CVD of CrO(2): Towards a lower temperature deposition process

The deposition of highly oriented a-axis CrO(2) films onto Al(2)O(3)(0001) by atmospheric pressure (AP)CVD at temperatures as low as 330 C is reported. Deposition rates strongly depend on the substrate temperature, whereas for film surface microstructures the dependence is mainly on film thickness. For the experimental conditions used in this work, CrO(2) growth kinetics are dominated by a surface reaction mechanism with an apparent activation energy of (121.0 +/- 4.3) kJ mol(-1). The magnitude and temperature dependence of the saturation magnetization, up to room temperature, is consistent with bulk measurements.

Higienização de utensílios alimentares em estabelecimentos de ensino pré-escolar: um estudo em duas instituições de ensino

A transmissão de microrganismos patogénicos pode ocorrer através da sua presença em resíduos de alimentos ou água depositados sobre os utensílios que se encontram em deficientes condições de higienização. Para que seja assegurada a higiene alimentar torna-se essencial a conservação e higienização dos utensílios, desempenhando os manipuladores de alimentos um papel determinante no que diz respeito à execução de um eficaz protocolo de higienização, uma correcta manipulação e a adopção de normas higiénicas que evitem a contaminação dos utensílios. Da totalidade das amostras realizadas aos utensílios alimentares provenientes das duas instituições de ensino pré-escolar analisados neste estudo, 27% encontravam-se contaminadas e num insuficiente estado de higienização devido à presença de microrganismos mesófilos aeróbios a 30ºC em número superior a 100 UFC/peça. Foi verificado a presença de fungos e a pesquisa positiva de enterobactérias e bactérias presumíveis de E. coli. Em ambos os estabelecimentos de ensino, os utensílios constituídos por material plástico apresentaram níveis de contaminação na generalidade superiores em relação aos constituídos por aço inoxidável. O tipo de material e o estado dos utensílios são também aspectos relevantes que podem influenciar o processo de adesão microbiana e consequente formação de biofilme, pelo que na aquisição dos utensílios devem ser consideradas as características inerentes aos diferentes materiais, devendo os mesmos ser substituídos periodicamente devido ao desgaste causado pelo seu frequente uso. Para além disso, os utensílios devem passar constantemente por uma avaliação microbiológica para controlo da eficiência do processo de higienização, contribuindo para a garantia da higiene alimentar e segurança do alimento. A garantia da higiene alimentar constitui uma base importante em idades de maior vulnerabilidade.

O risco do custo e do tempo no escanamento de projetos

Dissertação apresentada ao Instituto Politécnico do Porto para obtenção do Grau de Mestre em Logística Orientada por: Prof. Dr. Pedro Godinho

Estágio no Departamento Financeiro do Município de Penafiel

Relatório de estágio para obtenção do grau de mestre em Finanças Empresariais

Fatores influenciadores da gestão da qualidade e independência do auditor: um estudo de caso

Dissertação apresentada ao Instituto Superior de Contabilidade para obtenção do Grau de Mestre em Auditoria Orientada por: Doutora Alcina Dias

IOPT Petri Net State Space Generation Algorithm with Maximal-Step Execution Semantics

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.

An integrated approach for distributed energy resource short term scheduling in smart grids considering realistic power system simulation

The large increase of distributed energy resources, including distributed generation, storage systems and demand response, especially in distribution networks, makes the management of the available resources a more complex and crucial process. With wind based generation gaining relevance, in terms of the generation mix, the fact that wind forecasting accuracy rapidly drops with the increase of the forecast anticipation time requires to undertake short-term and very short-term re-scheduling so the final implemented solution enables the lowest possible operation costs. This paper proposes a methodology for energy resource scheduling in smart grids, considering day ahead, hour ahead and five minutes ahead scheduling. The short-term scheduling, undertaken five minutes ahead, takes advantage of the high accuracy of the very-short term wind forecasting providing the user with more efficient scheduling solutions. The proposed method uses a Genetic Algorithm based approach for optimization that is able to cope with the hard execution time constraint of short-term scheduling. Realistic power system simulation, based on PSCAD , is used to validate the obtained solutions. The paper includes a case study with a 33 bus distribution network with high penetration of distributed energy resources implemented in PSCAD .

Estudo da percepção dos problemas de usabilidade de um software relacionados com o desempenho dos processos cognitivos

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e Multimédia.

Cost dependent strategy for electricity markets bidding based on adaptive reinforcement learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM provides several dynamic strategies for agents’ behavior. This paper presents a method that aims to provide market players with strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible bids. These bids are defined accordingly to the cost function that each producer presents.

