O uso correto de todo instrumento topográfico e geodésico tem como objetivo principal garantir a qualidade das medições. Para este fim é necessário realizar uma série de procedimentos periódicos de verificação da qualidade denominados de calibração. Diante do exposto, neste trabalho são apresentados os principais conceitos relacionados à qualidade nas medições e ao processo de calibração, tendo como objetivo principal, re alizar uma análise e a descrição do uso do Método Compacto, como uma alternativa para calibração de estações totais em ambiente laboratorial. Durante a pesquisa, foi estabelecido um conjunto de padrões de calibração, aplicáveis a estações totais. Para garantir a aplicabilidade do método foi realizado um trabalho em conjunto com o laboratório de calibração de instrumentos topográficos da empresa Química Suiza, localizado na cidade de Lima, Peru, para relatar as dificuldades da instalação do Método Compacto naquela empresa, os recursos necessários e as vantagens do uso do método. Apresenta-se, também um exemplo prático do uso do Método Compacto, em que foram avaliados os resultados obtidos no laboratório, com os dados mostrados em uma planilha eletrônica desenvolvida com base na norma ISO 17123:2001. Mediante este processo de comparação foi estabelecida a viabilidade da utilização do Método Compacto em um laboratório de calibração de estações totais. / The correct use of all topographic and geodetic instrument aims to ensure the quality of the measurements. For this purpose it is necessary to perform a series of periodic quality checking procedures called procedures of calibration. According to it, this work presents the main concepts related to quality measurements and calibration process, having as main goal, to analyze and make a description of the use of the Compact Method, as an alternative to calibration of total stations in a laboratory environment. During the research, a set of calibration standards, applicable to total stations were established. To ensure the applicability of the method, the work was done among the laboratory of calibration of surveying instruments Química Suiza company, located in Lima, Peru, to report difficulties installing the Compact Method in that company, the res ources needs and advantages of using the method. Also, a practical example of using the Compact Method is being presented, in which the results obtained in the laboratory were evaluated with the data displayed in a spreadsheet developed based on ISO 17123:2001 standard. Through this comparative process, it was established the feasibility of using the Compact Method in a laboratory calibration of total stations.

'The Yangtze is China’s Mother River. It is my Mother River.’ This practice-based PhD research was initially motivated by the researcher’s personal search for The Mother River and a critical question in finding her own vision of the river. As the field experiences contradicted the researcher’s expectation of The Mother River, the research methodology changed and led to a new, critical understanding: The Mother River is mythic. This thesis examines the politics and characters of such a myth. It also asks with what research methods and visual strategy can landscape photography interrogate The Mother River myth’s complexities. Between 2010 and 2014, the author conducted eight field trips to the Yangtze River. Initially working observationally, it soon became apparent that this method alone was insufficient in reaching an original understanding of the physical and cultural Yangtze landscapes. A series of tactile interventions within the landscapes were then performed and critically evaluated prior to the next phase of the research, in which the entire 6,211 km of the Yangtze River was photographed at precise 100 km intervals. A new body of photographic work titled Mother River was produced as a result. To test its effect in challenging the myth, Mother River has been staged in 12 international exhibitions and printed in one complete catalogue. Over 80,000 people visited the shows in China. Deep mapping, which combines experiential and contextual research with multi-sensorial emplacement as a key method, emerged from this research process and is argued as a new contribution to the field of photographic research. Meanwhile, the artistic output of this research, Mother River, is the most systematic documentation of the entire river made by one person since the 1840s. Furthermore, it is argued that using the Y Points System as a physical framework and storytelling a visual strategy, Mother River challenges the mythic Yangtze The Mother River with a scale and complexity rarely employed by other photographers.

