Chen Yang – författare

China has enjoyed heroic growth rates in the last twenty five years of reform and transition, pulling more people out of poverty more quickly than at any other time in human history. Nonetheless these successes have had costs: today China is faced with increasing environmental difficulties and there is a dangerous level of inequality of income and wealth leading to large numbers of often violent disputes and demonstrations in the countryside. This book discusses the very latest issues relating to China's remarkable economic growth. It provides comprehensive coverage of these issues, including economic, political-economic, environmental and philosophical questions, presenting material in as non-technical a way as possible. The issues discussed reflect key concerns within China itself at present. These focus not just on how to sustain fast rates of economic growth but also on how to solve the problems resulting from it, problems including widening levels of income equality, new forms of environmental degradation to include water shortages, health issues, governance dilemmas and new problems for the banking, strategic industrial and agricultural sectors. This book not only encompasses the current socio-economic situation in China, accepting its strengths while highlighting dilemmas, but also provides suggestions for policy. As such, it reflects a growing recognition in China that the attainment of both continued strong economic growth and a greater degree of social harmony are mutually interdependent: that one will not be achieved without the other.

China has enjoyed heroic growth rates in the last twenty five years of reform and transition, pulling more people out of poverty more quickly than at any other time in human history. Nonetheless these successes have had costs: today China is faced with increasing environmental difficulties and there is a dangerous level of inequality of income and wealth leading to large numbers of often violent disputes and demonstrations in the countryside. This book discusses the very latest issues relating to China's remarkable economic growth. It provides comprehensive coverage of these issues, including economic, political-economic, environmental and philosophical questions, presenting material in as non-technical a way as possible. The issues discussed reflect key concerns within China itself at present. These focus not just on how to sustain fast rates of economic growth but also on how to solve the problems resulting from it, problems including widening levels of income equality, new forms of environmental degradation to include water shortages, health issues, governance dilemmas and new problems for the banking, strategic industrial and agricultural sectors. This book not only encompasses the current socio-economic situation in China, accepting its strengths while highlighting dilemmas, but also provides suggestions for policy. As such, it reflects a growing recognition in China that the attainment of both continued strong economic growth and a greater degree of social harmony are mutually interdependent: that one will not be achieved without the other.

Globally, states use rural-to-urban resettlement to fuel development, yet this formal process consistently generates its own informalities. Using a comparative case study of China-contrasting its affluent coast with its poorer hinterland-this book reveals how informality not only persists after resettlement but performs essential functions, critically challenging the effectiveness of prevailing policies. Theoretically, the study leverages the innovative Credibility Thesis, applying its Formal, Actual, and Targeted (FAT) Institutional Framework and Credibility Scales and Intervention (CSI) Checklist to explain the emergence and evolution of post-resettlement informality. The findings offer powerful, empirically grounded recommendations for integrating informal realities into urban planning, with profound implications for understanding institutional credibility and the functional role of informality in development.

Globally, states use rural-to-urban resettlement to fuel development, yet this formal process consistently generates its own informalities. Using a comparative case study of China-contrasting its affluent coast with its poorer hinterland-this book reveals how informality not only persists after resettlement but performs essential functions, critically challenging the effectiveness of prevailing policies. Theoretically, the study leverages the innovative Credibility Thesis, applying its Formal, Actual, and Targeted (FAT) Institutional Framework and Credibility Scales and Intervention (CSI) Checklist to explain the emergence and evolution of post-resettlement informality. The findings offer powerful, empirically grounded recommendations for integrating informal realities into urban planning, with profound implications for understanding institutional credibility and the functional role of informality in development.

China has enjoyed heroic growth rates in the last twenty five years of reform and transition, pulling more people out of poverty more quickly than at any other time in human history. Nonetheless these successes have had costs: today China is faced with increasing environmental difficulties and there is a dangerous level of inequality of income and

China has enjoyed heroic growth rates in the last twenty five years of reform and transition, pulling more people out of poverty more quickly than at any other time in human history. Nonetheless these successes have had costs: today China is faced with increasing environmental difficulties and there is a dangerous level of inequality of income and

Computer vision is an application-oriented field, where various applications correspond to distinct computer vision tasks. Consequently, this book is organized based on the taxonomy of these tasks: image processing, visual recognition, and scene reconstruction.Image processing, the foundational step, includes topics like convolution, edge detection, and image segmentation, often referred to as low-level vision tasks. This section covers classical algorithms. Visual recognition, or high-level vision, involves understanding image semantics and includes topics such as image classification, object detection, and action recognition. Deep learning algorithms are highlighted here. Scene reconstruction focuses on recovering 3D structures from images and includes topics like camera calibration and 3D reconstruction, explored through geometry-based algorithms.Each chapter is presented in Python Notebooks with theoretical explanations, algorithm details, and executable code, allowing readers to focus on text or implementation as needed. Designed for students, educators, researchers, and engineers, this book assumes familiarity with basic mathematics and Python programming.The translation was done using artificial intelligence. Subsequently, a human revision was done primarily in terms of content.

This book presents a unified set theory-based framework for spacecraft dynamics and control under multi-source uncertainties and data-sparse conditions. First, it develops reduced-order modeling techniques for high-dimensional spacecraft dynamics by introducing interval and convex set-based uncertainty descriptions, enabling efficient model reduction while rigorously quantifying unknown-but-bounded uncertainties without reliance on large-sample statistical assumptions. Second, the book addresses spacecraft attitude determination, attitude dynamics and control problems under uncertainty, establishing interval and convex set-based formulations for attitude dynamics and different control methods, including optimal control, sliding mode control, and periodic control, and systematically integrating non-probabilistic time-dependent reliability analysis into the dynamics and control design process to simultaneously account for performance and safety requirements. Finally, the proposed methodologies are extended to rigid–flexible coupling spacecraft, where attitude motion and structural vibration interact under uncertain conditions, and set theory-based spacecraft dynamics, optimal control and bounded model predictive control strategies are developed to achieve coordinated attitude–vibration suppression with guaranteed reliability and computational efficiency. Overall, the book provides a systematic methodology that links uncertainty dynamics, control synthesis, and reliability-based design optimization, offering both solid theoretical foundations and practical tools for the dynamics and control of advanced spacecraft operating in uncertain and data-limited environments.

This book presents a unified set theory-based framework for spacecraft dynamics and control under multi-source uncertainties and data-sparse conditions. First, it develops reduced-order modeling techniques for high-dimensional spacecraft dynamics by introducing interval and convex set-based uncertainty descriptions, enabling efficient model reduction while rigorously quantifying unknown-but-bounded uncertainties without reliance on large-sample statistical assumptions. Second, the book addresses spacecraft attitude determination, attitude dynamics and control problems under uncertainty, establishing interval and convex set-based formulations for attitude dynamics and different control methods, including optimal control, sliding mode control, and periodic control, and systematically integrating non-probabilistic time-dependent reliability analysis into the dynamics and control design process to simultaneously account for performance and safety requirements. Finally, the proposed methodologies are extended to rigid–flexible coupling spacecraft, where attitude motion and structural vibration interact under uncertain conditions, and set theory-based spacecraft dynamics, optimal control and bounded model predictive control strategies are developed to achieve coordinated attitude–vibration suppression with guaranteed reliability and computational efficiency. Overall, the book provides a systematic methodology that links uncertainty dynamics, control synthesis, and reliability-based design optimization, offering both solid theoretical foundations and practical tools for the dynamics and control of advanced spacecraft operating in uncertain and data-limited environments.