994 resultados para Screen Capture Software


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Os incêndios em edifícios representam um fenómeno que pode ter consequências devastadoras quando não controlado, não só em termos de perdas de vidas humanas, como em termos económicos. No passado, a ocorrência de incêndios de grandes dimensões mostrou os efeitos do fogo descontrolado nos edifícios, assim como a ineficiência dos meios de segurança ativa ao fogo. Nas últimas duas décadas, estas questões motivaram o estudo e compreensão da ação dos incêndios nas estruturas dos edifícios. Neste trabalho estuda-se a modelação da ação do fogo em estruturas metálicas e mistas, com o objetivo de contribuir para a sua melhor caracterização. A presente tese foca-se na validação e compreensão da implementação de análises termo-mecânicas a estruturas mistas no software de elementos finitos OpenSees (Open System for Earthquake Engineering Simulation), contribuindo assim para futuros estudos, não só de análises de estruturas mistas sujeitas a incêndio, mas também de análises de estruturas mistas sujeitas a eventos consecutivos, como sismo seguido de incêndio. Neste trabalho é feita uma breve descrição do fenómeno fogo, assim como dos processos inerentes à dinâmica de um incêndio que constituem uma fonte de incerteza para a modelação de cenários de incêndio num edifício. Posto isto, são abordados alguns modelos de incêndios presentes nos Eurocódigos, assim como o recente modelo de fogos móveis(“Travelling fires”). São realizados exemplos de aplicação no software e dois casos de estudo. O primeiro consiste na modelação de dois ensaios ao fogo realizados na Alemanha em 1986 em estruturas metálicas à escala 1/4. O segundo consiste na modelação de um ensaio ao fogo a uma viga de betão armado simplesmente apoiada, realizado no Instituto Superior Técnico em 2010. Os modelos numéricos desenvolvidos no OpenSees contabilizam as não linearidades físicas e geométricas, com elementos finitos de plasticidade distribuída e com uma formulação baseada em deslocamentos. Os resultados numéricos são então comparados com os experimentais, de modo a validar as análises termo-mecânicas no OpenSees.

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The Corporate world is becoming more and more competitive. This leads organisations to adapt to this reality, by adopting more efficient processes, which result in a decrease in cost as well as an increase of product quality. One of these processes consists in making proposals to clients, which necessarily include a cost estimation of the project. This estimation is the main focus of this project. In particular, one of the goals is to evaluate which estimation models fit the Altran Portugal software factory the most, the organization where the fieldwork of this thesis will be carried out. There is no broad agreement about which is the type of estimation model more suitable to be used in software projects. Concerning contexts where there is plenty of objective information available to be used as input to an estimation model, model-based methods usually yield better results than the expert judgment. However, what happens more frequently is not having this volume and quality of information, which has a negative impact in the model-based methods performance, favouring the usage of expert judgement. In practice, most organisations use expert judgment, making themselves dependent on the expert. A common problem found is that the performance of the expert’s estimation depends on his previous experience with identical projects. This means that when new types of projects arrive, the estimation will have an unpredictable accuracy. Moreover, different experts will make different estimates, based on their individual experience. As a result, the company will not directly attain a continuous growing knowledge about how the estimate should be carried. Estimation models depend on the input information collected from previous projects, the size of the project database and the resources available. Altran currently does not store the input information from previous projects in a systematic way. It has a small project database and a team of experts. Our work is targeted to companies that operate in similar contexts. We start by gathering information from the organisation in order to identify which estimation approaches can be applied considering the organization’s context. A gap analysis is used to understand what type of information the company would have to collect so that other approaches would become available. Based on our assessment, in our opinion, expert judgment is the most adequate approach for Altran Portugal, in the current context. We analysed past development and evolution projects from Altran Portugal and assessed their estimates. This resulted in the identification of common estimation deviations, errors, and patterns, which lead to the proposal of metrics to help estimators produce estimates leveraging past projects quantitative and qualitative information in a convenient way. This dissertation aims to contribute to more realistic estimates, by identifying shortcomings in the current estimation process and supporting the self-improvement of the process, by gathering as much relevant information as possible from each finished project.

