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Principal component analysis(PCA) is a well-known feature extraction method which is widely used in areas of feature pattern recognition, computer vision and the signal processing[2,6].It reduce data dimensionality by performing a covariance analysis among factors.
Facial Image Acquisition The experimental data is collected from Wangwushan fieldwork bases.
Principal component analysis (PCA) is a generally utilized dimensionality reduction technique employing correlated variables into smaller number of uncorrelated principal components [1,5].

X-ray diffraction (XRD) data were carried out at the room temperature using a Philips PW1830 diffractometer with Cu Kα radiation in the 2θ range from 30° to 60°.
The refinement of the XRD data shows that all the compounds crystallize in the Fe2P-type hexagonal structure (space group) with small amount of impurity phase with space group of Fm3m, the lattice parameter a increases (from 6.0461 to 6.1077) and the lattice parameter c decreases (from 3.4326 to 3.3360) with increasing B contents (from x = 0.01 to 0.04).Analysis of XRD patterns reveals that the compounds contain a small amount of impurity phase which has been identified to be cubic (Mn,Fe)3Si phase, we found that the peak intensity of second phase becomes less with increasing B contents.
Shull, Erratum: Reduction of hysteresis losses in the magnetic refrigerant Gd5Ge2Si3 by the addition of iron, Letters to Nature, 429 (2004) 853 [7] H.

In particular, the data reported in Table 1 have been here assumed for deriving the analyzed solutions.
Data accounted for the theoretical model and the FE analyses.
In particular, from the figure it is evident that the load P grows almost linearly with the slip, and the subsequent formation of cracks leads to both drops of the load P and, as shown in Figure 6.b, also to a progressive reduction of the shear stiffness of the strengthening system.

Transition metal ion complexes, especially in the form of stearates, are used as pro-oxidant additives which induce abiotic (photo or thermal) oxidation leading to reduction of molecular mass [2].
Using the data on the maximum weight uptake and loss, mean effects and analysis of variance (ANOVA) were employed to determine if thickness and colorant additive significantly affect the sorption kinetics of PE films immersed in different aqueous solutions.
Conclusion Our data indicated that white colorant additive significantly affects the sorption kinetics of pro-oxidant-loaded PE plastic bags during exposure to different aqueous media at 60 °C.

In this section, the effect of denatured bath of the protein fibers on the colorimetric data of the reactive dyes was evaluated and the results were shown in table 5.
Table 5 Colorimetric data of the dyed soybean fiber with different process C.I. reactive Fabric L* a* b* C* h Red 238 Alkaline bath 39.84 54.50 -0.80 54.50 359.16 Denaturated bath 37.63 56.80 2.87 56.87 2.89 Yellow 206 Alkaline bath 68.59 26.70 66.35 71.52 68.08 Denaturated bath 66.68 28.53 67.90 73.65 67.21 Blue 235 Alkaline bath 36.68 -8.05 -18.72 20.38 246.73 Denaturated bath 27.94 -5.67 -17.26 18.17 251.83 Bursting strength of dyed soybean knitted fabrics.
As the date shown, after the denatured bath, the bursting strength of three dyes were both reduced compare to the fabric’s bursting strength before dye, but the reduction was in 5%, so denatured bath has no great effect on wearability of soybean fabrics.

Introduction Porous metal material due to its advantages of light weight, high stiffness, and high heat-resistant temperature, is widely used as a shock energy absorption, noise reduction, electromagnetic shielding, heat insulation, or corrosion resistant material in engineering.
Schematic diagram of the structure of test system The diameter of impedance tube in Fig.3 is 29mm, in this work, the temperature distribution over cross-section of the acoustic impedance tube is nearly uniform according to measured data.
Experimental Data Analysis 4.1 The Effect of Temperature on the Sound Absorption Properties of Porous Metal Materials Backed by Rigid Wall In order to explore the effect of temperature on the sound absorption performance of porous metal materials, the specimen is placed close to the end cap of impedance tube, i.e., backed by rigid wall.

Water distribution test model During the test, a digital image acquisition system is designed to record the test data.
Ibrahim Sezan, “A peak detection Algorithm and its application to histogram-based image data reduction,” Computer Vision, Graphics, and Image Processing.

Due to the accidental, sudden and unpredictable of a fire in its nature, determining the extent of the fire and the areas that underwent severe burning, a thorough fire scene investigation and determination was made based on the field data, and the fire temperature was determined as particularly great importance.
According to the meteorological data, the atmospheric temperature was about 20 oC when the fire broke out, and according to the researchers, the fire lasted about 2 hours and 24 minutes (144 minutes).
The appendix J of CECS252:2009 has provided steel yield strength reduction factor after high temperature.

Introduction Aluminium alloys contribute to a reduction of the vehicle mass in current automotive sheet applications in body-in-white (BIW) as well as hang-on parts.
While no comparable data were found for Series 1, the results for Series 2 can be drawn into comparison by data from TALAT [5].

Based on the Stratified summation method in one-dimensional deformation assumption and code for design of building foundation law in Engineering[2], but the one-dimensional compression is only a special case.Soil geometric and force are mostly three dimensional, although the <>is base on area of settlement observation data and experience to give the experience coefficient of different, but too general, not get to the required precision.
into Eq. 1, we can get Eq. 3: (3) According to the suppose, such as soil is elastic body, in accordance with the principle of elasticity, unit volume change quantity is caused by the value added of the sum of normal stress is shown as Eq. 4 and Eq. 5: (4) (5) In the formula, , was not loaded and loaded after the void ratio Put Eq. 5 into Eq. 4, we can get Eq. 6： (6) Put Eq. 6 in to Eq. 3, we can get Eq. 7： (7) Eq. 7 is the basic calculation formula for settlement calculation of space foundation soil compression and compression index Characteristics of volume reduction
In the lack of experimental data, we can use the two types to estimates.