Yan Wang – författare

Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.

Synthesizes available UQ methods for materials modeling Provides practical tools and examples for problem solving in modeling material behavior across various length scales Demonstrates UQ in density functional theory, molecular dynamics, kinetic Monte Carlo, phase field, finite element method, multiscale modeling, and to support decision making in materials design Covers quantum, atomistic, mesoscale, and engineering structure-level modeling and simulation

Carbon Based Nanomaterials for Advanced Thermal and Electrochemical Energy Storage and Conversion presents a comprehensive overview of recent theoretical and experimental developments and prospects on carbon-based nanomaterials for thermal, solar and electrochemical energy conversion, along with their storage applications for both laboratory and industrial perspectives. Large growth in human populations has led to seminal growth in global energy consumption, hence fossil fuel usage has increased, as have unwanted greenhouse gases, including carbon dioxide, which results in critical environmental concerns. This book discusses this growing problem, aligning carbon nanomaterials as a solution because of their structural diversity and electronic, thermal and mechanical properties.

Provides an overview on state-of-the-art carbon nanomaterials and key requirements for applications of carbon materials towards efficient energy storage and conversion Presents an updated and comprehensive review of recent work and the theoretical aspects on electrochemistry Includes discussions on the industrial production of carbon-based materials for energy applications, along with insights from industrial experts

Materials for Additive Manufacturing covers the materials utilized in the additive manufacturing field, including polymers, metals, alloys and ceramic materials. A conceptual overview of the preparation and characterization of the materials and their processing is given, beginning with theoretical aspects that help readers better understand fundamental concepts. Emerging applications in medicine, aerospace, automotive, artwork and rapid manufacturing are also discussed. This book provides a comprehensive overview of materials, along with rapid prototyping technologies. Discusses the preparation and characterization of materials used for additive manufacturing Provides descriptions of microstructures and properties of the parts produced by additive manufacturing Includes recent industrial applications of materials processed in additive manufacturing

Support secondary Mandarin Chinese achievement with this skills-based, syllabus-agnostic resource, written by an international team of teachers and examiners. Ensure all four language skills are equally developed with the thematic approach that is suitable for the latest Cambridge IGCSE® syllabus (0547), IB DP Ab Initio and MYP Language Acquisition (Phases 1-3) frameworks.Ensure students are at the required language level with revision spreads at the start of each unit and continually track their progress with end-of-unit assessment. Grammar, vocabulary and writing support ensures confident Mandarin acquisition. Students are also encouraged to extend their learning with stretching activities and features on Chinese culture. This resource has been reviewed by a team of expert teachers and academics to ensure complete suitability for secondary Mandarin Chinese learning.An audio CD-ROM containing all the recordings of the listening activities is also included. A new Teacher Pack is also available enabling you to tailor your teaching with lesson resources, differentiation ideas and syllabus-specific support.

This collection assesses the legal developments which have taken place since the 1980s in China. It discusses China's achievements in building a new legal system and identifies the theoretical and institutional limitations of China's legal reform. Featuring an extensive case-study of foreign investment law, this book considers a wide-ranging set of interconnecting variables in China's changing social context, in order to examine and illustrate the gap between the text and actual practice of the law, especially as it relates to foreign direct investment. It will be of great interest to students and scholars of Chinese Law, Business and Economics, as well as to business investors in China.

Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples and implementation details to reinforce the concepts outlined in the book. Sections start with an introduction to the history of probability theory and an overview of recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of copula, Monte Carlo sampling, Markov chain Monte Carlo, polynomial regression, Gaussian process regression, polynomial chaos expansion, stochastic collocation, Bayesian inference, modelform uncertainty, multi-fidelity modeling, model validation, local and global sensitivity analyses, linear and nonlinear dimensionality reduction are included. Advanced UQ methods are also introduced, including stochastic processes, stochastic differential equations, random fields, fractional stochastic differential equations, hidden Markov model, linear Gaussian state space model, as well as non-probabilistic methods such as robust Bayesian analysis, Dempster-Shafer theory, imprecise probability, and interval probability. The book also includes example applications in multiscale modeling, reliability, fatigue, materials design, machine learning, and decision making.

