873 resultados para Mineração de dados (Computação)


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Versão com menu acessível para leitores de tela e vídeo com audiodescrição.

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Dinis Pestana

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Este trabalho foi realizado na Universidade da Madeira, no âmbito do Mestrado em Engenharia Informática, tendo como título “Implementação de um sistema autónomo para a geração de visualizações 3D de dados ambientais”. A visualização 3D tem vindo a ganhar terreno em áreas como o entretenimento, medicina, arquitetura e desenho de equipamentos, entre outros. Relativamente à visualização de dados ambientais (oceano e atmosfera) em 3D, esta é uma área pouco explorada. Como tal, foi proposto o estudo e criação de um sistema autónomo capaz de gerar imagens 3D de dados ambientais e disponibilizar as mesmas na web. O estudo iniciou-se com testes às ferramentas que permitem a visualização 3D de dados ambientais, de forma a escolher a que mais se adequa ao sistema a implementar. Após diversos testes às várias ferramentas, a que mais se destacou foi o IDV (Integrated Data Visualization), pelas suas funcionalidades e capacidade de ser executado de forma automática. A implementação do sistema foi efetuada ao longo de diversas etapas: pré-processamento dos dados; escolha das visualizações a disponibilizar na web; escrita do script responsável pelo processo; criação das páginas web para visualização das imagens e implementação de todo o sistema em ambiente Linux. Este sistema foi desenvolvido tendo em conta a adição de novas visualizações, assim como a alteração das visualizações existentes. A possibilidade de adicionar/alterar visualizações de forma simples também foi tida em conta, de forma a não ser necessário reestruturar todo o sistema.

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A presente dissertação centrar-se-á no objetivo de dar a conhecer, de forma genérica, alguns aspetos acerca da invenção da escrita e da evolução dos seus suportes até aos dias de hoje, tomando em conta algumas ideias acerca da criação da internet e do conceito de hipertexto, suas implicações e potenciais aplicações no modo como os leitores contactam e lidam com o texto. Atualmente, a informação disponível em rede está a crescer exponencialmente, pois todos os dias surgem novas páginas Web e através delas são disponibilizados novos ficheiros. De forma a administrar uma enorme quantidade de informação de teor muito diverso, houve a necessidade de se construir bases de dados. O tópico central desta dissertação é – no quadro da imprensa Madeirense publicada ao longo da década de 1980, em especial a imprensa cultural produzida na cidade do Funchal a – Atlântico – Revista de Temas Culturais, publicada entre os anos 1985-1989. O trabalho realizado consistiu, através da utilização da base de dados bibliográfica Bibus (disponível em rede para download), na criação de uma base de dados a partir da análise dos vinte números da revista Atlântico – Revista de Temas Culturais, da sua leitura, indexação, resumo e da organização de fichas bibliográficas individuais para todos os artigos publicados em todos os números da referida revista. Como anexo a este trabalho, a base de dados está disponível em CD-ROM, suporte que contém igualmente cópias integrais digitalizadas de todos números da Atlântico – Revista de Temas Culturais.

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O objetivo deste relatório é dar a conhecer um possível percurso de carreira para um aluno que, à entrada no mundo profissional, se interessou por sistemas de suporte à decisão e mais tarde enveredou por uma carreira de docente. Descrevi a minha experiência profissional desde a entrada no curso de Engenharia Informática e as opções que fui tomando durante e depois do curso, demonstrativas do interesse e tendências para a área de suporte à decisão dentro das TI, help desk, assim como pela área do ensino. Assim, o facto de ter trabalhado em diversas áreas e em diversas entidades, colaborei destacadamente na CENTRIA, Portugal Telecom (System Care) e Escola Secundária de Francisco Franco. Nestas entidades fiz desenvolvimento aplicacional em Text Mining, na definição de requisitos, na qualidade e integração de dados e na transmissão de ensinamentos. Esta multiplicidade de contextos permitiu a minha evolução profissional e humana. O curso na FCT-UNL capacitou-me para ser tolerante à frustração, devido aos inúmeros obstáculos com que me fui deparando ao longo do curso, transmitindo-me, assim, uma capacidade de adaptação ao nível das mais diversas tecnologias e metodologias. Ao longo da minha carreira, e graças a todos os ensinamentos assimilados, tenho conseguido ultrapassar sempre as tarefas difíceis a nível técnico, funcional e de gestão que me foram surgindo. Espero transmitir claramente como funcionam os meus projetos, as suas componentes, dificuldades e particularidades.

