中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共9条,第1-9条 帮助

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Bioactivity Prediction Based on Matched Molecular Pair and Matched Molecular Series Methods 期刊论文  OAI收割
CURRENT PHARMACEUTICAL DESIGN, 2020, 卷号: 26, 期号: 33, 页码: 4195-4205
作者:  
Ding, Xiaoyu;  Cui, Chen;  Wang, Dingyan;  Zhao, Jihui;  Zheng, Mingyue
  |  收藏  |  浏览/下载:34/0  |  提交时间:2020/12/21
A simple and fast moving object segmentation based on H.264 compressed domain information (EI CONFERENCE) 会议论文  OAI收割
4th International Conference on Computational and Information Sciences, ICCIS 2012, August 17, 2012 - August 19, 2012, Chongqing, China
作者:  
Chen X.;  Chen X.;  Chen X.;  Sun L.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
Analysis of a diffractive microlens using the finite-difference time-domain method (EI CONFERENCE) 会议论文  OAI收割
作者:  
Liu Y.;  Liu H.;  Liu H.;  Liu H.;  Liu Y.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
The finite-difference time-domain (FDTD) method is used as rigorous electromagnetic analysis model to calculate the field for a diffractive microlens (DML). The FDTD is used for the entire solution rather than using a near- to far-field propagation method to obtain the far-field energy distribution  thus  all the results are vector based. We derived a formula to calculate the magnitude of electric field  which is time dependent and can be used to graphically show the light wave propagation and focusing process through a DML. Both the comparison and the integral methods are presented to obtain wave amplitude in full solution space  and the distribution of light energy behind a DML is illustrated based on the wave amplitude. The formula of diffractive efficiency of the DML is derived from a time-averaged Ponyting vector  which can indicate the propagation direction of light energy. Application of these formulations in the analysis of a DML example demonstrates the high accuracy and efficiency of our method. 2010 Society of Photo-Optical Instrumentation Engineers.  
An information theoretic approach to model reduction based on frequency-domain Cross-Gramian information (EI CONFERENCE) 会议论文  OAI收割
2010 8th World Congress on Intelligent Control and Automation, WCICA 2010, July 7, 2010 - July 9, 2010, Jinan, China
作者:  
Zhou J.
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/25
We focused our attention on model reduction for linear time invariant (LTI) continuous time systems with single input and single output (SISO). We analyzed the strongpoint and shortcoming of an information theoretic approach called minimum information loss method for model reduction. We explained relationships between the steady-state information entropy and controllability information for the Gaussian systems. The controllability  observability and Cross-Gramian information were analyzed in the time-domain. The frequency-domain Cross-Gramian information (FCGI) was defined based on Cross-Gramian matrix containing information associated with both controllability and observability. Furthermore  a valuable application of the frequency-domain Cross-Gramian information to model reduction (FCGMIL) was developed by using the concept and properties of frequency-domain Cross-Gramian information. The performance index of FCGMIL is to minimize the frequency-domain Cross-Gramian information loss caused by eliminating the state variables with weak contributions to Cross-Gramian information over some frequency band. Two numerical examples are illustrated to verify the efficiency of FCGMIL. 2010 IEEE.  
Research on a scalable parallel data mining algorithm 会议论文  OAI收割
5th International Joint Conference on INC, IMS, and IDC, Seoul, Korea, Republic of, 2009
Wang; Jinlin1; 2; Chen; Xi1; Zhou; Kefa1
收藏  |  浏览/下载:30/0  |  提交时间:2011/08/23
Central hole effect on Whispering-Gallery-Mode of triangular lattice photonic crystal microcavity (EI CONFERENCE) 会议论文  OAI收割
Optoelectronic Materials and Devices III, October 27, 2008 - October 30, 2008, Hangzhou, China
作者:  
Zhang Y.;  Wang L.;  Wang L.;  Wang L.;  Wang Z.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
A new approach for the removal of mixed noise based on wavelet transform (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:44/0  |  提交时间:2013/03/25
This paper proposed a new approach for the removal of mixed noise. There are many different ways in image denoising. Donoho et al have proposed a method for image de-noising by thresholding  ambiguity is often resulted in determining the correspondence of a modulus maximum to a singularity. In the light  and indeed  we combine the merits of the two techniques to form a new approach for the removal of mixed noise. At first  the application of their method to image denoising has been extremely successful. But the method of Donoho is based on the assumption that the type of noise is only additive Gaussian noise  we used wavelet singularity detection (WSD) technique to analyze singularities of signal and noise. According to the characteristic that wavelet transform modulus maxima of impulse noise rapidly decreases as the scale increases in wavelet domain  which is not successful for impulse noise. Mallat has also presented a method for signal denoising by discriminating the noise and the signal singularities through an analysis of their wavelet transform modulus maxima (WTMM). Nevertheless  it can be accurately located with multiscale space by going through dyadic orthogonal wavelet transform and removed. Furthermore the Gaussian noise is also removed through a level-dependent thresholding algorithm  the tracing of WTMM is not just tedious procedure computationally  algorithm. The experimental results demonstrate that the proposed method can effectively detect impulse noise and remove almost all of the noise while preserve image details very well.  
a framework for domain-specific search engine: design pattern perspective 会议论文  OAI收割
IEEE International Conference on Systems, Man and Cybernetics (SMC 03), WASHINGTON, D.C., OCT 05-08,
Zhang JL; Qu WM; Du L; Sun YF
  |  收藏  |  浏览/下载:21/0  |  提交时间:2011/07/29
Progress in the development of national knowledge infrastructure 期刊论文  OAI收割
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2002, 卷号: 17, 期号: 5, 页码: 523-534
作者:  
Cao, CG;  Feng, QZ;  Gao, Y;  Gu, F;  Si, JX
  |  收藏  |  浏览/下载:27/0  |  提交时间:2019/12/16