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Chinese Academy of Sciences Institutional Repositories Grid
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An adaptive multi-frame parallel iterative method for accelerating real-time magnetic particle imaging reconstruction 期刊论文  OAI收割
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 24, 页码: 16
作者:  
Shen, Yusong;  Zhang, Liwen;  Shang, Yaxin;  Jia, Guang;  Yin, Lin
  |  收藏  |  浏览/下载:20/0  |  提交时间:2024/02/22
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 7
作者:  
Liu, Mingming;  Cheng, Long;  Gu, Yingqi;  Wang, Ying;  Liu, Qingzhi
  |  收藏  |  浏览/下载:25/0  |  提交时间:2022/06/21
Development of real-time plasma current profile reconstruction with POINT diagnostic for EAST plasma control 期刊论文  OAI收割
FUSION ENGINEERING AND DESIGN, 2017, 卷号: 120, 期号: 无, 页码: 1-8
作者:  
Huang, Y.;  Xiao, B. J.;  Luo, Z. P.;  Qian, J. P.;  Li, S.
收藏  |  浏览/下载:29/0  |  提交时间:2018/05/25
Coherence-enhancing line drawing for color images 期刊论文  OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2013, 卷号: 56, 期号: 11
Wang ShanDong; Ma ZiYang; Liu XueHui; Chen YanYun; Wu EnHua
  |  收藏  |  浏览/下载:30/0  |  提交时间:2014/12/16
Quantitatively comparing phase-field modeling with direct real time observation by synchrotron X-ray radiography of the initial transient during directional solidification of an Al-Cu alloy 期刊论文  OAI收割
Acta Materialia, 2012, 卷号: 60, 期号: 1, 页码: 199-207
Y. Chen; A. A. Bogno; N. M. Xiao; B. Billia; X. H. Kang; H. Nguyen-Thi; X. H. Luo; D. Z. Li
收藏  |  浏览/下载:82/0  |  提交时间:2013/02/05
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Sun H.;  Han H.-X.;  Sun H.
收藏  |  浏览/下载:63/0  |  提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring  precision  and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection  the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure  but in order to capture the change of the state space  it need a certain amount of particles to ensure samples is enough  and this number will increase in accompany with dimension and increase exponentially  this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"  we expand the classic Mean Shift tracking framework.Based on the previous perspective  we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis  Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism  used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation  and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information  this approach also inhibit interference from the background  ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
The application of TMS320c64x DSP assembly language in correlation tracking algorithms (EI CONFERENCE) 会议论文  OAI收割
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
Huang D.; Wu Z.; Liang M.; Dong Y.; Peng T.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
In order to improve the real-time performance of the conventional correlation tracking algorithm based on full search method  for its huge computation amount and vast correlation matching times in the process of searching an optimal matching position  a method of combining the TMS320C64x DSP assembly language and software pipelining is proposed to realize template matching which costs the most time of the algorithm. Choose high performance DSP chip TMS320DM642 as the core processor of the hardware platform  and schedule each one of the instruction in the algorithm to maximize performance using the instruction-level parallelism of the DSP. The experimental results indicate the time of template image matching implemented in assembly language has decreased from 49.36ms to 0.62ms. It is concluded that the correlation tracking adopting proposed method can meet the real-time and stability requirement of the target tracking. 2010 IEEE.  
改进的以SMT为基础的实时系统限界模型检测 期刊论文  OAI收割
软件学报, 2010, 卷号: 21, 期号: 7, 页码: 1491-1502
徐亮
  |  收藏  |  浏览/下载:26/0  |  提交时间:2011/05/23
Adjustment computation of HASM: a high-accuracy and high-speed method 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2010, 卷号: 24, 期号: 11, 页码: 1725-1743
Yue, T. X.(岳天祥); Wang, S. H.
收藏  |  浏览/下载:286/75  |  提交时间:2011/06/10
Modeling of satellite borne TDI CCD pitching imaging image motion velocity vector (EI CONFERENCE) 会议论文  OAI收割
2009 IEEE International Conference on Automation and Logistics, ICAL 2009, August 5, 2009 - August 7, 2009, Shenyang, China
作者:  
Zhang L.;  Li S.;  Zhang L.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
In order to obtain three-dimensional observation effect with single satellite borne time delay and integrate charge coupled device (TDI-CCD)  pitching imaging is required. More accurate real-time image motion velocity vector computational model of space camera is also necessary to make the imaging perfect. Imaging motion velocity vector computation model must be set up on image plane at pitching imaging. According to the geometric relationship between the pitching imaging space camera and the Earth's rotation motion  satellite borne TDI CCD pitching imaging motion velocity vector model is derived by mapping the ground speed to the image plane and using coordinate transformation method. The numerical simulation results show that the image velocity model can reduce deviation angle error about 33' and about 30% image motion speed error compared to traditional ground velocity model. 2009 IEEE.