1000 resultados para Sistemas de recomendação (filtragem da informação)
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This work demonstrates the importance of using tools used in geographic information systems (GIS) and spatial data analysis (SDA) for the study of infectious diseases. Analysis methods were used to describe more fully the spatial distribution of a particular disease by incorporating the geographical element in the analysis. In Chapter 1, we report the historical evolution of these techniques in the field of human health and use Hansen s disease (leprosy) in Rio Grande do Norte as an example. In Chapter 2, we introduced a few basic theoretical concepts on the methodology and classified the types of spatial data commonly treated. Chapters 3 and 4 defined and demonstrated the use of the two most important techniques for analysis of health data, which are data point processes and data area. We modelled the case distribution of Hansen s disease in the city of Mossoró - RN. In the analysis, we used R scripts and made available routines and analitical procedures developed by the author. This approach can be easily used by researchers in several areas. As practical results, major risk areas in Mossoró leprosy were detected, and its association with the socioeconomic profile of the population at risk was found. Moreover, it is clearly shown that his approach could be of great help to be used continuously in data analysis and processing, allowing the development of new strategies to work might increase the use of such techniques in data analysis in health care
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This research aims at to contribute to show the consolidation of the area of Information Systems (IS) as area of knowledge in Production Engineering. For this, it according to presents a scenery of the publication in IS in the field of the Production Engineering in Brazil amount of articles, the authorship profile, the methodologies, the citations, the research thematic and the continuity of the research thematic. The base for this study was the works published in the National Meeting of Production Engineering - ENEGEP of years 2000, 2001, 2002, 2003 and 2004, inside of the area of Information Systems. Classified as bibliographical research, of applied nature, quantitative boarding, of the point of view of the objectives description-exploration was called and for the collection of data its comment was systematic with bibliographical survey. As field research, the method of collection of data if constituted of the elaboration of an analysis protocol and, to arrive itself at the final diagnosis, it operation the data through the statistical method, with the accomplishment of descriptive analyses. It approached concepts of IS and the seek areas and, it studied research correlate in Production Engineering, in Information Systems, in Information Science and other areas of the knowledge. How much to the results one concluded that the national and international contents are compatible and that the area of IS is in constant evolution. For the continuity of research lines it was observed that the majority of the authors was faithful to the area of Systems of Information. Amongst other found results, some institutions must try to increase its volume of publications and research, while others must look for to keep its reached mark already in the last years
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This work considers the development of a filtering system composed of an intelligent algorithm, that separates information and noise coming from sensors interconnected by Foundation Fieldbus (FF) network. The algorithm implementation will be made through FF standard function blocks, with on-line training through OPC (OLE for Process Control), and embedded technology in a DSP (Digital Signal Processor) that interacts with the fieldbus devices. The technique ICA (Independent Component Analysis), that explores the possibility of separating mixed signals based on the fact that they are statistically independent, was chosen to this Blind Source Separation (BSS) process. The algorithm and its implementations will be Presented, as well as the results
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In this thesis, we study the application of spectral representations to the solution of problems in seismic exploration, the synthesis of fractal surfaces and the identification of correlations between one-dimensional signals. We apply a new approach, called Wavelet Coherency, to the study of stratigraphic correlation in well log signals, as an attempt to identify layers from the same geological formation, showing that the representation in wavelet space, with introduction of scale domain, can facilitate the process of comparing patterns in geophysical signals. We have introduced a new model for the generation of anisotropic fractional brownian surfaces based on curvelet transform, a new multiscale tool which can be seen as a generalization of the wavelet transform to include the direction component in multidimensional spaces. We have tested our model with a modified version of the Directional Average Method (DAM) to evaluate the anisotropy of fractional brownian surfaces. We also used the directional behavior of the curvelets to attack an important problem in seismic exploration: the atenuation of the ground roll, present in seismograms as a result of surface Rayleigh waves. The techniques employed are effective, leading to sparse representation of the signals, and, consequently, to good resolutions
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Pós-graduação em Ciência da Computação - IBILCE
