988 resultados para material selection


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Resource constraints are becoming a problem as many of the wireless mobile devices have increased generality. Our work tries to address this growing demand on resources and performance, by proposing the dynamic selection of neighbor nodes for cooperative service execution. This selection is in uenced by user's quality of service requirements expressed in his request, tailoring provided service to user's speci c needs. In this paper we improve our proposal's formulation algorithm with the ability to trade o time for the quality of the solution. At any given time, a complete solution for service execution exists, and the quality of that solution is expected to improve overtime.

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OBJETIVO: Analisar os efeitos da exposição de partículas finas de queimadas sobre as internações por doenças respiratórias em crianças e idosos. MÉTODOS: Estudo ecológico de série temporal em Cuiabá, estado de Mato Grosso, região da Amazônia brasileira, durante 2005. Níveis diários de material particulado fino PM2.5 foram estimados e disponibilizados pelo Instituto Nacional de Pesquisas Espaciais. Variáveis relacionadas a temperatura, umidade relativa e ajustes por tendência temporal, sazonalidade e efeitos de calendário foram incluídos no modelo. Utilizou-se a Regressão de Poisson por modelos aditivos generalizados. RESULTADOS: Crescimento de 10 mg/m3 nos níveis de exposição ao PM2.5 foi associado a aumentos de 9,1%, 9,2% e 12,1% das internações hospitalares de crianças, relacionados às médias móveis de 1, 2 e 5 dias, respectivamente. O nível de exposição ao material particulado foi associado a aumentos de 11,4%, 21,6% e 22,0% em crianças, referentes às médias móveis de 1, 5 e 6 dias, respectivamente, para a estação seca. Não foram observadas associações significativas para os idosos. CONCLUSÕES: Foi evidenciada a influência de PM2.5 sobre a ocorrência de internações por doenças respiratórias em crianças < 5 anos, na região estudada.

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O objetivo desse estudo foi estimar a associação entre exposição a material particulado com menos de 2,5 micra de diâmetro aerodinâmico e internações por doenças respiratórias em crianças. Foi realizado estudo ecológico de séries temporais com indicadores diários de internação por doenças respiratórias, em crianças de zero a dez anos de idade, residentes em Piracicaba, SP, entre 1º de agosto de 2011 e 31 de julho de 2012. Utilizou-se modelo aditivo generalizado da regressão de Poisson. Os riscos relativos foram RR = 1,008; IC95% 1,001;1,016 para o lag 1 e RR = 1,009; IC95% 1,001;1,017 para o lag 3. O incremento de 10 μg/m 3 de material particulado com menos de 2,5 micra de diâmetro implicou aumento no risco relativo entre 7,9 e 8,6 pontos percentuais. Concluiu-se que a exposição ao material particulado com menos de 2,5 micra de diâmetro aerodinâmico esteve associada às internações por doenças respiratórias em crianças.

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O Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil) é um estudo de coorte multicêntrico com o objetivo de identificar os fatores de risco associados ao diabetes tipo 2 e à doença cardiovascular na população brasileira. O artigo descreve as estratégias de coleta, processamento, transporte e de controle de qualidade dos exames de sangue e urina no ELSA. O estudo optou pela centralização dos exames em um único laboratório. O processamento das amostras foi realizado nos laboratórios locais, reduzindo o peso do material a ser transportado e diminuindo os custos do transporte para o laboratório central no Hospital da Universidade de São Paulo. O estudo incluiu exames para avaliação de diabetes, resistência à insulina, dislipidemias, alterações eletrolíticas, hormônios tireoidianos, ácido úrico, alterações de enzimas hepáticas, inflamação e hemograma completo. Além desses exames, foram estocados DNA de leucócitos, amostras de urina, plasma e soro. O laboratório central realizou aproximadamente 375.000 exames.

