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Effect of Interpass Temperature on Microstructure and Mechanical Properties of Weld Metal of 690 MPa HSLA Steel Yun Peng, Aihua Wang, Hongjun Xiao, Zhilin Tian State Key Laboratory of Advanced Steel Processes and Products China Iron & Steel Research Institute Group No. 76 Xueyuan Nanlu, Beijing 100081, P.
Yang.

Journal of Petroleum Science and Engineering, 2008, 61: 94-98 [7] Li Zifeng, Yang Xinjun, Wang Zhaoyun, Tian Xinmin.

Empirical Analysis on Aerobics Multimedia Teaching Based on Interactive Mode Hua zhao 1, Yang Fei 1 , Chao Li2 1 Faculty of Sports and Arts, Hebei Institute of Physical Education, Shijiazhuang, China 2 Faculty of Social Sports, Hebei Institute of Physical Education, Shijiazhuang, China Keywords: multimedia technology; aerobics; integration of inside and outside class; data envelopment analysis; discretization code.
References [1] Jianhua Tian.

A heuristic Optimized algorithm for energy optimization in Wireless Sensor Networks Yang Zhaofeng 1,Fan Aiwan2 1 Pingdingshan University the Software Engineering School, Henan, China 2 Henan, China Pingdingshan University School of Computer Science & Technology，Henan,China Fananwan@126.com Abstract: Wireless sensor networks consist of hundreds or thousands of sensor nodes that involve numerous restrictions including computation capability and battery capacity.
Tian, N.D.

References [1]CHEN Xiang-guang, PEI Xu-guang: Artificial neural network technology and application (China Power Press, CHINA 2003) [2]TIAN Jing-wen and so on:Artificial neural network algorithm research and application (Beijing Polytechnic University Press, CHINA 2006) [3]HUNG Rui-yi, YANG Shao-hua and LI Kun-lan,“Application of BP neural network on the prediction of non-operation reliability of electronic”, Electronic Product Reliability and Environmental Testing,2005,23(5)7-9

Ou-Yang, M.
[4]LI Zhouyang, TIAN Xitian, CHEN Guoding.

Tian, H.L.
Yang: Chinese J.

Research of Spatial Distribution of Cr and Ni in a Typical Black Soil on the GIS Jingjing Zhang1,2,a, Jingshuang Liu1,b*, Yang Wang1,c 1.
Tian, Xi’an, Shaanxi Normal University, Dissertation. (2006) [5] N.

Study on the Control System of Grinding the Nozzle of Twin Flapper-nozzle Valve Shuzhen Yang1, a, Rui Qian1,b and Yujie Bai2,c 1Mechanics & Electronic Engineering Faculty, Shanghai Second Polytechnic University, Shanghai, 201209,China 2Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China asuzen_yang@163.com, bqianrui@sspu.edu.cn, cbyjah@shu.edu.cn Keywords: Twin flapper-nozzle valve, Intelligent control system, AFM, Neural network, Grey precdiction fuzzy control Abstract.
Liand M.Sun, Nonlinear simulation and linearization of twin flapper-nozzle servo valve, Journal of Mechanical Engineering, vol.48(2012), p.193 [2] Z.F.Peng,C.G.Sun,R.B.Yuan,The CFD Analysis of Main Valve Flow Field and Structural Optimization for Double-nozzle Flapper Servo Valve,Procedia Engineering, vol.31(2012), p.115 [3] Y.D.Tian,Technology of Electro Hydraulic Servo Valves, Aviation Industry Press, BeiJing, 2008 [4] H.Y.

Sensitivity Analysis of Transient Load for Arch Dam Base on Finite Element Method LU Xue1,a *, SU Zhimin1,b, WANG Feng2, c, TIAN Zhifang1, d and ZHU Jianbing1,e 1Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China 2Cscec Aecom Consultants Co., Ltd., Lanzhou 730000, China alx838855962@163.com, byysdszm@163.com, cwffirst0007@163.com, dtianzhifang2010@sina.com, e553902730@qq.com *Corresponding authors.
References [1] LIU Dong-mei, YANG Hai-xia.