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For this purpose, XRD data were collected in the step-scan mode over a 2θ range of 20–70° in steps of 0.02° at 5 s per step.
Obviously, the fitted patterns are in agreement with the respective experimental data and indicate the accuracy of obtained results (the χ2 value is found to be in the range of 1.6to 2.9).
From these data, it is possible to estimate the thickness of the grain and grain boundary by only knowing the average size of the grain [Fig. 3(b)].
Table 2 lists the resistivities of the grain and grain-boundary regions and the values for b calculated from the permittivity data for a temperature of 40°C.
TC was obtained using the permittivity data by extrapolating the curve for 1/ε in the paraelectric region.

We utilized the OIM Data Collection 4.0 system installed on the JEOL JSM-6500FE scanning electron microscope, equipped with a field emission gun and ECCI detector.
Figure 5 allows us to re-consider conservatively the presently available data on HCF of UFG ECAP Cu of 99.99% -99.96% purity obtained by different authors on differently manufactured samples.
The range of typically obtained fatigue lives for cold-worked oxygen free and tough-pitch copper is shown in Fig.5 in a shaded area, as deduced from a huge experimental data compiled by Murphy [13].
Correlation between the tensile and fatigue strength in conventionally manufactured and ECAPed Cu (open circles are plotted from [13,14], filled squares for ECAP data are from [3-5]) Figure 5.
Shaded area corresponds to a range of fatigue lives typical of cold-worked copper, according to experimental data compiled by Murphy (2001) [13].

In recent years, while data variety is important to be concerned, many other feature extraction methods study manifold structure [4], for example, locality preserving projections (LPP) [5] and Sparsity Preserving Projections(SPP) [6].
Unlike LPP, where local neighborhood information is preserved during dimensionality reduction procedure, SPP aims to preserve the sparse reconstructive relationship of the data, which is achieved by minimizing a regularization-related objective function [7].
In graph, structure of the original samples are actually depends on the sparse coefficients, and then the low-dimensional embedding of data is evaluated to best preserve such cost-sensitive structure in the original high-dimensional data space.
The projected d-dimensional data set is obtained by .
Step 3: The projected d-dimensional data set is obtained by .

According to the data obtained from DCCT diagrams, the parameters of the accelerated cooling and heat treatment combination were determined.
The measured data on the volume of the microstructural elements is shown in Figure 3.
Based on these data in this research the cooling rate was chosen to be 30 K/s, which may be used for the plate thickness of about 10 mm.
The calculated data of the volume of the microstructural components content is shown in Figure .
All data about the volume of each phase are shown in Figure 6.

Material data such as weldment stress rupture factors, additional isochronous stress-strain curves at 427 °C to 649 °C, thermal expansion coefficients, effects of a aging on the toughness of materials and weldment fatigue data etc. need to be added [5].
The weld strength reduction factors are not included in the draft code case and those factors should be added so that a weldment design could be possible.
It should also be noted that the design fatigue curves for Alloy 617 are only provided for three temperatures of 704 °C, 871 °C and 982 °C while the stress-to-rupture data are only provided for the range of 593 °C to 982 °C in the draft code case.
In the finite element analysis, as-received temperature data for Alloy 800H from a structural creep-fatigue test was used.
So, the preliminary geometric data will be used for the basic design data for the HGD of the NHDD program.

The digital human model moves without individual angle and coordinates data of the respective segments joints.
The recording of transaction data of an employee has to be designed in a way that the recording can be made as uncomplicated as possible.
This implies that the process of data collection is short and the employee does not have to face additional barriers in the application.
In addition, anthropometric data, such as the length of the limbs and the body size will be recorded and stored.
The usage of collected anthropometric and the movement data leads to individual programming of properties and limitations in the human model.

Strain gauges were experimentally connected to the data acquisition system and it was then attached to the charpy striker for the impact signal collection.
One of the problems that arise with this alloy is the reduction in its durability.
The strain gauges were attached on the striker during the test and it was connected to the specific data acquisition system to collect the data.
The Instrument charpy impact apparatus and data acquisition are shown in Figure 1.
From the time histories and PSD data, steel gives a higher maximum strain and PSD peak value compared to aluminium.

Only computation methods are applicable for prediction of the effects of proposed actions for noise reduction.
It is important to stress that noise mapping has statistical nature, and it requires acquisition of data in statistically meaningful amounts and periods.
The statistical analysis of the differences between the experimental data and numerical predictions of the A-weighted noise levels is shown in the Table 2.
This point is positioned between houses that were not modeled, so the observed smaller values of experimental data may be attributed to the insufficient description of the surroundings used for calculations.
In order to compare estimated noise levels with the experimental data, the measurements of noise were taken at 10 points near the overpass selected with the aim to represent the structure of the noise field that was studied.

The data for thiophene have been overtaken from J.
Data [19].
The data for Ce2O2S and La2O2S have been overtaken from other sources [6,14-16].
Knacke, Thermochemical data of pure substances. 3rd ed., Weinheim: VCH; 1995
Data (1995) 1351-1376

Through comparing with experimental data and the simulation results, it has verified the reliability of the simulation platform.
The comparison analysis on the data of simulation results and ship model experiment, they had a better consistency from Table 1, which showed that this simulation platform is a reliable and effective.
System Identification is the input and output data from the system established mathematical model theory and methods, including structure of mathematical model and the estimated model parameters.
Through comparing with experimental data and the simulation results, it has verified the reliability of the simulation platform.
This paper got the values of various parameters and compared the results between the system identification results and the experimental data, which verified the reliability of the system identification procedure.