Imperial-Time-Order is an engagingly written critical study on a persistent historical way of thinking in modern China. Defined as normalization of unification and moralization of time, Qian suggests, the imperial-time-order signifies a temporal structure of empire that has continued to shape the way modern China developed itself conceptually. Weaving together intellectual debates with literary and media representations of imperial history since the late Qing period, ranging from novels, stage plays, films, to television series, Qian traces the different temporalities of each period and takes “time” as the analytical node by which issues of empire, nation, family, morality, individual and collective subjectivity are constructed and contested.
Perception of human beings has evolved from natural biosensor to powerful sensors and sensor networks. In sensor networks, trillions of devices are interconnected and sense a broad spectrum of contexts for human beings, laying the foundation of Internet of Things (IoT). However, sensor technologies have several limitations relating to deployment cost and usability, which render them unacceptable for practical use. Consequently, the pursuit of convenience in human perception necessitates a wireless, sensorless and contactless sensing paradigm. Recent decades have witnessed rapid developments in wireless sensing technologies, in which sensors detect wireless signals (such as acoustic, light, and radio frequency) originally designed for data transmission or lighting. By analyzing the signal measurements on the receiver end, channel characteristics can be obtained to convey the sensing results. Currently, significant effort is being devoted to employing the ambient Wi-Fi, RFID, Bluetooth, ZigBee, and television signals for smart wireless sensing, eliminating the need for dedicated sensors and promoting the prospect of the Artificial Intelligence of Things (AIoT). This book provides a comprehensive and in-depth discussion of wireless sensing technologies. Specifically, with a particular focus on Wi-Fi-based sensing for understanding human behavior, it adopts a top-down approach to introduce three key topics: human detection, localization, and activity recognition. Presenting the latest advances in smart wireless sensing based on an extensive review of state-of-the-art research, it promotes the further development of this area and also contributes to interdisciplinary research.
He was unbridled as he slashed his sword through the heavens!He exuded an evil aura, and his eyes flashed like lightning across the nine heavens.He was free and unfettered, with beauties as numerous as the clouds and flowers surrounding him.He was tyrannical, and wherever he passed, not a single blade of grass would remain!Evil Emperor Hengkong, Tremor of Eternity!This was the most powerful, top quality evil cultivator!
Computational fluid dynamics (CFD) studies the flow motion in a discretized space. Its basic scale resolved is the mesh size and time step. The CFD algorithm can be constructed through a direct modeling of flow motion in such a space. This book presents the principle of direct modeling for the CFD algorithm development, and the construction unified gas-kinetic scheme (UGKS). The UGKS accurately captures the gas evolution from rarefied to continuum flows. Numerically it provides a continuous spectrum of governing equation in the whole flow regimes.
A gyrotron traveling-wave amplifier (gyro-TWT) with the high-power and broad-band capabilities is considered as a turn-on key for next generation high-resolution radar. The book presents the most advanced theory, methods and physics in a gyro-TWT. The most challenging problem of instability competition has been for the first time addressed in a focused and systematic way and reported via concise states and vivid pictures. The book is likely to meet the interest of researchers and engineers in radar and microwave technology, who would like to study the gyro-TWTs and to promote its application in millimeter-wave radars. Chao-Hai Du and Pu-Kun Liu are both professors at Peking University.
Based on the technical accumulation and practice of Huawei iLab in the Cloud VR field, this book systematically describes the advantages of Cloud VR technologies; technical requirements on clouds, networks, and terminals as well as solution implementation; Cloud VR experience evaluation baselines and methods; and current business practices. Cloud VR introduces cloud computing and cloud rendering to VR services. With fast and stable networks, cloud-based display output and audio output are coded, compressed, and transmitted to user terminals, implementing cloud-based VR service content and content rendering. Cloud VR has stringent requirements on bandwidth and latency, making it a proficient application for 5G and gigabit home broadband networks in the era of "dual G". As the first advocate of Cloud VR, Huawei iLab developed the first prototype of the Cloud VR technical solution, initiated the industry’s first Cloud VR industry cooperation plan – VR OpenLab with partners – and incubated the world’s first Cloud VR commercial project with China Mobile Fujian. Cloud VR: Technology and Application is the first official publication of Huawei iLab’s research and practice achievements. It systematically and thoroughly introduces the Cloud VR concept, solution architecture, key technologies, and business practices and is of great value in academic and social applications. This book is easy to understand, practical, and suitable for VR vendors, VR technology enthusiasts, carriers, network vendors, cloud service providers, universities, and other enterprises and scientific research institutes.
