Tool for discovering sequential patterns in financial markets

The goal of this thesis is the study of a tool that can help analysts in finding sequential patterns. This tool will have a focus on financial markets. A study will be made on how new and relevant knowledge can be mined from real life information, potentially giving investors, market analysts, and economists new basis to make informed decisions. The Ramex Forum algorithm will be used as a basis for the tool, due to its ability to find sequential patterns in financial data. So that it further adapts to the needs of the thesis, a study of relevant improvements to the algorithm will be made. Another important aspect of this algorithm is the way that it displays the patterns found, even with good results it is difficult to find relevant patterns among all the studied samples without a proper result visualization component. As such, different combinations of parameterizations and ways to visualize data will be evaluated and their influence in the analysis of those patterns will be discussed. In order to properly evaluate the utility of this tool, case studies will be performed as a final test. Real information will be used to produce results and those will be evaluated in regards to their accuracy, interest, and relevance.

Image processing for displacement measurements

Since the invention of photography humans have been using images to capture, store and analyse the act that they are interested in. With the developments in this field, assisted by better computers, it is possible to use image processing technology as an accurate method of analysis and measurement. Image processing's principal qualities are flexibility, adaptability and the ability to easily and quickly process a large amount of information. Successful examples of applications can be seen in several areas of human life, such as biomedical, industry, surveillance, military and mapping. This is so true that there are several Nobel prizes related to imaging. The accurate measurement of deformations, displacements, strain fields and surface defects are challenging in many material tests in Civil Engineering because traditionally these measurements require complex and expensive equipment, plus time consuming calibration. Image processing can be an inexpensive and effective tool for load displacement measurements. Using an adequate image acquisition system and taking advantage of the computation power of modern computers it is possible to accurately measure very small displacements with high precision. On the market there are already several commercial software packages. However they are commercialized at high cost. In this work block-matching algorithms will be used in order to compare the results from image processing with the data obtained with physical transducers during laboratory load tests. In order to test the proposed solutions several load tests were carried out in partnership with researchers from the Civil Engineering Department at Universidade Nova de Lisboa (UNL).

Wind Power in the Portuguese Landscape: Global Concerns and Local Costs

Wind turbines and solar panels are becoming second nature in Portugal, as its occurrence in the country becomes ubiquitous. Somehow, one could argue that renewable energy in Portugal is in the process of ‘naturalisation’ as part of a new – mechanised, but environmentally benign – landscape. Portuguese Institute for the Conservation of Nature and Biodiversity (ICNB) has shown an ambiguous stance on this issue, defending global concerns towards renewable energy, while at the same time attempting to engage locals in the preservation of extensive ‘classified areas’. In the course of this research, we tried to focus on these incongruities and to analyse how they are impacting local communities during the process of wind power installation.

Tool for spatial and dynamic representation of artistic performances

This proposal aims to explore the use of available technologies for video representation of sets and performers in order to serve as support for composition processes and artistic performer rehearsals, while focusing in representing the performer’s body and its movements, and its relation with objects belonging to the three-dimensional space of their performances. This project’s main goal is to design and develop a system that can spatially represent the performer and its movements, by means of capturing processes and reconstruction using a camera device, as well as enhance the three-dimensional space where the performance occurs by allowing interaction with virtual objects and by adding a video component, either for documentary purposes, or for live performances effects (for example, using video mapping video techniques in captured video or projection during a performance).

The brushstroke and materials of Amadeo de Souza-Cardoso combined in an authentication tool

