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Data were collected using CuKa radiation in the range10°≤ 2Ө≤ 120° with a step interval of 0.02°.
The hardness of WM decreased after all heat treatments due to removing of residual stress, reduction of lattice defects generated during welding, grain growth and formation of considerable ferrite in the microstructure [20].
We can explain that by removing the residual stress, reduction of lattice defects generated during welding.
Lars-Eric, Control of Microstructures and Properties in Steel Arc Welds, Library of Congress Cataloging-in Published Data, (1994)

The data processing part performs the image processing to find and decode the barcode.
Data Processing Flow Fig.4 shows an overview of the data processing flow that we have developed combining the conventional methods.
Fig. 4 Overview of Data Processing 1) To clear the boundary between bars and capture the whole width of the barcode, the color data lower than thresholds are eliminated. 2) Since the blurred (mixed) RGB data are hard to be separated, they are converted to the HSV data. 3) By using HSV format, the mixed color can be separated easily according to the value of the hue.
To Fig. 5 Hardware Organization of Data Processing.
To the RAM for the histogram, although the first data comes after the latency of 27 clocks, all following data comes per clock cycle, capturing the image.

Experimental data were described by Langmuir and Freundlih isotherms, and the correlation coefficient (R2) shows that the adsorption follows the Freundlich adsorption model.
However during the calculation of removal capacity, these unutilized mass of resin were accounted, leading to reduction of qe[7].
Experimental data were described by Langmuir and Freundlih isotherms, and the correlation coefficient (R2) shows that the adsorption follows the Freundlich adsorption model.

For the global comparability of the approximation of the models to the measured data the Lebesgue L1 norm of relative errors appearing at the individual measured data were assigned to a given theoretical method.
These models were compared to the measured data described in [10-14].
Of the force models, the Geleji model [3] shows the highest coincidence with the measured data.
Relatively little data concerning temperature measurements can be found in the literature, so we created our own experiment.
The models were compared to the data of our experiment and the measured data described in [12, 17].

According to the original data, information of force and displacement is accompanied with oscillation.
We select 30 one-to-one force and displacement as fitting data.
As is shown in Fig. 6, the data distribution discipline is reflected very well.
According to the above probability density function, the sample data uncertainty can be obtained:
(11) Where S(xi) can be obtained by the Bessel Formula, n is the sample numbers, xi is the sample data and is the mean value of sample data.

In the benchmark research, calculation accuracy of COSMAP is verified by experimental data of temperature, distortion and residual stresses.
Some data of experimentally measured distortion and residual stress are also over plotted to verify the simulated results and to confirm reliability of the developed code.
The data on the surface agree qualitatively with the measured values by X-ray diffraction method on the surface.
The data of axial stress almost equals to that of tangential stress.
The predicted results by the code agree well with the experimental data.

The system is composed of a high-speed data acquisition card, two optical sensors, an encoder, a cylinder pressure sensor, an amplifying circuit and an industrial computer.
Then the signal sampling from the high speed data acquisition card is treated by the industrial computer.
Data Acquisition.
According to characteristics of the high-speed data acquisition card and requirements of the tests, data acquisition software is written by Visual Basic, Fig. 6 shows the flow diagram of the collecting program.
Data Analysis.

The results of simulation were verified by comparing with available experiment data and literatures.
Fig.1 shows the visualization of flow past NACA0012 at Re=5×105 and the comparison [19] of the lift coefficient and drag coefficient is shown in table 1 from which we can see that the present result is consistent with CFL3D and other published results while fig.2 is the comparison of lift coefficient curves and drag coefficient curves at different angles of attack at Re=6.6×105 and we can see that the results is very accordance with the experiment data and other published data.
Fig.3 and fig.4 show the lift coefficient and drag coefficient curves of these hydrofoils at Re=1.0×106and comparisons with experiment data, from which a conclusion can be made that the lift coefficient varies with the camber of the hydrofoil, that is, the camber goes up and the lift (a) Drag coefficient curves (b) Comparison of NACA0011 (c) Comparison of NACA2411 (c) Comparison of NACA4411 Fig.4 Drag coefficient and comparison with experiment data C.
Fig.5 Lift coefficient curves of hydrofoils with different thickness (a) Drag coefficient curves (b) Comparison of NACA4411 (c) Comparison of NACA4417 (d) Comparison of NACA4424 Fig.6Drag coefficient curves and comparison with experiment data D.
The simulation results are accurate with experiment data when angle of attack is under 20° and simulation error increases when the angle of attack gets bigger.

Used primarily to investigate the water quality response to management actions, WASP5 is a tremendous asset in computing point and nonpoint source load reduction.
Meteorological condition uses the field data measured near the lake.
Figure 1 Model grid of the Meiliang Lake Model Validation Used the field data in 2007 of Meiliang Lake to validate the accurancy of the numerical model.
The results of the field data and simulation results are given in the table 1 and figure 2.
As we can see from the figure 2, the simualtion results are agreement with the field data.

Curve fitting of industry life cycle Curve fitting analysis of the most typical is the Gompertz Curve and Pearl Curve; the former applies to historical levels after the logarithmic growth factor MoM closer analysis of the object, which applies to the reciprocal of the amount of historical data growth ring level analysis of the coefficient relatively close objects.
Data Selection.
This paper consider from the data obtainment property and selection of period, adopting the output index of dairy products 1978-2007 (unit: one thousand tons), the original data comes from the 2009 Chinese Dairy Industry Yearbook.
Due to the discontinuity of data 1978 years ago, 2008 melamine makes dairy product data appear abnormal reduction, so this paper measures investigation period of development stage of Chinese dairy industry from reform and opening up to 2007.