A estratégia através da gestão de processos - estudo empírico em empresas de sistemas de informação certificada pela NP EN ISO 9001:2008

Mestrado em Controlo da Gestão e dos Negócios

How to integrate stories and ICT in content-based units of work for English learning

The aim of this article is to show how it is possible to integrate stories and ICT in Content Language Integrated Learning (CLIL) for English as a foreign language (EFL) learning in bilingual schools. Two Units of Work are presented. One, for the second year of Primary, is based on a Science topic, ‘Materials’. The story used is ‘The three little pigs’ and the computer program ‘JClic’. The other one is based on a Science and Arts topic for the sixth year of Primary, the story used is ‘Charlotte’s Web’ and the computer program ‘Atenex’.

The Interactive Whiteboard And Language Learning: A Case Study

In this paper, we intend to present some research carried out in a state Primary school, which is very well-equipped with ICT resources, including interactive whiteboards. The interactive whiteboard was used in the context of a Unit of Work for English learning, based on a traditional oral story, ‘Jack and the Beanstalk’. It was also used for reinforcing other topics like, ‘At the beach’, ‘In the city’, ‘Jobs’, etc. An analysis of the use of the digital board, which includes observation records as well as questionnaires for teachers and pupils, was carried out.

Estudo de caso de malformação congénita, com quantificação do êmbolo em 4 sistemas de suspensão para próteses endosqueléticas transtibiais com encaixe TSB

Introdução – O efeito de êmbolo é um dos principais problemas relacionados com a eficácia de uma prótese. Uma diminuição do mesmo pode levar a uma marcha mais natural através do aumento da propriocetividade. Objetivos – Verificar se existe diferença de valores do efeito de êmbolo entre vários sistemas de suspensão para próteses transtibiais com a utilização de Liners e testar a aplicação de testes de imagiologia na análise da melhor solução protésica para um determinado indivíduo. Metodologia – Foi obtida uma radiografia da prótese em carga na posição ortostática, mantendo o peso do indivíduo igualmente distribuído pelos dois pés. Seguidamente foi realizada outra radiografia no plano sagital com o joelho com 30° de flexão, com a prótese suspensa e um peso de 5kg aplicado na extremidade distal da mesma durante 30 seg. Através destes dois exames efetuaram-se as medições do êmbolo para cada tipo de sistema de suspensão. Resultados – Dos quatro sistemas estudados apenas três apresentam valores de êmbolo, visto que um dos sistemas não criou suspensão suficiente para suportar o peso colocado na extremidade distal da prótese. Através das medições realizadas nos exames imagiológicos dos três sistemas pudemos encontrar variações de efeito de êmbolo que vão dos 47,91mm aos 72,55mm. Conclusão – Através da realização do estudo imagiológico verificaram-se diferenças a nível do efeito de êmbolo nos vários sistemas de suspensão, provando que esta é uma ferramenta viável na avaliação do mesmo. Também através da análise dos resultados ficou notório que o sistema de suspensão Vacuum Assisted Suspention System (VASS) é o que apresenta menos êmbolo.

Sistemas de arrefecimento de instalações frigoríficas utilizando três agentes frigoríficos

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Democratic dialogue and collective learning in the context of self-managed teams

This paper provides a longitudinal, empirical view of the multifaceted and reciprocal processes of organizational learning in a context of self-managed teams. Organizational learning is seen as a social construction between people and actions in a work setting. The notion of learning as situated (Brown & Duguid 1989, Lave& Wenger 1991, Gherardi & al. 1998, Easterby-Smith & Araujo 1999, Abma 2003) opens up the possibility for placing the focus of research on learning in the community rather than in individual learning processes. Further, in studying processes in their social context, we cannot avoid taking power relations into consideration (Contu & Willmott 2003). The study is based on an action research with a methodology close to the ‘democratic dialogue’ presented by Gustavsen (2001). This gives a ground for research into how the learning discourse developed in the case study organization over a period of 5 years, during which time the company abandoned a middle management level of hierarchy and the teams had to figure out how to work as self-managed units. This paper discusses the (re)construction of power relations and its role in organizational learning. Power relations are discussed both in vertical and horizontal work relations. A special emphasis is placed on the dialectic between managerial aims and the space for reflection on the side of employees. I argue that learning is crucial in the search for the limits for empowerment and that these limits are negotiated both in actions and speech. This study unfolds a purpose-oriented learning process, constructing an open dialogue, and describes a favourable context for creative, knowledge building communities.

