XML is a powerful cross-platform mark-up language which has been readily adopted as a standard in many spheres of web and software development. Real benefits include its ease of integration into existing systems, the simplicity of using it in object-oriented environments and its wide applicability. Chris Bates shows how to use XML in modern...

Efficient, high-quality data access code is crucial to the performance and usability of virtually any enterprise application-and there's no better way to improve an existing system than to optimize its data access code. Regardless of database engine, platform, language, or application, developers repeatedly encounter the same...

This application-oriented book introduces the associations between contact mechanics and friction and with it offers a deeper understanding of tribology. It deals with the associated phenomena of contact, adhesion, capillary forces, friction, lubrication, and wear from one consistent viewpoint. The author goes into (1) methods of rough...

This book discusses six major principles of relevance to environmental issues and uses them to evaluate a set of environmental policies. The principles chosen include three that are specific to environmental matters – ecological sustainability, the polluter pays principle and the precautionary principle – and three more that have...

Remotely-sensed images of the Earth's surface provide a valuable source of information about the geographical distribution and properties of natural and cultural features. This fully revised and updated edition of a highly regarded textbook deals with the mechanics of processing remotely-senses images. Presented in an accessible manner,...

This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes...

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...