Illustrating the cultural significance of film and its power as a vehicle for social change, this book reveals the intricacies of the cultural movement and explores its connections to other art forms such as photography, drama, and literature.
I'm just helping the dead fulfill their last wish. I didn't mean to kiss you ..." After she finished speaking, she lowered her head and pressed her lips onto his. Suddenly, he opened his eyes. "You delivered yourself to me." In the blink of an eye, before the high difficulty quest was delivered to his doorstep, he had arrogantly said to her, "If the quest is completed, I'll reward her with marrying him. If she can't, then I'll punish her to marry him!" Hm? Was there something wrong with this operation? Mao Jingjing was stupefied...
When I come to the city, I shall be the supreme being! Ancient martial arts descendant? Asura weapon king? A monstrous farmer? Cultivation genius? A peerless genius doctor? Master Miao Jiang... He had to lie down obediently in front of me!
Chinese Insurance Contracts: Law and Practice is the first systematic text written in English on the law of insurance in China. This book offers a critical analysis of the major principles, doctrines and concepts of insurance contract law in China. At every point the analysis discusses the principles of the Insurance Law in detail, referring where appropriate to decided cases and also drawing attention to external influences. Readers are guided through the complexities of Chinese law in a clear and comprehensive fashion, and – significantly – in a manner that is accessible and meaningful for those used to a common law system. This book presents a comprehensive picture of Chinese insurance contract law, to facilitate a wider understanding of the relevant rules of law. Elements of insurance contract law are critically examined. In addition, this book presents rules of law on some special types of insurance contract, such as life insurance, property insurance, liability insurance, motor vehicle insurance, reinsurance, and marine insurance. The deficiencies and shortcomings of the law and practice will be identified and analysed; suggestions and recommendations on how to reform the law will be presented. Chinese Insurance Contracts also offers legal and practical advice to insurance professionals on how to draft clauses to avoid contractual pitfalls. It also uses cases to illustrate the difficulties which can arise in applying the principles in practice. This book will be essential reading for insurance companies and legal practitioners looking to do business in China, as well as reference for Chinese lawyers practising insurance law. It will also be a useful resource for students and academics studying Chinese law.
Theory of Electroelasticity analyzes the stress, strain, electric field and electric displacement in electroelastic structures such as sensors, actuators and other smart materials and structures. This book also describes new theories such as the physical variational principle and the inertial entropy theory. It differs from the traditional method by using the physical variational principle to derive the governing equations of the piezoelectric material, whereas the Maxwell stress is obtained automatically. By using the inertial entropy theory, the temperature wave equation is obtained very easily. The book is intended for scientists, researchers and engineers in the areas of mechanics, physics, smart material and control engineering as well as mechanical, aeronautical and civil engineering, etc. Zhen-Bang Kuang is a professor at Shanghai Jiao Tong University.
In this atlas, 242 species of the Chinese Mecoptera are illustrated. For most species, the present pictures of the adults and the male genitalia are provided and a geographical distribution map is also available for every species. This book is aiming at not only the audiences such as general entomological researchers and hobbyists but also the forefront workers in the disciplines of agriculture and forestry as a practical reference.
This monograph is an innovative examination of the political economy of music. It integrates original economic theories and empirical research to shed light on the economic and social forces shaping music and society today. Interactive relationships, such as the importance of entrepreneurship, serendipity and authenticity, will be explored in artist subjective determinations of success. In particular, this book deeply explores the mental health of musicians and "creative destruction" during the covid era, copyrights in music markets and an evaluation of the importance of entrepreneurship and brand marketing in the life of musical artists. The monograph contributes empirical research to underexplored areas in the cultural economics of music, such as the proposed musical production function by Samuel Cameron (Routledge 2015) and the concept of distinction in cultural production by Pierre Bourdieu (Routledge 1984, 2010) as uniquely applied with examples from the covid era. Readers will benefit from this easy-to-understand interdisciplinary exploration of the music industry with a focus on the United States and the political economy of music during the covid era. Most cultural economics is focused on Europe and Asia, so this emphasis on the United States will be of interest. This book will be a beneficial reference work for researchers and will find an audience among music professionals and artists. Academics and non-academics, experts and novices interested in music and political economy will also find value in Artists and Markets in Music.
