Estudo e aplicação de amplificadores ópticos para suporte a redes banda larga

Esta tese tem como foco principal a análise dos principais tipos de amplificação óptica e algumas de suas aplicações em sistemas de comunicação óptica. Para cada uma das tecnologias abordadas, procurou-se definir o estado da arte bem como identificar as oportunidades de desenvolvimento científico relacionadas. Os amplificadores para os quais foi dirigido alguma atenção neste documento foram os amplificadores em fibra dopada com Érbio (EDFA), os amplificadores a semicondutor (SOA) e os amplificadores de Raman (RA). Este trabalho iniciou-se com o estudo e análise dos EDFA’s. Dado o interesse científico e económico que estes amplificadores têm merecido, apenas poucos nichos de investigação estão ainda em aberto. Dentro destes, focá-mo-nos na análise de diferentes perfis de fibra óptica dopada de forma a conseguir uma optimização do desempenho dessas fibras como sistemas de amplificação. Considerando a fase anterior do trabalho como uma base de modelização para sistemas de amplificação com base em fibra e dopantes, evoluiu-se para amplificadores dopados mas em guias de onda (EDWA). Este tipo de amplificador tenta reduzir o volume físico destes dispositivos, mantendo as suas características principais. Para se ter uma forma de comparação de desempenho deste tipo de amplificador com os amplificadores em fibra, foram desenvolvidos modelos de caixa preta (BBM) e os seus parâmetros afinados por forma a termos uma boa modelização e posterior uso deste tipo de amplificiadores em setups de simulação mais complexos. Depois de modelizados e compreendidos os processo em amplificadores dopados, e com vista a adquirir uma visão global comparativa, foi imperativo passar pelo estudo dos processos de amplificação paramétrica de Raman. Esse tipo de amplificação, sendo inerente, ocorre em todas as bandas de propagação em fibra e é bastante flexível. Estes amplificadores foram inicialmente modelizados, e algumas de suas aplicações em redes passivas de acesso foram estudadas. Em especial uma série de requisitos, como por exemplo, a gama de comprimentos de onda sobre os quais existem amplificação e os altos débitos de perdas de inserção, nos levaram à investigação de um processo de amplificação que se ajustasse a eles, especialmente para buscar maiores capacidades de amplificação (nomeadamente longos alcances – superiores a 100 km – e altas razões de divisão – 1:512). Outro processo investigado foi a possibilidade de flexibilização dos parâmetros de comprimento de onda de ganho sem ter que mudar as caractísticas da bomba e se possível, mantendo toda a referenciação no transmissor. Este processo baseou-se na técnica de clamping de ganho já bastante estudada, mas com algumas modificações importantes, nomeadamente a nível do esquema (reflexão apenas num dos extremos) e da modelização do processo. O processo resultante foi inovador pelo recurso a espalhamentos de Rayleigh e Raman e o uso de um reflector de apenas um dos lados para obtenção de laser. Este processo foi modelizado através das equações de propagação e optimizado, tendo sido demonstrado experimentalmente e validado para diferentes tipos de fibras. Nesta linha, e dada a versatilidade do modelo desenvolvido, foi apresentada uma aplicação mais avançada para este tipo de amplificadores. Fazendo uso da sua resposta ultra rápida, foi proposto e analisado um regenerador 2R e analisada por simulação a sua gama de aplicação tendo em vista a sua aplicação sistémica. A parte final deste trabalho concentrou-se nos amplificadores a semiconductor (SOA). Para este tipo de amplificador, os esforços foram postos mais a nível de aplicação do que a nível de sua modelização. As aplicações principais para estes amplificadores foram baseadas em clamping óptico do ganho, visando a combinação de funções lógicas essenciais para a concepção de um latch óptico com base em componentes discretos. Assim, com base num chip de ganho, foi obtido uma porta lógica NOT, a qual foi caracterizada e demonstrada experimentalmente. Esta foi ainda introduzida num esquema de latching de forma a produzir um bi-estável totalmente óptico, o qual também foi demonstrado e caracterizado. Este trabalho é finalizado com uma conclusão geral relatando os subsistemas de amplificação e suas aplicacações.

Mining biomedical information from scientific literature

The rapid evolution and proliferation of a world-wide computerized network, the Internet, resulted in an overwhelming and constantly growing amount of publicly available data and information, a fact that was also verified in biomedicine. However, the lack of structure of textual data inhibits its direct processing by computational solutions. Information extraction is the task of text mining that intends to automatically collect information from unstructured text data sources. The goal of the work described in this thesis was to build innovative solutions for biomedical information extraction from scientific literature, through the development of simple software artifacts for developers and biocurators, delivering more accurate, usable and faster results. We started by tackling named entity recognition - a crucial initial task - with the development of Gimli, a machine-learning-based solution that follows an incremental approach to optimize extracted linguistic characteristics for each concept type. Afterwards, Totum was built to harmonize concept names provided by heterogeneous systems, delivering a robust solution with improved performance results. Such approach takes advantage of heterogenous corpora to deliver cross-corpus harmonization that is not constrained to specific characteristics. Since previous solutions do not provide links to knowledge bases, Neji was built to streamline the development of complex and custom solutions for biomedical concept name recognition and normalization. This was achieved through a modular and flexible framework focused on speed and performance, integrating a large amount of processing modules optimized for the biomedical domain. To offer on-demand heterogenous biomedical concept identification, we developed BeCAS, a web application, service and widget. We also tackled relation mining by developing TrigNER, a machine-learning-based solution for biomedical event trigger recognition, which applies an automatic algorithm to obtain the best linguistic features and model parameters for each event type. Finally, in order to assist biocurators, Egas was developed to support rapid, interactive and real-time collaborative curation of biomedical documents, through manual and automatic in-line annotation of concepts and relations. Overall, the research work presented in this thesis contributed to a more accurate update of current biomedical knowledge bases, towards improved hypothesis generation and knowledge discovery.

