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Chemical composition of the raw powder of aluminum is given in Table 1.
The raw materials of inner layer were mixed by ball milling for 1 h.
The microstructures of the composites’ inner layers are demonstrated in Fig. 1.
References [1] W.
Mitchel W, et a1., Thin solid Films, Vol. 479(2005), pp.59-63

Table 1.
References [1] Wang Jin, Gong Weihua, Shen Yongping.
Beijing: Water Conservancy and Hydropower Press,2008:1-68
Beijing: Water Conservancy and Hydropower Press,2009:1-69
Beijing: Water Conservancy and Hydropower Press,2010:1-66

Fig.1 shows the positioning and navigation principles of AUV.
According to the relations in Fig.1, the equations were established as follows: (1) Through down times processing, the equations could be simplified as: (2) Where, ,.
By underwater conditions, there were three kinds of error existing: (1) low-level error.
References [1] Bi Xiaolin.
AUV fast and accurate positioning based on LBL acoustic beacon[J].Technical Acoustics,2009,28(4):476-479

Detection results are shown in Fig.1.
The experimental results are as follows: 1.
References [1] I.
Ergonomics. 1965 8(4): 475-479 [2] I.
International Transactions on Computer Science and Engineering, 2006, 32(1): 35-43

a) 100 kg/m3 b) 145 kg/m3 c) 300 kg/m3 Fig. 1.
▫ for foam with the density of 145 kg/m3 main frequency of pores diameter represents 32.8% for 68.5-82.3 μm, 28.6% for 82.3-96.2 μm, 17.8% for 54.6-68.5 μm, respectively 14.5% for 96-110.1 μm
References [1] L.J.
Materials Science 12 (1) (2006) 1392–1320
A 479 (2008) 213–222

Introduction Noise pollution along the railway becomes an important issue with the development of high-speed train [1].
(1) Where V is the velocity of the flow.
IRT1178). 6 References [1] Ma Jun.
Railway Occupational Safety Health & Environmental Protection, 2008,35(1):5-8 [2] Wu Zhiying.
Proceedings of 18th National Symposium on Wind Engineering, 2004:479-484 [5] Luo Jianbin, Yang Zhigang.

Therefore composition design of the preparation of Al-5Ti-1B-1RE master alloy would be the quality of Ti/B more than Ti and B of TiB2 chemical measurement (2.2:1) to make the melt contain excess Ti.
The results of XRD analysis above test technology of the preparation of Al-5Ti-1B-1RE master alloys was as shown in figure 1.
Fig.1 X-ray diffraction pattern of Al-5Ti-1B-1RE master alloy Atmospheric pressure at a certain temperature melts mainly occurring the following reaction: 6KBF4 (L) +2Ti(S) +5Al (L) = TiB2(S) +TiA13(S) +2K3A1F6 (L) +4BF3 (L) (1) K3A1F6 (L) = 3KF (L) + AlF3 (L) (2) 17Al (L) + TiA13(S) +RE (L) = Ti2A120RE (L) (3) By (1), (2) type, it was known that the reaction by-products KF, AlF3 and K3A1F6 were good aluminum melt protecting agent, refining agent and flux.
References [1] Lina Yu, Xiangfa Liu, Zhengqing Wang, Journal of Materials Science.40 (2005) 3865-3867
[5] Yijie Zhang, Yongkang Li, Rare Metal Materials and Engineering. 35(2006)476-479

The similar results are shown in Figure 1 and Figure 2.
Figure 1 shows the brain electric active mapping when the HA participants performed the 2D identification experiment.
Figure 1.
References [1] J.
Molnár, Age-dependent features of EEG-reactivity—Spectral, complexity, and network characteristics, Neurosci Lett. 479 (2010), 79-84

Fig. 1.
The jet flux Q (ml/s) is calculated according to Eq.1, and the even velocity V (m/s) of jet is calculated according to Eq.2.
(1) (2) Where d is the diameter of orifice.
References [1] M.K.
Bothell: International Journal of Machine Tools & Manufacture Vol. 37 (1997), P. 465–479 [3] T.

