Effect of surfactant on PDLC films with and without permanent memory effect

Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

Expanding the magic circle in pervasive casual play

Dissertação para obtenção do Grau de Doutor em Informática

Machine learning Gaussian short rate

Dissertação para obtenção do Grau de Doutor em Estatística e Gestão do Risco

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.

Automated quantitative analysis of MCC-IMS spectra

Ion Mobility Spectrometry coupled with Multi Capillary Columns (MCC -IMS) is a fast analytical technique working at atmospheric pressure with high sensitivity and selectivity making it suitable for the analysis of complex biological matrices. MCC-IMS analysis generates its information through a 3D spectrum with peaks, corresponding to each of the substances detected, providing quantitative and qualitative information. Sometimes peaks of different substances overlap, making the quantification of substances present in the biological matrices a difficult process. In the present work we use peaks of isoprene and acetone as a model for this problem. These two volatile organic compounds (VOCs) that when detected by MCC-IMS produce two overlapping peaks. In this work it’s proposed an algorithm to identify and quantify these two peaks. This algorithm uses image processing techniques to treat the spectra and to detect the position of the peaks, and then fits the data to a custom model in order to separate the peaks. Once the peaks are separated it calculates the contribution of each peak to the data.

Experimental and modeling studies on reverse electrodialysis for sustainable power generation

A potentially renewable and sustainable source of energy is the chemical energy associated with solvation of salts. Mixing of two aqueous streams with different saline concentrations is spontaneous and releases energy. The global theoretically obtainable power from salinity gradient energy due to World’s rivers discharge into the oceans has been estimated to be within the range of 1.4-2.6 TW. Reverse electrodialysis (RED) is one of the emerging, membrane-based, technologies for harvesting the salinity gradient energy. A common RED stack is composed by alternately-arranged cation- and anion-exchange membranes, stacked between two electrodes. The compartments between the membranes are alternately fed with concentrated (e.g., sea water) and dilute (e.g., river water) saline solutions. Migration of the respective counter-ions through the membranes leads to ionic current between the electrodes, where an appropriate redox pair converts the chemical salinity gradient energy into electrical energy. Given the importance of the need for new sources of energy for power generation, the present study aims at better understanding and solving current challenges, associated with the RED stack design, fluid dynamics, ionic mass transfer and long-term RED stack performance with natural saline solutions as feedwaters. Chronopotentiometry was used to determinate diffusion boundary layer (DBL) thickness from diffusion relaxation data and the flow entrance effects on mass transfer were found to avail a power generation increase in RED stacks. Increasing the linear flow velocity also leads to a decrease of DBL thickness but on the cost of a higher pressure drop. Pressure drop inside RED stacks was successfully simulated by the developed mathematical model, in which contribution of several pressure drops, that until now have not been considered, was included. The effect of each pressure drop on the RED stack performance was identified and rationalized and guidelines for planning and/or optimization of RED stacks were derived. The design of new profiled membranes, with a chevron corrugation structure, was proposed using computational fluid dynamics (CFD) modeling. The performance of the suggested corrugation geometry was compared with the already existing ones, as well as with the use of conductive and non-conductive spacers. According to the estimations, use of chevron structures grants the highest net power density values, at the best compromise between the mass transfer coefficient and the pressure drop values. Finally, long-term experiments with natural waters were performed, during which fouling was experienced. For the first time, 2D fluorescence spectroscopy was used to monitor RED stack performance, with a dedicated focus on following fouling on ion-exchange membrane surfaces. To extract relevant information from fluorescence spectra, parallel factor analysis (PARAFAC) was performed. Moreover, the information obtained was then used to predict net power density, stack electric resistance and pressure drop by multivariate statistical models based on projection to latent structures (PLS) modeling. The use in such models of 2D fluorescence data, containing hidden, but extractable by PARAFAC, information about fouling on membrane surfaces, considerably improved the models fitting to the experimental data.