The author presents a unified treatment of this highly interdisciplinary topic to help define the notion of cognitive radio. The book begins with addressing issues such as the fundamental system concept and basic mathematical tools such as spectrum sensing and machine learning, before moving on to more advanced concepts and discussions about the future of cognitive radio. From the fundamentals in spectrum sensing to the applications of cognitive algorithms to radio communications, and discussion of radio platforms and testbeds to show the applicability of the theory to practice, the author aims to provide an introduction to a fast moving topic for students and researchers seeking to develop a thorough understanding of cognitive radio networks. Examines basic mathematical tools before moving on to more advanced concepts and discussions about the future of cognitive radio Describe the fundamentals of cognitive radio, providing a step by step treatment of the topics to enable progressive learning Includes questions, exercises and suggestions for extra reading at the end of each chapter Topics covered in the book include: Spectrum Sensing: Basic Techniques; Cooperative Spectrum Sensing Wideband Spectrum Sensing; Agile Transmission Techniques: Orthogonal Frequency Division Multiplexing Multiple Input Multiple Output for Cognitive Radio; Convex Optimization for Cognitive Radio; Cognitive Core (I): Algorithms for Reasoning and Learning; Cognitive Core (II): Game Theory; Cognitive Radio Network IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard, and Radio Platforms and Testbeds.
In this volume, Professor He and his coworkers summarize polyethylene glycol (PEG)-promoted CO2 chemistry on the basis of understanding about phase behavior of PEG/CO2 system and reaction mechanism at molecular level. As PEG could be utilized as a green replacement for organic solvents, phase-transfer catalyst, surfactant, support in various reaction systems, significantly promoting catalytic activity and recovering expensive metal catalysts, particularly regarded as a CO2-philic material, the authors focus on special applications of PEG in CO2 capture and utilization, including PEG-functionalized catalysts for efficient transformation of CO2 and PEG-functionalized absorbents for efficient CO2 capture. Furthermore, they describe carbon capture and utilization strategy as an alternative approach to address the energy penalty problem in carbon capture and storage. Interestingly, the authors also discuss PEG radical chemistry in dense CO2 as rather creative and unusual use of PEG, presumably serves as a reaction medium and a radical initiator for radical chemistry.
This volume explains the beginnings and expansion of China's space program, analyzing how China is now able to hold such ambitions and how the interaction between technology, politics and economics has influenced the Chinese space program. It opens by tracing out the earlier development of the space program and identifying the successes and problems that plagued this initial effort, later focusing upon its development over the past decade and into the future. As China is now able to reach into outer space with its machines and, since 2003, with its humans, the authors examine how this move from a non-participant status to a state operating at the highest level of space activities has confirmed its potential place as the new economic and military superpower of the twenty-first century. They also demonstrate how recent successes mean that China is now confronted by an issue previously encountered by other space ‘powers’, such as the United States and the former Soviet Union: what is the value of the space program, given its high costs and likelihood of dramatic failure? Chinese Space Policy will be of great interest to students of space studies, Chinese politics, security studies, and international relations in general.
Providing a logical framework for student learning, this is the first textbook on adversarial learning. It introduces vulnerabilities of deep learning, then demonstrates methods for defending against attacks and making AI generally more robust. To help students connect theory with practice, it explains and evaluates attack-and-defense scenarios alongside real-world examples. Feasible, hands-on student projects, which increase in difficulty throughout the book, give students practical experience and help to improve their Python and PyTorch skills. Book chapters conclude with questions that can be used for classroom discussions. In addition to deep neural networks, students will also learn about logistic regression, naïve Bayes classifiers, and support vector machines. Written for senior undergraduate and first-year graduate courses, the book offers a window into research methods and current challenges. Online resources include lecture slides and image files for instructors, and software for early course projects for students.
This book describes how dynamic state estimation application in wide-area measurement systems (WAMS) are crucial for power system reliability, to acquire precisely power system dynamics. The event trigger DSE techniques described by the authors provide a design balance between the communication rate and estimation performance, by selectively sending the innovational data. The discussion also includes practical problems for smart grid applications, such as the non-Gaussian process/measurement noise, packet dropout, computation burden of accurate DSE, robustness to the system variation, etc. Readers will learn how the event trigger DSE can facilitate the effective reduction of communication rates, with guaranteed accuracy under a variety of practical conditions in smart grid applications.
Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis. This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis, and benefits researchers, engineers, and students with theoretical, computational, technical and experimental details. It presents a systematic and up-to-date overview of tensor decompositions from the engineer's point of view, and comprehensive coverage of tensor computation based data analysis techniques. In addition, some practical examples in machine learning, signal processing, data mining, computer vision, remote sensing, and biomedical engineering are also presented for easy understanding and implementation. These data analysis techniques may be further applied in other applications on neuroscience, communication, psychometrics, chemometrics, biometrics, quantum physics, quantum chemistry, etc. The discussion begins with basic coverage of notations, preliminary operations in tensor computations, main tensor decompositions and their properties. Based on them, a series of tensor-based data analysis techniques are presented as the tensor extensions of their classical matrix counterparts, including tensor dictionary learning, low rank tensor recovery, tensor completion, coupled tensor analysis, robust principal tensor component analysis, tensor regression, logistical tensor regression, support tensor machine, multilinear discriminate analysis, tensor subspace clustering, tensor-based deep learning, tensor graphical model and tensor sketch. The discussion also includes a number of typical applications with experimental results, such as image reconstruction, image enhancement, data fusion, signal recovery, recommendation system, knowledge graph acquisition, traffic flow prediction, link prediction, environmental prediction, weather forecasting, background extraction, human pose estimation, cognitive state classification from fMRI, infrared small target detection, heterogeneous information networks clustering, multi-view image clustering, and deep neural network compression.
This book covers the topics of theoretical principles, dynamics model and algorithm, mission analysis, system design and experimental studies of space nets system, aiming to provide an initial framework in this field and serve as a ready reference for those interested. Space nets system represents a forefront field in future development of aerospace technologies. However, it involves new challenges and problems such as nonlinear and distorted nets structure, complex rigid flexible coupling dynamics, orbital transfer of space flexible composite and dynamics control. Currently, no comprehensive books on space nets dynamics and design are available, so potential readers can get to know the working mechanism, dynamics elements, and mission design of the space nets system from a Chinese perspective.
Affective computing refers to computing that relates to, arises from, or influences emotions. The goal of affective computing is to bridge the gap between humans and machines and ultimately endow machines with emotional intelligence for improving natural human-machine interaction. In the context of human-robot interaction (HRI), it is hoped that robots can be endowed with human-like capabilities of observation, interpretation, and emotional expression. The research on affective computing has recently achieved extensive progress with many fields contributing including neuroscience, psychology, education, medicine, behavior, sociology, and computer science. Current research in affective computing concentrates on estimating human emotions through different forms of signals such as speech, face, text, EEG, fMRI, and many others. In neuroscience, the neural mechanisms of emotion are explored by combining neuroscience with the psychological study of personality, emotion, and mood. In psychology and philosophy, emotion typically includes a subjective, conscious experience characterized primarily by psychophysiological expressions, biological reactions, and mental states. The multi-disciplinary features of understanding “emotion” result in the fact that inferring the emotion of humans is definitely difficult. As a result, a multi-disciplinary approach is required to facilitate the development of affective computing. One of the challenging problems in affective computing is the affective gap, i.e., the inconsistency between the extracted feature representations and subjective emotions. To bridge the affective gap, various hand-crafted features have been widely employed to characterize subjective emotions. However, these hand-crafted features are usually low-level, and they may hence not be discriminative enough to depict subjective emotions. To address this issue, the recently-emerged deep learning (also called deep neural networks) techniques provide a possible solution. Due to the used multi-layer network structure, deep learning techniques are capable of learning high-level contributing features from a large dataset and have exhibited excellent performance in multiple application domains such as computer vision, signal processing, natural language processing, human-computer interaction, and so on. The goal of this Research Topic is to gather novel contributions on deep learning techniques applied to affective computing across the diverse fields of psychology, machine learning, neuroscience, education, behavior, sociology, and computer science to converge with those active in other research areas, such as speech emotion recognition, facial expression recognition, Electroencephalogram (EEG) based emotion estimation, human physiological signal (heart rate) estimation, affective human-robot interaction, multimodal affective computing, etc. We welcome researchers to contribute their original papers as well as review articles to provide works regarding the neural approach from computation to affective computing systems. This Research Topic aims to bring together research including, but not limited to: • Deep learning architectures and algorithms for affective computing tasks such as emotion recognition from speech, face, text, EEG, fMRI, and many others. • Explainability of deep Learning algorithms for affective computing. • Multi-task learning techniques for emotion, personality and depression detection, etc. • Novel datasets for affective computing • Applications of affective computing in robots, such as emotion-aware human-robot interaction and social robots, etc.
