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The main purpose of PCA method is to project high-dimensional data into a low-dimensional space, and it can also reduce the dimension and eliminate the correlation of data.
Fisherface method combines PCA method and LDA method for dimensionality reduction, making the within-class scatter matrix nonsingular, but some useful discriminatory facial image information may be lost[6].
So the the optimal projection matrix can be expressed as[9]: (8) where (9) (10) The projection transformation is used twice by this method to process the original image data.
Firstly, the projection transformation is used by PCA method to project high-dimensional data into a low-dimensional space.
But the recognition rate of Fisherface method is nearly 100%, to a certain extent, the less training data and single database may make a recognition result that is not very inaccurate. 7.

To the case of bottom close-in, using basic data above, and let inner tubing pressure and annular pressure be zero at wellhead.
Corresponding to the case of downhole close-in, using the basic data above, and let the inner tubing fluid be natural gas, the effect of annular pressure and annular fluid density on helical buckling length is shown in Fig.3.
The following data comes from testing design of Well PY5-8-1.
a) String structure Above mud line：5"(Φ127mm) drill pipe, length 120m; From mud line wellhead to slip joint：5"(Φ127mm) tubing, length 4050m; From slip joint to packer: 4-3/4"(Φ120.65mm) drill collar + function valve+ data record apparatus and so on, length 170m; Below packer：2-7/8"(Φ73mm) tubing + perforation equipment and so on, length 60m.
Pressure, density and temperature of formation fluid are the basic data of string safety design, while annular liquid density, cushion density and tool operation pressures can be selected.

The appropriate parameters measured by using power-law equation to fit the experimental data, which were used to analyzes the effect of organogelators ratio, storage temperature and time on the oleoge.
Data were average of two runs Table 1 The consistency coefficient and the power law index of the apparent viscosity of different organogelators ratio Organogelators ratio[S:L] Consistency index K [Pa﹒s] Power law index [n] Correlation coefficient 0:10 12.18 0.31 0.9917 7:3 370.78 0.07 0.9991 10:0 188.87 0.04 0.9980 The changes of viscosity related to the transformation of its microstructure.
Obviously, more stable and firm contract between crystals could increase the viscosity of oleogels, which is in accordance with our data.
Effect of storage temperature According to the datas presented in table 2, The n value decreased as temperature increased, suggested the pseudoplastic of oleogels increased with temperature.
Data were average of two runs.

The change-over from face-centred cubic austenite to hexagonal εmartensite is combined with a volume reduction of about 0.81% for FeCrNi 1612 [10].
The stress influence on the formation of α'-martensite is inverse because the transformation to ε-martensite is associated with a small volume reduction of approximately 0.81% which complicates the differentiation between ε- and α'-martensite [4,12].
Ludwikson describes the formation of martensite by equation (Eq. 1), with f α' volume share of martensite, ϕ true strain and the parameters A and B [15]. 1 ' 1 −−       += A f B ϕα . (1) Parameters A and B are determined by measured data in tensile and torsion tests without considering temperature.
The calibration of parameters results from measured data generated in isothermal tensile tests.
In the context of the research project "Beurteilung des Einsatzes von teilstrukturierten Stahlfeinblechen im Kfz-Karosseriebau zur Gewichtsreduzierung" (Evaluation of the application of part structured fine sheet metals for weight reduction in auto body production) first results about dent resistance were achieved.

The MWCNTs also plays a major role in grain boundary refining with reduction of particle size.
Fourier transform infrared spectroscopy (FTIR) data was extracted to investigate structural information and specific molecule-groups information of the obtained powder in the range 500 - 4000 cm-1.
The data points of the semicircle at low frequency regions gives intercept correlating to (Rs + Rct) from the Rct value, which are extrapolated by subtracting the value of Rs.
The good cycling performance of the LiFe0.5Mn0.5PO4-MWCNTs electrode is attributed to the reduction of the polarization loss for this peculiar Fe-to-Mn ratio.
Suib, Oxygen Reduction Properties of Bifunctional Α-Manganese Oxide Electrocatalysts In Aqueous and Organic Electrolytes, J.

Introduction During the past few years, the trade-off between gate-oxide scaling and satisfactory data retention has been recognized as a major challenge for the parallel scaling of conventional non-volatile memories with the mainstream complementary metal-oxide-semiconductor (CMOS) technology.
In a nanocrystal memory, the distribution of stored charges among isolated nanocrystals (NCs), improves the immunity of data against discharging through narrow leakage paths of the oxide and thus allows further down-scaling of the gate oxide [3,4].
These devices could be a route to overcome the problem of the increase of integration density and reduction of size of the future generation of integrated circuit.
These curves exhibit a quasi-exponential reduction of the current to its steady state level.
This suggests that in the I-t measurement, we are probing the statistically-averaged charging dynamics of a large number of NCs that shows a similar voltage dependent exponential reduction as a function of time.

Pf is the packing factor derived from the oil absorption data.
For comparison, the temperature for 3% mass reduction, the temperature for the second degradation stage initiation, and the residue mass are given in Table 4.
As shown in Tables 4 and 5, the thermal stability of the evaluated composites agreed to the inclined plane performance, that is, the composite MC1 that withstood the inclined plate tests with the higher DC voltage of 4.5 kV was the composite with the higher thermal stability, which is characterized by its higher temperature for initiation of the mass reduction and the lower maximum decomposition rate as shown in Tables 5 and 6.
Composite Temperature initiation (3%) of the mass reduction (°C) Temperature initiation of the second degradation stage (°C) Residue mass (%) Skirts 230 319 39 M2 279 327 61 MC1 284 332 68 Table 5.
Promisingly, the data allow us to know that the addition of nano fillers can augment significantly the resistance to tracking and erosion under HVDC voltages, becoming an option to decrease the largest creepage distances used in actual HVDC polymer insulators, when highly polluted conditions are expected.

In the present work, a study has been made to develop and extract statistical models to show the relationship between important machining performance data (material removal rate (MRR), tool wear ratio (TWR) and surface roughness Ra) and the input machining parameters (pulse current, and pulse-on time) in the EDM and US-EDM of AISI H13.
DATA ANALYSIS AND MODELS In order to study the effect of the independent input variables on MRR, TWR, and Ra, three models were created for the EDM and Ultrasonic-assisted EDM processes.
The R Squared (R2) is used as a measure of the goodness of fit and could be defined as the ratio of variability explained by the model to the total variability in the actual data.
The more R2 approaches unity, the better the model fits the experimental data.
Based on these experimental results and the data from Table 4, statistical regression models were developed simultaneously.

This paper studies the spatial characteristics of soil inorganic carbon (SIC) distribution in urbanized territories of main cities in Jiangsu Province, China, based on the data of regional geochemical survey.
This paper conducts research of SIC distribution and evolution in Jiangsu Province, the typical urbanized region in China, based on the massive data from regional geochemical survey.
Data sources.
Statistical analysis of the data was done using ARCGIS9.2 and SPSS13.0.
SOC attributes are obtained by spatial overlay analysis between field data and RS interpretation images supported by ARCGIS9.2, which make SIC status assigned to corresponding land uses.

Analysis of X-ray diffraction data using a refinement technique confirmed the rhombohedral structure of the samples.
Data were collected in the 2θ range of 10o to 90o.
Magnetization data were taken at room temperature using a VSM Lakeshore 7404 vibrating sample magnetometer.
The experimental data were refined using the Rietveld refinement technique.
The small difference between the observed and calculated data at the bottom of the X-ray diffraction curve indicates good refinement quality (Figure not shown).