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Moreover, for training the sample data mingled with outlier data in the relatively class of sample, it often can not improve the classification capability.
Data preprocessing.We put a pedal on the stair of the bus.
Fig.1 The system frame diagram of data gathering Feature extraction.
Because the max value of the A/D is 1024, every data can be divided by 1100.
Of SIAM International Conference on Data Mining，Lake Buena Vista, FL, USA,2004

The data collection rate was automatically set by the controlling program supplied by SETARAM to store the maximum number of data points.
Successive reduction followed by carburization.
Reduction.
This would correspond to the complete reduction of WO3 to WO2 (f = 8.35), indicating that at relatively low temperatures reduction of WO2 to W start before WO3 is reduced before the reduction of WO2 to W takes place.
According to thermodynamic data [32, 33], decomposition of methane into carbon and hydrogen is possible above 823 K.

Data collection The secondary data including their energy use, energy generated and implemented energy efficiency improvement measures were collected from power plants case study.
Emission reductions due to the reduction in no-load losses only are claimed.
The calculation results for each measure are presented in terms of the GHG reduction as shown in Eq. 2.
Intensity of energy saving and emission reduction The results of ESI and ERI displayed the most effectiveness in the same measure of TF01.
To quantify the potential of energy saving and emission reduction, the secondary data of power plants case study were collected.

The temperature 1150°C was chosen on the basis of preliminary reduction experiments in the muffle furnace and according to the data of the thermodynamic analysis [11-12].
However, the iron reduction was incomplete.
For complete reduction of iron, it is needed to increase either temperature or time of reduction.
Thereby, only increase in reduction time is possible to perform the complete iron reduction.
Phase composition of ore after reduction (Fig. 2).

At the same time, it is proved that the attribution reduction is equivalent to the attribution reduction based on the positive region.
However, in practical application due to measuring data error, restricting on access to knowledge, We usually face with the incomplete decision table[2].
At the same time, it is proved that the attribution reduction is equivalent to the attribution reduction based on the positive region.
Thus the attribute reduction is .
Approximation reduction in inconsistent incomplete decision tables[J].

The paper presents the problem of vibration reduction in designed discrete mechanical systems.
The passive vibration reduction based on the synthesis method by using the Synteza application.
Entering the dynamical properties of the system searched By confirming the assumed data, the values of inertial and elastic parameters of the fixed branched system, presented in the figure, are obtained (fig.4).
The result of passive vibration reduction performed Conclusion The paper presents a passive vibration reduction based on the synthesis method by using the Synteza application.
Dzitkowski, Reduction vibration of mechanical systems, Applied Mechanics and Materials. 307 (2013) 257-260

With the anti-shear parameters reduction, the nonlinear strength reduction FEM model of slope turns to unstable status and the numerical non-convergence occurs simultaneously.
Efficient and accurate, the strength reduction FEM is feasible to examine slope stability and analyze slope movement patterns.
This can be determined either by statistical method, which analyses the correlation between the observed loads and deformation data, or deterministic method, which utilizes information on the loads, properties of the material, and physical laws governing the stress-strain relationship.
At that point, the limit reduction factor obtained based on c-φ reduction algorithm can be regarded as equal to stability factor obtained using limit equilibrium method[8], the method can be expressed as Eq. 2, in which the F is the reduction factor, also is equivalent to the safety factor.
[5] Szostak-Chrzanowski, A., Massiéara, M., Chrzanowski, A., Whitaker, C and Duffy, M., in: Verification of design parameters of large dams using deformation monitoring data-potentials and limitations[J].

Symbolic aggregate approximation is data dispersed dimension reduction method.
Time series data mining is an important research branch of data mining, has a wide application value.
SAX methods in the study of time series similarity is a transformation function with many advantages, such as high compression ratio, retain the local information of the data, effective implementation of the data dimension reduction, solve the problem of high dimension.Have higher tolerance to noise data, the segmentation process is realized to eliminate noise and implements the data smoothing processing;Visual intuitive concise;Multi-resolution characteristics, etc.Therefore, in the time series data mining in the many fields have a wide range of applications[9].
Generally, the dimensions of the new sequence are far less than the original time dimension data sequences, also achieved the purpose of dimension reduction.
There are 100 sample series ECG data set, is divided into two categories, each time sequence of length 96 （http://www.cs. ucr.edu/~eamonn/time_series_data/）.

In order to make the system equation have the consistent results with test data, R.
Model Reduction.
From Eq.13, we can obtain the following equation: (14) So, the reduced dynamic stiffness matrix of satellite structure can be expressed as follows: (15) After the dynamic reduction, the model can be updated with measured response data.
The vibration test data is used to update its dynamic model.
Ewins, “finite element model updating using frequency response function data-1.

The 30-day operation data indicated that 10mg/L 2,6-DCP can also effectively reduced the sludge production about 17.9% with the COD removal efficiency decreased about 6.99% and nitrification inhabitation was about 30.91%.
In our previous study, 2,6-DCP was selected as the metabolic uncoupler for sludge reduction, its distribution variation and its effect on sludge reduction were investigated[23].
This showed that the sludge reduction effect of 2,6-DCP depended greatly on pH.
Fig.2 Effect of 2,6-DCP on sludge reduction and nitrification inhibition Fig.3 Reduction of NH4-N, COD removal efficiency and sludge yield and nitrification inhibition Fig. 2 showed the effect of 2,6-DCP concentration on the reduction of sludge yield and nitrification inhibtion.
These 30-day operation data in Fig. 3 had further confirmed that 10 mg/L 2,6-DCP can effectively cut down the sludge production.