17 resultados para Vector spaces -- Problems, exercises, etc.

em Repositório Científico do Instituto Politécnico de Lisboa - Portugal


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In this paper, the exact value for the norm of directional derivatives, of all orders, for symmetric tensor powers of operators on finite dimensional vector spaces is presented. Using this result, an upper bound for the norm of all directional derivatives of immanants is obtained.

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Water covers over 70% of the Earth's surface, and is vital for all known forms of life. But only 3% of the Earth's water is fresh water, and less than 0.3% of all freshwater is in rivers, lakes, reservoirs and the atmosphere. However, rivers and lakes are an important part of fresh surface water, amounting to about 89%. In this Master Thesis dissertation, the focus is on three types of water bodies – rivers, lakes and reservoirs, and their water quality issues in Asian countries. The surface water quality in a region is largely determined both by the natural processes such as climate or geographic conditions, and the anthropogenic influences such as industrial and agricultural activities or land use conversion. The quality of the water can be affected by pollutants discharge from a specific point through a sewer pipe and also by extensive drainage from agriculture/urban areas and within basin. Hence, water pollutant sources can be divided into two categories: Point source pollution and Non-point source (NPS) pollution. Seasonal variations in precipitation and surface run-off have a strong effect on river discharge and the concentration of pollutants in water bodies. For example, in the rainy season, heavy and persistent rain wash off the ground, the runoff flow increases and may contain various kinds of pollutants and, eventually, enters the water bodies. In some cases, especially in confined water bodies, the quality may be positive related with rainfall in the wet season, because this confined type of fresh water systems allows high dilution of pollutants, decreasing their possible impacts. During the dry season, the quality of water is largely related to industrialization and urbanization pollution. The aim of this study is to identify the most common water quality problems in Asian countries and to enumerate and analyze the methodologies used for assessment of water quality conditions of both rivers and confined water bodies (lakes and reservoirs). Based on the evaluation of a sample of 57 papers, dated between 2000 and 2012, it was found that over the past decade, the water quality of rivers, lakes, and reservoirs in developing countries is being degraded. Water pollution and destruction of aquatic ecosystems have caused massive damage to the functions and integrity of water resources. The most widespread NPS in Asian countries and those which have the greatest spatial impacts are urban runoff and agriculture. Locally, mine waste runoff and rice paddy are serious NPS problems. The most relevant point pollution sources are the effluents from factories, sewage treatment plant, and public or household facilities. It was found that the most used methodology was unquestionably the monitoring activity, used in 49 of analyzed studies, accounting for 86%. Sometimes, data from historical databases were used as well. It can be seen that taking samples from the water body and then carry on laboratory work (chemical analyses) is important because it can give an understanding of the water quality. 6 papers (11%) used a method that combined monitoring data and modeling. 6 papers (11%) just applied a model to estimate the quality of water. Modeling is a useful resource when there is limited budget since some models are of free download and use. In particular, several of used models come from the U.S.A, but they have their own purposes and features, meaning that a careful application of the models to other countries and a critical discussion of the results are crucial. 5 papers (9%) focus on a method combining monitoring data and statistical analysis. When there is a huge data matrix, the researchers need an efficient way of interpretation of the information which is provided by statistics. 3 papers (5%) used a method combining monitoring data, statistical analysis and modeling. These different methods are all valuable to evaluate the water quality. It was also found that the evaluation of water quality was made as well by using other types of sampling different than water itself, and they also provide useful information to understand the condition of the water body. These additional monitoring activities are: Air sampling, sediment sampling, phytoplankton sampling and aquatic animal tissues sampling. Despite considerable progress in developing and applying control regulations to point and NPS pollution, the pollution status of rivers, lakes, and reservoirs in Asian countries is not improving. In fact, this reflects the slow pace of investment in new infrastructure for pollution control and growing population pressures. Water laws or regulations and public involvement in enforcement can play a constructive and indispensable role in environmental protection. In the near future, in order to protect water from further contamination, rapid action is highly needed to control the various kinds of effluents in one region. Environmental remediation and treatment of industrial effluent and municipal wastewaters is essential. It is also important to prevent the direct input of agricultural and mine site runoff. Finally, stricter environmental regulation for water quality is required to support protection and management strategies. It would have been possible to get further information based in the 57 sample of papers. For instance, it would have been interesting to compare the level of concentrations of some pollutants in the diferente Asian countries. However the limit of three months duration for this study prevented further work to take place. In spite of this, the study objectives were achieved: the work provided an overview of the most relevant water quality problems in rivers, lakes and reservoirs in Asian countries, and also listed and analyzed the most common methodologies.

