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The data mining process including four basic steps, as shown in Fig.1: question definition, data preparation and pretreatment, data mining, result explanation and confirmation.
The magnanimous data is accumulated in electric power industry process, and the massive knowledge exist in the historical data.
The rough set method can process each kind of data, including the incomplete or imprecise data, as well as the data of numerous variables, and using the data it can also produce the model which consists of simple concepts and is easy to operate, and produce precise but easy to inspect and confirm rules.
The mining of data connection rules discovers useful connection or related relation between mass data item sets.
Turbine Classification Rules Based on Rough Set Reduction Algorithm Proposed the introduction of the rough set data mining prediction and diagnosis of turbine failure, to overcome the traditional expert system knowledge acquisition bottleneck problem.

An Experimental Study on the Characteristics of Chemically Synthesized Nano-Cement for Carbon Dioxide Reduction Byung-Wan Jo1,a, Ji-Sun Choi2,b, Seok-Won Kang3,c Professor, Dept. of Civil Engineering, Hanyang University, Seoul, Korea.
a joycon@hanmail.net b opt506@naver.com c hastally@nate.com Keywords: CO2 reduction, Chemical synthesis, Alkali activation, Compressive strength, Highly functional construction material Abstract .Cement is becoming a principal factor in air pollution because of the creation of CO2 during its manufacturing.
First of all, based on the selection of the “Kyoto protocol” to reduce greenhouse gases in order to prevent global warming, a practical plan for the reduction of CO2 and greenhouse gases is urgent, as the results are still insufficient.
Arteaga, “Determination of kinetic equations of alkaline activation of blast furnace slag by means of calorimetric data”, J Thermal Analysis 52, 1998, pp. 945-955

According to the production data of a rolling H-beam factory, the FE model of hot continuous rolling process of H-beam is built.
In which ——Datum deformation resistance, that is resistance in condition of =1000℃, and s-1 ——the degree of deformation (logarithmic strain); ——the deformation speed; , ——the regression coefficient, whose value depends on the steel grade For the 25 steel, =150.6MPa,,,,,,。
Because of different reduction of each pass, metal flow hassubtle changes, but the trend is similar.
In this paper, It mainly analysed that the reduction of web is not varied at 21.36%, when the metal flow of web changes , the metal flow will change.When the web reduction is 21.25%, the X, Y, Z direction node displacement contours are respectively shown in Fig.4 (a), 4 (b), 4 (c).
That is, the web reduction increases and the the free extension of flange increases.

The corresponding data are collected in Table 1.
On cathodic scanning, compound 1 exhibits one reversible reduction wave at -0.66 V versus Calomel and the second irreversible reduction wave at -0.89 V.
Compounds 5 also exhibit two reduction waves.
The optical band gap (Eog) levels, the lowest unoccupied molecular orbital (LUMO) and the highest occupied molecular orbital (HOMO) of these compounds were determined from their electrochemical data and their absorption data.
TABLE 1 OPTICAL AND ELECTROCHEMICAL PROPERTIES AND BAND GAP DATA OF COMPOUND 1 AND 2 Compound λonset(nm) E0g(eV) LUMO(eV) Ered(eV) HOMO(eV) 1 5 543.93 581.40 2.28 2.13 -3.74 -3.80 -0.66 -0.60 -5.93 -6.02 Eog= 1240/λabs onset

