Effects of home environment and center-based child care quality on children’s

This study examined the joint effects of home environment and center-based child care quality on children’s language, communication, and early literacy development, while also considering prior developmental level. Participants were 95 children (46 boys), assessed as toddlers (mean age = 26.33 months;Time 1) and preschoolers (mean age = 68.71 months; Time 2) and their families. At both times, children attended center-based child care classrooms in the metropolitan area of Porto, Portugal. Results from hierarchical linear models indicated that home environment and preschool quality, but not center-based toddler child care quality, were associated with children’s language and literacy outcomes at Time 2. Moreover, the quality of preschool classrooms moderated the association between home environment quality and children’s language and early literacy skills – but not communication skills – at Time 2, suggesting the positive cumulative effects of home environment and preschool quality. Findings further support the existence of a detrimental effect of low preschool quality on children’s language and early literacy outcomes: positive associations among home environment quality and children’s developmental outcomes were found to reduce substantially when children attended low-quality preschool classrooms.

Multiple linear and principal component regressions for modelling ecotoxicity bioassay response

The ecotoxicological response of the living organisms in an aquatic system depends on the physical, chemical and bacteriological variables, as well as the interactions between them. An important challenge to scientists is to understand the interaction and behaviour of factors involved in a multidimensional process such as the ecotoxicological response.With this aim, multiple linear regression (MLR) and principal component regression were applied to the ecotoxicity bioassay response of Chlorella vulgaris and Vibrio fischeri in water collected at seven sites of Leça river during five monitoring campaigns (February, May, June, August and September of 2006). The river water characterization included the analysis of 22 physicochemical and 3 microbiological parameters. The model that best fitted the data was MLR, which shows: (i) a negative correlation with dissolved organic carbon, zinc and manganese, and a positive one with turbidity and arsenic, regarding C. vulgaris toxic response; (ii) a negative correlation with conductivity and turbidity and a positive one with phosphorus, hardness, iron, mercury, arsenic and faecal coliforms, concerning V. fischeri toxic response. This integrated assessment may allow the evaluation of the effect of future pollution abatement measures over the water quality of Leça River.

Economic, environmental and mixed objective functions in non-linear process optimization using simulated annealing and tabu search

Screening of topologies developed by hierarchical heuristic procedures can be carried out by comparing their optimal performance. In this work we will be exploiting mono-objective process optimization using two algorithms, simulated annealing and tabu search, and four different objective functions: two of the net present value type, one of them including environmental costs and two of the global potential impact type. The hydrodealkylation of toluene to produce benzene was used as case study, considering five topologies with different complexities mainly obtained by including or not liquid recycling and heat integration. The performance of the algorithms together with the objective functions was observed, analyzed and discussed from various perspectives: average deviation of results for each algorithm, capacity for producing high purity product, screening of topologies, objective functions robustness in screening of topologies, trade-offs between economic and environmental type objective functions and variability of optimum solutions.

Project, modelling and simulation of air stripping columns for the treatment of groundwater contaminated with volatile organic compounds

Volatile organic compounds are a common source of groundwater contamination that can be easily removed by air stripping in columns with random packing and using a counter-current flow between the phases. This work proposes a new methodology for the column design for any particular type of packing and contaminant avoiding the necessity of a pre-defined diameter used in the classical approach. It also renders unnecessary the employment of the graphical Eckert generalized correlation for pressure drop estimates. The hydraulic features are previously chosen as a project criterion and only afterwards the mass transfer phenomena are incorporated, in opposition to conventional approach. The design procedure was translated into a convenient algorithm using C++ as programming language. A column was built in order to test the models used either in the design or in the simulation of the column performance. The experiments were fulfilled using a solution of chloroform in distilled water. Another model was built to simulate the operational performance of the column, both in steady state and in transient conditions. It consists in a system of two partial non linear differential equations (distributed parameters). Nevertheless, when flows are steady, the system became linear, although there is not an evident solution in analytical terms. In steady state the resulting system of ODE can be solved, allowing for the calculation of the concentration profile in both phases inside the column. In transient state the system of PDE was numerically solved by finite differences, after a previous linearization.

Investment optimization in distribution network based on fuzzy outage parameters

This paper presents a methodology that aims to increase the probability of delivering power to any load point of the electrical distribution system by identifying new investments in distribution components. The methodology is based on statistical failure and repair data of the distribution power system components and it uses fuzzy-probabilistic modelling for system component outage parameters. Fuzzy membership functions of system component outage parameters are obtained by statistical records. A mixed integer non-linear optimization technique is developed to identify adequate investments in distribution networks components that allow increasing the availability level for any customer in the distribution system at minimum cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a real distribution network.

