957 resultados para Ensemble nodal
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La version intégrale de cette thèse est disponible uniquement pour consultation individuelle à la Bibliothèque de musique de l'Université de Montréal (www.bib.umontreal.ca/MU).
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Cette recherche-action participative s’inscrit dans un paradigme féministe intersectionnelle. Elle présente la façon dont sept jeunes femmes de la rue (18-23 ans) de Québec ont fait l’expérience de la violence structurelle et ont déployé des stratégies pour y faire face. Elle s’articule autour d’une définition de la violence structurelle inspirée de celle proposée par Farmer, Bourgois, Scheper-Hugues et al. (2004) qui la présentent comme étant le processus à la racine des inégalités sociales et de l’oppression vécue par différents groupes sociaux. Ce processus s’opère dans trois dimensions complémentaires soit : 1) la domination symbolique, 2) la violence institutionnelle et 3) la violence quotidienne. Une analyse de contenu thématique a permis de dégager l’expérience des participantes dans chacune de ces dimensions. L’analyse de la domination symbolique a montré que les participantes ont été perçues à travers le prisme de quatre visions ou préjugés : 1) l’image de la jeune délinquante (Bad girl), 2) le discours haineux envers les personnes assistées sociales, 3) la culture du viol et 4) l’hétéronormativité. Les différentes expériences de violence quotidienne et institutionnelle vécues par les participantes peuvent être mises en lien avec ces manifestations de la domination symbolique. Les participantes ont expérimenté la violence institutionnelle à travers leurs trajectoires au sein des services de protection de l’enfance, durant leurs démarches pour obtenir un emploi, un logement ou du soutien financier de la part des programmes offerts par l’État et pendant leurs demandes d’aide auprès d’organismes communautaires ou d’établissements du réseau de la santé et des services sociaux. L’analyse de l’expérience des participantes a permis de révéler deux processus imbriqués de façon cyclique de violence structurelle : l’exclusion et le contrôle social. La plupart des stratégies ii expérimentées par les participantes pour combler leurs besoins fondamentaux les ont exposées au contrôle social. Le contrôle social a exacerbé les difficultés financières des participantes et a accru leur crainte de subir de l’exclusion. Bien que la violence structurelle expérimentée par les participantes se situe à la croisée des rapports de pouvoir liée au genre, à la classe sociale, à l’âge et à l’orientation sexuelle, il se dégage que la domination masculine s’est traduite dans le quotidien des participantes, car l’exclusion et le contrôle social ont créé des contextes où elles ont été susceptibles de subir une agression sexuelle ou de vivre de la violence de la part d’un partenaire intime. L’analyse de la dimension intersubjective de la grille d’analyse de Yuval-Davis (2006) montre la présence de certains rapports de pouvoir liés à la classe sociale au sein même de la population des jeunes de la rue. Cette analyse souligne également la difficulté des participantes à définir les contours de la violence et d’adopter des rapports égalitaires avec les hommes. Enfin, le processus de recherche-action participative expérimenté dans le cadre de cette thèse a été analysé à partir des critères de scientificité présentés par Reason et Bradbury (2001). L’élaboration de deux projets photos, choisis par le groupe en guise de stratégie de lutte contre la violence structurelle, a contribué à ouvrir le dialogue avec différents acteurs concernés par la violence structurelle envers les jeunes femmes de la rue et s’est inscrit dans une perspective émancipatoire.
