54 resultados para integrated solutions
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The basic motivation of this work was the integration of biophysical models within the interval constraints framework for decision support. Comparing the major features of biophysical models with the expressive power of the existing interval constraints framework, it was clear that the most important inadequacy was related with the representation of differential equations. System dynamics is often modelled through differential equations but there was no way of expressing a differential equation as a constraint and integrate it within the constraints framework. Consequently, the goal of this work is focussed on the integration of ordinary differential equations within the interval constraints framework, which for this purpose is extended with the new formalism of Constraint Satisfaction Differential Problems. Such framework allows the specification of ordinary differential equations, together with related information, by means of constraints, and provides efficient propagation techniques for pruning the domains of their variables. This enabled the integration of all such information in a single constraint whose variables may subsequently be used in other constraints of the model. The specific method used for pruning its variable domains can then be combined with the pruning methods associated with the other constraints in an overall propagation algorithm for reducing the bounds of all model variables. The application of the constraint propagation algorithm for pruning the variable domains, that is, the enforcement of local-consistency, turned out to be insufficient to support decision in practical problems that include differential equations. The domain pruning achieved is not, in general, sufficient to allow safe decisions and the main reason derives from the non-linearity of the differential equations. Consequently, a complementary goal of this work proposes a new strong consistency criterion, Global Hull-consistency, particularly suited to decision support with differential models, by presenting an adequate trade-of between domain pruning and computational effort. Several alternative algorithms are proposed for enforcing Global Hull-consistency and, due to their complexity, an effort was made to provide implementations able to supply any-time pruning results. Since the consistency criterion is dependent on the existence of canonical solutions, it is proposed a local search approach that can be integrated with constraint propagation in continuous domains and, in particular, with the enforcing algorithms for anticipating the finding of canonical solutions. The last goal of this work is the validation of the approach as an important contribution for the integration of biophysical models within decision support. Consequently, a prototype application that integrated all the proposed extensions to the interval constraints framework is developed and used for solving problems in different biophysical domains.
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This paper tackles the broad issue of TQM implementation in SMEs. It includes a review of two models aimed at improving organisational performance, the EFQM Excellence Model and the Balanced Scorecard, which have been widely used in large organisations. Both models are examined as to their suitability and applicability to small and medium sized enterprises. The findings indicate that SMEs can benefit from the adoption of an integrated approach that combines both models if some critical factors are considered in the implementation process. A theoretical framework is proposed, which considers such integration and leads to a gradual implementation of TQM principles and methods in SMEs.
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Dissertação de Mestrado em Engenharia Informática
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Dissertação de Mestrado em Engenharia Informática
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Mechanical Systems and Signal Processing, Vol.22, Number 6
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Dissertation presented at Faculdade de Ciências e Tecnologia from Universidade Nova de Lisboa to obtain the degree of Master in Chemical and Biochemical Engineering
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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica
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Thesis submitted to the Faculty of Sciences and Technology, New University of Lisbon, for the degree of Doctor of Philosophy in Environmental Sciences
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática
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RESUMO - Visa-se explicitar a origem, a razão de ser, a natureza e o que se perspectiva da relação entre a Epidemiologia e a Saúde Pública, através de uma leitura histórica. As duas entidades foram-se definindo e fazendo sentido em conjunto, com sucessos e, também, muita polémica, desde há milénios e até meados do século XIX. Nesta época, uma combinação de circunstâncias proporcionou-lhes uma explosão de crescimento e de definição, de par com várias outras áreas disciplinares. Desde o antigo relato bíblico de como boa alimentação explica o bom estado de saúde, até à valorização científica das condicionantes sociais e económicas da saúde por Marmot e Rose, passando por «miasmas» causando doença e pela deslocação do conceito de risco individual de saúde para o de risco populacional — com as implicações inerentes a essa importante inovação —, este percurso permite identificar as fundações de tão notável simbiose, explicar o estado presente, vê-la evoluir e achar nela o significado do património hoje disponível, e o que ele promete. Algumas discrepâncias quanto à designação dos seus métodos, bem como a contínua discussão quanto à sua verdadeira natureza e orientação futura, atestam a juventude da Epidemiologia como disciplina científica. Entretanto, a Saúde Pública esforça-se por manter a sua essência integradora, à medida que outras disciplinas contribuem mais para que concretize os seus objectivos; é desafiada pela exposição das populações, em larga escala, a factores de doença, por vezes de intensidade mínima, e pelo surgimento de novas doenças ou a ampliação do volume de outras na população, muitas vezes não respeitando fronteiras. A história dessa simbiose mostra bem que conhecer o modo como uma doença se origina permite controlá-la na população, ou mesmo evitá-la, e que é grande o número de problemas que, em sinergia, as duas disciplinas podem clarificar e