Made available in DSpace on 2017-05-12T14:42:35Z (GMT). No. of bitstreams: 1 Lucileia.pdf: 4845527 bytes, checksum: 03df89e1eb72d5a4ebab7665eca47e9a (MD5) Previous issue date: 2010-04-13 / This paper presents characteristics of the surface coverage found in bedside drainage developed on volcanic substrate, in the Upper Rio Sergento Course (Campo Erê - SC). The descriptions of the materials were made by sampling along five transects, and the opening of three trenches. The physical attributes of materials associated with the analysis of particle size and volume compared with the topography point to allow pedogenesis as the main factor in the evolution of bedside drainage, mainly over the nose and side slope. In the hollow were identified two deposits of colluvium. The association of physical and chemical properties of surface coverage to classify the soil at the head of this drainage as oxic soils, from red to dark reddish nose to bruno on side slope. The clay minerals as revealed by X-ray diffraction in surface coverage over the nose and side slope of bedside drainage geochemical study indicate hydrolysis intense situation in the area. The largest number of peaks of kaolinite shows an environmental geochemist with a predominance of monossialitization process. Less intense, the process also occurs alitização, being filed by gibbsite. Considering the role of geochemical processes, as well as the occurrence of kaolinite dominant on clay less frequent as vermiculite and gibbsite, the indices obtained and disclosed by routine chemistry, the surface coverage of the nose and side slope, at the bedsiders of drainage studied fits as ferruginous desaturated. / Este trabalho apresenta características da cobertura superficial encontrada em cabeceira de drenagem desenvolvida sobre substrato vulcânico, no Alto Curso do Rio Sargento (Campo Erê - SC). As descrições dos materiais foram efetuadas por meio de sondagens ao longo de cinco transectos, bem como da abertura de três trincheiras. Os atributos físicos dos materiais, associados à análises da granulometria e relação dos volumes com a topografia permitem apontar a pedogênese como principal fator na evolução da cabeceira de drenagem, principalmente ao longo do nose e side slope. No hollow foram identificados dois depósitos de colúvio. A associação de atributos físicos e químicos da cobertura superficial permitem classificar o solo presente na cabeceira de drenagem como latossólico distrófico, passando de vermelho no nose à bruno avermelhado escuro no side slope. Os argilominerais revelados pelos difratogramas de raio-X na cobertura superficial ao longo do nose e side slope da cabeceira de drenagem estudada indicam situação geoquímica de hidrólise intensa na área. A maior quantidade de picos de caulinita mostra um ambiente geoquímico com predomínio do processo de monossialitização. Menos intenso, o processo de alitização também ocorre, sendo registrado pela gibbsita. Considerando a atuação dos processos geoquímicos, bem como a ocorrência dominante da caolinita sobre argilominerais menos freqüentes como a vermiculita e a gibbsita, e os índices obtidos revelados pela química de rotina, a cobertura superficial do nose e side slope, na cabeceira de drenagem estudada, enquadra-se como ferruginoso dessaturado.

Since the texture of surfaces plays a key role in the shaping of many environmental processes, high resolution measurements are important to study these phenomena. Specifically, 3-D point cloud data is desirable to document river shape and evolution, surface roughness, and erosion-sedimentation processes. The best method of obtaining these measurements is using a terrestrial laser scanner. However, these are too expensive for limited-use experiments. Therefore, I developed a simple, affordable, and robust system used to acquire high resolution data relating to hydraulic and fluvial environments.

Southern Star Valley is a structural and physiographic basin bounded on the east by the southern Star Valley fault, an active normal fault associated with Basin and Range extension. The southern Star Valley fault separates southern Star Valley from the Salt River Range and forms a dramatic north-south trending topographic escarpment. Statistical analysis of relative-age dating (RD) parameters taken from glacial deposits in the Salt River Range defined distinctive age groups for the deposits, and comparison of RD data allowed correlations with late Pleistocene and Holocene glacial deposits elsewhere in the Rocky Mountains. However, the sedimentary lithologies in the glacial deposits in the study area and inherent variability of RD data limited definitive regional correlations. The southern Star Valley fault (SSVF) lies in a parabola-shaped zone of large, seismogenic normal faults. The zone trails to the west of the eastward-migrating Yellowstone hot spot. Basin-facing fault scarps up to 11 meters high created by recurrent late Quaternary faulting along the southern Star Valley fault are preserved in late-Pleistocene and Holocene alluvial fans along the Salt River Range front. Radiocarbon ages from faulted deposits exposed in a trench provide age estimates of ca. 8,090 ± 80 and 5,540 ± 70 yrs. B. P. for the two most recent paleoearthquakes. The magnitudes of the paleoearthquakes, based on surface rupture height and length and estimates, were between Ms6.9 and Ms7.1. The tectonic geomorphology of river alluvium and alluvial fans near the SSVF suggests that recurrent faulting has downdropped the northern end of southern Star Valley more in relationship to the southern part of the valley and created a deep depocenter in the northern part.