RAMS aplicado a sistemas reparáveis

Quando se aborda o tema da manutenção,muitas vezes a primeira ideia subjacente é a de que se trata de uma actividade que apenas acarreta custos, sem que dela resultem benefícios maiores para as instalações industriais. Tal facto deriva desta actividade estar natural e permanentemente associada a falhas. Daí a necessidade de se demonstrar que, através de uma aplicação rigorosa de metodologias modernas de manutenção, assentes em conceitos científicos, se podem acrescentar mais-valias na cadeia de valor de cada organização. O principal objectivo do presente trabalho foi o desenvolvimento de um modelo apropriado de manutenção, assente no conceito RAMS, aplicado a sistemas reparáveis de extracção de oleaginosas. A metodologia desenvolvida procura integrar os conceitos associados aos processos estocásticos pontuais com metodologias qualitativas de análise de falhas e efeitos e com as práticas de manutenção baseadas na fiabilidade. Os dados referentes à extracção de oleaginosas foram, inicialmente, codificados e tratados de forma a conseguir-se uma base de dados para cada subsistema, ordenada cronologicamente. A análise da extracção de oleaginosas como sistema reparável, constituído hierarquicamente por subsistemas igualmente reparáveis incidiu, fundamentalmente, em três vertentes: a primeira, consubstanciada na avaliação global das falhas do sistema reparável, articulando a utilização dos conceitos dos processos estocásticos pontuais com a determinação dos respectivos tempos médios de reparação; tem como o objectivo encontrar os subsistemas mais críticos, em termos de disponibilidade; a segunda, permitiu encontrar uma política de manutenção preventiva adequada, através da identificação dos respectivos componentes críticos; estes foram, obtidos pela aplicação da Análise Modal de Falhas e Efeitos e da modelação estatística da ordem das falhas e respectivas durações; a terceira, através do desenvolvimento da análise de riscos associada às tarefas de manutenção, permitiu identificar melhorias possíveis de aplicar ao nível da segurança ocupacional. A metodologia desenvolvida poderá ser eventualmente aplicada à totalidade dos subsistemas reparáveis da unidade em estudo, bem como a outras unidades industriais.

Sistemas de informação para executivos (EIS). Uma experiência de aplicação

Tese submetida à Universidade Portucalense para obtenção do grau de Mestre em Informática, elaborada sob a orientação de Prof. Doutor Reis Lima e Eng. Jorge S. Coelho.

Automatic learning for the classification of chemical reactions and in statistical thermodynamics

