Uso da dessalinização no abastecimento de água para o consumo humano em regiões com climas áridos ou semi-áridos

O presente trabalho tem como principal objetivo desenvolver um processo de conceção preliminar tendo em vista o abastecimento de água potável à Cidade Assomada, na ilha de Santiago, Cabo Verde, a partir de uma nova estação dessalinizadora a ser instalado no Concelho de Calheta de São Miguel, na Ilha de Santiago. Este projeto terá uma vida útil de 25 anos prevendo-se que no horizonte do projeto venha a servir um total de cerca de 16 000 habitantes para um caudal de dimensionamento de 3156 m3/dia. O caudal de água de abastecimento será disponibilizado numa estação dessalinizadora em estudo que irá utilizar a técnica da osmose inversa e apresenta uma relação de custo-benefício ótima com baixo custo de investimento e de energia, para além de apresentar de fácil operação e manutenção. No presente trabalho é apresentado o estado da arte relativamente à dessalinização da água do mar, e é apresentado em detalhe todo o processo a ser implementado na estação que irá servir a Cidade de Assomada. Em complemento à estação dessalinizadora é igualmente apresentado o estudo do respectivo sistema adutor até à Cidade de Assomada, tendo em consideração critérios de natureza técnica e económica. O dimensionamento técnico-económico teve por objetivo a escolha do diâmetro mais económico a que corresponde o menor valor do somatório dos respetivos encargos de instalação e de exploração associados. Assim, e em resumo, o sistema de abastecimento à Cidade de Assomada será pois integrado por uma captação de água do mar através de dois furos instalados junto à costa, uma estação de tratamento de água, do tipo dessalinizadora um sistemas adutor com dois patamares de bombagem um reservatório de distribuição terminal, seguindo posteriormente a água de abastecimento diretamente para a nova rede de distribuição de toda a Cidade.

A semi-automatic approach to code smells detection

Eradication of code smells is often pointed out as a way to improve readability, extensibility and design in existing software. However, code smell detection remains time consuming and error-prone, partly due to the inherent subjectivity of the detection processes presently available. In view of mitigating the subjectivity problem, this dissertation presents a tool that automates a technique for the detection and assessment of code smells in Java source code, developed as an Eclipse plugin. The technique is based upon a Binary Logistic Regression model that uses complexity metrics as independent variables and is calibrated by expert‟s knowledge. An overview of the technique is provided, the tool is described and validated by an example case study.

Aqueous biphasic system based on cholinium ionic liquids: extraction of biologically active phenolic acids

Phenolic acids are aromatic secondary plant metabolites, widely spread throughout the plant kingdom. Due to their biological and pharmacological properties, they have been playing an important role in phytotherapy and consequently techniques for their separation and purification are in need. This thesis aims at exploring new sustainable separation processes based on ionic liquids (ILs) in the extraction of biologically active phenolic acids. For that purpose, three phenolic acids with similar chemical structures were selected: cinnamic acid, p-coumaric acid and caffeic acid. In the last years, it has been shown that ionic liquids-based aqueous biphasic systems (ABSs) are valid alternatives for the extraction, recovery and purification of biomolecules when compared to conventional ABS or extractions carried out with organic solvents. In particular, cholinium-based ILs represent a clear step towards a greener chemistry, while providing means for the implementation of efficient techniques for the separation and purification of biomolecules. In this work, ABSs were implemented using cholinium carboxylate ILs using either high charge density inorganic salt (K3PO4) or polyethylene glycol (PEG) to promote the phase separation of aqueous solutions containing three different phenolic acids. These systems allow for the evaluation of effect of chemical structure of the anion on the extraction efficiency. Only one imidazolium-based IL was used in order to establish the effect of the cation chemical structure. The selective extraction of one single acid was also researched. Overall, it was observed that phenolic acids display very complex behaviours in aqueous solutions, from dimerization to polymerization and also hetero-association are quite frequent phenomena, depending on the pH conditions. These phenomena greatly hinder the correct quantification of these acids in solution.

