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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.

The new formulation, which is calibrated on the basis of simulation buckling data available in literature, corrects a small issue of the previous one, giving at the same time more reliable and consistent results.
As far as imperfection effect on shell buckling is concerned, EN1999-1-5 is based on the traditional, empirical "Lower Bound Design Philosophy", according to which a knock-down factor of buckling loads, usually denoted by α, is introduced in order to fit the lower limit of the scattered experimental and numerical data.
Because of the great scattering observed in numerical buckling data, a further semi-probabilistic analysis has been carried out for the evaluation of the lower bound of buckling loads of imperfect cylinders subjected to axial compression.
To this purpose numerical data have been treated in stochastic way, in order to extrapolate lower values of ultimate load, corresponding to a given fractile value (5%) [4,5,7,8].
Likewise the α formulas given in the first issue of EC9, also the proposed expressions have been fitted on the basis of a wide amount of both numerical and experimental data available in literature but, contrary to the codified ones, they only depend on geometrical parameters, thus eliminating the dependence on the yield stress f0.

Evaluation data sources.
There are kinds of evaluation data sources in the MONE evaluation [8], such as experts’ experience data, infield simulation data, and outfield test data and so on.
Usually only one type of evaluation data are used, which allows multiple data sources support too simplistic.
But some data source cannot be used in evaluation directly [11].
How to express these data uniformly is a key problem.

For most of the problems about anti-sliding stability with unknown sliding surfaces, strength reduction finite element method can be adopted [6-8].
Different reduction coefficients of material strength are selected to analyze dynamic anti-sliding stability.
Different reduction factors are chosen to calculate from the initial state.
The mutated moment of displacement is considered as destructional moment during the reduction process of strength, and reciprocal of the reduction factor at this exact moment is the safety coefficient [16].Diagram of plastic zone of the sliding moment can be gotten at the same time of calculating the safety coefficient.
Data of water level in different working conditions is shown in Table 1.

We find that the capacity of energy conservation and emmision reduction of eastern region is best, the western region is in the middle level, while the central region is not good enough.
Table 1 The meanings of parameters Parameter Explanation the total CO2 emissions of the whole country based on unit GDP energy consumption, (Unit: thousand tons) the total CO2 emissions of province j based on unit GDP energy consumption =44/12, the molar ratio of converting C to CO2 carbon oxidation coefficient of standard coal, we set it as 0.9 the heat transfer coefficient of standard coal, we set it as 29.27 the average carbon content of standard coal, we set it as 24.74 unit GDP energy consumption of standard coal in province j GDP of province (city) j The data of emissions come from the journal China Environment Yearbook, the data of power consumption and conversion coefficient and related data come from China Statistical Yearbook.
Because the data of Tibet is not complicate, we just predict 30 provinces (cities) CO2 emissions.
We used the data of population from China Statistical Yearbook to calculate the per capita CO2 emissions, shown in Figure 2.
In this respect, improving the industrial structure and technical level in high emission intensity areas can promote the emission reduction with a lower cost and more efficient way.

In sum, the power consumption of electric buses and sedans are 126 kWh and 17 kWh per 100km, which are close to the news report and data statistics in China right now [12, 13].
The data of fossil energy consumption and CO2 emission are shown in Table 1.
According to data from China Statistical Yearbook 2011 and China Energy Statistical Yearbook 2011, 800 million toe of coal are consumed in power generation and heating in 2010, correspondingly 8.998 million tons of SO2 and 1.99 million tons of soot are emitted in electricity generation industry.
The data of pollutant emissions for PVBs are unavailable since the National Bureau of Statistics China did not release any vehicle emission data.
The emission data of PVBs can be obtained through National Standards from Standardization Administration of China in this paper.

The part with large area reduction is always accompanied by the appearance of core necking and tensile failure while small area reduction is associated with bad internal quality.
The data that have been sort out after experiment two are given in Table 3.
According to experimental data and related finite element analysis, the research about seeking the forming principle of internal rarefaction of parts revealed that most products with large area reduction have nice internal quality.
Several reasons are given for this phenomenon: (I) for parts with large area reduction, transient axial flow of metal is more than those products with small area reduction.
The boundary confirmed by the internal quality of product The permissible processing area The boundary confirmed by the rotation condition of part The boundary confirmed by the defects about core necking and tension failure Fig.7 Processing Boundary of Limited Area Reduction Conclusions 1) Regression analysis is adopted to deal with the mass experimental data.

Weight reduction and safety are mutually competing objectives.
And the safety should not be compromised after weight reduction.
The comparisons between simulation results and test data available in the literature are also presented in this paper.
Based on comparisons with test data, the virtual crash simulation model can capture well the occupant survival space during a crash.
Energy Finite Element Analysis for Computing the High Frequency Vibration of the Aluminum Testbed Cylinder and Correlating the Results to Test Data.

a fdhytec@126.com * Corresponding author.b cail.08s@igsnrr.ac.cn Keywords: Aquatic worms; aeration; energy use; growth model; sludge reduction Abstract: In the research, the dissolved oxygen, energy efficiency index, growth of aquatic worms and sludge reduction were determined and analyzed.
Data calculation and analysis Energy efficiency index I (nondimensional) is used to evaluate the relationship between energy utilization and operation condition of the treatment system, which is defined as the ratio between the pollutant removal rate R and energy parameter E: (1) I reflects the contribution of the system energy consumption to the wastewater treatment, that the bigger the I, the higher the energy utilization efficiency is.
A new reactor concept for sludge reduction using aquatic worms.
In-situ Tubifex sewage sludge digestion technology for sludge reduction.
Sludge reduction by predatory activity of aquatic oligochaetes in wastewater treatment plants: science or fiction?

The Optimization of Calciothermic Reduction-Diffusion Process for Preparation of High-Performance Sm2Fe17Nx Magnetic Powder J.
Calciothermic reduction-diffusion (CRD) method was employed to prepare the Sm2Fe17 powder.
Different processes such as melting [1], mechanical alloying [5], calciothermic reduction-diffusion (CRD) [6-8] have been used for the preparation of the parent Sm2Fe17 alloy.
This result indicates that complete reduction of samarium oxide by calcium took place and the whole iron reacted with the samarium to form the Sm2Fe17 phase without forming undesirable phases such as α-Fe and SmFe3 which is difficult to completely remove by melting method [1,6].
The data shows that the coercivity and residual magnetization of the powder are 0.12kOe and 13.7 emu g-1.