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The need for privacy has become a major priority for both governments and civilians desiring protection from signal interception. Widespread use of personal communications devices has only increased demand for a level of...

This paper deals with the real time regulation of traffic within a disturbed transportation system. We show the necessity of a decision support system that detects, analyzes and resolves the unpredicted disturbances. Due...

This paper discusses automatic mapping methods for concurrent tasks to processors applying graph analysis for the relation among tasks, in which processing and communicating times are incorporated. Starting by an analysi...

Mobile agent systems have received important attention in the last years as a new programming paradigm for widely distributed and heterogeneous systems. In this article, a multi-paradigm approach for the development of i...

Research work on "short-text clustering" is a very important research area due to the current tendency for people to use "small-language", e.g. blogs, textmessaging and others. In some recent works, new bioinspired clust...

In this article we consider the problem of computing approximations to the second derivatives of functions of n variables using finite differences. We show how to derive different formulas and how to comput the errors of...

La prueba de existencia de equilibrio general bajo imposición dada por Shoven y Whalley en 1973 puede ser reinterpretada como la de existencia de equilibrio general sin impuestos pero en una economía con un bien más. ...

The ability to afford decision makers with both accurate and timely consolidated information as well as rapid query response times is the fundamental requirement for the success of a Data Warehouse. To provide fast acces...

Fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropiate tools for Intelligent Computer Systems. But on the other hand, learning alg...

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 t...

In order to be able to perform multimedia searches (like sounds, videos, images, etc.) we have to use data structures like the Spatial Approximation Tree (SAT). This structure is a nice example of a tree structure in whi...

This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mut...

At present, the early phase of Requirements Engineering is a new research area in the Software Engineering field. This phase is concerned with the analysis of the organizational context in which a software system will be...

In this article we show how the design of interfaces for the visualization of distributed system load can benefit from the combination of concepts and techniques from Information Visualization and Human Computer Interact...

An ubiquitous computation environment has as presupposed that the computation is in all equipment and devices, and these are interacting between itself and with the people. The connection between objects and human beings...

This paper presents a robust eye detection algorithm for gray intensity images. The idea of our method is to combine the respective advantages of two existing techniques, feature based method and template based method, a...

An accurate procedure for evaluating the strong correlation and conflicting goals of coverage, capacity and Quality of Service (QoS) is required for efficient planning of 3G radio networks. In this paper, we explore and ...

This paper describes how to design low-cost reliable computing software for various application systems, by incorporating a single-version fault tolerant scheme along with run-time signature-based control-flow checking. ...

In the Distributed Software Development (DSD) is fundamental the use of methodologies, techniques and tools to support the communication and help teams physically distributed in the activities accomplishment. The adequat...

This paper presents the Adesso, a computational environment for the development of scientific software. The Adesso environment leverages the reusable software component programming model to support the development and in...

Evolving neural arrays (ENA) have proved to be capable of learning complex behaviors, i.e., problems whose solution requires strategy learning. For this reason, they present many applications in various areas such as rob...

Camera calibration is an important task for machine vision, whose goal is to obtain the internal and external parameters of each camera. With these parameters, the 3D positions of a scene point, which is identified and m...

Facing the different approaches to process activation and global termination detection on distributed systems, this paper performs a practical comparison between the mainly opposed centralized and distributed models. Fir...

Since huge amounts of spatial data can be easily collected from various applications, ranging from remote sensing technology to geographical information system, the extraction and comprehension of spatial knowledge is a ...