913 resultados para Monitoring, SLA, JBoss, Middleware, J2EE, Java, Service Level Agreements
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Acid rain is a major assault on the environment, a consequence of burning fossil fuels and industrial pollutants the basis of sulfur dioxide released into the atmosphere. The objective of this research was to monitor and analyze changes in water quality of rain in the city of Natal, seeking to investigate the influence of quality on a local, regional and global, in addition to possible effects of this quality in the local landscape. Data collection was performed from December 2005 to December 2007. We used techniques of nefanálise in identifying systems sinóticos, field research in the search for possible effects of acid rain on the landscape, and collect and analyze data of precipitation and its degree of acidity. Used descriptive statistics (standard deviation and coefficient of variation) used to monitor the behavior of chemical precipitation, and monitoring of errors in measurements of pH, level of confidence, Normalized distribution of Gauss, confidence intervals, analysis of variance ANOVA were also used. Main results presented as a variation of pH between 5,021 and 6,836, with an average standard deviation of 5,958 and 0,402, showing that the average may represent the sample. Thus, we can infer that, according to the CONAMA Resolution 357 (the index for fresh water acidity should be between 6.0 and 9.0), the precipitation of Natal / RN is slightly acidic. It appears that the intertropical convergence zone figures showed the most acidic among the systems analyzed sinóticos, taking its average value of pH of 5,617, which means an acid value now, with a standard deviation of 0,235 and the coefficient of variation of 4,183% which shows that the average may represent the sample. Already in field research and found several places that suffer strongly the action of acid rain. However, the results are original and need further investigation, including the use of new methodologies
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Neste trabalho, analisam-se algumas causas pelas quais clientes frequentam um supermercado, tais como: preço de produtos, localização do estabelecimento, rapidez de atendimento, qualidade de atendimento, variedade de produtos, estacionamento e outras. Por meio de análise estatística multivariada, foi verificada a relevância de cada causa em contraste com as outras, ou seja, a importância relativa de cada uma. Assim, pôde-se observar que a rapidez de atendimento desempenha um papel importante em relação às demais para o nível de serviço dos clientes. Utilizando-se análise de agrupamentos hierárquicos de variáveis e análise de correspondência, associaram-se causas em grupos e relacionaram-se causas a alguns fatores, como, por exemplo, escolaridade dos clientes, sendo esta uma observação interessante por existir, no Brasil, uma relação significativa entre renda e escolaridade. A coleta de dados foi realizada em um supermercado no interior de São Paulo e, desta forma, os resultados baseiam-se em um estudo de caso, tendo limitações inferenciais.
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Human beings perceive images through their properties, like colour, shape, size, and texture. Texture is a fertile source of information about the physical environment. Images of low density crowds tend to present coarse textures, while images of dense crowds tend to present fine textures. This paper describes a new technique for automatic estimation of crowd density, which is a part of the problem of automatic crowd monitoring, using texture information based on grey-level transition probabilities on digitised images. Crowd density feature vectors are extracted from such images and used by a self organising neural network which is responsible for the crowd density estimation. Results obtained respectively to the estimation of the number of people in a specific area of Liverpool Street Railway Station in London (UK) are presented.
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The estimation of the number of people in an area under surveillance is very important for the problem of crowd monitoring. When an area reaches an occupation level greater than the projected one, people's safety can be in danger. This paper describes a new technique for crowd density estimation based on Minkowski fractal dimension. Fractal dimension has been widely used to characterize data texture in a large number of physical and biological sciences. The results of our experiments show that fractal dimension can also be used to characterize levels of people congestion in images of crowds. The proposed technique is compared with a statistical and a spectral technique, in a test study of nearly 300 images of a specific area of the Liverpool Street Railway Station, London, UK. Results obtained in this test study are presented.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Bases Gerais da Cirurgia - FMB
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No presente trabalho, são discutidas questões relacionadas à verificação e à análise do nível de serviço logístico, prestado pelo Estado, na execução de perícias criminais de engenharia civil. Foram considerados fatores como equipamentos e meios de transporte utilizados, qualificação dos profissionais envolvidos, padronização de procedimentos adotados e a emissão de laudos periciais. O objetivo é a obtenção de diretrizes na atividade estudada, através da identificação das possíveis oportunidades de melhoria existentes na gestão desta área da Criminalística, considerando-se os componentes de desempenho logísticos relacionados aos fatores chaves: estoque, transporte, instalações e informação. A estratégia de pesquisa utilizada foi o estudo de caso, com o emprego de relatórios estatísticos e entrevistas semi-estruturadas aos gestores do órgão responsável pela atividade pericial no Pará. Quanto aos resultados obtidos, ao se analisar o conteúdo das entrevistas realizadas, observou-se que as hipóteses de trabalho apresentavam correlação com algumas das diretrizes logísticas elaboradas, tais como o aumento na eficiência do nível de serviço logístico na atividade estudada através da adoção de procedimentos operacionais padronizados.