resolver. Assim, a Epidemiologia oferece à Saúde Pública explicações (olhos, inteligência e linguagem) para os problemas de saúde das populações — o que permite à segunda saber sobre o quê agir —, cenários de possível evolução dos problemas — o que permite aos decisores optarem em função de diferentes pressupostos, sobre como agir — e capacidade de juízo sobre os resultados das acções empreendidas, em simultâneo com a elevação do nível de consciência, de compreensão e de intervenção quanto ao que se está a passar, tanto pelos profissionais, como pela população — transferência do conhecimento. Facilmente se antecipa que a relação entre as duas disciplinas irá evoluir para maior complexidade e, também, solicitação e exigência da Saúde Pública sobre a Epidemiologia, que terá que corresponder em utilidade. E esta, continuando a subespecializar-se e a sofisticar-se tanto nos métodos, como nos enfoques sobre categorias específicas de factores, precisará de progredir muito na gestão da sua consistência enquanto corpo de conhecimento integrado e com peculiaridades metodológicas, à semelhança da Saúde Pública.O modo como evoluirá a relação entre ambas depende ainda da evolução dos próprios problemas, conceitos, teorias e soluções relacionados com a saúde das populações, e ainda do desenvolvimento das demais disciplinas chamadas à integração por ambas, para enfrentarem esses desafios. Nomeadamente, a Epidemiologia terá que gerir com perícia dificuldades já identificadas, como: incorporar métodos qualitativos de investigação na sua fortíssima tradição e cultura quantitativa; operacionalizar satisfatoriamente o conceito de «risco atribuível na população», ao serviço da definição de prioridades de acção dirigida às necessidades de saúde; aperfeiçoar modelos de interpretação causal que respeitem a multicausalidade; aproveitar as técnicas estatísticas de análise multivariada, sem se perder na abstracção dos seus modelos; desenvolver a investigação nas dimensões positivas de saúde, além da doença, para contribuir melhor para a realização da Saúde Pública, sua principal cliente e fornecedora de oportunidades.--------------------------ABSTRACT - The aim of the author is to explicit the origin, the rationale, the nature and the prospects of the relationship between Epidemiology and Public health, through an historic approach. The two entities have been defining and making sense together, by achieving successes, but also with much controversy, since millennia ago, until mid XIX century. A combination of circumstances provided them the opportunity for an explosion of growth and definition, then, alongside several other disciplines. From the ancient biblical report on how good food explains good health, up to the scientific appreciation of both social and economical constraints to health by Marmot and Rose, passing through «miasma» causing disease and through displacing from individual health risk to population risk — with the inherent implications of that important innovation —, this route allows the identification of the foundations of such remarkable symbiosis, the explanation of current status, to see its evolution and find in it the meaning of today’s heritage and what it promises. Some discrepancies on the name of its methods, as well as the continuing discussion about its true nature and future orientation, attest Epidemiology’s youth as a scientific discipline. Meanwhile, Public Health strives to keep its integrating essence, while other disciplines increasingly contribute so that it achieves its objectives; it is challenged by large scale population exposure to disease factors, sometimes with a minimum intensity, and by new diseases emerging in the population or by old ones getting amplified, often not respecting regions boundaries. The history of such a symbiosis shows that knowing the way a disease is generated allows to control it in the population, or even to avoid it, and that the number of problems that the two disciplines are able to clarify and solve together in synergy is considerable. Therefore, Epidemiology offers Public Health explanations (eyes, intelligence and language) for populations’s health problems — allowing that the latter knows on what to act —, scenarios on how problems may tend to evolve — allowing decision-makers to make their choices as a function of different assumptions, on how to act — and judgement capabilities on the results of already undertaken actions, accompanied by the raising of conscience level, understanding and intervention of what is going on by both professionals and the population – knowledge transfer. It is easy to anticipate that the relationship between both disciplines will develop towards increasing complexity and demand from Public Health to Epidemiology, and that this one will have to correspond in usefulness. And the latter, while continuing its subspecialisation and sophistication either in its methods, or in its approaches to specific factor categories, will need to progress in managing its consistency as an integrated body of knowledge having methodological peculiarities, similarly to Public Health. Further, the way the relationship between both will evolve depends on the evolution of the problems themselves, of the concepts, theories and solutions related to the health of populations, and on the development of remaining disciplines called to integration by both, in other to face those problems. Namely, Epidemiology will have to manage with expertise some already known difficulties, as: the inclusion of qualitative research methods in its very strong quantitative tradition and culture; to grant satisfactory operation to the «population attributable risk» concept, in support to the definition of action priorities envisaging health needs; to improve causal interpretation models that comply with multicausality; to take advantage of multivariate statistical techniques, without get
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Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e Computadores
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Thesis submitted to the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia for the degree of Doctor of Philosophy in Environmental Engineering
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Thesis submitted to the Instituto Superior de Estatística e Gestão de Informação da Universidade Nova de Lisboa in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in Information Management – Geographic Information Systems
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Dissertação para obtenção do Grau de Mestre em Engenharia Informática