Introduces all major topics of uncertainty quantification with engineering examples and implementation detailsFeatures examples from a wide variety of science and engineering disciplines (e.g., fluids, structural dynamics, materials, manufacturing, multiscale simulation)Discusses sampling methods, surrogate modeling, stochastic expansion, sensitivity analysis, dimensionality reduction and more

By the year 2000, annual sales of computer products to China may well reach $15-18 billion, making China one of the largest computer markets in the world. At the same time, China's own computer industry is expected to become world-class and internationally competitive. How this will come about, the market and economic trends that are presently developing, and the opportunities they present for Western businesses are explored here by two insiders, offering not only useful analysis but hands-on guidance to the ways in which China's computer market works. With an appendix listing more than 500 of the most important Chinese computer companies, industrial and professional organizations, and related consulting and law firms, the book will be essential reading for computer industry management and top sales executives, and for investment bankers and others with important stakes in the China market.China's computer market is not easy to enter. The key to doing so, according to the authors, is to understand not only China's unique historical, cultural, and environmental factors that condition the way business is done there, but the way Chinese businesspeople think and act. China is a low-income and transitional economy, much different from Japanese and other Asian economies, and incentives and price structures are distorted and the rules of the game are not clearly written. The legal infrastructure is incomplete, and laws are not rigorously enforced. Using the latest data available only from local Chinese sources, Zhang and Wang dissect the Chinese computer market in terms that Westerners can understand and relate to: its opportunities, but also its risks. Academics teaching and studying international business, marketing, and investment will also benefit from the authors' insights.

Filter Design for System Modeling, State Estimation and Fault Diagnosis analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects.This book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. The methods presented in this text are more practical than the common probabilistic-based algorithms, since these can be applied in unknown but bounded noisy environments. This book will be an essential read for students, scholars and engineering professionals who are interested in filter design, system modeling, state estimation, fault diagnosis and related fields.

Filter Design for System Modeling, State Estimation and Fault Diagnosis analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects.This book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. The methods presented in this text are more practical than the common probabilistic-based algorithms, since these can be applied in unknown but bounded noisy environments. This book will be an essential read for students, scholars and engineering professionals who are interested in filter design, system modeling, state estimation, fault diagnosis and related fields.

The 2024 IAIN World Congress, held from October 28th – 30th, at the Beijing International Convention Center, brought together over 350 participants and 31 delegates from all over the world to discuss cutting-edge advancements in navigation and maritime technology.Organized by the International Association of Institutes of Navigation (IAIN) and hosted by the China Institute of Navigation (CIN), the Congress delved into the latest technological trends, research, and industry developments in satellite navigation, autonomous shipping, maritime safety, and the integration of 5G, IoT, AI, and big data. This book provides an overview of key discussions, research findings, and milestones in the field, showcasing the collaborative efforts shaping the future of global maritime safety.This book is intended for professionals in navigation and maritime technology, academic researchers, maritime safety authorities, technology developers, industry enterprises, students, and enthusiasts interested in navigation systems, autonomous shipping, and maritime safety.The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.

Developing countries have for decades been trying to catch up with the industrialized high-income countries, but only a few have succeeded. Historically, structural transformation has been a powerful engine of growth and job creation. Traditional development aid is inadequate to address the bottlenecks for structural transformation, and is hence ineffective. In this book, Justin Yifu Lin and Yan Wang use the theoretical foundations of New Structural Economics to examine South-South development aid and cooperation from the angle of structural transformation. By studying the successful economic transformation of countries such as China and South Korea through 'multiple win' solutions based on comparative advantages and economy of scale, and by presenting new ideas and different perspectives from emerging market economies such as Brazil, India and other BRICS countries, they bring a new narrative to broaden the ongoing discussions of post-2015 development aid and cooperation as well as the definitions of aid and cooperation.

