134 resultados para Software requirements specifications
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia
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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
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Thesis submitted in fulfilment of the requirements for the Degree of Master of Science in Computer Science
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Relatório de Estágio apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Tradução – Especialização em Inglês
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Nowadays, existing 3D scanning cameras and microscopes in the market use digital or discrete sensors, such as CCDs or CMOS for object detection applications. However, these combined systems are not fast enough for some application scenarios since they require large data processing resources and can be cumbersome. Thereby, there is a clear interest in exploring the possibilities and performances of analogue sensors such as arrays of position sensitive detectors with the final goal of integrating them in 3D scanning cameras or microscopes for object detection purposes. The work performed in this thesis deals with the implementation of prototype systems in order to explore the application of object detection using amorphous silicon position sensors of 32 and 128 lines which were produced in the clean room at CENIMAT-CEMOP. During the first phase of this work, the fabrication and the study of the static and dynamic specifications of the sensors as well as their conditioning in relation to the existing scientific and technological knowledge became a starting point. Subsequently, relevant data acquisition and suitable signal processing electronics were assembled. Various prototypes were developed for the 32 and 128 array PSD sensors. Appropriate optical solutions were integrated to work together with the constructed prototypes, allowing the required experiments to be carried out and allowing the achievement of the results presented in this thesis. All control, data acquisition and 3D rendering platform software was implemented for the existing systems. All these components were combined together to form several integrated systems for the 32 and 128 line PSD 3D sensors. The performance of the 32 PSD array sensor and system was evaluated for machine vision applications such as for example 3D object rendering as well as for microscopy applications such as for example micro object movement detection. Trials were also performed involving the 128 array PSD sensor systems. Sensor channel non-linearities of approximately 4 to 7% were obtained. Overall results obtained show the possibility of using a linear array of 32/128 1D line sensors based on the amorphous silicon technology to render 3D profiles of objects. The system and setup presented allows 3D rendering at high speeds and at high frame rates. The minimum detail or gap that can be detected by the sensor system is approximately 350 μm when using this current setup. It is also possible to render an object in 3D within a scanning angle range of 15º to 85º and identify its real height as a function of the scanning angle and the image displacement distance on the sensor. Simple and not so simple objects, such as a rubber and a plastic fork, can be rendered in 3D properly and accurately also at high resolution, using this sensor and system platform. The nip structure sensor system can detect primary and even derived colors of objects by a proper adjustment of the integration time of the system and by combining white, red, green and blue (RGB) light sources. A mean colorimetric error of 25.7 was obtained. It is also possible to detect the movement of micrometer objects using the 32 PSD sensor system. This kind of setup offers the possibility to detect if a micro object is moving, what are its dimensions and what is its position in two dimensions, even at high speeds. Results show a non-linearity of about 3% and a spatial resolution of < 2µm.
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Dissertation to obtain the degree of Master in Chemical and Biochemical Engineering
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This research aims to provide a better understanding on how firms stimulate knowledge sharing through the utilization of collaboration tools, in particular Emergent Social Software Platforms (ESSPs). It focuses on the distinctive applications of ESSPs and on the initiatives contributing to maximize its advantages. In the first part of the research, I have itemized all types of existing collaboration tools and classify them in different categories according to their capabilities, objectives and according to their faculty for promoting knowledge sharing. In the second part, and based on an exploratory case study at Cisco Systems, I have identified the main applications of an existing enterprise social software platform named Webex Social. By combining a qualitative and quantitative approach, as well as combining data collected from survey’s results and from the analysis of the company’s documents, I am expecting to maximize the outcome of this investigation and reduce the risk of bias. Although effects cannot be universalized based on one single case study, some utilization patterns have been underlined from the data collected and potential trends in managing knowledge have been observed. The results of the research have also enabled identifying most of the constraints experienced by the users of the firm’s social software platform. Utterly, this research should provide a primary framework for firms planning to create or implement a social software platform and for firms willing to increase adoption levels and to promote the overall participation of users. It highlights the common traps that should be avoided by developers when designing a social software platform and the capabilities that it should inherently carry to support an effective knowledge management strategy.
