Desenvolvimento de uma ferramenta colaborativa na área da gestão da informação/conhecimento para aplicação numa unidade de cuidados na comunidade

O presente projeto surgiu da necessidade de um instrumento de trabalho na área da gestão da informação / conhecimento a aplicar na Unidade de Cuidados na Comunidade dos Carvalhos (UCCC) que, pela sua estrutura de trabalho por projeto, abrange diversos grupos de utilizadores com perfis e necessidades específicas. Rapidamente assumiu maior dimensão, pois ao seu ponto de partida se conjugaram as oportunidades de utilização das tecnologias de informação na área da saúde, a divulgação da Unidade assim como a divulgação de informação sobre saúde e a interação com os utilizadores. O processo implicou a aplicação das metodologias de Investigação Ação e de Gestão de Projetos, resultando na criação e publicação de um espaço Web. Com o Content Management System (CMS) Joomla foi construído o Site UCC Carvalhos, que faculta simultaneamente informação sobre saúde, oportunidade de aconselhamento especializado e personalizado e permite a organização da documentação interna da Unidade referida. Nesta fase de início de vida do site estabeleceu-se como temáticas prioritárias a desenvolver a informação sobre a UCCC e o seu funcionamento assim como o projeto “Companhia das Barriguinhas”, mais concretamente a Preparação para o Parto e Parentalidade. O desenvolvimento deste projeto superou as expectativas de todos os elementos envolvidos, pois para além de permitir obter resposta às necessidades identificadas, permitiu também experimentar as metodologias referidas de forma integrada e aprofundar temáticas como a gestão da informação e conhecimento, o papel das tecnologias de informação e comunicação na Saúde e o papel do cidadão na utilização das mesmas no sentido de uma autonomia responsável na gestão da sua Saúde.

O empreendedorismo como fator dinamizador da competitividade regional: o papel do financiamento

Dissertação de Mestrado em Finanças Empresariais

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

Symbolic Knowledge Extraction from Trained Neural Networks Governed by Lukasiewicz Logics

This work describes a methodology to extract symbolic rules from trained neural networks. In our approach, patterns on the network are codified using formulas on a Lukasiewicz logic. For this we take advantage of the fact that every connective in this multi-valued logic can be evaluated by a neuron in an artificial network having, by activation function the identity truncated to zero and one. This fact simplifies symbolic rule extraction and allows the easy injection of formulas into a network architecture. We trained this type of neural network using a back-propagation algorithm based on Levenderg-Marquardt algorithm, where in each learning iteration, we restricted the knowledge dissemination in the network structure. This makes the descriptive power of produced neural networks similar to the descriptive power of Lukasiewicz logic language, minimizing the information loss on the translation between connectionist and symbolic structures. To avoid redundance on the generated network, the method simplifies them in a pruning phase, using the "Optimal Brain Surgeon" algorithm. We tested this method on the task of finding the formula used on the generation of a given truth table. For real data tests, we selected the Mushrooms data set, available on the UCI Machine Learning Repository.

Perspetivas das educadoras de infância de uma instituição particular de solidariedade social sobre o contributo da colaboração para o seu desenvolvimento profissional

Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação, especialidade em Supervisão em Educação

Ontologies for reusing data cleaning knowledge

The emergence of new business models, namely, the establishment of partnerships between organizations, the chance that companies have of adding existing data on the web, especially in the semantic web, to their information, led to the emphasis on some problems existing in databases, particularly related to data quality. Poor data can result in loss of competitiveness of the organizations holding these data, and may even lead to their disappearance, since many of their decision-making processes are based on these data. For this reason, data cleaning is essential. Current approaches to solve these problems are closely linked to database schemas and specific domains. In order that data cleaning can be used in different repositories, it is necessary for computer systems to understand these data, i.e., an associated semantic is needed. The solution presented in this paper includes the use of ontologies: (i) for the specification of data cleaning operations and, (ii) as a way of solving the semantic heterogeneity problems of data stored in different sources. With data cleaning operations defined at a conceptual level and existing mappings between domain ontologies and an ontology that results from a database, they may be instantiated and proposed to the expert/specialist to be executed over that database, thus enabling their interoperability.

Instrumentos de apoio à gestão estratégica e ao desempenho organizacional dos fisioterapeutas em unidades privadas de fisioterapia

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

Territórios educativos de intervenção prioritária: de onde vêm? para onde vão?

