Jun Zhang

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains.This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.

The book gives a panoramic introduction to design for sustainability to students, with input for undergraduate students, design students, and interested design practitioners. It is based on frontier research, give insights into best design practices to clarify the application of design strategies and offer a systematic review of sustainability. Through its novel approach to the topic, the book gives a systemic perspective instead of focusing on single environmental or social perspectives. Additionally, it builds a theory-practice parallel as means of introducing the topic. This aids readers in establishing an integrated understanding of design for sustainability. The book summarises sustainable design strategies with chapters on the track of product, service, social, and system. The design strategies are introduced with dimensions on history, theory, and empirical cases. The author maps the design for sustainability with a theoretical framework as well as the best design practices. Moreover, the book is based on long-term interdisciplinary collaboration. By working with environmental scientists, sociologists and citizens, the author expands traditional design capacities into dedicating the perspective to a more concrete knowledge of design for sustainability. Students are increasingly interested in design for sustainability. However, it is difficult to find guides on this topic. Books with related titles are research-oriented, theme-oriented, or focusing on specific topics like environmental, material, or social issues. This book aims at exploring the field of design for sustainability with in-depth insights on multiple levels. This book helps students gain an overview of the topic and include insights in their future studies. Overall, the book provides opportunities for instructors to share these perspectives. Additionally, it helps establish a structured course system with a multitude of advanced cases, several interrelated themes, as well as insights into the theoretical underpinning of design for sustainability. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods via algorithm unrolling and multiarmed bandit for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission. Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge. Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency.

Computational Intelligence in Protein-Ligand Interaction Analysis presents computational techniques for predicting protein-ligand interactions, recognizing protein interaction sites, and identifying protein drug targets. The book emphasizes novel approaches to protein-ligand interactions, including machine learning and deep learning, presenting a state-of-the-art suite of skills for researchers. The volume represents a resource for scientists, detailing the fundamentals of computational methods, showing how to use computational algorithms to study protein interaction data, and giving scientific explanations for biological data through computational intelligence. Fourteen chapters offer a comprehensive guide to protein interaction data and computational intelligence methods for protein-ligand interactions.

This book adopts the methods of field investigation and case study, systematically summarizes the development course of Nanjiang County in Sichuan Province since China’s reform and opening-up, and comprehensively sorts out its main experiences of promoting green development and rural governance. These experiences not only have great enlightening and demonstration significance to the 80 counties that belong to the Qinba mountain area, but also have important reference value to promote rural revitalization and realize effective governance in the vast mountainous areas and counties throughout the country. Therefore, this book is not only suitable for ordinary readers interested in China's reform and opening up, but also suitable for professional researchers interested in China's green development and rural governance.

This book focuses on the thermal reliability of power semiconductor device by looking at the failure mechanism, thermal parameters monitoring, junction temperature estimation, lifetime evaluation, and thermal management. Theoretical analysis and experimental tests are presented to explain existing reliability improvement techniques. This book is a valuable reference for the students and researchers who pay attention to the thermal reliability design of power semiconductor device.

This book adopts the methods of field investigation and case study, systematically summarizes the development course of Nanjiang County in Sichuan Province since China’s reform and opening-up, and comprehensively sorts out its main experiences of promoting green development and rural governance. These experiences not only have great enlightening and demonstration significance to the 80 counties that belong to the Qinba mountain area, but also have important reference value to promote rural revitalization and realize effective governance in the vast mountainous areas and counties throughout the country. Therefore, this book is not only suitable for ordinary readers interested in China's reform and opening up, but also suitable for professional researchers interested in China's green development and rural governance.

This book focuses on the thermal reliability of power semiconductor device by looking at the failure mechanism, thermal parameters monitoring, junction temperature estimation, lifetime evaluation, and thermal management. Theoretical analysis and experimental tests are presented to explain existing reliability improvement techniques. This book is a valuable reference for the students and researchers who pay attention to the thermal reliability design of power semiconductor device.

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains.This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.

This book systematically reviews the development of social policy since the establishment of the People’s Republic of China. As such, it begins by investigating the establishment of the Insurance System in the early period, then moves on to the planned economy period, the Cultural Revolution period, and the Reform and Opening Up period, characterized by efforts to adapt to a market economy. For each period, the book examines the effect of the economic system, the mode of production and forms of employment for social policy design, so as to clarify the developing context of Chinese social policy, and to help readers grasp the legal aspects of social policy development and the main problems China faces in its present economic developmental stage.

This book systematically reviews the development of social policy since the establishment of the People’s Republic of China. As such, it begins by investigating the establishment of the Insurance System in the early period, then moves on to the planned economy period, the Cultural Revolution period, and the Reform and Opening Up period, characterized by efforts to adapt to a market economy. For each period, the book examines the effect of the economic system, the mode of production and forms of employment for social policy design, so as to clarify the developing context of Chinese social policy, and to help readers grasp the legal aspects of social policy development and the main problems China faces in its present economic developmental stage.

Foreign aid has connected China and the international community through many channels, and created new types of strong partnerships throughout the world. As a recipient country, China and donors have engaged in an unprecedentedly deep level of cooperation on development-related issues. China’s development experience has resulted in key changes to the relationships and partnerships between China and donors, from receiving foreign aid to entering into development cooperation. China has provided valuable experiences for other developing countries, experiences that are all the more relevant because they have revealed key factors at work in developing recipient countries. This has also led China to form closer cooperative relationships with other developing countries with regard to development issues. In short, foreign aid has changed China.

This book aims to present the observation and Interpretation for China's economic growth since Reform and Opening-up from a Chinese economist's view. The book is divided into 5 sections, including the research of traditional socialist economic structure, China's transformation from planned economy to market economy, reform of Chinese industrial economy, economic growth and political economy. Key topics are covered over the past 40 years including strategies for economic transformation, dual-track pricing, industrial transformation and enterprise reform, capital formation and economic growth, structural changes and productivity growth, macroeconomics, fiscal relations between central and local governments, and the political economy of growth.

This book aims to present the observation and Interpretation for China’s economic growth since Reform and Opening-up from a Chinese economist’s view. The book is divided into 5 sections, including the research of traditional socialist economic structure, China’s transformation from planned economy to market economy, reform of Chinese industrial economy, economic growth and political economy. Key topics are covered over the past 40 years including strategies for economic transformation, dual-track pricing, industrial transformation and enterprise reform, capital formation and economic growth, structural changes and productivity growth, macroeconomics, fiscal relations between central and local governments, and the political economy of growth.

This book focuses on the development of high-performance carbon electrodes for sodium ion batteries (SIBs). By proposing folded-graphene as the high-density cathode with excellent rate capability, it provides insight into the interplay between oxygen functional groups and folded texture. It also highlights the superiority of ether electrolytes matching with carbon anodes, which are shown to deliver largely improved electrochemical performance. The achievements presented offer a valuable contribution to the carbon-based electrodes in SIBs.