摘要 :
We propose an efficient, hybrid Fourier-Contourlet regularized deconvolution (ForCorRD)algorithm that performs noise regularization via scalar shrinkage in both the Fourier and Contourletdomains. It is based on and more efficient ...
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We propose an efficient, hybrid Fourier-Contourlet regularized deconvolution (ForCorRD)algorithm that performs noise regularization via scalar shrinkage in both the Fourier and Contourletdomains. It is based on and more efficient to the famous Fourier-Wavelet regularized deconvolution(ForWaRD) algorithm. The Fourier shrinkage exploits the Fourier transform's economical representationof the colored noise inherent in deconvolution, whereas the contourlet shrinkage exploits the contourletdomain's economical representation of piecewise smooth signals and images. Like the ForWaRD algorithm,ForCoRD is also applicable to all ill-conditioned deconvolution problems. In the same experiment conditionfor nature images' debluring, we prove that ForCoRD outperforms ForWaRD's in terms of both visualquality and PSNR performance.
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摘要 :
We propose an efficient, hybrid Fourier-Contourlet regularized deconvolution (ForCorRD) algorithm that performs noise regularization via scalar shrinkage in both the Fourier and Contourlet domains. It is based on and more efficien...
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We propose an efficient, hybrid Fourier-Contourlet regularized deconvolution (ForCorRD) algorithm that performs noise regularization via scalar shrinkage in both the Fourier and Contourlet domains. It is based on and more efficient to the famous Fourier-Wavelet regularized deconvolution (ForWaRD) algorithm. The Fourier shrinkage exploits the Fourier transform's economical representation of the colored noise inherent in deconvolution, whereas the contourlet shrinkage exploits the contourlet domain's economical representation of piecewise smooth signals and images. Like the ForWaRD algorithm, ForCoRD is also applicable to all ill-conditioned deconvolution problems. In the same experiment condition for nature images' debluring, we prove that ForCoRD outperforms ForWaRD's in terms of both visual quality and PSNR performance.
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In order to solve the problem of performance analysis and optimal design of flexible suspension structure for displacement measurement probing sensors, a novel theoretical model of stiffness with high accuracy is proposed. Both di...
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In order to solve the problem of performance analysis and optimal design of flexible suspension structure for displacement measurement probing sensors, a novel theoretical model of stiffness with high accuracy is proposed. Both displacements constraint and angle constraint of elastic diaphragms are considered during modeling, and a stiffness equation including all dimensional parameters and material characteristics of elastic diaphragms is obtained. Thus the stiffness of the flexible suspension structure is modeled theoretically and accurately, and the influence on performance of probing sensors by each parameter can be analyzed. Simulations results show that the theoretical model of stiffness proposed is more accurate than existing models, and performance analysis and optimal design of probing sensors can be carried out based on it.
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摘要 :
In order to solve the problem of performance analysis and optimal design of flexible suspension structure for displacement measurement probing sensors, a novel theoretical model of stiffness with high accuracy is proposed. Both di...
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In order to solve the problem of performance analysis and optimal design of flexible suspension structure for displacement measurement probing sensors, a novel theoretical model of stiffness with high accuracy is proposed. Both displacements constraint and angle constraint of elastic diaphragms are considered during modeling, and a stiffness equation including all dimensional parameters and material characteristics of elastic diaphragms is obtained. Thus the stiffness of the flexible suspension structure is modeled theoretically and accurately, and the influence on performance of probing sensors by each parameter can be analyzed. Simulations results show that the theoretical model of stiffness proposed is more accurate than existing models, and performance analysis and optimal design of probing sensors can be carried out based on it.
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Data fusion is the process of combining multiple records representing the same real-world object into a single, consistent, and clean representation. In order to solve data conflict, an approach for resolving data conflict based o...
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Data fusion is the process of combining multiple records representing the same real-world object into a single, consistent, and clean representation. In order to solve data conflict, an approach for resolving data conflict based on Markov logic networks is proposed. First, a data candidate set which have a higher veracity is obtained by assessing the accuracy of the data source. Second, with the aid of the results from the data candidate set, the attributes of which data conflict can be resolved via adding some more rules, such as the relationship between data sources, the relationship between data sources and facts and the relationship between facts. Experimental results show that the proposed approach can resolve the data conflict effectively, which is more accurate.
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Natural diamond cutters are critical cutting tools applied in nano science and technology fields. The properties of diamond crystal which are foundations for making high precision cutters also bring difficulties to the cutter grin...
