36 research outputs found
Le personnel communal dans les communes rurales : l'exemple breton
No full textJoret Eric. Le personnel communal dans les communes rurales : l'exemple breton. In: La Gazette des archives, n°188-189, 2000. Le personnel communal face à son histoire : nouvelles approches, nouveaux enjeux (journées d’études co-organisées par l’AAF, le centre national de la fonction publique territoriale, la Ville de Reims, 24-25 novembre 1994) pp. 101-106
Le guide des archives communales de l'Ille-et-Vilaine
No full textJoret Eric. Le guide des archives communales de l'Ille-et-Vilaine. In: La Gazette des archives, n°163, 1993. Les archives en milieu rural (actes de la journée d’études de l’AAF, Paris, 22 janvier 1993) pp. 306-309
Archives des communes rurales et structures intercommunales en Ille-et-Vilaine
No full textJoret Eric. Archives des communes rurales et structures intercommunales en Ille-et-Vilaine. In: La Gazette des archives, n°199, 2005-3. Archives et politique de la ville, archives et intercommunalité (Colloques des archivistes municipaux, Toulouse 2000 et Dunkerque 2002) pp. 100-104
Expert systems: AI decision support tools for fire safety assessment
No full textInternational audienceFire safety studies conducted at IRSN aim to assess the adequacy and effectiveness of risk control measures taken by the operators of nuclear facilities. In support of these studies, IRSN has been developing for several years expert systems based on the Bayesian Belief Network methodology. These tools, taking advantage of the two-zone model SYLVIA, make it possible to better understand the behaviour of a nuclear facility and its systems in a fire situation. Specifically, this is achieved by dynamically crossing the knowledge of the physical phenomena involved, with the knowledge specific to the facility. As a result, expert systems allow for a better targeting of safety issues when carrying out risk assessments. An illustrative example is provided by the SyPRE expert system, developed for the study of pressure effects on fire-barriers resulting from a fire in nuclear facilities. A limiting factor for creating complex expert systems is the size of the simulation database. Thus, the challenge is to increase the complexity of expert systems by taking into account specific features of a nuclear facility, without having to exponentially increase the size of the knowledge base and the time to build it. An initial area of development was to adapt the expert system to the expert's use in order to make the best use of the knowledge base. This has been achieved through the development of the SE-Toolbox which allows an expert to set up his own expert system. A second area of development currently being investigated at IRSN consists of studying the extent to which machine learning techniques (neural networks) could be used to create approximation models of the SYLVIA software used to create the expert system knowledge base. The advantage of these techniques is that the computational time required to build large databases is considerably reduced, allowing a greater number of causal links to be characterized numerically. These areas of development are illustrated on the poster
Examining cognitive differences in expert meditators and non-meditators older adults
No full textThe Medit-Ageing Research Group: Florence Allais, Claire André, Eider Arenaza-Urquijo, Julien Asselineau, Sebastian Baez, Martine Batchelor, Axel Beaugonin, Maelle Botton, Pierre Champetier, Anne Chocat, Pascal Delamillieure, Vincent Sayette, Marion Delarue, Titi Dolma, Stéphanie Egret, Francesca Felisatti, Eglantine Ferrand-Devouges, Eric Frison, Francis Gheysen, Julie Gonneaud, Agathe Joret Philippe, Olga M. Klimecki, Elizabeth Kuhn, Brigitte Landeau, Gwendoline Le Du, Valérie Lefranc, Florence Mezenge, Inès Moulinet, Valentin Ourry, Cassandre Palix, Léo Paly, Stefano Poletti, Anne Quillard, Géraldine Rauchs, Corrine Schwimmer, Edelweiss Touron, Caitlin Ware & Tim Whitfield. /// Francis Gheysen, Caen, France,Psychiatrist, psychotherapist in private practice.International audienceWith aging, slight changes in some cognitive processes can be observed. Therefore, we aimed to assessif meditation expertise is associated with preserved cognition in key domains affected in aging. Weused data from two older-adult samples of the Medit-Ageing Age-well Study: 135 non-meditators and27 expert meditators. We examined group differences in four objective cognitive domains (attention,executive functioning, episodic memory, and global cognition) and three subjective scores: CognitiveDifficulties Scale (CDS) total score as well as Attentional Style Questionnaire (ASQ) internal andexternal scores using generalized mixed effect models, controlling for age, sex, and education. We didnot observe group differences on attentional, executive and global cognitive scores or on ASQ internalscore and CDS total score. However, meditators reported less external distraction (ASQ externalscore) and had better memory than non-meditators. These cross-sectional results indicate a bettermanagement of external stimuli and higher memory performance in expert meditators. Memorydifficulties and distractions being the main complaints of older people, prolonged meditation practicecould lead them to greater cognitive capacities important for healthy aging
Improving cable tray fire modelling with AI techniques
No full textInternational audienceModelling cable tray fires remains a complex issue, and existing models such as the FLASH-CAT model still have limitations due to the lack of information on certain input data. This paper discusses improvements in cable tray fire modelling by finding appropriate input data using an artificial intelligence (AI) technique. An AI-driven expert system was developed to assess missing data from a fire test database of 29 large scale cable tray fire experiments in open atmosphere. The expert system quantifies the dependencies between input and output data, helps identify influential parameters and refine model inputs. It also guides modelling efforts by identifying areas for model improvement. In this way, the applicability of an expert system in obtaining reliable input data for simulation tools to simulate a real fire scenario that has already been tested is demonstrated. Cable tray fire simulation results show improved accuracy compared with the use of default values for uncertain parameters
« Un révélateur de la situation économique du département : les dossiers de la contribution extraordinaire sur les bénéfices de guerre » et « Entre délation et bienveillance de l’administration fiscale : l’application d’une loi mal connue »
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