This paper deals with communication in autonomous multi-robots system. We propose a self-stabilizing scheduling algorithm that solves the management of visits to the locations ensuring that after stabilization phase, every visit will lead to a communication. Next, we present a second self-stabilizing algorithm, based on the above one, computing the shortestpath for all-pairs of locations. MOTS-...

This paper summarises the presentations and exchanges that took place in the SéMo’2007 workshop in March 2007 in Toulouse during the IDM conference. The main topic of the workshop was the semantics of models and meta-models in the purpose to confront the MDE users needs and the technologies used for specification and programming languages. MOTS-CLÉS : IDM, Sémantiques des modèles et méta-modèle...

Economic approaches to precaution: a critical presentation. The precautionary principle is well known nowadays. But does it have an economic foundation? We present two theories of precaution. The first is based on the standard model of expected utility with a Bayesian belief revision. The second is based on ambiguity aversion. We discuss the advantages as well as the weaknesses of these two app...

We present in this paper a method to automatically acquire a syntactic lexicon of subcategorization frames for French verbs directly from large corpora. The method is evaluated against existing lexical resources: we show that our system is capable of producing new frames that were not previously registered. Lastly, we show that it is possible to induce lexico-semantic classes « à la Levin » (19...

In this paper, we propose word sense disambiguation methods based on lexical substitution and used for the task 1 of the SemDis2014 workshop. This methods are run by using short random walks on unipartite networks or bipartite networks. Some of these methods only use graphs automatically built from corpora (unsurpervised methods), others also use graphs built from handcraft resources filled by ...

This paper proposes to link the concepts of self-organization and adaptive memory programming (AMP) in the field of optimization metaheuristics. The self-organization is described within the framework of biology and the AMP is defined. The main categories of the metaheuristics using these two concepts are described and uses of the self-organization and the AMP are highlighted. MOTS-CLÉS : optim...

This article presents some way to do quality control after digitization, specially out of focus problem. We will enumerate different point of view to analyse and to estimate this information. To validate descriptors, we suggest to blur any picture and to compute blur estimation in order to evaluate precision. After that, we propose to combinate descriptors by machine learning. MOTS-CLÉS : docum...

This paper describes a library of parameterized arithmetic operators for manipulating high-dynamic numbers on FPGA. It support both floating-point and logarithmic representations. Along with its direct interest, that library allow application-specific comparisons of those two number representation systems. It is unbiased in the sense that it tends to reflect the state-of-the-art for both number...

Automatic events extraction by combining multiple approaches In this paper, we present an automatic system for extracting events based on the combination of two existing information extraction approaches : the first one is made of hand-crafted linguistic rules and the second one is based on an automatic learning of linguistic patterns. We have shown that this mixed approach leads to a significa...

This paper presents an application of Text Zoning to the ACL Anthology. Text Zoning is known to be useful to characterize the content of papers, especially in the scientific domain. We show that recent techniques based on weakly supervised learning obtain excellent results on the ACL Anthology. Although these kinds of techniques is known in the domain, it is the first time it is applied to the ...