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Modeling and Reasoning with Bayesian Networks
This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.
Nausea
Nausea is a complex sensation that results from the interaction of certain fixed biological factors, such as gender, with changeable psychological factors, such as anxiety. This is the first book to provide a complete, in-depth explanation of what we know about nausea, along with the latest research results on its causes and treatment. As it is the product of long-term collaboration between scientists from the three main approaches to studying and treating nausea--psychology, gastroenterology, and physiology--the information this book provides is both comprehensive and well integrated. The book is divided into two parts, on mechanisms and management, respectively, and four sections. The chap...
Nonlinear Model Predictive Control
This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimi...
E-Services Adoption
This book recognizes the uniqueness of the moment; the number of new users of e-services will double during 2015-2018 (moving from 2 billion users mostly from developed nations to an additional 2 billion mostly from developing nations). This radical embrace of new e-service technologies will improve the quality of lives for residents globally.
Distributed Decision Making and Control
Distributed Decision Making and Control is a mathematical treatment of relevant problems in distributed control, decision and multiagent systems, The research reported was prompted by the recent rapid development in large-scale networked and embedded systems and communications. One of the main reasons for the growing complexity in such systems is the dynamics introduced by computation and communication delays. Reliability, predictability, and efficient utilization of processing power and network resources are central issues and the new theory and design methods presented here are needed to analyze and optimize the complex interactions that arise between controllers, plants and networks. The ...
Iterative Learning Control with Passive Incomplete Information
This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model—for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomple...
Electrochemistry of N4 Macrocyclic Metal Complexes
This new edition describes the state of the art regarding molecular catalysts such as MN4 metal complexes, like porphyrins and phthalocyanines. This volume focuses on the particular case of the electrocatalysis of the reduction of O2 for practical applications in fuel cells and air batteries. Indeed, active and stable materials have been developed in the last 5 years where MN4 catalytic systems can be obtained by the pyrolysis of starting materials that do not necessarily involve MN4 complexes. These latter systems constitute a new class of stable and highly active non-precious metal catalysts for ORR that can replace expensive Platinum containing electrodes. The book also offers future projections and points out new fields of research and development of these non-precious metal catalysts.
Nanocarbons for Advanced Energy Storage
In this second volume in the first book series on nanocarbons for advanced applications the highly renowned series and volume editor has put together a top author team of internationally acclaimed experts on carbon materials. Divided into three major parts, this reference provides a current overview of the design, synthesis, and characterization of nanocarbons, such as carbon nanotubes, fullerenes, graphenes, and porous carbons for energy conversion applications. It covers such varied topics as electrocatalysts for oxygen reduction reactions in the different types of fuel cells, metal-air batteries and electrode materials for photovoltaic devices, as well as photocatalysts, electrocatalysts and photoelectrocatalysts for water splitting. Throughout, the authors highlight the unique aspects of nanocarbon materials in these fields, with a particular focus on the physico-chemical properties which lead to enhanced device performances.
Product Innovation through Knowledge Management and Social Media Strategies
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Reviews of Environmental Contamination and Toxicology 189
Reviews of Environmental Contamination and Toxicology attempts to provide concise, critical reviews of timely advances, philosophy and significant areas of accomplished or needed endeavor in the total field of xenobiotics, in any segment of the environment, as well as toxicological implications.
