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Big Data Analytics for Cyber-Physical System in Smart City
This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Management Game Theory
This book primarily addresses various game theory phenomena in the context of management practice. As such, it helps readers identify the profound game theory principles behind these phenomena. At the same time, the game theory principles in the book can also provide a degree of guidance for solving practical problems.As one of the main areas in management research, there is already an extensive body of literature on game theory. However, it remains mainly theoretical, focusing on abstract arguments and purely numerical examples purely. This book addresses that gap, helping readers apply game theory in their actual management or research work.
International Conference on Industrial Engineering and Management Science-2013
ICIEMS 2013 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Industrial Engineering and Management Science. This conference provides opportunities for the delegates to exchange new ideas and experiences face to face, to establish business or research relations and to find global partners for future collaboration.
An Inquiry into Education
The book is a collection of five significant articles that highlight Professor Baokui QU's research on the evolution of the eduational discipline in China, the classfication of educational sciences, and the metatheory of education. One of the features of his research on these topics is that he integrated the perspectives from scholars in many countries, and reflected critically on the past and future of education as a discipline.
Computational Science - ICCS 2007
Part of a four-volume set, this book constitutes the refereed proceedings of the 7th International Conference on Computational Science, ICCS 2007, held in Beijing, China in May 2007. The papers cover a large volume of topics in computational science and related areas, from multiscale physics to wireless networks, and from graph theory to tools for program development.
Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1
This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City
This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security ...
Study on Fabrication and Performance of Metal-Supported Solid Oxide Fuel Cells
This book highlights the development of novel metal-supported solid oxide fuel cells (MS-SOFCs). It describes the metal-supported solid oxide fuel cells (MS-SOFCs) that consist of a microporous stainless steel support, nanoporous electrode composites and a thin ceramic electrolyte using the “tape casting-sintering-infiltrating” method. Further, it investigates the reaction kinetics of the fuel cells’ electrodes, structure–performance relationship and degradation mechanism. By optimizing the electrode materials, preparation process for the fuel cells, and nano-micro structure of the electrode, the resulting MS-SOFCs demonstrated (1) great output power densities at low temperatures, e.g., 1.02 W cm-2 at 600°C, when operating in humidified hydrogen fuels and air oxidants; (2) excellent long-term stability, e.g., a degradation rate of 1.3% kh-1 when measured at 650°C and 0.9 A cm-2 for 1500 h. The design presented offers a promising pathway for the development of low-cost, high power-density and long-term-stable SOFCs for energy conversion.
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
