In his dreams, Su Yue traveled to a strange place and became an ancient rich and handsome man with a concubine. However, this was a strange place. There were mysterious Taoists, Phantoms, Phantoms, and even paper men riding bicycles! He wanted to leave this strange place, but he couldn't leave no matter what. Gradually, he realized that there was something strange here. He even changed his body, but the mark was still there. It was as if the only way to leave this place was to end all the Karma in this place! Where would he go? Could he leave this place? After he left, would he still dream of teleporting to other places? Everything was unknown ...
This textbook is a comprehensive review of many different areas in solar-pumped lasers design and characterization. It enables readers to develop their skills in general solid-state laser design and solar collector design and provides numerous solved exercises at the end of each chapter to further this development. This book begins by introducing the brief history of solar-pumped laser and its potential applications. It explains the basic theories of imaging and non-imaging primary, secondary, and tertiary solar concentrators. It discusses solar-pumped solid-state laser theory and solar-to-laser power conversion efficiencies. There are chapters dedicated to ZEMAX and LASCAD numerical simulation tools, to help develop readers’ skills in innovative solid-state laser design. This book is one of the first books to relate concentrated solar energy technologies to solid-state laser technologies and is therefore of interest to students, academics, engineers, and laser and optical system designers.
Nonequilibrium atmospheric pressure plasma jets (N-APPJs) generate plasma in open space rather than in a confined chamber and can be utilized for applications in medicine. This book provides a complete introduction to this fast-emerging field, from the fundamental physics, to experimental approaches, to plasma and reactive species diagnostics. It provides an overview of the development of a wide range of plasma jet devices and their fundamental mechanisms. The book concludes with a discussion of the exciting application of plasmas for cancer treatment. The book provides details on experimental methods including expert tips and caveats. covers novel devices driven by various power sources and the impact of operating conditions on concentrations and fluxes of the reactive species. discusses the latest advances including theory, modeling, and simulation approaches. gives an introduction, overview and details on state of the art diagnostics of small scale high gradient atmospheric pressure plasmas. covers the use of N-APPJs for cancer applications, including discussion of destruction of cancer cells, mechanisms of action, and selectivity studies. XinPei Lu is a Chair Professor in the School of Electrical and Electronic Engineering at Huazhong University of Science and Technology. Stephan Reuter is currently Visiting Professor at Université Paris-Saclay. In a recent Alexander von Humboldt research fellowship at Princeton University, he performed ultrafast laser spectroscopy on cold plasmas. Mounir Laroussi is Professor of Electrical and Computer Engineering and director of the Plasma Engineering and Medicine Institute at Old Dominion University. He is a Fellow of IEEE and recipient of an IEEE Merit Award. DaWei Liu is Professor in the School of Electrical and Electronic Engineering at Huazhong University of Science and Technology.
The past few years have seen the attention and rapid developments in event-triggered sampled-data systems, in which the effect of event-triggered sensor measurements and controller updates is explored in controller analysis and design. This book offers the first systematic treatment of event-triggered sampled-data control system design using active disturbance rejection control (ADRC), an effective approach that is popular in both theoretic research and industrial applications. Extensive application examples with numerous illustrations are included to show how the event-triggered ADRC with theoretic performance guarantees can be implemented in engineering systems and how the performance can be actually achieved. For theoretic researchers and graduate students, the presented results provide new directions in theoretic research on event-triggered sampled-data systems; for control practitioners, the book offers an effective approach to achieving satisfactory performance with limited sampling rates.
Called the “Confucius from the West”, the Italian Jesuit Giulio Aleni presented in the final years of the Ming dynasty the biological and sensitive dimensions of the human soul under the form of a fascinating dialogue.
Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training. As such, building incentive mechanisms is indispensable for FL networks. This book provides a comprehensive overview of FL for wireless networks. It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy. It also presents several solutions based on optimization theory, graph theory, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications of FL in wireless networks.
Floods are devastating natural disasters with a significant impact on human life and the surrounding environent. Flood Risk Assessment and Management should serve as an Ideal textbook on analytical flood risk assessment and management, and is intended for
This book studies and discusses the current situation and development trend of technology application in the private equity industry of China. This book provides answers to the following questions that are critical concerns of the industry. For applications of technologies in enhancing financial service quality and efficiency, how to introduce digital technologies into the business innovation and operation management process of the private equity industry? How can digital technology be used to promote the comprehensive digital transformation of the private equity industry? For regulation of the private equity industry, how to utilize digital technology to improve the regulatory means and tools of the private equity industry. How to use digital technology to prevent the risk of the private equity industry? The answers to the questions have theoretical significance and practical value for healthy development and supervision of private equity industry in China. China’s private equity industry has made significant progress and attained remarkable achievements after more than 30 years of development, especially with the advancement of China’s capital market reform. This book provides an overview of the private equity industry and a study of digital technology applications such as the Internet, big data, artificial intelligence, and blockchain. It is a valuable reference for researchers and practitioners in related fields, and it also sheds light on technology applications for practitioners and financial regulators in the private equity industry in China.
