Percolation model for structural phase transitions in Li1−x_{1-x}Hx_xIO3_3 mixed crystals

A percolation model is proposed to explain the structural phase transitions found in Li$_{1-x}$H$_x$IO$_3$ mixed crystals as a function of the concentration parameter $x$. The percolation thresholds are obtained from Monte Carlo simulations on the specific lattices occupied by lithium atoms and hydrogen bonds. The theoretical results strongly suggest that percolating lithium vacancies and hydrogen bonds are indeed responsible for the solid solution observed in the experimental range $0.22 < x < 0.36$.Comment: 4 pages, 2 figure

Linear feature detection on SAR images

We aim at defining an automatic or semi-automatic method for the extraction of road network in radar images . To realize the low level detection, line detectors are proposed . They extract linear features which become candidates for road segments . Two loca l structure detectors are developed taking into account the speckle phenomenon, and an extensive study of their behaviour as wel l as the behaviour of the fusion of their responses is made (theoretical detection and false alarm probabilities are evaluated an d computed on real images) . One of this detector is based on an edge detector widely used in coherent imagery, and the secon d one is based on a specific adapted filtering . The line detection is eventually made by the fusion of both detector responses .Dans l'objectif d'établir une méthode de détection semi-automatique du réseau routier sur des images radar, des détecteur de lignes sont développés. Ils ont pour but d'extraire des structures linéaires de l'image, qui seront ensuite considérées comme des segments « candidats routes ». Deux détecteurs de lignes prenant en compte les statistiques du speckle sont proposés, et une étude détaillée de leurs comportements et du comportement de leur fusion (probabilités de détection et de fausse alarme) est réalisée. L'un de ces détecteurs est fondé sur un détecteur de contours largement utilisé en imagerie radar, et l'autre plus original sur un filtrage adapté. La détection de lignes est finalement réalisée par la fusion des réponses de ces deux détecteurs

European integration assessed in the light of the 'rules vs. standards debate'

The interplay of various legal systems in the European Union (EU) has long triggered a debate on the tension between uniformity and diversity of Member States' (MS) laws. This debate takes place among European legal scholars and is also paralleled by economic scholars, e.g. in the ambit of the 'theory of federalism'. This paper takes an innovative perspective on the discrepancy between 'centralized' and 'decentralized' law-making in the EU by assessing it with the help of the rules versus standards debate. When should the EU legislator grant the national legislator leeway in the formulation of new laws and when should all be fixed ex ante at European level? The literature on the 'optimal shape of legal norms' shall be revisited in the light of law-making in the EU, centrally dealing with the question how much discretion shall be given to the national legislator; and under which circumstances. This paper enhances the established decisive factors for the choice of a rule or a standard in a national setting (complexity, volatility, judges' specialization and frequency of application) by two new crucial factors (switching costs and the benefit of uniformity in terms of information costs) in order to assess law-making policies at EU level

Bayesian Action–Perception Computational Model: Interaction of Production and Recognition of Cursive Letters

In this paper, we study the collaboration of perception and action representations involved in cursive letter recognition and production. We propose a mathematical formulation for the whole perception–action loop, based on probabilistic modeling and Bayesian inference, which we call the Bayesian Action–Perception (BAP) model. Being a model of both perception and action processes, the purpose of this model is to study the interaction of these processes. More precisely, the model includes a feedback loop from motor production, which implements an internal simulation of movement. Motor knowledge can therefore be involved during perception tasks. In this paper, we formally define the BAP model and show how it solves the following six varied cognitive tasks using Bayesian inference: i) letter recognition (purely sensory), ii) writer recognition, iii) letter production (with different effectors), iv) copying of trajectories, v) copying of letters, and vi) letter recognition (with internal simulation of movements). We present computer simulations of each of these cognitive tasks, and discuss experimental predictions and theoretical developments