Hidrologia, recursos hídricos e ambiente: aulas práticas

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Solução de extração e visualização de dados SAP - Via remota

Nowadays, it is common to deal with large amounts of information which makes the software used to manage and visualize this information, increasingly important for small, medium and large companies. Due to this growing need to deal with large amounts of data, various financial management and business intelligence software appear, such as SAGE, which is widely used in Portugal, Pentaho which was approached in the classes of decision support systems, the SAP system, which is addressed in this thesis, and on which the data extractor is developed, with the help of the Visual Studio WindowsForms. This thesis focuses on the creation of an extractor that aims to extract large amounts of information from the SAP system and present this information to any user who has the appropriate accesses. It is intended that a person who is unaware, of the ABAP programming language, or the way in which this information is researched within the SAP environment, can obtain this information using the data extractor. In order to give more context to the reader of how the SAP system works and the data extractor, it is possible to see in chapter four, the system architecture with a brief explanation of how the system extracts said information, it is also possible to visualize a sequence diagram that helps the reader, understand the user's interactions with the extractor by using the methods necessary for obtaining and processing data. In the tests done to the extractor it is possible to identify the amount of time required to log in to the application, to perform tables lookups, the time required to obtain the fields of a selected table, you can also identify the differences of time between a search with filters and one without filters, and by testing the export methods, it is possible to identify which is the fastest.Nos dias de hoje, é comum lidar com um enorme e variadíssimo leque de informação o que faz com que o software utilizado para gerir e veicular a visualização desta informação, seja cada vez mais relevante para pequenas, médias e grandes empresas. Devido a esta crescente e progressiva necessidade de proceder ao tratamento de grandes volumes de dados, surgiram diversos softwares de gestão financeira e de inteligência de negócios, tais como a SAGE - que é muito utilizada em Portugal, o Pentaho - o qual foi abordado nas aulas de Sistemas de Apoio à Decisão, e o sistema SAP, o qual é abordado nesta tese, e sobre o qual é desenvolvido o extrator de dados, com o auxílio da plataforma .NET da Microsoft. Esta tese foca-se na criação de um extrator que tem como objetivo efetuar, tal como o nome indica, a extração de grandes quantidades de informação do sistema SAP, e apresentar esta informação a qualquer utilizador que possua os devidos acessos. Pretende-se que uma pessoa que desconheça a linguagem de programação ABAP, ou a forma como esta informação é pesquisada dentro do ambiente SAP, seja capaz de aceder à mesma através da utilização do extrator de dados. De forma a dar mais algum contexto ao leitor acerca de como funciona o sistema SAP e o extrator de dados, exploramos, ao longo do capítulo quatro, a arquitetura do sistema com uma breve explicação de como este procede à obtenção de informação; no âmbito destes considerandos, é possível também visualizar um diagrama de sequência que ajuda a compreender as interações do utilizador com o extrator, através da utilização dos métodos necessários para a obtenção e tratamento de dados. Ao longo dos testes efetuados ao extrator, é possível identificar o tempo necessário para efetuar o login na aplicação, efetuar pesquisas de tabelas, apurar o intervalo necessário para obtenção dos campos de uma tabela selecionada, identificar as diferenças de tempo entre uma pesquisa com filtros e uma sem filtros, e através dos testes aos métodos de exportação, torna-se possível identificar qual o mais rápido

Hidráulica: aulas teóricas

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Hidrologia, recursos hídricos e ambiente: aulas teóricas

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Análise e visualização de resultados de eventos desportivos

