This paper presents a fast approach for vision-based self-localization in RoboCup. The vision system extracts the features required for localization without processing the whole image and is a first step towards independence of lighting conditions. In the field of self-localization, some new ideas are added to the well-known MonteCarlo localization approach that increase both stability and reac...

Mechatronic automotive systems are hybrid systems. Modelling and simulation of the interactions between continuous and discrete parts is essential to evaluate dependability. In this paper we show how a simple mechatronic system can be modelled in the CPN formalism. Quantitative dependability evaluation is obtained thanks to MonteCarlo simulation. We use the DesignCPN Occurrence Graph tool to va...

In this work we focus on the effects of aggregation on parameters estimation and Value-at-Risk computation if the data generator follow a FIGARCH model. We present a Montecarlo experiment which shows that the memory structure is affected. In a second simulation study we compare Value-at-Risk estimates obtained by high frequency and aggregated data. We verify that aggregated data have a better p...

We propose a novel approach to intranuclear cascades which takes as input quantum MonteCarlo nuclear configurations and uses semi-classical, impact-parameter based algorithm modelthe propagation of protons neutrons in the medium. successfully compare oursimulations available proton-carbon scattering data nuclear-transparency measurements. Byanalyzing dependence simulated observables upon ingred...

We study the effect of mutations in a simple model of colonization, based on Montecarlo simulations. When the population colonizes the whole available habitat, a maximum population density is reached, which depends on the mutation rate. Depending on the values of other parameters, such as selection pressure, fecundity and mobility, there is an optimal value for the mutation rate for which the c...

The last decade has seen the emergence of a wide range of automated calculations for supersymmetric extensions of the Standard Model. This guide contains a brief summary of these, with the main focus on hadron collider phenomenology, as well as a brief introduction to the so-called SUSY Les Houches Accord. See also the Les Houches Web Repository for BSM Tools: http://www.ippp.dur.ac.uk/montecar...

In the diffuse interstellar medium a molecule experiences isolation conditions that cannot (yet?) be achieved in the laboratory. In such conditions its rotation is dominated by the interaction with the radiation field through a complex statistical equilibrium. This problem has been analyzed numerically with MonteCarlo techniques, for a simplified PAH molecule model. As a possible application, t...

We consider the SU(2) lattice gauge theory at finite temperature in (d+1) dimensions, with different couplings βt and βs for timelike and spacelike plaquettes. By using the character expansion of the Wilson action and performing the integrals over space-like link variables, we find an effective action for the Polyakov loops which is exact to all orders in βt and to the first nontrivial order in...

The effect of surface roughness on the secondary electron emission from a sawtooth and isosceles triangle surface in a magnetic field under electron bombardment is investigated using a MonteCarlo method. Some of the secondary electrons emitted from the surface return to the surface within their first few gyrations, resulting in a low effective secondary electron yield. Both sawtooth and isoscel...

According as the progress of medical technique, X-ray imaging systems have been progressed. Especially, X-ray CT imaging system have been improved and widely used as general diagnostic methods nowadays in Japan. However, the doses for patients of X-ray CT imaging are relatively higher than of other Xray examinations. The dose estimations and optimizations on X-ray CT are very important for medi...