Empirical analysis method This paper uses factor analysis to analyze the financial sustainable development level and identify the influencing factors which play a major role in the financial development under the condition of retaining most of the information of the original index,thus some recommendations can be put forward.Factor analysis model: xi=ai1f1+ ai2f2+…+ aimfm+ui(i=1,2,…,k) (1) （f1, f2…fm is Common factor which represents the common influencing factors of original indicators; ui is special factor which isn’t explained by the common factor;aij is factor loading which represents the i-th variable load on the common factor of the j th.)
TABLEII The Results Of Descriptive Statistical Analysis Mean Standard Deviation Minimum Maximum X1 28715.38 13832.56 12428 52437 X2 7211.279 5557.266 3631.69 20582.43 X3 83.4675 9.163854 69.97 95.85 X4 479 336.441 118 1126 X5 59.5675 5.564951 51.11 67.83 X6 6.18 2.858191 3.65 11.88 X7 20.18125 8.326809 11.46 33.71 X8 68.40125 55.22324 40.77 203.35 X9 19.5825 3.896833 12.9 24.1 X10 62.5175 8.84101 51.52 78.31 X11 10.875 22.38901 1 66 X12 24.18 8.703083 14.47 41.1 X13 47.2925 13.73221 31.64 72.88 X14 658081 682920.7 68613 1886698 X15 63.0775 67.59416 23.04 217.08 X16 2.775 1.233311 1.1 4.87 The overall situation and difference of Shaanxi’s financial sustainable development can be seen from Table 2.For example,the mean of X9 which is on behalf of financial competition is 19.5825%,its standard deviation is 3.896833,little difference;the mean of X15 which is on behalf of financial sense is 63.0775%,its standard deviation is 67.59416,large difference and so on.
TABLEIII The Eigenvalue And Contribution Rate Of Each Factor Principal component Eigenvalue Contribution rate （%） Cumulative Contribution rate （%） X1 7.16025 44.75 44.75 X2 4.64996 29.06 73.81 X3 1.79381 11.21 85.03 X4 0.95958 6.00 91.02 X5 0.63866 3.99 95.01 X6 0.63137 3.95 98.96 X7 0.16637 1.04 100.00 X8 0 0 100.00 X9 0 0 100.00 X10 0 0 100.00 X11 0 0 100.00 X12 0 0 100.00 X13 0 0 100.00 X14 0 0 100.00 X15 0 0 100.00 X16 0 0 100.00 Figure 1 Scree plot The cumulative contribution rate of eigenvalue of the first three factors whose characteristic values are greater than 1 has reached 85.03% from table 3.The principal component F1, F2 and F3 can be selected for analysis,because they retain the vast majority of information of the original data’s16 indexes and are not related.each other.It can be seen from the graph 1 that gravel diagram curve has no significant change after the third principal components.
TABLEVI Each Factor Score Around The City And Sorting Of Total Score City F1 F2 F3 F Ranking Yulin 0.2229 2.2218 -0.5826 0.6801 2 Yan'an -0.6566 0.5671 2.0977 0.1062 3 Tongchuan -0.9010 -0.5436 0.2063 -0.5381 7 Xi'an 2.2717 -0.5701 0.5774 0.9156 1 Xianyang -0.0563 0.0627 -1.2019 -0.1417 5 Baoji 0.1226 -0.3115 -0.4248 -0.0832 4 Hanzhong -0.3898 -0.6745 -0.2070 -0.3936 6 Ankang -0.6135 -0.7519 -0.4651 -0.5451 8 The factor’s size of each city and the overall level of regional finance sustainable development can be seen from Table6.From the total ranking,Xi'an,Yulin and Yan'an rank top three,Other cities’ranking is very low,even 3 comprehensive factor score are all low in some cities.
REFERENCES [1] Zhang Zhiyuan,The theory of the regional financial sustainable development —based on the perspective of the system, vol.3.Beijing:Science Press, 2009,pp.146-189