9 resultados para Classical methods

em Universidad Politécnica de Madrid


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The need for the simulation of spectrum compatible earthquake time histories has existed since earthquake engineering for complicated structures began. More than the safety of the main structure, the analysis of the equipment (piping, racks, etc.) can only be assessed on the basis of the time history of the floor in which they are contained. This paper presents several methods for calculating simulated spectrum compatible earthquakes as well as a comparison between them. As a result of this comparison, the use of the phase content in real earthquakes as proposed by Ohsaki appears as an effective alternative to the classical methods. With this method, it is possible to establish an approach without the arbitrary modulation commonly used in other methods. Different procedures are described as is the influence of the different parameters which appear in the analysis. Several numerical examples are also presented, and the effectiveness of Ohsaki's method is confirmed.

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The application of thematic maps obtained through the classification of remote images needs the obtained products with an optimal accuracy. The registered images from the airplanes display a very satisfactory spatial resolution, but the classical methods of thematic classification not always give better results than when the registered data from satellite are used. In order to improve these results of classification, in this work, the LIDAR sensor data from first return (Light Detection And Ranging) registered simultaneously with the spectral sensor data from airborne are jointly used. The final results of the thematic classification of the scene object of study have been obtained, quantified and discussed with and without LIDAR data, after applying different methods: Maximum Likehood Classification, Support Vector Machine with four different functions kernel and Isodata clustering algorithm (ML, SVM-L, SVM-P, SVM-RBF, SVM-S, Isodata). The best results are obtained for SVM with Sigmoide kernel. These allow the correlation with others different physical parameters with great interest like Manning hydraulic coefficient, for their incorporation in a GIS and their application in hydraulic modeling.

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El objeto del presente artículo es el estudio de singularidades en problemas de Potencial mediante el uso del Método de las Ecuaciones Integrales sobre el contorno del dominio en estudio. Frente a soluciones basadas en la mejora de la discretización, análisis asintótico o introducción de funciones de forma que representen mejor la evolución de la función, una nueva hipótesis es presentada: el término responsable de la singularidad es incluido en la integral sobre el contorno de la función auxiliar. Los resultados obtenidos mejoran los de soluciones anteriores simplificando también el tiempo de cálculo = The subject of this paper is the modelling of singularities in potential problems, using the Boundary Integral Equation Method. As a logical alternative to classical methods (discretization refinement, asymptotic analysis, high order interpolatory functions) a new hypothesis is presented: the singularity responsible term is included in the interpolatory shape function. As shown by several exemples results are splendid and computer time radically shortened.

