900 resultados para FAST


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Att beskriva hur unga kvinnor med psykisk ohälsa som deltar i en kognitivt inriktad självstärkande intervention, resonerar avseende sina resurser och möjligheter för att skapa förutsättningar till att skaffa ett arbete/studera och komma in i en social gemenskap. Vidare är syftet att kartlägga vilka motiv och förväntningar informanterna hade för att gå utbildningen.

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In all applications of clone detection it is important to have precise and efficient clone identification algorithms. This paper proposes and outlines a new algorithm, KClone for clone detection that incorporates a novel combination of lexical and local dependence analysis to achieve precision, while retaining speed. The paper also reports on the initial results of a case study using an implementation of KClone with which we have been experimenting. The results indi- cate the ability of KClone to find types-1,2, and 3 clones compared to token-based and PDG-based techniques. The paper also reports results of an initial empirical study of the performance of KClone compared to CCFinderX.

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http://digitalcommons.colby.edu/atlasofmaine2008/1013/thumbnail.jpg

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Climate model projections show that climate change will further increase the risk of flooding in many regions of the world. There is a need for climate adaptation, but building new infrastructure or additional retention basins has its limits, especially in densely populated areas where open spaces are limited. Another solution is the more efficient use of the existing infrastructure. This research investigates a method for real-time flood control by means of existing gated weirs and retention basins. The method was tested for the specific study area of the Demer basin in Belgium but is generally applicable. Today, retention basins along the Demer River are controlled by means of adjustable gated weirs based on fixed logic rules. However, because of the high complexity of the system, only suboptimal results are achieved by these rules. By making use of precipitation forecasts and combined hydrological-hydraulic river models, the state of the river network can be predicted. To fasten the calculation speed, a conceptual river model was used. The conceptual model was combined with a Model Predictive Control (MPC) algorithm and a Genetic Algorithm (GA). The MPC algorithm predicts the state of the river network depending on the positions of the adjustable weirs in the basin. The GA generates these positions in a semi-random way. Cost functions, based on water levels, were introduced to evaluate the efficiency of each generation, based on flood damage minimization. In the final phase of this research the influence of the most important MPC and GA parameters was investigated by means of a sensitivity study. The results show that the MPC-GA algorithm manages to reduce the total flood volume during the historical event of September 1998 by 46% in comparison with the current regulation. Based on the MPC-GA results, some recommendations could be formulated to improve the logic rules.

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O segmento de fast food está em expansão e, ao mesmo tempo, sofrendo alterações em seus processos operacionais. Para o estudo do segmento em Campo Grande, MS, é necessária a análise da dimensão nacional do segmento. Essa dissertação investiga a estrutura competitiva atual do segmento de fast food nesta cidade, sob a ótica dos conceitos de Michael E. Porter (1980), com o complemento da identificação dos recursos e competências necessários para uma operação de sucesso no segmento. Além disso, são descritos os possíveis desdobramentos na evolução do setor, na visão de especialistas do segmento.

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Como fazer para avaliar o desenvolvimento no faturamento de uma empresa ou segmento de negócio quando não se dispõem de informações sobre o setor em que a empresa se insere. Através deste trabalho aprofundou-se o conhecimento do segmento de mercado de alimentação fora do domicílio, inclusive com a aplicação de teoria micro-econômica

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Industrial companies in developing countries are facing rapid growths, and this requires having in place the best organizational processes to cope with the market demand. Sales forecasting, as a tool aligned with the general strategy of the company, needs to be as much accurate as possible, in order to achieve the sales targets by making available the right information for purchasing, planning and control of production areas, and finally attending in time and form the demand generated. The present dissertation uses a single case study from the subsidiary of an international explosives company based in Brazil, Maxam, experiencing high growth in sales, and therefore facing the challenge to adequate its structure and processes properly for the rapid growth expected. Diverse sales forecast techniques have been analyzed to compare the actual monthly sales forecast, based on the sales force representatives’ market knowledge, with forecasts based on the analysis of historical sales data. The dissertation findings show how the combination of both qualitative and quantitative forecasts, by the creation of a combined forecast that considers both client´s demand knowledge from the sales workforce with time series analysis, leads to the improvement on the accuracy of the company´s sales forecast.

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Contando todo o vaivém de documentos, a análise pelo governo de novos terminais de uso privado tem demorado 988 dias, em média. Um trabalho encomendado por Barbalho à diretoria de análise de políticas públicas da Fundação Getulio Vargas (FGV-RJ) demonstra que esse prazo pode ser encurtado para apenas 65 dias.