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The Young’s modulus values for the Ti–6Al–4V and β-Ti–12Mo–8Nb alloys were 155 and 103 Gpa, respectively, indicating a 33.5% reduction for the alloy described in the present work.
Calvert: Pearson’s handbook of crystallographic data for intermetallic phases, second ed., ASM, Metals Park Ohio, 1991

Due to the uncertainty in inspection data, conservative data are used for the integrity evaluation.
However, some test data cannot be explained by these failure criteria.
FAD can explain these data more exactly.
The maximum change rates are obtained from ISI data with 0.03mm/year in thickness reduction and 0.11mm/year in radius increase.
Analyses about failure probability are performed using probabilistic variables taken from ISI data.

The adopted second method is support vector machine which is a strong theoretical learning technique that can analyse data and find pattern in the data[12].
Data set In this work, the spam data set namely spambase has been collected from UCI machine learning repository for the experiment purpose[14].ELM technique uses the basic feed-forward neural network for classification and regression [11].
Empirical and Cumulative distribution of data set Table 2.
F Kwok Enhancing email classification using data reduction and disagreement-based semi-supervised learning.
Gupta and R Mishra Applicability of Rough Set Technique for Data Investigation and Optimization of Intrusion Detection System.

The stable stress distribution was obtained as Fig.4,The maximum stress was shown at the inner surface where flange valve intersect.The result agreed with the expection before calculation because it is a geometric discontinuous location.The stress verification line was drawn here and the datum was shown at table 1.
Table 3 stress analysis result under different inner pressure Inner presure (MPa) SⅡ(MPa) SⅣ(MPa) Result 17 237.1>205.5 355.6<411 No allow 16 226.4>205.5 348.2<411 No allow 15 214.9>205.5 337.5<411 No allow 14 202.4<205.5 323.5<411 allow 13 189<205.5 304.4<411 allow From the table 3 we found that follow the reduction of inner pressure the value at stress analysis descend accordingly.

The first problem to solve is data, including interval , index selection, data preprocessing ; the second problem is how to choose the model assumptions in many econometric models
Therefore, this paper chooses the monthly data after 2001.
As the share reform process carried out bad assets, the overall NPL ratio reduction treatment carried out on non-performing loans ratio and other indicators of the kind of model is introduced directly into the dummy variable adjustment. ( Raw data not shown separately) (2).
As a result of the data as time-series data, in order to avoid the above two problems, we adopt the text cointegration model[8]
Result in long-term loans and working capital loans data model estimates as well.

It is based on the principle of structural risk minimization, which aims at minimizing the bound on the generalization error (i.e., error made by the learning machine on data unseen during training) rather than the minimizing the mean square error over the data set.
Training samples for the RVM framework are extracted form the simulation data.
The TSA data set has a large percentage of stable cases, with the ratio of stable to unstable cases of approximately 10:1.
The resulting classifier is then tested using the testing data sets for performance.
[6] N.Kaplowicz, "Learning from imbalanced data sets: a comparison of various strategies," Proceeding of learning from Imbalanced Data Sets.AAAI Press.Menlo Park.CA.

To obtain the real temperature value, a simple linear interpolation is conducted on the data in cells and on either side of temperature .
As the calibrated temperature value is finally obtained via linear interpolation between the two temperature data values, the error is very small in global scope.
This increase in significant data does not affect the conversion time of the real-time control process using the above conversion principle.
For the K-type thermocouple, ‘E-T’ conversion of data in the range 0-1372 oC was carried out using both the proposed method and the piecewise linearization method.
(In Chinese) [7] A.A Puntambekar: Advanced Data Structures and Algorithms (Technical Publications, 2008)

The results of the numerical simulation were further validated by experimental data, which were obtained from the semi-continuous hot rolling of the austenitic stainless steel. 1.
The results of the numerical simulation were further validated by experimental data, which were obtained from hot rolling at the semi-continuous mill of the Institute of Metal forming at the TU Freiberg. 2.
This further enabled the reduction of the calculation time.

The dielectric loss factor (tanδ) and capacitance (C) were examined by LCR meter (TH2828A, Tonghui electronics), and the capacitance data were converted to the relative dielectric constant (εr) related to the disc thickness (t) and electrode surface area (S)], using the classic relationship C=εrS/t.
Fig.3 Percentage of tetragonal and rhombohedral phases in PSZT ceramics with various barium contents According to the data from the XRD patterns, the lattice parameters (cT, aT, cT/aT) for T phase and (dR/aR, where dR is the diagonal of the rhombohedra) for R phase in the PSZT ceramics can be calculated using the least square method.
It is observed that εr increases almost linearly with the barium content range of 0.14 to 0.22 and then exhibits a reduction tendency.

This results in the cost reduction in fabrication and launches effectively, as well as improving the system performance.
Testing data of the optical surface contour map will be transformed into fabrication file after the completion of optical aspheric profilometry.
Interferometry with null lens technology will be suitable for supplying the surface testing data during the optical polishing.