Nowadays, authentication studies for paintings require a multidisciplinary approach, based on the contribution of visual features analysis but also on characterizations of materials and techniques. Moreover, it is important that the assessment of the authorship of a painting is supported by technical studies of a selected number of original artworks that cover the entire career of an artist. This dissertation is concerned about the work of modernist painter Amadeo de Souza-Cardoso. It is divided in three parts. In the first part, we propose a tool based on image processing that combines information obtained by brushstroke and materials analysis. The resulting tool provides qualitative and quantitative evaluation of the authorship of the paintings; the quantitative element is particularly relevant, as it could be crucial in solving authorship controversies, such as judicial disputes. The brushstroke analysis was performed by combining two algorithms for feature detection, namely Gabor filter and Scale Invariant Feature Transform. Thanks to this combination (and to the use of the Bag-of-Features model), the proposed method shows an accuracy higher than 90% in distinguishing between images of Amadeo’s paintings and images of artworks by other contemporary artists. For the molecular analysis, we implemented a semi-automatic system that uses hyperspectral imaging and elemental analysis. The system provides as output an image that depicts the mapping of the pigments present, together with the areas made using materials not coherent with Amadeo’s palette, if any. This visual output is a simple and effective way of assessing the results of the system. The tool proposed based on the combination of brushstroke and molecular information was tested in twelve paintings obtaining promising results. The second part of the thesis presents a systematic study of four selected paintings made by Amadeo in 1917. Although untitled, three of these paintings are commonly known as BRUT, Entrada and Coty; they are considered as his most successful and genuine works. The materials and techniques of these artworks have never been studied before. The paintings were studied with a multi-analytical approach using micro-Energy Dispersive X-ray Fluorescence spectroscopy, micro-Infrared and Raman Spectroscopy, micro-Spectrofluorimetry and Scanning Electron Microscopy. The characterization of Amadeo’s materials and techniques used on his last paintings, as well as the investigation of some of the conservation problems that affect these paintings, is essential to enrich the knowledge on this artist. Moreover, the study of the materials in the four paintings reveals commonalities between the paintings BRUT and Entrada. This observation is supported also by the analysis of the elements present in a photograph of a collage (conserved at the Art Library of the Calouste Gulbenkian Foundation), the only remaining evidence of a supposed maquete of these paintings. The final part of the thesis describes the application of the image processing tools developed in the first part of the thesis on a set of case studies; this experience demonstrates the potential of the tool to support painting analysis and authentication studies. The brushstroke analysis was used as additional analysis on the evaluation process of four paintings attributed to Amadeo, and the system based on hyperspectral analysis was applied on the painting dated 1917. The case studies therefore serve as a bridge between the first two parts of the dissertation.

Support in decision-making under uncertainty: a project risk assessment tool development and supplementary advances

A foremost dispute that persists on the contemporary world’s agenda is change. The on-going social/technological/economic changes create a competitive and challenging environment for companies to endure. To benefit from these changes, world economies partially depend on emerging Small and Medium Enterprises (SMEs) and their adaptability skills, and subsequently the development of an integrated capability to innovate has become the prime strategy for most of SMEs to subsist and grow. However, innovation and change are always somewhat bonded to an inherent risk development, which subsequently brings on the necessity of a revision of risk management approaches in innovative processes, whose importance SMEs tend to disregard. Additionally, little efforts have been made to improve and create empirical models, metrics and tools to assist SMEs managing latent risks in their innovative projects. This work seeks to present and discuss a solution to support SMEs in engaging on systematic risk management practices, which consists on an integrated risk assessment and response support web-based tool - Spotrisk® - designed for SMEs. On the other hand, an inherent subjectivity is linked with risk management and identification processes, due to uncertainty trait of its nature, for each individual perceives situations according to his own idiosyncrasy, which brings complications in normalizing risk profiles and procedures. This essay aims to bring insights concerning the support in decision-making processes under uncertainty, by addressing issues related with the risk behavior character among individuals. To address such issues, subjects of neuroscience or psychology are explored and models to identify such character are proposed, as well as models to improve presented tool. This work attempts to go beyond the restrictive aim of endeavoring on technical improvement dissertation, and in embraces an exploratory conceptualization concerning micro, small and medium businesses’ traits regarding risk characters and project risk assessment tools.

Social media: The new tool in firms’ marketing strategies

In this work project we discuss the advantages and disadvantages of social media as a marketing tool. Four international cases were analyzed to provide anecdotal evidence of how social and viral marketing have been used by four firms in very different industries. We reviewed empirical evidence on the topic to discuss the main components of viral marketing. We concluded that positive (electronic) word of mouth, short response time and seeding through high network value customers are the main drivers of the success of a viral marketing campaign. We also conducted a study of the Portuguese telecommunications industry, in particular, the mobile segment. We found that the three main players operating in this market have been using social media successfully as a marketing tool in a strategic approach to the 14-25 years old segment.

Foresight exercises as a tool for decision-making: the example of two case studies in health

Based on the report for the unit “Foresight Methods Analysis” of the PhD programme on Technology Assessment at the Universidade Nova de Lisboa, under the supervision of Prof. Dr. António B. Moniz

Is low worker mobility evidence for monopsony power?