Hoje em dia é habitual lidar-se com enormes quantidades de informação, fazendo com que a área da análise e visualização de dados tenha um papel fundamental. O seu princípal objetivo consiste na comunicação clara e intuitiva, promovendo a compreensão sobre um conjunto complexo de dados. Em eventos desportivos, como as provas de Trail Running, estas áreas são fundamentais, sendo que nos últimos anos têm ganho cada vez mais importância. Os principais desafios neste tipo de sistemas são: recolher e apresentar, de forma correcta, os resultados, de preferência em tempo (quase) real; apoiar a organização em manter a segurança de todos os atletas e dos voluntários ao longo de todos os pontos das provas; detetar possíveis irregularidades desportivas por parte dos atletas na prova; e, a geração de listagens com as classificações, e outras, logo após o término da prova. O foco deste trabalho foi a extensão de uma plataforma já existente com os dados, redefinindo todo o processo de geração de listagens, ou seja, da lista de inscritos, classificações, entre outras, e construíndo de raiz os componentes com informações acerca da prova, nomeadamente a visualização do percurso das provas, componentes de estatística e de resultados. Os testes foram feitos ao longo de várias provas, e através destas iterações foi possível fazer melhorias e correções à plataforma. Estes testes consistiram na medição da quantidade de tráfego que foi gerado, identificando as componentes mais utilizadas pelos utilizadores, e através do feedback do público, por intermédio de um inquérito, cujo objectivo foi saber se a plataforma cumpria com as expectivas dos utilizadores. A partir dos testes efetuados à plataforma e do feedback recebido do público, é possível concluir que a plataforma funcionou correctamente e correspondeu às expectativas.Nowadays it is usual to deal with large amounts of information, making the data analysis and visualization area have a fundamental role. It’s main goal is the clean and intuitive communication, promoting the understanding of a complex set of data. At sporting events, these areas are fundamental and in recent years have gained importance. Trail Running events are composed of courses that can exceed 100 km, passing through several points control where athlete’s times are registered by the organization’s staff. The main goals of this system are: collect and present, correctly, results in (almost) real time; help maintain the security of all the athletes and volunteers along all points of the event; detect possible sports irregularities by athletes in the race; and, generaring listing with ratings, and others, right after the end of the race. In this work a platform was extended, in particular the area visualization, redefining the entire process of generating listings, i.e. the entry list, ratings, among others, and constructing from scratch with components that make available information about the race in particular the view of the course, the statisctical components and results. The tests were performed over several events, and through these iterations was possible to make improvements and fixes to the platform. These tests consisted in measuring the amount of traffic thas has been generated by identifying the most frequently used components by users, and through the public feedback, through a survey whose purpose was know if the platform has fulfilled with users expectations. From the tests carried out on the platform and the feedback received from the public, it can be concluded that the platform worked properly and met the expectations

I Congresso Internacional em Planeamento Sustentável e Ordenamento Territorial: resumos do Congresso

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Recent Developments in the Applications of Fingerprinting Technology in the Food Field

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The use of game modes to promote engagement and social involvement in multi-user serious games: a within-person randomized trial with stroke survivors

Serious games are promising for stroke rehabilitation, with studies showing a positive impact on reducing motor and cognitive defcits. However, most of the evidence is in the context of single-user rehabilitation, and little is known concerning the impact in multi-user settings. This study evaluates the impact that diferent game modes can have on engagement and social involvement during a two-user game. Specifcally, we want to under stand the benefts of game modalities based on competition, co-activation, and collaboration and analyze the infu ence of diferent motor and cognitive defcits and personality traits. Methods: We developed a two-player setup—using tangible objects and a large screen interactive table—for upper limb rehabilitation purposes. We implemented a game that, while keeping the same basic mechanics, can be played in the three diferent modes (Competitive, Co-active, and Collaborative). We ran a within-person randomized study with 21 stroke survivors that were paired and played the game in its three versions. We used the Game Experi ence Questionnaire—Core Module to assess engagement and the Social Presence Module to assess Social Involve ment. For personality, motor, and cognitive function, users answered the International Personality Item Pool (short version), Fugl-Meyer Assessment—Upper Extremity, Modifed Ashworth Scale, and Montreal Cognitive Assessment, respectively. Results: The Collaborative mode promoted signifcantly more Behavioral Involvement. The Competitive mode pro moted more Flow and Challenge than the Co-active mode with participants with better cognitive performance, with low extraversion, or with higher motor skills. Participants with higher cognitive defcits reported more Competence with the Co-active mode. Conclusions: Our results indicate that, for multi-user motor rehabilitation settings, the collaborative mode is the more appropriate gaming approach to promote social involvement, showing a high potential for increasing adher ence and efectiveness of therapy. Additionally, we show that a player’s motor and cognitive ability and personality should be considered when designing personalized tasks for multiplayer settings.info:eu-repo/semantics/publishedVersio

Measured and perceived physical responses in multidimensional fitness training through exergames in older adults

Exergames have been used to increase physical activity levels to produce health benefits in older adults. However, only a small number of studies have quantified the physical activity levels produced by custom-made Exergames and their capacity to elicit recommended levels of exercise. This study investigates the effectiveness of custom-made Exergames, designed for multidimensional fitness training, in eliciting recommended levels of exercise. We rely on both objective (accelerometry) and subjective (perceived exertion) information collected in two different modalities of exercise, consisting of 40- minutes sessions: Exergaming and conventional training (Control). A between-subjects analysis was done involving two groups of active older adults (n=33). Participants in the Control Between condition performed physical activity in conventional group fitness training, while the intervention group used individualized Exergaming as training modality. In addition, a sub-group of the Exergaming participants also performed a conventional training session (Control-Within), which enabled a within-subjects comparison. Results show that participants spent significantly more time in moderate-to-vigorous intensities during Exergaming, interestingly, perceiving significantly lower exertion levels. The between-subjects analysis only presented statistically significant differences for the perceived exertion scale. This study helps to unveil the impact of custom-made Exergames in physical activity levels during training when compared to conventional training for the older adult population.info:eu-repo/semantics/publishedVersio