Search results

The mesh of model and the location of data points A~H are shown in Figure 5.
By adopting FEM strength reduction dynamic analysis, mutation happens in the accumulated displacement after dynamic effects in data point A when the reduction coefficient is 1.17, as shown in Figure 6.
Fig. 6 Relationship curve between displacement and reduction coefficient of data points after dynamic effect When the reduction coefficient is 1.15, convergence of the displacement after dynamic effect appears in the calculation and the structure can still bear loads.
Fig.7 Time-history curve of horizontal displacement of each data point under different reduction coefficient When the reduction coefficient is 1.15, shear plastic zone transfixes.
Fig. 10 Time-history curve of acceleration of each data point Figure 10 is the time-history curve of acceleration of the data point on the top of each stage of reinforced earth-retaining wall, which shows the higher the data point, the larger the peak acceleration, the more obvious the magnifying effect is.

The experimental data were analyzed and the turbulence intensity and wind reduction ratios for different gaps of the porous fence were calculated to estimate the shelter effect of a non-planar porous fence model.
And because the length of the test section is 1600mm and within the length there is a good shelter effect according to the experimental data.
On the basis of data analysis of mean wind velocity, the following findings can be obtained: ⑴ In the region behind the porous fence models of the present experiment (x/H=13), the porous fences have obvious effect on wind reduction and dust control. ⑵ For the case of the gap ratio G/H=0.15, the shelter effect of the velocity distribution is better than other gap ratios, even is nearly the same as for no gap case (G/H=0). ⑶ The data of mean wind speed in different height indicate that if the height is less than fence height, the effect on wind reduction and dust control is rather obvious, and the wind speed is stable comparatively.
The wind reduction coefficient and the wind reduction ratio were respectively calculated in accordance with the formula (2) and (3).
Cui in measuring the experimental data.

If the data was attack data, the specific attack data was made decision.
In order to solve these problems, data pretreatment on attribution reduction in rough set (DP-ARRS) was present.
Data pretreatment on attribution reduction in rough set The related definitions on rough set are discussed in order to apply better rough set to solve data pretreatment.
The data set have 41 attributes and 494021 sample data. 200,000 data was randomly selected from kddcup.data_10_percent to consist of train dataset KddCupTrain.
This is because that for the same complex data sets, the data preprocessing strategy based on the rough set attribute reduction is introduced to ID-HGEP so that the complexity of function mining for network intrusion data sets is greatly reduced and improved the global optimization of GEP algorithm.

Introduction Data Mining is a process to extract implied, unknown, potential and useful information from a great amount of data.
Although the development of Data Mining has only over ten years of history, its development is fairly rapid.
Data mining concepts and techniques [ M ]．San Franciso : Morgan Kaufmann Publishers , 2005
Association rule mining using heavy itemsets [ J ]．Data & Knowledge Engineering , 2007 , 61 ( l ) : 93 一1 13
Evaluation of sampling for data mining of association : ules [ A ] .

Introduction Dimensionality reduction is useful in the face of high-dimensional data.
It’s regarded as one of the effective algorithms for the problem of nonlinear dimensionality reduction, and it has desirable property, mapping high-dimensional data into a single global coordinate system of lower dimensionality.
Generation of New Data.
Although LLE is able to obtain a low-dimensional representation for the fixed set of high-dimensional data points, it’s lacking in generation to new data.
Residual variances of LLE and Self-Regulated LLE on two different data sets.

The relational expression between equilibrium constant of Eq. 1 and temperature could be get according to the related thermodynamic datas [5] including the standard solution free energy change of each component in hot metal.
Owing to the lack of the datas concerning the mass transfer character of chrome molten slag, the datas from dynamic model of instant and persistent contact reactions established by Robertson were adopted, namely km=2.4×10-3 m·s-1~4.6×10-3 m·s-1 [6].
In the stage of final reduction, the chromium ore has dissolved into the slag entirely, the dissolution rate of chromium ore is zero and the reduction rate decreases gradually.
Chen: Diagram and Data Manual in Steelmaking (Metallurgy Industry Publications, Beijing 1984)
Chen: Thermodynamic Data Manual of Inorganic Matters (Northeastern University Publications, Shenyang 1993)

The data was recoreded for each run using the interface displayed in computer.
The data also was recoreded for the rotation speed and the renolyds number was calculated according the equation 2.
The recorded data for the inside torque was then plotted.
Fig. 3 illustrates the degradation resistance obtained from the experiment data and by using the empirical exponential decay function.
Fig. 3: The comparison of the degradation resistance obtained from the experiment data and by using the empirical exponential decay function Fig. 3 shows that the experiment data and the result obtained from the theoretical equation are close, which support the validity of our experiment data.

A vibration reduction solution is presented.
In this paper, a preliminary vibration reduction solution is proposed.
Vibration reduction effect of piles with different lengths is simulated by FEM.
Vibration reduction piles.
The average VR is 110m/s through calculation with the data shown in Table 1.

Thermodynamic data were used to discuss phenomenologically behavior of the reduction stages in terms of Gibbs-Helmholtz relationship as below.
For identification purposes of crystalline phase composition, diffraction patterns obtained were matched with standard diffraction data (JCPDS) file.
Results and Discussion Thermodynamic Consideration: The thermodynamic considerations data for the reduction of MoO3 in CO atmosphere was tabulated in Table 1 and the Gibbs free energy changes due to reaction were calculated.
Reduction Behavior by TPR.
This results are accomplish with the thermodynamic consideration data in Table 1 that indicated the formation of Mo2C is more favourable compared to formation of metallic molybdenum when the excess of CO are introduced to the reduction system.

The result shows that viscous damper has effect on seismic reduction and control.
The maximum value of vibration-reduction ratio is 36.0%, 67.9%, 36.9%.
The maximum value of vibration-reduction ratio is 36.0%.
The maximum value of vibration-reduction ratio is 67.9%.
CANNY2004 DATA-INPUT MANUAL.