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O principal objetivo deste projeto foi propor um sistema de aquisição de dados de uma aplicação remota. Existem diversas aplicações que requerem a recolha de informação remota, sendo, para isso, necessário estabelecer um sistema de comunicação dedicado. Este trabalho procurou encontrar as melhores soluções para o problema em causa, testando e avaliado um sistema de comunicação. Para testar o sistema foi desenvolvido um protótipo de monotorização de parâmetros ambientais, que mede periodicamente os valores de temperatura, humidade, luminosidade e pressão atmosférica. A comunicação entre sensores foi realizada com recurso a rádios XBee com protocolo Zigbee. Foi, também, desenvolvido um nó de coordenação que tem como objetivo principal gerir e manter todo o sistema de aquisição de dados. Este protótipo recebe, valida e armazena num cartão SD todos os dados provenientes do nó sensor e periodicamente envia os dados para um servidor com acesso a internet. A aquisição de dados em aplicações remotas, normalmente, é efetuada em zonas de ausência de energia elétrica. Então, tendo em consideração a capacidade reduzida dos sistemas de armazenamento de energia, foram desenvolvidos sistemas de alimentação através de energia solar, focando-se no mínimo de consumo possível. Para a comunicação de longa distância foi implementado e testado um sistema de feixes hertzianos. Estudou-se a propagação, utilizando a banda isenta de licença dos 2,4 GHz. Projetou-se uma ligação entre dois pontos e procedeu-se à validação das áreas de cobertura, a qual requer a estimação do sinal nos pontos de interesse. Verificou-se as zonas de interferência e as zonas onde o sinal é fraco ou está no seu limite. O desenvolvimento deste sistema de comunicação foi fundamentado com a análise e avaliação dos modelos de propagação, juntamente com o software criado em plataforma Matlab. Finalmente foram apresentadas as conclusões e algumas sugestões de trabalhos futuros.

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When a company desires to invest in a project, it must obtain resources needed to make the investment. The alternatives are using firm s internal resources or obtain external resources through contracts of debt and issuance of shares. Decisions involving the composition of internal resources, debt and shares in the total resources used to finance the activities of a company related to the choice of its capital structure. Although there are studies in the area of finance on the debt determinants of firms, the issue of capital structure is still controversial. This work sought to identify the predominant factors that determine the capital structure of Brazilian share capital, non-financial firms. This work was used a quantitative approach, with application of the statistical technique of multiple linear regression on data in panel. Estimates were made by the method of ordinary least squares with model of fixed effects. About 116 companies were selected to participate in this research. The period considered is from 2003 to 2007. The variables and hypotheses tested in this study were built based on theories of capital structure and in empirical researches. Results indicate that the variables, such as risk, size, and composition of assets and firms growth influence their indebtedness. The profitability variable was not relevant to the composition of indebtedness of the companies analyzed. However, analyzing only the long-term debt, comes to the conclusion that the relevant variables are the size of firms and, especially, the composition of its assets (tangibility).This sense, the smaller the size of the undertaking or the greater the representation of fixed assets in total assets, the greater its propensity to long-term debt. Furthermore, this research could not identify a predominant theory to explain the capital structure of Brazilian

