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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...
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...
Formal fitness landscape analysis enables us to study basins of attraction with great detail. This seemingly simple concept shows more variability and influence on heuristic algorithms than might be expected. We have taken a new perspective and a closer look at the properties of basins of attraction using two-dimensional visualizations to arrive at a conceptually simple but heuristically challenging...
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...
According to the problem that K-Means clustering algorithm fails to correctly distinguish non-convex shape clusters, computation mode of distance in the algorithm is changed and density metric mode which can reflect the characteristics of data themselves is adopted instead. In the mode, Delaunay triangulation graph which has the advantages of nearest neighbour and adjacency is introduced to compute...
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...
An analytic cost model is presented for M/G/1/N queueing systems. It considers the cost of customer loss versus customer delays, by varying buffer size and processor speed. We find optimal (and near optimal) configurations for a wide variety of service-time distributions. The model can provide insight into when it is better to invest in increased processor speed than to supply more buffer space. It...
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...
Gait evaluation techniques that use Stokes's theorem to integrate a system's equations of motion have traditionally been limited to finding only the net rotations or small translations produced by gaits. Recently, we have observed that certain choices of generalized coordinates allow these techniques to be extended to gaits that produce large translations. In this paper, we present a method for finding...
In this paper, feature selection is used to allow the identification of critical attributes before the reconstruction of occluded data in 3d human motion classification. This work presents Fuzzy Laplace Similarity: a new fuzzy similarity relation used in the context of fuzzy rough feature selection. The measure of similarity is critical to the performance of the selection phase, which in turn will...
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 direct approach for parametric estimation of 2D affine deformations between compound shapes is proposed. It provides the result as a least-square solution of a linear system of equations. The basic idea is to fit Gaussian densities over the objects yielding covariant functions, which preserves the effect of the unknown transformation. Based on these functions, linear equations are constructed by...
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...
Generalized cylinders (GCs) have been proposed in computer vision for object modeling in two dimensional images. However approaches so far have not investigated closed form solutions, based on a formal generic definition that covers every possible family of surfaces. In this work we derive the parametric definition of the torus-like surface that is generated when moving a planar closed curve along...
The B-spline curve is one of the most famous curves in computer graphics, computational geometry and CAGD. Developing more convenient techniques for designing and modifying B-spline curves is an important problem, and is also an important research issue. In this study, the shape modification of B-spline curves by geometric constraints is presented. A new method based on changing the control points...
Lip contours detection and tracking has been studied extensively because it can significantly improve the performance of the automatic speech recognition and face recognition systems. A major challenge is to find a robust and accurate method for detecting and tracking lip contours. In this paper, we propose and evaluate novel method for lip detection and tracking, which is based on the concept of...
In this paper, we introduce the concept of a novel robotic module, the ldquoR-Cellrdquo. R-Cell can be utilized in constructing distributed, homogeneous robotic systems. Each R-Cell is a rectangle endowed with: (a) motion capabilities provided by four revolutionary joints, each equipped with a clamping mechanism, and (b) deformation capabilities realized by four prismatic joints. The proposed module...
Any formation change of swarms in the natural environment is one of basic problems of coordination. A new transformation scheme for a man-made swarm formation is proposed, in this paper, by using the algorithms of affine transformation with respect to generalized ant colony optimization (GACO). The affine transformation algorithm can pre-determine target positions for each member of the swarm, while...
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