Metal Powder—Based Additive Manufacturing Highly comprehensive resource covering all key aspects of the current developments of metal powder—based additive manufacturing Metal Powder—Based Additive Manufacturing provides valuable knowledge and critical insights regarding the recent advances in various metal powder—based additive manufacturing techniques. This book also reviews typical powder preparation processes and highlights the significance of metal powder—based additive manufacturing for various industrial applications. The key features covered in this book: A rigorous overview of the underlying theories and practical applications of metal powder—based additive manufacturing techniques, including laser powder bed fusion, electron beam melting, laser-based directed energy deposition, and metal binder jetting. An expansive introduction of each technique and its significance pertaining to the printing processes, metallurgical defects, powder materials, equipment, and the microstructures and mechanical properties of the printed parts. A deep exploration of the preparation processes of metal powders for additive manufacturing and the effects of different processes on the powder properties. Comprehensive case studies of parts printed by metal powder—based additive manufacturing for various industrial applications. By providing extensive coverage of relevant concepts in the field of metal powder—based additive manufacturing, this book highlights its essential role in Industry 4.0 and serves as a valuable resource for scientists, engineers, and students in materials science, powder metallurgy, physics, and chemistry. The rich research experience of the authors in additive manufacturing ensures that the readers are provided with both an in-depth understanding and informative technical guidance of metal powder—based additive manufacturing.
This book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a broad array of applications. In addition to a historical review of the topic, its connection to other widely used statistical methods, such as multivariate analysis of variance (MANOVA), discriminant analysis, principal components, canonical correlation analysis, and errors-in-variables models, is also discussed. This new edition incorporates Big Data methodology and its applications, as well as high-dimensional reduced-rank regression, generalized reduced-rank regression with complex data, and sparse and low-rank regression methods. Each chapter contains developments of basic theoretical results, as well as details on computational procedures, illustrated with numerical examples drawn from disciplines such as biochemistry, genetics, marketing, and finance. This book is designed for advanced students, practitioners, and researchers, who may deal with moderate and high-dimensional multivariate data. Because regression is one of the most popular statistical methods, the multivariate regression analysis tools described should provide a natural way of looking at large (both cross-sectional and chronological) data sets. This book can be assigned in seminar-type courses taken by advanced graduate students in statistics, machine learning, econometrics, business, and engineering.
This book presents research advances in automotive AC systems using an interdisciplinary approach combining both thermal science, and automotive engineering. It covers a variety of topics, such as: control strategies, optimization algorithms, and diagnosis schemes developed for when automotive air condition systems interact with powertrain dynamics. In contrast to the rapid advances in the fields of building HVAC and automotive separately, an interdisciplinary examination of both areas has long been neglected. The content presented in this book not only reveals opportunities when interaction between on-board HVAC and powertrain is considered, but also provides new findings to achieve performance improvement using model-based methodologies.
This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.
This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"--Publisher's website.
This SpringerBrief examines the use of cheap commercial passive RFID tags to achieve accurate device-free object-tracking. It presents a sensitive detector, named Twins, which uses a pair of adjacent passive tags to detect uncooperative targets (such as intruders). Twins leverages a newly observed phenomenon called critical state that is caused by interference among passive tags. The author expands on the previous object tracking methods, which are mostly device-based, and reveals a new interference model and their extensive experiments for validation. A prototype implementation of the Twins-based intrusion detection scheme with commercial off-the-shelf reader and tags is also covered in this SpringerBrief. Device-Free Object Tracking Using Passive Tags is designed for researchers and professionals interested in smart sensing, localization, RFID and Internet of Things applications. The content is also useful for advanced-level students studying electrical engineering and computer science.