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This work aims to analyze risks related to information technology (IT) in procedures related to data migration. This is done considering ALEPH, Integrated Libray System (ILS) that migrated data to the Library Module present in the software called Sistema Integrado de Gestão de Atividades Acadêmicas (SIGAA) at the Zila Mamede Central Library at the Federal University of Rio Grande do Norte (UFRN) in Natal/Brazil. The methodological procedure used was of a qualitative exploratory research with the realization of case study at the referred library in order to better understand this phenomenon. Data collection was able once there was use of a semi-structured interview that was applied with (11) subjects that are employed at the library as well as in the Technology Superintendence at UFRN. In order to examine data Content analysis as well as thematic review process was performed. After data migration the results of the interview were then linked to both analysis units and their system register with category correspondence. The main risks detected were: data destruction; data loss; data bank communication failure; user response delay; data inconsistency and duplicity. These elements point out implication and generate disorders that affect external and internal system users and lead to stress, work duplicity and hassles. Thus, some measures were taken related to risk management such as adequate planning, central management support, and pilot test simulations. For the advantages it has reduced of: risk, occurrence of problems and possible unforeseen costs, and allows achieving organizational objectives, among other. It is inferred therefore that the risks present in data bank conversion in libraries exist and some are predictable, however, it is seen that librarians do not know or ignore and are not very worried in the identification risks in data bank conversion, their acknowledge would minimize or even extinguish them. Another important aspect to consider is the existence of few empirical research that deal specifically with this subject and thus presenting the new of new approaches in order to promote better understanding of the matter in the corporate environment of the information units

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Since centuries ago, the Asians use seaweed as an important source of feeding and are their greatest world-wide consumers. The migration of these peoples for other countries, made the demand for seaweed to increase. This increasing demand prompted an industry with annual values of around US$ 6 billion. The algal biomass used for the industry is collected in natural reservoirs or cultivated. The market necessity for products of the seaweed base promotes an unsustainable exploration of the natural banks, compromising its associated biological balance. In this context, seaweed culture appears as a viable alternative to prevent the depletion of these natural supplies. Geographic Information Systems (GIS) provide space and produce information that can facilitate the evaluation of important physical and socio-economic characteristics for the planning of seaweed culture. This objective of this study is to identify potential coastal areas for seaweed culture in the state of Rio Grande do Norte, from the integration of social-environmental data in the SIG. In order to achieve this objective, a geo-referred database composed of geographical maps, nautical maps and orbital digital images was assembled; and a bank of attributes including physical and oceanographical variables (winds, chains, bathymetry, operational distance from the culture) and social and environmental factors (main income, experience with seaweed harvesting, demographic density, proximity of the sheltered coast and distance of the banks) was produced. In the modeling of the data, the integration of the space database with the bank of attributes for the attainment of the map of potentiality of seaweed culture was carried out. Of a total of 2,011 ha analyzed by the GIS for the culture of seaweed, around 34% or 682 ha were indicated as high potential, 55% or 1,101 ha as medium potential, and 11% or 228 ha as low potential. The good indices of potentiality obtained in the localities studied demonstrate that there are adequate conditions for the installation of seaweed culture in the state of Rio Grande do Norte

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The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter Ω (index of neighborhood). High values of Ω reveals more aggregated data and low values of Ω show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis

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Oil spills in marine environments represent immediate environmental impacts of large magnitude. For that reason the Environmental Sensitivity to Oil Maps constitute a major instrument for planning actions of containment and cleanup. For both the Environmental Sensitivity Maps always need to be updated, to have an appropriate scale and to represent accurately the coastal areas. In this context, this thesis presents a methodology for collecting and processing remote sensing data for the purpose of updating the territorial basis of thematic maps of Environmental Sensitivity to Oil. To ensure greater applicability of the methodology, sensors with complementary characteristics, which provide their data at a low financial cost, were selected and tested. To test the methodology, an area located on the northern coast of the Northeast of Brazil was chosen. The results showed that the products of ASTER data and image hybrid sensor PALSAR + CCD and HRC + CCD, have a great potential to be used as a source of cartographic information on projects that seek to update the Environmental Sensitivity Maps of Oil

