Analysis of multirate behavior in electronic systems

Esta tese insere-se na área da simulação de circuitos de RF e microondas, e visa o estudo de ferramentas computacionais inovadoras que consigam simular, de forma eficiente, circuitos não lineares e muito heterogéneos, contendo uma estrutura combinada de blocos analógicos de RF e de banda base e blocos digitais, a operar em múltiplas escalas de tempo. Os métodos numéricos propostos nesta tese baseiam-se em estratégias multi-dimensionais, as quais usam múltiplas variáveis temporais definidas em domínios de tempo deformados e não deformados, para lidar, de forma eficaz, com as disparidades existentes entre as diversas escalas de tempo. De modo a poder tirar proveito dos diferentes ritmos de evolução temporal existentes entre correntes e tensões com variação muito rápida (variáveis de estado activas) e correntes e tensões com variação lenta (variáveis de estado latentes), são utilizadas algumas técnicas numéricas avançadas para operar dentro dos espaços multi-dimensionais, como, por exemplo, os algoritmos multi-ritmo de Runge-Kutta, ou o método das linhas. São também apresentadas algumas estratégias de partição dos circuitos, as quais permitem dividir um circuito em sub-circuitos de uma forma completamente automática, em função dos ritmos de evolução das suas variáveis de estado. Para problemas acentuadamente não lineares, são propostos vários métodos inovadores de simulação a operar estritamente no domínio do tempo. Para problemas com não linearidades moderadas é proposto um novo método híbrido frequência-tempo, baseado numa combinação entre a integração passo a passo unidimensional e o método seguidor de envolvente com balanço harmónico. O desempenho dos métodos é testado na simulação de alguns exemplos ilustrativos, com resultados bastante promissores. Uma análise comparativa entre os métodos agora propostos e os métodos actualmente existentes para simulação RF, revela ganhos consideráveis em termos de rapidez de computação.

A tale of two bioprocesses

Bioprocesses use microorganisms or cells in order to produce and/or obtain some desired products. Nowadays these strategies appear as a fundamental alternative to the traditional chemical processes. Amongst the many advantages associated to their use in the chemical, oil or pharmaceutical industries, their low cost, easily scale-up and low environmental impact should be highlighted. This work reports two examples of bioprocesses as alternatives to traditional chemical processes used by the oil and pharmaceutical industries. In the first part of this work it was studied an example of a bioprocess based on the use of microorganisms in enhanced oil recovery. Currently, due to high costs of oil and its scarcity, the enhanced oil recovery techniques become very attractive. Between the available techniques the use of microbial enhanced oil recovery (MEOR) has been highlighted. This process is based on the stimulation of indigenous microorganisms or by the injection of microorganism consortia to produce specific metabolites and hence increase the amount of oil recovered. In the first chapters of this work the isolation of several microorganisms from samples of paraffinic Brazilian oils is described, and their tensioactive and biodegradability properties are presented. Furthermore, the chemical structures of the biosurfactants produced by those isolates were also characterized. In the final chapter of the first part, the capabilities of some isolated bacteria to enhance the oil recovery of paraffinic Brazilian oils entrapped in sand-pack columns were evaluated. In the second part of this work it was investigated aqueous two-phase systems or aqueous biphasic systems (ABS) as extractive strategies for antibiotics directly from the fermented broth in which they are produced. To this goal, several aqueous two-phase systems composed of ionic liquids (ILs) and polymers were studied for the first time and their phase diagrams were determined. The novel ATPS appear as effective and economic methods to extract different biomolecules or/and biological products. Thus, aiming the initial antibiotics extraction purpose it was studied the influence of a wide range of ILs and polymers in the aqueous two-phase formation ability, as well as their influence in the partitioning of several type-molecules, such as amino acids, alkaloids and dyes. As a final chapter it is presented the capacity of these novel systems to extract the antibiotic tetracycline directly from the fermented broth of Streptomyces aureofaciens.

Transient transpiration radiometer : development of a heat flux sensor for high aggressivity environments

The development of a new instrument for the measurement of convective and radiative is proposed, based on the transient operation of a transpiration radiometer. Current transpiration radiometers rely on steady state temperature measurements in a porous element crossed by a know gas mass flow. As a consequence of the porous sensing element’s intrinsically high thermal inertia, the instrument’s time constant is in the order of several seconds. The proposed instrument preserves established advantages of transpiration radiometers while incorporating additional features that broaden its applicability range. The most important developments are a significant reduction of the instrument’s response time and the possibility of separating and measuring the convective and radiative components of the heat flux. These objectives are achieved through the analysis of the instrument’s transient response, a pulsed gas flow being used to induce the transient behavior.

The alternating least-squares algorithm for CDPCA

Clustering and Disjoint Principal Component Analysis (CDP CA) is a constrained principal component analysis recently proposed for clustering of objects and partitioning of variables, simultaneously, which we have implemented in R language. In this paper, we deal in detail with the alternating least-squares algorithm for CDPCA and highlight its algebraic features for constructing both interpretable principal components and clusters of objects. Two applications are given to illustrate the capabilities of this new methodology.