中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Structural evolutionary process and interrelation for FeSiBNbCuMo nanocrystalline alloy 期刊论文  OAI收割
JOURNAL OF ALLOYS AND COMPOUNDS, 2020, 卷号: 821
作者:  
Xiao, Huiyun;  Wang, Anding;  Li, Jiawei;  He, Aina;  Liu, Tao
  |  收藏  |  浏览/下载:114/0  |  提交时间:2020/12/16
Ab initio thermodynamic optimization of Ni-rich Ni-Co-Mn oxide cathode coatings 期刊论文  OAI收割
JOURNAL OF POWER SOURCES, 2020, 卷号: 450
作者:  
Liu, Bo;  Liu, Jian;  Yang, Jiong;  Wang, Da;  Ye, Caichao
  |  收藏  |  浏览/下载:58/0  |  提交时间:2020/12/16
Effect of Zn doping on the hydrogenolysis of glycerol over ZnNiAl catalyst 期刊论文  OAI收割
journal of molecular catalysis a-chemical, 2014, 卷号: 395, 页码: 1-6
Li, Xiaoru; Zhang, Chao; Cheng, Haiyang; He,Limin; Lin,Weiwei; Yu,Yancun; Zhao,Fengyu
收藏  |  浏览/下载:89/0  |  提交时间:2015/10/20
Nickel based catalyst is of interest in the industrial catalytic processes  and it is always modified by doping a second element to improve its catalytic properties. Understanding the role of dopant is extremely helpful in tailoring the active centers. In this work  Zn could induce a significant improvement of the catalytic performance of NiAl for the hydrogenolysis of glycerol. The Zn doped ZnNiAl catalysts exhibited high activity and the improved selectivity to 1  2-propanediol  it was about 2 times higher than the original ones. The ZnNi alloy formed in ZnNiAl was responsible for the noticeable catalytic performance. They preferred to coordinate with the end hydroxyl group of glycerol  promoted the cleavage of C-O bond in glycerol  and resulted in the dominant formation of 1  2-propanediol. The findings described here will provide a useful knowledge for rational design of nickel-based catalysts  as well as reveal a new reaction model for the hydrogenolysis of glycerol. (C) 2014 Elsevier B.V. All rights reserved.  
A line mapping based automatic registration algorithm of infrared and visible images 会议论文  OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:  
Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕)
收藏  |  浏览/下载:38/0  |  提交时间:2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.