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Dissertação para obtenção do grau de Mestre em Engenharia Civil

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O objectivo principal deste trabalho relaciona-se com a compreensão dos mecanismos de formação de H2S e HCl durante a co-gasificação de C.D.R com carvão. A presença de material inorgânico nas cinzas dos combustíveis utilizados poderá ter alguma influência na formação e subsequentes reacções de H2S e HCl, tornando-se importante compreender qual a extensão da influência destes materiais na formação destas espécies, encaradas como contaminantes do gás produzido. A utilização de misturas de C.D.R. com carvão em gasificação poderá contribuir para a redução das quantidades de resíduos depositadas em aterro. Sendo a gasificação um processo menos poluente do que a incineração, a gasificação destes materiais poderá traduzir-se num menor impacto ambiental. Os C.D.R. são materiais heterogéneos e portanto as quantidades de S, Cl e material inorgânico poderão variar tornando relevante o estudo de potenciais sinergias entre os C.D.R. e o carvão com o objectivo de 1) minimizar a emissão de poluentes gasosos, 2) minimizar a quantidade de cinza produzida e 3) aproveitar o material inorgânico, que pode desempenhar actividade catalítica conduzindo à redução da formação de H2S e HCl. Com este estudo foi determinada uma aparente relação linear entre os teores de enxofre nos combustíveis e a formação de H2S, sendo que no entanto a forma sob a qual o enxofre se encontra nos combustíveis poderá desempenhar um importante papel na conversão do enxofre em H2S. No caso do HCl, a referida relação não pareceu ser tão clara. Foi igualmente determinado que maiores temperaturas de operação promovem a formação de H2S, ao mesmo tempo que reduzem a formação de HCl, e que enquanto o aumento da quantidade de oxigénio poderá conduzir à redução da formação de H2S, não terá impacto significativo na formação de HCl. No que diz respeito aos metais foi verificado que Ca, Fe e Zn terão um papel importante na redução da formação de H2S e HCl, enquanto que K e Na terão apenas influência na formação de HCl e o Al e a Si, não afectaram nem a formação de H2S nem a de HCl.

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Unstabilized rammed earth is a recyclable, economical, and eco-friendly building material, used in the past and still applied today. Traditionally, its use was based on a long empirical knowledge of the local materials. Because this knowledge was mostly lost or is no longer sufficient, in many countries normative documents have been produced to allow the assessment of rammed earth soils. With the aim of contributing for a refining of these normative requirements, this article presents a research work that included: (i) collection of Unstabilized rammed earth samples from six constructions in Portugal; (ii) a literature survey of normative and complementary documents to identify the most mentioned key-properties, the test procedures and the corresponding threshold limits; and (iii) a discussion of the test procedures and of the thresholds limits in the light of the experimental results. The analyzed properties are the particle size distribution, maximum particle size, plasticity, compaction, linear shrinkage, organic content, and salt content. The work highlights the advantages of taking into account the characteristics of existing constructions as a basis for the establishment and further refining of consistent threshold values. In particular, it shows that it is essential to adjust the requirements to the specificities of local materials.

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Electrocardiography (ECG) biometrics is emerging as a viable biometric trait. Recent developments at the sensor level have shown the feasibility of performing signal acquisition at the fingers and hand palms, using one-lead sensor technology and dry electrodes. These new locations lead to ECG signals with lower signal to noise ratio and more prone to noise artifacts; the heart rate variability is another of the major challenges of this biometric trait. In this paper we propose a novel approach to ECG biometrics, with the purpose of reducing the computational complexity and increasing the robustness of the recognition process enabling the fusion of information across sessions. Our approach is based on clustering, grouping individual heartbeats based on their morphology. We study several methods to perform automatic template selection and account for variations observed in a person's biometric data. This approach allows the identification of different template groupings, taking into account the heart rate variability, and the removal of outliers due to noise artifacts. Experimental evaluation on real world data demonstrates the advantages of our approach.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Sanitária

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The problem of selecting suppliers/partners is a crucial and important part in the process of decision making for companies that intend to perform competitively in their area of activity. The selection of supplier/partner is a time and resource-consuming task that involves data collection and a careful analysis of the factors that can positively or negatively influence the choice. Nevertheless it is a critical process that affects significantly the operational performance of each company. In this work, there were identified five broad selection criteria: Quality, Financial, Synergies, Cost, and Production System. Within these criteria, it was also included five sub-criteria. After the identification criteria, a survey was elaborated and companies were contacted in order to understand which factors have more weight in their decisions to choose the partners. Interpreted the results and processed the data, it was adopted a model of linear weighting to reflect the importance of each factor. The model has a hierarchical structure and can be applied with the Analytic Hierarchy Process (AHP) method or Value Analysis. The goal of the paper it's to supply a selection reference model that can represent an orientation/pattern for a decision making on the suppliers/partners selection process

