This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities. In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.
In recent years China has experienced intense economic development. Previously a rapidly urbanising industrial economy, the country has become a post-industrial economy with a service sector that accounts for almost half the nation’s GDP. This transformation has created many socio-political changes, but key among them is social mobilisation. This book provides a full and systematic analysis of social mobilisation in China, and how its use as part of state capacity has evolved.
This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.
This book reviews the latest advances in the development of silicon nano-biotechnology for biological and biomedical applications, which include biosensing, bioimaging, and cancer therapy. In this book, newly developed silicon nano-biotechnology and its biomedical applications are systematically introduced. For instance, fluorescent silicon nanoparticles, serving as novel high-performance biological nanoprobes, are superbly suited to real-time and long-term bioimaging. Silicon nanowire-based sensing platform is especially capable of sensitive, specific, and multiplexed detection of various biological species. Silicon-based nanocarriers with ultra-high drug-loading capacity are highly efficacious for in vitro and in vivo cancer therapies. This book is intended for readers who are interested in the design of functional silicon nanostructures and their biological and biomedical applications. It uses silicon nanoparticles and silicon nanowires as models and discusses topics ranging from their synthesis to their biological applications, the goal being to highlight these exciting achievements as starting points in the field of silicon nano-biotechnology. Yao He is a Professor at Institute of Functional Nano&Soft Materials (FUNSOM), Soochow University, China. Yuanyuan Su is an Associate Professor at Institute of Functional Nano&Soft Materials (FUNSOM), Soochow University, China.
Bringing a vast amount of material to a Western audience for the first time, this book provides a detailed systematic micro-level analysis of the historical development of the Chinese banking industry, analyzing the key issues in the development of the Bank of China in the period 1905 to 1949.
This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities. In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.
This book includes six chapters. The first chapter introduces the characteristics and the classification of POPs; the second chapter explains the harm of POPs from the perspective of environmental science; the third chapter introduces in detail the distribution characteristics of POPs in China; the fourth chapter analyses the need for legal governance to prevent and control pollution of POPs in China from the perspective of legislation; the fifth chapter comprehensively reviews the relevant laws, regulations and rules on prevention and control of POPs in China, from the macro level and micro level; and the sixth chapter analyses the problems during the process of legal governance and offers some suggestions from four links, including legislation, enforcement, judicature and law-abiding. The authors hope this research can play a role in the legal governance of POP pollution in China and also hope readers will understand the state of legal governance of POPs in China. The authors ask that they give some valued comments for the environmental protection of China.
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