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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, 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...
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...
IFS Fractal Algorithms has been well applied in the field of plant simulation, but branch simulation is still considered as a tough point until now. By investigating the true morphological structure of Cunninghamia Lanceolata, draw method is discussed respectively form three aspects of trunk, branch and leaf. One method of creating branch by using Cunninghamia Lanceolata branch structure parameter...
The paper is aimed at establishing a platform of robotic fish propelled by paired pectoral fins, so as to research pectoral fin propulsion. Locomotion of nature sample, cow-nosed ray, was analyzed before simplified mathematical model was obtained for design of the robotic fish. Locomotion of the pectoral fins is equivalent to the pass of oscillating motion from front to back in the form of cubic function...
Shape optimization problem for semilinear elliptic equation is considered. There is an optimal solution which is computed by the Levelset method. To this end the shape derivative of the functional is evaluated. In order to predict the topology changes the topological derivative is employed. Numerical results confirm that the proposed framework for numerical solution of shape optimization problems...
Visualization and simulation of rice plant make great significances to the research of quantification of field evapotranspiration, design of plant type, and optimization of cultural practices. With regard to the status that the modeling of rice plant is still weak and lack of software tool to visually simulate the structures and growth process of rice plant, a powerful and convenient rice plant modeling...
Graph matching is a fundamental problem with many applications in computer vision. Patterns are represented by graphs and pattern recognition corresponds to finding a correspondence between vertices from different graphs. In many cases, the problem can be formulated as a quadratic assignment problem, where the cost function consists of two components: a linear term representing the vertex compatibility...
Two methods is proposed to modify the shape of combined subdivision surface. One is to realize the shape modification of the combined subdivision surface by editing the curve network and updating the surface by the overlapping subdivision method, and the other one combines vertex constraint with the shape optimization method based on discrete PDE(partial differential equation), and realizes the shape...
An optimization model for grain gradation of monolithic refractory is purposed on the basis of close packing theory and field production situation. Through applying ant colony algorithms, an optimization strategy concerning grain gradation of monolithic refractory is presented. The simulation results show that our method conforms to the requirements of actual productive technology, and the optimized...
As processing capabilities of microelectronic devices increase, so does the power dissipated by them. To add to that, power distributions are non-uniform and this may create significant hot spots. These devices require improvements in thermal performance of the entire system due to their higher power dissipation and non-uniform power distribution. This study looks at impingement type heat sinks, which...
We introduce a 3D segmentation framework which uses principal shapes. The probabilistic energy function of the method is defined based on intensity, tissue type, and location information of the structures using a multiple atlas method. For intensity information, nonparametric probability density function is used which considers intensity relation of different structures. To find a local minimum of...
Modeling and rendering special phenomena in virtual battlefield environment has proved difficult with the existing techniques of computer graphics. A method for special effect modeling and simulation by using particle system is proposed. In order to simplify the simulation of various special effects, we first design a general model of particle system by capturing common features of various effects...
It was hard to set up an accurate mathematics model in cold rolling process and the structure of neural network was hard to confirm, so a CMAC neural network controller based on rough sets theory was proposed for flatness control. The original model of CMAC neural network flatness control was set up. Simultaneity dynamic learning rate was improved in the error correction algorithm of this neural network...
This paper discusses an optimal control approach for the registration of image time-series (growth modeling). It combines and augments work on an optimal control formulation to optical flow with theory from large-displacement diffeomorphic image registration. The unification of the two viewpoints leads to (i) a more efficient computation of the gradient of the optimization problem, (ii) an easier...
A novel approach is proposed to estimate the parameters of a diffeomorphism that aligns two binary images. Classical approaches usually define a cost function based on a similarity metric and then find the solution via optimization. Herein, we trace back the problem to the solution of a system of nonlinear equations which directly provides the parameters of the aligning transformation. The proposed...
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of success. A class of approaches that has shown substantial promise is one that makes independent predictions regarding locations of the model's landmarks, which are combined by enforcing a prior over their joint motion. A...
In computer graphics, animated models are widely used to represent time-varying data. In this paper, we propose an improved method to generate multiresolution animation models. We use a curvature sensitive quadric error metric (QEM) criterion as our basic measurement, which can preserve local features on the surface. We append a deformation weight to the aggregated edge contraction cost for the whole...
To perform parameter and shape optimization, an initial topology is required which affects the final solution. Topology optimization methods have the advantage to release this constraint. They are based on a splitting of the design space into cells, in which they attempt to distribute optimally some given materials. In this paper, the optimization is based on a discrete formulation of the Maxwell...
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic ldquoobjectrdquo model whose manifestation includes a deformable surface representing shape, a volumetric interior carrying appearance statistics, and an embedded classifier that separates object from background based on current feature information. Unlike...
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