This book presents an approach based on Linux operating system, including issues such as kernel per se, units use and construction, different types of them, debugging techniques, as well as time management, interruptions, DMA (direct memory access), different buses and…

This text introduces comprehensively the reader to the distance teaching/learning process.
With this purpose, it presents a model of the Distance Education System to be used for understanding its embedded elements: contents, instructional design, communications, interaction, learning environment, and administration.

The area of multi-objective optimization is receiving increasing attention by the comunity of evolutionary computation. In this book the authors present a complete state-of-the art in the field.

In this paper, a method for representing scalar functions on volumes is presented. The method is based on wavelets and it can be used for representing volumetric data (geometric or scalar) defifined on non structured grids. The basic contribution is…

The objective of this research is to develop a tool for the generation of 3D objects modeled with flexible materials, with visco-elastic or inelastic characteristics, similar to the plasticine. It is desirable to prioritize the simplicity of the interface with…

The two volumes attempt to render a self-contained idea of the state of the art of cluster computing by the year 1999. In the whole, thirty-six articles are presented in Vol. 1 and twenty-nine articles in Vol.2. In each volume,…

A large quantity of data of different types and priorities pass through on high-speed networks. A relevant part of these data, like continuous media (audio, video, and so), need a control of its Quality of Service (QoS). This paper describes…

This paper describes a new classification method (DER) based on evidential reasoning to which a series of modifications are added [1]. DER allows including new evidence for the classification process and defines a different decision rule. The evidential reasoning algorithm…

Q-Learning is a Reinforcement Learning method for solving sequential decision problems, where the utility of actions depends on a sequence of decisions and there exists uncertainty about the dynamics of the environment the agent is situated on. This general framework…

In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading to the…