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In this research, the forming tests are conducted using a piezoelectric force transducer to measure the oscillatory force data during ultrasonic excitation of the die.
The recorded signals were acquired using DataPhysics signal acquisition hardware and software for data processing.
The first set of force data was recorded from the load cell in the cross-head of the machine and two ultrasonic amplitudes of the die horn were excited; 12 µm and 20 µm.
The second set of data was recorded for an ultrasonic amplitude of 20 µm and the force was measured using the piezoelectric force transducer mounted between the punch and the machine cross-head.
The measurement data presented in Fig. 5 superimposes the force measured from the piezoelectric force transducer on the force measured by the machine load cell.

The data obtained from the properties test as Table 1.
The erosion experiment process under the hypothesis of erosion behavior testing, artificial rainfall was used in the simulation erosion experiment, artificial rainfall event based on the data observed from the Lamtakong Dam area.
The runoff reduction ratio (RRR) is a ratio showing the reduction of the surface runoff due to the erosion prevention system.
The sediment rate (SR) of the erosion experiment test with the geocell erosion-preventing system, the SR values were shown in Figure 4, which has a similar data arrangement as Figure 3, which shows the data of RR values.
Runoff rate and the runoff reduction ratio Fig. 4.

The reduction of the LTEC appear in HDPE/bamboo composites was dependent on the matrix and filler.
Thermal expansion is less of a mechanical phenomenon and more of a thermodynamic event[4], the data is one of the important engineering design parameters.
The length and temperature data were recorded and analyzed with TA’s Universal Analysis software.
Figure 1 Sample and configuration of a typical TMA apparatus Statistical Data Analysis Duncan’s multiple range tests for pair-wise comparisons were used to test the effect of various treatments on measured properties using Statistical Analysis Software SPSS 20.0.
Typical dimensional change data in relation with temperature for the composite system is shown in Figure. 3.

Reduction coefficient method lacks of theory support, but practical application is more convenient [7-10].
Simplified design method for any design service life According to the method of specification on long-term performance test, the long-term performance tests specimens are not less than 18 valid data and the maximum time not less than 10000 hours.
We think that the relationship between the reduction coefficient and double logarithmic linear extrapolation are consistent.
The reduction coefficient is a special case of the double logarithm linear extrapolation.
But we should notice that the reduction factor of different design life may be different in different conditions.

It reduces the time and resources consumption effectively Introduction Along with expense reduction of storage device and rapid development of spatial information technology, more and more multimedia data, for example, image format, are collected and stored.
· Most remote sensing data mining algorithm usually comes by the common data mining algorithm.
Because the algorithm does not fit the data structure, storage and characteristic of data processing, it will lose the spatial knowledge in the data mining process
· There are many error data and noisy data at data mining process.
· After receiving tasks, the parallel computers obtain data from database, discretize the remote sensing data (discretization standard is distinguishing woodland type) and convert the data to Boolean type data

These mechanical properties parameters provide the design data for the target surface temperature curve and dynamic control modeling of secondary cooling system, and are used to research hot delivery and crack mechanisms of cast slab.
However, the data for Continuous Casting is almost less.
The reduction of area provides a measure of the ultimate local ductility of a material up to the instant of rupture.
The lowest per cent reduction of area is 60%.
After 900°C, especially among 950°C to 1225°C, the per cent reduction of area increased higher even reached around 85% to 95%.

The direct impact of the mass reduction is not the only part where fuel is saved.
These data are stored inside a database to provide a single data source for the users.
There are four different kinds of data which should be stored: material data, process data, machine data and processed data.
Material Data (A).
Process Data (B).

In particular, the conditions of rolling reduction (0~60% reduction in thickness) and heating rate (0.083 and 100 K/s) were varied to understand their effects on the microstructural development of DP structure.
The higher rolling reduction and heating rate resulted in the finer DP structure, leading to a large improvement in strength level. 1.
Therefore, an existence of fresh martensite is regarded as black colored no data region when the data with confidence index value less than 0.1 are removed, Fig3.
However, the grain refinement strengthening doesn’t lead to a significant reduction in elongation.
With increasing the rolling reduction and the heating rate, the grain size of recrystallized ferrite becomes finer and the tensile strength is more increased without significant reduction of elongation.

Based on the axial compression load and consider the eccentricity ratio and slenderness ratio, by introducing the reduction factor of concrete strength and the equivalent restriction reduction factor, based on unified strength theory solutions of thick tube, combined with concrete filled skin tube unified theory， deduce the calculation formula of eccentric compression bearing capacity of concrete filled steel tubular columns and analysis the influence complication.
Within the Circle of Foreign Hollow Bearing Capacity of Concrete-filled Steel tube Column bias Unified Solution Within the circle of foreign hollow interlayer steel pipe concrete eccentric compression member's bearing capacity calculation formula is: （9） As the bearing capacity of bias, the outer steel tube and core concrete slenderness ratio and eccentricity affect the reduction coefficient, inside steel pipe slenderness ratio and eccentricity affect the reduction coefficient; outside steel pipe, steel pipe, the core concrete under axial pressure.
In this paper, experiment material parameters,, Based on the literature [6] test data for calculating and comparing with the test results, as shown in table 1.
Fig.2 D×t=58.5×1.4 Relations betweenand , Fig.3 Relations between and Conclusions (1)  round foreign insulating interlayer under the condition of concrete filled steel tube cross-section size remains the same, the yield strength of the round steel pipe, wall thickness and pipe diameter and the bearing capacity of the round steel tube within itself is the main factor affecting bearing capacity of compound concrete filled steel tube (2) The concrete strength reduction factor and equivalent restraint reduction factor, will be round in foreign hollow interlayer equivalent for double circular hollow concrete filled steel tube concrete filled steel tube, through comparing with the test results, which proves the feasibility of the method
(3) The concrete strength reduction factor and equivalent restraint reduction factor, will be round in foreign hollow interlayer equivalent for double circular hollow concrete filled steel tube concrete filled steel tube, through comparing with the test results, which proves the feasibility of the method.

Firstly, the theory of Principal Component Analysis (PCA) is used to reduce the dimensions of measured data from traditional Supervisory Control and Data Acquisition (SCADA) system.
Data Preprocessing and Dimension Reduction Based On PCA Missing Values Replacement, Stratified Random Sampling &Normalization Processing.The missing values in the matrix data should be replaced by the Moving Average Processing, to reduce the effect of the wrong monitoring data.
To ensure that the data used for model training is typical and universal, the matrix data will be sampling by the method of stratified random sampling.
The sizes of the train data set and test data set from stratified random sampling are 500*44 and 48*44.
To evaluate the accuracy and the generalization ability, the other 2 methods, Moving Average (M-A) and traditional Multiple Linear Regression (MLR) are established by the train data set, and tested by the test data set.