This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples and comparisons. The text elucidates both theoretical developments and their applications, and is rounded out by a review of open problems. This book is a valuable resource for researchers and students who wish to expand their knowledge and work in the area of event-triggered systems. At the same time, engineers and practitioners in industrial process control will benefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications.
This book studies and discusses the current situation and development trend of technology application in the private equity industry of China. This book provides answers to the following questions that are critical concerns of the industry. For applications of technologies in enhancing financial service quality and efficiency, how to introduce digital technologies into the business innovation and operation management process of the private equity industry? How can digital technology be used to promote the comprehensive digital transformation of the private equity industry? For regulation of the private equity industry, how to utilize digital technology to improve the regulatory means and tools of the private equity industry. How to use digital technology to prevent the risk of the private equity industry? The answers to the questions have theoretical significance and practical value for healthy development and supervision of private equity industry in China. China’s private equity industry has made significant progress and attained remarkable achievements after more than 30 years of development, especially with the advancement of China’s capital market reform. This book provides an overview of the private equity industry and a study of digital technology applications such as the Internet, big data, artificial intelligence, and blockchain. It is a valuable reference for researchers and practitioners in related fields, and it also sheds light on technology applications for practitioners and financial regulators in the private equity industry in China.
This book starts from the application scenarios of artificial financial intelligence regulation, commercial banking, wealth management and payments, etc., and makes a detailed study of the main scenarios of the application of China's artificial intelligence in the financial field, and also analysis specific application cases of China.With the popularization of smart phones and the rapid development of e-commerce, mobile payment, big data and other technologies are in the ascendant in China in recent years. In particular, artificial intelligence technologies in the form of facial, speech and semantic recognition are showing preliminary advantages in the field of FinTech, and the future era of Intelligent Finance has quietly come. The Chinese government has clearly put forward "China should rely on a robust cycle of domestic demand and innovation as the main driver of the economy while maintaining foreign markets and investors as a second engine of growth", science and technology innovation is the basic motivation of economic and social cycle, to implement the " dual circulation strategy ", it is necessary to understand the key role of scientific and technological innovation in financial innovation services, and improve financial services must be driven by science and technology. There is a natural relationship between artificial intelligence and financial services, because financial services are credit and information intermediaries, and data is the most critical for finance, while artificial intelligence has a super ability in dealing with complex data. At present, many Chinese Banks have applied artificial intelligence to their daily operations and management, such as accurate customer identification, enhanced process tracking, intelligent marketing, and product process transformation, so as to simplify financial service processes and shorten service cycles. In General, this book both pays attention to practical application and theoretical, which is a useful reference book in theoretical research and practical work, and also helps readers to understand the application of intelligent finance in China.
This book starts from the application of technologies in financial institutions and financial regulators in China, and defines the concept and connotation of FinTech and SupTech in the form of topics, analyses the main problems in the development process, and discusses in depth the future development and regulatory tendency of FinTech and SupTech. In recent years, with the in-depth application and cross-domain integration of information technology in the financial world, FinTech has rapidly developed and has been widely applied, which brings us an important enlightenment: technical factors will bring fundamental changes for the development of the modern financial industry. While improving financial efficiency, it has an impact on the core financial problems such as information matching and mutual trust solving, making it urgent to improve financial supervision capacity and regulatory efficiency through information technology to effectively guarantee financial security. At present, many Chinese financial institutions have applied technologies to their daily operations and management, such as accurate customer identification, enhanced process tracking, intelligent marketing, and product process transformation, so as to simplify financial service processes and shorten service cycles. Meanwhile, the financial regulators in China, such as PBOC, CBIRC, CSRC, have also applied technologies to the area of financial regulation, in order to reduce the cost of regulation, and promote the efficiency and effectiveness of regulation. In General, this book both pays attention to practical application and theoretical, which is a useful reference book for theoretical research and practical work, and also helps readers to understand the application of technologies in financial institutions and financial regulators in China.
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