A discretization method of Continuous attributes based on rough set Tang Xiaokang1, a,Zhang Xuezhi1, a, Zouqiong1, a,Wei Youguo1, a, Cao Chengjun2, b 1Wuhan Mechanical Technology Colledge, Wuhan , China 268202 forces,Tianshui, China Keywords: The rough set ; Discretization; Conditional entropy; A decision table Abstract.when the rough set be used to deal with Knowledge representation system, the data in decision table should be expressed in discrete data, if some conditions or decision attribute is continuous value, which should be discrete Before process.Discretization is not specific data processing only by rough set theory , people have conducted extensive research on discretization problem before the rough set theory put forward , and Made a lot of progress ,but the discretization technique is can not be completely in common used in every subject, different areas have their own unique requirements and handling .This paper proposes a discretization algorithm based on regular
As a new mathematical tool, Rough set theory can effectively deal with the fuzzy and imprecise problems, mining and processing the data in the complex system information。
(4)Coding the breakpoint of condition attribute value after discretization by arabic numeral from small to large . 2.2example analysis Adopt example in reference [4] to experiment as shown in table 1, the example has 11 conditon attributes and 1 decision attribute, 21 groups data altogether.
data in table 1as the training sample , other 6 groups as test data, discrete the continuous attribute by the algorithm In this paper, obtain ,,the breakpoint number of every condition attribute which finally determined by the algorithm In this paper and the discretization results are shown in table 2, obtain the minimum reduction after reduce by the method adopt in reference: Table 2 The discretization results Condition attribute K Discretization interval 1 2 3 4 S1 0 [0.2,0.8] S2 2 [0,0.3) [0.3,0.6) [0.6,0.9] S3 0 [0,0.9] S4 1 [0.1,0.55) [0.55,1] S5 3 [0,0.25) [0.25,0.5) [0.5,0.75) [0.75,1] S6 0 [0,1] S7 3 [0,0.25) [0.25,0.5) [0.5,0.75) [0.75,1] S8 1 [0,0.45) [0.45,0.9] S9 3 [0,0.225) [0.225,0.45) [0.45,0.675) [0.675,0.9] S10 3 [0,0.25) [0.25,0.5) [0.5,0.75) [0.75,1] S11 1 [0,0.5) [0.5,1] Feedback information with decision attribute of entropy condition attribute which based on regular conditional entropy of continuous attribute discretization algorithm, can
Analysis on attribute reduction strategies of rough set[J].

It is important to note however that such microstructures are not uniform, although detailed experimental data concerning the dependence of the deformation microstructure on the crystal orientation are limited.
Microstructures in: (a) S region, 90% reduction; (b) B region, 90% reduction; (c) S region, 90% reduction (the high angle subgrains are highlighted); (d) 98% reduction sample.
These data show a small increase in the fraction of very low misorientations (from 2° to 3°).
One possibility is that this increase is related to the required minimum misorientation boundary definition threshold used in EBSD data analysis.
Further investigation of this will require comparison of EBSD data with transmission electron microscopy data from regions of similar crystal orientation.

Investigation on vibration reduction effects of a new vibration isolation module for pier foundation Zhaoxia Ma 1,2, a, Weiping Xie 1,a and Guangcai Yan3,a 1 School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China 2Hubei University of Technology Engineering and Technology College, Wuhan, China 3 Zhongnan Hospital of Wuhan University, Wuhan, China a zhaoxiama@foxmail.com Keywords: Vibration isolation module; vibration isolation; peak acceleration; vibration level Abstract.
The simulation and measured results suggest that vibration reduction effects are satisfactory.
The vertical, radial horizontal and tangential horizontal vibration levels of each measuring point under various working conditions were calculated and the vibration reduction effects of the vibration isolation module were evaluated.
The vibration levels can be calculated from the measured and numerical simulation calculated acceleration data of each measuring point.

Electrochemical characterizations demonstrated that MnCoNiZnCuPBA@NCA exhibited superior oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) performance, as evidenced by its high current density, low overpotential, and excellent Tafel slope.
In the configuration of Zn-air batteries, the cathode plays a critical role in the electrochemical processes, including the oxygen reduction reaction (ORR) during energy release and the oxygen evolution reaction (OER) during recharging.
The Koutecky–Levich (K–L) equation was used to calculate the electron transfer number using LSV data collected at different rotational speeds (400, 900, 1600, 2500, and 3600 rpm).
Both materials demonstrate good reversibility characteristics or quasi-reversibility, as shown by the symmetry between the oxidation and reduction peaks.
This indicates that these materials follow the 2-electron oxygen reduction reaction mechanism as described below [4].

The hardness of the HSR and LSR specimens at the reduction of 23%.
Effect of rolling reduction on static recrystallization.
The effect of reduction on the kinetics of softening is demonstrated in the plot of lnln(1/(1-Xv)) versus lnt of HSR specimens at reductions of 8%, 23% and 30% (shown in Fig. 6).
It is noted that below the turning point, the exponent n1 is higher, while over this fraction, a much lower exponent n2 is required to fit the experimental data.
When the reduction is increased, the value of n1 increases; while the average value of n2 is around 0.4 for all three reductions.

The results are considered for the DIC analysis and achieved results in terms of SS curves from the DIC analysis compared with the experimental data.
The results were observed to be within a range of 5% and granted reliable data.
The maximum thickness reduction was determined to be 0.377 mm close to the tool extraction region.
It proves that as the forming depth increases, the thinning reduction also increases and vice versa.
Besides, the thinning reduction was identified to be more in the cone frustum part than that of the pyramid frustum.