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Then, a GCSC evaluation model is proposed based on Data Envelopment Analysis (DEA).
Data Envelopment Analysis (DEA) is an effective non-parametric statistic evaluation method.
Pollution reduction.
Experiment Data.
The experiment data are collected using Delphi method, which is show in the below Table 2.

Dependability of the relative sulphide oxidation rate from oxidation-reduction potential (versus Ag/AgCl).
Table 1 contains data on biocake mineralogy in the feed reactor 1/5 of BIO-1, where the potential was 600mV and in the feed reactor 1/2 of BIO-2, where the potential was 540mV.
These data confirm the impact of oxidation-reducing potential on the sulphide minerals oxidation rate.
Data in the table 1 fully comply with data on Fig.1.
These data clearly demonstrate the impact of oxidation-reduction potential on the oxidation rate of sulphide minerals.

By using the data mining method to preprocess the communication data, we reduce the amount of data and shorten the data process time.
So the function of the data preprocess include removal of erroneous data and data conversion.
The aim of dimension reduction is to get rid of the attributes which have nothing effect with our data mining result and improve the speed of computation time.
In the process of dimension reduction, it is usually used attribute subset selection to get the proper subset for data mining.
The algorithm of minimal subset discovery is used to discover the optimal subset in the process of data dimension reduction.

Noise reduction by using composite plate C.
Due to the limitation of noise control at the source, various noise reduction methods have been developed.
Results The noise reduction by using panel silencer is to reflect the sound to the upstream as shown in Fig. 2.
This also shows that the noise reduction is totally attributed to the sound reflection.
Conclusion The general conclusion of this study is that the theoretical prediction of various reinforced panels used for duct noise reduction at low frequency is validated by experimental data.

However there are a lot of data [19-21] that the strength of concrete can be significantly reduced with humidity changes.
So, the Rebinder’s effect of adsorption reduction of strength was observed even at negative temperatures.
Particularly high strength reduction is at t=+(40-60)0C.
The effect of adsorption reduction of strength is greater with increasing of microsilica and superplasticizer contents.
Myhra, Ice abrasion data on concrete structures – an overview state of the art, Trondheim (2007) 50-56

Weight reduction.Initial and final weights were measured and percentage of weight reduction was calculated to observe the effect of ultrasonic and sonothermal on weight reduction of sample.
Results were analysed with Mastersizer 2000 software, using a Mie scattering model for the analysis of the raw data.
A gradual decreasein final weight with a gradual increasein the percentage of weight reduction was observed in Fig. 1.
Sonothermal Treatment.The percentage weight reduction can be increased by heating the raw POME.
Whatever the case, the weight reduction increases as the sample is exposed to the ultrasonic irradiation.

Problem statement There are quantitative differences in the experimental data presented by a number of authors [2, 4, 6, 8, 11, 15, 19] as to the effect of elevated temperatures on the characteristics of the mechanical properties of heavy concrete.
The research results The experimental data obtained from the first short-term heating of concrete prove the existing in literature generalized dependences of concrete strength during axial compression on elevated temperature value and duration of its effect.
Fig. 1 and 2 show the comparison of newly and previously obtained experimental data of strength characteristics of various strength concrete classes.
The results prove the data provided by the authors mentioned and signify of the maximum reduction of concrete strength during the first short-term heating up to +90°…+100°C which can make 20-35% in compression (Fig. 1).
Experimental data: - [8] - [13] - [4] - [15] - [17] - [2] - [19] Theoretical values: – calculations according to formulas [4] – according [22] 1, 3 – short-term heating 2, 4 – long-term heating (Т = 90 days) long-term heating short-term heating Fig. 2.

The oxide thickness was estimated using ellipsometry and CV data.
Fig. 2 shows the density of interface states near the SiC conduction band edge extracted from CV data.
For comparison, TDRC data for the samples depicted in Fig. 1 is presented in Fig. 3.
Fig. 3b) shows similar data for the sample exposed to potassium.
The plot is extracted from the data in Fig. 3.

Arithmetic average, wavelet noise reduction and low-pass filter combination of data processing is used to overcome the very low SNR.
The computer obtains many sets of data of all points, and then it processes the data to obtain the temperature value.
After averaging, the data are processed using wavelet modulus maxima reconstruction noise reduction filter.
a) data of untiStakes intensity b) data after arithmetic average c) data after wavelet de-noising Fig 3 Data processing results After the arithmetic average and wavelet noise reduction, we obtain the effective sampling data of each point.
System testing data is basically consistent with the reference data.

Mechanical Properties of Anode Layer of Solid Oxide Fuel Cell after Reduction Zhao Xianga, Wang Fenghuib Department of Engineering Mechanics, Northwestern Polytechnical University, Xi’an 710129, China ahope_888@mail.nwpu.edu.cn, bfhwang@nwpu.edu.cn Keywords: Solid oxide fuel cell. nanoindentation. work of indentation. reduction.
In this study, the work of indentation is used to determine the anode layer of SOFC after reduction.
Analysis of nanoindentation data Oliver Pharr method.
Fig.2 Schematic of testing sample Results and discussion Fig.3 presents the experimental data for Ni-YSZ/YSZ for indentations made to peak load of 200mN.
Fig.3 Experimental indentation Fig.4 Morphology of indentations load-displacement curves Table 1 Nanomechanical experimental data for Ni-YSZ sample Test point WS (mNnm) WT (mNnm) WE (mNnm) hf/hm HOP (GPa) HW (GPa) EOP (GPa) EW (GPa) Ni-YSZ A1 165887 118664 15704 0.712 3.98 3.56 204.02 135.22 A2 162828 113707 15204 0.814 3.88 3.50 201.57 130.68 A3 156936 109679 14573 0.781 3.78 3.38 197.39 127.28 Conclusions Nanoindentation tests were carried out for the half cell structure of SOFCs after reduction.