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Yang and C.X.
Yang: Computer Engineering and Applications, Vol. 46 (2010) No.10, P.235.
Tian: Compute Engineering and Design, Vol. 31 (2010) No.23, P.5004.

[16] Tian K, Li X, Lu F, et al.
[23] Lin J, Yang D, Fang N, et al.
[24] Li M, Yao W, Yang J, et al.
[28] Yang R, Zhang F, Yang M, et al.
[33] Yang F, Zhang K, Yang J, et al.

Research about Secure Communication Based on Fourth-Order Hyper-chaotic System Nie Chun yan1, a, Tian Hua2,b, Sun Hai xin1,c 1Electronic Information Institute Changchun University, China 2School of Mathematics, Jilin University, China ae-mail: ncy66@163.com, be-mail: thua@jlu.edu.cn, ce-mail: haixin_s@hotmail.com Keywords: Coupled Synchronization; Chaotic Coding; Secure Communication Abstract.
[2] Liu Yang, Peng Liangyu.

An Improved Device of Detecting True and False Coin Chunhe Yu, Xiaofeng, Tian, Danping, Zhang Department of Electronic and information Engineering, Shenyang Aerospace University Shenyang, 110136 P.
Yang, and Y.

An Improved Damage Detection Method and Its Application MA Li-yuan, WANG Tian-hui ，LI Yong-jun, XIE Shi-fu Mechanical Engineering College, Shijiazhuang 050003, China E-Mail: dundianjiu@sina.com Key words：damage identification; substructure; flexibility matrix; modal flexibility curvature difference; gray relation Abstract: A new method called Grey Relation Modal Flexibility Curvature Difference (GRMFCD)is proposed and applied to the numerical experiment and experimental research of a substructure.
[5] XIAO Tiao-sheng ,YANG Yon.
[7] Yang Ya-xun.Bridge Structure Damage Identification Research Based on the Dynamic Testing and the Research of Bridge Comprehensive Evaluatiuon Theory[D].Xi’an：Chang’an University，2008

[2] Tian, W.; Lu, H.; Li, L., Nanoscale ultraviolet photodetectors based on one dimensional metal oxide nanostructures.
[7] M Shahid, Wang Y, Yang J, Li T, Xing Y, Cheng J, Zhang M, Wan C and Pan W, Indium-doped SnO2 Nanobelts for High-performance Transparent and Flexible Photosensors by a Facile Assembly.Nanotechnology, 28 (2017), 335705
[8] M Shahid ,Wang Y, Yang J, Li T, Cheng J, Zhang M, , Xing Y, Wan C and Pan W, Synergetic Enhancement in Photosensitivity and Flexibility of Photodetectors Based on Hybrid Nanobelt Network.

Structure and Properties of Soybean Milk Modified Polyacrylonitrile Fiber Zhao Jia1,a, YanGong Yang 2,b 1 Lutai College of Textile and Apparel,Shandong University of Technology,People’s Republic of China 2 College of Materials Science and Engineering, Shandong University of Technology, People’s Republic of China ajz@sdut.edu.cn, byygxxa@sdut.edu.cn Keywords: fiber, soybean milk, modify Abstract.
Sci., Vol.69(1998), p. 1089-1097 [5] Z.Jia, S.Y.Du and G.S.Tian: J.
Yang, X.Y.

Research of quality evaluation of PV power generation project based on the extension theory Dong Wang1, a, Maosheng Yang2,b 1College of management, Xi”an University of Architecture and Technology, Xi”an 710000, China 2College of management, Xi”an University of Architecture and Technology, Xi”an 710000, China a452655523@qq.com, b yang_maosheng@126.com Keywords: photovoltaic (pv) power generation projects; Extension theory; The matter-element model; Quality evaluation Abstract.
References [1] Yang Chunyan,Cai wen,Extension engineering, Science press:Beijing,pp.9-10,2007
[2] Tian Junli,Photovoltaic (pv) power generation under low carbon economy comprehensive benefit evaluation study, Northwest electric power university:Beijing,pp.18-20,2013

Study on The Precise Detection Method of Pavement Structural Depth Wang Jian-feng1, a, Yang fan1, b 1Department of electrical engineering xi jing University, Xi’an,China 2Department of electrical engineering xi jing University, Xi’an,China awjwxjxy@163.com, b969764104@qq.com Keywords: Laser displacement sensor; structural depth; traffic engineering.
Pavement structural depth of laser detection system developed by this method is used to do a detection in some section of motorway such as: An yang – He bi, Wu Wei – Gu Lang, San men xia - a Buddism godness Guan yin hall.
[4] Huang Bao Tao, Tian Wei Ping, Li Jia Chun, et al.

Prediction of long-term strength of concrete based on artificial neural network YANG XIAOMING a, SHI DAN b College of Civil Engineering and Architecture, Liaoning Technical University, Fuxin City Liaoning, China, 123000 axiao_m_y@163.com, bsdbying1331@126.com Keywords: concrete, long-term strength, artificial neural network, prediction Abstract.
Bulletin of National Science Foundation of China, 19(1): 8-12. (2005) [2] Pan Hong-ke, Bian Ya-dong, Yang Lin-hong.
Journal of Zhejiang University Science A 9(11): 1514-1523. (2008) [6] Nie Fa-yuan, Wang Tian-zhu, Li Li-xia.