تحسين النتائح
ترتيب حسب
من
الى
الصفحة 7
الصفحة 7
Acid Rain - Deposition to Recovery
Acid rain is still with us. Although it is a problem that people have worked diligently to solve, there are still many problem areas throughout the world. In reality the focus of acid rain research has shifted, and this book adds new vision to the topic. It contains papers, selected from Acid Rain 2005, the 7th International Conference on Acid Deposition, that take a broad perspective of the issues, emphasizing a number of themes: - the emission, concentration and deposition of pollutants / - nitrogen and trace elements in ecosystems and their effects on forests, water and soil / - studies of material damage and recovery - critical loads / The book is aimed at scientists and researchers who are working in the area of acid rain and its effects, and on nutrient cycling. This latest research will be of value to those concerned with the mitigation of acid rain effects.
A Theory of Shape Identification
Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases. They have been applied to image stitching, stereo vision, image mosaics, solid object recognition and video or web image retrieval. More fundamentally, the ability of humans and animals to detect and recognize shapes is one of the enigmas of perception. The book describes a complete method that starts from a query image and an image database and yields a list of the images in the database containing shapes present in the query image. A false alarm number is associated to each detection. Many experiments will show that familiar simple shapes or images can reliably be identified with false alarm numbers ranging from 10-5 to less than 10-300.
A Space of Their Own : The Archaeology of Nineteenth Century Lunatic Asylums in Britain, South Australia and Tasmania
The history of lunatic asylums – what do we really know about them? Films and television programs have portrayed them as places of horror where the patients are restrained and left to listen to the cries of their fellow inmates in despair. But what was the world of nineteenth century lunatic asylums really like? Are these images true? This book will explore this world using the techniques of historical archaeology and history.
A life cycle for clusters? : The dynamics of agglomeration, change, and adaption
The phenomenon of non-random spatial concentrations of firms in one or few related sectors (clusters) is intensively debated in economic theory and policy. The euphoria about successful clusters however neglects that historically, many thriving clusters did deteriorate into old industrial areas. This book studies the determinants of cluster survival by analyzing their adaptability to change in the economic environment. Linking theoretic knowledge with empirical observations, a simulation model (based in the N/K method) is developed, which explains when and why the cluster's architecture assists or hampers adaptability. It is found that architectures with intermediate degrees of division of labour and more collective governance forms foster adaptability. Cluster development is thus path dependent as architectures having evolved over time impact on the likelihood of future survival.
3D-Position Tracking and Control for All-Terrain Robots
Rough terrain robotics is a fast evolving field of research and a lot of effort is deployed towards enabling a greater level of autonomy for outdoor vehicles. This book demonstrates how the accuracy of 3D position tracking can be improved by considering rover locomotion in rough terrain as a holistic problem. In this work, a mechanical structure allowing smooth motion across obstacles with limited wheel slip is used. In particular, it enables the use of odometry and inertial sensors to improve the position estimation in rough terrain. A method for computing 3D motion increments based on the wheel encoders and chassis state sensors is developed. The algorithm runs online and can be adapted to any kind of passive wheeled rover. Finally, sensor fusion using 3D-Odometry, inertial sensors and visual motion estimation based on stereovision is presented. The experimental results demonstrate how each sensor contributes to increase the accuracy and robustness of the 3D position estimation.