A data-mining-based methodology for transmission expansion planning

In recent decades, all over the world, competition in the electric power sector has deeply changed the way this sector’s agents play their roles. In most countries, electric process deregulation was conducted in stages, beginning with the clients of higher voltage levels and with larger electricity consumption, and later extended to all electrical consumers. The sector liberalization and the operation of competitive electricity markets were expected to lower prices and improve quality of service, leading to greater consumer satisfaction. Transmission and distribution remain noncompetitive business areas, due to the large infrastructure investments required. However, the industry has yet to clearly establish the best business model for transmission in a competitive environment. After generation, the electricity needs to be delivered to the electrical system nodes where demand requires it, taking into consideration transmission constraints and electrical losses. If the amount of power flowing through a certain line is close to or surpasses the safety limits, then cheap but distant generation might have to be replaced by more expensive closer generation to reduce the exceeded power flows. In a congested area, the optimal price of electricity rises to the marginal cost of the local generation or to the level needed to ration demand to the amount of available electricity. Even without congestion, some power will be lost in the transmission system through heat dissipation, so prices reflect that it is more expensive to supply electricity at the far end of a heavily loaded line than close to an electric power generation. Locational marginal pricing (LMP), resulting from bidding competition, represents electrical and economical values at nodes or in areas that may provide economical indicator signals to the market agents. This article proposes a data-mining-based methodology that helps characterize zonal prices in real power transmission networks. To test our methodology, we used an LMP database from the California Independent System Operator for 2009 to identify economical zones. (CAISO is a nonprofit public benefit corporation charged with operating the majority of California’s high-voltage wholesale power grid.) To group the buses into typical classes that represent a set of buses with the approximate LMP value, we used two-step and k-means clustering algorithms. By analyzing the various LMP components, our goal was to extract knowledge to support the ISO in investment and network-expansion planning.

Transmission cost allocation using cooperative game theory: a comparative study

In this paper is presented a Game Theory based methodology to allocate transmission costs, considering cooperation and competition between producers. As original contribution, it finds the degree of participation on the additional costs according to the demand behavior. A comparative study was carried out between the obtained results using Nucleolus balance and Shapley Value, with other techniques such as Averages Allocation method and the Generalized Generation Distribution Factors method (GGDF). As example, a six nodes network was used for the simulations. The results demonstrate the ability to find adequate solutions on open access environment to the networks.

Dgenco market balancing - cost repartition under light regulation markets

In this paper we present a new methodology, based in game theory, to obtain the market balancing between Distribution Generation Companies (DGENCO), in liberalized electricity markets. The new contribution of this methodology is the verification of the participation rate of each agent based in Nucléolo Balancing and in Shapley Value. To validate the results we use the Zaragoza Distribution Network with 42 Bus and 5 DGENCO.

Self-organization for scheduling in agile manufacturing

Agility refers to the manufacturing system ability to rapidly adapt to market and environmental changes in efficient and cost-effective ways. This paper addresses the development of self-organization methods to enhance the operations of a scheduling system, by integrating scheduling system, configuration and optimization into a single autonomic process requiring minimal manual intervention to increase productivity and effectiveness while minimizing complexity for users. We intend to conceptualize real manufacturing systems as interacting autonomous entities in order to build future Decision Support Systems (DSS) for Scheduling in agile manufacturing environments.

Ética e responsabilidade social das organizações perante os Técnicos Oficiais de Contas

Mestrado em Contabilidade

Reabilitação de edifícios de habitação no Bairro da Mouraria em Lisboa

A Reabilitação Urbana é uma preocupação que afeta a maioria dos municípios portugueses. A degradação nosso património edificado da nossa memória, principalmente nos centros históricos, tornou-se um problema que urge resolver rapidamente. Na conjuntura que o país atravessa, com o excesso de construção nova que nos últimos anos inundou o mercado, a reabilitação assume-se como uma opção para a indústria da construção civil. No caso do Bairro da Mouraria, o esforço que o município tem vindo a desenvolver, que implica grandes investimentos e grande esforço financeiro, no difícil contexto económico do país, assume maior relevância. Esta dissertação debruça-se sobre o caminho percorrido, as condicionantes das soluções de projeto e do investimento na reabilitação no Bairro da Mouraria. E sobre os aspetos que envolvem esta atividade e conferem à recuperação do edificado um carácter especial, pois trata-se de um tipo de obra que se reveste de alguma imprevisibilidade, que pode mesmo levar a custos adicionais e à inviabilidade dos investimentos. O que justifica que para este tipo de obras tenha de haver uma atenção redobrada desde a fase do levantamento do edificado, das suas patologias, das obras a realizar, das soluções arquitetónicas e técnicas a adotar, passando pela fase de licenciamento do projeto, até à recuperação física dos edifícios. Pretende-se, também, apresentar algumas situações típicas de reabilitação de edifícios antigos, aprofundando-se as questões técnicas sobre as patologias mais correntes, a viabilidade económica das operações e enquadrando os principais fatores que têm retardado o processo.