The current drug development paradigm---sometimes expressed as, ``One disease, one target, one drug''---is under question, as relatively few drugs have reached the market in the last two decades. Meanwhile, the research focus of drug discovery is being placed on the study of drug action on biological systems as a whole, rather than on individual components of such systems. The vast amount of biological information about genes and proteins and their modulation by small molecules is pushing drug discovery to its next critical steps, involving the integration of chemical knowledge with these biological databases. Systematic integration of these heterogeneous datasets and the provision of algorithms to mine the integrated datasets would enable investigation of the complex mechanisms of drug action; however, traditional approaches face challenges in the representation and integration of multi-scale datasets, and in the discovery of underlying knowledge in the integrated datasets. The Semantic Web, envisioned to enable machines to understand and respond to complex human requests and to retrieve relevant, yet distributed, data, has the potential to trigger system-level chemical-biological innovations. Chem2Bio2RDF is presented as an example of utilizing Semantic Web technologies to enable intelligent analyses for drug discovery.Table of Contents: Introduction / Data Representation and Integration Using RDF / Data Representation and Integration Using OWL / Finding Complex Biological Relationships in PubMed Articles using Bio-LDA / Integrated Semantic Approach for Systems Chemical Biology Knowledge Discovery / Semantic Link Association Prediction / Conclusions / References / Authors' Biographies
Chinese traders and explorers first visited the Maldives, an archipelago in the Indian Ocean, in the early fourteenth century. The traveler Wang Dayuan “discovered” the island sultanate for the Chinese world, and merchants increasingly dealt in Maldivian goods such as coconuts, cowrie shells, and ambergris. Zheng He’s fifteenth-century voyages ventured to the islands, by then a trading hub, and brought their envoys to Beijing. But the Maldives faded from Chinese records by the end of the sixteenth century, after the Ming state suddenly retreated from the Indian Ocean and shifted focus to Southeast Asia. Discovered but Forgotten is a pioneering examination of China’s relations with the Maldives and Sino-Indian Ocean interactions, offering new ways to understand Chinese maritime exploration and the global history of the Indian Ocean. Drawing on a wide range of sources—including written records, Chinese and Jesuit maps, and archaeological analysis of shipwrecks—Bin Yang provides a comprehensive account of Chinese links to the Maldives and the Indian Ocean world from ancient times through the late Ming era. He scrutinizes Chinese understandings of the islands, emphasizing both seafaring material culture and textual knowledge production. Yang reconsiders the works of travelers such as Marco Polo and Ibn Battuta in light of Chinese explorations, and he opens a window onto a colorful world of intriguing commodities, port marriages, and voyages across the vast waters of maritime Asia. Transregional and interdisciplinary, Discovered but Forgotten reveals how a remote archipelago shaped the vast Chinese empire.
In the 1960s and 1970s, around 17 million Chinese youths were mobilized or forced by the state to migrate to rural villages and China's frontiers. Bin Xu tells the story of how this 'sent-down' generation have come to terms with their difficult past. Exploring representations of memory including personal life stories, literature, museum exhibits, and acts of commemoration, he argues that these representations are defined by a struggle to reconcile worthiness with the political upheavals of the Mao years. These memories, however, are used by the state to construct an official narrative that weaves this generation's experiences into an upbeat story of the 'China dream'. This marginalizes those still suffering and obscures voices of self-reflection on their moral-political responsibility for their actions. Xu provides careful analysis of this generation of 'Chairman Mao's children', caught between the political and the personal, past and present, nostalgia and regret, and pride and trauma.
Originating in the sea, especially in the waters surrounding the low-lying islands of the Maldives, Cypraea moneta (sometimes confused with Cypraea annulus) was transported to various parts of Afro-Eurasia in the prehistoric era, and in many cases, it was gradually transformed into a form of money in various societies for a long span of time. Yang provides a global examination of cowrie money within and beyond Afro-Eurasia from the archaeological period to the early twentieth century. By focusing on cowrie money in Indian, Chinese, Southeast Asian and West African societies and shell money in Pacific and North American societies, Yang synthsises and illustrates the economic and cultural connections, networks and interactions over a longue durée and in a cross-regional context. Analysing locally varied experiences of cowrie money from a global perspective, Yang argued that cowrie money was the first global money that shaped Afro-Eurasian societies both individually and collectively. He proposes a paradigm of the cowrie money world that engages local, regional, transregional and global themes.
