Automatic generation of real-time deformable parametric model of the aorta for a VR-based catheterism guidance system

The purpose of this work is twofold: first, to develop a process to automatically create parametric models of the aorta that can adapt to any possible intraoperative deformation of the vessel. Second, it intends to provide the tools needed to perform this deformation in real time, by means of a non-rigid registration method. This dynamically deformable model will later be used in a VR-based surgery guidance system for aortic catheterism procedures, showing the vessel changes in real time.

Definición de un Modelo Edafogeomorfológico para la Identificación de Necesidades de Manejo y Recuperación de Suelos a Nivel Local. Caso Cuenca Cañada La Gorda, Machiques Colón, Estado Zulia, Venezuela.

El objetivo de este trabajo es generar un modelo Edafogeomorfológico útil en la identificación de necesidades de manejo de suelos, se realizó un estudio en el área de la cuenca Cañada La Gorda Machiques-Colón, estado Zulia, Venezuela, caracterizada por un clima tropical de condición subhúmeda, con duración del periodo de crecimiento (DPC) de 230 días, régimen de humedad Ustic y de temperatura Isohipertémico. Se empleó el enfoque de la ecuación factorial de formación de suelos para el análisis y descripción biofísica de los factores a lo largo de una carena. El relieve caracterizado a partir de fotografías aéreas, imágenes de satélites y de chequeos sistemático mediante transectos en el sentido del flujo del escurrimiento; la vegetación a través del uso de la tierra, la cobertura vegetal, la identificación de las especies dominantes a partir de sus nombres vernáculos y la definición de indicadores de vegetales (Iv). Los suelos fueron descritos y clasificados según la Taxonomía de suelos y valorados mediante el modelo paramétricode Riquier et al. (1970) para determinar el índice de productividad (Ip). Se caracterizaron dos paisajes gemorfológicos: Colinar (C) y Valle (V), seis posiciones geomorfológicas entre ambos paisajes definidas por la sucesión de relieves en el sentido de la pendiente: Tope de colina-loma (TC), mesa conservada (MC), vertientes de mesa alta (VA), media (VM), baja (VB) y valle intracolinar (VI); e igual número de perfiles de suelos representativos, los cuales mostraron edafogénesis muy avanzada con Ip inferiores a 8% en todas las posiciones, exceptuando la VB, con una productividad de 13%. El uso de la tierra es a base de pastoreo semi-intensivo de plantas forrajeras introducidas. Las formaciones vegetales predominante fueron los matorrales y arbustales dispersos, acompañados con restos de una selva tropófila fuertemente afectada por la extracción forestal y la conversión en áreas de pastoreo. Se identificaron 8 Iv, asociados fuertemente con condiciones de físicas e hidrológicas del suelo. El alto impacto de las actividades humanas sobre el suelo y vegetación, expresado a través de los procesos de erosión activa, la ausencia de áreas boscosas y la baja productividad de los sistemas de ganadería reportada para la zona, señalan la necesidad de reorientación del uso actual de la tierra, para lo cual se plantean alternativas como la incorporación de bosques protectores y sistemas agrosilvopastoriles In order to generate an Edaphogeomorphological model to be used for the identification of management requirements of soils, a study was carried out in the area of the Cañada La Gorda watershed, Machiques Colon, Zulia State with a tropical climate, subsumid conditions with a growing period of 230 days, an Ustic soil moisture and Isohypertermic regimes. The soils factorial equation approach was used for the analisis and description of the factors of soil formation throughout a soil catena. Relief was characterized through aerial photographs, satellite images and systematic checks of transects drawn in the sense of surface runoff and also taking into account geomorphological features. Vegetation cover and land use were described and vegetation components were indified by its local names to defined vegetations indicators (VI) for the local conditions. Soils were described and classified according to soil taxonomy and valued by means of a parametric model proposed by Riquier et al, (1970) for determining the productivity index (PI). Two geomorphological landscapes were defined: Hilly and Valley with six positions within the landscapes: hilltop (round or elongated), preserved tableland summit, slopes of high, medium and low tableland and valleys between hills. Representative soils of each position were studied showing a highly advanced degree of edaphogenesis with PI values below 8% in all positions except the valleys with a PI of 13%. Land use type is based on semi intensive pasturing of introduced forage species, with a vegetation of brushwood and scattered shrubs, with some trees relicts of woods affected by timber extraction and turn to grassland Eight VI were identified, highly associated to local physical and hidrological soil conditions. The enormous impact of human activity on soils and vegetation as shown by active erosion processes and absence of wooded areas and the low productivity of livestock systems reported for the area, indicates the necessity of a reorientation of the present land use introducing alternatives like the incorporation of protective woods and agrosilvopastoral management systems.

Modelos de elementos finitos con aplicación tridimensional de la analogía fluido-fibra, para predecir el comportamiento mecánico de piezas estructurales de madera bajo la presencia de los principales tipos de nudos

Los nudos son los defectos que más disminuyen la resistencia de piezas de madera en la escala estructural, al ocasionar no solo una discontinuidad material, sino también la desviación de las fibras que se encuentran a su alrededor. En la década de los 80 se introdujo la teoría de la analogía fluido-fibra, como un método que aproximaba adecuadamente todas estas desviaciones. Sin embargo en su aplicación tridimensional, nunca se consideraron las diferencias geométricas en el sentido perpendicular al eje longitudinal de las piezas estructurales, lo cual imposibilitaba la simulación numérica de algunos de los principales tipos de nudos, y disminuía la precisión obtenida en aquellos nudos en los que la modelización sí era viable. En este trabajo se propone un modelo programado en lenguaje paramétrico de un software de elementos finitos que, bajo una formulación en tres dimensiones más general, permitirá estudiar de forma automatizada el comportamiento estructural de la madera bajo la influencia de los principales tipos de nudos, a partir de la geometría visible de los mismos y la posición de la médula en la pieza, y el cual ha sido contrastado experimentalmente, simulando de forma muy precisa el comportamiento mecánico de vigas sometidas a ensayos de flexión a cuatro puntos. Knots are the defects that most reduce the strength of lumber at the structural level, by causing not only a material discontinuity but also the deviation of the fibers that surround them. In the 80's it was introduced the theory of the flow-grain analogy as a method to approximating adequately these deviations. However, in three-dimensional applications, geometrical differences in the direction perpendicular to the longitudinal axis of the structural specimens were never considered before, which prevented the numerical simulation of some of the main types of knots, and decreased the achieved precision in those kind of knots where modeling itself was possible. This paper purposes a parametric model programmed in a finite element software, in the way that with a more general three-dimensional formulation, an automated study of the structural behavior of timber under the influence of the main types of knots is allowed by only knowing the visible geometry of such defects, and the position of the pith. Furthermore that has been confirmed experimentally obtaining very accurately simulations of the mechanical behavior of beams under four points bending test.

Programmed design of ship forms

This paper describes a new category of CAD applications devoted to the definition and parameterization of hull forms, called programmed design. Programmed design relies on two prerequisites. The first one is a product model with a variety of types large enough to face the modeling of any type of ship. The second one is a design language dedicated to create the product model. The main purpose of the language is to publish the modeling algorithms of the application in the designer knowledge domain to let the designer create parametric model scripts. The programmed design is an evolution of the parametric design but it is not just parametric design. It is a tool to create parametric design tools. It provides a methodology to extract the design knowledge by abstracting a design experience in order to store and reuse it. Programmed design is related with the organizational and architectural aspects of the CAD applications but not with the development of modeling algorithms. It is built on top and relies on existing algorithms provided by a comprehensive product model. Programmed design can be useful to develop new applications, to support the evolution of existing applications or even to integrate different types of application in a single one. A three-level software architecture is proposed to make the implementation of the programmed design easier. These levels are the conceptual level based on the design language, the mathematical level based on the geometric formulation of the product model and the visual level based on the polyhedral representation of the model as required by the graphic card. Finally, some scenarios of the use of programmed design are discussed. For instance, the development of specialized parametric hull form generators for a ship type or a family of ships or the creation of palettes of hull form components to be used as parametric design patterns. Also two new processes of reverse engineering which can considerably improve the application have been detected: the creation of the mathematical level from the visual level and the creation of the conceptual level from the mathematical level. © 2012 Elsevier Ltd. All rights reserved. 1. Introduction

High-quality region-based foreground segmentation using a spatial grid of SVM classifiers

This paper presents a novel background modeling system that uses a spatial grid of Support Vector Machines classifiers for segmenting moving objects, which is a key step in many video-based consumer applications. The system is able to adapt to a large range of dynamic background situations since no parametric model or statistical distribution are assumed. This is achieved by using a different classifier per image region that learns the specific appearance of that scene region and its variations (illumination changes, dynamic backgrounds, etc.). The proposed system has been tested with a recent public database, outperforming other state-of-the-art algorithms.

Class-Conditional Probabilistic Principal Component Analysis: application to gender recognition

Este trabajo presenta una solución al problema del reconocimiento del género de un rostro humano a partir de una imagen. Adoptamos una aproximación que utiliza la cara completa a través de la textura de la cara normalizada y redimensionada como entrada a un clasificador Näive Bayes. Presentamos la técnica de Análisis de Componentes Principales Probabilístico Condicionado-a-la-Clase (CC-PPCA) para reducir la dimensionalidad de los vectores de características para la clasificación y asegurar la asunción de independencia para el clasificador. Esta nueva aproximación tiene la deseable propiedad de presentar un modelo paramétrico sencillo para las marginales. Además, este modelo puede estimarse con muy pocos datos. En los experimentos que hemos desarrollados mostramos que CC-PPCA obtiene un 90% de acierto en la clasificación, resultado muy similar al mejor presentado en la literatura---ABSTRACT---This paper presents a solution to the problem of recognizing the gender of a human face from an image. We adopt a holistic approach by using the cropped and normalized texture of the face as input to a Naïve Bayes classifier. First it is introduced the Class-Conditional Probabilistic Principal Component Analysis (CC-PPCA) technique to reduce the dimensionality of the classification attribute vector and enforce the independence assumption of the classifier. This new approach has the desirable property of a simple parametric model for the marginals. Moreover this model can be estimated with very few data. In the experiments conducted we show that using CCPPCA we get 90% classification accuracy, which is similar result to the best in the literature. The proposed method is very simple to train and implement.

Parametric study of the expansive joint model for cracking of concrete due to rebar corrosion

Un modelo numérico llamado elemento junta expansiva fue programado para simular la expansión mecánica del óxido y estudiar la fisuración en el hormigón circundante. El elemento junta expansiva trabaja con elementos finitos con fisura cohesiva embebida adaptable para simular la fractura del hormigón según el modelo de fisura cohesiva. Se ha comprobado que el modelo reproduce correctamente el patrón de fisuración del hormigón que se obtiene en ensayos de corrosión acelerada. En este trabajo, se realiza un estudio paramétrico del elemento junta expansiva para establecer los límites de los parámetros constitutivos del óxido. Se simula una cierta expansión variando los valores de los parámetros del óxido y se estudian la apertura de fisura y las tensiones resultantes en el hormigón. Se determina el rango de valores para los que los resultados de las simulaciones son prácticamente iguales, con el menor número posible de iteraciones.

Automatic Bandwidth Estimation Strategy for High-Quality Non-Parametric Modeling based Moving Object Detection

Here, a novel and efficient moving object detection strategy by non-parametric modeling is presented. Whereas the foreground is modeled by combining color and spatial information, the background model is constructed exclusively with color information, thus resulting in a great reduction of the computational and memory requirements. The estimation of the background and foreground covariance matrices, allows us to obtain compact moving regions while the number of false detections is reduced. Additionally, the application of a tracking strategy provides a priori knowledge about the spatial position of the moving objects, which improves the performance of the Bayesian classifier

Reduced three-wave model to study the hard transition to chaotic dynamics in Alfven wave-fronts

The derivative nonlinear Schrödinger (DNLS) equation, describing propagation of circularly polarized Alfven waves of finite amplitude in a cold plasma, is truncated to explore the coherent, weakly nonlinear, cubic coupling of three waves near resonance, one wave being linearly unstable and the other waves damped. In a reduced three-wave model (equal damping of daughter waves, three-dimensional flow for two wave amplitudes and one relative phase), no matter how small the growth rate of the unstable wave there exists a parametric domain with the flow exhibiting chaotic dynamics that is absent for zero growth-rate. This hard transition in phase-space behavior occurs for left-hand (LH) polarized waves, paralelling the known fact that only LH time-harmonic solutions of the DNLS equation are modulationally unstable.

A 2D computational parametric analysis of the sheltering effect of fences on a railway vehicle standing on a bridge and experiencing crosswinds

In a crosswind scenario, the risk of high-speed trains overturning increases when they run on viaducts since the aerodynamic loads are higher than on the ground. In order to increase safety, vehicles are sheltered by fences that are installed on the viaduct to reduce the loads experienced by the train. Windbreaks can be designed to have different heights, and with or without eaves on the top. In this paper, a parametric study with a total of 12 fence designs was carried out using a two-dimensional model of a train standing on a viaduct. To asses the relative effectiveness of sheltering devices, tests were done in a wind tunnel with a scaled model at a Reynolds number of 1 × 105, and the train’s aerodynamic coefficients were measured. Experimental results were compared with those predicted by Unsteady Reynolds-averaged Navier-Stokes (URANS) simulations of flow, showing that a computational model is able to satisfactorily predict the trend of the aerodynamic coefficients. In a second set of tests, the Reynolds number was increased to 12 × 106 (at a free flow air velocity of 30 m/s) in order to simulate strong wind conditions. The aerodynamic coefficients showed a similar trend for both Reynolds numbers; however, their numerical value changed enough to indicate that simulations at the lower Reynolds number do not provide all required information. Furthermore, the variation of coefficients in the simulations allowed an explanation of how fences modified the flow around the vehicle to be proposed. This made it clear why increasing fence height reduced all the coefficients but adding an eave had an effect mainly on the lift force coefficient. Finally, by analysing the time signals it was possible to clarify the influence of the Reynolds number on the peak-to-peak amplitude, the time period and the Strouhal number.

Numerical and experimental study of the parametric rolling of a fisihing vessel in regular head waves

The dynamic behaviour of a fishing vessel in waves is studied in order to reveal its parametric rolling characteristics. This paper presents experimental and numerical results in longitudinal regular waves. The experimental results are compared against the results of a time-domain non-linear strip theory model of ship motions in six degrees-of-freedom. These results contribute to the validation of the parametric rolling prediction method, so that it can be used as an assessment tool to evaluate both the susceptibility and severity of occurrence of parametric rolling at the early design stage of these types of vessels.

Extracting energy from Vortex-Induced Vibrations: A parametric study

Here, Vortex-Induced Vibrations (VIVs) of a circular cylinder are analyzed as a potential source for energy harvesting. To this end, VIV is described by a one-degree-of-freedom model where fluid forces are introduced from experimental data from forced vibration tests. The influence of some influencing parameters, like the mass ratio m∗ or the mechanical damping ζ in the energy conversion factor is investigated. The analysis reveals that: (i) the maximum efficiency ηM is principally influenced by the mass-damping parameter m∗ζ and there is an optimum value of m∗ζ where ηM presents a maximum; (ii) the range of reduced velocities with significant efficiency is mainly governed by m∗, and (iii) it seems that encouraging high efficiency values can be achieved for high Reynolds numbers.

PV power forecast using a nonparametric PV model

Forecasting the AC power output of a PV plant accurately is important both for plant owners and electric system operators. Two main categories of PV modeling are available: the parametric and the nonparametric. In this paper, a methodology using a nonparametric PV model is proposed, using as inputs several forecasts of meteorological variables from a Numerical Weather Forecast model, and actual AC power measurements of PV plants. The methodology was built upon the R environment and uses Quantile Regression Forests as machine learning tool to forecast AC power with a confidence interval. Real data from five PV plants was used to validate the methodology, and results show that daily production is predicted with an absolute cvMBE lower than 1.3%.

A wind tunnel two-dimensional parametric investigation of biplane configurations

This paper presents an experimental and systematic investigation about how geometric parameters on a biplane configuration have an influence on aerodynamic parameters. This experimental investigation has been developed in a two-dimensional approach. Theoretical studies about biplanes configurations have been developed in the past, but there is not enough information about experimental wind tunnel data at low Reynolds number. This two-dimensional study is a first step to further tridimensional investigations about the box wing configuration. The main objective of the study is to find the relationships between the geometrical parameters which present the best aerodynamic behavior: the highest lift, the lowest drag and the lowest slope of the pitching moment. A tridimensional wing-box model will be designed following the pattern of the two dimensional study conclusions. It will respond to the geometrical relationships that have been considered to show the better aerodynamic behavior. This box-wing model will be studied in the aim of comparing the advantages and disadvantages between this biplane configuration and the plane configuration, looking for implementing the box-wing in the UAV?s field. Although the box wing configuration has been used in a small number of existing UAV, prestigious researchers have found it as a field of high aerodynamic and structural potential.

Parametric analysis on bridge reinforced concrete elevated pile-cap foundations

Current design practices recommend to comply with the capacity protection principle, which pays special attention to ensuring an elastic response of the foundations under ground motion events. However, in cases such as elevated reinforced concrete (RC) pile-cap foundation typologies, this design criterion may lead to conservative designs, with excessively high construction costs. Reinforced concrete elevated pile-cap foundations is a system formed by a group of partially embedded piles connected through an aboveground stayed cap and embedded in soil. In the cases when they are subjected to ground motions, the piles suffer large bending moments that make it difficult to maintain their behavior within the elastic range of deformations. Aiming to make an in-depth analysis of the nonlinear behavior of elevated pile-cap foundations, a cyclic loading test was performed on a concrete 2x3 pile configuration specimen of elevated pile-cap foundation. Two results of this test, the failure mechanism and the ductile behavior, were used for the calibration of a numerical model built in OpenSees framework, by using a pushover analysis. The calibration of the numerical model enabled an in-depth study of the seismic nonlinear response of this kind of foundations. A parametric analysis was carried for this purpose, aiming to study how sensitive RC elevated pile-cap foundations are, when subjected to variations in the diameter of piles, reinforcement ratios, external loads, soil density or multilayer configurations. This analysis provided a set of ductility factors that can be used as a reference for design practices and which correspond to each of the cases analyzed.