How do current term structure model behave beyond the last liquid point?: A comparison of the DNS and Smith-Wilson methods

A Work Project, presented as part of the requirements for the Award of a Master’s Double Degree in Finance from Maastricht University and NOVA – School of Business and Economics

Vila Galé hotels' internationalization to Cape Verde

The intent of this paper is to assess the most suitable internationalization strategy for Vila Galé Hotels into the Cape Verdean market (namely into Sal Island), under an investment on a 5-star resort with an all-inclusive system. First, the company’s historic moves onto opening new business units, its corporate strategy triangle and its brand communication channels were studied. Afterwards, the macroeconomics, the hotel industry and other relevant trends of the country at stake were analysed in order to understand the best positioning for Vila Galé in the market as well as the most fitting plan for the project. Finally, it was shown that building a 5-star resort is the most appropriate mode of entry into this market. Keywords:

Segurança privada

This work aims to reflect on the way as the security has come to evolue, fitting new private actors who now play functions, long ago private the public beings. This new situation raises issues of privatization of public authority, which puts into question the ius imperii and rights of citizens. Although private security is a growing reality, and that it needed to study.

A importância da comunicação estratégica na alteração de comportamentos na sociedade : o caso Sociedade Ponto Verde

A comunicação estratégica poderá ser entendida como a comunicação alinhada com a estratégia global de uma organização para alcançar o seu posicionamento estratégico. Ou seja, para alcançar o sucesso, uma organização precisa de ter uma comunicação consistente com a sua identidade e, ao mesmo tempo, adequada ao seu público-alvo e ao tipo de sector onde se insere. Só desta forma consegue conquistar a confiança e fidelidade dos consumidores, essenciais para o alcance dos objectivos. Em relação à alteração comportamentos, é essencial que as empresas costruam uma estratégia de comunicação coerente e consistente, adaptando as mensagens e os públicos-alvo escolhidos. Neste âmbito da alteração de comportamentos, estudou-se neste trabalho a Sociedade Ponto Verde (SPV), uma associação portuguesa sem fins lucrativos, que actua no âmbito da gestão e reciclagem de resíduos de embalagens. Procurou estudar-se a evolução da sua comunicação ao longo dos anos e a forma como adaptou as suas mensagens, de forma a conseguir incutir na sociedade portuguesa a importância do comportamento de reciclagem de resíduos. Neste estudo, procedeu-se a uma análise individualizada de cada uma das campanhas de comunicação da SPV e, posteriormente, aplicou-se um inquérito por questionário, para verificar a eficácia das mesmas campanhas perante o público-alvo. A metodologia utilizada neste trabalho consistiu na distribuição de um inquérito por questionário online, que permitiu recolher uma amostra probabilística por conveniência. Em seguida, recolhidos e tratados os dados referentes às 482 respostas recebidas, utilizou-se o programa SPSS (Stastitical Package for the Social Sciences) para analisar, tratar e discutir os resultados obtidos. Estes resultados demonstraram que, de facto, não houve uma grande percentagem de inquiridos que se lembram das campanhas da SPV. Os resultados são positivos e não desmentem a qualidade e coerência das mensagens, mas a verdade é que a percentagem de indivíduos que não se lembra de algumas campanhas chega a ser elevada (em especial nas campanhas iniciais da organização, quando existia falta de uma estratégia coerente). Justifica-se este facto, em parte, pelo excesso de informação e estímulos a que as pessoas estão sujeitas, pelo que a informação que retêm não fica para sempre, acabando por dar lugar a outras informações. Os indivíduos são inconscientemente selectivos com a informação que processam e guardam, pois não seria possível guardar toda a informação que lhes é transmitida. No que diz respeito à comunicação estratégica que visa alterar uma atitude e, posteriormente, um comportamento, conclui-se que, no geral, o comportamento das pessoas inquiridas aparenta ter sido influenciado pela comunicação da SPV, caso contrário, as respostas afirmativas quanto à reciclagem e de concordância com algumas das afirmações teriam sido inferiores. Ou seja, mesmo reconhecendo o carácter um pouco enviesado da amostra (não deverá ser considerada representativa da população portuguesa), é possível dizer que a estratégia de comunicação da SPV (em especial a partir de 2005) foi eficiente. Palavras-