This Thesis describes the application of automatic learning methods for a) the classification of organic and metabolic reactions, and b) the mapping of Potential Energy Surfaces(PES). The classification of reactions was approached with two distinct methodologies: a representation of chemical reactions based on NMR data, and a representation of chemical reactions from the reaction equation based on the physico-chemical and topological features of chemical bonds. NMR-based classification of photochemical and enzymatic reactions. Photochemical and metabolic reactions were classified by Kohonen Self-Organizing Maps (Kohonen SOMs) and Random Forests (RFs) taking as input the difference between the 1H NMR spectra of the products and the reactants. The development of such a representation can be applied in automatic analysis of changes in the 1H NMR spectrum of a mixture and their interpretation in terms of the chemical reactions taking place. Examples of possible applications are the monitoring of reaction processes, evaluation of the stability of chemicals, or even the interpretation of metabonomic data. A Kohonen SOM trained with a data set of metabolic reactions catalysed by transferases was able to correctly classify 75% of an independent test set in terms of the EC number subclass. Random Forests improved the correct predictions to 79%. With photochemical reactions classified into 7 groups, an independent test set was classified with 86-93% accuracy. The data set of photochemical reactions was also used to simulate mixtures with two reactions occurring simultaneously. Kohonen SOMs and Feed-Forward Neural Networks (FFNNs) were trained to classify the reactions occurring in a mixture based on the 1H NMR spectra of the products and reactants. Kohonen SOMs allowed the correct assignment of 53-63% of the mixtures (in a test set). Counter-Propagation Neural Networks (CPNNs) gave origin to similar results. The use of supervised learning techniques allowed an improvement in the results. They were improved to 77% of correct assignments when an ensemble of ten FFNNs were used and to 80% when Random Forests were used. This study was performed with NMR data simulated from the molecular structure by the SPINUS program. In the design of one test set, simulated data was combined with experimental data. The results support the proposal of linking databases of chemical reactions to experimental or simulated NMR data for automatic classification of reactions and mixtures of reactions. Genome-scale classification of enzymatic reactions from their reaction equation. The MOLMAP descriptor relies on a Kohonen SOM that defines types of bonds on the basis of their physico-chemical and topological properties. The MOLMAP descriptor of a molecule represents the types of bonds available in that molecule. The MOLMAP descriptor of a reaction is defined as the difference between the MOLMAPs of the products and the reactants, and numerically encodes the pattern of bonds that are broken, changed, and made during a chemical reaction. The automatic perception of chemical similarities between metabolic reactions is required for a variety of applications ranging from the computer validation of classification systems, genome-scale reconstruction (or comparison) of metabolic pathways, to the classification of enzymatic mechanisms. Catalytic functions of proteins are generally described by the EC numbers that are simultaneously employed as identifiers of reactions, enzymes, and enzyme genes, thus linking metabolic and genomic information. Different methods should be available to automatically compare metabolic reactions and for the automatic assignment of EC numbers to reactions still not officially classified. In this study, the genome-scale data set of enzymatic reactions available in the KEGG database was encoded by the MOLMAP descriptors, and was submitted to Kohonen SOMs to compare the resulting map with the official EC number classification, to explore the possibility of predicting EC numbers from the reaction equation, and to assess the internal consistency of the EC classification at the class level. A general agreement with the EC classification was observed, i.e. a relationship between the similarity of MOLMAPs and the similarity of EC numbers. At the same time, MOLMAPs were able to discriminate between EC sub-subclasses. EC numbers could be assigned at the class, subclass, and sub-subclass levels with accuracies up to 92%, 80%, and 70% for independent test sets. The correspondence between chemical similarity of metabolic reactions and their MOLMAP descriptors was applied to the identification of a number of reactions mapped into the same neuron but belonging to different EC classes, which demonstrated the ability of the MOLMAP/SOM approach to verify the internal consistency of classifications in databases of metabolic reactions. RFs were also used to assign the four levels of the EC hierarchy from the reaction equation. EC numbers were correctly assigned in 95%, 90%, 85% and 86% of the cases (for independent test sets) at the class, subclass, sub-subclass and full EC number level,respectively. Experiments for the classification of reactions from the main reactants and products were performed with RFs - EC numbers were assigned at the class, subclass and sub-subclass level with accuracies of 78%, 74% and 63%, respectively. In the course of the experiments with metabolic reactions we suggested that the MOLMAP / SOM concept could be extended to the representation of other levels of metabolic information such as metabolic pathways. Following the MOLMAP idea, the pattern of neurons activated by the reactions of a metabolic pathway is a representation of the reactions involved in that pathway - a descriptor of the metabolic pathway. This reasoning enabled the comparison of different pathways, the automatic classification of pathways, and a classification of organisms based on their biochemical machinery. The three levels of classification (from bonds to metabolic pathways) allowed to map and perceive chemical similarities between metabolic pathways even for pathways of different types of metabolism and pathways that do not share similarities in terms of EC numbers. Mapping of PES by neural networks (NNs). In a first series of experiments, ensembles of Feed-Forward NNs (EnsFFNNs) and Associative Neural Networks (ASNNs) were trained to reproduce PES represented by the Lennard-Jones (LJ) analytical potential function. The accuracy of the method was assessed by comparing the results of molecular dynamics simulations (thermal, structural, and dynamic properties) obtained from the NNs-PES and from the LJ function. The results indicated that for LJ-type potentials, NNs can be trained to generate accurate PES to be used in molecular simulations. EnsFFNNs and ASNNs gave better results than single FFNNs. A remarkable ability of the NNs models to interpolate between distant curves and accurately reproduce potentials to be used in molecular simulations is shown. The purpose of the first study was to systematically analyse the accuracy of different NNs. Our main motivation, however, is reflected in the next study: the mapping of multidimensional PES by NNs to simulate, by Molecular Dynamics or Monte Carlo, the adsorption and self-assembly of solvated organic molecules on noble-metal electrodes. Indeed, for such complex and heterogeneous systems the development of suitable analytical functions that fit quantum mechanical interaction energies is a non-trivial or even impossible task. The data consisted of energy values, from Density Functional Theory (DFT) calculations, at different distances, for several molecular orientations and three electrode adsorption sites. The results indicate that NNs require a data set large enough to cover well the diversity of possible interaction sites, distances, and orientations. NNs trained with such data sets can perform equally well or even better than analytical functions. Therefore, they can be used in molecular simulations, particularly for the ethanol/Au (111) interface which is the case studied in the present Thesis. Once properly trained, the networks are able to produce, as output, any required number of energy points for accurate interpolations.

