Wei Xu – författare

"A systematic review of the structure and context of the blockchain-derived economic model... (the book) describes cryptoeconomics in connection with the game theory, behavioral economics and others in simple understandable language."—Wang Feng, founder of Linekong Interactive Group and Mars Finance, partner in Geekbang Venture CapitalBlockchain technology has subverted existing perceptions and is the start of an economic revolution, called, cryptoeconomics. Blockchain is a key component of cryptoeconomics. Vlad Zamfir, a developer of Ethereum, defines this term as "a formal discipline that studies protocols that governs the production, distribution, and consumption of goods and services in a decentralized digital economy. Cryptoeconomics is a practical science that focuses on the design and characterization of these protocols".This book explains the structures of blockchain-derived economic models, their history, and their application. It uses real-world cases to illustrate the relationship between cryptoeconomics and blockchain.Blockchain technology solves trust issues. A blockchain application can restrict behavior on the blockchain through a reward and punishment system that enables consensus in an innovative way. The greatest significance of cryptoeconomics lies in guaranteeing safety, stability, activity, and order in a decentralized consensus system. Security and stability are achieved mainly by cryptographical mechanisms. Activity and order are achieved through economic mechanisms.Cryptoeconomics and Blockchain: Ignighting a New Era of Blockchain discusses the most popular consensus algorithms and optimization mechanisms. With examples explained in clear and simple terms that are easy to understand, the book also explores economic mechanisms of blockchain such as game theory and behavioral economics.

Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to viewers. A TV video program consists of both audio and image streams that unfold the underlying story.  To recognize the visual content of a digital image, or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly.Machine Learning for Multimedia Content Analysis introduces machine learning techniques that are particularly powerful and effective for modeling spatial, temporal structures of multimedia data and for accomplishing common tasks of multimedia content analysis. This book systematically covers these techniques in an intuitive fashion and demonstrates their applications through case studies. This volume uses a large number of figures to illustrate and visualize complex concepts, and provides insights into the characteristics of many algorithms through examinations of their loss functions and straightforward comparisons.Machine Learning for Multimedia Content Analysis is designed for an academic and professional audience. Researchers will find this book an invaluable tool for applying machine learning techniques to multimedia content analysis. This volume is also suitable for practitioners in industry.

Permanent magnet synchronous motors (PMSMs) are popular in the electric vehicle industry due to their high-power density, large torque-to-inertia ratio, and high reliability. This book presents an improved field-oriented control (FOC) strategy for PMSMs that utilizes optimal proportional-integral (PI) parameters to achieve robust stability, faster dynamic response, and higher efficiency in the flux-weakening region. The book covers the combined design of a PI current regulator and varying switching frequency pulse-width modulation (PWM), along with an improved linear model predictive control (MPC) strategy. Researchers and graduate students in electrical engineering, systems and control, and electric vehicles will find this book useful.Features:• Implements evolutionary optimization algorithms to improve PMSM performance.• Provides coverage of PMSM control design in the flux-weakening region.• Proposes a modern method of model predictive control to improve the dynamic performance of interior PMSM.• Studies the dynamic performance of two kinds of PMSMs: surface-mounted and interior permanent magnet types.• Includes several case studies and illustrative examples with MATLAB®.This book is aimed at researchers, graduate students, and libraries in electrical engineering with specialization in systems and control and electric vehicles.

Permanent magnet synchronous motors (PMSMs) are popular in the electric vehicle industry due to their high-power density, large torque-to-inertia ratio, and high reliability. This book presents an improved field-oriented control (FOC) strategy for PMSMs that utilizes optimal proportional-integral (PI) parameters to achieve robust stability, faster dynamic response, and higher efficiency in the flux-weakening region. The book covers the combined design of a PI current regulator and varying switching frequency pulse-width modulation (PWM), along with an improved linear model predictive control (MPC) strategy. Researchers and graduate students in electrical engineering, systems and control, and electric vehicles will find this book useful.Features:• Implements evolutionary optimization algorithms to improve PMSM performance.• Provides coverage of PMSM control design in the flux-weakening region.• Proposes a modern method of model predictive control to improve the dynamic performance of interior PMSM.• Studies the dynamic performance of two kinds of PMSMs: surface-mounted and interior permanent magnet types.• Includes several case studies and illustrative examples with MATLAB®.This book is aimed at researchers, graduate students, and libraries in electrical engineering with specialization in systems and control and electric vehicles.

