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Rough set theory is a new tool of data analysis to deal with imprecise, incomplete and uncertainty.
The fault tolerance and generalization of RS are not strong enough and the limitation of quantify the data are the advantages of SVM as complementary.
The system offers its two innovations: first, reducing data of input side of SVM by attribute reduction of the data with RS process in order to improve the operating speed of system.
The large mount of data need to be computed in facial expression recognition and the reduction the classification accuracy caused by the data of noise.
In this paper, RS-SVM has been employed in classification of facial expression recognition due to the good anti-jamming and reduction of data dimensionality and computation.

Based on the analysis of its components, Carbothermal Reduction Nitridation (CRN) method was selected to synthesize eco-friendly composite material.
Here, graphite (obtained from Beijing Chemical Reagents Company, China) was used as reduction agent.
Table 2 listed sintering temperature, holding time, the content of reduction agent and the amount of black clay, respectively.
At 1450°C, principal reactions in this system proceeded according to the following equation: FeTiO3+3.3C+0.35N2=Fe+TiC0.3N0.7+3CO (1) Fe3O4+SiO2+6C=Fe3Si+6CO (2) 3Fe+SiO2+2C=Fe3Si+2CO (3) Based on thermodynamic data form literature [6], Gibbs free energy (∆G 0) was calculated.
Practical Data Handbook of Inorganic Thermodynamics (Metallurgy Industry press, Beijing, China, 2002), p.26 1 Corresponding author.

Mining test in data of tangshan iron&steel shows that the method is effective in practical application.
The study also distills the eigenvalue of parameter changes, which come to be the data source for the knowledge and information database of blast furnace expert systems, from field investigation and statistical analysis of historical data of blast furnace operation[1].
The Hierarchical Cluster Analysis procedure is limited to smaller data files (hundreds of objects to be clustered) .
The K-Means Cluster Analysis procedure is limited to continuous data and requires you to specify the number of clusters in advance, it has the ability to save distances from cluster centers for each object.and it has the ability to read initial cluster centers from and save final cluster centers to an external SPSS file.Additionally, the K-Means Cluster Analysis procedure can analyze large data files.This paper uses K-Means Cluster Analysis[2]. 1 Select number of clusters Cluster analysis for small samples of data .When the analysis results and the actual data is consistent Statistics All data.The paper selects 1102 samples.
Factor analysis is often used in data reduction to identify a small number of factors that explain most of the variance observed in a much larger number of manifest variables.

The work productivity and perceived fatigue data were recorded.
Work productivity data were recorded at 30-minute intervals.
Statistical analysis was carried out to analyze data derived from the experimental task.
The data was tested for normality prior to analysis using Shapiro-Wilk test.
The work productivity data were then analyzed to investigate the effect of production standard times on work productivity.

Data from Houston Metropolitan Area, TX are used in this paper.
In the next section, data characteristics in Houston Metropolitan Area are described.
Wavelets are used in data compression, image and signal processing, data de-noising and many other fields.
Data from 2000 to 2007 are used to build the HMM model.
Data from 2008 to 2009 are for validation.

The test is divided into a rubber content of 0%, 5%, 10%, 15% and 20%，under the conditions that the SBR content 5% of cement mass, study the ratio of tension and pressure and fracture pressure performance of latex rubber modified concrete, and studies the noise reduction properties of concrete, test ultrasonic propagation velocity in the concrete.
Tests show that rubber latex can improve the interface effect between rubbers and cement base material, improve the bonding strength between the two, improve the ratio of tension and pressure and fracture pressure ratio performance of concrete, and reduce the propagation velocity of ultrasonic in concrete, enhance the noise reduction performance of concrete.
It also shows that the elastic is good material, the ultrasonic velocity in this kind of material is smaller, the noise reduction performance is better, and the ultrasonic velocity in concrete can be used to indirectly measure the concrete performance of noise reduction, noise [2].
In order to facilitate comparison, the unified test adopts the ordinary concrete mechanics performance test method standard "(GB/T50081-2002)[4] of the provisions of relevant test operation, the test data are shown in Table 1: Table1 Basic Mechanics Performance Index of Concrete Specimen Number Rubber Content（%） Compressive Strength Tensile Strength Flexural Strength Strength Increment (Mpa) (%) Strength Increment (Mpa) (%) Strength Increment (Mpa) (%) DC MDC 0 60.35 14.1 5.25 15.6 6.63 21.3 68.88 6.07 8.04 NRC MRC 5 55.42 11.5 4.86 14.8 6.37 19.0 61.79 5.58 7.58 NRC MRC 10 49.61 10.3 4.49 15.1 5.83 23.3 54.74 5.17 7.19 NRC MRC 15 46.45 7.4 4.29 14.7 5.67 21.2 49.88 4.92 6.96 NRC MRC 20 40.79 12.3 3.88 20.9 5.11 28.0 45.81 4.69 6.54 We can see from Table 1, addition of latex, improves compressive strength, splitting tensile strength and bending strength
Anti noise and noise reduction performance of Rubber cement concrete [J] Yangtze River.2010, 41 (10): 71-74