The field study examines the effect of the simulation game Battle Squares on the learning of the map reading skill of grid-reference determination by year 7 students. The effect of ability level and sex differences on the acquisition of gridreferencing skills were also examined. The simulation game developed is a modification of the traditional children's game Battleships. The modifications produced the major features of the grid system used on Australian Survey Map sheets without substantially altering the characteristics of the game Battleships. Two treatment groups played the simulation game, one group having experienced both a pre test and a post test and the other group only the post test. A third treatment did the pre test and post test without experiencing the simulation game. Students in both treatment groups which experienced the simulation game showed significant gains in the learning of grid-referencing skills. Students in upper ability level groups gained significantly better scores on the post test than students in lower ability level groups. Both upper and lower ability level groups showed significant gains. Girls performed significantly better than boys on the post test. Both boys and girls showed significant gains as a result of the simulation game experience. Ability level was a more important moderating variable than sex difference in producing variations in performance on the post test of grid-referencing skills. The explicit educational aims of the simulation game were effectively achieved in a short period of time, while maintaining student motivation and interest. The success of the simulation game in producing significant changes in grid referencing skills would appear to have resulted from the frequent practise of these skills the simulation game playing experience offers.

<p>A big responsibility lies in the hand of local authorities to exercise measures in preventing fatalities and damages during flood occurrences. However, the problem is how flooding can be prevented if nobody knows when and where it will be occurring, and how much water is expected. Therefore, the utilisation of flood models in such studies can be helpful in simulating what is anticipated to occur.</p><p> </p><p>In this study, the HEC-RAS steady flow model was used in calibrating different flood events in Testeboån river, which is situated in the municipality of Gävle in Sweden. The purpose is to provide inundation maps that show the water surface profiles for the various flood events that can help authorities in planning within the area. Moreover, the study would try to address certain issues, which concern one-dimensional models like HEC-RAS in terms of the effects of topographic data and the parameters used for friction coefficient.</p><p> </p><p>Various flood maps were produced to visualise the extents of the floods. In Oppala and Norra Åbyggeby, the big water extents for both the 100-year and the highest probable floods were visible in the forested areas and grasslands, although a few houses were within the predicted flooded areas. In Södra Åbyggeby, Varva, Forsby, and in the northern parts of Strömsbro and Stigslund, the majority of the residential places were not inundated during the 100-year flood calibration, but became flooded during the maximum probable flood. The southern portions of Strömsbro and Stigslund had lesser flood extents and houses were situated within the boundaries of the highest flood. In Näringen, there were also some areas close to the estuary that were flooded for both events.</p><p> </p><p>With the other calibrations performed, two factors that greatly affect the flood extents in the floodplain, particularly in flatter areas were topographic data and the parameters used as friction coefficient.  The use of high resolution topographic data was important in improving the performance of the software. Nevertheless, it must be emphasised that in areas characterised by gentler slopes that bounded the channel and the floodplain, data completeness became significant whereby both ground data and bathymetric points must be present to avoid overestimation of the inundation extent. The water extents also varied with the use of the various Manning’s <em>n</em> for the overbanks, with the bigger value showing greater water extents. Else, in areas with steeper slopes and where the water was confined to the banks, the effect was minimal.</p><p> </p><p>Despite these shortcomings of one-dimensional models, HEC-RAS provided good inundation extents that were comparable to the actual extent of the 1977 flooding.</p><p> </p><p>Modelling real floods has its own difficulties due to the unpredictability of real-life flood behaviours, and more especially, there are time dependent factors that are involved.  Although calibrating a flood event will not exactly determine what is to arise as they might either under- or overestimate such flooding occurrences, still, they give a standpoint of what is more or less to anticipate, and from this,  planning measures can be undertaken.</p>

