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So, it is increasingly important to achieve sustainability of the city buildings and the urban water systems, through limiting water supply and consumption, through reducing material use, cost, energy consumption and environmental impact, and so on[1-3].Green building has now become a flagship of sustainable development in this century that takes the responsibility for balancing long-term economic, environmental and social health[4,5].
Acknowledgements This work was financially supported by the Shaanxi Society Science Foundation (12Q023).
Butler, Environmental implications of water efficient microcomponents in residential buildings, Science of the Total Environment. 408 (2010)5828-5835 [4] H.T.
Yang, et al, BEPAS-a life cycle building environmental performance assessment model, Building and Environment. 41(5) (2006),669-675 [7] N.Vlasopoulos, F.Memon, D.Butler, Life cycle assessment of wastewater treatment technologies treating petroleum process waters,Science of The Total Environment.367(1) (2006) 58-70 [8] M.
Peng, Comprehensive Benefit Economy Model in Full Life Cycle of Water-Saving Projects for Green Building, Journal of South China University of Technology (Natural Science Edition). l38(9) (2010)113-117 [10] J.C.

Quadakkers: Materials at High Temperature 17(1) (2000), p. 87-92 [6] P.Y.
Nicholls: Materials at High Temperatures Vol. 22 (2006), p. 467-472 [10] B.A.
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Tatlock: Materials Science and Technology Vol. 22(11) (2006), p. 1316 [17] D.J.
Bennett: Materials and Corrosion (2008) in press

The mechanical properties of the three materials tested are given in table 1.
Wadley: Functionally graded materials synthesis via low vacuum directed vapor deposition.
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Materials and Design, Vol. 21, (2000), p.63 [16] Waheed Ul Haq Syed, Andrew J.
Materials & Design, Vol. 25, (2004), p. 137 [18] Smithells metals Reference Book. 7 th Edition.

Aside from reinforcement, fillers can also influence diffusion and barrier properties of composite materials.
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Rethwisch: Fundamentals of Materials Science and Engineering: An Integrated Approach (Wiley, New Jersey 2012)
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Acknowledgement National Natural Science Foundation of China(10672191), Specified Research Fund for University Doctoral Disciplines (20090211110016) and Gansu Provincial Natural Science Foundation of China (096RJZA048).
Chinese Journal of Rock Mechanics and Engineering, 2004, 23(1) : 101～106 (in Chinese) [4] Zhang Xieliang, Wang Shuchang.
Chinese Journal of Rock Mechanics and Engineering, 2003, 22 (11) : 543～545 (in Chinese) [8] Yan Zhixin, Jiang Ping, Chen Guoyuan, Wang Houyu.
Chinese Journal of Geotechnical Engineering, 2006, 28(1) : 24～28 (in Chinese) [11]Yan Zhixin, Yan Li, Jiang Ping, Wang Houyu, Duan Jian.
Journal of Central South University of Technology(Natural Science), 2005, 36(5) : 882～887 [15]Rodgers Jay.

Improvement of LEACH Based on Wireless Communication Model and Ant Colony Algorithm Wangsheng Fang1, a, Zhen Liu1,b 1Faculty of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China afangwangsheng@163.com , bsdnuliuzhen@163.com Keywords: Wireless sensor network; LEACH (Low-Energy Adaptive Clustering Hierarchy); Formula of clustering cost; Pheromone Abstract: Cluster structure is irrational and communication between cluster-head and sink node is single-hop in LEACH (Low-Energy Adaptive Clustering Hierarchy) for wireless sensor network.
Other ants can sense the consistency of this material and move to the place where the consistency is highest.
Montana: IEEE Aerospace and Electronic Systems Society. p.1125-1130(2002) [2] Huazhong Zhang, Zhijie Liu, et al:Researchment on LEACH communication protoclo.Journal of Computer.
Vol.34(13), p.174-177(2008) [7] Bo Shen, Shiyong Zhang, et al:Clustering routing protocol on wireless sensor network.Journal of Software.

Construction Site Measurement Since there are differences in material deterioration after tunover such as steel pipe and fastener, management level and technical level, the measurement were conduct in three different construction sites.
Acknowledgements The research reported in the paper was supported by the Development and Reform Commission's Technology project of Fujian Province ([2007]877) and the Foundation of Science and Technology Department of Fujian Province 2007J0142(E0710001).
China civil Engineering journal. 2009, 42(3):67-71
Journal of zhejian G University of technology. 2007, 35(1):78-81.

The quality of the component of the control system is changing in different mode in the long storage time, because of the difference of structure, material, and the environment.
Vol. 19(2005) of Journal of Changsha University, P. 19 [4] Liu Hui, Zhou Zhiying: Malfunction diagnosis of diesel engine based on dynamic fuzzy diagnosis matrix［J］, Vol. 26(2007) of Coal Technology, P. 114 [5] Peng Fei, Wang Xuezhi, Liu Jianjun: Study on fault diagnosis of equipment hydraulic system based on fuzzy theory, Vol. 2009(2009) of Machinery Design ＆ Manufacture, P. 102 [6] Li Haicheng: Simulation-based fuzzy approach to transformer fault diagnosis, Vol. 14(1007) of Journal of Liaodong University(Natural Sciences), P. 94

The increasing of real estate investments will lead to rising prices of raw material for construction and service for buyers.
Chinese soil science. 2009(23) [6] Su Yu, Wan Yuyan.
Finance treatise. 2010(2) [7] Alchian , A. and Klein , B. , On a Correct Measure of Inflation [J ] , Journal of Money , Credit and Banking .1973 , 5 (1) [8] Myer, Chaudhry, and Webb,Stationarity and Cointegration in Systems with Real Estate and FinancialAssets,The Journal of Real Estate Finance and Economics.1999, 18 (3) [9] Ludwig Alexander, Slok Torsten.

Research on Parameters Optimization Algorithm in Support Vector Machine Based on Immune Memory Clone Strategy Fang Zhu 1, a , Junfang Wei 2, b 1School of Computer and communication engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China 2School of Resource and material, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China asky050607@sina.com, bweijunfang123@sina.com Keywords: support vector machine, parameters selection, immune memory clone, multi-peak optimization, n-folded cross verification Abstract.
[6] Liu Xiangying, Jiang Huiyan, Tang Fengzhen: Parameters Optimization in SVM Based-on Ant Colony Optimization Algorithm, Nanotechnology and Computer Engineering, 2010, p. 470 [7] Zhu Ning, Feng Zhigang, Wang Qi: Parameter Optimization of Support Vector Machine for Classification Using Niche Genetic Algorithm, Journal of Nanjing University of Science and Technology (Natural Seience), 2009, p. 16 [8] Ren Yuan, Bai Guangchen: Determination of Optimal SVM Parameters by Using GA/PSO, Journal of Computers, 2010, p. 1160 [9] Yuan Xiaoyan, Liu Ailun: The Research of SVM Parameter Selection Based on PSO Algorithm, Techniques of Automation and Application, 2007, p. 5