11 resultados para 2D Bar Code


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Global land cover maps play an important role in the understanding of the Earth's ecosystem dynamic. Several global land cover maps have been produced recently namely, Global Land Cover Share (GLC-Share) and GlobeLand30. These datasets are very useful sources of land cover information and potential users and producers are many times interested in comparing these datasets. However these global land cover maps are produced based on different techniques and using different classification schemes making their interoperability in a standardized way a challenge. The Environmental Information and Observation Network (EIONET) Action Group on Land Monitoring in Europe (EAGLE) concept was developed in order to translate the differences in the classification schemes into a standardized format which allows a comparison between class definitions. This is done by elaborating an EAGLE matrix for each classification scheme, where a bar code is assigned to each class definition that compose a certain land cover class. Ahlqvist (2005) developed an overlap metric to cope with semantic uncertainty of geographical concepts, providing this way a measure of how geographical concepts are more related to each other. In this paper, the comparison of global land cover datasets is done by translating each land cover legend into the EAGLE bar coding for the Land Cover Components of the EAGLE matrix. The bar coding values assigned to each class definition are transformed in a fuzzy function that is used to compute the overlap metric proposed by Ahlqvist (2005) and overlap matrices between land cover legends are elaborated. The overlap matrices allow the semantic comparison between the classification schemes of each global land cover map. The proposed methodology is tested on a case study where the overlap metric proposed by Ahlqvist (2005) is computed in the comparison of two global land cover maps for Continental Portugal. The study resulted with the overlap spatial distribution among the two global land cover maps, Globeland30 and GLC-Share. These results shows that Globeland30 product overlap with a degree of 77% with GLC-Share product in Continental Portugal.

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Dissertação apresentada na Faculdade de Ciências e Tecnologias da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática

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Dissertação para obtenção do grau de Mestre em Engenharia Civil - Perfil Estruturas

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RESUMO: Conclusão - Este estudo sugere que mulheres grávidas beneficiam da prática rotineira de 30 min de relaxamento perante a eminência de um acontecimento indutor de stress. O benefício será tanto psicológico como fisiológico e será mais marcado de manhã do que de tarde. As mulheres com maior tendência ansiosa, tipicamente as mais jovens e com menos idade gestacional, serão as que mais beneficiam. Entre os tipos de intervenção experimentados, todos eles não dispendiosos, a audição de música foi globalmente o mais eficaz para o propósito pretendido. A variação do cortisol e a variação da testosterona estão altamente correlacionadas, e este efeito poderá ser explorado em futuras intervenções relaxantes. Programas curtos de relaxamento poderão conduzir a benefícios para o bem-estar psicológico e para a saúde da grávida, com benefícios adicionais no desfecho da gravidez. O rácio digital 2D:4D do recém-nascido apresenta características sexualmente dimórficas, sendo mais baixo em rapazes que em raparigas, confirmando a influência dos androgénios pré-natais, mas há grande sobreposição entre os sexos pelo que, isoladamente, não pode ser utilizado como marcador de risco. No entanto, se associado a outros marcadores biológicos, como o peso ao nascer e a circunferência cerebral, entre outros, poderá ser um parâmetro a valorizar desde cedo, possivelmente no acompanhamento pediátrico. Nas raparigas, o RD da mãe e a testosterona no LA explicam uma proporção significativa do seu 2D:4D. Em ambos os sexos, o rácio 2D:4D aumenta após o nascimento e o dimorfismo sexual observado com base em amostras de crianças com mais de dois anos de idade, é afectado pela testosterona pós-natal, especialmente no que se refere à mão direita.----------ABSTRACT: Conclusions - This study suggests that pregnant women would benefit from the routine practice of 30min relaxation when at the imminence of a stressful event. The benefit would be both psychological and physiological and would be more pronounced in the morning than in the afternoon. Women tending to be more anxious, typically younger and at a lower gestational age, are the ones that benefit the most. Among the interventions investigated, all being non-expensive and easy to implement, listening to relaxing music was globally the most efficient for the benefit intended. The variation of cortisol and the variation of testosterone are significantly correlated, an association that might be used in future relaxation interventions. It is feasible to conceive short relaxation programs aimed at benefiting psychological well-being and health in pregnancy, with additional benefits for pregnancy outcome. The digital ratio 2D:4D is sexually dimorphic, being lower in males than in females, confirming the influence of pre-natal androgens. There is however large overlap between sexes, rendering the 2D:4D a risk marker not to be used in isolation but rather in association with other markers, like for instance the weight at birth and the head circumference, wherein it may be a relevant parameter for pediatric follow-up. In newborn females, a significant amount of variability in 2D:4D is accounted for by their mother’s digital ratio and AF testosterone. In both sexes, the 2D:4D ratio increases following birth and sexual dimorphism,as assessed from samples of subjects with more than 2 years of age, is affected by post-natal testosterone, especially in what concerns the right hand.