Developing countries have for decades been trying to catch up with the industrialized high-income countries, but only a few have succeeded. Historically, structural transformation has been a powerful engine of growth and job creation. Traditional development aid is inadequate to address the bottlenecks for structural transformation, and is hence ineffective. In this book, Justin Yifu Lin and Yan Wang use the theoretical foundations of New Structural Economics to examine South-South development aid and cooperation from the angle of structural transformation. By studying the successful economic transformation of countries such as China and South Korea through 'multiple win' solutions based on comparative advantages and economy of scale, and by presenting new ideas and different perspectives from emerging market economies such as Brazil, India and other BRICS countries, they bring a new narrative to broaden the ongoing discussions of post-2015 development aid and cooperation as well as the definitions of aid and cooperation.

Up-to-date discussions of the challenges and solutions in multi-agent vehicle-road interaction systemsIn State Estimation of Multi-Agent Vehicle-Road Interaction Systems, a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicles and local road segments within a connected vehicle (V2X) environment—referred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient.The book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail.The book also includes: A thorough introduction to ego-vehicle state estimation with sensor data lossComprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimationPractical discussions of tire-road friction coefficient estimation with parameter mismatch and data lossComplete treatments of preceding vehicle state estimationPerfect for engineers and professionals with an interest in vehicle state estimation, State Estimation of Multi-Agent Vehicle-Road Interaction Systems will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems.

Advanced filtering and AI algorithms for battery system analysis Advances in Battery Manufacturing and Operating Status Analysis details zonotopic and particle filtering methods for robust real-time estimation of critical battery parameters, alongside hybrid models combining filters with long short-term memory networks for remaining useful life prediction. Coverage of genetic algorithms and Q-learning addresses intelligent battery grouping and manufacturing capacity forecasting. Technical case studies walk through problem definitions, data preprocessing, model selection, implementation, and interpretation of results. Key topics also include: Zonotopic and particle filtering approaches for achieving robust, real-time estimation of critical battery state parameters in operational environmentsHybrid filter and long short-term memory network models designed to predict remaining useful life with improved accuracyGenetic algorithm and Q-learning strategies applied to intelligent battery grouping and manufacturing capacity forecastingTechnical case studies covering problem definitions, data preprocessing, model selection, implementation, and real-world result interpretationData-driven strategies for optimizing battery lifecycle stages from manufacturing through operation and sustainable energy storageResearchers and industry professionals in energy storage, power electronics, and electrical engineering R&D will find targeted algorithmic strategies for battery system management. Graduate students studying energy storage and related disciplines gain exposure to filtering and AI methods applied directly to manufacturing and operational analysis challenges.

This is the first book that probes the lived experiences of Chinese immigrant faculty in North American higher education institutions: their struggles, challenges, successes, etc. It explores how their past experiences in China have shaped who they are now, what they do and how they pursue their teaching, research, and service, as well as the reality of their everyday life that inevitably intertwines with their present and past diverse cultural backgrounds and unique experiences.Different from previous books that explore immigrant/minority faculty defined ambiguously and broadly and from the theoretical framework of ethnic relations, this book has a particular focus on mainland Chinese immigrant faculty, which offers a richer and deeper understanding of their cross-culture experiences through autoethnographic research and by multiple lenses. Through authors’ vivid portray of the ebbs and flows of their life in the academe, readers will gain an enjoyable and holistic knowledge of the cultural, political, linguistic, scholarly, and personal issues contemporary Chinese immigrant faculty encounter as they cross the border of multiple worlds.All contributors to this book had the experience of being the first-generation Chinese immigrants, and they either are currently teaching or used to teach in North American higher education institutions, who were born, brought up, educated in Mainland China and came to North America for graduate degrees from early 1980s to 2000.