Management and Control of Water Supply Systems

The fast increase in the energy’s price has brought a growing concern about the highly expensive task of transporting water. By creating an hydraulic model of the Water Supply System’s (WSS) network and predicting its behaviour, it is possible to take advantage of the energy’s tariffs, reducing the total cost on pumping activities. This thesis was developed, in association with a technology transfer project called the E-Pumping. It focuses on finding a flexible supervision and control strategy, adaptable to any existent Water Supply System (WSS), as well as forecasting the water demand on a time period chosen by the end user, so that the pumping actions could be planned to an optimum schedule, that minimizes the total operational cost. The OPC protocol, associated to a MySQL database were used to develop a flexible tool of supervision and control, due to their adaptability to function with equipments from various manufacturers, being another integrated modular part of the E-Pumping project. Furthermore, in this thesis, through the study and performance tests of several statistical models based on time series, specifically applied to this problem, a forecasting tool adaptable to any station, and whose model parameters are automatically refreshed at runtime, was developed and added to the project as another module. Both the aforementioned modules were later integrated with an Graphical User Interface (GUI) and installed in a pilot application at the ADDP’s network. The implementation of this software on WSSs across the country will reduce the water supply companies’ running costs, improving their market competition and, ultimately, lowering the water price to the end costumer.

Understanding and modelling hydrological and soil erosion processes in burnt forest catchments

Forest fires implications in overland flow and soil erosion have been researched for several years. Therefore, is widely known that fires enhance hydrological and geomorphological activity worldwide as also in Mediterranean areas. Soil burn severity has been widely used to describe the impacts of fire on soils, and has being recognized as a decisive factor controlling post-fire erosion rates. However, there is no unique definition of the term and the relationship between soil burn severity and post-fire hydrological and erosion response has not yet been fully established. Few studies have assessed post-fire erosion over multiple years, and the authors are aware of none which assess runoff. Small amount of studies concerning pre-fire management practices were also found. In the case of soil erosion models, the Revised Universal Soil Loss Equation (RUSLE) and the revised Morgan–Morgan–Finney (MMF) are well-known models, but not much information is available as regards their suitability in predicting post-fire soil erosion in forest soils. The lack of information is even more pronounced as regards post-fire rehabilitation treatments. The aim of the thesis was to perform an extensive research under the post fire hydrologic and erosive response subject. By understanding the effect of burn severity in ecosystems and its implications regarding post fire hydrological and erosive responses worldwide. Test the effect of different pre-fire land management practices (unplowed, downslope plowed and contour plowed) and time-since-fire, in the post fire hydrological and erosive response, between the two most common land uses in Portugal (pine and eucalypt). Assess the performance of two widely-known erosion models (RUSLE and Revised MMF), to predict soil erosion rates during first year following two wildfires of distinctive burn severity. Furthermore, to apply these two models considering different post-fire rehabilitation treatments in an area severely affected by fire. Improve model estimations of post-fire runoff and erosion rates in two different land uses (pine and eucalypt) using the revised MMF. To assess these improvements by comparing estimations and measurements of runoff and erosion, in two recently burned sites, as also with their post fire rehabilitation treatments. Model modifications involved: (1) focusing on intra-annual changes in parameters to incorporate seasonal differences in runoff and erosion; and (2) inclusion of soil water repellency in runoff predictions. Additionally, validate these improvements with the application of the model to other pine and eucalypt sites in Central Portugal. The review and meta-analysis showed that fire occurrence had a significant effect on the hydrological and erosive response. However, this effect was only significantly higher with increasing soil burn severity for inter-rill erosion, and not for runoff. This study furthermore highlighted the incoherencies between existing burn severity classifications, and proposed an unambiguous classification. In the case of the erosion plots with natural rainfall, land use factor affected annual runoff while land management affected both annual runoff and erosion amounts significantly. Time-since-fire had an important effect in erosion amounts among unplowed sites, while for eucalypt sites time affected both annual runoff and erosion amounts. At all studied sites runoff coefficients increase over the four years of monitoring. In the other hand, sediment concentration in the runoff, recorded a decrease during the same period. Reasons for divergence from the classic post-fire recovery model were also explored. Short fire recurrence intervals and forest management practices are viewed as the main reasons for the observed severe and continuing soil degradation. The revised MMF model presented reasonable accuracy in the predictions while the RUSLE clearly overestimated the observed erosion rates. After improvements: the revised model was able to predict first-year post-fire plot-scale runoff and erosion rates for both forest types, these predictions were improved both by the seasonal changes in the model parameters; and by considering the effect of soil water repellency on the runoff, individual seasonal predictions were considered accurate, and the inclusion of the soil water repellency in the model also improved the model at this base. The revised MMF model proved capable of providing a simple set of criteria for management decisions about runoff and erosion mitigation measures in burned areas. The erosion predictions at the validation sites attested both to the robustness of the model and of the calibration parameters, suggesting a potential wider application.

Dynamic fator Models for bivariate Count Data: an application to fire activity

The study of forest re activity, in its several aspects, is essencial to understand the phenomenon and to prevent environmental public catastrophes. In this context the analysis of monthly number of res along several years is one aspect to have into account in order to better comprehend this tematic. The goal of this work is to analyze the monthly number of forest res in the neighboring districts of Aveiro and Coimbra, Portugal, through dynamic factor models for bivariate count series. We use a bayesian approach, through MCMC methods, to estimate the model parameters as well as to estimate the common latent factor to both series.