Modelling real solar cell using PSCAD/MATLAB

This paper presents the development of a solar photovoltaic (PV) model based on PSCAD/EMTDC - Power System Computer Aided Design – including a mathematical model study. An additional algorithm has been implemented in MATLAB software in order to calculate several parameters required by the PSCAD developed model. All the simulation study has been performed in PSCAD/MATLAB software simulation tool. A real data base concerning irradiance, cell temperature and PV power generation was used in order to support the evaluation of the implemented PV model.

Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

In the energy management of the isolated operation of small power system, the economic scheduling of the generation units is a crucial problem. Applying right timing can maximize the performance of the supply. The optimal operation of a wind turbine, a solar unit, a fuel cell and a storage battery is searched by a mixed-integer linear programming implemented in General Algebraic Modeling Systems (GAMS). A Virtual Power Producer (VPP) can optimal operate the generation units, assured the good functioning of equipment, including the maintenance, operation cost and the generation measurement and control. A central control at system allows a VPP to manage the optimal generation and their load control. The application of methodology to a real case study in Budapest Tech, demonstrates the effectiveness of this method to solve the optimal isolated dispatch of the DC micro-grid renewable energy park. The problem has been converged in 0.09 s and 30 iterations.

Ancillary services dispatch using linear programming and genetic algorithm approaches

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.

Modelling group decision simulation through argumentation

Group decision making plays an important role in today’s organisations. The impact of decision making is so high and complex, that rarely the decision making process is made individually. In Group Decision Argumentation, there is a set of participants, with different profiles and expertise levels, that exchange ideas or engage in a process of argumentation and counter-argumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. In this paper, it is proposed a Multi-Agent simulator for the behaviour representation of group members in a decision making process. Agents behave depending on rational and emotional intelligence and use persuasive argumentation to convince and make alternative choices.

Cartografia geotécnica subterrânea do maciço granítico de Arca d’Água (Paranhos): implicações para o modelo geomecânico comportamental

Mestrado em Engenharia Geotécnica e Geoambiente

Cartografia geotécnica subterrânea do maciço granítico de Arca D'Água (sector de Carvalhido–Burgães): implicações para o modelo geomecânico comportamental

Este trabalho pretende enfatizar a importância da elaboração de uma base de dados extensa e robusta para o melhoramento da cartografia geotécnica subterrânea do maciço granítico do sector de Carvalhido–Burgães (Porto). Este estudo envolveu a análise e o refinamento das principais características geomecânicas ao longo de um traçado com cerca de 1220 m, para a caracterização do maciço rochoso da galeria subterrânea Carvalhido–Burgães. Para esta caracterização foram coligidos e uniformizados dados geológicos, geotécnicos e geomecânicos relativos a várias campanhas de campo, realizadas entre 2005 e 2011, tendo estado a técnica da amostragem linear aplicada ao grau de compartimentação do maciço rochoso na base do seu estudo. Além disso, procedeu‐se a um tratamento estatístico das descontinuidades, bem como dos parâmetros geológico‐geotécnicos e geomecânicos a estas associados. O zonamento geotécnico do maciço granítico foi realizado sempre em estreita ligação com o conhecimento das características do maciço in situ. Pretende‐se que esta metodologia contribua para um melhor conhecimento da compartimentação dos maciços rochosos em geral e, em particular, do modelo geomecânico comportamental do maciço rochoso do Porto.