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Las normativas que regulan la seguridad de las presas en España han recogido la necesidad de conocer los desplazamientos y deformaciones de sus estructuras y cimientos. A día de hoy, son muchas las presas en explotación que no cuentan con un sistema de auscultación adecuado para controlar este tipo de variables, ya que la instalación de métodos clásicos de precisión en las mismas podría no ser viable técnicamente y, de serlo, supondría un coste económico importante y una dudosa garantía del proceso de ejecución de la obra civil correspondiente. Con el desarrollo de las nuevas tecnologías, la informática y las telecomunicaciones, han surgido nuevos sistemas de auscultación de desplazamientos. Los sistemas GPS actuales, diseñados para el control de estructuras, guiado de maquinaria, navegación y topografía, estabilidad de taludes, subsidencias, etc. permiten alcanzar precisiones centimétricas. El sistema de control de movimientos basado en la tecnología DGPS (GPS diferencial) combinada con un filtro estadístico con el que se alcanzan sensibilidades de hasta ±1 mm en el sistema, suficientes para una auscultación normal de presas según los requerimientos de la normativa actual. Esta exactitud se adapta a los desplazamientos radiales de las presas, donde son muy comunes valores de amplitudes en coronación de hasta 15 mm en las de gravedad y de hasta 45 mm en el caso de las presas bóveda o arco. La presente investigación tiene por objetivo analizar la viabilidad del sistema DGPS en el control de movimientos de presas de hormigón comparando los diferentes sistemas de auscultación y su correlación con las variables físicas y las vinculadas al propio sistema GPS diferencial. Ante la necesidad de dar respuesta a estas preguntas y de validar e incorporar a la mencionada tecnología en la ingeniería civil en España, se ha llevado a cabo un estudio de caso en La Aceña (Ávila). Esta es una de las pocas presas españolas que se está controlando con dicha tecnología y de forma simultánea con los sistemas clásicos de auscultación y algunos otros de reciente aplicación La presente investigación se ha organizado con idea de dar respuesta a varias preguntas que el explotador de presas se plantea y que no se analizan en el estado del arte de la técnica: cómo hacer la configuración espacial del sistema y cuáles son los puntos necesarios que se deben controlar, qué sistemas de comunicaciones son los más fiables, cuáles son los costes asociados, calibración del software, vida útil y mantenimientos requeridos, así como la posibilidad de telecontrolar los datos. Entre las ventajas del sistema DGPS, podemos señalar su bajo coste de implantación y posibilidad de controlarlo de forma remota, así como la exactitud y carácter absoluto de los datos. Además, está especialmente indicado para presas aisladas o mal comunicadas y para aquellas otras en las que el explotador no tiene referencia alguna de la magnitud de los desplazamientos o deformaciones propias de la presa en toda su historia. Entre los inconvenientes de cualquier sistema apoyado en las nuevas tecnologías, destaca la importancia de las telecomunicaciones ya sea en el nivel local en la propia presao desde su ubicación hasta el centro de control de la explotación. Con la experiencia alcanzada en la gestión de la seguridad de presas y sobre la base de la reciente implantación de los nuevos métodos de auscultación descritos, se ha podido analizar cada una de sus ventajas e inconvenientes. En el capítulo 5, se presenta una tabla de decisión para el explotador que servirá como punto de partida para futuras inversiones. El impacto de esta investigación se ha visto reflejado en la publicación de varios artículos en revistas indexadas y en el debate suscitado entre gestores y profesionales del sector en los congresos nacionales e internacionales en los que se han presentado resultados preliminares. All regulations on the safety of dams in Spain have collected the need to know the displacements and deformations of the structure and its foundation. Today there are many dams holding not have an adequate system of auscultation to control variables such as the installation of classical methods of precision in the same might not be technically feasible, and if so, would cost important economic and guarantee the implementation process of the dubious civil works. With the development of new technologies, computing and telecommunications, new displacements auscultation systems have emerged. Current GPS systems designed to control structures, machine guidance, navigation and topography, slope stability, subsidence, etc, allow to reach centimeter-level accuracies. The motion control system based on DGPS technology applies a statistical filter that sensitivities are achieved in the system to ± 1 mm, sufficient for normal auscultation of dams as required by current regulations. This accuracy is adapted to the radial displacement of dams, which are common values in coronation amplitudes up to 15 mm in gravity dams and up to 45 mm in arch or arc dams. This research aims to analyze the feasibility of DGPS system in controlling movements of concrete dams, comparing the different systems auscultation and its correlation with physical variables and linked to differential GPS system itself. Given the need to answer this question and to validate and incorporate this technology to civil engineering in Spain, has conducted a case study in real time at the dam La Aceña (Ávila). This dam is one of the few Spanish companies, which are controlling with this technology and simultaneously with the classic auscultation systems and some other recent application. This research has been organized with a view to responding to questions that the dam operator arises and in the state of the art technique not discussed: how to make spatial configuration of the system and what are the necessary control points what communication systems are the most reliable, what are the associated costs, calibration software, service life and maintenance requirements, possibility of monitoring, etc. Among the advantages we can point to its low cost of implementation, the possibility of remote, high accuracy and absolute nature of the data. It could also be suitable for those isolated or poorly communicated dams and those in which the operator has no reference to the magnitude of displacements or deformations own prey in its history. The disadvantages of any system based on the new technologies we highlight the importance of telecommunications, either locally or from this dam control center of the farm. With the experience gained in the management of dam safety and based on the recent introduction of new methods of auscultation described, it has been possible to analyze each of their advantages and disadvantages. A decision table for the operator, which will serve as a starting point for future investments is presented. The impact of research, has been reflected in the publication of several articles in refereed journals and discussion among managers and professionals in national and international conferences in which they participated.

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MP2RAGE has proven to be a bias-free MR acquisition with excellent contrast between grey and white matter. We investigated the ability of three state-of-the-art algorithms to automatically extract white matter (WM), grey matter (GM) and cerebrospinal fluid (CSF) from MPRAGE and MP2RAGE images: unified Segmentation (S) in SPM82 , its extension New Segment (NS), and an in-house Expectation-Maximization Markov Random Field tissue classification3 (EM-MRF) with Graph Cut (GC) optimization4 . Our goal is to quantify the differences between MPRAGE and MP2RAGE-based brain tissue probability maps.

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Stereo video techniques are effective for estimating the space-time wave dynamics over an area of the ocean. Indeed, a stereo camera view allows retrieval of both spatial and temporal data whose statistical content is richer than that of time series data retrieved from point wave probes. Classical epipolar techniques and modern variational methods are reviewed to reconstruct the sea surface from the stereo pairs sequentially in time. Current improvements of the variational methods are presented.

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This paper outlines the problems found in the parallelization of SPH (Smoothed Particle Hydrodynamics) algorithms using Graphics Processing Units. Different results of some parallel GPU implementations in terms of the speed-up and the scalability compared to the CPU sequential codes are shown. The most problematic stage in the GPU-SPH algorithms is the one responsible for locating neighboring particles and building the vectors where this information is stored, since these specific algorithms raise many dificulties for a data-level parallelization. Because of the fact that the neighbor location using linked lists does not show enough data-level parallelism, two new approaches have been pro- posed to minimize bank conflicts in the writing and subsequent reading of the neighbor lists. The first strategy proposes an efficient coordination between CPU-GPU, using GPU algorithms for those stages that allow a straight forward parallelization, and sequential CPU algorithms for those instructions that involve some kind of vector reduction. This coordination provides a relatively orderly reading of the neighbor lists in the interactions stage, achieving a speed-up factor of x47 in this stage. However, since the construction of the neighbor lists is quite expensive, it is achieved an overall speed-up of x41. The second strategy seeks to maximize the use of the GPU in the neighbor's location process by executing a specific vector sorting algorithm that allows some data-level parallelism. Al- though this strategy has succeeded in improving the speed-up on the stage of neighboring location, the global speed-up on the interactions stage falls, due to inefficient reading of the neighbor vectors. Some changes to these strategies are proposed, aimed at maximizing the computational load of the GPU and using the GPU texture-units, in order to reach the maximum speed-up for such codes. Different practical applications have been added to the mentioned GPU codes. First, the classical dam-break problem is studied. Second, the wave impact of the sloshing fluid contained in LNG vessel tanks is also simulated as a practical example of particle methods