A criação da medida de política educativa (Despacho Normativo n.º 55/2008) - Territórios Educativos de Intervenção Prioritária (TEIP) corresponde à necessidade de concretização de um princípio da Lei de Bases do Sistema Educativo português, visando assegurar uma educação de base para todos, bem sucedida. Esta mesma medida acontece na sequência de uma outra anterior com as mesmas características, criada no ano lectivo de 1996/1997. A sua implementação no terreno foi objecto de um estudo encomendado pelo Instituto de Inovação Educacional no qual participei, integrando uma equipa de investigação da Faculdade de Psicologia e Ciências da Educação da Universidade de Lisboa. Nesta comunicação, proponho-me revisitar esse mesmo estudo, dando conta do balanço crítico então realizado, e, à luz das suas principais conclusões, refletir agora na qualidade de perito externo de um TEIP da região de Lisboa, sobre os modos como os TEIP2 evoluíram, em que sentido se deu tal evolução e quais os problemas que persistem. A consecução de um dos objectivos centrais desta medida de política educativa, especificamente a melhoria da qualidade das aprendizagens traduzida no sucesso educativo dos alunos, parece, de acordo com os relatórios oficiais, não ser ainda muito expressiva nem muito consistente. Torna-se, portanto, necessário interrogar e problematizar as práticas de ensino realizadas pelos professores, repensando estratégias pedagógicas que se configurem relevantes para dar expressão real àquele objectivo.

Side information creation for efficient Wyner-Ziv video coding: Classifying and reviewing

Video coding technologies have played a major role in the explosion of large market digital video applications and services. In this context, the very popular MPEG-x and H-26x video coding standards adopted a predictive coding paradigm, where complex encoders exploit the data redundancy and irrelevancy to 'control' much simpler decoders. This codec paradigm fits well applications and services such as digital television and video storage where the decoder complexity is critical, but does not match well the requirements of emerging applications such as visual sensor networks where the encoder complexity is more critical. The Slepian Wolf and Wyner-Ziv theorems brought the possibility to develop the so-called Wyner-Ziv video codecs, following a different coding paradigm where it is the task of the decoder, and not anymore of the encoder, to (fully or partly) exploit the video redundancy. Theoretically, Wyner-Ziv video coding does not incur in any compression performance penalty regarding the more traditional predictive coding paradigm (at least for certain conditions). In the context of Wyner-Ziv video codecs, the so-called side information, which is a decoder estimate of the original frame to code, plays a critical role in the overall compression performance. For this reason, much research effort has been invested in the past decade to develop increasingly more efficient side information creation methods. This paper has the main objective to review and evaluate the available side information methods after proposing a classification taxonomy to guide this review, allowing to achieve more solid conclusions and better identify the next relevant research challenges. After classifying the side information creation methods into four classes, notably guess, try, hint and learn, the review of the most important techniques in each class and the evaluation of some of them leads to the important conclusion that the side information creation methods provide better rate-distortion (RD) performance depending on the amount of temporal correlation in each video sequence. It became also clear that the best available Wyner-Ziv video coding solutions are almost systematically based on the learn approach. The best solutions are already able to systematically outperform the H.264/AVC Intra, and also the H.264/AVC zero-motion standard solutions for specific types of content. (C) 2013 Elsevier B.V. All rights reserved.

Programa estruturado de enriquecimento conceptual e lexical

Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação - Especialidade Educação Especial

A denoising approach for iterative side information creation in distributed video coding

In distributed video coding, motion estimation is typically performed at the decoder to generate the side information, increasing the decoder complexity while providing low complexity encoding in comparison with predictive video coding. Motion estimation can be performed once to create the side information or several times to refine the side information quality along the decoding process. In this paper, motion estimation is performed at the decoder side to generate multiple side information hypotheses which are adaptively and dynamically combined, whenever additional decoded information is available. The proposed iterative side information creation algorithm is inspired in video denoising filters and requires some statistics of the virtual channel between each side information hypothesis and the original data. With the proposed denoising algorithm for side information creation, a RD performance gain up to 1.2 dB is obtained for the same bitrate.

Gestão fiscal e benefícios fiscais

Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação de Doutor José Campos Amorim

Sistema de correlação de eventos e notificações - SCEN

Mestrado em Engenharia Electrotécnica e de Computadores

A dimensão política da segurança para o ciberespaço na União Europeia : a agenda digital, a estratégia de cibersegurança e a cooperação UE-OTAN

Mestrado em Relações Internacionais.

Knowledge, attitude and practice of mammography among women users of public health services

OBJECTIVE: To evaluate knowledge, attitude and practice related to mammography among women users of local health services, identifying barriers to its performance. METHODS: A total of 663 women were interviewed at 13 local health centers in a city of Southeastern Brazil, in 2001. Interviewees were randomly selected at each center and they were representative from different socioeconomic conditions. The number of interviewees at each center was proportional to monthly mean appointments. For data analysis, answers were described as knowledge, attitude, practice and their respective adequacies and then they were correlated with control variables through the chi-square test. RESULTS: Only 7.4% of the interviewees had adequate knowledge on mammography, while 97.1% of women had an adequate attitude. The same was seen for the practice of mammography that was adequate in 35.7% of the cases. The main barrier to mammography was lack of referral by physicians working at the health center (81.8%). There was an association between adequacy of attitude and five years or more of education and being married. There was also an association between adequacy of mammography practice and being employed and family income up to four minimum wages. CONCLUSIONS: Women users of local health services had no adequate knowledge and practice related to mammography despite having an adequate attitude about this exam.