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Utilizando a teoria matemática da informação, este artigo analisa quatro sistemas agroindustriais de produção de bioenergia: a indústria de álcool de cana-de-açúcar do Brasil, a indústria de álcool de milho e a indústria de biodiesel dos Estados Unidos, além da indústria de farinha de mandioca da Amazônia. Com base em um importante conjunto de informações empíricas, são feitas avaliações de eficiência energética para diferentes níveis de organização dos sistemas.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Avaliar a espacialização de informações na gestão de Sistema de Abastecimento de Água (SAA). Para isso, foram definidos e adotados os dados da pesquisa (Fase 1), sendo dividido em dados de perdas reais, comerciais e Despesas de exploração. Na Fase 2, a base cartográfica da área de estudo e os dados adotados foram armazenados e organizados em Sistema de Informação Geográfica (SIG), utilizando o software ArcGis 9.3, onde foi construído o modelo de dados para a pesquisa, e definida a topologia a ser utilizada para identificação dos dados espacializados, a construção do banco de dados georreferenciado e a criação dos layers. Na fase 3 foi realizado o cálculo do balanço hídrico nas principais unidades dos SAAs estudados sendo determinadas as perdas na adução de água bruta, no tratamento, na reservação, e na distribuição. Na fase 4 foram calculados indicadores para avaliar o desempenho dos SAAs, como: índice de cobertura, índice total de perda real, índice de perda na arrecadação, índice de perda de faturamento, índice de consumo de energia em SAA, índice de despesas com energia elétrica, entre outros. Na fase 5 foi proposta a espacialização e apresentação em SIG dos resultados obtidos nas fases anteriores. Com isso, considerando os dados adotados, foi possível identificar os valores das perdas reais e dos indicadores de desempenho em cada setor do SAA estudado, sendo, por exemplo, o setor 9, o que apresentou maior índice de perda total, chegando a 59,10%, seguido dos setores 4, 8 e 5. A perda mais significante para o sistema foi a perda na distribuição, com o setor 9 apresentando perda de 57%; a perda no tratamento foi de 3,4%, no setor 3; e os setores com maior índice de perda na adução, foram os setores 6 e 8, com 3,5%. Os percentuais de água não faturada, foram maiores nos setores 1 e 5. Os setores 1, 3, 4 e 6 são os que apresentaram maior consumo de energia elétrica por volume de água produzido. Portanto, a espacialização dos dados em SIG facilitou a visualização e análise dos dados adotados na pesquisa.
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O objetivo deste trabalho foi identificar e mapear áreas suscetíveis a movimentos de massa, por meio das geotecnologias, no município de Várzea Paulista (SP). Para o propósito, foram utilizados os mapas de declividade, geológico, geomorfológico e de uso e ocupação da terra, que foram sobrepostos por meio da Análise Multicritério no SIG ArcGIS. Cada tema recebeu seu peso de influência para deflagração de tais processos e como resultado final foi obtido o mapa de suscetibilidade a movimentos de massa do município em questão. Paralelamente foi elaborado o estudo da orientação de vertentes, para determinação daquelas que apresentam maiores riscos em comparação com os dados coletados em campo. Constatou-se que existem muitas áreas ocupadas dentro do município que carecem de monitoramento do Poder Público, principalmente nos meses chuvosos, pois se encontram em locais frágeis do ponto de vista geológico-geomorfológico.
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The purpose of this article is to identify the contributions of Information Systems (IS) for environmental management practices, as well as the opportunities and challenges in this relation. Thus, we performed two case studies with Brazilian enterprises certified ISO 14001, by conducting interviews, document analysis and direct observation. As results, we present the identification of the main contributions of information systems for environmental management practices in the studied cases, the verification that a more advanced stage regarding IS is a factor that implies a more effective contribution, besides finding challenges and opportunities in this relation. The main contribution of this research consists of the presentation of a framework that identifies the support of information systems for environmental practices.
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The present work resulted from a study about coolant filtration systems in industries with metalworking process in large scale. The filtration and element filter world markets move billions of Reais per year and have a promissory future considering that with the global requirements of sustainable economic development, many companies invest in new filtering technology. Either known as coolant or cutting fluid, it is used to lubricate e cool parts during machining and is necessary due to the high volume demanded in the several machining operations and to the high cost of the product. Therefore, there is the need for recycling the product after its use. The work shows the technology and fundamentals of filtration as well as different filtering elements, filtration systems and scale contamination used in the industry. Also, there is a differentiation between filtration of the surface type (cake) and depth filtration and shows the basic theory of filtration by mathematic models in different operational conditions. Ultimately, project criteria for a coolant filtration system selection is shown followed by technical-operational details of a real vacuum filtration system and a case study aiming the operational cost reduction of the system
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Governament organizations has as challenge for their governance the requirement ro improve evaluation system that measure the acting of their mediations and profefer for society informations about achievements. The text analyze the challenges and advances of evaluation tools for produce guidelines that could be inserted at context of decision-making from public agents. Thereunto informations must be reliable and real-time, creating vectors of haste for modernization of informational capacity of State as a whole.
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The aim of this work is to advance a new approach for estimating demographic density, through combining a Geographic Information System with GMDH Neural Networks. The model that is suggested parts the analyzed space into a rectangular grid formed by multiple cells measuring 0.01 km2 each. The forecasts are elaborated based on the demographic density in each cell and in its neighboring cells at a given time. Despite the limited availability of data during the modeling phase, the utilization of this method for studying a Brazilian medium-sized city presented promising results.