This is a timely, interdisciplinary scientific overview of the atmosphere, the ocean and the land surface as it interacts with physical, chemical and biological processes. The high level of detail sets it apart from other studies of monsoon meteorology. The text includes analysis of paleoclimate records, human influences on the monsoon climate and the economic impacts of the monsoon on economies and to human health.
In the context of global efforts to control the production, distribution and use of narcotic drugs, China's treatment of the problem provides an important means of understanding the social, political, and economic limits of national and international policies to regulate drug practices. In the nineteenth and early twentieth centuries, China was known for its national addiction to opium, but its drug-eradication campaigns from the 1950s to the 1970s achieved unprecedented success that ultimately transformed China into a "drug-free" society. However, since the economic reforms and open-door policy of the late twentieth century, China is now facing a re-emergence of the production, use and trafficking of narcotic drugs. Employing case studies and a comparative historical approach, and drawing on a variety of data sources including historical records, official crime data only recently made available, and news reports, this book is the first English-language publication to provide such a comprehensive documentation and analysis of the nature of China's legal regulation of controlled substances. The authors also offer theoretical approaches for studying drug regulation, aspects of drug consumption cultures, the socio-political treatment of drugs during various historical periods and ongoing efforts to legislate drug trade, criminalize drug use and manage the drug addict population within national and international contexts.
This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things. Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.
Polymers have been used as dielectric materials owing to their light weight, great flexibility, and processability as well as high insulation properties. To enhance their performance for various desired dielectric applications, fabrication of polymeric nanocomposites is believed to be one of the most effective approaches. By controlling the nanomaterial dispersion and interfacial structures with the polymer matrices in nanocomposites, dielectric properties can be tailored for specific applications. This book reviews representative polymer nanocomposite systems, focusing on the roles of nanodispersion, interfacial structures, and properties of polymer matrix materials in the dielectric properties and energy storage performance. The book reviews various dielectric relaxation models applicable to the analysis of polymer nanocomposites. It compiles the recent progress in new dielectric polymer nanocomposites based on biomaterials and hybrid nanomaterial systems for advanced dielectric applications.
This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users’ behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users’ behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.
Due to the increasing security and reliability demand of actual industrial process control systems, the study on fault diagnosis and fault tolerant control of dynamic systems has received considerable attention. Fault accommodation (FA) is one of effective methods that can be used to enhance system stability and reliability, so it has been widely and in-depth investigated and become a hot topic in recent years. Fault detection is used to monitor whether a fault occurs, which is the first step in FA. On the basis of fault detection, fault estimation (FE) is utilized to determine online the magnitude of the fault, which is a very important step because the additional controller is designed using the fault estimate. Compared with fault detection, the design difficulties of FE would increase a lot, so research on FE and accommodation is very challenging. Although there have been advancements reported on FE and accommodation for dynamic systems, the common methods at the present stage have design difficulties, which limit applications of respective design approaches. Therefore, the problems of FE and accommodation are needed to be further studied. This book considers the theory and technology of FE and accommodation for dynamic systems, and establishes a systemic and comprehensive framework of FE and accommodation for continuous/discrete-time systems.
Shape memory polymers (SMPs) are some of the most important and valuable engineering materials developed in the last 25 years. These fascinating materials demonstrate remarkably versatile properties—including capacity for actuation and stimulus responsiveness—that are enabling technologists to develop applications used to explore everything from the outer reaches of space to the inside of the human body. Polyurethane Shape Memory Polymers details the fundamentals of SMP makeup, as well as their shape-recovery features and their seemingly endless potential for use in applications ranging from the macro- to submicron scales. With an abundance of illustrations and vivid pictures to explain how SMPs and their composites work and how they can be used, this book covers: History and most recent developments in SMPs Thermomechanical properties and behavior of the polymers and their composites Modification of SMPs and novel actuation mechanisms Large-scale surface pattern generation Multi-shape memory effect Fabrication techniques Characterization of composites A must-have reference for anyone working in the materials science and engineering fields, this book outlines the properties—such as light weight, low cost, and ability to handle high strain—that make the easily processed SMPs so useful in fields including aerospace, biomedicine, and textiles. It is intended to help readers understand and apply the knowledge and techniques presented to develop new innovations that will further benefit society.
