Second-order Møller-Plesset perturbation theory without basis set superposition error : II : open-shell systems

The basis set superposition error-free second-order MØller-Plesset perturbation theory of intermolecular interactions was studied. The difficulties of the counterpoise (CP) correction in open-shell systems were also discussed. The calculations were performed by a program which was used for testing the new variants of the theory. It was shown that the CP correction for the diabatic surfaces should be preferred to the adiabatic ones

Millora aerodinàmica de la nova carrosseria del vehicle l'Àliga. Estudis dels efectes de la rugositat i l'inserció d'apèndixs aerodinàmics

L' objectiu d' aquest estudi és intentar millorar l' aerodinàmica de la nova carrosseria del vehicle de baix consum de la UdG,l' Àliga, a través de programes informàtics de CFD. Des de fa uns anys l' Escola Politècnica Superior de la Universitat de Girona participa a l' Eco Shell Marathon, mirant d' assolir els millors resultats possibles.El nom del vehicle utilitzat per aquesta carrera és l' Àliga. Aquest projecte parteix dels resultats obtinguts al Projece fi de carrera d' en Daniel Vilavedra Vilà (2006):"Redisseny aerodinàmic de la carrosseria del vehicle de baix consum Àliga"

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm