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In this paper we develop and compare several multi-resolution microscope slide scanning algorithms of increasing complexity. The algorithms utilise a low-resolution image of the whole sample to optimise the high-resolution scan in terms of decreasing the number of field-of-view (FOV) images required. This approach, while commonly applied in microscopy, has never been fully evaluated to quantify expected...
We considered the grid generation problem of computation of a grid over a given domain from the knowledge of the domain boundary. A simple grid generation method based on the direct computing of grid curves was proposed. The grid curves wer constructed in u-direction and v-direction by two formulas with the shape parameters, seperately. By choosing different shape parameters, different grid curves...
In this paper we describe a joint methodology for exploiting multispectral and LIDAR data for the characterization of an urban area. The test site is the town of Uberlandia (Brazil). We first discuss the overall framework for 2D and 3D data fusion, and then introduce the approach investigated in this work. We then provide and discuss the mapping results obtained in our investigation. Finally, in order...
In this paper, the shape identification method in the Inverse Heat Conduction Problems (IHCP) is applied to estimate the shape of frost on a refrigeration tube. The inverse algorithm consists of direct, inverse analysis and gradient-based optimization method. The direct analysis used Finite Element Method (FEM) in an unstructured grid system to solve the direct heat conduction problem. The inverse...
Conservative flows that minimize the kinetic energy have be linked to the problem of optimal transport, a field with numerous applications in many areas of mathematics, science and engineering ranging from probability theory, fluid dynamics meteorology, oceanography to antenna design, image registration and shape analysis among others. This paper solves the problem of computing energy-minimizing flows...
If a linear turbine cascade experimental apparatus uses only few cascade model, it has several advantages in experiment, such as increasing the accuracy of experimental result by applying bigger turbine cascade model on the same apparatus without increasing compressor power, and easy access of optical devices within the cascade passage. However, it is difficult to make the same periodic flow conditions...
A common practical problem when implementing signal model-fitting procedures is that of the frequency local minima. Unfortunately, conventional optimization methods, like Steepest Descent, Newton's Method and Conjugate Gradients (CG) are subject to this problem. What is worse, if the estimated frequency is not correct, the estimated signal amplitude and decay rate will be incorrect. In this paper,...
Topology optimization, also known as structural layout optimization, the basic idea is a design method that looking for the most optimal distributing form structural stiffness in design space or the best way to pass power, in order to achieve optimization of some behaviors or alleviation of the structure weight. Used continuum structural topology optimization theory, and carried out pioneering research...
We present a convex variational active contour model with shape priors, for spatio-temporal segmentation of the endocardium in 2D B-mode ultrasound sequences, which can be solved by Continuous Cuts. A four component (signal dropout, echocardiographic artifacts, blood and tissue) Rayleigh mixture model is proposed for modeling the inside and outside of the endocardium. The parameters of the mixture...
We present DELTR, an automated pipeline for the analysis of time-resolved light sheet fluorescence microscopy images of zebrafish embryogenesis. It comprises 3D nucleus segmentation using shape-regularized graph cuts, parallelized extraction of geometrical features, and cell tracking by means of combinatorial optimization. We also discuss the interactive visualization software used for validating...
This paper proposes a sparsity driven shape registration method for occluded facial feature localization. Most current shape registration methods search landmark locations which comply both shape model and local image appearances. However, if the shape is partially occluded, the above goal is inappropriate and often leads to distorted shape results. In this paper, we introduce an error term to rectify...
Calculation and display of a thermal bottleneck scalar field as an integrated part of a CFD simulation enables a practitioner to interact with and understand the physical mechanisms by which heat is removed from an electronics system. By applying the characteristics of this thermal bottleneck scalar to heat sink design aspects, one can identify near optimal solutions with a minimal number of simulations...
In this paper, we propose a new segmentation algorithm that combines a graph-based shape model with image cues based on boosted features. The landmark-based shape model encodes prior constraints through the normalized Euclidean distances between pairs of control points, alleviating the need of a large database for the training. Moreover, the graph topology is deduced from the dataset using manifold...
The main target of this paper is optimizing the slot-opening shift for cogging torque reduction in BLDC motors. In a slot-opening shift method there is no skew, therefore the known drawbacks of the skewing is prevented. In the first part of the paper the slot-opening shift method for a BLDC motor is discussed. In this case, it is desired to find a method for cogging torque reduction without deteriorating...
In this paper, we solve the problem of human detection in crowded scenes using a Bayesian 3D model based method. Human candidates are first nominated by a head detector and a foot detector, then optimization is performed to find the best configuration of the candidates and their corresponding shape models. The solution is obtained by decomposing the mutually related candidates into un-occluded ones...
The high-pressure sheet metal forming of tailor rolled blanks allows the production of optimized components specially developed for their future function, which cannot be made from conventionally rolled sheet metal. The research aims at showing that the two processes, i.e. flexible rolling and high-pressure sheet metal forming, can be well represented in finite element simulations. By linking the...
This paper presents a novel approach to simultaneously compute the motion segmentation and the 3D reconstruction of a set of 2D points extracted from an image sequence. Starting from an initial segmentation, our method proposes an iterative procedure that corrects the misclassified points while reconstructing the 3D scene, which is composed of objects that move independently. This optimization procedure...
IETR has been developing for several years a set of CAD tools for the analysis, the synthesis and the optimisation of millimetre-wave shaped dielectric lens antennas. These tools are complementary and are based on various formulations based on ray tracing, Geometrical Optics / Physical Optics, Finite-Difference Time-Domain techniques, and modal expansion techniques. Several of them have been combined...
This paper presents a linear generator used for energy harvesting system equipped in footwear, which scavenges power from back-and-forth motion during walk. Structure of the electric machine is studied, and sizing optimization by finite element analysis (FEA) is detailed. A prototype has been built, validating that the simulated and test results have a good agreement.
The paper deals with the antenna placement problem used in wireless cell planning problem or planning of distribution of wireless sensors. The mathematical formulation of the problem with the use of various optimization criteria and constraints has been provided. This NP-hard optimization problem has been solved next by an approximate algorithm, sufficient for attacking large problem instances. In...
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