This book focuses on distributed event-triggered control of multi-agent systems, in which the event-triggering mechanism is utilized to reduce the communication frequencies in order to compensate for constrained network bandwidths, an aspect that poses significant challenges for distributed control design. The book summarizes the authors’ original, systematic contributions on scalability and robustness, two core issues in distributed event-triggered control. Specifically, the book presents fully distributed adaptive event-triggered control laws; as they rely on neither continuous communications nor global information on the network, these laws are scalable with regard to network size and topology. Moreover, the book provides novel and robust event-triggered algorithms, which can accommodate various frequency-domain and matching uncertainties. The results presented here are applicable to UAV swarms, automobile systems, aerospace systems, vehicle platooning, and more, and will be of considerable interest to graduate students, researchers, and engineers working on network control systems.
Few social issues have received more public attention and scholarly debate than the death penalty. While the abolitionist movement has made a successful stride in recent decades, a small number of countries remain committed to the death penalty and impose it with a relatively high frequency. In this regard, the People’s Republic of China no doubt leads the world in both numbers of death sentences and executions. Despite being the largest user of the death penalty, China has never conducted a national poll on citizens’ opinions toward capital punishment, while claiming “overwhelming public support” as a major justification for its retention and use. Based on a content analysis of 38,512 comments collected from 63 cases in 2015, this study examines the diversity and rationales of netizens’ opinions of and interactions with China’s criminal justice system. In addition, the book discusses China’s social, systemic, and structural problems and critically examines the rationality of netizens’ opinions based on Habermas’s communicative rationality framework. Readers will be able to contextualize Chinese netizens’ discussions and draw conclusions about commonalities and uniqueness of China’s death penalty practice.
In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.
This book summarizes the current knowledge of anthocyanins, provides systematic information for future exploration of anthocyanin applications. It focuses on several aspects regarding the studying progression in the field of anthocyanins. The first section of the book provides a brief introduction to the scope and progress on anthocyanins, which is followed by the second section that describes the natural sources, structure, extraction approaches, bioavailability, and current stabilizing approach of anthocyanins. Then in the third part, the book focuses on the industrial processing of anthocyanins in foods by discussing the impact of food processing on anthocyanin structure and composition as well as classical processing techniques on anthocyanin-containing foods, including high-pressure, encapsulation, microwave, and combined application of the above techniques. In the last section of the book, the authors explore the currently most popular application of anthocyanins in improving human health, such as the effect of anthocyanin on vision, metabolism, neural system, cardiovascular system, and cancers. The book will facilitate readers’ understanding of the progress of anthocyanin studies. And it will benefit researchers and graduate students in the fields of natural products, functional food, and nutrition, etc.
The Qing state, driven by Confucian precepts of good government and urgent practical needs, committed vast resources to its granaries. Nourish the People traces the basic practices of this system, analyzes the organizational bases of its successes and failures, and examines variant practices in different regions. The volume concludes with an assessment of the granary system’s social and economic impact and historical comparison with the food supply policies of other states.
In this volume, Prof. Ye and his coworkers propose and review the concept of nano-bio probe design for biochemical analysis on the basis of their recent published works. A unique biochemical analysis technology based on fluorescence polarization enhanced by nanoparticles is described here with successful applications in environmental monitoring, rapid and sensitive sensing protease activity and high-throughput screening of inhibitors. Furthermore, they introduce a versatile molecular beacon (MB)-like probe for the multiplex sensing of targets such as sequence-specific DNA, protein, metal ions and small molecule compounds based on the self-assembled biomolecule-graphene conjugates. Besides, some colorimetric and luminescence probes utilizing metal nanoparticles for biochemical applications are also presented, such as chiral enantiomer discrimination and separation, environmental monitoring, clinic diagnosis and etc.
Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two decades. Grid-based estimation techniques are based on efficient and precise numerical integration rules to improve performance of the traditional Kalman filtering based estimation for nonlinear and uncertainty dynamic systems. The unscented Kalman filter, Gauss-Hermite quadrature filter, cubature Kalman filter, sparse-grid quadrature filter, and many other numerical grid-based filtering techniques have been introduced and compared in this book. Theoretical analysis and numerical simulations are provided to show the relationships and distinct features of different estimation techniques. To assist the exposition of the filtering concept, preliminary mathematical review is provided. In addition, rather than merely considering the single sensor estimation, multiple sensor estimation, including the centralized and decentralized estimation, is included. Different decentralized estimation strategies, including consensus, diffusion, and covariance intersection, are investigated. Diverse engineering applications, such as uncertainty propagation, target tracking, guidance, navigation, and control, are presented to illustrate the performance of different grid-based estimation techniques.
