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.
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 ...
Smart Protective Coatings for Corrosion Control Overview of the latest research in advanced coatings for anticorrosion and the development of optimized surfaces with high anticorrosion ability Smart Protective Coatings for Corrosion Control introduces the newest research developments in self-healing coatings, self-reporting coatings, and superhydrophobic coatings, reviewing corrosion processes and strategies, smart coatings for corrosion protection, techniques for synthesizing and applying smart coatings, different kinds of self-healing and self-reporting coatings activated by different environmental stimuli, and current and future trends of protective coatings for automotive, aerospace, marine, nuclear, oil/gas, and military applications. This book also discusses new ideas in the field, such as the combination of self-healing and self-reporting properties, new techniques to study localized microscale electrochemical corrosion behavior, as well as atmospheric corrosion monitor technique to study the real-time protection behavior of coatings in different environments. The processes of coating degradation and metal corrosion are discussed in detail so that non-experts can gain a basic understanding of the corrosion protection techniques. Written by two highly qualified academics with significant research experience in the field, Smart Protective Coatings for Corrosion Control includes information on: Coating preparation, filler preparation, surface characterization, macroscopic and microscopic electrochemical properties, and self-healing performance of self-healing coating systems under different environmental stimuli Photothermal conversion species such as graphene oxide, titanium nitride, and Fe3O4 Different types of corrosion indicators, such as phenolphthalein, sulfosalicylic acid-modified carbon dots, and phenanthroline High-mobility polymer networks that endow a shape memory effect and allow coatings to recover their original shape and barrier properties Solutions to three corrosion conditions—room temperature immersion, alternating wet-dry, and outdoor atmospheric exposure conditions Presenting the latest research in the field, Smart Protective Coatings for Corrosion Control is a practical and highly valuable reference on the subject for scientists, researchers, and students in diverse programs of study.
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.
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.
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.
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.
This is the as-told-to political autobiography of Phüntso Wangye (Phünwang), one of the most important Tibetan revolutionary figures of the twentieth century. Phünwang began his activism in school, where he founded a secret Tibetan Communist Party. He was expelled in 1940, and for the next nine years he worked to organize a guerrilla uprising against the Chinese who controlled his homeland. In 1949, he merged his Tibetan Communist Party with Mao's Chinese Communist Party. He played an important role in the party's administrative organization in Lhasa and was the translator for the young Dalai Lama during his famous 1954-55 meetings with Mao Zedong. In the 1950s, Phünwang was the highest-ranking Tibetan official within the Communist Party in Tibet. Though he was fluent in Chinese, comfortable with Chinese culture, and devoted to socialism and the Communist Party, Phünwang's deep commitment to the welfare of Tibetans made him suspect to powerful Han colleagues. In 1958 he was secretly detained; three years later, he was imprisoned in solitary confinement in Beijing's equivalent of the Bastille for the next eighteen years. Informed by vivid firsthand accounts of the relations between the Dalai Lama, the Nationalist Chinese government, and the People's Republic of China, this absorbing chronicle illuminates one of the world's most tragic and dangerous ethnic conflicts at the same time that it relates the fascinating details of a stormy life spent in the quest for a new Tibet.
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.
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.
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.
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