This is the first book that probes the lived experiences of Chinese immigrant faculty in North American higher education institutions: their struggles, challenges, successes, etc. It explores how their past experiences in China have shaped who they are now, what they do and how they pursue their teaching, research, and service, as well as the reality of their everyday life that inevitably intertwines with their present and past diverse cultural backgrounds and unique experiences.Different from previous books that explore immigrant/minority faculty defined ambiguously and broadly and from the theoretical framework of ethnic relations, this book has a particular focus on mainland Chinese immigrant faculty, which offers a richer and deeper understanding of their cross-culture experiences through autoethnographic research and by multiple lenses. Through authors’ vivid portray of the ebbs and flows of their life in the academe, readers will gain an enjoyable and holistic knowledge of the cultural, political, linguistic, scholarly, and personal issues contemporary Chinese immigrant faculty encounter as they cross the border of multiple worlds.All contributors to this book had the experience of being the first-generation Chinese immigrants, and they either are currently teaching or used to teach in North American higher education institutions, who were born, brought up, educated in Mainland China and came to North America for graduate degrees from early 1980s to 2000.

Rapid economic growth is often a disruptive social process threatening the social relations and ideologies of incumbent regimes. Yet far from acting defensively, the Chinese Communist Party has lead a major social and economic transformation over forty years, without yet encountering fundamental challenges subverting its rule. A key question for political sociology is thus - how have the logics of China’s governmentality been able to help maintain compliance from the governed while acting so radically to advance the state’s growth priorities? This book explores the issue by analysing the detailed trajectories, rationale, and effects of China’s pension reforms. It uses strong methods, including institutional analysis of resource allocation in the multiple pension schemes and programmes, and quantitative text analysis of the knowledge construction in official discourse along with the reforms. Causal identification estimates the effects of key policy instruments on public opinion about pension responsibility and political trust. Moving beyond the pension issues, the analysis discusses with qualitative evidence why falsified compliance might exist in China’s society and the mechanisms that may lie behind it. Where active counter-conduct (such as resistance) is confined, individuals may choose cognitive rebellion and falsify their public compliance.The Chinese state’s strategy to generate public compliance is hybrid, organic, and dynamic. The state rules society by its customised governance design and constant adjustments. Public compliance is not only acquired through ‘buying off’ the public with governmental performance and transfer benefits, but is also manufactured through achieving cultural changes and new ideological foundations for general legitimation.

This book reflects how the concern regarding the effects of radiation exposure in patients and health personnel involved in cardiac electrophysiology (EP) has inspired new developments in cardiac electrophysiology procedures without the use of fluoroscopy. This innovative method has become a subspecialty within electrophysioloy with several EP laboratories around the world adopting an exclusive non-fluoroscopy approach. It features guidance on how to use three dimensional (3D) navigation systems, ablation energy sources and zero-fluorospic implantation of cardiac electronic devices. The potential complications and associated preventative methods with utilising RFCA are also described. Cardiac Electrophysiology Without Fluoroscopy offers a thorough description of the technique correlated to the performance of EP procedure without the use of radiation, and provides a valuable resource for those seeking a practically applicable guide on how to perform cardiac EP without fluoroscopy, including practising and trainee electrophysiologists, cardiac imagers, general cardiologists and emergency medicine physicians.

This book reflects how the concern regarding the effects of radiation exposure in patients and health personnel involved in cardiac electrophysiology (EP) has inspired new developments in cardiac electrophysiology procedures without the use of fluoroscopy.

This book offers a comprehensive examination of mobile technologies in healthcare. It starts by covering wireless solutions, including WiFi signals and mmWave technology for activity recognition, fitness assistance, and eating habit monitoring. The discussion extends to wearable technologies that focus on personal fitness and injury prevention, highlighting the innovative use of PPG sensors in wearables, which enable gesture recognition and user authentication.Based on thorough analyses on the challenges of designing robust mobile healthcare systems, this book addresses the difficulty of gathering accurate and reliable sensor data amidst the variability of human activities. It explores solutions using advanced sensing modalities, such as WiFi, mmWave, and PPG sensors, and robust algorithms for feature extraction to interpret activities, gestures, and biometrics. It also tackles system robustness across diverse environments and practical issues such as reducing training efforts, handling motion artifacts, and the implementation of these systems using commercially available devices.The primary audience for this book targets computer science students and researchers working in mobile computing, smart healthcare, human-computer interaction and artificial intelligence/machine learning.  Professionals and consultants focused on advancing mobile-based healthcare solutions will want to purchase this book as a reference.

