Yan Wang

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.

The rapid growth over the past three decades has been instrumental in lifting over 600 million people in China out of poverty, and people want to know why and how it happened. International evidence has made it clear that a global economy based on current patterns of consumption and production is simply not sustainable. Policymakers have repeatedly been advised that economic growth, poverty reduction, equity, and environment and resource sustainability must be integrated into national development strategies. What about China? The principle limitation of existing China-focused economic studies lies in its imbalances from the perspective of analysis and the impact of growth on poverty and inequality. A limited number of studies are devoted to structural transformation and China’s structural imbalances, social disparities and the impact of science and technology on growth and productivity. This book addresses the alarming environmental consequences of China’s growth patterns within an overall quality growth framework. It contributes to the economic growth and development literature and current policy discourse on China by expanding the policy analysis to include several important new areas using the most recent data available. This includes analyzing the macroeconomic factors that underlie the need for China to advance its economic transformation; examining how social inequalities, including health, education and gender, have evolved and presenting the scale of environmental problems associated with China’s growth miracle. This report represents the first attempt to integrate the issue of environmental sustainability and climate change into the quality growth context, providing readers with a comprehensive account of China’s success and challenges inits three decades of rapid economic growth.

The rapid growth over the past three decades has been instrumental in lifting over 600 million people in China out of poverty, and people want to know why and how it happened. International evidence has made it clear that a global economy based on current patterns of consumption and production is simply not sustainable. Policymakers have repeatedly been advised that economic growth, poverty reduction, equity, and environment and resource sustainability must be integrated into national development strategies. What about China? The principle limitation of existing China-focused economic studies lies in its imbalances from the perspective of analysis and the impact of growth on poverty and inequality. A limited number of studies are devoted to structural transformation and China’s structural imbalances, social disparities and the impact of science and technology on growth and productivity. This book addresses the alarming environmental consequences of China’s growth patterns within an overall quality growth framework. It contributes to the economic growth and development literature and current policy discourse on China by expanding the policy analysis to include several important new areas using the most recent data available. This includes analyzing the macroeconomic factors that underlie the need for China to advance its economic transformation; examining how social inequalities, including health, education and gender, have evolved and presenting the scale of environmental problems associated with China’s growth miracle. This report represents the first attempt to integrate the issue of environmental sustainability and climate change into the quality growth context, providing readers with a comprehensive account of China’s success and challenges inits three decades of rapid economic growth.

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.

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 book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.

The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.

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.

Up-to-date discussions of the challenges and solutions in state estimation of vehicle neighborhood systems In Recent Progress in State Estimation for the Vehicle Neighborhood System, 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 estimation Perfect for engineers and professionals with an interest in vehicle state estimation, Recent Progress in State Estimation for the Vehicle Neighborhood System will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems.

This book provides an overall understanding of Chinese labour law and covers many important issues related to the application of Chinese labour law. Particularly, the book explains the difficult points in Chinese labour law from the perspective of juridical practice. Many typical cases are selected to illustrate the important issues in Chinese labour law. These cases are from the courts in the developed areas in China, where foreign-funded enterprises gather. Also, the book addresses the implications of the Civil Code on the labour law. The latest developments are reflected in the book, which include guidelines related to labour dispute case hearing formulated by the Higher Courts in many provinces, and the guiding cases released by the Supreme Court. Such developments are the reflections of fragmented judicial application of Chinese labour law.

Harbor is a major CNCF open source project, with thousands of production users all over the world. This book provides a comprehensive explanation of the open source cloud native registry: Harbor. Written by experts who contributed to and now maintain Harbor, the content covers its architecture, principles, functions, deployment and configuration, scanning artifacts, remote replication, operation and maintenance, customized development, API usage and success stories. The book offers a valuable guide for Harbor users, developers and contributors, cloud native software development engineers, test engineers, operational and maintenance engineers, IT architects and IT technical managers. It will also benefit university students in computer-related disciplines.

This book is dedicated to strategic management research relating to China’s SOE. As China’s economic system of the day is featured by mixed ownership, state-owned enterprises (SOEs), under the New Normal of economic backdrop, are devoted to exploring the reform of stock resources reorganization, one of which is through mergers and acquisitions (M&A). This book explores the key points and difficulties in the successful reform of Chinese enterprises with mixed ownership by focusing on trust and innovation and by widely covering normative research, index evaluation system, game theory and empirical research with case study. It is significant for evaluating the reform of SOE in China by integrating the informal institutional aspects into the formal one and understanding the leading role of SOE in China’s economic development.

This book is mainly focused on the global impulsive synchronization of complex dynamical networks with different types of couplings, such as general state coupling, nonlinear state coupling, time-varying delay coupling, derivative state coupling, proportional delay coupling and distributed delay coupling. Studies on impulsive synchronization of complex dynamical networks have attracted engineers and scientists from various disciplines, such as electrical engineering, mechanical engineering, mathematics, network science, system engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of network synchronization and the significant influence of impulsive control in the design and optimization of complex networks. The primary audience for the book would be the scholars and graduate students whose research topics including the network science, control theory, applied mathematics, system science and so on.