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Produced water is characterized as one of the most common wastes generated during exploration and production of oil. This work aims to develop methodologies based on comparative statistical processes of hydrogeochemical analysis of production zones in order to minimize types of high-cost interventions to perform identification test fluids - TIF. For the study, 27 samples were collected from five different production zones were measured a total of 50 chemical species. After the chemical analysis was applied the statistical data, using the R Statistical Software, version 2.11.1. Statistical analysis was performed in three steps. In the first stage, the objective was to investigate the behavior of chemical species under study in each area of production through the descriptive graphical analysis. The second step was to identify a function that classify production zones from each sample, using discriminant analysis. In the training stage, the rate of correct classification function of discriminant analysis was 85.19%. The next stage of processing of the data used for Principal Component Analysis, by reducing the number of variables obtained from the linear combination of chemical species, try to improve the discriminant function obtained in the second stage and increase the discrimination power of the data, but the result was not satisfactory. In Profile Analysis curves were obtained for each production area, based on the characteristics of the chemical species present in each zone. With this study it was possible to develop a method using hydrochemistry and statistical analysis that can be used to distinguish the water produced in mature fields of oil, so that it is possible to identify the zone of production that is contributing to the excessive elevation of the water volume.

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The inter-subjectivity is the answer in the search for the solution of complex problems, which concerns interfaces of knowledge, respecting their borders. This paradigm is essential in the author's work. So, the search on screen is based on this perspective, by using inter-subject groups of work conduced by professionals of Computer Science, Social Communication, Architecture and Urbanism, Pedagogy, Psicopegagogy, Nutritional Science, Endocrinology, Occupational Therapy and Nursing, it was also part of this group an 8 year old child, daughter of one of the professional who took part of the group. This thesis aims to present the course of investigation developed, analyzing the action of inter-subject Occupational Therapy and Nutrition on the promotion of learning nutritional concepts through educative-nutritional games in order to prevent child's obesity in an educative context. The research was analytic, interventionist and almost experimental. It took place in a public school in Fortaleza, Ceará, Brazil, between August and December 2004. It was selected a sample non-probabilistic, by convenience, of 200 children, born from 1994 to 1996. It was selected almost nonprobabilistically, by convenience, 200 children born between 1994 and 1996. To analyze the results it was used a triangulation, associated by quantitative and qualitative approaches. The basis collect happened through games specially manufactured to these research- video-games, board games, memory games, puzzles, scramble, searching words and iterative basics. There were semi-structured interviews, direct and structured observations and focus in-groups. It was noticed the efficiency of educativenutritional games in the learning process, which lead to a changing of attitude towards the eating choices. These games gave similar results in relation to the compared variations preferences, experience and attitudes, theses attitudes were observed through the game; and the categories to compare the possibility of learning by playing, the fantasy in the learning process, learning concepts of nutritional education and the need of help in the learning process (mediation). It was proved that educativenutritional games could be used to teach nutritional concepts, in an inter-subjective action of Occupational Therapy and Nutrition in schools. The simultaneous application of these games lead to the optimization of child s learning process. It should be emphasized the need of studies about the adaptation of tools used in a child s Nutritional Education, with the help of inter-subjective action. Because just one subject, in a fractionated way can give an answer to complex problems and help to a change of the reality with effectiveness and resolution

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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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Introduction: Chagas Disease is a serious public health problem, with 5 million infected individuals in Brazil. Of these, approximately 30% develop chronic Chagas cardiomyopathy (CCC), where the main symptoms are fatigue and dyspnea. Objective: To correlate maximal exercise capacity with pulmonary function, inspiratory muscle strength and quality of life in patients with CCC. Methodology: Twelve individuals suffering from CCC were evaluated (7 men), with a mean age of 54.91± 8.60 years and the following inclusion criteria: functional class II and III according to the New York Heart Association (NYHA); left ventricle ejection fraction below 45%; clinical stability (> 3 months); symptom duration > 1 year, body mass index (BMI) < 35Kg/m2 and non-smokers or ex-smokers with a history of smoking <10 packs/day. All subjects were submitted to spirometry, manometer testing, maximal cardiopulmonary exercise testing (CPX) and a quality of life questionnaire (Minnesota). Results: A negative correlation was observed between VO2máx and MLHFQ scores (r=-0.626; p=0.03) and a positive association with MIP (r=0.713; p=0.009). Positive correlations were also recorded between MIP and spirometric variables [FEV1(r=0.825;p=0.001 ), FVC(r=0.66;p=0.01 and FEF25-75%(r=0.639;p=0.02)]. Conclusion: The present study demonstrated that in patients with CCC: VO2MAX is directly related to inspiratory muscle strength and quality of life, while deteriorating lung function is directly associated with respiratory muscle weakness