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The experimental data showed variations in specific surface area, microstructure by the activated carbon fibers.
An abrupt reduction of specific surface area was observed in the experiments with the ratio of 3:1 of KOH/stabilized PAN-based fiber, being dissimilar with the result of KOH/fiber ratios of 1:1 and 2:1 in the similar experiments.
The abrupt reduction of specific surface areas in the ratio of 3:1 in KOH/stabilized PAN-based fiber was different from the ratios of 1:1 and 2:1.
KOH changed to K2O at 900 � , and subsequently K2O changed to metallic K + ions by reduction process at 900 � .
The abrupt reduction of specific surface areas in the ratio of 3:1 in KOH/stabilized PAN-based fiber was different from the ratios of 1:1 and 2:1.

Although the hyperspectral image data space is endowed with rich spectrum information, with the continuous increase of spatial resolution and spectral resolution, the data to process for each image is also increased dramatically which causes difficulty to data mining of information and data transmission.
The linear dimension reduction methods always depend on a linear projection which maps the input data into the space spaned by the most significant eigenvectors of the covariance matrix.
Then search the neighborhood of in the data set according to the Euclidean distance:
Let be the test sample set and be the reference data set.
In the RX algorithm, only the data covariance matrix is needed without any additional posteriori information.

This method is finally verified by a series of experimental data of three-story building structure made in Los Alamos National Laboratory USA.
Its merits are explained and compared by using a series of experimental data of three-story building structure made in Los Alamos National Laboratory USA.
Because of linear ARMA model can not extract nonlinear data, so the volatility of innovationswill increase when there is nonlinear damage in structures.
A series of experimental data of three-story building structure made in Los Alamos National Laboratory USA are adopted to evaluate the effectiveness of the new method.
Figuerias, et al: Structural health monitoring algorithm comparisons using standard data sets.

The noise of the reducer under different work conditions is measured with the SQLabⅡ data acquisition recorder and the collected data are analyzed through Artemis software.
The noise of the reducer is measured with the SQLabⅡ data acquisition front ends and the data are analyzed by the use of Artemis software.
The noise signals of the two microphones are collected synchronously through the data acquisition recorder.
And the most effective method of noise control is the reduction of the noise at its source. 
The noise of the reducer under different work conditions is measured with the SQLabⅡ data acquisition recorder and the collected data are analyzed through Artemis software.

Comparative analysis of their results shows that the mode shapes of the machine shell are mainly the outward-expanding and inward-contracting vibrations, which provides a useful reference for vibration and noise reduction of the electronic button-sewing machine.
Tab.2 Modal parameters of the shell (/Hz) Set No. 1 2 3 4 5 6 7 Frequency 1436.0 2508.9 3924.6 4346.4 5161.0 5500.3 6066.0 2 Experimental modal analysis 2.1 The testing system The hammering impact testing system consists of the tested object, the acceleration sensor, the force sensor, the hammer, LMS data acquisition front-end and computer data processing module, which is shown as Fig.3.
Fig.4 Testing point arrangement 2.3 Experimental data post-processing After being collected, the experimental data are calculated and analyzed.
The results can provide a useful reference for vibration and noise reduction of the electronic button-sewing machine
Industrial sewing machine vibration and noise reduction technology[D].

The spectral acquisition circuit, data conversion and storage circuit were designed.
The synchronization of the spectral data acquisition, data conversion and storage were achieved using VHDL.
The system overall The spectral data acquisition system is mainly composed of three parts following as: optical system, the spectral acquisition module and data analysis module.
The data conversion and storage.
The data conversion and storage circuit is shown in Fig. 3.

Rough Set theory is a new method to deal with the data.
The application of Rough Set theory could include machine learning, data mining, process control, data analysis, etc.
When the amount of data is limited and the analysis is in need, such as diamond polishing data mentioned above, Rough Set theory is an ideal way to carry out the analysis.
Data Process The initial data is represented as knowledge system, namely information table.
With the restriction of limited data, some useful conclusion has been drawn.

Efficiency of water curtains Zdeněk Kadlec, a *, Miloš Kvarčák22,b 1VŠB - Technical university of Ostrava, Faculty of Mechanical Engineering,17. listopadu 15/2172, Ostrava – Poruba, Czech Republic 2 VŠB - Technical university of Ostrava, Faculty of Safety Engineering, Ostrava, Lumírova 13/630, Ostrava - Výškovice, Czech Republic azdenek.kadlec@vsb.cz, bmilos.kvarcak@vsb.cz Keywords: water curtain, nozzle, fire, thermal camera, thermal flux reduction.
Experiments were prepared and realised with a goal to determine the radiant heat flux intensity reduction of fire passing through a water curtain in VŠB, TU – Ostrava.
Emissivity of the flame was determined by comparing these data.
Selected thermal image and its adequate histogram are shown in Figure 2 and the subsequent evaluation of the data obtained is summarized in Table 1.
According to literature [1,2,7], Heat flux calculations were made simply for a closed system by using Equation (7): (7) where: e1,2 … emissivity system, - s … Stefan-Boltzman constant, W.m-2.K-4 T1 … flame temperature, K T0 … ambient temperature, K Having regard to those factors, the resulting radiant heat flux intensity reduction of fire passing through a water curtain have been regulated toward the safety side.

In order to validatesimulation output, all input data are checked manually.
The data, which analyzed bythe MANOVA of SPSS, are presented in Table 4.
The simulation data in condition ofLT=3were chosen for further discussions.
The simulation data in condition of K/H=4were chosen for further discussions.
The simulation data in condition of MCD= 2were chosen for further discussions.

In addition, the experiment found that the wind velocity reduction rate is affected by the installation distance of the wind fence.
The reduction in wind velocity brings micrometeorological changes (wind velocity and wind direction) to the protected area.
The number of measurement data was 1024 each time, and measurements were made three times and the mean value used.
The wind velocity reduction effect was highest (50%) at a porosity of 40%.
Overall, the wind velocity reduction rate was higher where the wind fence was installed than where it was not.