"A systematic review of the structure and context of the blockchain-derived economic model... (the book) describes cryptoeconomics in connection with the game theory, behavioral economics and others in simple understandable language."—Wang Feng, founder of Linekong Interactive Group and Mars Finance, partner in Geekbang Venture CapitalBlockchain technology has subverted existing perceptions and is the start of an economic revolution, called, cryptoeconomics. Blockchain is a key component of cryptoeconomics. Vlad Zamfir, a developer of Ethereum, defines this term as "a formal discipline that studies protocols that governs the production, distribution, and consumption of goods and services in a decentralized digital economy. Cryptoeconomics is a practical science that focuses on the design and characterization of these protocols".This book explains the structures of blockchain-derived economic models, their history, and their application. It uses real-world cases to illustrate the relationship between cryptoeconomics and blockchain.Blockchain technology solves trust issues. A blockchain application can restrict behavior on the blockchain through a reward and punishment system that enables consensus in an innovative way. The greatest significance of cryptoeconomics lies in guaranteeing safety, stability, activity, and order in a decentralized consensus system. Security and stability are achieved mainly by cryptographical mechanisms. Activity and order are achieved through economic mechanisms.Cryptoeconomics and Blockchain: Ignighting a New Era of Blockchain discusses the most popular consensus algorithms and optimization mechanisms. With examples explained in clear and simple terms that are easy to understand, the book also explores economic mechanisms of blockchain such as game theory and behavioral economics.

This book presents advances in control technologies for efficient operation of permeant magnet synchronous machines (PMSMs) and linear induction machines (LIMs) based on sliding mode control (SMC). It covers the design of the speed controller based on SMC and the composited speed controller based on different disturbance observers for the PMSM under the field-oriented control (FOC) method including the numerical analysis of second-order systems. Several case studies with simulation in MATLAB® and real-time experimental analysis have been offered to verify the effectiveness of the proposed methods. Key features:Summarizes several theoretical control algorithms for permanent magnet synchronous motors and linear induction motorsProvides simulation and experimental results to show the effectiveness of the theoretical algorithmsConsiders control scenarios from the typical problems in industrial applications pertaining to permanent magnet synchronous motors and linear induction motorsProposes FOC, direct thrust control (DTC), and model predictive control (MPC) methodsIncludes numerical analysis of the second-order systems to understand the process of the SMC design and its parameters.This book is aimed at researchers, professionals, and graduate students in control and electrical engineering.

Optimizing Supply Chain Performance takes industrial case studies from SMEs in China to examine the importance of information sharing and coordinated management as essential mechanisms to improve supply chain performance.

Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to viewers. A TV video program consists of both audio and image streams that unfold the underlying story.  To recognize the visual content of a digital image, or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly.Machine Learning for Multimedia Content Analysis introduces machine learning techniques that are particularly powerful and effective for modeling spatial, temporal structures of multimedia data and for accomplishing common tasks of multimedia content analysis. This book systematically covers these techniques in an intuitive fashion and demonstrates their applications through case studies. This volume uses a large number of figures to illustrate and visualize complex concepts, and provides insights into the characteristics of many algorithms through examinations of their loss functions and straightforward comparisons.Machine Learning for Multimedia Content Analysis is designed for an academic and professional audience. Researchers will find this book an invaluable tool for applying machine learning techniques to multimedia content analysis. This volume is also suitable for practitioners in industry.

The calculation of partial derivatives is a fundamental need in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives (usually first and, possibly, second derivatives) regardless of a code’s complexity. However, the space and time efficiency of AD can be dramatically improved - sometimes transforming a problem from intractable to highly feasible - if inherent problem structure is used to apply AD in a judicious manner.This book discusses the efficient use of AD to solve real problems, especially multidimensional zero-finding and optimization, in the MATLAB environment. This book is concerned with the determination of the first and second derivatives in the context of solving scientific computing problems with an emphasis on optimization and solutions to nonlinear systems. The authors focus on the application rather than the implementation of AD, solve real nonlinear problems with high performance by exploiting the problem structure in the application of AD, and provide many easy to understand applications, examples, and MATLAB templates.

