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2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013

作者： Yuan, Bao Hong Zhang, De Xiang Fu, Kui Zhang, Ling Jun Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9783037858202

In order to accomplish tracking of moving objects requirements, and overcome the defect of occlusion in the process of tracking moving object, this paper presents a method which uses a combination of MeanShift and Kalman filter algorithm. MeanShift object tracking algorithm uses a histogram to describe the color characteristics of an object, and search the location of an image region that the color histogram is closest to the histogram of the object. Histogram similarity is defined in terms of the Bhattacharya coefficient. When the moving object is a large area blocked, the future state of moving object is estimated by Kalman filter. Experimental results verify that the proposed algorithm achieves efficient tracking of moving objects under the confusing situations. © (2013) Trans Tech Publications, Switzerland.

关键词： Kalman filters

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Calculation of Casimir force using FDTD method

Calculation of Casimir force using FDTD method

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2012 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2012

作者： Wang, Wang Huang, Zhixiang Wu, Bo Shen, Jing Ding, Ming Wu, Xianliang Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei China

ISBN: (纸本)9781467321839

Casimir effect is the vacuum attractive force between two neutral conducting plates. Physicists have developed some methods to calculate the Casimir effect. We will use Maxwell's stress tensor to calculate the force with statistical thermodynamics, mode functions and Green functions. With the FDTD method, we can accurately calculate the Casimir force arises from the configuration of arbitrary geometry and any medium. To illustrate this method we will demonstrate the calculation of the Casimir force in a simple 2-dimension piston-like configuration and observe changes in the force due to changes of the configuration. © 2012 IEEE.

关键词： Stress tensor

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DMFVAE:miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder

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Frontiers of Computer Science 2024年第6期18卷 259-270页

作者： Pijing WEI Qianqian WANG Zhen GAO Ruifen CAO Chunhou ZHENG Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui UniversityHefei 230601China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityHefei 230601China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial IntelligenceAnhui UniversityHefei 230601China

MicroRNAs(miRNAs)are closely related to numerous complex human diseases,therefore,exploring miRNA-disease associations(MDAs)can help people gain a better understanding of complex disease *** increasing number of computational methods have been developed to predict ***,the sparsity of the MDAs may hinder the performance of many *** addition,many methods fail to capture the nonlinear relationships of miRNA-disease network and inadequately leverage the features of network and neighbor *** this study,we propose a deep matrix factorization model with variational autoencoder(DMFVAE)to predict potential *** first decomposes the original association matrix and the enhanced association matrix,in which the enhanced association matrix is enhanced by self-adjusting the nearest neighbor method,to obtain sparse vectors and dense vectors,***,the variational encoder is employed to obtain the nonlinear latent vectors of miRNA and disease for the sparse vectors,and meanwhile,node2vec is used to obtain the network structure embedding vectors of miRNA and disease for the dense ***,sample features are acquired by combining the latent vectors and network structure embedding vectors,and the final prediction is implemented by convolutional neural network with channel *** evaluate the performance of DMFVAE,we conduct five-fold cross validation on the HMDD v2.0 and HMDD v3.2 datasets and the results show that DMFVAE performs ***,case studies on lung neoplasms,colon neoplasms,and esophageal neoplasms confirm the ability of DMFVAE in identifying potential miRNAs for human diseases.

关键词： miRNA-disease association deep matrix factorization self-adjusted nearest neighbor variational encoder network structure

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Fast calculation of wide-band RCS for three-dimensional PEC objects based on preconditioned AWE technique

Fast calculation of wide-band RCS for three-dimensional PEC ...

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URSI International Symposium on signals, Systems, and Electronics (ISSSE)

作者： Zhao, Ke-Ming Sun, Yu-Fa Key Lab. of Intelligent Computing and Signal Processing Ministry Education Anhui University Hefei 230039 China

ISBN: (纸本)9781424463558

The asymptotic waveform evaluation (AWE) technique combined with the method of moments (MOM) is often applied to accelerate the calculation of the wide-band radar cross section (RCS) of the target. However, the technique is still quite time-consuming for solving the inverse of impedance matrix when the objects are electrically large. In this paper, Krylov subspace iterative methods are applied to solve the matrix equation derived from electric field integral equation instead of matrix inverse. The dual threshold incomplete LU factorization preconditioner is adopted to improve the convergence behavior of the Krylov subspace iterative methods. The numerical computation shows that the results in this paper are in good agreement with the results obtained by the method of moments at each frequency, and the computational efficiency is improved greatly. © 2010 IEEE.

关键词： Method of moments

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A novel technique of image-based camera calibration in depth-from-defocus

A novel technique of image-based camera calibration in depth...

