965 resultados para existing


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Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Doutora Cláudia Maria Ferreira Pereira Lopes

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Dissertação para a obtenção do Grau de Mestre em Contabilidade e Finanças Orientadora: Doutora Cláudia Lopes

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Dissertação de Mestrado em Finanças Empresariais

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Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Mestre Armindo Fernando Sousa Lima

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Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do Grau de Mestre em Auditoria Orientada por Mestre Alcina Portugal Dias

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O Ninho é uma Associação que procura o conhecimento real do fenómeno prostituição, do próprio meio e dos seus agentes, bem como garantir qualidade na intervenção técnica e nas respostas sociais. Assim, o trabalho desenvolvido pelos técnicos objetiva responder aos problemas identificados pelas mulheres prostitutas e colmatar as lacunas nas respostas existentes no que concerne ao fenómeno social prostituição feminina de rua. Este estudo pretende ir ao encontro da maior preocupação associada a esta problemática e, mais especificamente, no caso da prostituição feminina de rua – a preocupação com a inserção social das mulheres. Para a elaboração do presente trabalho foram utilizadas estratégias metodológicas como a observação participante e entrevistas semiestruturadas. Da análise dos resultados verificamos que a prostituição agudiza os estereótipos, preconceitos e o estigma social que tanto marginaliza as mulheres prostituídas. Assim, todo o trabalho técnico realizado n’O Ninho visa promover a autonomia das mulheres, a aquisição de regras e hábitos de trabalho, o cumprimento e definição de objetivos e a posterior procura de emprego. - ABSTRACT O Ninho is an association that seeks the real knowledge of the phenomenon prostitution, of the environment and their agents, as well as ensure quality in technical intervention and social responses. Thus, the work done by the technicians aims to respond to the problems identified by the prostitutes and fill the gaps in the existing responses, concerning to the social phenomenon female prostitution of street. This study intends to respond to the main concern associated with this issue and, more specifically, in the case of female street prostitution – the concern with social inclusion of women. For the preparation of this work, as methodological strategies, we used the participant observation and semi-structured interviews. By the analysis of the results we found that prostitution exacerbates the stereotypes, prejudices and the social stigma that marginalize women forced into prostitution. Thus, all the technical work done at O Ninho aims to promote women's autonomy, rules and work habits acquisition, setting goals and subsequent job search.

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In a liberalized electricity market, the Transmission System Operator (TSO) plays a crucial role in power system operation. Among many other tasks, TSO detects congestion situations and allocates the payments of electricity transmission. This paper presents a software tool for congestion management and transmission price determination in electricity markets. The congestion management is based on a reformulated Optimal Power Flow (OPF), whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the dispatch proposed by the market operator. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The final tariff includes existing system costs and also costs due to the initial congestion situation and losses costs. The paper includes a case study for the IEEE 30 bus power system.

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The use of distributed energy resources, based on natural intermittent power sources, like wind generation, in power systems imposes the development of new adequate operation management and control methodologies. A short-term Energy Resource Management (ERM) methodology performed in two phases is proposed in this paper. The first one addresses the day-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. The ERM scheduling is a complex optimization problem due to the high quantity of variables and constraints. In this paper the main goal is to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixedinteger non-linear programming approach. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units and 1000 electric vehicles has been implemented in a simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior.

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This paper presents an algorithm to efficiently generate the state-space of systems specified using the IOPT Petri-net modeling formalism. IOPT nets are a non-autonomous Petri-net class, based on Place-Transition nets with an extended set of features designed to allow the rapid prototyping and synthesis of system controllers through an existing hardware-software co-design framework. To obtain coherent and deterministic operation, IOPT nets use a maximal-step execution semantics where, in a single execution step, all enabled transitions will fire simultaneously. This fact increases the resulting state-space complexity and can cause an arc "explosion" effect. Real-world applications, with several million states, will reach a higher order of magnitude number of arcs, leading to the need for high performance state-space generator algorithms. The proposed algorithm applies a compilation approach to read a PNML file containing one IOPT model and automatically generate an optimized C program to calculate the corresponding state-space.

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The introduction of new distributed energy resources, based on natural intermittent power sources, in power systems imposes the development of new adequate operation management and control methods. This paper proposes a short-term Energy Resource Management (ERM) methodology performed in two phases. The first one addresses the hour-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. Both phases consider the day-ahead resource scheduling solution. The ERM scheduling is formulated as an optimization problem that aims to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixed-integer non-linear programming approach and by a heuristic approach based on genetic algorithms. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units has been implemented in a PSCADbased simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior.

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Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi- Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted.

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A manufacturing system has a natural dynamic nature observed through several kinds of random occurrences and perturbations on working conditions and requirements over time. For this kind of environment it is important the ability to efficient and effectively adapt, on a continuous basis, existing schedules according to the referred disturbances, keeping performance levels. The application of Meta-Heuristics and Multi-Agent Systems to the resolution of this class of real world scheduling problems seems really promising. This paper presents a prototype for MASDScheGATS (Multi-Agent System for Distributed Manufacturing Scheduling with Genetic Algorithms and Tabu Search).

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Congestion management of transmission power systems has achieve high relevance in competitive environments, which require an adequate approach both in technical and economic terms. This paper proposes a new methodology for congestion management and transmission tariff determination in deregulated electricity markets. The congestion management methodology is based on a reformulated optimal power flow, whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the transactions resulting from market operation. The proposed transmission tariffs consider the physical impact caused by each market agents in the transmission network. The final tariff considers existing system costs and also costs due to the initial congestion situation and losses. This paper includes a case study for the 118 bus IEEE test case.

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Mestrado em Medicina Nuclear. Área de especialização: Radiofarmácia.

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Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação, Especialidade em Educação Artística – Teatro na Educação