Climate change and rapid urbanization have significant impacts on biodiversity and ecosystem functions and services. Nature-based solutions (NBS) is an action to work with and enhance nature to solve social challenges, and NBS is an "umbrella concept" for other mature nature-based approaches. Blue-green spaces (BGS) can provide a wide range of ecosystem services, including mitigation of urban heat island effects, reduction of flooding, mitigation of air pollution, and provision of recreational spaces, thereby promoting physical and mental health. Hence, NBSs can serve as cost-effective climate mitigation and adaptation tool that contribute to additional co-benefits for ecosystem health and human well-being. Environmentalists, epidemiologists, ecologists, urban planners, and policymakers have paid more attention to NBSs for urban resilience and human health. In this Research Topic, we hope to discuss these topics: (1) ecological exposure and health benefits; (2) climate adaptation and human health promotion possibilities by NBSs; (3) methodological and theoretical approaches as well as technologies of NBSs corresponding to urban resilience; (4) underlying pathways and potential mechanisms of NBSs in improving human health; and (5) policies and management for planning and design of the successful implementation of NBSs in relation to urban resilience and human health. This Research Topic focuses on, but is not restricted to the following issues: • Nature-based interventions for climate adaptation. • Ecological exposure and physical and psychological health outcomes. • Climate adaption environmental policies and management. • Theoretical and case-based studies on climate mitigation and adaption by NBSs • Ecosystem service perspective on promoting urban resilience. This Research Topic welcomes the following types of manuscripts: Original Research, Hypothesis and Theory, Review, and Perspective.
A modern classic, Shang Yun-Xiang Style Xingyiquan is essential for Xingyiquan practitioners and a useful guide for any practitioner of the Chinese martial arts. While focusing on Shang-style Xingyiquan (derived from author Li Wen-Bin's training under Grandmaster Shang Yun-Xiang), this book clearly breaks down the fundamentals of those movements and forms found in all of Xingyiquan (and other internal martial arts). Rather than simply presenting the traditional, often-cryptic poetry or "songs" to impart martial concepts, Li goes into great detail to explain to readers of all levels the finer points of Xingyi training. Featuring hundreds of original photographs and step-by-step explanation of movements, Shang Yun Xiang Style Xingyiquan is an excellent companion to Xingyiquan training of any style or school. Table of Contents Chapter 1 In Search of the Missing Points in the Origin of Xing Yi Quan Techniques Chapter 2 Features of Shang Yun-Xiang Style Xing Yi Quan Chapter 3 The Foundation for Xing Yi Gong Fu Chapter 4 Wu Xing Quan 五行拳(Five Element Fist) Chapter 5 Jin Tui Lian Huan Quan 进退连环拳 ( Advance & Retreat Linking Fist) Chapter 6 Traditional Xing Yi Weapons
Computational Welding Mechanics for Engineering Application: Buckling Distortion of Thin Plate and Residual Stress of Thick Plate deals with two special issues in the field of computational welding mechanics: buckling distortion of thin plate and residual stress of thick plate. Through experiment, theory, and computational analysis, the authors systematically introduce the latest progress and achievements of computational welding mechanics, such as weld buckling in lightweight fabrication and residual stress in HTSS thick plate welding. In addition, they also explore its application to address real-world engineering problems in advanced manufacturing, such as precision manufacturing and mechanical performance evaluation. The book will be of interest to scholars and engineers of computational welding mechanics who wish to represent the welding mechanics response, predict the distribution and magnitude of mechanical variables, or optimize the welding technique to improve the manufacturing quality.
This book provides readers a good understanding on how to achieve Fault Tolerant Control goal of Hybrid Systems. It presents important theoretical results as well as their applications.
Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems. The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book: Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental results Provides a step-by-step design procedure for the development of predictive control schemes for various WECS configurations Describes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniques Presents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission. Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses.
This book focuses on the fault-tolerant cooperative control (FTCC) of multiple unmanned aerial vehicles (multi-UAVs). It provides systematic and comprehensive descriptions of FTCC issues in multi-UAVs concerning faults, external disturbances, strongly unknown nonlinearities, and input saturation. Further, it addresses FTCC design from longitudinal motions to attitude motions, and outer-loop position motions of multi-UAVs. The book’s detailed control schemes can be used to enhance the flight safety of multi-UAVs. As such, the book offers readers an in-depth understanding of UAV safety in cooperative/formation flight and corresponding design methods. The FTCC methods presented here can also provide guidelines for engineers to improve the safety of aerospace engineering systems. The book offers a valuable asset for scientists and researchers, aerospace engineers, control engineers, lecturers and teachers, and graduates and undergraduates in the system and control community, especially those working in the field of UAV cooperation and multi-agent systems.