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Introduction - In poultry houses, large-scale production has led to increased bird densities within buildings. Such high densities of animals kept within confined spaces are a source of human health problems related to occupational organic dust exposure. This organic dust is composed of both non-viable particles and viable particulate matter (also called bioaerosols). Bioaerosols are comprised by airborne bacteria, fungi, viruses and their by-products, endotoxins and mycotoxins. Exposure to fungi in broiler houses may vary depending upon the applied ventilation system. Ventilation can be an important resource in order to reduce air contamination in these type of settings. Nevertheless, some concerns regarding costs, sensitivity of the animal species to temperature differences, and also the type of building used define which type of ventilation is used. Aim of the study - A descriptive study was developed in one poultry unit aiming to assess occupational fungal and volatile organic compounds (VOCs) exposure.

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Thirty years ago, G.N. de Oliveira has proposed the following completion problems: Describe the possible characteristic polynomials of [C-ij], i,j is an element of {1, 2}, where C-1,C-1 and C-2,C-2 are square submatrices, when some of the blocks C-ij are fixed and the others vary. Several of these problems remain unsolved. This paper gives the solution, over the field of real numbers, of Oliveira's problem where the blocks C-1,C-1, C-2,C-2 are fixed and the others vary.

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A new Modular Marx Multilevel Converter, M(3)C, is presented. The M(3)C topology was developed based on the Marx Generator concept and can contribute to technological innovation for sustainability by enabling wind energy off-shore modular multilevel power switching converters with an arbitrary number of levels. This paper solves both the DC capacitor voltage balancing problem and modularity problems of multilevel converters, using a modified cell of a solid-state Marx modulator, previously developed by authors for high voltage pulsed power applications. The paper details the structure and operation of the M(3)C modules, and their assembling to obtain multilevel converters. Sliding mode control is applied to a M(3)C leg and the vector leading to automatic capacitor voltage equalization is chosen. Simulation results are presented to show the effectiveness of the proposed M(3)C topology.