A high percentage of unrecognized myocardial infarctions (UMIs) seen at delayed-enhanced magnetic resonance imaging (DE-MRI) are not detected by ECG. DE-MRI-detected UMIs are independent predictors of cardiovascular events in patients with coronary artery disease. In an elderly population, subjects with DE-MRI-detected UMIs do not have increased Framingham risk score or increased prevalence of artery stenosis in whole-body MR angiography as patients with recognized myocardial infarctions (RMI). Further investigation on the pathogenesis of DE-MRI-detected UMIs focus on the need to decide the management of these subjects. From the Prospective Investigation of the Vasculature in Uppsala Seniors, 248 subjects underwent cardiac MRI at age 70 and from these, 185 underwent a 5-year follow-up MR. DE-MRI-detected UMIs had lower signal intensity than RMIs probably reflecting different composition of their tissues. Subjects with UMI scar had increased levels of NT-proBNP, a predictor of increased risk of cardiovascular events. After 5 years, UMI scars were in their majority seen on the same location and with the same size, and their prevalence increased. Subjects with an UMI did not differ from subjects without a scar in terms of coronary stenosis assessed by computed tomography angiography or signs of ischemia on exercise test. In conclusion, DE-MRI-detected UMI scars are a frequent finding in an elderly population and its prevalence increases with age. The increased levels of NT-proBNP indicate that subjects with an UMI might have an increased rate of future cardiovascular events but the findings that these scars might have a different contrast distribution volume on MRI and that they are not related to CAD are indicators that they probably have a different etiology from RMIs. The prognosis of DE-MRI detected UMI scars in the general population is still unknown and therefore the clinical management of these individuals is yet to be defined.

