China has forty major transboundary watercourses with neighbouring countries, and has frequently been accused of harming its downstream neighbours through its domestic water management policies, such as the construction of dams for hydropower. This book provides an understanding of water security in Asia by investigating how shared water resources affect China’s relationships with neighbouring countries in South, East, Southeast and Central Asia. Since China is an upstream state on most of its shared transboundary rivers, the country’s international water policy is at the core of Asia’s water security. These water disputes have had strong implications for China’s interstate relations, and also influenced its international water policy alongside domestic concerns over water resource management. This book investigates China’s policy responses to domestic water crises and examines China’s international water policy as well as its strategy in dealing with international cooperation. The authors describe the key elements of water diplomacy in Asia which demonstrate varying degrees of effectiveness of environmental agreements. It shows how China has established various institutional arrangements with neighbouring countries, primarily in the form of bilateral agreements over hydrological data exchange. Detailed case studies are included of the Mekong, Brahmaputra, Ili and Amur rivers.
Zeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps. Zeroing Neural Networks provides in-depth information on the finite-time convergence of ZNN models in solving computational problems. Divided into eight parts, this comprehensive resource covers modeling methods, theoretical analysis, computer simulations, nonlinear activation functions, and more. Each part focuses on a specific type of time-varying computational problem, such as the application of FTZNN to the Lyapunov equation, linear matrix equation, and matrix inversion. Throughout the book, tables explain the performance of different models, while numerous illustrative examples clarify the advantages of each FTZNN method. In addition, the book: Describes how to design, analyze, and apply FTZNN models for solving computational problems Presents multiple FTZNN models for solving time-varying computational problems Details the noise-tolerance of FTZNN models to maximize the adaptability of FTZNN models to complex environments Includes an introduction, problem description, design scheme, theoretical analysis, illustrative verification, application, and summary in every chapter Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications is an essential resource for scientists, researchers, academic lecturers, and postgraduates in the field, as well as a valuable reference for engineers and other practitioners working in neurocomputing and intelligent control.
First, the protagonist in the book, Lu Bu, was born in poverty, which doomed him to be out of touch with most intellectuals from the gentry. Because the discrimination against commoners by the gentry and the gate valve is very serious. For example, during the Northern and Southern Dynasties, the relatives of Emperor Wu of Song Wudi visited the cremation's house, and were met with cold reception and even insulted by the cremation, and Emperor Wu of could only submit to humiliation. This shows that the contradiction between the two sides is sharp.
The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues that are frequently encountered in the fields of radar, sonar, communications, and navigation. Research in the signal processing and control fields has always focused on improving the estimation performance of parameter estimation methods at low SNR and maintaining the robustness of estimations in the presence of model errors. This book presents a universal and robust relaxation estimation method (RELAX), and introduces its basic principles and applications in the fields of classical line spectrum estimation, time of delay estimation, DOA estimation, and radar target imaging. This information is explained comprehensively and in great detail, and uses metaphors pertaining to romantic relationships to visualize the basic problems of parameter estimation, the basic principles of the five types of classical parameter estimation methods, and the relationships between these principles. The book serves as a reference for scientists and technologists in the fields of signal processing and control, while also providing relevant information for graduate students in the related fields.
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.
This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era. Features: Addresses the critical challenges in the field of PHM at present Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis Provides abundant experimental validations and engineering cases of the presented methodologies
The morning is always quiet and beautiful, and the morning in winter is even more quiet. The beautiful mountain village is surrounded by mountains and presents a paradise-like no y- nothing. At this time when people haven't got up early to do their work, there is a family whose lights are flickering, and this small light has become the most dazzling existence in the village.
There was silence in the central square of Mozi Village. On weekdays, the cicadas kept chirping, and they were probably blinded by the hot sun. All of them faded without making a sound.
First, the protagonist in the book, Lu Bu, was born in poverty, which doomed him to be out of touch with most intellectuals from the gentry. Because the discrimination against commoners by the gentry and the gate valve is very serious. For example, during the Northern and Southern Dynasties, the relatives of Emperor Wu of Song Wudi visited the cremation's house, and were met with cold reception and even insulted by the cremation, and Emperor Wu of could only submit to humiliation. This shows that the contradiction between the two sides is sharp.
Now, she has been working as a baili cream for three months-the third daughter of Bailihui, the prime minister of the dynasty, turned 16 this year and just arrived. Was married to the second prince
Smart Energy for Transportation and Health in a Smart City A comprehensive review of the advances of smart cities’ smart energy, transportation, infrastructure, and health Smart Energy for Transportation and Health in a Smart City offers an essential guide to the functions, characteristics, and domains of smart cities and the energy technology necessary to sustain them. The authors—noted experts on the topic—include theoretical underpinnings, practical information, and potential benefits for the development of smart cities. The book includes information on various financial models of energy storage, the management of networked micro-grids, coordination of virtual energy storage systems, reliability modeling and assessment of cyber space, and the development of a vehicle-to-grid voltage support. The authors review smart transportation elements such as advanced metering infrastructure for electric vehicle charging, power system dispatching with plug-in hybrid electric vehicles, and best practices for low power wide area network technologies. In addition, the book explores smart health that is based on the Internet of Things and smart devices that can help improve patient care processes and decrease costs while maintaining quality. This important resource: Examines challenges and opportunities that arise with the development of smart cities Presents state-of-the-art financial models of smart energy storage Clearly explores elements of a smart city based on the advancement of information and communication technology Contains a review of advances in smart health for smart cities Includes a variety of real-life case studies that illustrate various components of a smart city Written for practicing engineers and engineering students, Smart Energy for Transportation and Health in Smart Cities offers a practical guide to the various aspects that create a sustainable smart city.
This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours. Appealing to readers from the fields of artificial intelligence, computer science, electrical engineering, electronics, and instrumentation science, it addresses three main areas: First, readers will learn how to apply machine learning, pattern recognition and signal processing algorithms to real perception tasks. Second, they will be shown how to make their algorithms match their systems once the algorithms don’t work because of the limitation of hardware resources. Third, readers will learn how to make schemes and solutions when the acquired data from their systems is not stable due to the fundamental issues affecting perceptron devices (e.g. sensors). In brief, the book presents and discusses the key technologies and new algorithmic challenges in electronic noses and artificial olfaction. The goal is to promote the industrial application of electronic nose technology in environmental detection, medical diagnosis, food quality control, explosive detection, etc. and to highlight the scientific advances in artificial olfaction and artificial intelligence. The book offers a good reference guide for newcomers to the topic of electronic noses, because it refers to the basic principles and algorithms. At the same time, it clearly presents the key challenges – such as long-term drift, signal uniqueness, and disturbance – and effective and efficient solutions, making it equally valuable for researchers engaged in the science and engineering of sensors, instruments, chemometrics, etc.
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