Alzheimer's disease (AD), the most common form of neurodegenerative disorder in the elderly, is characterised pathologically by extracellular amyloid plaques and intracellular neurofibrillary tangles, pathophysiologically by synaptic dysfunction, and clinically by a progressive decline in cognition. Currently, AD has no cure and its prevalence is predicted to triple by 2050 with the rapid increase in the ageing population, unless more effective treatments are developed. Since the publication of the second book volume, the rapid progress in the research fields of AD and dementia continues through the intensive efforts of research scientists worldwide. This third book volume contains 15 chapters, bringing together a presentation of research frontiers in current AD/dementia research. The topics include molecular genetics of AD, gene expression abnormalities in AD progression, presenilins, taupathy in AD, single -induced(neuron gene expression abnormalities in AD, intracellular A neurodegeneration, roles of lipoprotein receptors in AD onset and progression, cholesterol and tau hyperphosphorylation, AD diagnostics and therapeutic strategies, in vivo visualisation of amyloid-like structures, cathepsin B, antiamyloidogenesis and neuroprotection, environmental enrichment, Fragile X mental retardation gene and dementia, category learning in Parkinson's disease, cerebrovascular disease and dementia, and dementia and hypertension. These chapters cover current advances in our understanding of the pathogenic mechanisms underlying AD and dementia, in the diagnosis of early AD and dementia, and in the development of therapeutic agents that target memory-relevant AD pathogenesis. The book will be highly valuable to students and scientists worldwide who are interested in the scientific research progress in AD and dementia.
Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science. Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.
Natural Polyphenols from Wood: Tannin and Lignin – An Industrial Perspective is a detailed guide to the sourcing and processing of tannin and lignin for valuable advanced applications across areas such as fuels, chemicals, drugs, and food. Drawing on the latest academic research and patent literature, this book provides strong practical understanding of the use of these valuable materials in novel industrial applications. This book introduces natural polyphenols from wood and the fundamental aspects of carbon management within the tree. In-depth presentation of extraction and characterization methods is followed by an extensive coverage of practical and industrial applications of wood polyphenols. This is an essential resource for researchers and advanced students working with lignin or tannin, and across biopolymer science, biomass, wood chemistry, paper, wood adhesives, polymer materials, renewable resources, and biotechnology. It also supports industrial R&D and scientists working with wood polyphenols or bio-based polymers. - This book re-evaluates wood polyphenols from an industrial perspective, revealing the latest techniques and drawing on patent literature. - It addresses fundamental issues of wood polyphenols, such as carbon cycle, wood fractionation, structure, and properties. - It offers a comprehensive review of practical applications, including lignin depolymerization, wood reconstruction, fuels, chemicals, drugs, and food.
In this book, the authors cover the recent progress in the synthesis, characterization and application of various multi-layered carbides, carbonitrides and nitrides. Moreover, the processing and development of MXene-based composites are elaborated, focusing on their applications and performances as transparent conductors in environmental remediation and energy storage systems.
High temperature phase equilibria studies play an increasingly important role in materials science and engineering. It is especially significant in the research into the properties of the material and the ways in which they can be improved. This is achieved by observing equilibrium and by examining the phase relationships at high temperature. The study of high temperature phase diagrams of nonmetallic systems began in the early 1900s when silica and mineral systems containing silica were focussed upon. Since then technical ceramics emerged and more emphasis has been placed on high temperature studies. This book covers many aspects, from the fundamentals of phase diagrams, experimental and computational methods, applications, to the results of research. It provides an excellent source of information for a range of scientists such as materials scientists, especially ceramicists, metallurgists, solid-state physicists and chemists, and mineralogists.