This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Focusing on methods that can speed up large-scale gradient optimization through both algorithm optimizations and careful system implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed machine learning model: parallel strategy, data compression and synchronization protocol. Written in a tutorial style, it covers a range of topics, from fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appeal to a broad audience in the field of machine learning, artificial intelligence, big data and database management.
The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering). This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.
Flexible Piezoelectric Energy Harvesters and Sensors A systematic and complete discussion of the latest progress in flexible piezoelectric energy harvesting and sensing technologies In Flexible Piezoelectric Energy Harvesters and Sensors, a team of distinguished researchers delivers a comprehensive exploration of the design methods, working mechanisms, microfabrication processes, and applications of flexible energy harvesters for wearable and implantable devices. The book discusses the monitoring of normal force, shear force, strain, and displacement in flexible sensors, as well as relevant artificial intelligence algorithms. Readers will also find an overview of design and research challenges facing professionals in the field, as well as a variety of perspectives on flexible energy harvesters and sensors. With an extensive focus on the use of flexible piezoelectric material technologies for medical applications, Flexible Piezoelectric Energy Harvesters and Sensors also includes: A thorough introduction to the working principles of piezoelectric devices, including discussions of flexible PEH and piezoelectric sensors Comprehensive treatments of the design of flexible piezoelectric energy harvesters, including the challenges associated with their structural design Fulsome explanations of the fabrication of flexible piezoelectric energy harvesters, including piezoelectric ceramic thin and think films In-depth treatments of cantilever piezoelectric energy harvesters, including optimized cantilever, bimorph, and optimized bimorph PEH Perfect for materials scientists, electronics engineers, and solid-state physicists, Flexible Piezoelectric Energy Harvesters and Sensors will also earn a place in the libraries of sensor developers, and surface physicists.
This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms. On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE. In addition, it presents three efficient and scalable advanced graph algorithms – the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology for designing efficient large-scale graph algorithms.
Graphene for Post-Moore Silicon Optoelectronics Provides timely coverage of an important research area that is highly relevant to advanced detection and control technology Projecting device performance beyond the scaling limits of Moore’s law requires technologies based on novel materials and device architecture. Due to its excellent electronic, thermal, and optical properties, graphene has emerged as a scalable, low-cost material with enormous integration possibilities for numerous optoelectronic applications. Graphene for Post-Moore Silicon Optoelectronics presents an up-to-date overview of the fundamentals, applications, challenges, and opportunities of integrating graphene and other 2D materials with silicon (Si) technologies. With an emphasis on graphene-silicon (Gr/Si) integrated devices in optoelectronics, this valuable resource also addresses emerging applications such as optoelectronic synaptic devices, optical modulators, and infrared image sensors. The book opens with an introduction to graphene for silicon optoelectronics, followed by chapters describing the growth, transfer, and physics of graphene/silicon junctions. Subsequent chapters each focus on a particular Gr/Si application, including high-performance photodetectors, solar energy harvesting devices, and hybrid waveguide devices. The book concludes by offering perspectives on the future challenges and prospects of Gr/Si optoelectronics, including the emergence of wafer-scale systems and neuromorphic optoelectronics. Illustrates the benefits of graphene-based electronics and hybrid device architectures that incorporate existing Si technology Covers all essential aspects of Gr/Si devices, including material synthesis, device fabrication, system integration, and related physics Summarizes current progress and future challenges of wafer-scale 2D-Si integrated optoelectronic devices Explores a wide range of Gr/Si devices, such as synaptic phototransistors, hybrid waveguide modulators, and graphene thermopile image sensors Graphene for Post-Moore Silicon Optoelectronics is essential reading for materials scientists, electronics engineers, and chemists in both academia and industry working with the next generation of Gr/Si devices.
This book investigates the relationship between information communication and community development in China in the new media age, drawing on theoretical resources from journalism, communication, urban sociology, community management, and the activities of social movements. Contrasting existing scholarship that centers on new technologies and virtual aspects of today’s communication, the study highlights community residents’ daily praxis in real social spaces and the interaction between online and offline communications. Through content analysis, case studies, questionnaire surveys, and in-depth interviews, the author explores the social engagement of communication in public expressions and negotiations among Chinese urban communities. From micro, meso, and macro levels respectively, three interactive mechanisms are discussed: (1) media use and social consciousness and mobilization; (2) new media and changes in community governance; and (3) state-community interplay. Based on these mechanisms, the author proposes the idea of “the construction of grassroots social communication”, exploring approaches to the modernization of social governance and attainment of social interests by optimizing information communication. Communication and Community in the New Media Age will appeal to academics and students studying communication and social transition in China, new media and society, urban sociology, and public governance.
