The King of Mercenaries, Zhang Xiaobin, returned to the city and became a waiter in a small bar. Not only did he take away the top quality beauty, the boss, but he also managed to fool the beautiful female police. Even the beautiful maid Zhang Xiaobin, the peerless female assassin, and the beautiful widow fell in love with him.
In recent years, in situ analysis of cellular functional molecules has attracted considerable interest as it can provide spatially or temporally resolved information of these essential molecules on/within living cells in a non-invasive way. In Situ Analysis of Cellular Functional Molecules introduces the tailor-made design of detection probes as well as schemes from a top-down perspective according to the unique characteristics of cellular functional molecules. The latest methodological developments, including enhancement of detection sensitivity and specificity, precision localization, implementation of dynamic tracking, and acquirement of quantitative functional information for various important functional molecules is discussed in detail. Written by leaders in the field, this book will provide a comprehensive overview to scientists in academia and professionals in industry working on different aspects of cellular analysis and cell biology.
In this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels are investigated within a unified theoretical framework. The aim is to derive the sufficient conditions such that the resulting systems achieve the prescribed design requirements despite all the network-induced phenomena. Further, novel notions such as randomly occurring sensor failures and consensus in probability are discussed. Finally, the theories/techniques developed are applied to emerging research areas. Key Features Unifies existing and emerging concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexities Includes concepts like randomly occurring sensor failures and consensus in probability (with respect to time-varying stochastic multi-agent systems) Exploits the recursive linear matrix inequality approach, completing the square method, Hamilton-Jacobi inequality approach, and parameter-dependent matrix inequality approach to handle the emerging mathematical/computational challenges Captures recent advances of theories, techniques, and applications of stochastic control as well as filtering from an engineering-oriented perspective Gives simulation examples in each chapter to reflect the engineering practice
This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, it explains the effects from the active sampling fashion, i.e., event-based sampling is examined on the control/estimation performance, and novel design technologies are proposed for controllers/estimators. Simulation results are provided for better understanding of the proposed control/filtering methods. By drawing on a variety of theories and methodologies such as Lyapunov function, linear matrix inequalities, and Kalman theory, sufficient conditions are derived for guaranteeing the existence of the desired controllers and estimators, which are parameterized according to certain matrix inequalities or recursive matrix equations. Covers recent advances of control and state estimation for dynamical network systems with complex samplings from the engineering perspective Systematically introduces the complex sampling concept, methods, and application for the control and state estimation Presents unified framework for control and state estimation problems of dynamical network systems with complex samplings Exploits a set of the latest techniques such as linear matrix inequality approach, Vandermonde matrix approach, and trace derivation approach Explains event-triggered multi-rate fusion estimator, resilient distributed sampled-data estimator with predetermined specifications This book is aimed at researchers, professionals, and graduate students in control engineering and signal processing.
China's Elite Politics provides a new theoretical perspective on elite politics in China and uses this theoretical perspective to explain power transfer from Jiang Zemin to Hu Jintao and political dynamics between different factional groups since the Sixteenth Party Congress of November 2002. It explains the transition in structural terms, presents characteristics of China's political elites, and analyzes the balance of power among formal institutions as well as among factional groups. It also examines political interactions between Jiang Zemin and his cronies on the one side and Hu Jintao and his allies on the other over a number of issues: the epidemic of severe acute respiratory syndrome (SARS); ideological institutionalization; the politics over economic overheating; Jiang Zemin's complete retirement; and Hu Jintao's power consolidation in both ideological and personnel terms. /a
A sequel to the author's trailblazer (China's Elite Politics: Political Transition and Power Balancing, published by World Scientific in 2007), this book tackles the issue of governance in China. It provides up-to-date information on China's political elites and evaluates their ability to deal with crises through four case studies: Snowstorm in the South, the Tibet issue, the Sichuan Earthquake, and the Beijing 2008 Olympic Games.Along with China's Elite Politics: Political Transition and Power Balancing, this book provides rich empirical information on and insightful theoretical understanding of national-level politics in China and serves as a good reference source for students of Chinese politics.
Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. - Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing - Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence - Provides many applications and examples in the engineering and computer science area - Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models
The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies. The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.
Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of federated learning.The first part lays a foundational understanding of federated learning by going through its definition and characteristics, and also possible application scenarios and related privacy protection technologies. The second part elaborates on some of the federated learning algorithms innovated by JD Technology which encompass both vertical and horizontal scenarios, including vertical federated tree models, linear regression, kernel learning, asynchronous methods, deep learning, homomorphic encryption, and reinforcement learning. The third and final part shifts in scope to federated learning systems — namely JD Technology's own FedLearn system — by discussing its design and implementation using gRPC, in addition to specific performance optimization techniques plus integration with blockchain technology.This book will serve as a great reference for readers who are experienced in federated learning algorithms, building privacy-preserving machine learning applications or solving real-world problems with privacy-restricted scenarios.
ACS In Focus Electrochemical Imaging introduces some of the most exciting and important imaging techniques in electrochemistry. This digital primer, targeted at senior undergraduate students and first-year graduate students, demonstrates how electrochemical imaging has become increasingly important in enhancing our fundamental understanding of the electrode/solution interface. Chapter 1 introduces electrochemistry, the unique aspects of electrochemical reactions, and the key importance of electrochemical imaging. Chapter 2 focuses on array-based electrochemical imaging methods. Chapter 3 describes several electrochemical imaging methods based on small scanning probes. Chapter 4 introduces electrochemical imaging methods based on optical microscopies, such as fluorescence, dark field, and Raman spectroscopy. The last chapter is devoted to briefly discussing some imaging methods for examining the electrochemical interface with molecular and atomic scale resolution. It also reveals exciting ways of using in-situ methods, such as electron microscopies, to image electrochemical processes in situ.
Kyu-bo Yi (1168-1241), the greatest of the classical Korean poets, was born into a very turbulent period of history, when the Koryo kingdom was threatened from the north by barbarians and from within by the ongoing struggle for supremacy among the various factions. His poems, confessional and transcendent, describe moments of personal illumination in the course of everyday life.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.