16 resultados para EVALUATION PROCESS
em Repositório Científico do Instituto Politécnico de Lisboa - Portugal
Resumo:
O objectivo da presente dissertação é o estudo e desenvolvimento de um modelo de avaliação de imóveis históricos: os edifícios classificados como Monumentos Nacionais - “MN”, os Imóveis de Interesse Público - “IIP”, os imóveis de Interesse Municipal - “IIM”, e todos os imóveis cuja arquitectura e história os façam distinguir pela sua singularidade e marco, enquanto memória a preservar. A investigação realizada, permitiu compreender a forma, como são actualmente avaliados os imóveis históricos. A pesquisa incidiu no património edificado nacional, considerando as respectivas características, que os definem como imóveis a preservar. Foi observado um conjunto de imóveis classificados pelo Estado, e enfatizados os conceitos de arquitectura, história e património, considerados como parte essencial do processo de avaliação. O estado de negligência, em Portugal, a que está votado parte significativa do património edificado, com raras excepções, foi igualmente focado, analisando-se as razões desta situação. Realizou-se a aplicação do Método do Custo de Reprodução a um edifício classificado como Monumento Nacional, e actualmente em estado devoluto, o “Forte de Nossa Senhora da Graça”, localizado em Elvas. Os resultados obtidos, foram comparados através da aplicação do Método de Actualização das Rendas Futuras, por seriação de critérios e pela análise dos valores obtidos. Os métodos de avaliação utilizados foram comparados entre si, procurando-se estabelecer um modelo baseado em critérios de avaliação, que revele o impacto histórico e arquitectónico, numa perspectiva social. Foram expostas as premissas nas quais assentam este tipo de avaliações imobiliárias e retiradas conclusões sobre os resultados obtidos.
Resumo:
Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção do grau de Mestre em Ciências da Educação - Especialização em Supervisão em Educação
Resumo:
Os Projectos de Investimento desempenham um importante papel no crescimento económico-social dos países, proporcionando emprego e desenvolvimento tecnológico. Na óptica dos projectos inovadores, concretamente no sector das energias renováveis, acarretam elevados investimentos, numa base temporal de longo prazo. Nestes casos as decisões estratégicas assumem um papel determinante, assim, o principal objectivo desta dissertação é a utilização das Opções Reais como métrica de avaliação dos projectos de investimento. A análise e avaliação dos projectos implica em si incerteza nas previsões, desta forma, as Opções Reais minimizam o risco associado à incerteza através da inclusão da flexibilidade no processo de avaliação. A primeira parte da dissertação consiste na contextualização energética mundial e nacional, ao nível da energia primária e das energias renováveis, com incidência na energia eólica. A segunda consiste na introdução teórica dos projectos de investimento e dos conceitos inerentes às Opções Financeiras e às Opções Reais. Por último, apresenta-se um caso de estudo de construção de três parques eólicos e as consequentes decisões de investimento concluindo que os modelos de avaliação das Opções Reais proporcionam alternativas e interdependência em investimentos futuros.
Resumo:
Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação - Especialização Supervisão em Educação
Resumo:
Mestrado em Controlo de Gestão e dos Negócios
Resumo:
Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação - Especialidade Supervisão em Educação
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Dissertação de natureza Científica para obtenção do grau de Mestre em Engenharia Civil
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Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Educação Especial, domínio Cognição e Multideficiência
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Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Supervisão em Educação
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Mestrado em Contabilidade e Gestão das Instituições Financeiras
Resumo:
In this paper, we introduce an innovative course in the Portuguese Context, the Master's Course in “Integrated Didactics in Mother Tongue, Maths, Natural and Social Sciences”, taking place at the Lisbon School of Education and discussing in particular the results of the evaluation made by the students who attended the Curricular Unit - Integrated Didactics (CU-ID). This course was designed for in-service teachers of the first six years of schooling and intends to improve connections between different curriculum areas. In this paper, we start to present a few general ideas about curriculum development; to discuss the concept of integration; to present the principles and objectives of the course created as well as its structure; to describe the methodology used in the evaluation process of the above mentioned CU-ID. The results allow us to state that the students recognized, as positive features of the CU-ID, the presence in all sessions of two teachers simultaneously from different scientific areas, as well as invitations issued to specialists on the subject of integration and to other teachers that already promote forms of integration in schools. As negative features, students noted a lack of integrated purpose, applying simultaneously the four scientific areas of the course, and also indicated the need to be familiar with more models of integrated education. Consequently, the suggestions for improvement derived from these negative features. The students also considered that their evaluation process was correct, due to the fact that it was focused on the design of an integrated project for one of the school years already mentioned.