This book constitutes the refereed proceedings of 5 workshops of the 15th International Conference on Web-Age Information Management, WAIM 2014, held in Macau, China, June 16-18, 2014.The 38 revised full papers are organized in topical sections on the 5 following workshops: Second International Workshop on Emergency Management in Big Data Age, BigEM 2014; Second International Workshop on Big Data Management on Emerging Hardware, HardBD 2014; International Workshop on Data Management for Next-Generation Location-based Services, DaNoS 2014; International Workshop on Human Aspects of Making Recommendations in Social Ubiquitous Networking Environment, HRSUME 2014; International Workshop on Big Data Systems and Services, BIDASYS 2014.

This book focuses on the latest research and developments in photovoltaic (PV) power plants, and provides extensive coverage of fundamental theories, current research and developmental activities, and new approaches intended to overcome a number of critical limitations in today’s grid integration technologies. The design and implementation process for large-scale solar PV power plants is introduced. The content provided will actively support the development of future renewable power plants and smart grid applications.The book will be of interest to researchers, professionals and graduate students in electrical and electronics fields seeking to understand the related technologies involved in PV power plants.

This book focuses on the latest research and developments in photovoltaic (PV) power plants, and provides extensive coverage of fundamental theories, current research and developmental activities, and new approaches intended to overcome a number of critical limitations in today’s grid integration technologies.

This book collects the latest theoretical and technological concepts in the design and control of various linear machines and drive systems. Discussing advances in the new linear machine topologies, integrated modeling, multi-objective optimization techniques, and high-performance control strategies, it focuses on emerging applications of linear machines in transportation and energy systems. The book presents both theoretical and practical/experimental results, providing a consistent compilation of fundamental theories, a compendium of current research and development activities as well as new directions to overcome critical limitations.

This book collects the latest theoretical and technological concepts in the design and control of various linear machines and drive systems.

To meet the increasing demand of electrical power, the use of renewable energy-based smart grid is attracting significant attention in recent years throughout the world.

To meet the increasing demand of electrical power, the use of renewable energy-based smart grid is attracting significant attention in recent years throughout the world.

This book presents advances in control technologies for efficient operation of the brushless doubly-fed induction generator (BDFIG). For robust and low-cost operation of BDFIGs, it is required to keep high-quality output voltage and eliminate the speed/position encoder under different loads and operation conditions.

This book presents advances in control technologies for efficient operation of the brushless doubly-fed induction generator (BDFIG). For robust and low-cost operation of BDFIGs, it is required to keep high-quality output voltage and eliminate the speed/position encoder under different loads and operation conditions.

In the rapidly evolving era of artificial intelligence (AI), the ways humans interact with AI systems have undergone fundamental transformation, giving rise to a new interdisciplinary field—Human-AI Interaction. This represents a paradigm shift beyond the traditional field of Human-Computer Interaction, demanding innovative approaches to address the unique challenges introduced by AI. This book, Human-Centered AI: Advancing Research and Applications in Human-AI Interaction, explores the latest theories, methods, and practices of Human-AI Interaction through the distinctive lens of Human-Centered AI (HCAI). As both a design philosophy and a methodological framework, HCAI places humans at the core of AI development by emphasizing human needs, values, ethics, controllability, capabilities, and experiences. Its goal is to ensure that AI systems empower and augment humans rather than replace or harm them. Positioning Human-AI Interaction within the broader HCAI paradigm, this book advances research and applications in human-AI interaction aimed at realizing HCAI’s goals.Across 27 chapters covering foundational concepts, technologies, research methods, design methods and standards, modeling, and real-world practice in Human-AI Interaction, this book demonstrates how AI can be seamlessly integrated with human needs to create intelligent, ethical, controllable, and user-friendly systems. Through detailed analysis and empirical studies, we aim to equip readers with theoretical frameworks and practical methodologies to create more human-centered AI solutions in an increasingly complex AI landscape. Whether you are a scholar, designer, or industry practitioner, this book will inspire you and enrich your knowledge, empowering you to advance the development of AI while better serving humanity.

The book takes time as the axis, selecting 98 bridges (or bridge groups) across the country and 7 representative bridges out of the country, reflecting the steps and development of China's bridge construction in related majors and engineering technicians in colleges and universities.

The book takes time as the axis, selecting 98 bridges (or bridge groups) across the country and 7 representative bridges out of the country, reflecting the steps and development of China's bridge construction in related majors and engineering technicians in colleges and universities.