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	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：79/0 \| 提交时间：2013/02/05 Phase-field model Directional solidification Alloys Real time synchrotron observation Natural convection free dendritic growth binary alloy in-situ aluminum-alloy microstructures simulation interface computation prediction
	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：59/0 \| 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).
	Parallel estimation of translation for video stabilization (EI CONFERENCE) 会议论文 OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者: Wang H.; Liu G.; Wang H.; Wang H.; Wang H. 收藏 \| 浏览/下载：99/0 \| 提交时间：2013/03/25 Translation motion estimation is the major aspect of video motion compensation especially in two-dimensional turntable. This paper presents a robust parallel estimation algorithm of translation in video stabilization system. The equivalent model of translation that derived is accorded with small rotation angle comparatively. A parallel algorithm based on grey mapping is used in local motion estimation to shorten the estimation time and improve the computation efficiency. After local motion vectors are calculated a fast filter can detect the spurious vectors avoiding possible jerks. The suggested translation estimation algorithm has been implemented on NVIDIA GTX 260 the experimental results show that the average time of the estimation and compensation finished in 16 ms/frame and stabilize 1k1k pixels sequence gray video up to 60 frames/s. 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：25/0 \| 提交时间：2011/05/23 限界模型检测可满足性模块理论实时系统时间自动机时间Kripke结构带时间参数的计算树逻辑bounded model checking satisfiability modulo theories real-time system timed automata timed Kripke structure TCTL (timed computation tree logic)
	A novel time computation model based on algorithm complexity for data intensive scientific workflow design and scheduling 期刊论文 iSwitch采集 Concurrency and computation-practice & experience, 2009, 卷号: 21, 期号: 16, 页码: 2070-2083 作者: He, Jing; Zhang, Yanchun; Huang, Guangyan; Pang, Chaoyi 收藏 \| 浏览/下载：27/0 \| 提交时间：2019/05/10 Scientific workflow Computation time model Dataflow Control-flow Algorithm complexity
	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：14/0 \| 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.