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Strengthen the network loss management, implementation of loss reduction measures, has become an important power supply enterprise content management one.
The Theoretical Calculation of Net Loss Distribution network is designed as closed-loop, the operation mode of open-loop characteristics, the actual operation of the distribution network mostly radial, the detailed information of each load point and component data is should be collected and collated in the distribute network ,but it is extremely difficult, also a lack of trend analysis for the load required data.
To ascertain the reasons for lifting line loss, power loss reduction and management measures developed, in net loss management departments, data would be collected carefully, want to give an accurate and timely data and statistics[3]
Reactive power compensation of power supply enterprises and users combined in the power compensation. 5) Loss Reduction and regulator combined to derogate, account regulator taken, especially for long lines, many branches, load dispersion, low power factor of the rural distribution network loss reduction is the main purpose
[3] QIN Xiaojun, Optimal Scheduling Based on Power Loss Reduction, J.

To use data mining technology, firstly, we must ensure that the historical data adapt to data mining, which needs data preparation, that is data preprocessing.
Data preprocessing includes three parts: 1) Data selection: Data selection is to collect the internal data and external data related to the information of load,and to choose the data applyed to data mining.Data selection, including attribute selection and data sampling is to select data fields and tuples in the data source.
Data integration is to put datas into unique data store[3].
Raw data through data selection, cleaning, integration and conversion generate the data mining library,to prepare for data mining.
It is denoted by IND (P) Reduction and Relative Reduction.

This process may be realized by customer behavior data clustering.
Then, we get the reduction table of the customers’ data analysis and decision.
The data stored in the server cannot meet our requirements for data analysis, therefore, we need to preprocess these data, and namely, the data will be extracted according to our requirements and will be stored in our database used to analyze the data.
This process may be realized by customer behavior data clustering.
Then, we get the reduction table of the customers data analysis and decision.

Yeager et al. [1]-[4] studied the reaction kinetics in the oxygen reduction reaction to found that the two-electron reduction and the four-electron reduction goes simultaneously.
And the set values of the parameters are reasonable, for the data from the calculation are within the effective range.
The simulation data shows that the bond between O1 and Pt breaks when the H3 is close to O1.
Electrocatalysts for O2 reduction, Electrochim Acta. 29 (1984) 1527-1537 [2] Miah R, Ohsaka T.
Recent advances in the kinetics of oxygen reduction.

Reduction in Majority-Carrier Concentration in Lightly-Doped 4H-SiC Epilayers by Electron Irradiation Hideharu Matsuura1,a, Hideki Yanagisawa1, Kozo Nishino1, Takunori Nojiri1, Shinobu Onoda2,b, and Takeshi Ohshima2,c 1Osaka Electro-Communication University, 18-8 Hatsu-cho, Neyagawa, Osaka 572-8530, Japan 2Japan Atomic Energy Agency, 1233 Watanuki-machi, Takasaki, Gunma 370-1292, Japan a matsuura@isc.osakac.ac.jp, bonoda.shinobu@jaea.go.jp, cohshima.takeshi20@jaea.go.jp Keywords: Electron irradiation, Al-doped 4H-SiC, N-doped 4H-SiC, Reduction of acceptor densities, Reduction of donor densities, Radiation damage.
The mechanisms for the reduction in the hole concentration in lightly Al-doped p-type 4H-SiC epilayers by electron irradiation as well as in the electron concentration in lightly N-doped n-type 4H-SiC epilayers by electron irradiation are investigated.
Introduction By comparing electron-radiation damage in p-type 4H-SiC with that in p-type Si [1,2], it was found that the reduction in the temperature-dependent hole concentration, , in Al-doped p-type 4H-SiC by electron irradiation was much larger than in Al-doped p-type Si.
By fitting the curve to the experimental data, and were determined to be and [2].
By fitting the curve to the experimental data, the values of and were determined to be and , respectively.

