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Principal component analysis algorithm is widely applied in solving a large number of dimension reduction problems for high-dimensional data in fields such as image identification and comprehensive evaluation due to its clear conception and simple application.
The PCA based on covariance matrix and correlation coefficient matrix is very sensitive to abnormal values so that the data structure is distorted.
In data analysis, one or several abnormal values can make the data structure distorted.

The modeling process was validated by comparison with available experimental data.
Recently Barzanoni et al. [8] proposed in study, dimensionless correlations based on previous experimental data and reported empirical correlations of others for frost properties are proposed.
Numerical simulations and comparisons with available experimental data were made.
Also, the effect of the other parameter as humidity, surface temperature and velocity were numerical predicted and compared with experimental data.
The numerical results obtained seem to be coherent and presents a good agreement with experimental data.

There are situations where baseline fatigue crack propagation (FCP) data are needed but the available material for its evaluation is far from enough to fabricate full sized standard specimens.
Even at the low ΔK end, the miniature specimen results fall on the lower bound side of the standard specimen data.
Fig.2 shows that even these data are brought close to the standard specimen trend.
By taken into account of crack closure, the miniature specimen data are brought in line with the standard specimen results.
The growth rates versus DKeff relation may serve as an upper bound to get a conservative estimate of structural fatigue life from miniature specimen data.

Modern Data Information Retrieval and an Approach towards Content-based Collaborative System L.
A method for collection 3D data is described and inevitable recursive analysis and relevant equation are induced.
The Web-based data retrieval system aims to quickly enable and responsively provide design alternatives and manufacturing data to user in a highly interactive way.
Data Retrieval towards 3D Modelling Using Container Descriptor and Recursive Analysis.
Due to the large number of shape based modelling systems available, data sharing is a hard task to deal with.

Maximum metal reductions for Fe, Mn and Zn were 2.06 ppm, 0.081 ppm, and 0.064 ppm respectively obtained at 0.08 g/cm3 packing density and 5 ml/min flow rate.
The analysis of variance (ANOVA) was performed for identification of significant factors at p = 0.05 (1) Results and discussion Effect of Packing Density and Flow Rate As shown in Table 2, maximum Fe, Mn and Zn reductions were 2.064, 0.082 ppm and 0.064 ppm, respectively at 0.08 g/cm3 packing density and 5 ml/min flow rate.
Interaction of factors The Pareto charts of Fe, Mn and Zn removal from different packing density and flow rates (results not shown) suggest that the packing density (p<0.0008, p<0.0010, respectively) has the most significant positive effect on all metals, and flow rate (p<0.0072, p<0.0244, respectively) has the most negative effect on Fe and Mn reduction.
The response surface methodology model fitted well to the experimental data suggesting good agreement between experimental and predicted values.

Horizontal reactor with rotating holder is mainly used for 6 inches mass production, leading to an effective cost reduction.
The data are showed as a function of substrates position within the ingot (ID).
A reduction (~5%) of SFs is detected.
Moreover, a significant reduction (40%) of morphological defects (particles, micropits, carrots) is observed.
The epitaxy grown with HGRc shows a significant reduction of morphological defects.

The basic requirements for a future integration device are minimum feature size reduction with device integration and high-speed operation with sufficient cell capacitance.
Furthermore, the amount of air exhaust from the wet system is drastically reduced, resulting in a reduction of clean air production volume.
Both in line data and final yield improvement data (0.3 to 0.5% yield up) validates the effectiveness of this cleaning step (Figure 1).
Especially, the reduction of its etch rate is critical as the film thickness decreases.
Figure 4 compares the dependence of metal particles removal efficiency with a high oxidation-reduction potential(ORP) value.

Comparison of thermal conductivities of Si thin film using MD calculation with bulk experimental data from Refs.5 at different temperatures are shown in Fig.3.The thermal conductivities of Si thin film are almost independent of the temperature, but the corresponding bulk values show remarkable reduction as temperature increasing.
Fig.3 Comparison of calculated thermal conductivity of Si thin film at various temperatures with bulk data Theoretical Calculation To confirm that MD simulation can provide accurate results for the thermal conductivity of semiconductor thin films with vacancy defects, we also base the theoretical analysis applied to silicon thin films to calculate the thermal conductivity.
(6) Where, is the thickness of the thin film, is a boundary scattering reduction function:
Both the results have a good agreement that the linear reduction of the thermal conductivity with film thickness increasing is pronounced.

With the powerful control function and visualized operation, the multifarious data input and model selection will become simple through the concise and friendly interface.
VB has rich data types, and is a kind of structured design ideas and language, but also easy to learn.
The test results show that under the same fluctuation frequency and fluctuation amplitude, the percentage of elongation and percentage of area reduction of pulse square wave are the bigger, showing that stress corrosion sensitivity of pipeline steel is the weaker relatively under such condition; while the percentage of elongation and percentage of area reduction of triangular wave are the smaller, showing that stress corrosion sensitivity of pipeline steel is the stronger relatively under such condition.
Table 1 Test results of stress corrosion test Waveform Percentage elongation (%) Percentage of area reduction (%) Fracture stress (MPa) Pulse square wave 13.4 69.7 275 Triangular wave 11.1 60 327 Fig.2 shows the fracture feature of X70 steel specimen gained after F-SSRT testing is superimposed with pulse square wave in J6B solution of simulated soil.

Antares Software was used to collect the data on the elongation of the samples and the measuring of temperature in pre determined periods of time.
Results from the creep tests at 600°C are summarized in Table 1, which shows the values of stress (s), primary creep time (tp), secondary creep rate (ε·s), final creep time (tf), final strain (ef) and reduction of area (RA).
The reduction of the steady-state creep rate (Table 1) demonstrates that the higher creep resistance of Ti-6Al-4V is observed in samples with ceramic coating.
Table 1 - Creep data at 600°C.
Occurred a decreasing of steady state creep in function of the reduction of oxidation process, showing that for the Ti-6Al-4V alloy their life time was strongly affected by the superficial treatment that was submitted because the oxidation suffered by the material.