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Online since: September 2013
Authors: Zhe Yue Wang, Lei Xie, Zhong Zhen Yan, Xin Ping Yan
., Yang, S.
X., Yang, X.Y: Fast-moving target tracking based on mean shift and frame-difference methods.
Systems Engineering and Electronics. 22(4), 587-592 (2011) [2] Liu, J.Q, Gao, J.M., Shen, Q.M, Tian, J.W: A background separation method of nonuniform image segmentation.
IEEE Transactions on Image Processing. 20(5), 1401-1414 (2011) [9] Yang, G.B, Zhang Z.Y: Modified intelligent scissors and video decomposing for video object segmentation.
X., Yang, X.Y: Fast-moving target tracking based on mean shift and frame-difference methods.
Systems Engineering and Electronics. 22(4), 587-592 (2011) [2] Liu, J.Q, Gao, J.M., Shen, Q.M, Tian, J.W: A background separation method of nonuniform image segmentation.
IEEE Transactions on Image Processing. 20(5), 1401-1414 (2011) [9] Yang, G.B, Zhang Z.Y: Modified intelligent scissors and video decomposing for video object segmentation.
Online since: June 2013
Authors: Hui Guo, Peng Fei Deng, Yu Ming Zhang, Tian Min Lei
Epitaxial graphene growth on 6H-SiC (0001) substrate by confinement controlled sublimation of silicon carbide
Lei Tian-min1,a*, Deng Peng-fei1,b, Zhang Yu-ming2,c, Guo-Hui2,d
1 School of Technical Physics, Xidian University, Xi’an 710071, China
2 School of Microelectronics, Xidian University, Xi’an 710071, China
atmlei@mail.xidian.edu.cn, bdpf_608@163.com, czhangym@mail.xidian.edu.cn, dguohui@mail.xidian.edu.cn
Keywords: Graphene, 6H-SiC substrate, Raman spectroscopy, Morphology.
[7] Tedesc J L, Jernigan G G, Culbertson J C, Hite J K, Yang Y, Daniels K M, Myers-Ward R L, Eddy C R, Robinson J A, Trumbull K A, Wether-ington M T, Campbell P M and Gaskill D K.
[7] Tedesc J L, Jernigan G G, Culbertson J C, Hite J K, Yang Y, Daniels K M, Myers-Ward R L, Eddy C R, Robinson J A, Trumbull K A, Wether-ington M T, Campbell P M and Gaskill D K.
Online since: August 2013
Authors: De Quan Wang, Jin Hua Ding, Teng Gao, Tian Ji, Chuang Liu
The Research and Development of Digital Factory Integrated Information System for Discrete Manufacturing Enterprise
De-quan Wang 1,a, Chuang Liu 2,b , Jin-hua Ding 3,c, Teng Gao 4,d, Tian Ji 5,e
1Wang Dequan(1964-)male, Dalian, in China's Liaoning Province, Dalian Polytechnic University
professor, master, main research enterprise information technology.
2Liu Chuang (1988-) male, Tieling, in China's Liaoning Province ,graduate, corresponding author .
3~5Department of Mechanical Engineering and Automation, Dalian Polytechnic University,
Qinggongyuan No.1, ganjingzi Distract, Dalian city, China
E-mail: awangdq@dlpu.edu.cn,b743217280@qq.com, c342012450@qq.com
Keywords: Digital Factory.
[5] Yang X.Y., and D.Q Wang, Management System Development for Engine-Assembling Line Based on MES, Computer Applications and Software Vol. 26 (2009), p. 203-204
[5] Yang X.Y., and D.Q Wang, Management System Development for Engine-Assembling Line Based on MES, Computer Applications and Software Vol. 26 (2009), p. 203-204
Online since: January 2013
Authors: Li Sheng Zhang, Guo Liang Ma, Li Chao Fu, Jing Yi Tian
Recent Progress in High-entropy Alloys
Zhang Li-sheng1, a, Ma Guo-liang1, b, Fu Li-chao1, c, Tian Jing-yi1, d
1 Qinggong College, Hebei United University, Tangshan, 063000, China
azhanglisheng75@126.com, bmgl102636@163.com, clichaotang_520@163.com,
dtianjingyi7319@163.com
Keywords: multi-principal-element alloy, High-entropy Alloys(HEAs), high-entropy effect, properties, preparation
Abstract.
Yang[10] and Zhang Y[11,12] predicted Ω and δ is the two important parameters of phase formation, where Ω is quotient between the product of mixing enthalpy and melting temperature and entropy of mixing, δ is average variance of elements atomic radius.
Yang consider the parameter Ω≥1.1, δ≤6.6% when forming a stable solid solution, so Ω≥1.1, δ≤6.6% can be used as high entropy alloy solid solution forming criterion.
[8] YANG Juan-yu, ZHOU Yun-jun, ZHANG Yong, et al., Solid Solution Formation Criteria in the Multi- component Alloys with High Entropy of Mixing, Chinese Materials Science Technology & Equipment. 5 (2007)61-63
[10] X.Yang, Y.Zhang, Prediction of high-entropy stabilized solid-solution in multicomponent alloys, Materials Chemistry and Physics. 132(2012)233-238
Yang[10] and Zhang Y[11,12] predicted Ω and δ is the two important parameters of phase formation, where Ω is quotient between the product of mixing enthalpy and melting temperature and entropy of mixing, δ is average variance of elements atomic radius.
Yang consider the parameter Ω≥1.1, δ≤6.6% when forming a stable solid solution, so Ω≥1.1, δ≤6.6% can be used as high entropy alloy solid solution forming criterion.
[8] YANG Juan-yu, ZHOU Yun-jun, ZHANG Yong, et al., Solid Solution Formation Criteria in the Multi- component Alloys with High Entropy of Mixing, Chinese Materials Science Technology & Equipment. 5 (2007)61-63
[10] X.Yang, Y.Zhang, Prediction of high-entropy stabilized solid-solution in multicomponent alloys, Materials Chemistry and Physics. 132(2012)233-238
Online since: August 2012
Authors: Zhe Tian, Neng Zhu, Nan Li, Yu Ping Sun, Jia Liu
Thermal discomfort evaluation in Hot Environment
Yuping Sun, Neng Zhu, Zhe Tian, Nan li, Jia Liu
School of Environmental Science and Engineering, Tianjin, University, Tianjin, China
yupingsun@tju.edu.cn, nzhu@tju.edu.cn, tianzhe@tju.edu.cn, feizhui@126.com,
liujiaandsendy_104@sina.com.
Yang, Cognitive effect of EDA in lie detection, Chinese Journal of Clinical Psychology. 14(2006), 286-288
Yang, Cognitive effect of EDA in lie detection, Chinese Journal of Clinical Psychology. 14(2006), 286-288