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The human body's dynamic and static data show that the parameter of detail parts specification has great changes, while the parameter of control parts' specification parameter has small changes.
Experimental Size measurement and variable analysis under body static condition Through data collation and variable analysis, dynamic parameters of the human body is obtained, which provides data reference for the restructuring of sheath dress and suitability inspection
The experiment rules out individual differences of limiting the movements due to physical factors in order to ensure the relative stability of the measurement data
Data collection, reduction and analysis Due to initial data collection may overload, after finishing and analysising the variables and parameters, only study and analyse the body surface of related position which may influence the suitability of the sheath dress pattern, which can provide data reference for detail structure of sheath dress pattern of elastic fabric based on dynamic change.
According to the data both under static and dynamic condition, the change of body surface extension parameter of detail specification is larger under moving condition, while there is no obvious change in control parts (see Table 1).

Control of their accuracy parameters is complicated task consisting from some high requirements needed for rotation, positioning, signal processing, object adjustment and data processing.
During the process of calibration the results of measurements are collected and accumulated data is analyzed by information system.
Data management of mechatronic system The amount of data generated by such systems is usually vast in an average complexity of the system.
Adding information entropy parameters helps to determine the uncertainty of performed measurements, therefore improving the accuracy of data processing. 5.
Data processing and information assessment in scales measurement simulation, in: Proceedings, XVII IMEKO World Congress, 2003, pp. 1053–1056

The subject of this paper was to investigate the run-off-effect of metals from can into the solutions and analyze the data retrieved by Electrochemical Impedance Spectroscopy (EIS) and Linear Voltammetry (LV) techniques.
[4] World health organization, food and agriculture organization of the united nations: Prevention and Reduction of Food and Feed Contamination, 1st Edition, FAO and WHO 2012, p. 178

From the microscopic observation data, matrix crack, fiber breakage and delamination are the main impact damages of honeycomb sandwich panels.
The newly developed materials started to be widely used for the industries since the later part of 1990, owing to the excellent advantages in the weight reduction, endurance and the anti-corruption compared with the existing metallic products.

The reduction of strength with increasing tilt angle is explained by superimposed shear stresses
-200 -100 100 200 300 400 -40 -30 -20 -10 10 20 30 40 σ1 / MPa τ12 / MPa Hill Failure Criterion Experimental Data Fiber Tensile Failure Matrix Shear Failure Fiber Buckling Failure -200 -100 100 200 300 400 -40 -30 -20 -10 10 20 30 40 σ1 / MPa τ12 / MPa Hill Failure Criterion Experimental Data Fiber Tensile Failure Matrix Shear Failure Fiber Buckling Failure Figure 5.
Based on three on-axis experiments, a tensile test, a compression test, and a shear test, all necessary input data can be generated which are necessary as input data for the finite element model.
Calculated and experimental data of elastic properties (left) and strength (right) dependent on angle between loading direction and fiber orientation under compressive and tensile loading conditions.
The model can be used efficiently as all necessary input data can be derived from three mechanical tests as tensile, compressive, and shear test.

Table 3 Demand pattern & Wind generation pattern Demand pattern & wind generation pattern Peak time Scenario 1 Spring 2~6p.m (4h) Scenario 2 Summer 1~5p.m (4h) Scenario 3 Fall 1~5p.m (4h) Scenario 4 Winter 8~12a.m (4h) 3.2 Input data for carrying out case study A chart of input data for carrying out REC weight analysis in the already selected peak time slot can be made as follows.
Therefore, KRW 500 million was reflected in the input data for the additional installation cost of ESS after 10 years.
Application of different weight to peak time slot is meaningful in the respect that it is a factor that can motivate the renewable power producers to use ESS, and can be utilized as baseline data of incentive provision method of government that aims at peak reduction and the peak coincident factor improvement of renewable energy source.
Peak time slot was determined through system load pattern and renewable power generation pattern analysis, and was utilized as input data for assessing REC weight through life cycle cost analysis according to each assessed scenario.
REC weight assessment is meaningful in the respect that it is a factor that can motivate the renewable power producers to use ESS, and can be utilized as baseline data of incentive provision method of government that aims at peak reduction and the peak coincident factor improvement of renewable energy sources.

MAUD v2.94 Rietveld refinement software are used to simultaneously refine the diffraction data by varying the spherical harmonic texture parameters [18-20].
Result and Discussion Fig. 1 shows the sample data reduction and curve fitting which shows a good agreement between reduced data (blue) and pseudo-Voigt fit (red).
Total of eleven data of each azimuth angle (φ) were reduced, fitted, and evaluated by sin2ψ – σ plot as shown in Fig. 2.
Fig. 3(a) shows the 2D xy-offset data plot from φ=0° to φ=90°, one can clearly see is that all the major peaks are increase with φ (maximum at 90°).
The sequential Rietveld refinement shows a good agreement between observed and calculated data (Fig. 3(c)), but there is over (600 cts) and under (-740 cts) fit shown in residual fit (Fig. 3(d)) due to the limitation to model the actual data.

However, there has been an accumulation of experimental data attesting that the mechanism of total water oxidation is more complex.
Therefore, reduction of the band gap of TiO2 from 3 eV (for rutile) always must lead to enhanced performance.
However, the contribution of the impact of the band gap reduction and other KPPs on the conversion depends on the factors mentioned above.
Since TiO2 exhibits an outstanding corrosion and photocorrosion in water, the TiO2-based systems are the best candidates for generation of the empirical data that could be used in derivation of reliable theoretical models.
Accordingly, the studies on processing the TiO2-based systems for solar energy conversion aim at reduction of the band gap from the level of 3 eV (rutile) to a lower value.

The IF steel was deformed at 500 oC by 7-cycle ARB (a total thickness reduction of 99.2 %, corresponding to an equivalent strain of 5.6), while the 2N-Al and 4N-Al were deformed at room temperature by 6-cycle ARB (a total thickness reduction of 98.4 %, corresponding to an equivalent strain of 4.8).
A large fraction (51.8 %) of high-angle boundaries (with misorientation angles > 15 o ) are present in the specimen, as determined from the TEM data.
It was expected that such a treatment should improve the ductility without a large reduction in strength.
Note that the data here for IF steel are for 6-cycle ARB samples.
As for IF steel and 2N-Al, a small post-annealing additional rolling reduction led to a decrease in strength and an increase in ductility for 4N-Al .

Therefore, the precipitate chemistry is considered useful in providing information about the precipitation or dissolution behavior during annealing in the ferrite region, to help in the interpretation of internal friction data.
This explanation was supported by STEM data [5] which showed higher Ti/V ratios for precipitates in the annealed steels as compared to Ti/V ratios for those in the as-received hot rolled steels.
The reduction in Snoek peak height observed with extended annealing time (beyond 60 seconds) is believed likely to result from diffusion of solute carbon to lower energy sites like 1 hr.
That is, a reduction of Snoek peak height can occur when the rate of solute carbon segregation to lower energy sites is greater than the rate of carbide dissolution.
Mn and P additions to Nb ULC steel resulted in a reduction in the carbon Snoek peak height.