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Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica, Especialidade em Engenharia Bioquímica

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Nowadays, several sensors and mechanisms are available to estimate a mobile robot trajectory and location with respect to its surroundings. Usually absolute positioning mechanisms are the most accurate, but they also are the most expensive ones, and require pre installed equipment in the environment. Therefore, a system capable of measuring its motion and location within the environment (relative positioning) has been a research goal since the beginning of autonomous vehicles. With the increasing of the computational performance, computer vision has become faster and, therefore, became possible to incorporate it in a mobile robot. In visual odometry feature based approaches, the model estimation requires absence of feature association outliers for an accurate motion. Outliers rejection is a delicate process considering there is always a trade-off between speed and reliability of the system. This dissertation proposes an indoor 2D position system using Visual Odometry. The mobile robot has a camera pointed to the ceiling, for image analysis. As requirements, the ceiling and the oor (where the robot moves) must be planes. In the literature, RANSAC is a widely used method for outlier rejection. However, it might be slow in critical circumstances. Therefore, it is proposed a new algorithm that accelerates RANSAC, maintaining its reliability. The algorithm, called FMBF, consists on comparing image texture patterns between pictures, preserving the most similar ones. There are several types of comparisons, with different computational cost and reliability. FMBF manages those comparisons in order to optimize the trade-off between speed and reliability.

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Eradication of code smells is often pointed out as a way to improve readability, extensibility and design in existing software. However, code smell detection remains time consuming and error-prone, partly due to the inherent subjectivity of the detection processes presently available. In view of mitigating the subjectivity problem, this dissertation presents a tool that automates a technique for the detection and assessment of code smells in Java source code, developed as an Eclipse plugin. The technique is based upon a Binary Logistic Regression model that uses complexity metrics as independent variables and is calibrated by expert‟s knowledge. An overview of the technique is provided, the tool is described and validated by an example case study.

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Neste trabalho apresenta-se uma metodologia protótipo destinada a efectuar a modelação automática a 2D da morfologia de mineralizações filonianas. Em primeiro lugar procede-se à estimação do número de ocorrências de filões em cada bloco, de uma malha de blocos, em que se subdividiu o volume em estudo. Esta intensidade de ocorrências é quantificada por uma variável que representa o número de filões por metro linear(NFM) intersectados por uma sondagem vertical, e constitui o objectivo de intensidade a atingir. Seguidamente são gerados por simulação, linhas poligonais ou arcos correspondentes ao posicionamento dos filões no perfil. Estes arcos ligam alguns pares de intersecções de filões amostrados nas sondagens e são escolhidos ao acaso segundo regras de orientação e distância. Seguidamente faz-se a avaliação da intensidade local de filões do modelo e, para os locais onde exista défice de filões relativamente ao objectivo, são adicionadas intersecções virtuais, ou seja, que não foram reconhecidas por sondagens. Este procedimento continua até o modelo dos filões se aproximar do objectivo previamente definido. O conjunto dos arcos em cada perfil, associado às espessuras de intersecção observadas nas sondagens, constitui um modelo morfológico dos filões em estrutura vectorial. No final faz-se a avaliação quantitativa do modelo e da incerteza. Os dados do estudo prático que motivaram o desenvolvimento da metodologia foram recolhidos no depósito mineral das Minas da Panasqueira. Os resultados obtidos no estudo mostram que a introdução de uma metodologia automática para a modelação vectorial de filões mineralizados é uma mais-valia, porque permite gerar modelos mais realistas e com melhor controlo geológico e resolução do que as abordagens clássicas de possança e acumulação, constituindo um auxiliar precioso de avaliação de reservas de minério.

