To improve measurement accuracy of thin cylinder's diameter by optical diffraction, an improved model is established with recursive method, which is more accurate. Theoretical error of customary model created by d...
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To improve measurement accuracy of thin cylinder's diameter by optical diffraction, an improved model is established with recursive method, which is more accurate. Theoretical error of customary model created by diffraction angle is eliminated so that the measurement accuracy is improved when the diameter is measured with the improved model. The uncertainty of measurement is created by three cases, namely the wavelength error of light source, position error of dark fringe and adjustment error of focal length of lens. The uncertainty errors due to above three cases are 0.024 μm, 1.920 μm and 0.529 μm respectively calculated with the improved model. Experimental results show that the relative measurement error is less than 0.5%, which is better than the present level of 1%, and uncertainty of measurement is less than 2 μm, which agrees well with theoretical analysis.
Infrared (IR) and visible images are commonly used in the detection and tracking of a moving target. A novel contour extraction scheme for a moving vehicle is proposed in this paper. Firstly, a motion segmentation tec...
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Although the problem of linear quadratic regulation has been well studied for discrete linear systems without delays or with only a single input delay in the past decades, the same problem for systems with multiple in...
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Flexible joint, one kind of force-sensing element, is a key part of flexible gyro. Its stiffness is very small such that it is easily disturbed by noises in working environment. During the development of the instrumen...
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Flexible joint, one kind of force-sensing element, is a key part of flexible gyro. Its stiffness is very small such that it is easily disturbed by noises in working environment. During the development of the instrument of its stiffness measuring, instability is the main factor affecting the measuring precision. This paper firstly presents a model for stiffness measuring system subjected to disturbance. Based on the model, robust H/sub /spl infin// control design for stiffness measurement of flexible joint is proposed by using a complete parametric approach of eigenstructure assignment to stabilize the stiffness measuring system and guarantee the specified H/sub /spl infin//-norm upper-bound constraint. Finally, the results of simulation show the effect of the proposed approach.
The mean and standard deviation of the magnitudes of coefficients of the transform domain are common used in texture image retrieval. This paper performs an experimental comparison on Gabor wavelet and wavelet frame b...
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In our paper, the analytical structures and properties of the one and 2D fuzzy controllers are first investigated in details. The nature of these two kinds of fuzzy controllers is next probed from the viewpoint of con...
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In our paper, the analytical structures and properties of the one and 2D fuzzy controllers are first investigated in details. The nature of these two kinds of fuzzy controllers is next probed from the viewpoint of controlengineering. For the one dimensional fuzzy controller, it is concluded that this controller is a combination of a saturation element and a nonlinear proportional controller, and the system that employs the one dimensional fuzzy controller is the combination of an open-loop control system and a closed-loop control system. On the other hand, the 2D controller is a hybrid controller, which comprises the saturation part, zero-output part, nonlinear derivative part, nonlinear proportional part, as well as nonlinear proportional-derivative part, and the 2D fuzzy controller-based control system is a loop-varying system with varying number of control loops
Image segmentation is one of the basic steps for ultrasound image analysis and medical diagnosis. However, due to the intrinsic noisy nature, it remains to be a very difficult problem. A novel segmentation method base...
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Image segmentation is one of the basic steps for ultrasound image analysis and medical diagnosis. However, due to the intrinsic noisy nature, it remains to be a very difficult problem. A novel segmentation method based on watershed transform and early vision model is presented in this paper. The early vision model improves the antinoise and texture-sensitive capability of our algorithm and watershed transform provides a simple way to get one pixel wide and closed boundaries of ultrasound images. Furthermore, a local marker method is also put forward to solve the over-segmentation problem of watershed transform. The effectiveness of proposed scheme is demonstrated through experimental results on ultrasound images
The spectrogram of Doppler ultrasound signal has been widely used in the clinical diagnosis. The additional frequency component arising from noise will produce an adverse effect on the subjective analysis of the spect...
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The spectrogram of Doppler ultrasound signal has been widely used in the clinical diagnosis. The additional frequency component arising from noise will produce an adverse effect on the subjective analysis of the spectrogram and its quantitative analysis. Two approaches based on the adaptive representations including the adapted local cosine transform (CPD) and the wavelet packet (WPD), combined with the garrote thresholding, and is proposed to denoising quadrature Doppler ultrasound signal. At first, to avoid the phase distortion induced by denoising the complex Doppler ultrasound signal directly, the directional information is extracted from the quadrature signal. And then the denoising methods based on the adaptive representations are performed on the forward and reverse flow signals, respectively. At last, the estimated signal is reconstructed from the denoised signals using Hilbert transform. The simulation results have shown that these approaches are superior to ones based on the wavelet transform, especially under low SNR circumstances, and moreover, the denoising method using the CPD has achieved the best performance
Tracking maneuvering target in cluttered environment is a problem of great theoretical and application interest. In this paper a new smoothing particle filter algorithm is proposed which combines the particle filter w...
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Tracking maneuvering target in cluttered environment is a problem of great theoretical and application interest. In this paper a new smoothing particle filter algorithm is proposed which combines the particle filter with a Gibbs sampler to perform the smoothing of the estimation of the target maneuvering and measurement origin. This algorithm is used to estimate states of a maneuvering target from its cluttered measurements, and the simulation results show its powerful ability to solve the problem
Tracking a ballistic object in the reentry phase by processing radar measurements has attracted much attention of researchers, to make the estimations more accurate, the idea of iteration is often used in the process ...
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Tracking a ballistic object in the reentry phase by processing radar measurements has attracted much attention of researchers, to make the estimations more accurate, the idea of iteration is often used in the process of updating which has no relationship with dynamics of the system. In this paper a new iterative method using unscented transform (UT) named UIKF is presented, the simulation results demonstrate its effectiveness.
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