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The experimental data have been adequately modelled using various formulations reported in the literature.
The values of a and b of Eq. (6) fitted to the experimental data are plotted as a function of the annealing temperature in Fig. 3-a.
The activation energy at the completion of recovery, QRy = 404 kJ/mol, and the values of the constants c1 = 1.471 10 15 and c2 = 228 kJ/mol have been evaluated relating the solution of the differential equation with the coefficients b and a of the logarithmic decay of the experimental data [16].
The comparison between the experimental data and predicted curves is shown in Fig. 4.
A good agreement has been found between the predictions of the model and the experimental data.

The dislocation density distribution is determined from experimental data obtained by PVScan analysis from a vertical cross section slice.
Due to the lack of data in literature, we assume that the diffusivity of iron in silicon nitride coating layer is equal to DFe-SiO2.
In order to study the reduction of minority carrier lifetime by iron, we suppose that Shockley-Read-Hall recombination is the only recombination mechanism of carriers in the material.

A Matlab® script is used to excite the PZT actuator via picoscope 2208 of Picotech®, the captured signal is acquired also by the picoscope and the data is processed in Matlab.
Data are captured only when the system reach the steady state.
Thus, an effective noise reduction scheme is implemented by a notch filter of 105 kHz of central frequency to unmask the relevant information transported by the guided wave.

The texture analysis gives the most direct data on the degree of grain fragmentation under conditions of deformation.
Obtained data are presented in the form of GPF βhkl, GPF Dhkl, GPF εhkl and so on.
Shown distributions were constructed on the basis of data, obtained for the middle region (3 x 3 mm) of rods Ø 9 mm.
Judging by data of Table 1, in the case of α-Ti rods the used regime of ECAP promotes grain refinement, whereas in the case of Cu rods the revealed tendency does not agree with this effect.
The above comparison are illustrated by the example of X-ray data, obtained by study of ECAP rods from Cu and Ti.

Data compression techniques have been investiagted by Zhang et al. [22].
The System Equivalent Reduction Expansion Process (SEREP) is applied to enhance the information available from the sensor data.
The analyst selects one or multiple models for subsequent analysis based on his/her experience and additional observations not captured in the experimental data or objective function [11][36][37].
Their proposed methodology consists in a moving sensor that captures acceleration data as it moves, resulting in a record of acceleration as a function of time and location.
It implements modular design and uses distributed data collecting and processing strategy.

Finally, after reduction, the model of original series is obtained.
The invalid data which significantly deviate from the normal range must be removed.
After excluding the above three types of invalid data, according to 3σ criterion, take the secondary removing.
So we substitute an additional data for invalid data in corresponding time.
The substituted data from three ways: First, based on experience, recover valid date from the "jump cycle" data; Second, for the data deviation from the normal range due to strong interference generation, we use linear extrapolation to obtain a new data replace the original data; In additional, the management agency regularly release revised ECD data, the date which ECD exceed the allowable tolerance can be correct.

This module is to manage the whole data of CIMS system and achieve the integration and sharing of data of each production and management procedure.
They have the condition of direct data change with relational database.
It collects and transfers the data between real time database and relational database through internet.
And the relational database system is the data supporting platform to manage the software system.
And it builds the data collection server to ensure the data transmission between real time database and relational database.

The validity of this interpretation is supported by the simulated results which are in good agreement with experimental data [5].
The computer simulated solid lines for nitriding ambients show excellent agreement with the experimental data [8].
Similar data were presented by Lerch et al. [24].
Annealing time (s) Figure 20: Summary of sheet resistance versus annealing time data for two gaseous annealing ambients (Ar: solid symbol, NH3: hollow symbol).
The broken lines are linear regressions to the data.

Our data showed that the minimum inhibitory concentrations of the pour component was less than 5mg/ml for all four microorganisms and the minimum concentration with anti-inflammation was 0.2mg/ml for both IL-8 and IL-6.
Hamada, "Reduction of dental plaque deposition in humans by Oolong tea extract, "Caries Res., 28, 146-151 (1994)

The results of experimental studies of the different machinability group materials’ characteristics, including tool steel DIN C125W, heat-resistant steel (C - 0.1%, Si - 0.6%, Cu - 0.3%, W - 0.1%, Mn - 0.4%, Ni - 23%, P - 0.01%, Cr - 12%, S - 0.01%, V - 0.01, Mo - 1.5%, Ti - 3%, V - 0.001%, Al - 0.6), nickel-based superalloy (Fe - 4%, C - 0.1%, Si - 0.6%, Mn - 0.5%, S - 0.01%, P - 0.01%, Cr - 15%, Ce - 0.01%, Mo - 4%, W - 6%, V - 0.3%, Ti - 2%, Al - 2%, B - 0.01%), the changes in the minimum surface wear, maximum cutting path, and cutting temperature in the processing of these materials, as well as the experimental data analysis showed that the extreme values of changes in the materials’ physical and mechanical properties under the temperature impact can be defined as the minimum surface wear temperature and maximum cutting path temperature, that is, the conditions corresponding to the maximum workability of the materials.
It was established according to the results of the performed work for each of the processed materials that such mechanical properties, as the relative elongation (δ) and the relative reduction (ψ), as well as physical parameters, such as the thermal (linear) expansion coefficient (α) and thermal conductivity coefficient (λ) have minimum values, while the specific heat of the material (C) has the maximum value at the same critical temperature.