8 resultados para UDK:615

em Instituto Politécnico do Porto, Portugal


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7º Congresso Nacional da Administração Pública: “Estado e Administração na Resposta à Crise” FIL, Lisboa, Portugal 10 e 11 de Novembro de 2009

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Mathematical Program with Complementarity Constraints (MPCC) finds applica- tion in many fields. As the complementarity constraints fail the standard Linear In- dependence Constraint Qualification (LICQ) or the Mangasarian-Fromovitz constraint qualification (MFCQ), at any feasible point, the nonlinear programming theory may not be directly applied to MPCC. However, the MPCC can be reformulated as NLP problem and solved by nonlinear programming techniques. One of them, the Inexact Restoration (IR) approach, performs two independent phases in each iteration - the feasibility and the optimality phases. This work presents two versions of an IR algorithm to solve MPCC. In the feasibility phase two strategies were implemented, depending on the constraints features. One gives more importance to the complementarity constraints, while the other considers the priority of equality and inequality constraints neglecting the complementarity ones. The optimality phase uses the same approach for both algorithm versions. The algorithms were implemented in MATLAB and the test problems are from MACMPEC collection.

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En los últimos años presenciamos profundas alteraciones en la relación trabajo/ tiempo libre. El proceso de globalización, las alteraciones económicas y sociales produjeron cambios en las estructuras sociales, en el trabajo y en la forma como los individuos ocupan su tiempo libre. Estas transformaciones tuvieron un impacto indeleble en la organización del trabajo, con consecuencias a nivel de las exigencias colocadas a los trabajadores; éstos se vieron obligados a adaptarse a medios cada vez más exigentes, estresantes y en constante mutación. Al mismo tiempo, muchos trabajadores vieron que aumentaba su jornada de trabajo y disminuían los períodos de descanso, dejando poco tiempo para la recuperación de las presiones a que estuvieron sujetos a lo largo de la jornada laboral.

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Constraints nonlinear optimization problems can be solved using penalty or barrier functions. This strategy, based on solving the problems without constraints obtained from the original problem, have shown to be e ective, particularly when used with direct search methods. An alternative to solve the previous problems is the lters method. The lters method introduced by Fletcher and Ley er in 2002, , has been widely used to solve problems of the type mentioned above. These methods use a strategy di erent from the barrier or penalty functions. The previous functions de ne a new one that combine the objective function and the constraints, while the lters method treat optimization problems as a bi-objective problems that minimize the objective function and a function that aggregates the constraints. Motivated by the work of Audet and Dennis in 2004, using lters method with derivative-free algorithms, the authors developed works where other direct search meth- ods were used, combining their potential with the lters method. More recently. In a new variant of these methods was presented, where it some alternative aggregation restrictions for the construction of lters were proposed. This paper presents a variant of the lters method, more robust than the previous ones, that has been implemented with a safeguard procedure where values of the function and constraints are interlinked and not treated completely independently.

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Introdução: A atividade física (AF) parece ter um impacto positivo na saúde física e mental durante a gravidez, nascimento e puerpério, sendo que os programas de preparação para a parentalidade (PPP) poderão ser fundamentais para o seu suporte e estimulação. Objetivos: O objetivo do presente estudo foi avaliar a relação entre a preparação para a parentalidade no 3º trimestre de gravidez e os níveis de AF da gestante. Especificamente pretendeu-se verificar a relação entre as caraterísticas sociodemográficas das gestantes, os níveis de ansiedade e o PPP. Métodos: Efetuou-se um estudo transversal analítico onde se utilizaram duas amostras. Uma constituída por 42 gestantes que frequentaram o PPP no CHTS (GPP) e outra por 41 gestantes do HSJ que não frequentou (GNPP). A cada gestante foi pedido que preenchessem 3 questionários (caraterização sociodemográfica e saúde obstétrica, Questionário de Atividade Física para gestantes-PPAQ e Escala de ansiedade de Zung), administrados, individualmente, por um Fisioterapeuta. Resultados: Não se verificaram diferenças entre os grupos relativamente ao score da AF total (p=0,615), contudo, o GPP apresentou um número superior de gestantes que praticava desporto organizado durante a gravidez (p=0,016) comparativamente ao GNPP. Relativamente à intensidade da AF, verificou-se que o GPP apresentava uma prática maior de AF vigorosa (p=0,023). No que diz respeito ao tipo de AF, o GPP apresentou um número superior de gestantes a praticar AF desportiva (p<0,001) enquanto no GNPP se verificou uma maior AF ocupacional (p=0,002). Relativamente às caraterísticas sociodemográficas verificaram-se diferenças estatisticamente significativas entre os dois grupos relativamente à idade (p<0,001), paridade (p<0,001) e nível educacional (p<0,001). No que respeita aos níveis de ansiedade não se verificaram diferenças estatisticamente significativas entre os grupos (GPP vs GNPP p=0,916). Conclusão: No GPP um maior número de gestantes praticava atividade física desportiva e de intensidade vigorosa. Verificaram-se diferenças entre os dois grupos no que diz respeito à idade, paridade e nível educacional. Não se verificou associação entre o PPP e os níveis de ansiedade durante este período.