This book introduces readers to the development of novel optical biosensors for environmental analysis. Environmental pollution has now become a serious problem, which threatens the health of human beings. Traditional analytical methods have a number of drawbacks, such as the need for professional operators and complicated instruments. After millions of years of evolution, biomolecules can perform various functions with good accuracy and efficiency due to their unique structures, offering a viable alternative to traditional methods. This work focuses on using new biological sensing strategies, e.g. those based on special biomaterials, bio-reactions or living cells, to establish novel biosensors. As these biosensors offer satisfactory optical response performance, they can be used to transform the recognition behavior of specific targets into optical signals and effectively detect target objects.
Provides both fundamentals and new and emerging applications Advanced Drug Delivery brings readers fully up to date with the state of the science, presenting the basics, formulation strategies, and therapeutic applications of advanced drug delivery. The book demonstrates how core concepts of pharmaceutical sciences, chemistry, and molecular biology can be combined and applied in order to spark novel ideas to design and develop advanced drug delivery systems for the treatment of a broad range of human diseases. Advanced Drug Delivery features contributions from an international team of pharmaceutical scientists. Chapters reflect a thorough review and analysis of the literature as well as the authors' firsthand experience developing drug delivery systems. The book is divided into four parts: Part I, Introduction and Basics of Advanced Drug Delivery, explores physiological barriers, stability, transporters, and biomaterials in drug delivery Part II, Strategies for Advanced Drug Delivery, offers tested and proven strategies for advanced delivery of both small molecules and macromolecules Part III, Translational Research of Advanced Drug Delivery, focuses on regulatory considerations and translational applications of advanced drug delivery systems for the treatment of cardiovascular diseases, cancer, sexually transmitted diseases, ophthalmic diseases, and brain diseases Part IV, Future Applications of Advanced Drug Delivery in Emerging Research Areas, examines stem cell research, cell-based therapeutics, tissue engineering, and molecular imaging Each chapter provides objectives and assessment questions to help readers grasp key concepts and assess their knowledge as they progress through the book. Advanced Drug Delivery is recommended for graduates and upper-level undergraduates in the pharmaceutical sciences who need a solid foundation in the basics. It is also recommended for pharmaceutical professionals who want to take advantage of new and emerging applications in advanced drug delivery systems.
Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.
Material is a key to the experimental observation of novel quantum phenomena predicted in topological insulators. In this chapter, we review the recent theoretic and experimental efforts devoted to improving the existing topological insulator materials and exploring new topological insulators. The emphasis is on growth and engineering of the properties of topological insulator thin films by molecular beam epitaxy for realization of various quantum effects.
This book provides an in-depth examination of recent research advances in cloud-edge-end computing, covering theory, technologies, architectures, methods, applications, and future research directions. It aims to present state-of-the-art models and optimization methods for fusing and integrating clouds, edges, and devices. Cloud-edge-end computing provides users with low-latency, high-reliability, and cost-effective services through the fusion and integration of clouds, edges, and devices. As a result, it is now widely used in various application scenarios. The book introduces the background and fundamental concepts of clouds, edges, and devices, and details the evolution, concepts, enabling technologies, architectures, and implementations of cloud-edge-end computing. It also examines different types of cloud-edge-end orchestrated systems and applications and discusses advanced performance modeling approaches, as well as the latest research on offloading and scheduling policies. It also covers resource management methods for optimizing application performance on cloud-edge-end orchestrated systems. The intended readers of this book are researchers, undergraduate and graduate students, and engineers interested in cloud computing, edge computing, and the Internet of Things. The knowledge of this book will enrich our readers to be at the forefront of cloud-edge-end computing.