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Natural diamond cutters are critical cutting tools applied in nano science and technology fields. The properties of diamond crystal which are foundations for making high precision cutters also bring difficulties to the cutter grinding process. In this paper, an adaptive control method is described based on principles of predictive function control. The application aim is to implement constant pressure grinding of natural diamond cutters. A real-time grinding process model was first constructed, taking into consideration that time-variant characteristics of wheel-cutter contact and the low stiffness of flexible stage in the practical grinding system. Controller design steps were carried out sequentially according to this model. Controller performances were simulated under three conditions of non-disturbance, model parameter mismatch, and time-variant disturbance. Simulation results show that the designed controller achieves desired performance in real-time stability and robustness for diamond cutter grinding with characteristics of nonlinear and time variance.
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摘要 :
Natural diamond cutters are critical cutting tools applied in nano science and technology fields. The properties of diamond crystal which are foundations for making high precision cutters also bring difficulties to the cutter grin...
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Natural diamond cutters are critical cutting tools applied in nano science and technology fields. The properties of diamond crystal which are foundations for making high precision cutters also bring difficulties to the cutter grinding process. In this paper, an adaptive control method is described based on principles of predictive function control. The application aim is to implement constant pressure grinding of natural diamond cutters. A real-time grinding process model was first constructed, taking into consideration that time-variant characteristics of wheel-cutter contact and the low stiffness of flexible stage in the practical grinding system. Controller design steps were carried out sequentially according to this model. Controller performances were simulated under three conditions of non-disturbance, model parameter mismatch, and time-variant disturbance. Simulation results show that the designed controller achieves desired performance in real-time stability and robustness for diamond cutter grinding with characteristics of nonlinear and time variance.
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Surface roughness measurements were performed on fused-silica, silicon wafer, and glass-ceramic (Zerodur) by mechanical stylus profiler, atomic force microscope (AFM), and white light interferometer (WLI). Because of the differenc...
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Surface roughness measurements were performed on fused-silica, silicon wafer, and glass-ceramic (Zerodur) by mechanical stylus profiler, atomic force microscope (AFM), and white light interferometer (WLI). Because of the differences of spatial frequency bandwidth of the measurement instruments surface roughnesses are actually not directly comparable. In this study, a novel method has been developed to directly compare the roughnesses measured with different instruments using power spectral density (PSD) function which can be calculated from the measurement data. The RMS roughnesses were obtained by integrating areas in the overlapping regions of two or more instruments so that roughnesses measured with different instruments could be directly compared. The agreement among RMS roughnesses measured with the different techniques improved considerably, and the remaining differences could be explained as being caused by surface features to which the instruments responded differently. This fruitful work also provides a great guidance for the selection of surface roughness measurement instruments.
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摘要 :
Surface roughness measurements were performed on fused-silica, silicon wafer, and glass-ceramic (Zerodur) by mechanical stylus profiler, atomic force microscope (AFM), and white light interferometer (WLI). Because of the differenc...
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Surface roughness measurements were performed on fused-silica, silicon wafer, and glass-ceramic (Zerodur) by mechanical stylus profiler, atomic force microscope (AFM), and white light interferometer (WLI). Because of the differences of spatial frequency bandwidth of the measurement instruments surface roughnesses are actually not directly comparable. In this study, a novel method has been developed to directly compare the roughnesses measured with different instruments using power spectral density (PSD) function which can be calculated from the measurement data. The RMS roughnesses were obtained by integrating areas in the overlapping regions of two or more instruments so that roughnesses measured with different instruments could be directly compared. The agreement among RMS roughnesses measured with the different techniques improved considerably, and the remaining differences could be explained as being caused by surface features to which the instruments responded differently. This fruitful work also provides a great guidance for the selection of surface roughness measurement instruments.
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The prediction of financial distress has received considerable attention in accounting and corporate financial literatures for decades. Various quantitative prediction methods based on financial ratios derived from financial state...
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The prediction of financial distress has received considerable attention in accounting and corporate financial literatures for decades. Various quantitative prediction methods based on financial ratios derived from financial statements have been proposed. However, the important role of managers' experiential knowledge and non-financial information has been ignored. A method integrating quantitative analysis and qualitative analysis is put forward to realize effective selection of financial distress prediction indicators in the process of modeling financial distress prediction. The purpose of this paper is to provide Sinopec Corp. and its subsidiaries a good method to forecast their financial status efficiently, conveniently and accurately. The Case study of Sinopec YIZHENG Chemical fibre Company is carried out at section 3, which indicates that the proposed method is more suitable for financial distress prediction than single quantitative analysis.
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