Based on the current status of energy conservation and emission reduction in coal-fired power plant in China, this paper strives to build a more systematic and scientific evaluation index system for energy conservation and emission reduction in coal-fired power plant to assess the different level of energy conservation and emission reduction in power plant, so as to facilitate the effective management of energy conservation and emission reduction in coal-fired power plants[2].
But the lack of automatic continuous monitoring devices in the power plant makes it difficult to obtain accurate datum, so we exclude the index of mercury and its compounds, COD, BOD5 and ammonia nitrogen.
Evaluation model of coal-fired power plant energy conservation and emission reduction Taking example by the cleaner production assessment rating score calculation， we establish the energy conservation and emission reduction evaluation model, which is showed as below[5]
Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan[J].
Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan[J].

The reduction degrees of FeO and Cr2O3 are 68.06% and 52.24% respectively, and comprehensive reduction degree is 58.52%.
However, the data of july to november showed, using the relative lower proportion of fine ore, the greater the number of using pellets, the more technical indicators were attained than fine ore were brought into the furnace directly.
Table 8 The chemical composition of finished pellets Name TCr TFe MCr MFe TC Percent(%) 33.50 22.04 17.50 15.00 2.90 Chrome concentrate pellets reduction used to express the reduction degree of its formula: (10) (11) (12) Formula: MFe——Metallic iron content of reduction kind, %; TFe——Total iron content of reduction kind, %; MCr——Metallic chromium content of reduction kind, %; TCr——Total chromium content of reduction kind, %; ——The reduction degree of iron, %; ——The reduction degree of chromium, %; ——The comprehensive reduction degree , %; Brought the table 5 data, concluded: =68.06%； =52.24%； =58.52%。
Table 9 The mass balance of grate-rotary kiln system Entry Output Item Unit(kg/min) Item Unit(kg/min) Green ball Dehydration loss Ash and bulk materials loss Iron reduction loss Chromium reduction loss Oxidation of coke powder loss Finished pellets 631.31 According to the law of conservation of mass, the material entry should be equal to the output item, then: (16) Brought the data and calculated kg/min, amounted green ball 59.23t/h.
New technology of chrome ore pre-reduction[J].

The validity of the proposed approach is demonstrated using electronic stock data extracted from the financial database maintained by the Taiwan Economic Journal (TEJ).
Data Extraction In the present study, the performance of the proposed stock selection mechanism was evaluated using electronic stock data extracted from the TEJ database [11] over the period extending from the first quarter of 1998 to 2/27/2009. 4.
Step 1: Data collection and attribute determination In each quarter, the 53 attributes of each specified stock item within the TEJ database are collected automatically, and the user is given the opportunity to modify the choice of financial ratios used for attribute reduction in the initial GRA process, to select a new GRA model for attribute reduction purposes, and to modify the decision-making attributes used to filter the stocks in the lower approximate set.
Step 2: Data preprocessing Having collected the relevant financial data for each quarterly period, a basic pre-processing operation is performed to improve the efficiency of the GRA attribute reduction process.
Data collection and attribute determination Start Data preprocessing Attribute reduction using GRA model Fuzzy C-means clustering Selection and filtering of feasible stocks Fund allocation Renew the GRA Method No Yes Yes No Continue investment?

The makeup of units of simulation platform The final aim of simulation platform is realizing sharing analysis data among of different CAE software's previous and post processor and using the model repeatedly after one model is built, whose digital simulation model is based on the geometry features and which making use of the simulation software's data analysis interface and redevelop technology.
The key segment of simulation tool layer of platform lies realizing the integration and coordination of simulation data to guarantee the integrity, being latest and track ability of data during the whole simulation course.
The strategy of simulation is to build the perfect model and obtain the most accurate simulation result in the shortest time, during which the different sophisticated commercial software which fit this stage best is used in different stages and the data transformation in different stages is realized with the special interface of the software themselves.
Furthermore, the leading-in of PDM guarantees the correct data is transferred the exact persons with the correct way[4].
CAE technology supporting noise reduction design of electric locomotive wheel A.

Most recently, wavelet analysis stands out to be a powerful tool for signal processing including data compression, data transmission and denoising.
The data are acquired spirally at the sampling interval of 1 mm.
Fig. 7 shows a sampled data of thickness.
SMA, Gauss WMA and Haar WT are applied on that sample data to study their performance of noise reduction.
In other word, the noise account about 10% of measured data.