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La planificación pre-operatoria se ha convertido en una tarea esencial en cirugías y terapias de marcada complejidad, especialmente aquellas relacionadas con órgano blando. Un ejemplo donde la planificación preoperatoria tiene gran interés es la cirugía hepática. Dicha planificación comprende la detección e identificación precisa de las lesiones individuales y vasos así como la correcta segmentación y estimación volumétrica del hígado funcional. Este proceso es muy importante porque determina tanto si el paciente es un candidato adecuado para terapia quirúrgica como la definición del abordaje a seguir en el procedimiento. La radioterapia de órgano blando es un segundo ejemplo donde la planificación se requiere tanto para la radioterapia externa convencional como para la radioterapia intraoperatoria. La planificación comprende la segmentación de tumor y órganos vulnerables y la estimación de la dosimetría. La segmentación de hígado funcional y la estimación volumétrica para planificación de la cirugía se estiman habitualmente a partir de imágenes de tomografía computarizada (TC). De igual modo, en la planificación de radioterapia, los objetivos de la radiación se delinean normalmente sobre TC. Sin embargo, los avances en las tecnologías de imagen de resonancia magnética (RM) están ofreciendo progresivamente ventajas adicionales. Por ejemplo, se ha visto que el ratio de detección de metástasis hepáticas es significativamente superior en RM con contraste Gd–EOB–DTPA que en TC. Por tanto, recientes estudios han destacado la importancia de combinar la información de TC y RM para conseguir el mayor nivel posible de precisión en radioterapia y para facilitar una descripción precisa de las lesiones del hígado. Con el objetivo de mejorar la planificación preoperatoria en ambos escenarios se precisa claramente de un algoritmo de registro no rígido de imagen. Sin embargo, la gran mayoría de sistemas comerciales solo proporcionan métodos de registro rígido. Las medidas de intensidad de voxel han demostrado ser criterios de similitud de imágenes robustos, y, entre ellas, la Información Mutua (IM) es siempre la primera elegida en registros multimodales. Sin embargo, uno de los principales problemas de la IM es la ausencia de información espacial y la asunción de que las relaciones estadísticas entre las imágenes son homogéneas a lo largo de su domino completo. La hipótesis de esta tesis es que la incorporación de información espacial de órganos al proceso de registro puede mejorar la robustez y calidad del mismo, beneficiándose de la disponibilidad de las segmentaciones clínicas. En este trabajo, se propone y valida un esquema de registro multimodal no rígido 3D usando una nueva métrica llamada Información Mutua Centrada en el Órgano (Organ-Focused Mutual Information metric (OF-MI)) y se compara con la formulación clásica de la Información Mutua. Esto permite mejorar los resultados del registro en áreas problemáticas incorporando información regional al criterio de similitud, beneficiándose de la disponibilidad real de segmentaciones en protocolos estándares clínicos, y permitiendo que la dependencia estadística entre las dos modalidades de imagen difiera entre órganos o regiones. El método propuesto se ha aplicado al registro de TC y RM con contraste Gd–EOB–DTPA así como al registro de imágenes de TC y MR para planificación de radioterapia intraoperatoria rectal. Adicionalmente, se ha desarrollado un algoritmo de apoyo de segmentación 3D basado en Level-Sets para la incorporación de la información de órgano en el registro. El algoritmo de segmentación se ha diseñado específicamente para la estimación volumétrica de hígado sano funcional y ha demostrado un buen funcionamiento en un conjunto de imágenes de TC abdominales. Los resultados muestran una mejora estadísticamente significativa de OF-MI comparada con la Información Mutua clásica en las medidas de calidad de los registros; tanto con datos simulados (p<0.001) como con datos reales en registro hepático de TC y RM con contraste Gd– EOB–DTPA y en registro para planificación de radioterapia rectal usando OF-MI multi-órgano (p<0.05). Adicionalmente, OF-MI presenta resultados más estables con menor dispersión que la Información Mutua y un comportamiento más robusto con respecto a cambios en la relación señal-ruido y a la variación de parámetros. La métrica OF-MI propuesta en esta tesis presenta siempre igual o mayor precisión que la clásica Información Mutua y consecuentemente puede ser una muy buena alternativa en aplicaciones donde la robustez del método y la facilidad en la elección de parámetros sean particularmente importantes. Abstract Pre-operative planning has become an essential task in complex surgeries and therapies, especially for those affecting soft tissue. One example where soft tissue preoperative planning is of high interest is liver surgery. It involves the accurate detection and identification of individual liver lesions and vessels as well as the proper functional liver segmentation and volume