Automatic extraction of concepts from texts and applications

The extraction of relevant terms from texts is an extensively researched task in Text- Mining. Relevant terms have been applied in areas such as Information Retrieval or document clustering and classification. However, relevance has a rather fuzzy nature since the classification of some terms as relevant or not relevant is not consensual. For instance, while words such as "president" and "republic" are generally considered relevant by human evaluators, and words like "the" and "or" are not, terms such as "read" and "finish" gather no consensus about their semantic and informativeness. Concepts, on the other hand, have a less fuzzy nature. Therefore, instead of deciding on the relevance of a term during the extraction phase, as most extractors do, I propose to first extract, from texts, what I have called generic concepts (all concepts) and postpone the decision about relevance for downstream applications, accordingly to their needs. For instance, a keyword extractor may assume that the most relevant keywords are the most frequent concepts on the documents. Moreover, most statistical extractors are incapable of extracting single-word and multi-word expressions using the same methodology. These factors led to the development of the ConceptExtractor, a statistical and language-independent methodology which is explained in Part I of this thesis. In Part II, I will show that the automatic extraction of concepts has great applicability. For instance, for the extraction of keywords from documents, using the Tf-Idf metric only on concepts yields better results than using Tf-Idf without concepts, specially for multi-words. In addition, since concepts can be semantically related to other concepts, this allows us to build implicit document descriptors. These applications led to published work. Finally, I will present some work that, although not published yet, is briefly discussed in this document.

Contra os semi-sábios — notas sobre a racionalidade nos Pensamentos de Pascal

Ao longo dos Pensamentos, Pascal expressa a sua antipatia filosófica por alguns tipos de pensadores. Um desses tipos de pensadores corresponde à figura do "demi-savant". Os "demi-savants", ou semi-sábios, caracterizam-se essencialmente por uma pretensão de saber fracassada: são homens que julgam estar na posse de um saber que na verdade não possuem. O objectivo desta investigação é fixar, com o maior detalhe possível, o que está em causa na denúncia dos semi-sábios — um aspecto pouco trabalhado no âmbito dos estudos sobre o pensamento de Pascal. A primeira parte da investigação consiste assim na delimitação formal da categoria semi-sábios. Quais são as notas definitórias destes pensadores? Que tipo de erro está em jogo na sua atitude? Que opiniões fazem de alguém um semi-sábio? Estas perguntas acabam rapidamente por nos levar a outras, que dizem directamente respeito à tentativa de determinação do poder de fogo da razão humana. Com efeito, o fundamento filosófico da crítica aos semi-sábios é o diagnóstico arrasador que Pascal faz da capacidade da nossa razão na tarefa do conhecimento — de tal modo que estudar o problema que os semi-sábios representam é estudar sob um determinado ângulo o problema geral da procura da verdade. Nesse sentido, depois de esclarecido o significado da designação semi-sábio, analisamos dois argumentos apresentados nos Pensamentos que visam contestar a compreensão habitualmente constituída acerca das possibilidades do homem na tarefa do conhecimento. Procuramos ainda, por último, desfazer possíveis equívocos quanto à fixação da posição de Pascal no campo da epistemologia. Embora haja poucas referências aos semi-sábios nos textos que compõem os Pensamentos, trata-se de uma figura que funciona como ponto de cruzamento de vários aspectos relevantes de um problema que está no centro do projecto apologético de Pascal: o problema do modo de apuramento da verdade.

Video metadata extraction in a videoMail system

Currently the world swiftly adapts to visual communication. Online services like YouTube and Vine show that video is no longer the domain of broadcast television only. Video is used for different purposes like entertainment, information, education or communication. The rapid growth of today’s video archives with sparsely available editorial data creates a big problem of its retrieval. The humans see a video like a complex interplay of cognitive concepts. As a result there is a need to build a bridge between numeric values and semantic concepts. This establishes a connection that will facilitate videos’ retrieval by humans. The critical aspect of this bridge is video annotation. The process could be done manually or automatically. Manual annotation is very tedious, subjective and expensive. Therefore automatic annotation is being actively studied. In this thesis we focus on the multimedia content automatic annotation. Namely the use of analysis techniques for information retrieval allowing to automatically extract metadata from video in a videomail system. Furthermore the identification of text, people, actions, spaces, objects, including animals and plants. Hence it will be possible to align multimedia content with the text presented in the email message and the creation of applications for semantic video database indexing and retrieving.