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O presente estudo visou caraterizar as representações que técnicos de intervenção precoce têm sobre famílias que vivem em meio rural e em meio urbano que recebem apoio das equipas. Foram realizadas entrevistas semi-diretivas, os participantes e entrevistados foram dez docentes com intervenção educativa nas equipas, cinco em apoio direto a famílias de meio rural e cinco a realizar intervenções com famílias de meio urbano. Deste estudo resultaram vários dados qualitativos que depois de analisados e discutidos, levaram a diversas conclusões que vem dar respostas às questões e problemática iniciais. As famílias inseridas nestes contextos têm características que as diferenciam; habilitações, recursos, necessidades e comportamentos em comunidade. Tem aspetos culturais que influenciam as suas atitudes, participação e autonomia e são ou não decisivas no desenvolvimento da criança. Em contexto rural as famílias apresentam um maior número de necessidades comparativamente às famílias de meio urbano. As maiores necessidades das famílias em contexto rural situam-se nas questões financeiras, de formação e apoio técnico e especializado. As maiores necessidades das famílias de contexto urbano situam-se ao nível do fraco apoio familiar e das redes sociais. As necessidades comuns situam-se nas necessidades de informação e promoção da autonomia e competências parentais. As visitas e intervenções domiciliares podem permitir melhorar a identificação das necessidades e recursos das famílias e compreender melhor os critérios de referência de algumas crianças. As oportunidades de aprendizagem são maiores nestes encontros em domicílio, estão presentes em muitos casos, elementos da família alargada, que muitas vezes tem um papel fundamental na educação e estimulação destas crianças. Os docentes de IP em intervenção em contexto urbano, comparativamente com os docentes inseridos em contexto rural, apoiam famílias que na generalidade abrangem áreas profissionais mais vantajosas financeiramente. Estas famílias terão á partida melhores condições para aceder a mais recursos e apoios. Nos dois contextos existe uma necessidade comum, falta de informação e alguma autonomia e competências parentais em relação ao crescimento das crianças. A realização de iii encontros de pais ou criação de grupos de pais que tenham por base a partilha de experiencias e informação, estão planeadas mas não são uma realidade nestas equipas. Nas práticas de qualidade, o profissional deve atuar nos contextos naturais como, a família, ou a comunidade, mas pode incluir também rotinas, brincadeiras, festas etc. cenários que facilitem o dia-a-dia. As famílias têm contextos e rotinas próprias que os profissionais devem identificar, os dados que recolhemos indicam essa necessidade de proceder a avaliação mais atenta das necessidades das famílias. As práticas recomendadas e o enquadramento legislativo são tidos em conta pelos docentes e profissionais das equipas, os recursos documentais são na sua maioria comuns, a todas as equipas participantes, seguindo as orientações e documentos/minutas facultadas pela comissão coordenadora do SNIPI (Sistema Nacional de Intervenção Precoce na Infância) Apesar das recomendações teóricas para práticas de qualidade centradas na família, verificamos que estas fazem parte das preocupações destes docentes, mas nem sempre são implementadas. A problemática da criança parece ser ainda o ponto mais importante dos programas e planos de intervenção e mesmo o critério decisivo para delinear a duração e frequência das intervenções, seja em contexto urbano ou rural. - ABSTRACT This study aimed to characterize the families of rural and urban areas that receive support from Early Intervention Teams. It has been proposed yet whether professionals IP suit their practices to the characteristics of these families and communities integrated in different cultural contexts. Interviews were conducted semidirective, participants were ten respondents and teachers with educational intervention teams, five in direct support to families in rural areas and five interventions with families in urban areas. This study resulted in a number of qualitative data that then analyzed and discussed, led to several conclusions that comes to answer the questions and problems early. The families included in these contexts have characteristics that differentiate them; qualifications, resources, needs and behaviors in the community. Has cultural aspects that influence their attitudes, participation and autonomy and are not decisive in the development of the child. In the rural households have a greater number of needs compared to urban families. The greatest needs of families in rural settings are located in financial matters, training and technical support and expertise. The greatest needs of the urban households are located at the level of weak family support and social networks. Common needs lie in information needs and promoting autonomy and parenting skills. The home visits and interventions may allow improved identification of needs and resources of families and understand the benchmarks of some children. Learning opportunities are greater in these meetings at home, are present in many cases, elements of the extended family, which often plays a key role in education and stimulation of these children. Teachers IP intervention in the urban compared with rural teachers placed in context, support families in general include professional areas more financially advantageous. These families will have better starting conditions for access to more resources and support. In both contexts there is a common need, lack of information and some autonomy and parenting skills in relation to the growth of children. The meetings of parents or creating parent groups that are based on the sharing of information and experiences are planned but are not a reality in these teams. In quality practices, the professional must act in natural contexts like the family or the community, but may also include routines, jokes, and parties’ etc. scenarios that v facilitate the day-to-day. Families have their own contexts and routines that professionals should identify, collect the data indicate that the need for more careful assessment of the needs of families. Best practices and legislative environment are taken into account by teachers and professional teams, the documentary resources are mostly common to all participating teams, following the guidelines and documents / drafts provided by the coordinating committee SNIPI (National Intervention Early Childhood) Despite the theoretical recommendations for quality practices family-centered, we see that these are part of the concerns of teachers, but are not always implemented. The issue of child seems to be still the most important programs and plans and even the decisive criterion for delineating the duration and frequency of interventions whether in urban or rural.

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n this paper we make an exhaustive study of the fourth order linear operator u((4)) + M u coupled with the clamped beam conditions u(0) = u(1) = u'(0) = u'(1) = 0. We obtain the exact values on the real parameter M for which this operator satisfies an anti-maximum principle. Such a property is equivalent to the fact that the related Green's function is nonnegative in [0, 1] x [0, 1]. When M < 0 we obtain the best estimate by means of the spectral theory and for M > 0 we attain the optimal value by studying the oscillation properties of the solutions of the homogeneous equation u((4)) + M u = 0. By using the method of lower and upper solutions we deduce the existence of solutions for nonlinear problems coupled with this boundary conditions. (C) 2011 Elsevier Ltd. All rights reserved.