Resumo:
Several antineoplasic drugs have been demonstrated to be carcinogenic or to have mutagenic and teratogenic effects. The greatest protection is achieved with the implementation of administrative and engineering controls and safety procedures. Objective: to evaluate the improvements on pharmacy technicians' work practices, after the implementation of operational procedures related to individual protection, biologic safety cabinet disinfection and cytotoxic drug preparation. Method: case-study in a hospital pharmacy undergoing a certification process. Six pharmacy technicians were observed during their daily activities. Characterization of the work practices was made using a checklist based on ISOPP and PIC guidelines. The variables studied concerning cleaning/disinfection procedures, personal protective equipment and procedures for preparing cytotoxic drugs. The same work practices were evaluated after four months of operational procedures implementation. Concordance between work practices and guidelines was considered to be a quality indicator (guidelines concordance practices number/total number of practices x 100). Results: improvements were observed after operational procedures implementation. An improvement of 6,25% in personal protective equipment practice was achieved by changing second pair of gloves every thirty minutes. The major progress, 10%, was obtained in disinfection procedure, where 80% of tasks are now realized according to guidelines.By now, we hot an improvement of only 1% at drug preparation procedure by placing one cytotoxic drug at a time inside the biological safety cabinet. Then, 85% of practices are according to guidelines. Conclusion: before operational procedures implementation 80,3% of practices were according to the guidelines, while now is 84,4%. This indicates that is necessary to review the procedures frequently in the benefit to reduce the risks associated with handling cytotoxic drugs and maintenance of drug specifications.
Resumo:
In the last decade, local image features have been widely used in robot visual localization. To assess image similarity, a strategy exploiting these features compares raw descriptors extracted from the current image to those in the models of places. This paper addresses the ensuing step in this process, where a combining function must be used to aggregate results and assign each place a score. Casting the problem in the multiple classifier systems framework, we compare several candidate combiners with respect to their performance in the visual localization task. A deeper insight into the potential of the sum and product combiners is provided by testing two extensions of these algebraic rules: threshold and weighted modifications. In addition, a voting method, previously used in robot visual localization, is assessed. All combiners are tested on a visual localization task, carried out on a public dataset. It is experimentally demonstrated that the sum rule extensions globally achieve the best performance. The voting method, whilst competitive to the algebraic rules in their standard form, is shown to be outperformed by both their modified versions.
Resumo:
Workflows have been successfully applied to express the decomposition of complex scientific applications. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from tasks specification, decentralizing the control of workflow activities allowing their tasks to run in distributed infrastructures, and supporting dynamic workflow reconfigurations. We present the AWARD (Autonomic Workflow Activities Reconfigurable and Dynamic) model of computation, based on Process Networks, where the workflow activities (AWA) are autonomic processes with independent control that can run in parallel on distributed infrastructures. Each AWA executes a task developed as a Java class with a generic interface allowing end-users to code their applications without low-level details. The data-driven coordination of AWA interactions is based on a shared tuple space that also enables dynamic workflow reconfiguration. For evaluation we describe experimental results of AWARD workflow executions in several application scenarios, mapped to the Amazon (Elastic Computing EC2) Cloud.
Resumo:
In the last decade, local image features have been widely used in robot visual localization. In order to assess image similarity, a strategy exploiting these features compares raw descriptors extracted from the current image with those in the models of places. This paper addresses the ensuing step in this process, where a combining function must be used to aggregate results and assign each place a score. Casting the problem in the multiple classifier systems framework, in this paper we compare several candidate combiners with respect to their performance in the visual localization task. For this evaluation, we selected the most popular methods in the class of non-trained combiners, namely the sum rule and product rule. A deeper insight into the potential of these combiners is provided through a discriminativity analysis involving the algebraic rules and two extensions of these methods: the threshold, as well as the weighted modifications. In addition, a voting method, previously used in robot visual localization, is assessed. Furthermore, we address the process of constructing a model of the environment by describing how the model granularity impacts upon performance. All combiners are tested on a visual localization task, carried out on a public dataset. It is experimentally demonstrated that the sum rule extensions globally achieve the best performance, confirming the general agreement on the robustness of this rule in other classification problems. The voting method, whilst competitive with the product rule in its standard form, is shown to be outperformed by its modified versions.