This book presents the development of an optimization platform for geotechnical engineering, which is one of the key components in smart geotechnics. The book discusses the fundamentals of the optimization algorithm with constitutive models of soils. Helping readers easily understand the optimization algorithm applied in geotechnical engineering, this book first introduces the methodology of the optimization-based parameter identification, and then elaborates the principle of three newly developed efficient optimization algorithms, followed by the ideas of a variety of laboratory tests and formulations of constitutive models. Moving on to the application of optimization methods in geotechnical engineering, this book presents an optimization-based parameter identification platform with a practical and concise interface based on the above theories. The book is intended for undergraduate and graduate-level teaching in soil mechanics and geotechnical engineering and other related engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.
Polymer nanocomposites are polymer matrices reinforced with nano-scale fillers. This new class of composite materials has shown enhanced optical, electrical and dielectric properties. This important book begins by examining the characteristics of the main types of polymer nanocomposites and then reviews their diverse applications.Part one focuses on polymer/nanoparticle composites, their synthesis, optical properties and electrical conductivity. Part two describes the electrical, dielectric and thermal behaviour of polymer/nanoplatelet composites, whilst polymer/nanotube composites are the subject of Part three. The processing and industrial applications of these nanocomposite materials are discussed in Part four, including uses in fuel cells, bioimaging and sensors as well as the manufacture and applications of electrospun polymer nanocomposite fibers, nanostructured transition metal oxides, clay nanofiller/epoxy nanocomposites, hybrid epoxy-silica-rubber nanocomposites and other rubber-based nanocomposites.Polymer nanocomposites: physical properties and applications is a valuable reference tool for both the research community and industry professionals wanting to learn about these materials and their applications in such areas as fuel cell, sensor and biomedical technology. - Gives a comprehensive review of polymer nanocomposites and their properties - A standard reference on this area - Written by distinguished editors and a international team of authors
This book is related to a parametric study of the soil–structural interface shearing behavior based on the numerical simulations of interface shear test with DEM, which is conducted from the role of soil properties, particle properties and structural properties. To aid readers in easily understanding the generation, implementation of models and controlling modes, for each part, the relevant code is provided in the text, and the whole source code of model is given in Appendix to share with readers for practice. The book is intended for graduate-level teaching and research in soil mechanics and geotechnical engineering, as well as in other related engineering specialties. This book is also of use to industry practitioners due to the inclusion of real-world applications, opening the door to advanced courses on modeling within the industrial engineering and operations research fields.
This work illustrates China’s values and how they are practiced. After introducing readers to the theories, systematical structure, historical status, and influence of traditional Chinese values, it points out major developmental trends in connection with modernization. Further, it explores the significance of the contemporary reconstruction of Chinese values and argues that these values can be divided into three layers: values-based goals of national development, Chinese values concepts, and norms of values in a civil society. On this basis, it subsequently interprets the core socialist values “Prosperity, Democracy, Civility and Harmony,” the value concepts “Freedom, Equality, Justice and Rule of Law” and values-based norms “Patriotism, Dedication, Integrity and Friendship.”
This book describes the development of a constitutive modeling platform for soil testing, which is one of the key components in geomechanics and geotechnics. It discusses the fundamentals of the constitutive modeling of soils and illustrates the use of these models to simulate various laboratory tests. To help readers understand the fundamentals and modeling of soil behaviors, it first introduces the general stress–strain relationship of soils and the principles and modeling approaches of various laboratory tests, before examining the ideas and formulations of constitutive models of soils. Moving on to the application of constitutive models, it presents a modeling platform with a practical, simple interface, which includes various kinds of tests and constitutive models ranging from clay to sand, that is used for simulating most kinds of laboratory tests. The book is intended for undergraduate and graduate-level teaching in soil mechanics and geotechnical engineering and other related engineering specialties. Thanks to the inclusion of real-world applications, it is also of use to industry practitioners, opening the door to advanced courses on modeling within the industrial engineering and operations research fields.
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