17 resultados para Evaluation model

em Repositório Científico do Instituto Politécnico de Lisboa - Portugal


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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.

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Mestrado em Intervenção Socio-Organizacional na Saúde - Área de especialização: Políticas de Administração e Gestão de Serviços de Saúde.

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Com as várias reformulações do processo de avaliação de desempenho docente (ADD), passou-se de um processo de avaliação dos professores assente na autoavaliação do docente, para um sistema de heteroavaliação que visa a prestação de contas e a seleção, mas também a melhoria de práticas e o desenvolvimento profissional, através do acompanhamento supervisivo. No entanto, a conciliação entre estas duas perspetivas não é fácil e tem gerado perplexidades e inquietações entre os avaliadores e entre os avaliados. Com este estudo, pretendemos conhecer a perspetiva de avaliadores e avaliados sobre o papel que a Supervisão detém no processo de avaliação de desempenho do professor e o seu contributo para o desenvolvimento profissional do professor e melhoria das práticas. Assim desenhou-se um plano de estudo qualitativo, exploratório e descritivo procurando captar o ponto de vista dos principais intervenientes no processo. O principal meio de recolha de dados foi a entrevista semiestruturada a 4 professores avaliadores e 4 professores avaliados do Departamento de Matemática e Ciências Experimentais de um Agrupamento de Escolas. Os resultados mostram que os docentes discordam do modelo de ADD, mas que o processo vivenciado teve caraterísticas positivas, dando os avaliadores especial relevância à oportunidade de conhecer outros processos de trabalho, a partir da observação de aulas. Avaliadores e avaliados referem ainda o bom relacionamento estabelecido entre ambos, contradizendo as preocupações expressas quando se pronunciaram sobre os problemas do modelo de avaliação. No entanto, ambos os subgrupos focam a falta de formação e qualificação profissional dos avaliadores. Em termos gerais, é possível concluir que a maior parte das dificuldades atribuídas pelos docentes ao modelo de ADD não foi depois sentida na implementação prática. Por outro lado, na opinião dos docentes, o processo experienciado não teve verdadeiro impacto na melhoria das práticas ou no desenvolvimento profissional dos docentes envolvidos. - Abstract The several reformulations of the process of the teacher performance evaluation made the process of evaluating teachers, which was first based on a self-evaluation change into a straight assessment system, which aims not only accountability and selection, but also the improvement of the practice and professional development through the supervision of the teaching practice. However, the conciliation between these perspectives has not been easy and has generated anxieties and perplexities among evaluators and evaluated. With this study we intend to know the perspective of the evaluators and of the evaluated concerning the role supervision has hold in the process of evaluating a teacher’s performance and its contribution to the professional development of the teacher and to the improvement of his practices. Thus, a qualitative, exploratory and descriptive study plan was drawn to get to know the viewpoint of the intervening ones in the process. The main means for data collection was based on a semi structured interview, targeting 4 teacher evaluators and 4 evaluated teachers of the Experimental Sciences and Mathematics Department of a group of Schools. The results show that teachers disagree with the teacher’s evaluation model, but the experienced process had positive characteristics. Besides, evaluators have given special relevance to the opportunity of getting to know other working methods thanks to the lessons’ observations. Evaluators and evaluated also refer the good relationship between both parts contradicting the fears they had when they first pronounced themselves about this evaluation model. However, both subgroups focus the lack of training and professional qualifications of the evaluators. So it’s possible to conclude that most worries mentioned by the teachers when referring to this model of teacher performance evaluation were not verified during its practical implementation. On the other hand, in the opinion of the involved teachers, the experienced process had no real impact on their practice improvement or on their professional development.

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Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção do grau de Mestre em Ciências da Educação - Especialização em Supervisão em Educação

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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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Trabalho de projeto apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e Multimédia.

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The aim of this paper is to analyze the forecasting ability of the CARR model proposed by Chou (2005) using the S&P 500. We extend the data sample, allowing for the analysis of different stock market circumstances and propose the use of various range estimators in order to analyze their forecasting performance. Our results show that there are two range-based models that outperform the forecasting ability of the GARCH model. The Parkinson model is better for upward trends and volatilities which are higher and lower than the mean while the CARR model is better for downward trends and mean volatilities.

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In general, modern networks are analysed by taking several Key Performance Indicators (KPIs) into account, their proper balance being required in order to guarantee a desired Quality of Service (QoS), particularly, cellular wireless heterogeneous networks. A model to integrate a set of KPIs into a single one is presented, by using a Cost Function that includes these KPIs, providing for each network node a single evaluation parameter as output, and reflecting network conditions and common radio resource management strategies performance. The proposed model enables the implementation of different network management policies, by manipulating KPIs according to users' or operators' perspectives, allowing for a better QoS. Results show that different policies can in fact be established, with a different impact on the network, e.g., with median values ranging by a factor higher than two.

