Ensemble classifiers in remote sensing: a comparative analysis

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Automatic delimitation of the clinical region of interest in ultra-wide field of view images of the retina

Retinal ultra-wide field of view images (fundus images) provides the visu-alization of a large part of the retina though, artifacts may appear in those images. Eyelashes and eyelids often cover the clinical region of interest and worse, eye-lashes can be mistaken with arteries and/or veins when those images are put through automatic diagnosis or segmentation software creating, in those cases, the appearance of false positives results. Correcting this problem, the first step in the development of qualified auto-matic diseases diagnosis programs can be done and in that way the development of an objective tool to assess diseases eradicating the human error from those processes can also be achieved. In this work the development of a tool that automatically delimitates the clinical region of interest is proposed by retrieving features from the images that will be analyzed by an automatic classifier. This automatic classifier will evaluate the information and will decide which part of the image is of interest and which part contains artifacts. The results were validated by implementing a software in C# language and validated through a statistical analysis. From those results it was confirmed that the methodology presented is capable of detecting artifacts and selecting the clin-ical region of interest in fundus images of the retina.

Study of the electromyographic signal dynamic behavior in Amyotrophic Lateral Sclerosis (ALS)

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by motor neurons degeneration, which reduces muscular force, being very difficult to diagnose. Mathematical methods are used in order to analyze the surface electromiographic signal’s dynamic behavior (Fractal Dimension (FD) and Multiscale Entropy (MSE)), evaluate different muscle group’s synchronization (Coherence and Phase Locking Factor (PLF)) and to evaluate the signal’s complexity (Lempel-Ziv (LZ) techniques and Detrended Fluctuation Analysis (DFA)). Surface electromiographic signal acquisitions were performed in upper limb muscles, being the analysis executed for instants of contraction for ipsilateral acquisitions for patients and control groups. Results from LZ, DFA and MSE analysis present capability to distinguish between the patient group and the control group, whereas coherence, PLF and FD algorithms present results very similar for both groups. LZ, DFA and MSE algorithms appear then to be a good measure of corticospinal pathways integrity. A classification algorithm was applied to the results in combination with extracted features from the surface electromiographic signal, with an accuracy percentage higher than 70% for 118 combinations for at least one classifier. The classification results demonstrate capability to distinguish members between patients and control groups. These results can demonstrate a major importance in the disease diagnose, once surface electromyography (sEMG) may be used as an auxiliary diagnose method.

Land cover mapping analysis and urban growth modeling using remote sensing techniques

The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning. The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades. The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software. The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.

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.

Do social factors matter for innovation, and do they influence innovation in Aeronautics Industry?

Based on the report for the course on “Social Factors of Innovation” of the PhD Program on Technology Assessment, supervised by Prof. António Brandão Moniz, Monte de Caparica, University NOVA Lisbon, Faculty of Sciences and Technology, July 2013

Os Sistemas de Informação Geográfica e Detecção Remota na Determinação das Regiões de Risco por Malária na Guiné-Bissau

A malária é uma doença infecciosa complexa, que resulta do “vírus” plasmodium, e manifesta-se sob cinco tipos distintos de espécies protozoários (plasmodium vivax, plasmodium ovale, plasmodium falciparum, plasmodium malariae e plasmodium Knowlesi), atacando sobretudo os glóbulos vermelhos. Considerada a quinta maior causa de morte por doenças infecciosas em todo o mundo após doenças respiratórias, VIH/SIDA, doenças diarreicas e tuberculose, no continente africano, a malária é considerada a segunda causa do aumento da mortalidade, após VIH/SIDA. No caso particular da Guiné-Bissau, esta constitui a principal causa do incremento da morbilidade e da mortalidade naquele país, onde, em 2012 foram notificados 129.684 casos de paludismo, dos quais 370 resultaram em óbitos. Partindo da realidade acima constatada, em particular, da complexidade e o impacto global da doença associada a uma forte mortalidade e morbilidade, concluiu-se ser necessário abordar esta temática, utilizando os SIG e a DR no sentido de determinar as regiões de elevado risco. Entendeu-se serem necessárias novas abordagens e novas ferramentas de análise dos dados epidemiológicos e consequentemente novas metodologias que possibilitem a determinação de áreas de risco por malária. O presente estudo, pretende demonstrar o papel dos SIG e DR na determinação das regiões de risco por malária. A metodologia utilizada centrou-se numa abordagem quantitativa baseada na hierarquização das variáveis. Pretende-se, assim abordar os impactos da malária e simultaneamente demonstrar as potencialidades dos SIG e das ferramentas de Análise Espacial no estudo da disseminação da mesma na Guiné-Bissau.

Da intercepção de comunicações, acções encobertas e serviços de informações

The Portuguese Intelligence Services have their operational skills limited due to the grievances caused by the Dictatorship and, in particular, by its political police. With the help of historical elements, and by analyzing current legislation, we demonstrate that such grievances are today unjustified and misplaced, mainly taking into account the Risk Society’s multifaceted threats. Also part of our analysis is the impugnment of the Constitutional Court’s decision nº 413/2015, which pronounced unconstitutional the norm contained in Decree nº 426/XII, of the Republic’s Assembly, article nº 78, nº2, which intended to allow Intelligence Services access to the so-called “metadata”, as well as to tax and banking information. It is our understanding, and we demonstrate it in our dissertation, that should be allowed the access of, not only the above mentioned information, but also the means known as communications interception and undercover operations to the Intelligence Services, as long as properly supervised and inspected.

Visions on high-speed trains: a methodological analysis

Based on the report for the unit “Foresight Analysis Methods” of the PhD program on Technology Assessment in 2013. This unit was supervised by Prof. António Moniz. The paper had meanwhile contributions from the supervisor and Dr. Douglas Robinson.

Ações encobertas

The global and increasingly technological society requires the States to adopt security measures that can maintain the balance between the freedom, on the one hand, and the security and the respect for fundamental rights of a democratic state, on the other. A State can only achieve this aim if it has an effective judicial system and in particular a criminal procedure adequate to the new criminogenic realities. In this context, the national legislator has adopted, following other international legal systems, special means of obtaining proof more stringent of rights. Within those special means are included the covert actions, that, being a means to use sparingly, is a key element to fight against violent and highly organized crime. Therefore, the undercover agent, voluntary by nature, develops a set of activities that enables the investigation to use other means of taking evidence and/or probationary diligences itself, with the purpose of providing sufficient proof to the case file. In this milieu, given the high risks involved during the investigation, as well as after its completion, the undercover agent can act upon fictitious identity. This measure can be maintained during the evidentiary phase of the trial. Similarly, given the latent threat that the undercover agent suffers by its inclusion in criminal organizations, as well as the need for his inclusion in future covert actions it is crucial that his participation as a witness in the trial is properly shielded. Thus, when the undercover agent provides, exceptionally, statements in the trial, he shall do so always through videoconference with voice and image distortion. This measure can guarantee the anonymity of the undercover agent and concomitantly, that the adversarial principle and the right of the accused to a fair trial is not prejudiced since, in those circumstances, the diligence will be supervised in its entirety (in the audience and with the undercover agent) by a judge.

A utilização das Tecnologias de Informação e Comunicação como ferramenta didática no ensino da História e da Geografia

Os desafios que a educação hoje enfrenta, a par do extraordinário desenvolvimento das tecnologias de informação e comunicação exigem uma reflexão sobre as metodologias de ensino que propiciem uma maior motivação e o desenvolvimento de aprendizagens. O presente relatório resulta de um estudo sobre a aplicação de recursos baseados nas tecnologias de educação e comunicação (TIC) ao serviço da educação, realizada no âmbito da Prática de Ensino Supervisionada em Geografia e História. Esta prática decorreu em duas turmas da Escola Básica e Secundária Passos Manuel (Lisboa), uma do 10.º ano do ensino regular e outra do 11.º ano do Curso Profissional Técnico de Turismo, e numa turma do 9.º ano de escolaridade da Escola Secundária Miguel Torga (Sintra). Este trabalho assenta numa análise e reflexão sobre a aplicação das tecnologias digitais como ferramenta didática, e pretende demonstrar as potencialidades que este tipo de recursos representa no processo de ensino-aprendizagem, assim como os seus principais constrangimentos.

A utilidade da aprendizagem criativa na aula de língua estrangeira

Este relatório surge no âmbito da minha Prática do Ensino Supervisionada e representa uma reflexão sobre a minha iniciação como professora de Inglês e de Francês no 3º ciclo do Ensino Básico e no Ensino Secundário. A reflexão teve como objeto o conceito de ‘aprendizagem criativa’ na teoria do ensino da língua estrangeira e a sua aplicação na prática letiva, nas duas escolas onde desenvolvi o meu estágio, a Escola Secundária de Sebastião da Gama e a Escola Básica do 2º e 3º Ciclos de Aranguez, ambas em Setúbal. Para além de uma tentativa de sistematização das abordagens teóricos, de modo a tornar a noção de ‘criatividade’ mais aplicável na prática da docência da língua estrangeira, a nossa reflexão procura evidenciar como e em que situações a aprendizagem se revela criativa e demonstra a sua utilidade para a aula de língua estrangeira.

A música no ensino da História

Como produto das experiências tidas no âmbito da prática de ensino supervisionada no Mestrado em Ensino de História e Geografia, que decorreu no ano letivo de 2014/2015, na Escola Secundária Quinta do Marquês, em Oeiras, surge o presente relatório que teve como principal objetivo refletir sobre o papel da música enquanto estratégia/recurso no processo de ensino e aprendizagem na disciplina de História. Considerando o que a música representa para os jovens na atualidade, procuramos através da elaboração e aplicação de inquéritos perceber a eficácia desta estratégia no ensino da História. Os resultados obtidos apontam para o facto de a música surgir como um recurso capaz de captar a atenção, permitir a contextualização histórica e motivar para o estudo.

Impacto do espaço da música nas interações infantis no jardim-de-infância e na creche

Relatório de estágio de mestrado em Educação Pré-Escolar

Que música ouvimos? Estudo exploratório com crianças em contexto de creche, pré-escolar e familiar

Relatório de estágio de mestrado em Educação Pré-Escolar