This book presents a mixed-methods study that explores the development of intercultural competence among local Chinese students in Chinese universities, using Deardorff’s process model of intercultural competence as a theoretical framework. In the global higher education context, “internationalization at home” is significant in (re)shaping educational practices, especially under the influence of the COVID-19 pandemic. Chinese higher education is also actively engaged in domestic internationalization. Specifically, this book explores the factors that influence Chinese students’ development of intercultural competence and their understanding of it in the context of internationalization at local Chinese universities. The findings suggest that many universities in China are trying to improve domestic students’ intercultural competence through various strategies, such as foreign language learning, extracurricular intercultural communication activities, and international cooperation programs. Notably, the effects are diverse. Based on these findings, this book also discusses the potential theoretical, practical, and policy implications. This book will be an excellent resource for students and scholars in comparative and international education, student development, cultural studies, Chinese studies, and those interested in Chinese higher education.
This book provides readers with the basic understanding regarding the threats to the voice processing systems, the state-of-the-art defense methods as well as the current research results on securing voice processing systems.It also introduces three mechanisms to secure the voice processing systems against malicious voice attacks under different scenarios, by utilizing time-domain signal waves, frequency-domain spectrum features, and acoustic physical attributes. First, the authors uncover the modulated replay attack, which uses an inverse filter to compensate for the spectrum distortion caused by the replay attacks to bypass the existing spectrum-based defenses. The authors also provide an effective defense method that utilizes both the time-domain artifacts and frequency-domain distortion to detect the modulated replay attacks. Second, the book introduces a secure automatic speech recognition system for driverless car to defeat adversarial voice command attacks launched from car loudspeakers, smartphones, and passengers. Third, it provides an acoustic compensation system design to reduce the effects from the spectrum reduction attacks, by the audio spectrum compensation and acoustic propagation principle. Finally, the authors conclude with their research effort on defeating the malicious voice attacks and provide insights into more secure voice processing systems. This book is intended for security researchers, computer scientists, and electrical engineers who are interested in the research areas of biometrics, speech signal processing, IoT security, and audio security. Advanced-level students who are studying these topics will benefit from this book as well.
Presents new developments on machine tool vibration control based on discontinuous dynamical systems Machining instability is a topical area, and there are a wide range of publications that cover the topic. However, many of these previous studies have started by assuming that the behavior of the system can be linearised. Meanwhile, there are many recent advances in the fields of signal processing, nonlinear dynamics, and nonlinear control, all of which are relevant to the machining stability problem. This book establishes the fundamentals of cutting mechanics and machine tool dynamics in the simultaneous time-frequency domain. The new nonlinear control theory developed by the authors that facilitates simultaneous control of vibration amplitude in the time-domain and spectral response in the frequency-domain provides the foundation for the development of a controller architecture universally viable for the control of dynamic instability including bifurcation and chaos. Once parameters underlying the coupling, interaction, and evolution of different cutting states and between the tool and workpiece are established, they can then be incorporated into the architecture to create a control methodology that mitigate machining instability and enable robust, chatter-free machine tool design applicable in particular to high speed micro- and nano-machining. Presents new developments on machine tool vibration control based on discontinuous dynamical systems Provides a clear and concise approach to the understanding and control of machine tool and workpiece vibrations from an alternative view, contributing to an in-depth understanding of cutting dynamics and robust control of machining instability Equips the reader with the knowledge to understand the dynamics of cutting and operation of machine-tool systems in different conditions as well as the concept of cutting instability control Includes data examples in MATLAB coding
Optical Fiber Sensing Technologies/ b Explore foundational and advanced topics in optical fiber sensing technologies In Optical Fiber Sensing Technologies: Principles, Techniques, and Applications, a team of distinguished researchers delivers a comprehensive overview of all critical aspects of optical fiber sensing devices, systems, and technologies. The book moves from the basic principles of the technology to innovation methods and a broad range of applications, including Bragg grating sensing technology, intra-cavity laser gas sensing technology, optical coherence tomography, distributed vibration sensing, and acoustic sensing. The accomplished authors bridge the gap between innovative new research in the field and practical engineering solutions, offering readers an unmatched source of practical, application-ready knowledge. Ideal for anyone seeking to further the boundaries of the science of optical fiber sensing or the technological applications for which these techniques are used, Optical Fiber Sensing Technologies: Principles, Techniques, and Applications also includes: Thorough introductions to optical fiber and optical devices, as well as optical fiber Bragg grating sensing technology Practical discussions of Extrinsic-Fabry-Perot-Interferometer-based optical fiber sensing technology, acoustic sensing technology, and high-temperature sensing technology Comprehensive explorations of assemble free micro-interferometer-based optical fiber sensing technology In-depth examinations of optical fiber intra-cavity laser gas sensing technology Perfect for applied and semiconductor physicists, Optical Fiber Sensing Technologies: Principles, Techniques, and Applications is also an invaluable resource for professionals working in the semiconductor, optical, and sensor industries, as well as materials scientists and engineers for measurement and control.