Research on the application of TLD to viaduct box girder bridges for vibration and noise reduction Xu Yan1, a, Zhenyu Lei1, b* 1 Institute of Railway and Urban Mass Transit of Tongji University, Shanghai 201800,China achys4444@126.com, bLeizhenyu@126.com Keywords: TLD, box girder bridges, vibration and noise reduction Abstract.
Record the vibration data within 5 seconds, and the number of data is 1000.
Results and Discussion Vertical Vibration Reduction.
Lateral Vibration Reduction.
Noise Radiation Reduction.

Based on the textile industry, the author utilized the regression analysis theory to conduct the regression analysis of wastewater reduction intensity to capital asserts investment, wastewater reduction intensity to the global market share of textiles and the Revealed Comparative Advantages Index (RCA )respectively, and finally drew a conclusion that the correlation between cleaner production investment and wastewater reduction remains positive, so does the correlation between wastewater reduction intensity and the global market share of textiles.
It is the accurate reflection of the internal correlation between wastewater reduction and global market share. 3.
The scatter graph of index of wastewater reduction intensity and RCA of Chinese export textiles is expressed as Fig. 3.
The wastewater reduction intensity is also directly proportional to the global market share of textiles.
The improvement of Chinese textiles competitive power in the globe is stimulated by cleaner production References [1] Chib,s.and Greenberg,E.(1998):Analysis of Multivariate probit Models,Biometika,85,347-361 [2] Charles J.Stone: A Course in Probability and Statistics,China Machine Press,2003 [3] John A.Rice: Mathematical Statistics and Data Analysis, China Machine Press,2003 [4] Michael H.Kutner:Applied Linear Regression Models,Higher Education Press,2005 [5] HongBin Xie ,ZhaoDe Liu, Wen Chen: Resources and Environment in the Yangtze Basin, 2004(7)

Grey theory, developed originally by Deng[2] , including systems analysis, data processing, modeling, prediction, decision making and control, is a truly multidisciplinary and generic theory that deals with systems that are characterized by poor information and/or for which information is lacking.
That is: (9) (10) Test the GM (1,1) (11) , (12) , (13) Therefore C (posterior inferior) and P (small error possibility) can be described as Eq.14: (14) Data sources and process The related statistical data used in this study are all adopted from China Statistical Yearbook (CSY, 2002-2012) [6] and China Energy Statistical Yearbook (CESY, 2002-2012) [7].
Carbon emissions factors and fractions of carbon oxidized Item Coal Oil Natural gas NHV 20908 41816 38931 CEF 26 20 15.3 COF 0.99 1 1 2.7905 2.1465 1.6421 Confirm GDP and CE in based period By calculating the correlation data, we get the parameters in the prediction model of the GDP and the energy consumption, just as showed in Table 3.
Due to the incomplete data of the energy consumption structure of different provinces in 2000-2012 and the minimal impact of different proportion in every primary energy, we will use the average proportion of total energy consumption of different provinces and cities in 2000-2012 to replace its average proportion of carbon emissions.
Summary By using the emissions reduction quota allocation model based on marginal abatement cost curve, and minimizing the total emissions reduction costs as the goal, we calculate each province’s costs of carbon dioxide emissions reduction, and what’s more, we also give an optimal scheme under the reduction target in carbon intensity which the Chinese government has proposed in 2009.

These resulted in a considerable reduction in the data and a reduction in the computational time to perform correlation.
However, this approach causes computational difficulties in the application of the tremendous AE data.
The reconstructed signal retains main information about modal dynamics and results in a considerable reduction in the data.
Settingis the discrete sampling data of the signal,，orthogonal wavelet decomposition of signalcan be expressed as
Reconstructed signal considerably reduces the data, which results in the reduction of the computational time for correlation filtering.