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Increasingly competitive markets have driven the search for companies in many different ways to win and keep customers. The service level is basically the performance of companies in fulfilling the orders made, or how companies demonstrate to their clients efforts in their behalf. This work aims to solve the difficulties faced by a multinational company present in Brazil, in the distribution of its products in the category Ice Cream in order to improve the service level of their customers. Review the logistics network and concepts related to the distribution system of products is one of several ways to achieve this goal, as well as the use of IT and tools to assist in planning and programming of the physical distribution of products. In this study we used the concept of direct distribution system called Transit Point (TP). The TP provides at the same time, a strategy of rapid response, flexibility, low transportation costs and no inventory. A router - software capable of simulating the actual conditions experienced in the daily distribution - was used to assist in calculations. Results showed reductions of up to 47.5% in transportation costs and better conditions were provided in the distribution of products, positively impacting on service levels and in the maintenance of products quality, with a reduction of 1.6% of the total costs involve
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Pós-graduação em Engenharia Mecânica - FEG
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The study presents the application of an ergonomic method based on graphical mesh, created to analyze the attributes of public open space and that influence on their usability. It was based on DePAN method, created to classify the service level offered by niches present in open relationship spaces. However, this method adopted Geographical Information System (GIS ) to make maps that represent the space attributes. This study proposed an adaptation of this method, which replaces GIS by AutoCAD software to generate maps . The goal is to test the feasibility and efficiency of producing maps in AutoCAD software to represent the service niches level. An relashionship area on a college campus for data collecting in graphical meshes and maps confection. By applying the graphical mesh the attributes of that space were evaluated to help promote people permanence on site. Although the process through AutoCAD seems to be harder by being mechanical it guarantees a satisfactory result for analysis, resembling images generated by GIS. Therefore, it is concluded that it’s possible to represent graphically the riches service level.
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Pós-graduação em Engenharia de Produção - FEG
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Human biomonitoring (HBM) is an ideal tool for evaluating toxicant exposure in health risk assessment. Chemical substances or their metabolites related to environmental pollutants can be detected as biomarkers of exposure using a wide variety of biological fluids. Individual exposure to aromatic hydrocarbon compounds (benzene, toluene, and o-xylene –“BTX”) were analysed with a liquid chromatography coupled to electrospray ionisation-mass spectrometry (μHPLC-ESI-MS/MS) method for the simultaneous quantitative detection of the BTX exposure biomarker SPMA, SBMA and o-MBMA in human urine. Urinary S-phenylmercapturic acid (SPMA) is a biomarker proposed by the American Conference of Governmental Industrial Hygienists (ACGIH) for assessing occupational exposure to benzene (Biological Exposure Index of 25 microg/g creatinine). Urinary S-benzylmercapturic (SBMA) and o-methyl S-benzyl mercapturic acid (o-MBMA) are specific toluene and o-xylene metabolites of glutathione detoxicant pathways, proposed as reliable biomarkers of exposure. To this aim a pre-treatment of the urine with solid phase extraction (SPE) and an evaporation step were necessary to concentrate the mercapturic acids before instrumental analysis. A liquid chromatography separation was carried out with a reversed phase capillary column (Synergi 4u Max-RP) using a binary gradient composed of an acquous solution of formic acid 0.07% v/v and methanol. The mercapturic acids were determinated by negative-ion-mass spectrometry and the data were corrected using isotope-labelled analogs as internal standards. The analytical method follows U.S. Food and Drug Administration guidance and was applied to assess exposure to BTX in a group of 396 traffic wardens. The association between biomarker results and individual factors, such as age, sex and tobacco smoke were also investigated. The present work also included improvements in the methods used by modifying various chromatographic parameters and experimental procedures. A partial validation was conducted to evaluate LOD, precision, accuracy, recovery as well as matrix effects. Higher sensitivity will be possible in future biological monitoring programmes, allowing evaluation of very low level of BTX human exposure. Keywords: Human biomonitoring, aromatic hydrocarbons, biomarker of exposure, HPLC-MS/MS.
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Nel corso di questa tesi analizzeremo che cos'è il cloud computing, illustrando i contratti di service level agreement e le soluzioni presenti nel mercato.