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Considering that recent european high-speed railway system has a traction power system of kV 50 Hz, which causes electromagnetic emission for the outside world, it is important to dimension the railway system emissions, using a frequency/distance dependent propagation model. This paper presents an enhanced theoretical model for VLF to UHF propagation, railway system oriented. It introduces the near field approach (crucial in low frequency propagation) and also considers the source characteristics and type of measuring antenna. Simulations are presented, and comparisons are set with earlier far field models. Using the developed model, a real case study was performed in partnership with Refer Telecom (portuguese telecom operator for railways). The new propagation model was used in order to predict the future high-speed railway electromagnetic emissions in the Lisbon north track. The results show the model's prediction capabilities and also its applicability to realistic scenarios.

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The pressurization of hydraulic systems containing entrapped air is considered a critical condition for the infrastructure's security due to transient pressure variations often occurred. The objective of the present study is the computational evaluation of trends observed in variation of maximum surge pressure resulting from rapid pressurizations. The comparison of the results with those obtained in previous studies is also undertaken. A brief state of art in this domain is presented. This research work is applied to an experimental system having entrapped air in the top of a vertical pipe section. The evaluation is developed through the elastic model based on the method of characteristics, considering a moving liquid boundary, with the results being compared with those achieved with the rigid liquid column model.

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The pressurization of hydraulic systems containing entrapped air is considered a critical condition for the infrastructure's security due to transient pressure variations often occurred. The objective of the present study is the computational evaluation of trends observed in variation of maximum surge pressure resulting from rapid pressurizations. The comparison of the results with those obtained in previous studies is also undertaken. A brief state of art in this domain is presented. This research work is applied to an experimental system having entrapped air in the top of a vertical pipe section. The evaluation is developed through the elastic model based on the method of characteristics, considering a moving liquid boundary, with the results being compared with those achieved with the rigid liquid column model.

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Although stock prices fluctuate, the variations are relatively small and are frequently assumed to be normal distributed on a large time scale. But sometimes these fluctuations can become determinant, especially when unforeseen large drops in asset prices are observed that could result in huge losses or even in market crashes. The evidence shows that these events happen far more often than would be expected under the generalized assumption of normal distributed financial returns. Thus it is crucial to properly model the distribution tails so as to be able to predict the frequency and magnitude of extreme stock price returns. In this paper we follow the approach suggested by McNeil and Frey (2000) and combine the GARCH-type models with the Extreme Value Theory (EVT) to estimate the tails of three financial index returns DJI,FTSE 100 and NIKKEI 225 representing three important financial areas in the world. Our results indicate that EVT-based conditional quantile estimates are much more accurate than those from conventional AR-GARCH models assuming normal or Student’s t-distribution innovations when doing out-of-sample estimation (within the insample estimation, this is so for the right tail of the distribution of returns).

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In a heterogeneous cellular networks environment, users behaviour and network deployment configuration parameters have an impact on the overall Quality of Service. This paper proposes a new and simple model that, on the one hand, explores the users behaviour impact on the network by having mobility, multi-service usage and traffic generation profiles as inputs, and on the other, enables the network setup configuration evaluation impact on the Joint Radio Resource Management (JRRM), assessing some basic JRRM performance indicators, like Vertical Handover (VHO) probabilities, average bit rates, and number of active users, among others. VHO plays an important role in fulfilling seamless users sessions transfer when mobile terminals cross different Radio Access Technologies (RATs) boundaries. Results show that high bit rate RATs suffer and generate more influence from/on other RATs, by producing additional signalling traffic to a JRRM entity. Results also show that the VHOs probability can range from 5 up to 65%, depending on RATs cluster radius and users mobility profile.

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Price forecast is a matter of concern for all participants in electricity markets, from suppliers to consumers through policy makers, which are interested in the accurate forecast of day-ahead electricity prices either for better decisions making or for an improved evaluation of the effectiveness of market rules and structure. This paper describes a methodology to forecast market prices in an electricity market using an ARIMA model applied to the conjectural variations of the firms acting in an electricity market. This methodology is applied to the Iberian electricity market to forecast market prices in the 24 hours of a working day. The methodology was then compared with two other methodologies, one called naive and the other a direct forecast of market prices using also an ARIMA model. Results show that the conjectural variations price forecast performs better than the naive and that it performs slightly better than the direct price forecast.

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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.