Bio-synthesis of nanosized semiconductors using mine wastes as material sources

This work describes the synthesis of nanosized metal sulfides and respective SiO2 and/or TiO2 composites in high yield via a straightforward process, under ambient conditions (temperature and pressure), by adding to aqueous metals a nutrient solution containing biologically generated sulfide from sulfate-reducing bacteria (SRB). The nanoparticles‘ (NPs) morphological properties were shown not to be markedly altered by the SRB growth media composition neither by the presence of bacterial cells. We further extended the work carried out, using the effluent of a bioremediation system previously established. The process results in the synthesis of added value products obtained from metal rich effluents, such as Acid Mine Drainage (AMD), when associated with the bioremediation process. Precipitation of metals using sulfide allows for the possibility of selective recovery, as different metal sulfides possess different solubilities. We have evaluated the selective precipitation of CuS, ZnS and FeS as nanosized metal sulfides. Again, we have also tested the precipitation of these metal sulfides in the presence of support structures, such as SiO2. Studies were carried out using both artificial and real solutions in a continuous bioremediation system. We found that this method allowed for a highly selective precipitation of copper and a lower selectivity in the precipitation of zinc and iron, though all metals were efficiently removed (>93% removal). This research has also demonstrated the potential of ZnS-TiO2 nanocomposites as catalysts in the photodegradation of organic pollutants using the cationic dye, Safranin-T, as a model contaminant. The influence of the catalyst amount, initial pH and dye concentration were also evaluated. Finally, the efficiency of the precipitates as catalysts in sunlight mediated photodegradation was investigated, using different volumes of dye-contaminated water (150 mL and 10 L). This work demonstrates that all tested composites have the potential to be used as photocatalysts for the degradation of Safranin-T.

Design of neuro-fuzzy models by evolutionary and gradient-based algorithms

All systems found in nature exhibit, with different degrees, a nonlinear behavior. To emulate this behavior, classical systems identification techniques use, typically, linear models, for mathematical simplicity. Models inspired by biological principles (artificial neural networks) and linguistically motivated (fuzzy systems), due to their universal approximation property, are becoming alternatives to classical mathematical models. In systems identification, the design of this type of models is an iterative process, requiring, among other steps, the need to identify the model structure, as well as the estimation of the model parameters. This thesis addresses the applicability of gradient-basis algorithms for the parameter estimation phase, and the use of evolutionary algorithms for model structure selection, for the design of neuro-fuzzy systems, i.e., models that offer the transparency property found in fuzzy systems, but use, for their design, algorithms introduced in the context of neural networks. A new methodology, based on the minimization of the integral of the error, and exploiting the parameter separability property typically found in neuro-fuzzy systems, is proposed for parameter estimation. A recent evolutionary technique (bacterial algorithms), based on the natural phenomenon of microbial evolution, is combined with genetic programming, and the resulting algorithm, bacterial programming, advocated for structure determination. Different versions of this evolutionary technique are combined with gradient-based algorithms, solving problems found in fuzzy and neuro-fuzzy design, namely incorporation of a-priori knowledge, gradient algorithms initialization and model complexity reduction.

Cartografia solar: estimativa do potencial solar no município de Albufeira

A dependência energética dos combustíveis fósseis é, reconhecidamente, uma das principiais inquietações das economias mundiais. Questões como a concentração de gases de efeito de estufa, poluição atmosférica e o facto de estes combustíveis serem esgotáveis estão cada vez mais no centro das atenções globais, ao que se associa um aumento significativo da população mundial e por conseguinte, dos consumos. Contudo, começa a ser notório um empenho na procura de soluções viáveis que possam contornar esta dependência, nomeadamente no desenvolvimento de tecnologia que permita o aproveitamento de fontes de energias renováveis. Neste sentido, Portugal encontra-se numa posição privilegiada sendo, dos países da europa, o que apresenta índices mais elevados de radiação solar por unidade de superfície, em média cerca de 1500kWh/m2/ano. O sucesso do aproveitamento de fontes de energia renováveis vai depender, em muito, da análise e compreensão do potencial determinado pelas realidades locais, pelos dados meteorológicos, pelas tecnologias existentes e por fatores económicos. (WITTMAN et al., 1997). O processo para estimativa o potencial não é simples e implica uma interação disciplinar; no entanto tendem a aparecer modelos que, a montante do processo, simplificam a análise espacial da energia solar. Neste campo, o contributo dos Sistemas de Informação Geográfica tem sido fundamental, oferecendo um conjunto de ferramentas de processamento de dados bastantes úteis para a modelação solar. A presente dissertação combina a utilização dos SIG com a análise do potencial solar, apresentando como objetivos principais: i) a estimativa do potencial solar no Município de Albufeira e ii) a criação de uma aplicação que disponibilize os resultados através da web, facilitando a consulta e análise espacial dos mesmos.