In many real-world application problems, the availability of data labels for supervised learning is rather limited. Incompletely labeled datasets are common in many of the databases generated in some of the currently most active areas of research. It is often the case that a limited number of labeled cases is accompanied by a larger number of unlabeled ones. This is the setting for semi-supervised learning, in which unsupervised approaches assist the supervised problem and vice versa. A manifold learning model, namely Generative Topographic Mapping (GTM), is the basis of the methods developed in this thesis. The non-linearity of the mapping that GTM generates makes it prone to trustworthiness and continuity errors that would reduce the faithfulness of the data representation, especially for datasets of convoluted geometry. In this thesis, a variant of GTM that uses a graph approximation to the geodesic metric is first defined. This model is capable of representing data of convoluted geometries. The standard GTM is here modified to prioritize neighbourhood relationships along the generated manifold. This is accomplished by penalizing the possible divergences between the Euclidean distances from the data points to the model prototypes and the corresponding geodesic distances along the manifold. The resulting Geodesic GTM (Geo-GTM) model is shown to improve the continuity and trustworthiness of the representation generated by the model, as well as to behave robustly in the presence of noise. The thesis then leads towards the definition and development of semi-supervised versions of GTM for partially-labeled data exploration. As a first step in this direction, a two-stage clustering procedure that uses class information is presented. A class information-enriched variant of GTM, namely class-GTM, yields a first cluster description of the data. The number of clusters defined by GTM is usually large for visualization purposes and does not necessarily correspond to the overall class structure. Consequently, in a second stage, clusters are agglomerated using the K-means algorithm with different novel initialization strategies that benefit from the probabilistic definition of GTM. We evaluate if the use of class information influences cluster-wise class separability. A robust variant of GTM that detects outliers while effectively minimizing their negative impact in the clustering process is also assessed in this context. We then proceed to the definition of a novel semi-supervised model, SS-Geo-GTM, that extends Geo-GTM to deal with semi-supervised problems. In SS-Geo-GTM, the model prototypes are linked by the nearest neighbour to the data manifold constructed by Geo-GTM. The resulting proximity graph is used as the basis for a class label propagation algorithm. The performance of SS-Geo-GTM is experimentally assessed, comparing positively with that of an Euclidean distance-based counterpart and that of the alternative Laplacian Eigenmaps method. Finally, the developed models (the two-stage clustering procedure and the semi-supervised models) are applied to the analysis of a human brain tumour dataset (obtained by Nuclear Magnetic Resonance Spectroscopy), where the tasks are, in turn, data clustering and survival prognostic modeling. / Resum de la tesi (màxim 4000 caràcters. Si se supera aquest límit, el resum es tallarà automàticament al caràcter 4000) En muchos problemas de aplicación del mundo real, la disponibilidad de etiquetas de datos para aprendizaje supervisado es bastante limitada. La existencia de conjuntos de datos etiquetados de manera incompleta es común en muchas de las bases de datos generadas en algunas de las áreas de investigación actualmente más activas. Es frecuente que un número limitado de casos etiquetados venga acompañado de un número mucho mayor de datos no etiquetados. Éste es el contexto en el que opera el aprendizaje semi-supervisado, en el cual enfoques no-supervisados prestan ayuda a problemas supervisados y vice versa. Un modelo de aprendizaje de variaciones (manifold learning, en inglés), llamado Mapeo Topográfico Generativo (GTM, en acrónimo de su nombre en inglés), es la base de los métodos desarrollados en esta tesis. La no-linealidad del mapeo que GTM genera hace que éste sea propenso a errores de fiabilidad y continuidad, los cuales pueden reducir la fidelidad de la representación de los datos, especialmente para conjuntos de datos de geometría intrincada. En esta tesis, una extensión de GTM que utiliza una aproximación vía grafos a la métrica geodésica es definida en primer lugar. Este modelo es capaz de representar datos con geometrías intrincadas. En él, el GTM estándar es modificado para priorizar relaciones de vecindad a lo largo de la variación generada. Esto se logra penalizando las divergencias existentes entre las distancias Euclideanas de los datos a los prototipos del modelo y las correspondientes distancias geodésicas a lo largo de la variación. Se muestra que el modelo Geo-GTM resultante mejora la continuidad y fiabilidad de la representación generada y que se comporta de manera robusta en presencia de ruido. Más adelante, la tesis nos lleva a la definición y desarrollo de versiones semi-supervisadas de GTM para la exploración de conjuntos de datos parcialmente etiquetados. Como un primer paso en esta dirección, se presenta un procedimiento de agrupamiento en dos etapas que utiliza información de pertenencia a clase. Una extensión de GTM enriquecida con información de pertenencia a clase, llamada class-GTM, produce una primera descripción de grupos de los datos. El número de grupos definidos por GTM es normalmente grande para propósitos de visualización y no corresponde necesariamente con la estructura de clases global. Por ello, en una segunda etapa, los grupos son aglomerados usando el algoritmo K-means con diferentes estrategias de inicialización novedosas las cuales se benefician de la definición probabilística de GTM. Evaluamos si el uso de información de clase influye en la separabilidad de clase por grupos. Una extensión robusta de GTM que detecta datos atípicos a un tiempo que minimiza de forma efectiva su impacto negativo en el proceso de agrupamiento es evaluada también en este contexto. Se procede después a la definición de un nuevo modelo semi-supervisado, SS-Geo-GTM, que extiende Geo-GTM para ocuparse de problemas semi-supervisados. En SS-Geo-GTM, los prototipos del modelo son vinculados al vecino más cercano a la variación construída por Geo-GTM. El grafo de proximidad resultante es utilizado como base para un algoritmo de propagación de etiquetas de clase. El rendimiento de SS-Geo-GTM es valorado experimentalmente, comparando positivamente tanto con la contraparte de este modelo basada en la distancia Euclideana como con el método alternativo Laplacian Eigenmaps. Finalmente, los modelos desarrollados (el procedimiento de agrupamiento en dos etapas y los modelos semi-supervisados) son aplicados al análisis de un conjunto de datos de tumores cerebrales humanos (obtenidos mediante Espectroscopia de Resonancia Magnética Nuclear), donde las tareas a realizar son el agrupamiento de datos y el modelado de pronóstico de supervivencia.

At present, one of the big challenges is to develop a precise surface measurement method for mechanical parts. Especially, to study cylindrical surface, the cause of many difficulties because of its geometry shape. This thesis presents a quite good solution for analyzing topography of cylindrical surface with White Light Interferometry optical system which is one of the important and suitable tools in optics. In the construction period, the aim was to build a system which can be easily mounted on the sample. This is done by a very simple and compact design that also enables us to use it in research laboratories. In the project, a cylindrical surface analysis is achieved by taking subsequent images with different nano-scale distance from the sample and stitched the acquired images. To achieve this implementation, subsequent images with the highest intensity are first determined and then located in a single image. In the stitching process, cross correlation method that is extremely useful to find out relative point of the images is used to merge the acquired images. Additionally, stitching process is helped us to extend the area where research can be done. In the project, MATLAB &amp; LABVIEW are used for analyzing the images and controlling the motors, respectively.