and social information management, social networks and agent-based modeling, as well as social opinions, e-commerce, security and privacy considerations.

Intelligence and security informatics (ISI) is concerned with the study of the development and use of advanced information technologies and systems for national, international, and societal security-related applications. The annual IEEE International Conference series on ISI was started in 2003 and the first four meetings were held in the United States. In 2006, the Workshop on ISI (http://isi. se. cuhk. edu. hk/2006/) was held in Singapore in conjunction with the Pacific Asia Conference on Knowledge Discovery and Data Mining, with over 100 contributors and participants from all over the world. These past ISI conferences have brought together academic researchers, law enforcement and intelligence experts, information technology consultants, and practitioners to discuss their research and practice related to various ISI topics including ISI data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal social network analysis, public health and bio-security, crime analysis, cyber-infrastructure protection, transportation infrastructure security, policy studies and evaluation, and information assurance, among others. We continued this stream of ISI conferences by organizing the 2007 Pacific Asia Workshop on ISI (PAISI 2007) to especially provide a stimulating forum for ISI researchers in Pacific Asia and other regions of the world to exchange ideas and report research progress. PAISI 2007 was hosted by the Chinese Academy of Sciences, the University of Arizona, and the Chinese University of Hong Kong.

As one of the eighteen field-specific reports comprising the comprehensive scope of the strategic general report of the Chinese Academy of Sciences, this sub-report addresses long-range planning for developing science and technology in the field of advanced manufacturing technology. They each craft a roadmap for their sphere of development to 2050. In their entirety, the general and sub-group reports analyze the evolution and laws governing the development of science and technology, describe the decisive impact of science and technology on the modernization process, predict that the world is on the eve of an impending S&T revolution, and call for China to be fully prepared for this new round of S&T advancement. Based on the detailed study of the demands on S&T innovation in China’s modernization, the reports draw a framework for eight basic and strategic systems of socio-economic development with the support of science and technology, work out China’s S&T roadmaps for the relevant eight basic and strategic systems in line with China’s reality, further detail S&T initiatives of strategic importance to China’s modernization, and provide S&T decision-makers with comprehensive consultations for the development of S&T innovation consistent with China’s reality. Supported by illustrations and tables of data, the reports provide researchers, government officials and entrepreneurs with guidance concerning research directions, the planning process, and investment. Founded in 1949, the Chinese Academy of Sciences is the nation’s highest academic institution in natural sciences. Its major responsibilities are to conduct research in basic and technological sciences, to undertake nationwide integrated surveys on natural resources and ecological environment, to provide the country with scientific data and consultations for government’s decision-making, to undertake government-assigned projects with regard to key S&T problems in the process of socio-economicdevelopment, to initiate personnel training, and to promote China’s high-tech enterprises through its active engagement in these areas.

This book constitutes the refereed proceedings of the International Conference for Smart Health, ICSH 2013, held in Beijing, China, in August 2013. The 15 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Information Sharing, Integrating and Extraction;

Earth-moving is a common activity at mines, construction sites, hazardous waste cleanup locations, and road works. Expensive and sophisticated machines such as wheel loaders are used for earth-moving. This book presents a robotic control approach to the computer control of wheel-loader-type excavators. The unpredictable and dynamic rock excavation environment poses challenges for the design of the real time control algorithm. The control method developed here is based on the analysis of human operators' performance; it applies neural networks, fuzzy logic and finite state machines to embody human excavation strategies for on-line bucket digging trajectory design. A behavior-based control architecture organizes operation of the modules to achieve quick system response. Extensive experiments have been performed to demonstrate the diggability of the algorithm in various difficult-to-excavate environments.

Flexible robotic manipulators pose various challenges in research as compared to rigid robotic manipulators, ranging from system design, structural optimization, and construction to modeling, sensing, and control. Although significant progress has been made in many aspects over the last one-and-a-half decades, many issues are not resolved yet, and simple, effective, and reliable controls of flexible manipulators still remain an open quest. Clearly, further efforts and results in this area will contribute significantly to robotics (particularly automation) as well as its application and education in general control engineering. To accelerate this process, the leading experts in this important area present in this book the state of the art in advanced studies of the design, modeling, control and applications of flexible manipulators.