Bøger af Ying Chen

This book explores the dynamics of the Chinese labor market, the largest in the world. The sheer scale of rural laborers living in cities is the ultimate engine driving the fastest urbanization the world has ever seen. Today, the country faces a series of new challenges as it tries to address problems of unemployment and under-employment. These include population ageing, automation, the increasing use of AI on the factory floor and other workplaces and Chinese manufacturers¿ move up the value chain. The book presents an empirically rich and analytically rigorous account of how these challenges might be met. It will be of interest to labor economists, scholars of Chinese manufacturing, and researchers of the Chinese economy.

This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC), covering task offloading, channel allocation, frequency scaling and resource scheduling. Since the task arrival process and channel conditions are stochastic and dynamic, the authors first propose an energy efficient dynamic computing offloading scheme to minimize energy consumption and guarantee end devices' delay performance. To further improve energy efficiency combined with tail energy, the authors present a computation offloading and frequency scaling scheme to jointly deal with the stochastic task allocation and CPU-cycle frequency scaling for minimal energy consumption while guaranteeing the system stability. They also investigate delay-aware and energy-efficient computation offloading in a dynamic MEC system with multiple edge servers, and introduce an end-to-end deep reinforcement learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. Finally, the authors study the multi-task computation offloading in multi-access MEC via non-orthogonal multiple access (NOMA) and accounting for the time-varying channel conditions. An online algorithm based on DRL is proposed to efficiently learn the near-optimal offloading solutions.Researchers working in  mobile edge computing, task offloading and resource management, as well as advanced level students in electrical and computer engineering, telecommunications, computer science or other related disciplines will find this book useful as a reference. Professionals working within these related fields will also benefit from this book. 

This book reflects the great changes in terms of real estate sales, purchases, finance and policies from planned economy to market economy in China. Real estate system has always been a great concern to the public for its irreplaceable role in people's lives and various daily affairs, as well as in the development of the whole economy, especially in China's context. The unique perspective of this book lies in the significant role that the Chinese government plays in real estate system. This book aims to help readers to understand China's real estate system comprehensively.

The book systematically introduces smart power system design and its infrastructure, platform and operating standards. It focuses on multi-objective optimization and illustrates where the intelligence of the system lies. With abundant project data, this book is a practical guideline for engineers and researchers in electrical engineering, as well as power network designers and managers in administration.

The author argues here that there is no absolute food shortage and that distorted agricultural trade which undermines world food distribution is a vital and overlooked factor.