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In research on Silent Speech Interfaces (SSI), different sources of information (modalities) have been combined, aiming at obtaining better performance than the individual modalities. However, when combining these modalities, the dimensionality of the feature space rapidly increases, yielding the well-known "curse of dimensionality". As a consequence, in order to extract useful information from this data, one has to resort to feature selection (FS) techniques to lower the dimensionality of the learning space. In this paper, we assess the impact of FS techniques for silent speech data, in a dataset with 4 non-invasive and promising modalities, namely: video, depth, ultrasonic Doppler sensing, and surface electromyography. We consider two supervised (mutual information and Fisher's ratio) and two unsupervised (meanmedian and arithmetic mean geometric mean) FS filters. The evaluation was made by assessing the classification accuracy (word recognition error) of three well-known classifiers (knearest neighbors, support vector machines, and dynamic time warping). The key results of this study show that both unsupervised and supervised FS techniques improve on the classification accuracy on both individual and combined modalities. For instance, on the video component, we attain relative performance gains of 36.2% in error rates. FS is also useful as pre-processing for feature fusion. Copyright © 2014 ISCA.

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The process of resources systems selection takes an important part in Distributed/Agile/Virtual Enterprises (D/A/V Es) integration. However, the resources systems selection is still a difficult matter to solve in a D/A/VE, as it is pointed out in this paper. Globally, we can say that the selection problem has been equated from different aspects, originating different kinds of models/algorithms to solve it. In order to assist the development of a web prototype tool (broker tool), intelligent and flexible, that integrates all the selection model activities and tools, and with the capacity to adequate to each D/A/V E project or instance (this is the major goal of our final project), we intend in this paper to show: a formulation of a kind of resources selection problem and the limitations of the algorithms proposed to solve it. We formulate a particular case of the problem as an integer programming, which is solved using simplex and branch and bound algorithms, and identify their performance limitations (in terms of processing time) based on simulation results. These limitations depend on the number of processing tasks and on the number of pre-selected resources per processing tasks, defining the domain of applicability of the algorithms for the problem studied. The limitations detected open the necessity of the application of other kind of algorithms (approximate solution algorithms) outside the domain of applicability founded for the algorithms simulated. However, for a broker tool it is very important the knowledge of algorithms limitations, in order to, based on problem features, develop and select the most suitable algorithm that guarantees a good performance.

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Hole drilling operations are common in fibre reinforced plastics - FRP’s - to facilitate fastener assembly to other parts in more complex structures. As these materials are non-homogeneous, drilling causes some damages, like delamination, for example. Delamination can be reduced by a careful selection of drilling parameters, drill material and drill bit geometry. In this work two types of laminates are drilled using different machining parameters and comparing drill geometries. Results show the importance of a cautious selection of these variables when composites’ drilling is involved.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Conservação e Restauro

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Micro-abrasion wear tests with ball-cratering configuration are widely used. Sources of variability are already studied by different authors and conditions for testing are parameterized by BS EN 1071-6: 2007 standard which refers silicon carbide as abrasive. However, the use of other abrasives is possible and allowed. In this work, ball-cratering wear tests were performed using four different abrasive particles of three dissimilar materials: diamond, alumina and silicon carbide. Tests were carried out under the same conditions on a steel plate provided with TiB2 hard coating. For each abrasive, five different test durations were used allowing understanding the initial wear phenomena. Composition and shape of abrasive particles were investigated by SEM and EDS. Scar areas were observed by optical and electronic microscopy in order to understand the wear effects caused by each of them. Scar geometry and grooves were analyzed and compared. Wear coefficient was calculated for each situation. It was observed that diamond particles produce well-defined and circular wear scars. Different silicon carbide particles presented dissimilar results as consequence of distinct particle shape and size distribution.