estimation. This process is very important because it determines whether the patient is a suitable candidate for surgical therapy and the type of procedure. Soft tissue radiation therapy is a second example where planning is required for both conventional external and intraoperative radiotherapy. It involves the segmentation of the tumor target and vulnerable organs and the estimation of the planned dose. Functional liver segmentations and volume estimations for surgery planning are commonly estimated from computed tomography (CT) images. Similarly, in radiation therapy planning, targets to be irradiated and healthy and vulnerable tissues to be protected from irradiation are commonly delineated on CT scans. However, developments in magnetic resonance imaging (MRI) technology are progressively offering advantages. For instance, the hepatic metastasis detection rate has been found to be significantly higher in Gd–EOB–DTPAenhanced MRI than in CT. Therefore, recent studies highlight the importance of combining the information from CT and MRI to achieve the highest level of accuracy in radiotherapy and to facilitate accurate liver lesion description. In order to improve those two soft tissue pre operative planning scenarios, an accurate nonrigid image registration algorithm is clearly required. However, the vast majority of commercial systems only provide rigid registration. Voxel intensity measures have been shown to be robust measures of image similarity, and among them, Mutual Information (MI) is always the first candidate in multimodal registrations. However, one of the main drawbacks of Mutual Information is the absence of spatial information and the assumption that statistical relationships between images are the same over the whole domain of the image. The hypothesis of the present thesis is that incorporating spatial organ information into the registration process may improve the registration robustness and quality, taking advantage of the clinical segmentations availability. In this work, a multimodal nonrigid 3D registration framework using a new Organ- Focused Mutual Information metric (OF-MI) is proposed, validated and compared to the classical formulation of the Mutual Information (MI). It allows improving registration results in problematic areas by adding regional information into the similitude criterion taking advantage of actual segmentations availability in standard clinical protocols and allowing the statistical dependence between the two modalities differ among organs or regions. The proposed method is applied to CT and T1 weighted delayed Gd–EOB–DTPA-enhanced MRI registration as well as to register CT and MRI images in rectal intraoperative radiotherapy planning. Additionally, a 3D support segmentation algorithm based on Level-Sets has been developed for the incorporation of the organ information into the registration. The segmentation algorithm has been specifically designed for the healthy and functional liver volume estimation demonstrating good performance in a set of abdominal CT studies. Results show a statistical significant improvement of registration quality measures with OF-MI compared to MI with both simulated data (p<0.001) and real data in liver applications registering CT and Gd–EOB–DTPA-enhanced MRI and in registration for rectal radiotherapy planning using multi-organ OF-MI (p<0.05). Additionally, OF-MI presents more stable results with smaller dispersion than MI and a more robust behavior with respect to SNR changes and parameters variation. The proposed OF-MI always presents equal or better accuracy than the classical MI and consequently can be a very convenient alternative within applications where the robustness of the method and the facility to choose the parameters are particularly important.

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In this paper we investigate whether conventional text categorization methods may suffice to infer different verbal intelligence levels. This research goal relies on the hypothesis that the vocabulary that speakers make use of reflects their verbal intelligence levels. Automatic verbal intelligence estimation of users in a spoken language dialog system may be useful when defining an optimal dialog strategy by improving its adaptation capabilities. The work is based on a corpus containing descriptions (i.e. monologs) of a short film by test persons yielding different educational backgrounds and the verbal intelligence scores of the speakers. First, a one-way analysis of variance was performed to compare the monologs with the film transcription and to demonstrate that there are differences in the vocabulary used by the test persons yielding different verbal intelligence levels. Then, for the classification task, the monologs were represented as feature vectors using the classical TF–IDF weighting scheme. The Naive Bayes, k-nearest neighbors and Rocchio classifiers were tested. In this paper we describe and compare these classification approaches, define the optimal classification parameters and discuss the classification results obtained.