Literatura científica selecionada sobre o tema "Nomination persistante"
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Artigos de revistas sobre o assunto "Nomination persistante"
Maisonneuve, Daniel. "Structure familiale et exode rural". Articles 14, n.º 2 (31 de outubro de 2008): 231–40. http://dx.doi.org/10.7202/600572ar.
Texto completo da fonteDominguez, Audrey. "Plantes et dragons". IRIS, n.º 41 (26 de novembro de 2021). http://dx.doi.org/10.35562/iris.2217.
Texto completo da fonteDongmo, Julio César. "La surveillance : un instrument d’évitement de l'intrusion militaire dans le champ politique camerounais". Canadian Journal of Political Science, 8 de janeiro de 2025, 1–19. https://doi.org/10.1017/s0008423924000659.
Texto completo da fonteTeses / dissertações sobre o assunto "Nomination persistante"
Agbodan, Dago. "Nomination persistante dans un modèle paramétrique : identification non-ambigue͏̈ et appariement générique d'entités topologiques". Poitiers, 2002. http://www.theses.fr/2002POIT2313.
Texto completo da fonteParametric models have a dual structure where an abstract representation (the parametric specification) references an explicit representation (the geometry). The persistent naming problem is to maintain the references between these two representations in order to be able to reevaluate the second starting from the first, in spite of modifications. The problem is to identify an entity in an initial model, then to find it in a reevaluated model. We propose to represent evolutions of the shells and faces of the modeled objects in a graph. Each entity referenced by the specification is characterized in terms of the graph nodes, and by a link to the current geometry. Matching the initial graph and a reevaluated graph throughout a revaluation, and then, searching common elements in these graphs, allows us to interpret the references and thus to maintain the link between the parametric specification and the geometry in the reevaluated object, ensuring a persistent naming
Gaide, Maxime. "Modélisation et rejeu basés sur des règles". Electronic Thesis or Diss., Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique, 2024. http://www.theses.fr/2024ESMA0026.
Texto completo da fonteDesigning a complex object is a tedious process involving repeated cycles of trial and error. In order to alleviate such a difficulty in the designing process, current parametric modelling systems offer some reevaluation mechanism sallowing a user to rebuild an object based on the editing of its parameters. However, such a process requires either processing an entire mesh in order to detect topological changes, which is computationally expensive, or hard-coding the changes in the modelling operations, which is computationally efficient but increases the risks to introduce detection errors. To address these limitations, our works focus on the development of a rule-based modelling system dedicated to the reevaluation of modelling processes. In particular, this system allows the addition, deletion and reordering of the operations defining those processes. We consider operations formalised with Jerboa’s graph transformation rules. Our first contribution is the syntactic analysis of the operations allowing for the detection of topological changes (creation, split, merge, and so on). These analyses are statically performed on rules, independently of the object onto which they are being applied. Thus, topological changes can be automatically detected and tracked. In some defined cases, a localised analysis performed within the object can assert whether the event has occurred or not. Our second contribution makes use of our topological changes detection approach in order to offer a reevaluation mechanism. Considering that a modelling process is a record of operations sequentially applied on specific topological entities, reevaluating a modelling process first requires solving the long-standing problem of persistently naming topological entities in a geometric model. To achieve this goal, we offer to reconstitute the histories of topological entities referenced within a modelling process. Each entity can be identified through its history, which is unique. With this mechanism, we reference topological entities in a robust way throughout reevaluation. Our third contribution aims to extend our reevaluation mechanism to include scripts of rules which can be used to create more complex operations. The Jerboa script language makes it possible to create such scripts with usual control structures such as alternatives and iterations. We extend our reevaluation mechanism by including these control structures, hence, enabling the user with greater versatility in modelling and managing complex operations