875 resultados para big data storage


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Não é novidade que o presidente dos Estados Unidos, Barack Obama, é um grande entusiasta da tecnologia. Primeiro a contratar um especialista de big data para a Casa Branca, Obama avançou muito na comunicação digital institucional do governo e, na última segunda-feira (18) inovou outra vez ao abrir uma conta pessoal no Twitter (@POTUS, abreviação de "President of the United States"). Popular, o chefe de Estado americano entrou para o livro dos recordes como o mais rápido a obter 1 milhão de seguidores - foram apenas 5 horas.

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Programas de saúde e bem-estar têm sido adotados por empresas como forma de melhorar a saúde de empregados, e muitos estudos descrevem retornos econômicos positivos sobre os investimentos envolvidos. Entretanto, estudos mais recentes com metodologia melhor têm demonstrado retornos menores. O objetivo deste estudo foi investigar se características de programas de saúde e bem-estar agem como preditores de custos de internação hospitalar (em Reais correntes) e da proporção de funcionários que têm licença médica, entre Abril de 2014 e Maio de 2015, em uma amostra não-aleatória de empresas no Brasil, através de parceria com uma empresa gestora de ‘big data’ para saúde. Um questionário sobre características de programas de saúde no ambiente de trabalho foi respondida por seis grandes empresas brasileiras. Dados retirados destes seis questionários (presença e idade de programa de saúde, suas características – inclusão de atividades de screening, educação sobre saúde, ligação com outros programas da empresa, integração do programa à estrutura da empresa, e ambientes de trabalho voltado para a saúde – e a adoção de incentivos financeiros para aderência de funcionários ao programa), bem como dados individuais de idade, gênero e categoria de plano de saúde de cada empregado , foram usados para construir um banco de dados com mais de 76.000 indivíduos. Através de um modelo de regressão múltipla e seleção ‘stepwise’ de variáveis, a idade do empregado foi positivamente associada e a idade do programa de saúde e a categoria ‘premium’ de plano de saúde do funcionário foram negativamente associadas aos custos de internação hospitalar (como esperado). Inesperadamente, a inclusão de programas de screening e iniciativas de educação de saúde nos programas de saúde e bem-estar nas empresas foram identificados como preditores positivos significativos para custos de admissão hospitalar. Para evitar a inclusão errônea de licenças-maternidade, apenas os dados de licença médica de pacientes do sexo masculino foram analisados (dados disponíveis apenas para duas entre as companhias incluídas, com um total de 18.957 pacientes do sexo masculino). Analisando estes dados através de um teste Z para comparação de proporções, a empresa com programa de saúde que inclui atividades voltadas a cessação de hábitos ruins (como tabagismo e etilismo), controle de diabetes e hipertensão, e que adota incentivos financeiros para a aderência de funcionários ao programa tem menor proporção de empregados com licençca médica no período analisado, quando comparada com a outra empresa que não tem estas características (também conforme esperado). Entretanto, a companhia com menor proporção de funcionários com licença médica também foi aquela que adota programa de screening entre as atividades de seu programa de saúde. Potenciais fontes de ameaça à validade interna e externa destes resultados são discutidas, bem como possíveis explicações para a associação entre programas de screening e educação médica a piores indicadores de saúde nesta amostra de companhias são discutidas. Novos estudos com melhor desenho, com amostras maiores e randômicas são necessários para validar estes resultados e possivelmente melhorar a validade interna e externa destes resultados.

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Nowadays several electronics devices support digital videos. Some examples of these devices are cellphones, digital cameras, video cameras and digital televisions. However, raw videos present a huge amount of data, millions of bits, for their representation as the way they were captured. To store them in its primary form it would be necessary a huge amount of disk space and a huge bandwidth to allow the transmission of these data. The video compression becomes essential to make possible information storage and transmission. Motion Estimation is a technique used in the video coder that explores the temporal redundancy present in video sequences to reduce the amount of data necessary to represent the information. This work presents a hardware architecture of a motion estimation module for high resolution videos according to H.264/AVC standard. The H.264/AVC is the most advanced video coder standard, with several new features which allow it to achieve high compression rates. The architecture presented in this work was developed to provide a high data reuse. The data reuse schema adopted reduces the bandwidth required to execute motion estimation. The motion estimation is the task responsible for the largest share of the gains obtained with the H.264/AVC standard so this module is essential for final video coder performance. This work is included in Rede H.264 project which aims to develop Brazilian technology for Brazilian System of Digital Television

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Antimony based glasses have been investigated for the first time regarding the possibility of holographic data storage using visible lasers sources. Changes in both refractive index and the absorption coefficient were measured using a holographic setup. The modulation of the optical constants is reversible by heat treatment. Bragg gratings were written under visible light of an Ar laser and erased thermally.

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In this work, we present a new photochromic tungstate based glass which have both absorption coefficient and refractive index modified under laser exposure. The photosensitive effect is superficial under ultraviolet (UV) irradiation but occurs in the entire volume of the glass under visible irradiation. The effect can be obtained in any specific point inside the volume using an infrared femtosecond laser. In addition, the photosensitive phenomenon can be erased by specific heat treatment. This glass can be useful to substitute actual data storage supports and is a promising material for 3-dimensional (3D) and holographic optical storage.

