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At first the load data has to be captured in the control (load data capturing).
The load data are written to data records and compressed.
Load data compression The load data is compressed by averaging.
The data is stored in a global array in the Matlab workspace.
Now the simulation model is able to read the required data.

These processes should be eliminated to achieve a significant cost reduction by integrating and reducing post-processing techniques.
Almost all of the data was newly measured, but some data was taken from the MATEQ or calculated empirically.
Discussion is made for hardness data in the core of the gear using the DB and data mining software C4.5 [8] for inducing decision trees.
This data mining result correlates well with the simulated results, which indicates that the data mining is effective for determining suitable conditions.
Quench distortion tendency data of several carburized gears must be collected for further development of the DB.

An application will be presented in this paper by integrating seismic data and production data to achieve history matching.
In 1997, a method improving production history matching with time lapse seismic data was proposed.
The traditional approach needs fracture data, so it is obviously not for this reservoir.
Seismic Attribution and Reservoir Development Regularities Seismic attribute is the derivative of the original data, it provides a more informative data sources close to lithologic, reservoir, pore seam, etc.
It is expected to get more valuable information to be used to constrain the simulation, if fracture logging data and seismic data are used in combination.

We called it the damage factor that the factors influenced these data and denoted it by D.
Manage the Spatial Data.
The data of Langfang updated frequently, such as mobility, transformation of basic design, equipment updates and other data needed to update.
Digital Emergency Management system of Langfang provides stronger data collection and edition; a variety of data can be entered directly or imported from other databases.
Spatial data query is the basic functions of the system.

The work is based on the correlation of the X-ray analysis data, temperature-field and orientational dependences of magnetization of single crystals.
The main crystal data are shown in Table 1.
Data reduction, including a background correction and Lorentz and polarization corrections, was performed with the CrysAlis Pro software.
The main crystal data are shown in Table 2.
The structural data are deposited as CIF at the ICSD (CSD No. 427880).

An increase in the amounts of the desired silica and alumina for both kaolin accompanied by a reduction in the amounts of the undesired oxides present in the kaolin as impurities are clear indications that the acid leaching was successful.
The nitrogen adsorption data were collected using Micromeritics ASAP2010 nitrogen gas analyzer and the morphology of the zeolite samples synthesized from both kaolins were carried out using an ASPEX 3020, Aspex Corporation located in the located in Institute of Materials Research, Germany.
The TG/DTA curves of the synthesized type X zeolite BET Analysis The Brunauer-Emmet-Teller (BET) data of the NaX zeolite are presented in Table 2.
Water Adsorption Capacity Test The zeolite adsorption data for the synthesized NaX zeolite from both kaolin samples is shown in Figure 6.
Graph of Water Adsorption capacity as a function of calcination temperature for Zeolite-X samples Ion Exchange Capacity Test The pH method was used to check the ion exchange capacity of both zeolite X and the data obtained are presented in Table 3.

Up to now, however, the above EPR experimental data have not been theoretically explained, and neither have the local structures for the two 3d 7 ions in Al2O3 been obtained.
It can be shown that these results are not in good agreement with the experimental data; especially the anisotropy, ∆g, which is larger than the observed value [14].
By fitting the calculated EPR parameters to the experimental data, one can obtain ∆ZCo ≈ 0.03 Å
By fitting the calculated g-factors to the experimental data, one can obtain ∆ZNi ≈ −0.38 Å
e ) centers in Al2O3, based upon the axial displacements ∆ZCo and ∆ZNi in this work, exhibit a better agreement with the experimental data than do those based upon the host structural parameters at the normal Al3+ site and those in the absence of ligand orbital and trigonal distortion contributions.

First of all, according to the data the main peaks (I = 100%) of every diagram belong to Zn-phase, that testified the primary presence of metallic Zn-phase in nanopowder.
It is to note that BET-data corresponded to the SEM data, which estimated that the average size of particles belonged to the diapason of 40-80 nm.
The reduction of the spikes’ value during 60 min from 15.8 % up to 8.0 % and 13.5 % was defined in DW- and PBS-suspensions, respectively (Fig. 2, a, b).
Dispersive assay of zinc nanopowder suspensions based on distilled water (DW-suspension), phosphate buffering saline (PBS-suspension), and glucose solution (Gl); data of method of laser diffraction, exposure time – 15 min.
According to the data of scanning electron microscopy, in the case of high conversion degree transformation the products may crystallize and have a totally different structure and morphology from initial powders.

In both simulations for effects on the fiber diameter size (flow resistivity) and material thickness, data obtained in Table 1 were manipulated and substituted into the empirical models.
For processing and data acquisition, two channels, digital frequency analysis device was used.
Although the apparatus can support from 200 Hz to 6000 Hz, it is best to start from 500 Hz to 6000 Hz to reduce inconsistent data from lower frequency because of the lower sound created from the sound source.
MATLAB can help solving the critical calculation that can reduce the time obtaining the result data.
This compact structure caused a reduction in the size and volume of air void fractions.

Applying broadband FRF data in this approach and the fact that there is no need for data from the healthy state of the structure are other advantages accompanying this method.
FRF data are obtained by employing input and output PSD data.
FRF data are then reconstructed to magnify the impact of low frequency spectra in damage identification procedure.
The damage localisation results for noisy- polluted data are presented in Fig. 3.
Damage Detection Using a Modified Laplacian Operator on Mode Shape Data.