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A discinesia ciliar primária (DCP) resulta de disfunção ciliar no ser humano, estando associada a um conjunto de sintomas muito diversificados. É uma doença respiratória rara caracterizada por infecções respiratórias, situs inversus, infertilidade e hidrocefalia. Em Portugal não existe nenhum centro de diagnóstico da doença. Mas a inten-ção de criar um surgiu, seguindo o método de centros de diagnóstico para DCP utilizado noutros países. Este diagnóstico consiste em recolher amostras dos cílios do nariz, através do método de escovagem nasal e obter a gravação do batimento das células ciliadas por uma câmara de alta velocidade acoplada a um microscópio com objectivas de alta resolução. É possível estudar a DCP através da análise do comportamento físico dos cílios, e, para uma melhor abordagem, foi desenvolvido um programa executável, em C#, para análise destas amostras. Este, após a escolha de uma zona de interesse da sequência de imagens pelo utilizador (ROI), detecta as frequências do bati-mento ciliar, indicando uma lista com as percentagens das frequências obtidas e cria um mapa de frequências do ROI. A ferramenta permite ainda calcular o comprimento do cílio e realizar um estudo do movimento do mesmo, algo que ainda não foi abordado por outros programas. O código desenvolvido permitirá, assim, obter um diagnóstico de DCP em Por-tugal, rápido e nalguns casos com um melhor desempenho do que a inspecção visual seguida noutros centros de diagnóstico.

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Nesta Tese foi desenvolvida uma plataforma online multiutilizador, que tem como objetivo principal comparar algoritmos de análise de imagens para de-terminar o seu grau de eficácia. Um exemplo de aplicação é a comparação de algoritmos de análise de imagens da retina para deteção de drusas. A compa-ração é feita considerando um dos algoritmos como referência padrão e sobre o este são avaliados os restantes. O funcionamento da plataforma é semelhante à de um fórum, onde é possível a um utilizador criar tópicos publicando imagens e seu descritivo. Após a cria-ção do tópico qualquer utilizador pode visualizar o mesmo, dando a hipótese de comentar ou de acrescentar imagens processadas com os seus próprios al-goritmos de análise. Com o aumento de imagens processadas, obtém-se uma base de dados de algoritmos de análise de imagens sobre a qual é possível avaliar o seu grau de eficácia. A plataforma pretende também criar comunidades onde os utilizadores pos-sam interagir uns com os outros comentando sobre os tópicos, contribuindo assim para o melhoramento dos algoritmos. Deste modo, além de uma base de dados que qualquer utilizador pode usar, obtém-se uma fonte de informação disponibilizada por outros profissionais da área.

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Since the invention of photography humans have been using images to capture, store and analyse the act that they are interested in. With the developments in this field, assisted by better computers, it is possible to use image processing technology as an accurate method of analysis and measurement. Image processing's principal qualities are flexibility, adaptability and the ability to easily and quickly process a large amount of information. Successful examples of applications can be seen in several areas of human life, such as biomedical, industry, surveillance, military and mapping. This is so true that there are several Nobel prizes related to imaging. The accurate measurement of deformations, displacements, strain fields and surface defects are challenging in many material tests in Civil Engineering because traditionally these measurements require complex and expensive equipment, plus time consuming calibration. Image processing can be an inexpensive and effective tool for load displacement measurements. Using an adequate image acquisition system and taking advantage of the computation power of modern computers it is possible to accurately measure very small displacements with high precision. On the market there are already several commercial software packages. However they are commercialized at high cost. In this work block-matching algorithms will be used in order to compare the results from image processing with the data obtained with physical transducers during laboratory load tests. In order to test the proposed solutions several load tests were carried out in partnership with researchers from the Civil Engineering Department at Universidade Nova de Lisboa (UNL).

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Contém CD com áudio como anexo

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INTRODUCTION: The present study compares human landing catches of primary malaria vectors with two alternative methods of capture: the Shannon trap and the Mosquito magnet. METHODS: This study used regression models to adjust capture data to a negative binominal distribution. RESULTS: Capture numbers and relative percentages obtained from the three methods vary strongly between species. The highest overall captures were obtained for Anopheles triannulatus with captures for the Shannon trap and the Mosquito magnet measuring more than 330% higher than captures obtained by human landings. For Anopheles darlingi, captures by the Shannon trap and the Mosquito magnet were about 14% and 26% of human landing catches, respectively. Another species with malaria transmission potential that was not sampled by human landing captures weascaptured by the Shannon trap and the Mosquito magnet (Anopheles oswaldoi). Both alternative sampling techniques can predict the human landing of Anopheles triannulatus, but without proportionality. Models for Anopheles darlingi counts, after totaling daily captures, are significant and proportional, but prediction models are more reliable when using the Shannon trap compared with the Mosquito magnet captures. CONCLUSIONS: These alternative capture methods can be partially recommended for the substitution of human landing captures or, at least, as complementary forms of monitoring for malarial mosquitoes.