Predicting intention to work with social robots

The growing number of robotic solutions geared to interact socially with humans, social robots, urge the study of the factors that will facilitate or hinder future human robot collaboration. Hence the research question: what are the factors that predict intention to work with a social robot in the near future. To answer this question the following socio-cognitive models were studied, the theory of reasoned action, the theory of planned behavior and the model of goal directed behavior. These models purport that all the other variables will only have an indirect effect on behavior. That is, through the variables of the model. Based on the research on robotics and social perception/ cognition, social robot appearance, belief in human nature uniqueness, perceived warmth, perceived competence, anthropomorphism, negative attitude towards robots with human traits and negative attitudes towards interactions with robots were studied for their effects on attitude towards working with a social robot, perceived behavioral control, positive anticipated emotions and negative anticipated emotions. Study 1 identified the social representation of robot. Studies 2 to 5 investigated the psychometric properties of the Portuguese version of the negative attitude towards robots scale. Study 6 investigated the psychometric properties of the belief in human nature uniqueness scale. Study 7 tested the theory of reasoned action and the theory of planned behavior. Study 8 tested the model of goal directed behavior. Studies 7 and 8 also tested the role of the external variables. Study 9 tested and compared the predictive power of the three socio-cognitive models. Finally conclusion are drawn from the research results, and future research suggestions are offered.

A produção de culturas ao ar livre em modo de produção biológico, no Algarve: um diagnóstico do sector e contas de cultura

Dissertação de mestrado, Hortofruticultura, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2014

Crescimento da atividade turística em Faro através de experiências criativas

Dissertação de mestrado, Marketing, Faculdade de Economia, Universidade do Algarve, 2015

Interfaces humano-computador com reconhecimento de gestos e representação holográfica

Dissertação de mestrado, Engenharia Elétrica e Eletrónica, Instituto Superior de Engenharia, Universidade do Algarve, 2015

Acessibilidade e mobilidade no espaço público dos centros históricos: proposta de um percurso histórico-cultural acessível no núcleo histórico Vila Adentro de Faro

Dissertação de mestrado, Arquitetura Paisagista, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Technical and economic viability of traps in the portuguese fishery of deepwater rose shrimp (Parapenaeus longirostris)

Dissertação de mestrado, Aquacultura e Pescas, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

As plantas e o bem-estar humano em ambientes extremos

Dissertação de mestrado, Arquitectura Paisagista, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2014

Desenvolvimento de filmes à base de quitosano com microencapsulação de agentes naturais: cinéticas de libertação

Dissertação de mestrado, Tecnologia de Alimentos, Instituto Superior de Engenharia, Universidade do Algarve, 2013

Achados arqueológicos subaquáticos no Algarve: as atividades comerciais entre a Idade do Ferro e período romano

Dissertação de mestrado, Arqueologia (Teoria e Métodos da Arqueologia), Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2015

Caracterização da agitação marítima central de energia das ondas do Pico, Açores

Dissertação de mestrado, Energias Renováveis e Gestão de Energia, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Diversifying medical imaging of breast lesions

Dissertação de mestrado, Engenharia Informática, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Reintegração paisagística de infraestruturas rodoviárias: o caso da Estrada Nacional 122 e do Itinerário Complementar 27

Dissertação de Mestrado, Arquitetura Paisagista, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015