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Applications for multi-sensor data fusion are widespread [1, 2].
With the weighted average method, let us assume the following: (1) Here, are the weighted of the various sensors, and is the fusion result of n sensors output.
Thought transform with equation (1) and (3), as shown below: (4) With the multivariate statistical theory, the distribution densities function of consider the following equation: (5) In Equation (5), .
Fig.1 Gyro1 Zero Bias Fig.2 Gyro2 Zero Bias Fig.3 Gyro3 Zero Bias Fig.4 Gyro Fusion Zero Bias Fig.5 Optimal Weight Fusion Zero Bias In the paper, three MEMS gyroscopes were used to verify the validity of the optimal weight choice arithmetic.
References [1] Weinberg.M.S, Kourepenis.A: Journal of Micro-electromechanical Systems Vol.479-491(2006)

The estimated average crystalline sizes for the FCN alloy microfibers with various CA/M ratios are 48.6 (CA:M=2:1), 38.3 (CA:M=1.2:1), 30.7 (CA:M=1:1) and 27.8 nm (CA: M=0.8:1), respectively.
Fig. 1 XRD patterns of FCN alloy microfibers with various CA/M ratios: (a) CA:M=2:1, (b) CA:M=1.2:1, (c) CA:M=1:1, (d) CA: M=0.8:1 Morphology observation.
Fig. 2(f) shows the EDX spectrum of the obtained microfibers with the molar ratio of CA:M=1:1.
Fig. 2 SEM morphologies of precursor microfiber (a) and FCN alloy microfibers with various CA/M ratios: (b) CA:M=2:1，(c) CA:M=1.2:1，(d) CA:M=1:1, (e) CA: M=0.8:1, and EDX analysis for the FCN alloy microfibers with CA:M=1:1 (f) From Fig.3, it can be seen that the first maximum sound absorption coefficient occurs at high frequencies above 3300 Hz for the 15 mm thick sample without air gap, and it moves towards low frequencies at about 1500 Hz and 1100 Hz if the sample is backed by an air gap of 20 mm and 40 mm, respectively.
Forum Vol.475-479(2005), p.2687

,T (i) Initialize: r0(t)=x(t)，i=1； (ii) Extract the i-th IMF: a) Initialize: h0(t)=ri-1(t)，j=1; b) Extract the local minima and maxima of hj-1(t); c) Interpolate the local maxima and the local minima by a cubic spline to form upper and lower envelopes of hj-1(t); d) Calculate the mean mj-1(t) of the upper and lower envelopes; e) hj(t)= hj-1(t)-mj-1(t) f) if stopping criterion is satisfied, then set imfi(t)= hj(t), else go to b) with j= j+1.
Fig.3 The marginal spectrums of the two acoustic signals shown in Fig.1.
(1) The center frequencies and spectrum amplitudes of imf3~imf4 are basically similar, the feature differences between the acoustic signals shown in Fig.1 mainly reflected by imf1 and imf2
Fig.6 The instantaneous energy spectrums of the two signals shown in Fig.1.
Medical & Biological Engineering & Computing. 39, 471-479(2001)

Fig.1 SEM micrograph and element distribution analyzed by EDX of the weld zone of the joint manufactured under the optimized conditions (a) (b) (c) Fig.2 Sketch map to show the positions for XRD analysis 15 30 45 60 75 90 0 150 300 450 600 750 1 Ni2Si 2 SiC 12 2 2 2 2 2 1 1 1 11 1 Intensity/cps 2theta/deg. 15 30 45 60 75 90 0 40 80 120 160 1 1 2 2 2 2 1 2 1 1 1 Ni2Si 2 Cr23C6 Intensity/cps 2theta/deg.
Conclusions 1.
References [1] B.
Forum Vol. 475-479(II) (2005), p.1267
Vol.25, [1] (2004), p.21.

The factor level of orthogonal experiment was given in Table 1.
So the sample after welding should be cut across the dashed line in Fig. 1.
Table 2 The range analysis of orthogonal experiment Test number Current [A] Frequency [Hz] Pulse [ms] Tensile strength [MPa] 1 1(I1) 1(f1) 1(W1) 162 2 1(I1) 2(f2) 2(W2) 536 3 1(I1) 3(f3) 3(W3) 771 4 2(I2) 1(f1) 2(W2) 521 5 2(I2) 2(f2) 3(W3) 828 6 2(I2) 3(f3) 1(W1) 418 7 3(I3) 1(f1) 3(W3) 672 8 3(I3) 2(f2) 1(W1) 474 9 3(I3) 3(f3) 2(W2) 578 1469 1355 1054 1767 1838 1635 1724 1767 2271 490 452 351 589 613 545 575 589 757 R 99 161 406 Fig. 2 Surface morphology of Fe-Mn-Si alloy Compared with it, the cross-section morphology welding seam of 3#, 5#, 7#, and 9# has characteristics of big weld width, deep weld penetration and good formation of internal seam.
References [1] A.
Okada: Materials Science Forum, Vol. 475-479(2005), pp. 2063-2066

In the same context the dark energy is necessary to explain the expansion process of the universe [1-2].
Where, ξU = H0 = the Hubble parameter or expansion rate of the universe (H0 = ξU =70 (km/sec)/Mpc = 2.26854593 x10-18s-1), ρu = dislocation density (ρu = 1.273x1011 dislocations/m 2).
By using the Eq. (2) and Eq. (3) ξP = c/λP = 1.850570728x10 43s-1, this frequency factor represents the expansion rate of the cosmic structure at MPS.
References [1] Sean Carrol, Nature Phys.Vol. 2, (2006) 653-654
Forum Vols. 475-479 (2005) 3013-3016

The adiabatic charge transition levels between q and q + 1 charge states of a single defect can be calculated via the following expression Eq+1/q = Eqtot − Eq+1 tot + ∆V (q) − ∆V (q + 1), (1) where Eqtot and Eq+1 tot stand for the total energies of the system in the q and q + 1 charge state, respectively.
Fig. 1).
NVKP 16-1-2016-0043, and Project Contract No. 2017-1.2.1-NKP-2017-00001 within EU QuantERA project (Grant No. 127902) is acknowldged.
References [1] A.
Awschalom, Nature 479, 84 (2011)

Fig. 1 shows the shape of fiber.
Table 1 is some properties of fiber.
Matrix used was A336.0 in ASTM, which composition is Al-12%Si-1%Ni-1%Cu-1%Mg.
References [1] N.
Forum, 475-479 (2005) p707 [4] Y.

Fig. 1 shows the process and the following content describes the details.
(1) (2) (a) Color image (b) R, G, B component (c) R, G, B DM (d) DRM (e) Binary image Fig.1.
We use a counter to record the times of 1 and 0 appearing in the same pixel, if the times of 1 bigger than 0, the pixel is labeled as 1; on the contrast, labeled with 0.
References [1] K.
Woods, Digital Image Processing, third ed., Publishing House of Electronics Industry, Beijing, 2011, 479-483

Detailed grinding conditions are shown in Table 1.
Figure 1.
Table 1.
References [1] A.
Zhou: Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing Vol. 479 (2008) p. 373