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Data mining is one of the hottest research areas nowadays as it has got wide variety of applications in common man’s life to make the world a better place to live. It is all about finding interesting hidden patterns in a huge history data base. As an example, from a sales data base, one can find an interesting pattern like “people who buy magazines tend to buy news papers also” using data mining. Now in the sales point of view the advantage is that one can place these things together in the shop to increase sales. In this research work, data mining is effectively applied to a domain called placement chance prediction, since taking wise career decision is so crucial for anybody for sure. In India technical manpower analysis is carried out by an organization named National Technical Manpower Information System (NTMIS), established in 1983-84 by India's Ministry of Education & Culture. The NTMIS comprises of a lead centre in the IAMR, New Delhi, and 21 nodal centres located at different parts of the country. The Kerala State Nodal Centre is located at Cochin University of Science and Technology. In Nodal Centre, they collect placement information by sending postal questionnaire to passed out students on a regular basis. From this raw data available in the nodal centre, a history data base was prepared. Each record in this data base includes entrance rank ranges, reservation, Sector, Sex, and a particular engineering. From each such combination of attributes from the history data base of student records, corresponding placement chances is computed and stored in the history data base. From this data, various popular data mining models are built and tested. These models can be used to predict the most suitable branch for a particular new student with one of the above combination of criteria. Also a detailed performance comparison of the various data mining models is done.This research work proposes to use a combination of data mining models namely a hybrid stacking ensemble for better predictions. A strategy to predict the overall absorption rate for various branches as well as the time it takes for all the students of a particular branch to get placed etc are also proposed. Finally, this research work puts forward a new data mining algorithm namely C 4.5 * stat for numeric data sets which has been proved to have competent accuracy over standard benchmarking data sets called UCI data sets. It also proposes an optimization strategy called parameter tuning to improve the standard C 4.5 algorithm. As a summary this research work passes through all four dimensions for a typical data mining research work, namely application to a domain, development of classifier models, optimization and ensemble methods.
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Resumen tomado de la publicaci??n
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The prediction of extratropical cyclones by the European Centre for Medium Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction (NCEP) Ensemble Prediction Systems (EPS) has been investigated using an objective feature tracking methodology to identify and track the cyclones along the forecast trajectories. Overall the results show that the ECMWF EPS has a slightly higher level of skill than the NCEP EPS in the northern hemisphere (NH). However in the southern hemisphere (SH), NCEP has higher predictive skill than ECMWF for the intensity of the cyclones. The results from both EPS indicate a higher level of predictive skill for the position of extratropical cyclones than their intensity and show that there is a larger spread in intensity than position. Further analysis shows that the predicted propagation speed of cyclones is generally too slow for the ECMWF EPS and show a slight bias for the intensity of the cyclones to be overpredicted. This is also true for the NCEP EPS in the SH. For the NCEP EPS in the NH the intensity of the cyclones is underpredicted. There is small bias in both the EPS for the cyclones to be displaced towards the poles. For each ensemble forecast of each cyclone, the predictive skill of the ensemble member that best predicts the cyclones position and intensity was computed. The results are very encouraging showing that the predictive skill of the best ensemble member is significantly higher than that of the control forecast in terms of both the position and intensity of the cyclones. The prediction of cyclones before they are identified as 850 hPa vorticity centers in the analysis cycle was also considered. It is shown that an indication of extratropical cyclones can be given by at least 1 ensemble member 7 days before they are identified in the analysis. Further analysis of the ECMWF EPS shows that the ensemble mean has a higher level of skill than the control forecast, particularly for the intensity of the cyclones, 2 from day 3 of the forecast. There is a higher level of skill in the NH than the SH and the spread in the SH is correspondingly larger. The difference between the ensemble mean and spread is very small for the position of the cyclones, but the spread of the ensemble is smaller than the ensemble mean error for the intensity of the cyclones in both hemispheres. Results also show that the ECMWF control forecast has ½ to 1 day more skill than the perturbed members, for both the position and intensity of the cyclones, throughout the forecast.
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The prediction of extratropical cyclones by the European Centre for Medium Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction (NCEP) Ensemble Prediction Systems (EPS) is investigated using a storm-tracking forecast verifica-tion methodology. The cyclones are identified and tracked along the forecast trajectories so that statistics can be generated to determine the rate at which the position and intensity of the forecasted cyclones diverge from the corresponding analysed cyclones with forecast time. Overall the ECMWF EPS has a slightly higher level of performance than the NCEP EPS. However, in the southern hemisphere the NCEP EPS has a slightly higher level of skill for the intensity of the storms. The results from both EPS indicate a higher level of predictive skill for the position of extratropical cyclones than their intensity and show that there is a larger spread in intensity than position. The results also illustrate several benefits an EPS can offer over a deterministic forecast.