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This study was carried out with the aim of modeling in 2D, in plain strain, the movement of a soft cohesive soil around a pile, in order to enable the determination of stresses resulting along the pile, per unit length. The problem in study fits into the large deformations problem and can be due to landslide, be close of depth excavations, to be near of zones where big loads are applied in the soil, etc. In this study is used an constitutive Elasto-Plastic model with the failure criterion of Mohr-Coulomb to model the soil behavior. The analysis is developed considering the soil in undrained conditions. To the modeling is used the finite element program PLAXIS, which use the Updated Lagrangian - Finite Element Method (UL-FEM). In this work, special attention is given to the soil-pile interaction, where is presented with some detail the formulation of the interface elements and some studies for a better understand of his behavior. It is developed a 2-D model that simulates the effect of depth allowing the study of his influence in the stress distribution around the pile. The results obtained give an important base about how behaves the movement of the soil around a pile, about how work the finite element program PLAXIS and how is the stress distribution around the pile. The analysis demonstrate that the soil-structure interaction modeled with the UL-FEM and interface elements is more appropriate to small deformations problems.

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This paper is a contribution for the assessment and comparison of magnet properties based on magnetic field characteristics particularly concerning the magnetic induction uniformity in the air gaps. For this aim, a solver was developed and implemented to determine the magnetic field of a magnetic core to be used in Fast Field Cycling (FFC) Nuclear Magnetic Resonance (NMR) relaxometry. The electromagnetic field computation is based on a 2D finite-element method (FEM) using both the scalar and the vector potential formulation. Results for the magnetic field lines and the magnetic induction vector in the air gap are presented. The target magnetic induction is 0.2 T, which is a typical requirement of the FFC NMR technique, which can be achieved with a magnetic core based on permanent magnets or coils. In addition, this application requires high magnetic induction uniformity. To achieve this goal, a solution including superconducting pieces is analyzed. Results are compared with a different FEM program.

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In basaltic dykes the magnetic lineation K1 (maximum magnetic susceptibility axis) is generally taken to indicate the flow direction during solidification of the magma. This assumption was tested in Tertiary basaltic dykes from Greenland displaying independent evidence of subhorizontal flow. The digital processing of microphotographs from thin sections cut in (K1, K2) planes yields the preferred linear orientation of plagioclase, which apparently marks the magma flow lineation. In up to 60% of cases, the angular separation between K1 and the assumed flow direction is greater than 45degrees. This suggests that the uncorroborated use of magnetic lineations in dykes is risky. A simple geometrical method is proposed to infer the flow vector from AMS in dykes based solely on magnetic foliations.

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Relatório final apresentado à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ensino do 1.º e 2.º Ciclos do Ensino Básico

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Relatório Final de Estágio apresentado à Escola Superior de Dança com vista à obtenção do Grau de Mestre em Ensino de Dança.

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This paper presents a computational tool (PHEx) developed in Excel VBA for solving sizing and rating design problems involving Chevron type plate heat exchangers (PHE) with 1-pass-1-pass configuration. The rating methodology procedure used in the program is outlined, and a case study is presented with the purpose to show how the program can be used to develop sensitivity analysis to several dimensional parameters of PHE and to observe their effect on transferred heat and pressure drop.

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Many learning problems require handling high dimensional datasets with a relatively small number of instances. Learning algorithms are thus confronted with the curse of dimensionality, and need to address it in order to be effective. Examples of these types of data include the bag-of-words representation in text classification problems and gene expression data for tumor detection/classification. Usually, among the high number of features characterizing the instances, many may be irrelevant (or even detrimental) for the learning tasks. It is thus clear that there is a need for adequate techniques for feature representation, reduction, and selection, to improve both the classification accuracy and the memory requirements. In this paper, we propose combined unsupervised feature discretization and feature selection techniques, suitable for medium and high-dimensional datasets. The experimental results on several standard datasets, with both sparse and dense features, show the efficiency of the proposed techniques as well as improvements over previous related techniques.