Major in Competition and Regulation

Contributo da curva de débito-volume na detecção da obstrução da via aérea central

RESUMO: Introdução: A obstrução da via aérea central (OVAC) refere-se a um processo patológico que conduz a limitação do fluxo de ar ao nível do espaço glótico e subglótico, traqueia e brônquios principais. O seu correcto diagnóstico e tratamento constituem um território de interesse e preocupação para os profissionais de saúde, e requerem um profundo conhecimento da sua etiologia, fisiologia, diagnóstico e opções terapêuticas dado o potencial em originar significativa morbilidade e mortalidade. A avaliação da OVAC abrange múltiplas vertentes, entre as quais se salienta o componente clínico (sinais e sintomas), a repercussão fisiopatológica (função respiratória) e o estudo imagiológico (TC do tórax e broncoscopia). A compilação destes dados associada à etiologia, constituem factores importantes para estabelecer o prognóstico, determinar a necessidade de tratamento ou delinear uma futura intervenção terapêutica. A broncoscopia é o Gold Standard de avaliação desta condição, mas desde há cerca de 40 anos a curva de débito-volume constitui uma ferramenta não invasiva de detecção de OVAC. Apesar deste método ser utilizado até os nossos dias, poucos têm sido os estudos com o objectivo de verificar a sensibilidade e especificidade da curva de débito-volume na detecção de OVAC, bem como averiguar a relação entre as alterações morfológicas e quantitativas da mesma com a localização, o tipo e o grau da obstrução. Material e Métodos: Entre 1 de Novembro de 2009 e 30 de Abril de 2010, os doentes com indicação para a realização de broncoscopia diagnóstica ou terapêutica na Unidade de Técnicas Invasivas Pneumológicas (UTIP) do Centro Hospitalar Lisboa Norte – Hospital Pulido Valente (CHLN – HPV) foram seleccionados de forma consecutiva de acordo com os critérios de inclusão e exclusão. As avaliações (broncoscopia, curva de débito-volume e avaliação da dispneia) realizaram-se com um intervalo de tempo máximo de sete dias. A broncoscopia flexível foi realizada segundo as normas da British Thoracic Society e as curvas de débito-volume segundo as normas da ATS/ERS TaskForce 2005. Para a avaliação da dispneia recorreu-se à escala de dispneia MRC (Medical Research Council). Um painel de peritos realizou a avaliação da morfologia da curva de débito-volume (sugestiva ou não de OVAC) e um elemento independente a verificação dos critérios quantitativos e morfológicos (variáveis intra e extratorácica e fixa) da curva. O estudo foi aprovado pela Comissão de Ética para a Saúde do CHLN e todos os doentes assinaram um consentimento informado de participação. Resultados: Estudaram-se 82 doentes, 36 (44%) dos quais com OVAC. A predominância foi do género masculino, em relação ao feminino. A sensibilidade e especificidade dos critérios quantitativos da curva de débito-volume na detecção de OVAC foi de 91.3% e 88.9% respectivamente. Quando se utilizaram os critérios morfológicos da curva de débito-volume os valores foram de 93.5% e 30.6%. A agregação dos critérios morfológicos e quantitativos permitiu alcançar uma sensibilidade de 95.7% e especificidade de 86.1%. Nesta amostra, o critério quantitativo com maior ocorrência foi o FEF50/FIF50≥1 (83% dos doentes com OVAC). Este mostrou relacionar-se com todas as localizações de obstrução excepto o terço médio da traqueia. Mostrou, ainda, ter uma relação forte e positiva com o grau e tipo de obstrução (intra e extraluminal). O segundo foi o FEV1/PEF≥8, presente em 36% dos casos de OVAC. Relacionou-se com as obstruções no terço inferior da traqueia e brônquio principal direito (BPD). Também apresentou relação forte e positiva com o grau de obstrução e com os tipos de obstrução anteriormente descritos. Quanto à sintomatologia foi possível associar o grau de obstrução com o de dispneia e a presença de estridor com o grau e localização da obstrução na traqueia. Conclusões: Os resultados deste estudo demonstram que os critérios quantitativos da curva de débito-volume têm elevada sensibilidade e especificidade na detecção de OVAC. O critério FEV50/FIF50≥1 tem um bom poder discriminativo na detecção dessa condição, tendo sido relacionado com a localização, o grau e o tipo de obstrução. O critério FEV1/PEF≥8, embora com menor poder discriminativo, também se relaciona com o grau, a localização e o tipo de obstrução. A morfologia da curva tem uma boa sensibilidade mas baixa especificidade na detecção de OVAC, mas a agregação entre os critérios morfológicos e quantitativos aumenta a sensibilidade e especificidade. A dispneia e o estridor foram relacionados com o grau de obstrução e o último com a localização ao nível da traqueia.