This book offers a comprehensive examination of mobile technologies in healthcare. It starts by covering wireless solutions, including WiFi signals and mmWave technology for activity recognition, fitness assistance, and eating habit monitoring. The discussion extends to wearable technologies that focus on personal fitness and injury prevention, highlighting the innovative use of PPG sensors in wearables, which enable gesture recognition and user authentication.Based on thorough analyses on the challenges of designing robust mobile healthcare systems, this book addresses the difficulty of gathering accurate and reliable sensor data amidst the variability of human activities. It explores solutions using advanced sensing modalities, such as WiFi, mmWave, and PPG sensors, and robust algorithms for feature extraction to interpret activities, gestures, and biometrics. It also tackles system robustness across diverse environments and practical issues such as reducing training efforts, handling motion artifacts, and the implementation of these systems using commercially available devices.The primary audience for this book targets computer science students and researchers working in mobile computing, smart healthcare, human-computer interaction and artificial intelligence/machine learning.  Professionals and consultants focused on advancing mobile-based healthcare solutions will want to purchase this book as a reference.

This thesis covers a diverse set of topics related to space-based gravitational wave detectors such as the Laser Interferometer Space Antenna (LISA). The core of the thesis is devoted to the preprocessing of the interferometric link data for a LISA constellation, specifically developing optimal Kalman filters to reduce arm length noise due to clock noise. The approach is to apply Kalman filters of increasing complexity to make optimal estimates of relevant quantities such as constellation arm length, relative  clock drift, and Doppler frequencies based on the available measurement data. Depending on the complexity of the filter and the simulated data, these Kalman filter estimates can provide up to a few orders of magnitude improvement over simpler estimators. While the basic concept of the LISA  measurement (Time Delay Interferometry) was worked out some time ago, this work brings a level of rigor to the processing of the constellation-level data products.The thesis concludes with some topics related to the eLISA such as a new class of phenomenological waveforms for extreme mass-ratio inspiral sources (EMRIs, one of the main source for eLISA), an octahedral space-based GW detector that does not require drag-free test masses, and some efficient template-search algorithms for the case of relatively high SNR signals.

This book constitutes the revised selected papers of the scientific satellite events that were held in conjunction with the 14th International Conference on Service-Oriented Computing, ICSOC 2016, held in Banff, AB, Canada, in October 2016. The ICSOC 2016 workshop track consisted of three workshops on a wide range of topics that fall into the general area of service computing:ASOCA 2016: The rst Workshop on Adaptive Service-oriented and Cloud ApplicationsISyCC 2016: The rst Workshop on IoT Systems Provisioning & Management in Cloud ComputingBSCI 2016: The Second International Workshop on Big Data Services and Computational Intelligence

This thesis covers a diverse set of topics related to space-based gravitational wave detectors such as the Laser Interferometer Space Antenna (LISA). The core of the thesis is devoted to the preprocessing of the interferometric link data for a LISA constellation, specifically developing optimal Kalman filters to reduce arm length noise due to clock noise. The approach is to apply Kalman filters of increasing complexity to make optimal estimates of relevant quantities such as constellation arm length, relative  clock drift, and Doppler frequencies based on the available measurement data. Depending on the complexity of the filter and the simulated data, these Kalman filter estimates can provide up to a few orders of magnitude improvement over simpler estimators. While the basic concept of the LISA  measurement (Time Delay Interferometry) was worked out some time ago, this work brings a level of rigor to the processing of the constellation-level data products.The thesis concludes with some topics related to the eLISA such as a new class of phenomenological waveforms for extreme mass-ratio inspiral sources (EMRIs, one of the main source for eLISA), an octahedral space-based GW detector that does not require drag-free test masses, and some efficient template-search algorithms for the case of relatively high SNR signals.