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Materials and methods Monitoring Section: In this study, the monitoring section is Taipingxi, which is located at the main Yangtze River channel, about 4km away from the dam, see Figure 1.
Acknowledgements This work is financially supported by the National Natural Science Foundation of China (Grant No. 51279047).
Okman: Journal of Hydrology Vol. 317 (2006), p. 17 [5] Caliskan，S.
XIA,et al: Journal of Hohai University(Natural Sciences) Vol. 35 (2004), p. 92 [8] J.
Chen: Journal of Hydraulic Engineering Vol. 37 (2006), p. 1447

Sharing and Interaction of ECG Information Based on HL7 Standard Ying Sun1, a, Qi Wang 1,b and Shenghua Ye 2,c 1 Medical Instrument and Food Engineering College, University of Shanghai for Science and Technology, Shanghai, China 2 Division of Engineering Science, University of Toronto, Toronto, Canada ayysyysun@163.com, b1060012590@qq.com, cysh_william@hotmail.com Keywords: HL7 standard.
International Journal of Smart Home, October 2012.
International Journal of Medical Informatics.
Advanced Materials Research, 2013, Manufacturing Process and Equipment.
Journal of Convergence Information Technology.

This is conducive not only to get more power control system of science, but also more to ensure the safe use of external prestressing curved girder.
Before doing dynamic test, mechanical properties of test material must be determined, such as concrete strength, ultimate strength, tensile strength of strand, and yield strength of non-prestressing reinforcement.
References [1] ZhaoYi Chen, Yanjun Wang, Application Analysis of External Prestressing Techniques Applied in a Curved Beam’s Bridge Reinforcement, Journal of Railway Standard Design, 2009(12), 58-61
[2] Hong Niu, Design and Practice Reinforcement with External Prestressing in Highway and Bridge,Journal of Prestressing Technology, 87(4), 18-22, 2011
Journal of Chongqing Jiaotong University(Natural Science), 30(S2), 1192-1196, 2011.

Fig.5 Section pattern of a gear Fig.6 The gear with a module of 0.2mm Acknowledgments The authors wish to thank the support from Natural Science Foundation of China (50745017, 50875194) and Nature Science Research Program of Shaanxi province education department (08JK305).
Christian: Rapid Prototyping Journal, Vol. 6 (2002) No.4, pp.259-265
Tang: Rapid Prototyping Journal, Vol. 12 (2006) No.1, pp.12-17
Huang: Journal of Materials Processing Technology, Vol. 107 (2002) No.6, pp.167-172

Acknowledgements This work was supported by the Program for New Century Excellent Talents in University of Ministry of Education (No.NCET-08-0211) and China Postdoctoral Science Foundation (No.20080440754).
Duan: A new algorithm for evaluating form error: The valid characteristic point method with the rapidly contracted constraint zone, Journal of Materials Processing Technology, Vol. 139 (2003) No.1, pp.247-252 [6] P.
Santosa: Support vector regression for determining the minimum zone sphericity, The International Journal of Advanced Manufacturing Technology, Vol. (2008) No.9, pp.916-923
Tseng: A genetic algorithm for assessing flatness in automated manufacturing systems, Journal of Intelligent Manufacturing, Vol. 17 (2006) No.3, pp.301-306
Zhang: Genetic algorithm based form error evaluation, Measurement Science and Technology, Vol. 18 (2007) No.7, pp.1818-1822

The factors that influence the selection proposal of QCC mainly include product performance, reliability, safety, purchased parts and raw materials.
Acknowledgements This work sponsored by The National Natural Science Foundation of China（71101090）, supported by Shanghai Education Committee Projects (J50604 ), supported by Shanghai Municiple Education Commission Project (12ZZ148 ) , supported by Ministry of Communications Research Project（2009-329-810-020），supported by Science & Technology of Shanghai Maritime University (20120065).
Journal of Shanghai Maritime University, 2009,1(30):63-68
Journal of Shanghai Maritime University, 2010, 2(31):55-60
Journal of Shanghai Maritime University, 2008, 1(29):12-18

Materials and Methods Description of sampling sites.
Bhattacharya, Lichen as a Bio-Indicator Tool for Assessment of Climate and Air Pollution Vulnerability, International Research Journal of Environmental Sciences. 12 (2015) 107-117
Maitreyee, Epiphytic Lichens: Their Usefulness as Bio-indicators of Air Pollution, Donnish Journal of Research in Environmental Studies. 3 (2016) 17- 24
Ilyin, Elementary chemical composition of plants, Science, Novosibirsk, 1985, pp. 24-26
Shaw, Measuring nitrogen and sulphur deposition in the Georgia Basin, British Columbia, using lichens and moss, Journal of Limnology. 69(1) (2010) 22-32

Acknowledgements This article was supported by National Natural Science Foundation of China(No. 51104056).
Journal of China University of Mining & Technology, Vol. 31(2002), p.262-266(in Chinese) [2] Qin S.
Journal of Liaoning Technical University, Vol. 24(2005), p.23-25(in Chinese) [3] Wang H.
Journal of Hydroelectric Engineering, Vol. 31(2012), p. 62-66(in Chinese) [5] Yu C.
Advanced Materials Research, Vol. 457(2012), p.1052-1055 [6] Jin M, Zhou X, Zhang Z.

Jian-wei, Carbonyls emission comparison of a turbocharged diesel engine fuelled with diesel, biodiesel, and biodieselediesel blend, Jordan Journal of Mechanical and Industrial Engineering 3 (2) (2009) 111e118
Abdel-Rahman, On the emissions from internal-combustion engines: a review, International Journal of Energy Research 22 (1998) 483e513
Sezer, Thermodynamic, performance and emission investigation of a diesel engine running on dimethyl ether and diethyl ether, International Journal of Thermal Sciences 50 (2011) 1594e1603 [5] S.
Phd Tesis Department of Mechanical, Materials and Manufacturing Engineering, The University of Nottingham [7] F.
[16] Rosner, D.E., Mackowski, D.W., Garcia-Ybarra, P., 1991, ”Size - and Structure - Insensitivity of the Thermophoretic Transport of Aggregated Soot Particles in Gases", Combustion Science and Technology, Vol. 80, pp. 87-101.

Combined Improved EEMD With SVM in the bearing low dimensional small sample fault diagnosis Meijun Zhang 1, a,Kai Chai1, b, Jie Huang 1,c, Hao Chen1, d 1College of Field Engineering,PLA University of Science and Technology, Nanjing, China adingdf0365@sina.com，b450984980@qq.com，c805382270@qq.com，d525686022@qq.com Keywords: EEMD，SVM，classification and identification, low dimensional small sample，Intelligent diagnosis Abstract.
Acknowledgments This work was financially supported by Natural Science Foundation of China (51175511).
Journal of Vibration,Measurement & Diagnosis In Chinese.Vol. 31(2011) , p591-595 [2] Jiangcang Ma, Jing Chen and Xiaolong Liu.Computer Measurement & Control In Chinese.Vol. 17(2009),p2115-2117 [3] N.E Huang,Z Shen and S.R Long.Proceeding of the Royal Society,London,Vol. 454(1998), p903-995 [4] Zhaohua Wu and Norden E.
Journal of Advanced Materials Research.Vol. 479-481(2012) , p1180-1185 [6] Zhang Meijun ,Chen Hao , Cao Qin and Chuang Wang .
Journal of Vibration,Measurement & Diagnosis in Chinese.Vol.33(2013),p93-98