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In some applications with case-based system, the attributes available for indexing are better described as linguistic variables instead of receiving numerical treatment. In these applications, the concept of fuzzy hypercube can be applied to give a geometrical interpretation of similarities among cases. This paper presents an approach that uses geometrical properties of fuzzy hypercube space to make indexing and retrieval processes of cases.

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Geographic Information Systems (GIS) integrate the technologies related to Geoprocessing, with the ability to manipulate georeferenced information through data storage, management and analysis. One of the GIS applications is the generation of Digital Elevation Models (DEM) as a result of rebuilding the elevation of a region using computation tools and artificial representation. This paper presents the DEM created from a point base in two computational frameworks with different structures (vector and raster), comparing the contour lines generated from these models with the original contour lines from analog cartographic base. It was observed that one of the generated models presented some discrepancies related to real space for both GIS structures. However, using constrained Delaunay's triangulation in raster GIS a digital elevation model was generated with contour lines quite close to the original ones, with satisfactory results. A 3-D terrain representation was also created offering a very useful tool for analysis.

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During the petroleum well drilling operation many mechanical and hydraulic parameters are monitored by an instrumentation system installed in the rig called a mud-logging system. These sensors, distributed in the rig, monitor different operation parameters such as weight on the hook and drillstring rotation. These measurements are known as mud-logging records and allow the online following of all the drilling process with well monitoring purposes. However, in most of the cases, these data are stored without taking advantage of all their potential. On the other hand, to make use of the mud-logging data, an analysis and interpretationt is required. That is not an easy task because of the large volume of information involved. This paper presents a Support Vector Machine (SVM) used to automatically classify the drilling operation stages through the analysis of some mud-logging parameters. In order to validate the results of SVM technique, it was compared to a classification elaborated by a Petroleum Engineering expert. © 2006 IEEE.

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The present study aimed to show the spatial distribution of the Rochas watershed (Avaré-SP, Brazil) soil use capacity using the Idrisi geographical information system in order to contribute to a better territorial organization and the planning of the appropriate soil occupation. The obtained results using this methodology showed that most of the Rocha watershed areas are from the following groups: dystrophic yellow-red latosol (36.64%), eutroferric and distroferric red latosol (30.30%) with sandy texture. There was a predominance of areas with slope classes of 0-12%, plain to wavy relief (61.37% of the watershed area) showing that these areas are appropriate for annual culture plantations with wide use of machinery. Most of these areas were classified as class IV (73.79%) as to use capacity. In the studied area the following subclasses of land use capacity were found: IIe, s; IIIe; IVe; IVs; IVe,s; VIe and VIIe. Capacity subclasses IVe; IVe,s; IVs and Vie were the most significant because they are areas that can be used for agriculture but subject to severe soil impoverishment if there are no special care mainly for annual cultures. The Idrisi geographical information system was efficient to determine soil use capacity of the Rocha's watershed showing that the use of geoprocessing tools makes data analysis easier and faster, allowing digital data storage for future analysis uses mainly for territorial planning and environmental studies.

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Dielectric spectroscopy was used in this study to examine polycrystalline vanadium and tungstendoped BaZr 0.1Ti 0.90O 3 (BZT10:2V and BZT10:2W) ceramics obtained by the mixed oxide method. According to X-ray diffraction analyses, addition of vanadium and tungsten lead to ceramics free of secondary phases. SEM analyses reveal that both dopants result in slower oxygen ion motion and consequently lower grain growth rate. Temperature dependence dielectric study showed normal ferroelectric to paraelectric transition well above the room temperature for the BZT10 and BZT10:2V ceramics. However, BZT10:2W ceramic showed a relaxor-like behavior near phase transition characterized by the empirical parameter γ. Piezoelectric force microscopy images reveals that the piezoelectric coefficient is strongly influenced by type of donor dopant suggesting promising applications for dynamic random access memories and data-storage media. Copyright © 2010 American Scientific Publishers All rights reserved.

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Intestinal parasitosis constitutes a serious health problem in most tropical countries. The diagnosis of enteroparasites in laboratory routine relies on the examination of stool samples using optical microscopy and the error rates usually range from moderate to high. Approaches based on automatic image analysis have been proposed, but the methods are usually specific for some species, some of them are computationally expensive, and image acquisition and focus are manual. We present a solution to automate the diagnosis of the 15 most common species of enteroparasites in Brazil, using a sensitive parasitological technique, a motorized microscope with digital camera for automatic image acquisition and focus, and fast image analysis methods. The results indicate that our solution is effective and suitable for laboratory routine, in which the exam must be concluded in a few minutes. © 2013 IEEE.

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Feature selection aims to find the most important information to save computational efforts and data storage. We formulated this task as a combinatorial optimization problem since the exponential growth of possible solutions makes an exhaustive search infeasible. In this work, we propose a new nature-inspired feature selection technique based on bats behavior, namely, binary bat algorithm The wrapper approach combines the power of exploration of the bats together with the speed of the optimum-path forest classifier to find a better data representation. Experiments in public datasets have shown that the proposed technique can indeed improve the effectiveness of the optimum-path forest and outperform some well-known swarm-based techniques. © 2013 Copyright © 2013 Elsevier Inc. All rights reserved.