Efficient computation of high-order Meixner moments for large-size signals and images analysis

2021 ◽

Vol 20 (3) ◽

pp. 1-14

Author(s):

Erlu Wang ◽

Priyan Malarvizhi Kumar ◽

R. Dinesh Jackson samuel

Keyword(s):

Difficult Problem ◽

High Order ◽

Computer Applications ◽

Data Systems ◽

Beam Search ◽

Graphical Dependence ◽

Large Size ◽

Comparable Accuracy ◽

Bilingual Text ◽

Dependency Model

It is a very difficult problem to achieve high-order functionality for graphical dependency parsing without growing decoding difficulties. To solve this problem, this article offers a way for Semantic Graphical Dependence Parsing Model (SGDPM) with a language-dependency model and a beam search to represent high-order functions for computer applications. The first approach is to scan a large amount of unnoticed data using a baseline parser. It will build auto-parsed data to create the Language-dependence Model (LDM). The LDM is based on a set of new features during beam search decoding, where it will incorporate the LDM features into the parsing model and utilize the features in parsing models of bilingual text. Our approach has main benefits, which include rich high-order features that are described given the large size and the additional large crude corpus for increasing the difficulty of decoding. Further, SGDPM has been evaluated using the suggested method for parsing tasks of mono-parsing text and bi-parsing text to carry out experiments on the English and Chinese data in the mono-parsing text function using computer applications. Experimental results show that the most accurate Chinese data is obtained with the best known English data systems and their comparable accuracy. Furthermore, the lab-scale experiments on the Chinese/General bilingual information in the bitext parsing process outperform the best recorded existing solutions.

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A Renewal Weakest-Link Model of Strength Distribution of Polycrystalline Silicon MEMS Structures

Journal of Applied Mechanics ◽

10.1115/1.4043440 ◽

2019 ◽

Vol 86 (8) ◽

Cited By ~ 5

Author(s):

Zhifeng Xu ◽

Roberto Ballarini ◽

Jia-Liang Le

Keyword(s):

Experimental Data ◽

Polycrystalline Silicon ◽

Microelectromechanical Systems ◽

Strength Distribution ◽

Material Strength ◽

Mems Devices ◽

Efficient Computation ◽

Weakest Link ◽

Large Size ◽

The Stability

Experimental data have made it abundantly clear that the strength of polycrystalline silicon (poly-Si) microelectromechanical systems (MEMS) structures exhibits significant variability, which arises from the random distribution of the size and shape of sidewall defects created by the manufacturing process. Test data also indicated that the strength statistics of MEMS structures depends strongly on the structure size. Understanding the size effect on the strength distribution is of paramount importance if experimental data obtained using specimens of one size are to be used with confidence to predict the strength statistics of MEMS devices of other sizes. In this paper, we present a renewal weakest-link statistical model for the failure strength of poly-Si MEMS structures. The model takes into account the detailed statistical information of randomly distributed sidewall defects, including their geometry and spacing, in addition to the local random material strength. The large-size asymptotic behavior of the model is derived based on the stability postulate. Through the comparison with the measured strength distributions of MEMS specimens of different sizes, we show that the model is capable of capturing the size dependence of strength distribution. Based on the properties of simulated random stress field and random number of sidewall defects, a simplified method is developed for efficient computation of strength distribution of MEMS structures.

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Multifrequency radio observations of a SNR in the LMC: The case of SNR J0527-6549 (DEM l204)

Serbian Astronomical Journal ◽

10.2298/saj1081043b ◽

2010 ◽

pp. 43-49 ◽

Cited By ~ 12

Author(s):

L.M. Bozzetto ◽

M.D. Filipovic ◽

E.J. Crawford ◽

I.S. Bojicic ◽

J.L. Payne ◽

...

Keyword(s):

Spectral Index ◽

Supernova Remnant ◽

Large Magellanic Cloud ◽

Magellanic Cloud ◽

High Order ◽

Older Age ◽

Radio Observations ◽

Large Size ◽

Peak Value ◽

Compact Array

We present a detailed study and results of new Australia Telescope Compact Array (ATCA) observations of supernova remnant SNR J0527-6549. This Large Magellanic Cloud (LMC) object follows a typical supernova remnant (SNR) horseshoe morphology with a diameter of D=(66?58)?1 pc which is among the largest SNRs in the LMC. Its relatively large size indicates older age while a steeper than expected radio spectral index of ?=-0.92?0.11 is more typical of younger and energetic SNRs. Also, we report detections of regions with a high order of polarization at a peak value of ~54%?17% at 6 cm.