Suitable for students with three or more years of modern Chinese language instruction, Anything Goes uses advanced materials to reinforce language skills and increase understanding of contemporary China in one semester. This fully revised edition provides learners with a deeper fluency in high-level Chinese vocabulary and grammar, and includes newspaper articles and critiques as well as other primary source documents, such as political speeches and legal documents. The textbook covers topics that are essential to understanding contemporary Chinese society, including changing attitudes toward women and marriage, the one-child policy, economic development, China's ethnic minorities, and debates surrounding Taiwan and Hong Kong. The lessons intentionally investigate thought-provoking and sometimes controversial issues in order to spark lively classroom discussions. This new edition incorporates suggestions and improvements from years of student and teacher feedback. With an improved, more user-friendly format, Anything Goes juxtaposes text and vocabulary on adjacent pages. Grammar explanations and exercises have also been thoroughly updated. Advanced-level Chinese language textbook Includes newspaper articles and primary source documents Thought-provoking topics on contemporary Chinese society Updated grammar explanations and exercises New user-friendly format
This timely book provides broad coverage of security and privacy issues in the macro and micro perspective. In macroperspective, the system and algorithm fundamentals of next-generation wireless networks are discussed. In micro-perspective, this book focuses on the key secure and privacy techniques in different emerging networks from the interconnection view of human and cyber-physical world. This book includes 7 chapters from prominent international researchers working in this subject area. This book serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to wireless security and privacy related issues Recent advances in wireless communication technologies have enabled the large-scale deployment of next-generation wireless networks, and many other wireless applications are emerging. The next generation of mobile networks continues to transform the way people communicate and access information. As a matter of fact, next-generation emerging networks are exploiting their numerous applications in both military and civil fields. For most applications, it is important to guarantee high security of the deployed network in order to defend against attacks from adversaries, as well as the privacy intrusion. The key target in the development of next-generation wireless networks is to promote the integration of the human, cyber, and physical worlds. Previous work in Cyber Physical Systems (CPS) considered the connection between the cyber world and the physical world. In the recent studies, human involvement brings new channels and initiatives in this interconnection. In this integration process, security and privacy are critical issues to many wireless network applications, and it is a paramount concern for the growth of next-generation wireless networks. This is due to the open nature of wireless communication and the involvement of humans. New opportunities for tackling these security and privacy issues in next-generation wireless networks will be achieved by leveraging the properties of interaction among human, computers and things.
This book introduces and illustrates modeling, sensing, and control methods for analyzing, designing, and developing spherical motors. It systematically presents models for establishing the relationships among the magnetic fields, position/orientation and force/torque, while also providing time-efficient solutions to assist researchers and engineers in studying and developing these motors. In order to take full advantage of spherical motors’ compact structure in practical applications, sensing and control methods that utilize their magnetic fields and eliminate the need to install external sensors for feedback are proposed. Further, the book investigates for the first time spherical motors’ force/torque manipulation capability, and proposes algorithms enabling the ball-joint-like end-effector for haptic use based on these motors’ hybrid position/force actuation modes. While systematically presenting approaches to their design, sensing and control, the book also provides many examples illustrating the implementation issues readers may encounter.
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