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O Microsoft Excel é uma ferramenta incontornável, quer seja utilizado em ambiente profissional, académico ou a título pessoal, sendo a folha de cálculo dominante no mercado. O novo Excel 2013 funciona em diversas plataformas: computadores, smartphones, tablets, na nuvem (cloud), e até mesmo em computadores que não têm o Office instalado, através do Office 365. Com uma ligação à Internet é agora possível aceder às suas folhas de cálculo independentemente da sua localização ou do tipo de dispositivo que estiver a utilizar. Poderá ainda trabalhar em modo off-line, sincronizando os seus dados com a sua pasta na Cloud quando tiver acesso à Internet. Este livro propõe-se contribuir para um maior conhecimento das potencialidades do novo Excel, destinando-se a todos aqueles que pretendam iniciar-se nas folhas de cálculo ou ampliar os seus conhecimentos sobre o Excel 2013. Mesmo aqueles que já utilizam o Excel há alguns anos poderão encontrar neste livro inúmeras dicas que os ajudarão a otimizar o seu trabalho e a executar algumas tarefas de forma mais rápida e eficiente! O livro baseia-se em exemplos passo-a-passo, ilustrados a cores, que guiam o utilizador na execução decifrada de cada procedimento. Ao longo deste livro são abordados diversos temas, tais como: • Formatar dados e tabelas • Gerir, configurar e imprimir folhas de dados • Elaborar gráficos • Utilizar fórmulas de cálculo e funções incorporadas • Gerir e organizar listas de dados: filtrar, agrupar, importar e exportar dados • Elaborar tabelas e gráficos dinâmicos • Análise de hipóteses: tabelas de simulação, gerir cenários, atingir objetivo • Análise de dados com a ferramenta Solver • Rever, comentar e registar alterações em folhas de cálculo • Proteger dados e partilhar folhas de cálculo • Adicionar e utilizar serviços Cloud: SkyDrive, Google Drive, Dropbox • Partilhar em redes sociais • Apps para o Excel: a Office Store

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Currently, due to the widespread use of computers and the internet, students are trading libraries for the World Wide Web and laboratories with simulation programs. In most courses, simulators are made available to students and can be used to proof theoretical results or to test a developing hardware/product. Although this is an interesting solution: low cost, easy and fast way to perform some courses work, it has indeed major disadvantages. As everything is currently being done with/in a computer, the students are loosing the “feel” of the real values of the magnitudes. For instance in engineering studies, and mainly in the first years, students need to learn electronics, algorithmic, mathematics and physics. All of these areas can use numerical analysis software, simulation software or spreadsheets and in the majority of the cases data used is either simulated or random numbers, but real data could be used instead. For example, if a course uses numerical analysis software and needs a dataset, the students can learn to manipulate arrays. Also, when using the spreadsheets to build graphics, instead of using a random table, students could use a real dataset based, for instance, in the room temperature and its variation across the day. In this work we present a framework which uses a simple interface allowing it to be used by different courses where the computers are the teaching/learning process in order to give a more realistic feeling to students by using real data. A framework is proposed based on a set of low cost sensors for different physical magnitudes, e.g. temperature, light, wind speed, which are connected to a central server, that the students have access with an Ethernet protocol or are connected directly to the student computer/laptop. These sensors use the communication ports available such as: serial ports, parallel ports, Ethernet or Universal Serial Bus (USB). Since a central server is used, the students are encouraged to use sensor values results in their different courses and consequently in different types of software such as: numerical analysis tools, spreadsheets or simply inside any programming language when a dataset is needed. In order to do this, small pieces of hardware were developed containing at least one sensor using different types of computer communication. As long as the sensors are attached in a server connected to the internet, these tools can also be shared between different schools. This allows sensors that aren't available in a determined school to be used by getting the values from other places that are sharing them. Another remark is that students in the more advanced years and (theoretically) more know how, can use the courses that have some affinities with electronic development to build new sensor pieces and expand the framework further. The final solution provided is very interesting, low cost, simple to develop, allowing flexibility of resources by using the same materials in several courses bringing real world data into the students computer works.

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Teaching robotics to students at the beginning of their studies has become a huge challenge. Simulation environments can be an effective solution to that challenge where students can interact with simulated robots and have the first contact with robotic constraints. From our previous experience with simulation environments it was possible to observe that students with lower background knowledge in robotics where able to deal with a limited number of constraints, implement a simulated robotic platform and study several sensors. The question is: after this first phase what should be the best approach? Should the student start developing their own hardware? Hardware development is a very important part of an engineer's education but it can also be a difficult phase that could lead to discouragement and loss of motivation in some students. Considering the previous constraints and first year engineering students’ high abandonment rate it is important to develop teaching strategies to deal with this problem in a feasible way. The solution that we propose is the integration of a low-cost standard robotic platform WowWee Rovio as an intermediate solution between the simulation phase and the stage where the students can develop their own robots. This approach will allow the students to keep working in robotic areas such as: cooperative behaviour, perception, navigation and data fusion. The propose approach proved to be a motivation step not only for the students but also for the teachers. Students and teachers were able to reach an agreement between the level of demand imposed by the teachers and satisfaction/motivation of the students.