For buildings and factories located near railway or subway lines, the vibrations caused by the moving trains, especially at high speeds, may be annoying to the residents or detrimental to the high-precision production lines. However, there is a lack of simple and efficient tools for dealing with the kind of environmental vibrations, concerning simulation of the radiation of infinite boundaries; irregularities in soils, buildings and wave barriers; and dynamic properties of the moving vehicles. This book is intended to fill such a gap.Compared with the boundary element method (BEM) for solving the half-space problems, the finite/infinite element method (FIEM) presented in this book has the following advantages:• It requires less effort in formulation and computation.• It can be directly incorporated in an existing FEM analysis program.• It is capable of simulating the irregularities in buildings, soils and tunnels.• It can be used to evaluate the efficiency of various wave barriers for vibration reduction.The methodology presented in the book can be adopted to analyze the vibrations caused by road traffic as well.
This book elaborates on the physical principles of polarization remote sensing. It explains the reflective characteristics of surface objects and atmosphere separately, including theory, experiment, instrument and application. In addition, it introduces how polarization remote sensing works in advanced research programs as it can be used in aviation, astronomy, disaster risk prevention and navigation fields. This book serves as a fundamental and comprehensive reference for researchers and students.
Seeking renewable and clean energies is essential for releasing the heavy reliance on mineral-based energy and remedying the threat of global warming to our environment. In the last decade, explosive growth in research and development efforts devoted to microelectromechanical systems (MEMS) technology and nanowires-related nanotechnology have paved a great foundation for new mechanisms of harvesting mechanical energy at the micro/nano-meter scale. MEMS-based inertial sensors have been the enabler for numerous applications associated with smart phones, tablets, and mobile electronics. This is a valuable reference for all those faced with the challenging problems created by the ever-increasing interest in MEMS and nanotechnology-based energy harvesters and their applications. This book presents fundamental physics, theoretical design, and method of modeling for four mainstream energy harvesting mechanisms -- piezoelectric, electromagnetic, electrostatic, and triboelectric. Readers are provided with a comprehensive technical review and historical view of each mechanism. The authors also present current challenges in energy harvesting technology, technical reviews, design requirements, case studies, along with unique and representative examples of energy harvester applications.
This book includes 25 chapters, which are rewritten from 25 most representative publications, and aims to partially summarize our work and motivate further research in this field. All of these achievements stem from joint efforts of all members in our laboratory, including teachers and postgraduates participating in this field of research. We are especially grateful to these teachers for their contributions: Prof. Dr. Zheng-Bo He, Prof. Dr. Liang Qiao, Prof. Dr. Yu-Juan Zhang, Prof. Dr. Ting-Jing Li, Dr. Feng-Ling Si, Dr. Zhen-Tian Yan, Dr. Wen-Bo Fu, Dr. Yong Zhou, Dr. Qi-Yi He, Dr. Shu-Lin He, Dr. Shuang Ren, Dr. Yi-Yun Wei, Dr. Cao Zhou.
The Resource Utilization of Plastic Waste with Supercritical Water Treatment discusses the types of plastic analysis, material characterization, technical principles of supercritical water treatment of waste plastics, the structure and process of the experimental platform, the selection of process parameters, and the establishment of kinetic models in professional areas of the field. - Provides a clear understanding of the basic principles and processes of supercritical water treatment of waste plastics technology - Enables the reader to develop a complete understanding of the experimental methods of supercritical water gasification plastics, liquefied plastics and collaborative treatments of pollutants - Provides an overview of kinetic models, along with the accuracy of modeling results by comparing with experimental results
This book employs a qualitative analysis of China’s publicly financed construction sector, taking the system design as its point of departure and applying comprehensive evaluation techniques to create an index system for this type of construction – which in turn serves as a basis for quantitatively evaluating China’s publicly financed construction sector. Given the fact that China’s publicly financed construction sector is a very complex field of systems engineering involving multiple subsystems, as an important indicator of China’s fiscal innovations since its reform and opening, publicly financed construction is now shifting from theory to practice, demonstrating that China has entered an era of fully publicly financed construction.
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