Andrés G. Castillo Sanz

Use of ARIMA mathematical analysis to model the implementation of expert system courses by means of free software OpenSim and Sloodle platforms in virtual university campuses

Abstract This paper describes the implementation of a virtual World based in GNU OpenSimulator. This program offers a great variety of Web 3.0 ways of work, as it makes possible to visit web sites using avatars created for that purpose. The Universities should be familiar with the creation of new metaverses. That is the reason why a new basic methodology for the creation of a course on expert systems within a metaverse in a virtual campus for e-learning. Besides the creation of a repository or island, it is necessary to make measurements of the performance of the server dedicated to host the system when the number of users of the application grows. In order to forecast the behavior of such servers, ARIMA based time series are used. The auto-correlogrames obtained are analyzed to formulate a statistical model, as close to reality as possible.

Relative Radiometric Normalization of Multitemporal images

A correct radiometric normalization between both images is fundamental for change detection. MAD method and its IR-MAD extension in an implementation on multisprectral aerial images is described in this paper.

A Prototype for linear features generalization

A computer application designed to generalize linear elements in a vector formatted cartographic set by means of two of the most contrasted line generalization algorithms, Douglas-Peucker simplification and Bezier curves based smoothing, is presented in this paper. Regarding codification, the simultaneous treatment of different lineal geometry entity classes and the conservation of their original topological relationships among them are considered. It is recommended in processes that produce small scale reductions (in a 1:2 relationship or similar). The application allows changing the characteristic parameters of the referred algorithms and proposes a report of the results obtained after every transformation. That way it supplies an additional facility as a trial tool to choose the parameters that give the best results in every process.

Legal Issues Concerning P2P Exchange of Educational Materials and Their Impact on E- Learning Multi-Agent Systems

In current eLearning models and implementations (e.g. Learning Management Systems-LMS) there is a lack of engagement between formal and informal activities. Furthermore, the online methodology focuses on a standard set of units of learning and learning objects, along with pre-defined tests, and collateral resources like, i.e. discussion fora and message wall. They miss the huge potential of learning via the interlacement of social networks, LMS and external sources. Thanks to user behaviour, user interaction, and personalised counselling by a tutor, learning performance can be improved. We design and develop an adaptation eLearning model for restricted social networks, which supports this approach. In addition, we build an eLearning module that implements this conceptual model in a real application case, and present the preliminary analysis and positive results.

An Evaluation of Integration Technologies to Expose Agent Actions as Web Services

Integration capabilities are a key feature of today’s enterprise software systems; therefore, integration capabilities are necessary if Multi Agent Systems are to be successful on the enterprise current software landscape. This paper starts by presenting some remarks on exposing agent actions as web services, its pros and cons; then we present the results of exposing an agent action as a web service by exercising a contract net among agents and by invoking the contract net from a web service.

GIS Applications Use in Epidemiology GIS-EPI

This article highlights the peak of geographic information systems (GIS). These systems use has grown these last years applying to a great number of sectors. In this document we will focus in the use of theses systems in the epidemiologic filed, where the use of this kind of technology is essential to identify and avoid possible threats.