Evolução de software e serviços Web

A Internet causou uma revolução em grande parte dos processos das empresas, criando oportunidades e gerando necessidades até então desconhecidas. Os Sistemas de Informação, ferramentas indispensáveis para uma gestão moderna das actividades empresariais, também foram influenciados pela evolução constante da tecnologia e as facilidades oferecidas para a popularização do uso da Internet. Rumo a uma crescente necessidade de modernização, rapidez, agilidade, eficiência e eficácia que são exigidos das actividades da empresa, actualmente, a tecnologia da Web é exibida como uma opção viável para melhorar o desempenho na gestão da informação. Esta Tese procura dissertar acerca dos aspectos relativos ao funcionamento e implementação de Serviços Web, suas principais características, vantagens e desvantagens comparativamente aos sistemas de informação tradicionais. Os objectivos propostos podem ser sintetizados no conhecimento e descrição das funcionalidades dos Serviços Web, no estudo da situação actual, na identificação das características que potenciam a capacidade de evolução dos Serviços Web, no estudo e desempenho dos Serviços Web, e finalmente, no estudo e análise da especificação Segurança.

Modelling and aerodynamic simulation of a vehicle and failure analysis of a laminated front fender

Master Thesis in Mechanical Engineering field of Maintenance and Production

Áudio digital: uma abordagem ao áudio pela perspectiva de ensino

A sociedade contemporânea tem acompanhado a evolução da Internet, ligando cada vez mais pessoas que exigem mais dela a cada dia que passa e desencadeando uma proliferação tecnológica nunca antes observada. A utilização de recursos, como vídeo e áudio na Internet, tem ganho nos últimos anos um crescente interesse. No entanto, constata-se a carência ou falta de recursos educativos digitais na área do áudio, que sejam capazes de apresentar uma pedagogia eficiente face a um tema muito complexo e extenso, para todos aqueles que queiram aprender de forma mais aprofundada o áudio como componente de engenharia. Na internet, sites de vídeos como Youtube ensinam a usar software de edição de áudio como Audacity, conceitos sobre som e áudio. Contudo, todos estão espalhados, sendo que a maior parte deles não possui fundamentos científicos ou uma bibliografia que acompanhe os conteúdos que leccionam. A proposta desta investigação é pesquisar sobre conhecimentos e recursos de áudio, integrando-os num produto Learning Object, Investigar noções teóricas sobre o som, equipamentos e técnicas usadas na área, assim como obter melhores resultados num espaço para a gravação que o aluno poderia fazer, aglomerando esses conceitos num protótipo mediamente desenvolvido. Foi necessária uma investigação extensa nesta área e avaliar e investigar a possibilidade de um recurso educativo, como o DALCH, capaz de proporcionar uma aprendizagem efectiva dos conceitos relacionados com áudio, que é um conceito complexo. Uma vez realizada essa investigação, foi necessário desenvolver, testar e avaliar um produto Learning Object, que apresentasse o áudio na sua globalidade, desde conceitos básicos até conceitos inerentes à própria produção. Foi possível aferir que esta solução pode contribuir para a formação desses alunos mediante uma experiência de aprendizagem agradável e intuitiva.

Does independent component analysis play a role in unmixing hyperspectral data?

Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a linear mixture of the constituent spectra (endmember spectra) weighted by the correspondent abundance fractions (sources); 2)sources are statistically independent. Independent factor analysis (IFA) extends ICA to linear mixtures of independent sources immersed in noise. Concerning hyperspectral data, the first assumption is valid whenever the multiple scattering among the distinct constituent substances (endmembers) is negligible, and the surface is partitioned according to the fractional abundances. The second assumption, however, is violated, since the sum of abundance fractions associated to each pixel is constant due to physical constraints in the data acquisition process. Thus, sources cannot be statistically independent, this compromising the performance of ICA/IFA algorithms in hyperspectral unmixing. This paper studies the impact of hyperspectral source statistical dependence on ICA and IFA performances. We conclude that the accuracy of these methods tends to improve with the increase of the signature variability, of the number of endmembers, and of the signal-to-noise ratio. In any case, there are always endmembers incorrectly unmixed. We arrive to this conclusion by minimizing the mutual information of simulated and real hyperspectral mixtures. The computation of mutual information is based on fitting mixtures of Gaussians to the observed data. A method to sort ICA and IFA estimates in terms of the likelihood of being correctly unmixed is proposed.

Dependent component analysis: a hyperspectral unmixing algorithm

Linear unmixing decomposes a hyperspectral image into a collection of reflectance spectra of the materials present in the scene, called endmember signatures, and the corresponding abundance fractions at each pixel in a spatial area of interest. This paper introduces a new unmixing method, called Dependent Component Analysis (DECA), which overcomes the limitations of unmixing methods based on Independent Component Analysis (ICA) and on geometrical properties of hyperspectral data. DECA models the abundance fractions as mixtures of Dirichlet densities, thus enforcing the constraints on abundance fractions imposed by the acquisition process, namely non-negativity and constant sum. The mixing matrix is inferred by a generalized expectation-maximization (GEM) type algorithm. The performance of the method is illustrated using simulated and real data.

Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?

Chapter in Book Proceedings with Peer Review First Iberian Conference, IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, JUne 4-6, 2003. Proceedings

Vertex component analysis: a fast algorithm to extract endmembers spectra from hyperspectral data

Chapter in Book Proceedings with Peer Review First Iberian Conference, IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, JUne 4-6, 2003. Proceedings

Vertex component analysis: a fast algorithm to unmix hyperspectral data

Given a set of mixed spectral (multispectral or hyperspectral) vectors, linear spectral mixture analysis, or linear unmixing, aims at estimating the number of reference substances, also called endmembers, their spectral signatures, and their abundance fractions. This paper presents a new method for unsupervised endmember extraction from hyperspectral data, termed vertex component analysis (VCA). The algorithm exploits two facts: (1) the endmembers are the vertices of a simplex and (2) the affine transformation of a simplex is also a simplex. In a series of experiments using simulated and real data, the VCA algorithm competes with state-of-the-art methods, with a computational complexity between one and two orders of magnitude lower than the best available method.

Parallel implementation of vertex component analysis for hyperspectral endmember extraction

International Conference with Peer Review 2012 IEEE International Conference in Geoscience and Remote Sensing Symposium (IGARSS), 22-27 July 2012, Munich, Germany

Copper, nickel and zinc removal by peanut hulls: batch and column studies in mono, tri-component systems and with real effluent

The main goal of this research study was the removal of Cu(II), Ni(II) and Zn(II) from aqueous solutions using peanut hulls. This work was mainly focused on the following aspects: chemical characterization of the biosorbent, kinetic studies, study of the pH influence in mono-component systems, equilibrium isotherms and column studies, both in mono and tri-component systems, and with a real industrial effluent from the electroplating industry. The chemical characterization of peanut hulls showed a high cellulose (44.8%) and lignin (36.1%) content, which favours biosorption of metal cations. The kinetic studies performed indicate that most of the sorption occurs in the first 30 min for all systems. In general, a pseudo-second order kinetics was followed, both in mono and tri-component systems. The equilibrium isotherms were better described by Freundlich model in all systems. Peanut hulls showed higher affinity for copper than for nickel and zinc when they are both present. The pH value between 5 and 6 was the most favourable for all systems. The sorbent capacity in column was 0.028 and 0.025 mmol g-1 for copper, respectively in mono and tri-component systems. A decrease of capacity for copper (50%) was observed when dealing with the real effluent. The Yoon-Nelson, Thomas and Yan’s models were fitted to the experimental data, being the latter the best fit.

Estratégias de implementação de plataformas de e-maintenance na indústria: desenvolvimento de uma aplicação para um sistema logístico de viaturas

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

Self-assembly in chains, rings, and branches: a single component system with two critical points

Agências financiadoras: FCT - PEstOE/FIS/UI0618/2011; PTDC/FIS/098254/2008 ERC-PATCHYCOLLOIDS e MIUR-PRIN

Buying behavior and competition in the software market

In the actual world, the impact of the software buying decisions has a rising relevance in social and economic terms. This research tries to explain it focusing on the organizations buying decisions of Operating Systems and Office Suites for personal computers and the impact on the competition between incumbent and alternative players in the market in these software categories, although the research hypotheses and conclusions may extend to other software categories and platforms. We concluded that in this market beside brand image, product features or price, other factors could have influence in the buying choices. Network effect, switching costs, local network effect, lock-in or consumer heterogeneity all have influence in the buying decision, protecting the incumbent and making it difficult for the competitive alternatives, based mainly on product features and price, to gain market share to the incumbent. This happens in a stronger way in the Operating Systems category.

Influencing factors on the buying behavior in the software market

The case of desktop Operating System and Office Suite choices considering Proprietary and Open Source Software alternatives.

Observação e controlo da segurança estrutural de barragens de betão: utilização integrada de modelos numéricos e de modelos de separação de efeitos

Dissertação de Natureza Científica elabora da no âmbito do protocolo de cooperação entre o ISEL e o LNEC para obtenção do grau de Mestre em Engenharia Civil