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1st International Conference on intelligent Networks and intelligent Systems, ICINIS 2008

作者： Zhang, Quanbing Gong, Yanyan Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9780769533919

In this paper, a novel camera parameters calibration algorithm is proposed by exploiting defocus information. The proposed algorithm is based on two defocus images of the same scene obtained by changing camera's aperture numbers. Both images can be arbitrarily blurred. The blur difference between the two defocused images was estimated. Combining with imaging geometry of the thin lens, the corresponding camera parameters can be calibrated. This proposed algorithm remove the limit of calibration algorithm given by Soon-Yong Park that one of the images used in calibration must be focused. And it is valid without process of scale normalization. The calibrated parameters yield consistent results in depth estimation. Experimental results on synthetic and real images are presented to demonstrate the effectiveness of the proposed algorithm. © 2008 IEEE.

关键词： Calibration

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GPU-based accelerated FDTD simulations for double negative (DNG) materials applications

GPU-based accelerated FDTD simulations for double negative (...

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2010 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2010

作者： Chen, Shen Dong, Sun Xian-Liang, Wu Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei 230039 China

ISBN: (纸本)9781424457052

Recently, double-negative meta-materials are widely studied in scientific research. The double-negative (DNG) mediums are characterized by simultaneous negative permittivity and permeability. In order to make the FDTD method analyze the electromagnetic scattering and propagation for doublenegative (DNG) medium, z-transform is applied to the FDTD method in the double-negative (DNG) medium. For the simulations, extremely large computer memory space and a long computational time is required. A parallel algorithm for the FDTD method on the state of the art graphics hardware is presented. The parallel computing techniques can be used to reduce the computation time significantly and have been widely applied in various complex FDTD applications. In this paper, we simulate the interaction between electromagnetic wave and DNG medium, and describe an impact of new GPU features on development process of an efficient Finite Difference Time Domain (FDTD) implementation. © 2010 IEEE.

关键词： Finite difference time domain method

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An efficient technique for extracting singularity arising in RCS computation of cylindrical antenna

An efficient technique for extracting singularity arising in...

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2010 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2010

作者： Li, Jing Sun, Yufa Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry Education Hefei 230039 China

ISBN: (纸本)9781424457052

Analysis of electromagnetic scattering characteristics from wire antennas using method of moments has been performed over the past decades. In this paper, an efficient technique is adopted to evaluate the potential and reaction integrals arising in radar cross section (RCS) computation of cylindrical antenna by method of moments. The singularity of potential and reaction integrals is extracted through the semi-analytical method. The induced current on the surface and RCS of cylindrical antenna are calculated. Numerical examples are presented to illustrate the computational accuracy and efficiency of the proposed technique. © 2010 IEEE.

关键词： Radar cross section

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Panoramic mosaicing with image interpolation

Panoramic mosaicing with image interpolation

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2001 International Symposium on intelligent Multimedia, Video and Speech processing, ISIMP 2001

作者： Ruan, Zong-Cai Liang, Dong Wei, Sui Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9628576623

Panoramic mosaics methods based on 8-paramter planar homography matrix have to overcome the accumulated errors, when a sequence of images loops back on itself. Usual methods are computationally intensive, and can not ensure complete consistency of homographies. This paper presents a simple method, which do not require the consistency of homographies. The method mainly exploits un-calibrated image perspective interpolation technique [1]. So it is of simple calculation and easy realization.

关键词： Interpolation

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Solving multi-object radar cross section based on wide-angle parabolic equation method

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Journal of Systems Engineering and Electronics 2006年第4期17卷 722-724页

作者： Huang Zhixiang Wu Qiong Wu Xianliang The Key Lab of Ministry of Education of Intelligent Computing & Signal Processing Anhui Univ. Hefei 230039 P. R. China

Based on a Pade approximation, a wide-angle parabolic equation method is introduced for computing the multiobject radar cross section （RCS） for the first time. The method is a paraxial version of the scalar wave equation, which solves the field by marching them along the paraxial direction. Numerical results show that a single wide-angle parabofic equation run can compute multi-object RCS efficiently for angles up to 45 ° . The method provides anew and efficient numerical method for computation electromagnetics.

关键词： parabolic equation method Pade approximation radar cross section paraxial direction.

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A BVP signal Detection Method of Anti-Motion Interference 12

A BVP Signal Detection Method of Anti-Motion Interference

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12th International Congress on Image and signal processing, BioMedical Engineering and Informatics, CISP-BMEI 2019

作者： Wan, Qing Wu, Xiaopei Zhang, Chao Anhui University Intelligent Computing and Signal Processing Key Lab Hefei China

ISBN: (纸本)9781728148526

The noncontact detection methods of blood volume pulse (BVP) based on facial videos have become a hot spot in recent years. However, these kinds of methods are highly sensitive to face movement. To address this problem, a novel BVP detection method based on kanade-Iucas-tomasi (KLT) and independent component analysis (ICA) was proposed, in which, KLT method was employed for tracking and locating the region of interest (ROI) in facial images, and ICA method was used to improve the signal to noise ratio (SNR) of BVP signal. Based on 120 recorded facial videos, we carried out the comparative study of the proposed method and other commonly-used methods, the experimental results show that our method has obvious advantages in eliminating motion interference. In the implementation of the blind source separation method, we also conducted four separation methods. The results show that the second order blind identification (SOBI) algorithm is the best one to separate the BVP signal. © 2019 IEEE.

关键词： Blind source separation

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