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INTRODUCTION: Triatomine bug captures in the wild are laborious and time-consuming. Some traps may assist in this task. We report a new trap design and the capture of a specimen of a triatomine rarely found. METHODS: Two luminous traps were installed in the city of Diamantina, State of Minas Gerais, and surveyed weekly for a year. RESULTS: A Triatoma arthurneivai female and other triatomine bugs were caught. CONCLUSIONS: A new trap design may be used in triatomine bugs field captures, mainly in low density areas. We assume the center of endemism of Triatoma arthurneivai is the Espinhaço Mountain range.

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Programmes supporting micro and small enterprises in developing countries have been showing that capital is not enough to allow business success: survival and growth. Literature does not provide comprehensive and practical tool to support business development in this context, but allowed the collection of forty-nine success variables that were studied in a sample of successful and unsuccessful businesses in the Island of Mozambique to discover what were the key factors affecting those businesses’ performance. Empirical data gave the insights for the development of a model to screen and improve business potential of micro and small enterprises in this context.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics and Maastricht University School of Business and Economics

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Introduction This study evaluated the level of concordance between hybrid capture II (HCII) and PapilloCheck® for the detection of high-risk human papillomavirus (HPV) in anal samples. Methods Anal cell samples collected from 42 human immunodeficiency virus (HIV)+ patients were analyzed. Results Considering only the 13 high-risk HPV types that are detectable by both tests, HCII was positive for 52.3% of the samples, and PapilloCheck® was positive for 52.3%. The level of concordance was 80.9% (Kappa = 0.61). Conclusions Good concordance was observed between the tests for the detection of high-risk HPV.

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Introduction. The genera Enterococcus, Staphylococcus and Streptococcus are recognized as important Gram-positive human pathogens. The aim of this study was to evaluate the performance of Vitek 2 in identifying Gram-positive cocci and their antimicrobial susceptibilities. Methods. One hundred four isolates were analyzed to determine the accuracy of the automated system for identifying the bacteria and their susceptibility to oxacillin and vancomycin. Results. The system correctly identified 77.9% and 97.1% of the isolates at the species and genus levels, respectively. Additionally, 81.8% of the Vitek 2 results agreed with the known antimicrobial susceptibility profiles. Conclusion. Vitek 2 correctly identified the commonly isolated strains; however, the limitations of the method may lead to ambiguous findings.

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Software Product Line (SPL) engineering aims at achieving efficient development of software products in a specific domain. New products are obtained via a process which entails creating a new configuration specifying the desired product’s features. This configuration must necessarily conform to a variability model, that describes the scope of the SPL, or else it is not viable. To ensure this, configuration tools are used that do not allow invalid configurations to be expressed. A different concern, however, is making sure that a product addresses the stakeholders’ needs as best as possible. The stakeholders may not be experts on the domain, so they may have unrealistic expectations. Also, the scope of the SPL is determined not only by the domain but also by limitations of the development platforms. It is therefore possible that the desired set of features goes beyond what is possible to currently create with the SPL. This means that configuration tools should provide support not only for creating valid products, but also for improving satisfaction of user concerns. We address this goal by providing a user-centric configuration process that offers suggestions during the configuration process, based on the use of soft constraints, and identifying and explaining potential conflicts that may arise. Suggestions help mitigating stakeholder uncertainty and poor domain knowledge, by helping them address well known and desirable domain-related concerns. On the other hand, automated conflict identification and explanation helps the stakeholders to understand the trade-offs required for realizing their vision, allowing informed resolution of conflicts. Additionally, we propose a prototype-based approach to configuration, that addresses the order-dependency issues by allowing the complete (or partial) specification of the features in a single step. A subsequent resolution process will then identify possible repairs, or trade-offs, that may be required for viabilization.