Estudo empírico da caracterização da selecção de fornecedores

O problema de selecção de fornecedores/parceiros é uma parte integrante e importante nas empresas que se propõem a um desempenho competitivo e lucrativo na sua área de actividade. A escolha do melhor fornecedor/parceiro passa na maior parte da vezes por fazer uma análise cuidada dos factores que podem influenciar positiva ou negativamente essa escolha. Desde cedo este problema tem vindo a ser alvo de inúmeros estudos, estudos esses que se focam essencialmente nos critérios a considerar e nas metodologias a adoptar para optimizar a escolha dos parceiros. De entre os vários estudos efectuados, muitos são os que consideram como critérios chave o custo do produto, a qualidade, a entrega e a reputação da empresa fornecedora. Ainda assim, há muitos outros que são referidos e que na sua maioria se apresentam como subcritérios. No âmbito deste trabalho, foram identificados cinco grandes critérios, Qualidade, Sistema Financeiro, Sinergias, Custo e Sistema Produtivo. Dentro desses critérios, sentiu-se a necessidade de incluir alguns subcritérios pelo que, cada um dos critérios chave apresenta cinco subcritérios. Identificados os critérios, foi necessário perceber de que forma são aplicados e que modelos são utilizados para se poder tirar o melhor partido das informações. Sabendo que existem modelos que privilegiam a programação matemática e outros que fazem uso de ponderações lineares para se identificar o melhor fornecedor, foi realizado um inquérito e contactadas empresas por forma a perceber quais os factores que mais peso tinham nas suas decisões de escolha de parceiros. Interpretados os resultados e tratados os dados foi adoptado um modelo de ponderação linear para traduzir a importância de cada um dos factores. O modelo proposto apresenta uma estrutura hierárquica e pode ser aplicado com o método AHP de Saaty ou o método de Análise de Valor. Este modelo permite escolher a ou as alternativas que melhor se adequam aos requisitos das empresas.

Actuador linear para teste de teclas na indústria automóvel

As indústrias de componentes e acessórios automóveis são um elo fundamental no processo produtivo da indústria automóvel. Neste leque industrial encontra-se a Preh Portugal, Lda, como empresa fornecedora de componentes electrónicos, mais concretamente, painéis de controlo de climatização. Os painéis fornecidos pela Preh aos seus clientes encontram-se sujeitos a rigorosos testes de qualidade e funcionalidade. Neste sentido o teste funcional das teclas surge, relacionando o curso da tecla em função de uma força actuante. Esta relação está comprometida com uma curva característica padrão para o tipo de tecla. Para além destes compromissos, também é necessário que a tecla feche e abra o seu contacto eléctrico. Esta tese foca-se no desenvolvimento do teste de teclas, apresentando uma alteração ao sistema actual com a introdução de um sistema embebido, no intuito de flexibilizar o sistema de teste e reduzindo custos. O sistema embebido pretende dar capacidade de processamento ao teste e, desta forma, substituir o actual computador como elemento de processamento. A solução implementada consistiu numa mudança estrutural, através da inclusão do sistema embebido entre o computador e o sistema de deslocamento. Passando o foco central do processo de teste a residir no sistema embebido, este tem de estabelecer comunicações com os restantes elementos intervenientes no teste. Estabelece comunicações série RS-232 com o sistema de deslocamento (leitura do curso e força na tecla), Ethernet com o computador (comandos, parâmetros e resultados) e CAN com o painel de controlo de climatização (fecho/abertura do contacto eléctrico). A concretização deste projecto resultou numa nova estrutura e aplicação, a qual é facilmente integrada na linha de produção com as vantagens de ser menos onerosa e mais flexível, conforme o pretendido.

Modelling and segmentation of the vocal tract during speech production by using deformable models in magnetic resonance images

The first and second authors would like to thank the support of the PhD grants with references SFRH/BD/28817/2006 and SFRH/PROTEC/49517/2009, respectively, from Fundação para a Ciência e Tecnol ogia (FCT). This work was partially done in the scope of the project “Methodologies to Analyze Organs from Complex Medical Images – Applications to Fema le Pelvic Cavity”, wi th reference PTDC/EEA- CRO/103320/2008, financially supported by FCT.

Removal of Cd(II), Zn(II) and Pb(II) from aqueous solutions by brown marine macro algae: kinetic modelling

Specific marine macro algae species abundant at the Portuguese coast (Laminaria hyperborea, Bifurcaria bifurcata, Sargassum muticum and Fucus spiralis) were shown to be effective for removing toxic metals (Cd(II), Zn(II) and Pb(II)) from aqueous solutions. The initial metal concentrations in solution were about 75–100 mg L−1. The observed biosorption capacities for cadmium, zinc and lead ions were in the ranges of 23.9–39.5, 18.6–32.0 and 32.3–50.4 mg g−1, respectively. Kinetic studies revealed that the metal uptake rate was rather fast, with 75% of the total amount occurring in the first 10 min for all algal species. Experimental data were well fitted by a pseudo-second order rate equation. The contribution of internal diffusion mechanism was significant only to the initial biosorption stage. Results indicate that all the studied macro algae species can provide an efficient and cost-effective technology for eliminating heavy metals from industrial effluents.