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A Guideline for Using the Multi-Domain BEM for Analyzing the Interior Acoustic Field

Journal of Computational Acoustics ◽

10.1142/s0218396x03002000 ◽

2003 ◽

Vol 11 (03) ◽

pp. 403-424 ◽

Cited By ~ 5

Author(s):

Ji-Hoon Jeong ◽

Jeong-Guon Ih ◽

Byung-Chai Lee

Keyword(s):

Computation Time ◽

Computer Memory ◽

Two Dimensional ◽

Efficient Computation ◽

Memory Space ◽

Acoustic Cavity ◽

Large Size ◽

Computational Performance ◽

Linear Elements ◽

Single Cavity

The calculation efficiency of the conventional single-domain acoustic BEM (SBEM) is important for analyzing large scaled or complicated acoustic cavity systems. Although the multi-domain BEM (MBEM) has been developed to deal with such complex shaped and large size acoustic systems effectively, it is generally known that the MBEM requires more computation time and computer memory space than the SBEM. However, if the proper division were applied on a single cavity, it is thought that the MBEM could be the better method than the SBEM in the viewpoint of accuracy and efficiency. This might be possible when one reminds the fact that the effort in the MBEM calculations also depends strongly on the shape of the total acoustic cavity. In this article, the general computational characteristics of the MBEM for analyzing the interior acoustic fields are investigated to provide a guideline in the division of a single cavity into several subdomains for having better computational performance than using the SBEM. A two-dimensional long duct comprised of a number of linear elements is taken as a demonstration example. It is clearly shown that the modification of MBEM model through the present guidelines achieves more accurate and efficient computation than using the SBEM.

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Accurate and Efficient Computation of High Order Zernike Moments

Advances in Visual Computing - Lecture Notes in Computer Science ◽

10.1007/11595755_56 ◽

2005 ◽

pp. 462-469 ◽

Cited By ~ 23

Author(s):

Gholamreza Amayeh ◽

Ali Erol ◽

George Bebis ◽

Mircea Nicolescu

Keyword(s):

Zernike Moments ◽

High Order ◽

Efficient Computation

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High Order Fixed-Point Sweeping WENO Methods for Steady State of Hyperbolic Conservation Laws and Its Convergence Study

Communications in Computational Physics ◽

10.4208/cicp.130715.010216a ◽

2016 ◽

Vol 20 (4) ◽

pp. 835-869 ◽

Cited By ~ 8

Author(s):

Liang Wu ◽

Yong-Tao Zhang ◽

Shuhai Zhang ◽

Chi-Wang Shu

Keyword(s):

Fixed Point ◽

Steady State ◽

Conservation Laws ◽

Hyperbolic Conservation Laws ◽

High Order ◽

Efficient Computation ◽

Weno Schemes ◽

Hyperbolic Conservation ◽

Time Marching ◽

Fifth Order

AbstractFixed-point iterative sweeping methods were developed in the literature to efficiently solve static Hamilton-Jacobi equations. This class of methods utilizes the Gauss-Seidel iterations and alternating sweeping strategy to achieve fast convergence rate. They take advantage of the properties of hyperbolic partial differential equations (PDEs) and try to cover a family of characteristics of the corresponding Hamilton-Jacobi equation in a certain direction simultaneously in each sweeping order. Different from other fast sweeping methods, fixed-point iterative sweeping methods have the advantages such as that they have explicit forms and do not involve inverse operation of nonlinear local systems. In principle, it can be applied in solving very general equations using any monotone numerical fluxes and high order approximations easily. In this paper, based on the recently developed fifth order WENO schemes which improve the convergence of the classical WENO schemes by removing slight post-shock oscillations, we design fifth order fixed-point sweeping WENO methods for efficient computation of steady state solution of hyperbolic conservation laws. Especially, we show that although the methods do not have linear computational complexity, they converge to steady state solutions much faster than regular time-marching approach by stability improvement for high order schemes with a forward Euler time-marching.

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