Lei Wu – författare

This book highlights a comprehensive description of the numerical methods in rarefied gas dynamics, which has strong applications ranging from space vehicle re-entry, micro-electromechanical systems, to shale gas extraction. The book consists of five major parts: The fast spectral method to solve the Boltzmann collision operator for dilute monatomic gas and the Enskog collision operator for dense granular gas; The general synthetic iterative scheme to solve the kinetic equations with the properties of fast convergence and asymptotic preserving; The kinetic modeling of monatomic and molecular gases, and the extraction of critical gas parameters from the experiment of Rayleigh-Brillouin scattering; The assessment of the fluid-dynamics equations derived from the Boltzmann equation and typical kinetic gas-surface boundary conditions;The applications of the fast spectral method and general synthetic iterative scheme to reveal the dynamics in some canonical rarefied gas flows. The book is suitable for postgraduates and researchers interested in rarefied gas dynamics and provides many numerical codes for them to begin with.

This book highlights a comprehensive description of the numerical methods in rarefied gas dynamics, which has strong applications ranging from space vehicle re-entry, micro-electromechanical systems, to shale gas extraction. 

The book consists of five major parts: 

The fast spectral method to solve the Boltzmann collision operator for dilute monatomic gas and the Enskog collision operator for dense granular gas; The general synthetic iterative scheme to solve the kinetic equations with the properties of fast convergence and asymptotic preserving; The kinetic modeling of monatomic and molecular gases, and the extraction of critical gas parameters from the experiment of Rayleigh-Brillouin scattering; The assessment of the fluid-dynamics equations derived from the Boltzmann equation and typical kinetic gas-surface boundary conditions;The applications of the fast spectral method and general synthetic iterative scheme to reveal the dynamics in some canonical rarefied gas flows. 

The book is suitable for postgraduates and researchers interested in rarefied gas dynamics and provides many numerical codes for them to begin with.

This book highlights a comprehensive description of the numerical methods in rarefied gas dynamics, which has strong applications ranging from space vehicle re-entry, micro-electromechanical systems, to shale gas extraction. The book consists of five major parts: The fast spectral method to solve the Boltzmann collision operator for dilute monatomic gas and the Enskog collision operator for dense granular gas; The general synthetic iterative scheme to solve the kinetic equations with the properties of fast convergence and asymptotic preserving; The kinetic modeling of monatomic and molecular gases, and the extraction of critical gas parameters from the experiment of Rayleigh-Brillouin scattering; The assessment of the fluid-dynamics equations derived from the Boltzmann equation and typical kinetic gas-surface boundary conditions;The applications of the fast spectral method and general synthetic iterative scheme to reveal the dynamics in some canonical rarefied gas flows. The book is suitable for postgraduates and researchers interested in rarefied gas dynamics and provides many numerical codes for them to begin with.

Evidence-based Clinical Chinese Medicine: Adult Asthma provides a "whole evidence" analysis of the Chinese medicine management of adult asthma. Evidence from the classical Chinese medicine literature, contemporary clinical literature, the outcomes of clinical trials and experimental studies are reviewed, analysed and synthesised. The data from all these sources are condensed to provide evidence-based statements which will inform clinical practice and guide future research.This book has been designed to be an easy reference at the point of care. During a patient consultation, Chinese medicine practitioners can refer to this book for guidance on which Chinese herbal medicine formulas, specific herbs, or acupuncture points, can best treat their patient, and be confident there is evidence which supports its use.Currently, Chinese medicine practitioners who develop a special interest in a particular health condition such as adult asthma have to consult a variety of sources to further their knowledge. Typically, they use the contemporary clinical literature to understand the theory, aetiology, pathogenesis and obtain expert opinions on the Chinese medicine management of adult asthma. They search the electronic literature to identify systematic reviews of clinical trials, if any exist, to obtain assessments of the current state of the clinical evidence for particular interventions. If they have the skills and resources, they may search the classical Chinese medicine literature for an historical perspective on treatments that have stood the test of time.This book provides all of this information for practitioners in one handy, easy to use reference. This allows practitioners to focus on their job of providing high quality health care, with the knowledge it is based on the best available evidence.

Evidence-based Clinical Chinese Medicine: Adult Asthma provides a "whole evidence" analysis of the Chinese medicine management of adult asthma. Evidence from the classical Chinese medicine literature, contemporary clinical literature, the outcomes of clinical trials and experimental studies are reviewed, analysed and synthesised. The data from all these sources are condensed to provide evidence-based statements which will inform clinical practice and guide future research.This book has been designed to be an easy reference at the point of care. During a patient consultation, Chinese medicine practitioners can refer to this book for guidance on which Chinese herbal medicine formulas, specific herbs, or acupuncture points, can best treat their patient, and be confident there is evidence which supports its use.Currently, Chinese medicine practitioners who develop a special interest in a particular health condition such as adult asthma have to consult a variety of sources to further their knowledge. Typically, they use the contemporary clinical literature to understand the theory, aetiology, pathogenesis and obtain expert opinions on the Chinese medicine management of adult asthma. They search the electronic literature to identify systematic reviews of clinical trials, if any exist, to obtain assessments of the current state of the clinical evidence for particular interventions. If they have the skills and resources, they may search the classical Chinese medicine literature for an historical perspective on treatments that have stood the test of time.This book provides all of this information for practitioners in one handy, easy to use reference. This allows practitioners to focus on their job of providing high quality health care, with the knowledge it is based on the best available evidence.

This book focuses on intelligent elderly remote caregiving systems and remote health monitoring systems. It facilitates remote health monitoring, particularly for elderly individuals living alone or those with chronic illnesses, and addresses the long-term care needs of elderly individuals and patients with chronic diseases in remote or out-of-town locations.

This book focuses on intelligent elderly remote caregiving systems and remote health monitoring systems. It facilitates remote health monitoring, particularly for elderly individuals living alone or those with chronic illnesses, and addresses the long-term care needs of elderly individuals and patients with chronic diseases in remote or out-of-town locations.

With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch.(2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast.(3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch.              The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.

With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. 

Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts.

 

(1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch.

(2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast.

(3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch.             

The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.

With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch.(2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast.(3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch.              The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.