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This paper presents a video resizing approach that provides both efficiency and temporal coherence. Prior approaches either sacrifice temporal coherence (resulting in jitter), or require expensive spatio-temporal optimization. By assessing the requirements for video resizing we observe a fundamental tradeoff between temporal coherence in the background and shape preservation for the moving objects...
We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. Our method defines a grammar for representing changes in building geometry that approximately follow the Manhattan-world assumption which states there is a predominance of three mutually orthogonal directions in the scene. By using multiple calibrated...
Optimal cross-section design of beams plays a distinctive role which involve the rigidity of the member in bending, shear and torsion load conditions. Practically modern overhead crane girders, railway bridge girders or rail tracks etc. require constant cross-section along the axial direction as the load location changes all the time. Conventional topological optimization modeling procedures in such...
Cosec square beam have receiving uniform echo performance at the same height but different distances. The level exceeds that of traditional cosec square beam. In order to restrain interfere of multipath reflect, the beam must be cut sharply on the ground. Through setting appropriate fitness functions and choosing optimal optimization algorithm, a method of over cosec square-beam shaping with sharp...
Medical procedures such as lung biopsy and brachytherapy require maneuvering through tubular structures such as the trachea and bronchi to reach clinical targets. We introduce a new method to plan configurations for active cannulas, medical devices composed of thin, pre-curved, telescoping lumens that are capable of following controlled, curved paths through open or liquid-filled cavities. Planning...
Differential evolution (DE) is a heuristic optimization method used to solve many optimization problems in real-valued search space. It has the advantage of incorporating a relatively simple and efficient form of mutation and crossover. However, the operator of DE is primarily based on floating-point representation only and is difficult to apply to binary-based optimization problems. In this paper,...
The frontal rail structure, which profoundly affect automotive frontal crashworthiness, must have an adjust deformation behavior and excellent energy absorbing ability. This work aims to explore the proper material distribution to improve its bending mode to axial crush mode. Since the nonlinear finite element analysis to obtain sensitivities is high computational complexity, the strain-energy-density...
A time-domain numerical method to achieve reconstruction of arbitrary convex conductor cylinders was considered in this paper. And the obstacle is characterized by the discrete points. The electric field and magnetic field on the extrapolated boundary are solved by Time-Domain Finite Element Method (TD-FEM), and then the far-field value is obtained from it. Real differential evolution strategy is...
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...
This paper presents an optimization method of the back EMF for the double layered(double air gap) large scale BLDC motor by using a Latin-hypercube sampling strategy. A new configuration of the double layered BLDC motor is also proposed for the compactness and high efficiency of the system.
To enhance the performance of a Thomson-coil actuator, generalized topology modification method is developed, and applied to the shape optimization of the conducting plate. In the method, shape optimization problem is treated as that of optimal assigning of material to each segment among available materials.
In this paper, at first, the cage conductor effects on magnetization of rotor magnet in a written pole motor (WPM) are investigated. To this aim, the residual flux density of rotor magnet after exciter operation is analyzed with FEM considering magnetization characteristics of a hard magnetic material and eddy currents of rotor bars. Then, through the FE-analysis with variance of the number and shape...
For the design of an IPM motor with small torque ripple and large driving torque, the optimal design method called the ON/OFF method is attractive, because new magnetic circuit, which we could not imagined beforehand, may be obtained. In this paper, a non-parametric optimization technique to find a new magnetic circuit which minimize a torque ripple and maximize a driving torque of IPM motor is examined...
The interior permanent magnet (IPM) motor is normally designed with two or more flux barriers per pole. The form of such flux barriers has a direct impact on the torque developed by the IPM motor, including both average value and ripple. The Machaon structure is formed by flux barriers of different shape, greatly reducing the torque ripple. Their shape must be optimized based on the number of poles,...
We present a real-time pedestrian detection system based on structure and appearance classification. We discuss several novel ideas that contribute to having low-false alarms and high detection rates, while at the same time achieving computational efficiency: (i) At the front end of our system we employ stereo to detect pedestrians in 3D range maps using template matching with a representative 3D...
In this paper, we study one-bit quantizer design for distributed estimation under the minimax criterion for wireless sensor network (WSN) applications. Identical local quantizers are generally difficult to design because of the dependence on the unknown parameter under estimation. Nonidentical local quantizers are more robust in that sense. However, its design generally involves multi-dimensional...
We address the problem of correspondence between 3D isometric shapes. We present an automatic method that finds the optimal correspondence between two given (nearly) isometric shapes by minimizing the amount of deviation from isometry. We optimize the isometry error in two steps. In the first step, the 3D points uniformly sampled from the shape surfaces are transformed into spectral domain based on...
We propose a novel fully automatic three-label bone segmentation approach applied to knee segmentation (femur and tibia) from T1 and T2* magnetic resonance (MR) images. The three-label segmentation approach guarantees separate segmentations of femur and tibia which cannot be assured by general binary segmentation methods. The proposed approach is based on a convex optimization problem by embedding...
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...
The isothermal forging process of TiAl compressor blade was optimized by numerical simulation. The results show that the forging defect can be eliminated by modifying preform dimension. In addition, the offsetting force can be reduced by optimizing the shape of preform. Friction condition has obvious effect on the forging load and the reasonable friction coefficient is in the range of 0~0.04. The...
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