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	Study on the packing characteristics of a special "J" shape ceramic packed pebble bed based on discrete element modeling 期刊论文 OAI收割 POWDER TECHNOLOGY, 2021, 卷号: 379 作者: Wang, J.; Lei, M. Z.; Yang, H.; Xu, S. L.; Xu, Kun \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/03/15 Packing characteristic Discrete element method Packed pebble bed Special shape Packing factor Ceramic pebble
	Study on the packing characteristics of a special "J" shape ceramic packed pebble bed based on discrete element modeling 期刊论文 OAI收割 POWDER TECHNOLOGY, 2021, 卷号: 379 作者: Wang, J.; Lei, M. Z.; Yang, H.; Xu, S. L.; Xu, Kun \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/03/15 Packing characteristic Discrete element method Packed pebble bed Special shape Packing factor Ceramic pebble
	Thermal-optical analysis for optical window under high Mach flight condition (EI CONFERENCE) 会议论文 OAI收割 2012 International Conference on Optoelectronics and Microelectronics, ICOM 2012, August 23, 2012 - August 25, 2012, Changchun, China Zhong C.; Ding Y.; Fu J. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 When the airborne platform where installed the optical window is in high Mach flight condition. The aerodynamic heating effect which will influence optical properties of optical window becomes very obvious. This special flight condition will change shape refractive index and also refractive index distribution of optical window due to the generated high axial temperature gradient. To ensure image quality of aerial remote sensor the present paper does thermal-optical analysis for optical window under high Mach flight condition. Then on this basis do simulations according to theoretical analysis and boundary conditions derived from practical assumptions in order to get the final conclusions. 2012 IEEE.
	Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文 OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper we combine intensity orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter partial occlusions illumination change and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels it only needs 12ms to complete the method. 2007 IEEE.