This book discusses topics related to power electronics, especially electromagnetic transient analysis and control of high-power electronics conversion. It focuses on the re-evaluation of power electronics, transient analysis and modeling, device-based system-safe operating area, and energy balance-based control methods, and presenting, for the first time, numerous experimental results for the transient process of various real-world converters. The book systematically presents both theoretical analysis and practical applications. The first chapter discusses the structure and attributes of power electronics systems, highlighting the analysis and synthesis, while the second chapter explores the transient process and modeling for power electronics systems. The transient features of power devices at switching-on/off, transient conversion circuit with stray parameters and device-based system-safe operating area are described in the subsequent three chapters. The book also examines the measurement of transient processes, electromagnetic pulses and their series, as well as high-performance, closed-loop control, and expounds the basic principles and method of the energy-balanced control strategy. Lastly, it introduces the applications of transient analysis of typical power electronics systems. The book is valuable as a textbook for college students, and as a reference resource for electrical engineers as well as anyone working in the field of high-power electronics system.
This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal. A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
This book discusses the theories, methods, and application techniques of the measurement data mathematical modeling and parameter estimation. It seeks to build a bridge between mathematical theory and engineering practice in the measurement data processing field so theoretical researchers and technical engineers can communicate. It is organized with abundant materials, such as illustrations, tables, examples, and exercises. The authors create examples to apply mathematical theory innovatively to measurement and control engineering. Not only does this reference provide theoretical knowledge, it provides information on first hand experiences.
The Chinese Language Demystified offers a detailed exploration of the features that have made Mandarin Chinese so unique among the major languages of the world, particularly English and other European linguistic forms of communication. While discussing the aspects that contribute to the perception of the language as somewhat ‘mysterious,’ the book also investigates how it is comprehended and used by the Chinese people despite its lack of formal grammatical structure in the conventional terms of understanding.
As the first self-teaching course in Jimmy Du’s Natural Language Works, Jimmy Du’s Essential Chinese is an audio-companion book specially designed to help you master Mandarin Chinese in the shortest time possible. The promise is that you will simply “pick it up” if you just spend a little time following this course while relaxing at home, taking a walk, commuting to work or travelling. You don’t have to sit in a classroom, consult the dictionary, study grammar or do any written exercises. This least-effort principle is based on the understanding that we human beings all have an innate aptitude for picking up any human language, native or foreign. All you have to do is keep listening to what you can immediately understand, imitate, and put to use. For the highest efficiency, we have provided easy-to-understand explanations and translations of everything in the text. The text contents are carefully selected so that they will not only serve as a basis for you to expand your vocabulary, but also help you learn the nature of the Chinese language and how it works.
Traditional Chinese Rites and Rituals provides a comprehensive overview of the social practices of Chinese people on various occasions of cultural importance. While explaining how these rites and rituals are performed, it also introduces the reasons why certain norms are followed by individuals, families and the state as a whole. As such, the book offers a kaleidoscopic perspective on the plurality evident in all facets of Chinese culture.
This book takes an innovative approach to one of the great figures of Chinese culture, the writer and painter Wen Zhengming (1470–1559). Renowned as one of the great “scholar painters” of the Ming dynasty, Wen was enmeshed in a complex web of social obligations, his “elegant debts” as he called them, which led to many of his most celebrated works. Using an unprecedented quantity of primary sources for his life and work, Elegant Debts looks at the ways in which social obligation and gift exchange were central to personal and individual identity in the Ming period. The book also examines Wen’s family relationships, his friends, mentors, and pupils, his sense of a distinct local identity, and the interplay of national and regional politics with the achievements of his long life. It uses the insights of a range of scholarship—art history, social and literary history, and anthropology—to show how “self” was constructed in Ming China. In doing so, it makes a major contribution toward a more diverse art history that is less dependent on European conceptions of artists and their work. Craig Clunas has published extensively in the field, and is widely recognized as one of the world’s leading scholars of Ming culture. Featuring many images of the work of one of China’s major painters, this book is accessible to all who are interested in China’s culture and history, as well as to students and scholars of art history and the history of culture.
This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal. A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
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