A importância das tecnologias de informação e do factor humano nos sistemas antropocêntricos e flexíveis de produção

As Tecnologia de Informação, são certamente uma pedra base da sociedade de hoje e das vindouras. Estas têm modificado as relações sociais, culturais e organizacionais, tendo-se repercutido na sociedade, de diferentes formas. A análise aqui proposta, visa o mundo das organizações e o reconhecimento do peso do factor humano dentro desta, quer na forma como as relações entre os vários actores são mediadas por estas novas tecnologias, quer no que conceme às modificações produzidas por estas no trabalho e consequentemente nas qualificações dos operadores. O desenvolvimento desta análise, parte de uma perspectiva antropocêntrica, que tem, como premissas de partida o valor humano e as características culturais de cada organização. A proposta aqui apresentada, é sobretudo um alerta, para uma maior colaboração interdiscipliiar no desenho das Tecnologias de Informação, visando a plena integração do factor humano no desempenho destas tecnologias. Por último cabe aqui aludir ao estudo de caso, que tem por objecto de estudo um Sistema Flexível de Produção e a inclusão de um posto de trabaího no Sistema. A opção de organização do trabalho, visa sobretudo capacitar, o factor humano de competências e qualificações que lhe permitam o enobrecimento do seu posto de trabalho. É uma opção que assenta na divisão maleável do trabalho, sendo necessário um operador qualificado, mas também polivalente de forma a permitir ao indivíduo executar o conjunto de tarefas que comporta o posto de trabalho.

Análise comparativa das opiniões, atitudes e comportamentos dos utentes de diferentes sistemas de deposição selectiva de resíduos urbanos

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia do Ambiente,perfil Engenharia Sanitária

Sistemas energéticos para o sector edifícios em Portugal

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia do Ambiente

Plataforma para testes de conformidade de sistemas baseados em módulos conceptuais STEP

Obtenção do grau de Mestre em Engenharia Electrotécnica, Sistemas e Computadores

Lean learning academy: an innovative framework for lean manufacturing training

Worldwide competitiveness poses enormous challenges on managers, demanding a continuous quest to increase rationality in the use of resources. As a management philosophy, Lean Manufacturing focuses on the elimination of activities that do not create any type of value and therefore are considered waste. For companies to successfully implement the Lean Manufacturing philosophy it is crucial that the human resources of the organization have the necessary training, for which proper tools are required. At the same time, higher education institutions need innovative tools to increase the attractiveness of engineering curricula and develop a higher level of knowledge among students, improving their employability. This paper describes how Lean Learning Academy, an international collaboration project between five EU universities and five companies, from SME to Multinational/Global companies, developed and applied an innovative training programme for Engineers on Lean Manufacturing, a successful alternative to the traditional teaching methods in engineering courses.

Estudo sobre eficiência energética de um edifício à luz do novo regulamento dos sistemas energéticos de climatização em edifícios

Dissertação apresentada à Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Mecânica