This work describes a two stages prediction method for wildland fire growth prediction. Proposed method takes advantege of genetic algorithms in order to develope a high performance and scalable application.

This paper focuses on prediction and prevention of seismic risk through a system for decision making.
Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as…

The Network Configuration Protocol (Netconf) is an IETF network management protocol using an RPCbased communication model. It was developed in the Netconf working group and published in December 2006 as RFC 4741 and later revised in June 2011 (RFC 6241).…

Through this textbook (written in Spanish), the author introduces the GPU as a parallel computer that is able to solve general-propose problems. The book has a didactic approach, it includes the first steps to CUDA programming, some tips to take…

In this work we present a discrete event model to design and implement a real time system simulator. This kind of software is useful to verify and evaluate algorithms and models, and to compute performance metrics. The discrete event model…

Multiple ontologies over shared domain has been produced in the geographic ontology-design field for GIS environments. In geneal, each GIS solution has its own data model or application ontology. Ontology model mapping could provide a common language from which several…

The main purpose of this book is to present the contents of an introductory course in databases. In this regard, one can find a number of material validity and recognized different scopes. This work is developed under the guidelines that…

Our interest is to define evolutionary algorithms to solve Constraint Satisfaction Problems (CSP), which indlude benefits of taditional resolution methods of CSPs as well as inherent characteristics of these kind of problems. In this paper we propose a criterion to…

Images compression is a widely studied topic. Conventional situations offer variable compression ratios depending on the image in question and, in general, do not yield good results for images that are rich in tones. This work is an application of…

Options have been shown to be a key step in extending
reinforcement learning beyond low-level reactionary systems
to higher-level, planning systems. Most of the options
research involves hand-crafted options; there has been only very limited work in the automated discovery…