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Rupture of aortic aneurysms (AA) is a major cause of death in the Western world. Currently, clinical decision upon surgical intervention is based on the diameter of the aneurysm. However, this method is not fully adequate. Noninvasive assessment of the elastic properties of the arterial wall can be a better predictor for AA growth and rupture risk. The purpose of this study is to estimate mechanical properties of the aortic wall using in vitro inflation testing and 2D ultrasound (US) elastography, and investigate the performance of the proposed methodology for physiological conditions. Two different inflation experiments were performed on twelve porcine aortas: 1) a static experiment for a large pressure range (0 – 140 mmHg); 2) a dynamic experiment closely mimicking the in vivo hemodynamics at physiological pressures (70 – 130 mmHg). 2D raw radiofrequency (RF) US datasets were acquired for one longitudinal and two cross-sectional imaging planes, for both experiments. The RF-data were manually segmented and a 2D vessel wall displacement tracking algorithm was applied to obtain the aortic diameter–time behavior. The shear modulus G was estimated assuming a Neo-Hookean material model. In addition, an incremental study based on the static data was performed to: 1) investigate the changes in G for increasing mean arterial pressure (MAP), for a certain pressure difference (30, 40, 50 and 60 mmHg); 2) compare the results with those from the dynamic experiment, for the same pressure range. The resulting shear modulus G was 94 ± 16 kPa for the static experiment, which is in agreement with literature. A linear dependency on MAP was found for G, yet the effect of the pressure difference was negligible. The dynamic data revealed a G of 250 ± 20 kPa. For the same pressure range, the incremental shear modulus (Ginc) was 240 ± 39 kPa, which is in agreement with the former. In general, for all experiments, no significant differences in the values of G were found between different image planes. This study shows that 2D US elastography of aortas during inflation testing is feasible under controlled and physiological circumstances. In future studies, the in vivo, dynamic experiment should be repeated for a range of MAPs and pathological vessels should be examined. Furthermore, the use of more complex material models needs to be considered to describe the non-linear behavior of the vascular tissue.

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The theme of this dissertation is the finite element method applied to mechanical structures. A new finite element program is developed that, besides executing different types of structural analysis, also allows the calculation of the derivatives of structural performances using the continuum method of design sensitivities analysis, with the purpose of allowing, in combination with the mathematical programming algorithms found in the commercial software MATLAB, to solve structural optimization problems. The program is called EFFECT – Efficient Finite Element Code. The object-oriented programming paradigm and specifically the C ++ programming language are used for program development. The main objective of this dissertation is to design EFFECT so that it can constitute, in this stage of development, the foundation for a program with analysis capacities similar to other open source finite element programs. In this first stage, 6 elements are implemented for linear analysis: 2-dimensional truss (Truss2D), 3-dimensional truss (Truss3D), 2-dimensional beam (Beam2D), 3-dimensional beam (Beam3D), triangular shell element (Shell3Node) and quadrilateral shell element (Shell4Node). The shell elements combine two distinct elements, one for simulating the membrane behavior and the other to simulate the plate bending behavior. The non-linear analysis capability is also developed, combining the corotational formulation with the Newton-Raphson iterative method, but at this stage is only avaiable to solve problems modeled with Beam2D elements subject to large displacements and rotations, called nonlinear geometric problems. The design sensitivity analysis capability is implemented in two elements, Truss2D and Beam2D, where are included the procedures and the analytic expressions for calculating derivatives of displacements, stress and volume performances with respect to 5 different design variables types. Finally, a set of test examples were created to validate the accuracy and consistency of the result obtained from EFFECT, by comparing them with results published in the literature or obtained with the ANSYS commercial finite element code.

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The present case-study concerns about the analysis of the sale of Banif Mais, the sub-holding of Banif Group for specialized credit activity, taking into account the bank’s financial situation in 2014. In 2011, Portugal was submitted to an external finance programme carried out by troika which imposed very restricted measures to the financial sector. Subsequently, Banif was not able to accomplish the required results having to appeal to Government financing, being under a recapitalization plan since 2012.