中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Critical assessment of three kinds of activity coefficients of carbon and related mixing thermodynamic functions of Fe-C binary melts based on atom-molecule coexistence theory 期刊论文  OAI收割
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL, 2018, 卷号: 25, 期号: 2, 页码: 181-199
作者:  
Yang, Xue-min;  Li, Jin-yan;  Yan, Fang-jia;  Duan, Dong-ping;  Zhang, Jian
  |  收藏  |  浏览/下载:26/0  |  提交时间:2018/06/11
Assessment of the CSL and SU models for bcc-Fe grain boundaries from first principles 期刊论文  OAI收割
COMPUTATIONAL MATERIALS SCIENCE, 2016, 卷号: 122, 页码: 22-29
Xu, Jian; Jiang, Yong; Yang, Litong; Li, Jiangxu
收藏  |  浏览/下载:28/0  |  提交时间:2016/08/22
A thermodynamic model of calculating mass action concentrations for structural units or ion couples in NaClO4-H2O and NaF-H2O binary solutions and NaClO4-NaF-H2O ternary solution 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS, 2010, 卷号: 17, 期号: 5, 页码: 546-557
作者:  
Yang, Xue-min;  Zhao, Wei-jie;  Guo, Han-jie;  Zhang, Qiang;  Zhang, Jian
收藏  |  浏览/下载:26/0  |  提交时间:2013/11/12
Calculating models of mass action concentrations for structural units or ion couples in RbCl-H2O binary system and RbCl-RbNO3-H2O ternary system 期刊论文  OAI收割
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2010, 卷号: 20, 期号: 6, 页码: 1112-1120
作者:  
Guo Han-jie;  Yang Xue-min;  Zhao Wei-jie
收藏  |  浏览/下载:21/0  |  提交时间:2013/11/18
Space optics remote sensor focusing components mechanics characteristic analysis based on FEM (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Material and Device Technology for Sensors, June 17, 2009 - June 19, 2009, Beijing, China
作者:  
Wang B.;  Ren J.-Y.;  Wang B.
收藏  |  浏览/下载:148/0  |  提交时间:2013/03/25
Space optical remote sensor is very important in many fields of science and military significance. It is widely applied. Space optical remote sensor design and manufacturing require precision and stability. Focusing mechanics is an important component of remote sensors. Focusing mechanics can guarantee the stability of the entire mechanics focusing accuracy  therefore the stability of research focusing mechanics is very important. In order to guarantee the space optics remote sensor focusing mechanics the stability  takes steps the space optics remote sensor focusing organization mechanics characteristic analysis from the classics contact theory. This article uses international general non-linear finite element analysis software ABAQUS to carry on mechanics characteristic analysis to the space optics remote sensor focusing mechanics. First acts according to the focusing mechanics unique feature  carries on the finite element to the structural model the grid division  the material attribute disposition and the boundary condition indeed grades. Then establishment contact non-linear finite element model  and to focusing organization finite element model infliction unit action. Like this contacts the result and the equivalent static analysis result which the nonlinear analysis obtains carries on the contrast and the analysis. This article last count result modality is 90HZ  satisfies the space optics remote sensor structure overall modality to request to be bigger than 50HZ.This article when carries on the dynamic analysis  extracts the structure kinetic energy and the acceleration curve. In the dynamic analysis obtained transient response analysis modality 70.5Hz  this also is bigger than 50HZ. The dynamic analysis indicated the structure dynamic stability has the distinct enhancement  has provided certain foundation for the space optics remote sensor following development work  reduced the overall system development cycle. 2009 SPIE.  
Adaptive Image Segmentation based on Fast Thresholding and Image Merging (EI CONFERENCE) 会议论文  OAI收割
16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006, November 29, 2006 - December 1, 2006, Hangzhou, China
作者:  
Zhang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:13/0  |  提交时间:2013/03/25
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation  it can be applied in many conditions  based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However  including complex target segmented. We describe the algorithm in detail and perform simulation experiments. The computation based on pixels can fully parallel processing to save time. 2006 IEEE.  not all the peaks of the histogram correspond to obvious structural unit in the image. Spatial information must be involved. This paper also suggests subjoining segments matching for video image tracking. They will give great help to image segmentation. The proposed algorithm can meet the real-time requirement and lead to higher segmentation accuracy  some types of texture can also be segmented well