Depth From Defocus: A Real Aperture Imaging Approach

One of the project's major goals was the development of dry, calcium-based sorption processes for removing sulfur dioxide from the combustion gases produced by high-sulfur coal.Dry Scrubbing Technologies for Flue Gas Desulfurization will appeal to both chemical and environmental engineers who examine different ways touse coal in a more environmentally benign manner. Dry Scrubbing Technologies for Flue Gas Desulfurization represents a body of research that was sponsored by the State of Ohio's Coal Development Office for the development of technologies that use coal in an economic, environmentally-sound manner.

The last half-century has shown a dramatic increase in the standard of living of millions of people in Europe, North America and many parts of the Third World. Whilst some of these promises have been fulfilled, the problems of long-term health risks to humans and wildlife arising from the use, production and disposal of these products were either unknown or deliberately understated. This has, in many ways been brought about by scientific and technical developments which were initiated in the 1940s and 1950s..

The book includes discussions on the purification, function, and enzyme kinetics of selected glycosidases and glycotransferases, as well as a review of the roles of oligosaccharides in glycoprotein function and the in vivo role of glycoproteins themselves.Protein Glycosylation provides clear, up-to-date, and integrated coverage of key topics in this field. Particular emphasis is placed on the biosynthetic pathways that result in a wide variety of identified protein-bound oligosaccharides. Protein Glycosylation begins with an overview of the chemical structures of mono- and oligosaccharides, to provide a scientific basis for the later chapters.

The work also serves as an excellent reference for researchers in medical and veterinary schools working in reproductive medicine.. In addition, the author provides detailed comparative surveys of each of the major topics discussed.

Therefore, we felt that a second edition of CAPD/CCPD in Children was propitious to update the advances of the past decade.. It has been more than a decade since the initial publication of CAPD/CCPD in Children.

The next two parts of the book deal respectively with social insurance programs (Part II, chapters 7-10), and other employer provided benefits (Part III, chapters 11-16).The Economics of Social Insurance and Employee Benefits This book is intended for junior and senior undergraduate students, and master level students in human resources, risk management and insurance, industrial relations or public policy. It also includes those benefits voluntarily provided by firms including: group medical care, disability benefits, paid sick time, pension benefits, life insurance, and assorted other fringe benefits.

State-Space Search Heuristic state-space search is one of the fundamental problem-solving techniques in Computer Science and Operations Research, and usually constitutes an important component of most intelligent problem-solving systems.Best-first search and depth-first branch-and-bound are very well known and have been used extensively in Computer Science and Operations Research. One important feature of depth-first branch-and-bound is that it only requires space this is linear in the maximal search depth, making it very often a favorable search algo­ rithm over best-first search in practice. The two central themes of this book are the average-case complexity of heuristic state-space search algorithms based on branch-and-bound, and their applications to developing new problem-solving methods and algorithms.

This book is about passive techniques for depth recovery, where the scene is illuminated only by natural light as opposed to active methods where a special lighting device is used for scene illumination. Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance.

Best-first search and depth-first branch-and-bound are very well known and have been used extensively in Computer Science and Operations Research. Iterative deepening is an important algorithm in Artificial Intelligence, and plays an irreplaceable role in building a real-time game-playing program. Specifically, it is about heuristic state-space search under branch-and-bound framework for solving com­ binatorial optimization problems. One important feature of depth-first branch-and-bound is that it only requires space this is linear in the maximal search depth, making it very often a favorable search algo­ rithm over best-first search in practice.

Depth From Defocus: A Real Aperture Imaging Approach.This book is about passive techniques for depth recovery, where the scene is illuminated only by natural light as opposed to active methods where a special lighting device is used for scene illumination. Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance.