Ocean life. 'La vida en el mar'.

Se presenta una secuencia didáctica orientada al aprendizaje de conceptos relacionados con la vida del mar.

Post and Letters. 'Correos y cartas'.

Se presenta un secuencia didáctica en la que a través de una historia sencilla los niños aprenderán lo que pasa con las cartas desde que las echan en el buzón hasta que llegan a su destino.

Toys. 'Juguetes'.

Se presenta una secuencia didáctica con la que se pretende que el niño aprenda el vocabulario relacionado con los juegos y juguetes y se favorezcan hábitos y rutinas para la etapa infantil.

Musical instruments. 'Instrumentos musicales'.

Se presenta una secuencia didáctica con la que se pretende dar a conocer algunos instrumentos musicales, sus sonidos y el vocabulario básico asociado a ellos, a través de una canción alegre y diferentes juegos interactivos.

Lenguaje y Teoría de la mente: una aproximación multidimensional

El propósito de este trabajo es realizar una puesta al día sobre las relaciones entre el desarrollo del lenguaje y el desarrollo de la Teoría de la Mente. Entre las hipótesis propuestas para conceptualizar dichas relaciones, realizamos un examen más exhaustivo de aquellos modelos que apoyan una implicación directa entre lenguaje y Teoría de la Mente. En este contexto, en primer lugar subrayamos la necesidad de ampliar dicha noción para incluir habilidades anteriores y posteriores a la comprensión de la falsa creencia. En segundo lugar, examinamos las diferentes hipótesis acerca de los aspectos del lenguaje más vinculados al desarrollo sociocognitivo, y las principales evidencias empíricas que las sustentan. Finalmente, discutimos un modelo de causalidad recíproca donde los vínculos entre lenguaje y Teoría de la Mente variarán según el momento del desarrollo considerado

A proposal to estimate the motion of an underwater vehicle through visual mosaicking

This thesis proposes a solution to the problem of estimating the motion of an Unmanned Underwater Vehicle (UUV). Our approach is based on the integration of the incremental measurements which are provided by a vision system. When the vehicle is close to the underwater terrain, it constructs a visual map (so called "mosaic") of the area where the mission takes place while, at the same time, it localizes itself on this map, following the Concurrent Mapping and Localization strategy. The proposed methodology to achieve this goal is based on a feature-based mosaicking algorithm. A down-looking camera is attached to the underwater vehicle. As the vehicle moves, a sequence of images of the sea-floor is acquired by the camera. For every image of the sequence, a set of characteristic features is detected by means of a corner detector. Then, their correspondences are found in the next image of the sequence. Solving the correspondence problem in an accurate and reliable way is a difficult task in computer vision. We consider different alternatives to solve this problem by introducing a detailed analysis of the textural characteristics of the image. This is done in two phases: first comparing different texture operators individually, and next selecting those that best characterize the point/matching pair and using them together to obtain a more robust characterization. Various alternatives are also studied to merge the information provided by the individual texture operators. Finally, the best approach in terms of robustness and efficiency is proposed. After the correspondences have been solved, for every pair of consecutive images we obtain a list of image features in the first image and their matchings in the next frame. Our aim is now to recover the apparent motion of the camera from these features. Although an accurate texture analysis is devoted to the matching pro-cedure, some false matches (known as outliers) could still appear among the right correspon-dences. For this reason, a robust estimation technique is used to estimate the planar transformation (homography) which explains the dominant motion of the image. Next, this homography is used to warp the processed image to the common mosaic frame, constructing a composite image formed by every frame of the sequence. With the aim of estimating the position of the vehicle as the mosaic is being constructed, the 3D motion of the vehicle can be computed from the measurements obtained by a sonar altimeter and the incremental motion computed from the homography. Unfortunately, as the mosaic increases in size, image local alignment errors increase the inaccuracies associated to the position of the vehicle. Occasionally, the trajectory described by the vehicle may cross over itself. In this situation new information is available, and the system can readjust the position estimates. Our proposal consists not only in localizing the vehicle, but also in readjusting the trajectory described by the vehicle when crossover information is obtained. This is achieved by implementing an Augmented State Kalman Filter (ASKF). Kalman filtering appears as an adequate framework to deal with position estimates and their associated covariances. Finally, some experimental results are shown. A laboratory setup has been used to analyze and evaluate the accuracy of the mosaicking system. This setup enables a quantitative measurement of the accumulated errors of the mosaics created in the lab. Then, the results obtained from real sea trials using the URIS underwater vehicle are shown.

Automatic mass segmentation in mammographic images

Aquesta tesi està emmarcada dins la detecció precoç de masses, un dels símptomes més clars del càncer de mama, en imatges mamogràfiques. Primerament, s'ha fet un anàlisi extensiu dels diferents mètodes de la literatura, concloent que aquests mètodes són dependents de diferent paràmetres: el tamany i la forma de la massa i la densitat de la mama. Així, l'objectiu de la tesi és analitzar, dissenyar i implementar un mètode de detecció robust i independent d'aquests tres paràmetres. Per a tal fi, s'ha construït un patró deformable de la massa a partir de l'anàlisi de masses reals i, a continuació, aquest model és buscat en les imatges seguint un esquema probabilístic, obtenint una sèrie de regions sospitoses. Fent servir l'anàlisi 2DPCA, s'ha construït un algorisme capaç de discernir aquestes regions són realment una massa o no. La densitat de la mama és un paràmetre que s'introdueix de forma natural dins l'algorisme.

Criação de uma Lista de Cabeçalhos de Assunto para a Documentação da Biblioteca Universitária João Paulo II

O aspecto fulcral desta dissertação centra-se-à volta do desafio de procurar facilitar o acesso à informação contida na base de dados bibliográfica da Biblioteca Universitária João Paulo II (BUJPII) da Universidade Católica Portuguesa (UCP) cujo conteúdo temático tem sido até agora representado pela Classificação Decimal Universal (CDU), linguagem documental pouco acessível a grande parte dos nossos utilizadores, na sua maioria estudantes universitários que a consideram um instrumento de pesquisa pouco amigável porque estão muito pouco ou nada familiarizados com este tipo de classificação numérica preferindo o uso de palavras-chave no acesso ao conteúdo temático das obras. Com este objectivo em vista, propusemo-nos levar a cabo este trabalho de investigação fazendo a harmonização (correspondência) entre as notações da CDU, usada na classificação da colecção de fundos da BUJPII e uma lista simplificada de Cabeçalhos de Assunto da Biblioteca do Congresso, com o propósito de iniciar um processo de atribuição de cabeçalhos de assunto, mapeados a partir das notações da CDU, a parte dos referidos fundos, cuja recuperação de conteúdo tem sido feita até agora através da Classificação Decimal Universal. O estudo incidiu experimentalmente numa amostragem de monografias de áreas não indexadas mas já classificadas, cujos registos bibliográficos se encontram na base de dados da Biblioteca Universitária João Paulo II. O projecto consistiu na atribuição de cabeçalhos de assunto, traduzidos manualmente para português a partir da lista em inglês dos Cabeçalhos de Assunto da Biblioteca do Congresso (LCSH). Procurou-se que estivessem semanticamente tão próximos quanto possível dos assuntos que correspondiam às notações da Classificação Decimal Universal (CDU) com as quais as monografias tinham sido anteriormente classificadas. O trabalho foi primeiro elaborado de forma manual e depois “carregado” no software Horizon, dado ser este o sistema informático de gestão integrada em uso na Biblioteca Universitária João Paulo II, sendo o objectivo futuro a indexação de todas as áreas do seu acervo bibliográfico, como forma complementar privilegiada no acesso à informação.

Estudo da presença de Mycobacterium avium subespécie paratuberculosis numa exploração leiteira no Litoral Centro de Portugal Continental

A Paratuberculose, conhecida também como Doença de Johne, é uma afeção infecciosa que provoca uma enterite granulomatosa crónica causada pelo agente Mycobacterium avium subespécie paratuberculosis (Map). É uma doença de carácter contagioso, de distribuição mundial, atingindo os mamíferos, particularmente os pequenos e grandes ruminantes, equinos, suínos, búfalos, coelhos, etc. Tem um grande impacto económico, nomeadamente na redução da produção leiteira, na redução dos teores de proteína no leite, na susceptibilidade a outras doenças, no refugo de animais e no aumento dos custos na sanidade. Pensa-se que também terá impacto a nível de Saúde Pública uma vez que o Map pode estar associado á doença de Crohn em humanos em que o leite cru, leite em pó ou leite pasteurizado podem ser os veículos de transmissão, porém não existem estudos suficientes para sustentar este acontecimento. A técnica de diagnóstico “Gold Standard” é a cultura microbiológica de fezes, no entanto é um procedimento muito demorado podendo levar até 4 meses para se observarem as colónias bacterianas, uma vez que o seu crescimento é muito lento. Deste modo, existem outros testes, tais como o PCR e ELISA, com elevada especificidade para o agente que fornecem resultados mais rápidos e que permitem minimizar os falsos-positivos, apesar da sua reduzida sensibilidade (por volta dos 50%). Este estudo é baseado na observação das instalações da exploração e consequente comparação com parâmetros analisados e documentados em literatura. Para além disso, são utilizadas informações fornecidas pelo Software da exploração com o intuito de estudar a incidência da Paratuberculose, ao longo dos anos, de modo a comprovar se as medidas de maneio e de higiene adotadas pela exploração afetada contribuem ou não de alguma maneira para o controlo/erradicaçãoda doença de Johne.

On the sensitivity of annular mode dynamics to stratospheric radiative timescales

Long decorrelation timescales of the annular mode are observed in the lower stratosphere. This study uses a simple dynamical model, which has been used extensively to study stratosphere-troposphere coupling, to investigate the origin of the long dynamical timescales. Several long runs of the model are completed, with different imposed thermal damping timescales in the stratosphere. The dynamical timescales of the annular mode are found to be largely insensitive to the input thermal damping timescales, producing similar dynamical timescales in all cases below 50hPa. This result suggests that the hypothesis that long timescales in the lower stratosphere are due to long radiative timescales in this region is false.

Use of airborne remote sensing to detect riverside Brassica rapa to aid in risk assessment of transgenic crops

High resolution descriptions of plant distribution have utility for many ecological applications but are especially useful for predictive modelling of gene flow from transgenic crops. Difficulty lies in the extrapolation errors that occur when limited ground survey data are scaled up to the landscape or national level. This problem is epitomized by the wide confidence limits generated in a previous attempt to describe the national abundance of riverside Brassica rapa (a wild relative of cultivated rapeseed) across the United Kingdom. Here, we assess the value of airborne remote sensing to locate B. rapa over large areas and so reduce the need for extrapolation. We describe results from flights over the river Nene in England acquired using Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) imagery, together with ground truth data. It proved possible to detect 97% of flowering B. rapa on the basis of spectral profiles. This included all stands of plants that occupied >2m square (>5 plants), which were detected using single-pixel classification. It also included very small populations (<5 flowering plants, 1-2m square) that generated mixed pixels, which were detected using spectral unmixing. The high detection accuracy for flowering B. rapa was coupled with a rather large false positive rate (43%). The latter could be reduced by using the image detections to target fieldwork to confirm species identity, or by acquiring additional remote sensing data such as laser altimetry or multitemporal imagery.

Flood detection in urban areas using TerraSAR-X

Flooding is a major hazard in both rural and urban areas worldwide, but it is in urban areas that the impacts are most severe. An investigation of the ability of high resolution TerraSAR-X Synthetic Aperture Radar (SAR) data to detect flooded regions in urban areas is described. The study uses a TerraSAR-X image of a 1 in 150 year flood near Tewkesbury, UK, in 2007, for which contemporaneous aerial photography exists for validation. The DLR SAR End-To-End simulator (SETES) was used in conjunction with airborne scanning laser altimetry (LiDAR) data to estimate regions of the image in which water would not be visible due to shadow or layover caused by buildings and taller vegetation. A semi-automatic algorithm for the detection of floodwater in urban areas is described, together with its validation using the aerial photographs. 76% of the urban water pixels visible to TerraSAR-X were correctly detected, with an associated false positive rate of 25%. If all urban water pixels were considered, including those in shadow and layover regions, these figures fell to 58% and 19% respectively. The algorithm is aimed at producing urban flood extents with which to calibrate and validate urban flood inundation models, and these findings indicate that TerraSAR-X is capable of providing useful data for this purpose.

Detection of flood extent in urban areas using high resolution TerraSAR-X data

Flooding is a major hazard in both rural and urban areas worldwide, but it is in urban areas that the impacts are most severe. An investigation of the ability of high resolution TerraSAR-X data to detect flooded regions in urban areas is described. An important application for this would be the calibration and validation of the flood extent predicted by an urban flood inundation model. To date, research on such models has been hampered by lack of suitable distributed validation data. The study uses a 3m resolution TerraSAR-X image of a 1-in-150 year flood near Tewkesbury, UK, in 2007, for which contemporaneous aerial photography exists for validation. The DLR SETES SAR simulator was used in conjunction with airborne LiDAR data to estimate regions of the TerraSAR-X image in which water would not be visible due to radar shadow or layover caused by buildings and taller vegetation, and these regions were masked out in the flood detection process. A semi-automatic algorithm for the detection of floodwater was developed, based on a hybrid approach. Flooding in rural areas adjacent to the urban areas was detected using an active contour model (snake) region-growing algorithm seeded using the un-flooded river channel network, which was applied to the TerraSAR-X image fused with the LiDAR DTM to ensure the smooth variation of heights along the reach. A simpler region-growing approach was used in the urban areas, which was initialized using knowledge of the flood waterline in the rural areas. Seed pixels having low backscatter were identified in the urban areas using supervised classification based on training areas for water taken from the rural flood, and non-water taken from the higher urban areas. Seed pixels were required to have heights less than a spatially-varying height threshold determined from nearby rural waterline heights. Seed pixels were clustered into urban flood regions based on their close proximity, rather than requiring that all pixels in the region should have low backscatter. This approach was taken because it appeared that urban water backscatter values were corrupted in some pixels, perhaps due to contributions from side-lobes of strong reflectors nearby. The TerraSAR-X urban flood extent was validated using the flood extent visible in the aerial photos. It turned out that 76% of the urban water pixels visible to TerraSAR-X were correctly detected, with an associated false positive rate of 25%. If all urban water pixels were considered, including those in shadow and layover regions, these figures fell to 58% and 19% respectively. These findings indicate that TerraSAR-X is capable of providing useful data for the calibration and validation of urban flood inundation models.