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NSBE-UNL
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O peixe-zebra é utilizado como modelo vertebrado para estudos in vivo de diversas patologias de origem genética. Neste trabalho pretendeu-se estudar a discinesia ciliar primária através do estudo in vivo do organizador da esquerda-direita destes peixes, conhecido por vesícula de Kupffer. Em particular, após análise de sequências de imagens captadas a alta velocidade, avaliou-se o com-portamento dinâmico de cílios normais e comparou-se com o de cílios com alte-rações genéticas com o objectivo de melhor compreender os processos que in-fluenciam a localização assimétrica dos órgãos internos, associados a esta doen-ça. De vídeos obtidos por microscopia de alta velocidade do interior da vesí-cula de Kupffer foram analisados 32 cílios, sendo 8 normais e os restantes cílios pertencentes a três alterações genéticas diferentes: subexpressão de Pkd2, so-brexpressão de Arl13b e mutação no gene deltaD. Para cada cílio calculou-se a frequência de batimento e caracterizou-se quantitativamente o movimento. Esta última análise teve como base a segmentação manual do cílio em quatro pontos definindo a base, o meio e a ponta. De seguida, estudou-se a dinâmica de cada uma das rectas constituídas por estas três estruturas ao longo do tempo. Com recurso à análise estatística ANOVA podemos comprovar diferenças no movi-mento entre os cílios alterados quando comparados com os normais. A análise da frequência demonstrou que todos os cílios estudados possu-em uma frequência média 34,9 Hz. Demonstrou-se ainda que, quando compa-rados com cílios normais, os cílios Pkd2 possuem um movimento 60% mais rí-gido, os Alr13b são caracterizados por amplitudes angulares 26% superiores no seu movimento e, por fim, a relação entre as amplitudes base/meio é 23% supe-rior nos cílios Delta D. Para implementar estes estudos, desenvolveu-se uma ferramenta baseada num plugin para ImageJ conjuntamente com códigos em R, que poderá vir a ser utilizada em investigações da discinesia ciliar primária em peixes-zebra.
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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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Conventionally the problem of the best path in a network refers to the shortest path problem. However, for the vast majority of networks present nowadays this solution has some limitations which directly affect their proper functioning, as well as an inefficient use of their potentialities. Problems at the level of large networks where graphs of high complexity are commonly present as well as the appearing of new services and their respective requirements, are intrinsically related to the inability of this solution. In order to overcome the needs present in these networks, a new approach to the problem of the best path must be explored. One solution that has aroused more interest in the scientific community considers the use of multiple paths between two network nodes, where they can all now be considered as the best path between those nodes. Therefore, the routing will be discontinued only by minimizing one metric, where only one path between nodes is chosen, and shall be made by the selection of one of many paths, thereby allowing the use of a greater diversity of the present paths (obviously, if the network consents). The establishment of multi-path routing in a given network has several advantages for its operation. Its use may well improve the distribution of network traffic, improve recovery time to failure, or it can still offer a greater control of the network by its administrator. These factors still have greater relevance when networks have large dimensions, as well as when their constitution is of high complexity, such as the Internet, where multiple networks managed by different entities are interconnected. A large part of the growing need to use multipath protocols is associated to the routing made based on policies. Therefore, paths with different characteristics can be considered with equal level of preference, and thus be part of the solution for the best way problem. To perform multi-path routing using protocols based only on the destination address has some limitations but it is possible. Concepts of graph theory of algebraic structures can be used to describe how the routes are calculated and classified, enabling to model the routing problem. This thesis studies and analyzes multi-path routing protocols from the known literature and derives a new algebraic condition which allows the correct operation of these protocols without any network restriction. It also develops a range of software tools that allows the planning and the respective verification/validation of new protocols models according to the study made.