-------------ABSTRACT: Introduction: Central airway obstruction (CAO) refers to a pathological process that leads to restriction of airflow at the level of the glottis and subglottis, trachea and main bronchi. It’s proper diagnosis and treatment is an area of interest and concern to health professionals, and requires a deep knowledge of its etiology, physiology, diagnosis and treatment options, concerning the potential to cause significant morbidity and mortality. The evaluation of CAO covers multiple aspects: the clinical component (signs and symptoms), the pathophysiological effect (lung function) and the imaging study (bronchoscopy and chest CT). The compilation of this data associated with the etiology, are important for establishing prognosis, determine the need for treatment or outline a future therapeutic intervention. Bronchoscopy is the gold standard for evaluating this condition, but for the last 40 years the flow-volume loop has been used as a noninvasive tool for detecting CAO. Although this method is still in use, only few studies were made in order to verify its sensitivity and specificity in detecting CAO, and investigate the relation between morphological and quantitative changes of the curve to location, type and degree of obstruction. Methods: Between 1st November 2009 and 30th April 2010, patients with indication to perform diagnostic or therapeutic bronchoscopy in Interventional Pulmonology Unit - Hospital Pulido Valente (CHLN - HPV), were selected consecutively according to the inclusion and exclusion criteria. All assessments (bronchoscopy, flow-volume loop and dyspnea) were carried out within a period of seven days. The flexible bronchoscopy was performed according to the standards of the British Thoracic Society and the flow-volume loops in accordance with the standards of the ATS / ERS Taskforce 2005. For the evaluation of dyspnea was used to MRC dyspnea scale (Medical Research Council). A panel of experts evaluated the morphology of flow-volume loop (suggestive or non-suggestive of CAO) and an independent element established the quantitative criteria and morphological (intra and extrathoracic variables and fixed) of the curve. This study was approved by the Ethics Committee for Health CHLN and all the patients signed an informed consent to participate. Results: We’ve studied 82 patients, 36 (44%) of those with CAO. The majority of the patients were males, compared to females. The sensitivity and specificity of the quantitative criteria of the flow-volume curve in detecting CAO was 91.3% and 88.9% respectively. When we used the morphological criteria of flow-volume loop these values were 93.5% and 30.6%. The combination of quantitative and morphological criteria produced values of 95.7% sensitivity and 86.1% specificity. FEF50/FIF50≥1 was the most representative quantitative criterion (83% of patients with CAO) and it was correlated with all sites of obstruction except in the middle third of the trachea. It has shown a strong and positive association with the degree and type of obstruction (intra and extraluminal). The second was the FEV1/PEF ≥ 8, present in 36% of cases of CAO. It could be correlated with the obstruction in the lower third of the trachea and right main bronchus. It also showed a strong positive relation with the degree and types of obstruction described above. Regarding symptoms, we found a link between the degree of obstruction and dyspnea. The presence of stridor was correlated with the location and the degree of obstruction in the trachea. Conclusion: The results of this study demonstrate that the quantitative criteria of the flow-volume loop have a high sensitivity and specificity in detecting CAO. The criterion FEV50/FIF50 ≥ 1 has a good discriminative power to detect this condition and was related to the location, degree and type of obstruction. The criterion FEV1/PEF ≥ 8, although with a weaker discriminative power, also relates to the degree, location and type of obstruction. The morphology of the curve has a good sensitivity but low specificity in detecting CAO although the combination between the morphological and quantitative criteria increases sensitivity and specificity. Dyspnea and stridor were related to the degree of obstruction and the last one with its location in the trachea.

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.

Enel green power: Equity research

UNL - NSBE