Antioxidant extraction process for Andean Oca by a photodiode array detector using response surface methodology

Application of Experimental Design techniques has proven to be essential in various research fields, due to its statistical capability of processing the effect of interactions among independent variables, known as factors, in a system’s response. Advantages of this methodology can be summarized in more resource and time efficient experimentations while providing more accurate results. This research emphasizes the quantification of 4 antioxidants extraction, at two different concentration, prepared according to an experimental procedure and measured by a Photodiode Array Detector. Experimental planning was made following a Central Composite Design, which is a type of DoE that allows to consider the quadratic component in Response Surfaces, a component that includes pure curvature studies on the model produced. This work was executed with the intention of analyzing responses, peak areas obtained from chromatograms plotted by the Detector’s system, and comprehending if the factors considered – acquired from an extensive literary review – produced the expected effect in response. Completion of this work will allow to take conclusions regarding what factors should be considered for the optimization studies of antioxidants extraction in a Oca (Oxalis tuberosa) matrix.

Valorization of grape pomace through hot compressed water extraction/hydrolysis

The world energy consumption is expected to increase strongly in coming years, because of the emerging economies. Biomass is the only renewable carbon resource that is abundant enough to be used as a source of energy Grape pomace is one of the most abundant agro-industrial residues in the world, being a good biomass resource. The aim of this work is the valorization of grape pomace from white grapes (WWGP) and from red grapes (RWGP), through the extraction of phenolic compounds with antioxidant activity, as well as through the extraction/hydrolysis of carbohydrates, using subcritical water, or hot compressed water (HCW). The main focus of this work is the optimization of the process for WWGP, while for RWGP only one set of parameters were tested. The temperatures used were 170, 190 and 210 °C for WWGP, and 180 °C for RWGP. The water flow rates were 5 and 10 mL/min, and the pressure was always kept at 100 bar. Before performing HCW assays, both residues were characterized, revealing that WWGP is very rich in free sugars (around 40%) essentially glucose and fructose, while RWGP has higher contents of structural sugars, lignin, lipids and protein. For WWGP the best results were achieved at 210 °C and 10 mL/min: higher yield in water soluble compounds (69 wt.%), phenolics extraction (26.2 mg/g) and carbohydrates recovery (49.3 wt.% relative to the existing 57.8%). For RWGP the conditions were not optimized (180 °C and 5 mL/min), and the values of the yield in water soluble compounds (25 wt.%), phenolics extraction (19.5 mg/g) and carbohydrates recovery (11.4 wt.% relative to the existing 33.5%) were much lower. The antioxidant activity of the HCW extracts from each assay was determined, the best result being obtained for WWGP, namely for extracts obtained at 210 °C (EC50=20.8 μg/mL; EC50 = half maximum effective concentration; EC50 = 22.1 μg/mL for RWGP, at 180 ºC).

An agent based architecture to support monitoring in plug and produce manufacturing systems using knowledge extraction

In recent years a set of production paradigms were proposed in order to capacitate manufacturers to meet the new market requirements, such as the shift in demand for highly customized products resulting in a shorter product life cycle, rather than the traditional mass production standardized consumables. These new paradigms advocate solutions capable of facing these requirements, empowering manufacturing systems with a high capacity to adapt along with elevated flexibility and robustness in order to deal with disturbances, like unexpected orders or malfunctions. Evolvable Production Systems propose a solution based on the usage of modularity and self-organization with a fine granularity level, supporting pluggability and in this way allowing companies to add and/or remove components during execution without any extra re-programming effort. However, current monitoring software was not designed to fully support these characteristics, being commonly based on centralized SCADA systems, incapable of re-adapting during execution to the unexpected plugging/unplugging of devices nor changes in the entire system’s topology. Considering these aspects, the work developed for this thesis encompasses a fully distributed agent-based architecture, capable of performing knowledge extraction at different levels of abstraction without sacrificing the capacity to add and/or remove monitoring entities, responsible for data extraction and analysis, during runtime.

The reasons behind the progression in PISA scores: An education production function approach using semi-parametric techniques

Research Masters