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The proposed fault diagnosis program consists of five procedures: data acquisition, feature extraction, feature reduction, training ANFIS and fault classification.
Feature reduction.
The data obtained from previous procedure is split into two data sets: training and testing data.
Data Description.
Data set B has training subset and testing subset, which totally contains 288 data samples.

This reduction is relative to their annual emissions in a base year, usually 1990.
Data source and results In this article, we focus on the period from 1960 to 2010 in France.
To study how the five factors affect the emission ,according to the changing tendency of emission amount and energy structure, we divide it into five shorter periods, 1960-1970, 1970-1980, 1980-1988, 1988-2000 and 2000-2010.The source of all data is the database of World Bank, except emission amounts in the year 2009 and 2010 are from RAC-F website.
During 40 years, reduction of emission depends rarely on alternative and nuclear energy, and nuclear energy took almost the whole part.
If France cannot change their energy structure effectively, reduction of nuclear energy will cause another disaster of emission.

It was found that in the hot band of this high purity Al, cube orientations were mostly rotated away into other orientations due to low temperature hot rolling with high rolling reductions.
In discussing such a localized process, the statistical reliability of the experimental data plays an important role.
It turned out that, at such high rolling reductions, orientation distributions within a grain were in all cases rather uniform, giving the maximum orientation spread of about 15 º.
Thus, most of the {100}<001> regions observed in the hot bands seem to have rotated away into other orientations during heavy cold rolling of 98 % reduction in thickness.
Very thin layered deformed microstructures and high stored energy established by heavy cold rolling of 98 % reduction in thickness seem to have enhanced such preferential growth of cube recrystallized grains.

Results and discussion Table 1 shows the absorption frequencies of IR spectrum data on methyl 2-methoxy-propyl carbonate.
Its MS data in Fig.1 revealed by the mass spectrum obtained are explained respectively to M-1(147), [CH3OCOOCHCH2OCH3]+(133), [CH3OCOOCH2CH2]+(103), [HOCOOCH2CH2]+(89), [OCOCH2CH2]+(72), [CH2CH2OCH3]+(59), [CH2OCH3]+(45), [HC≡C-CH2]+, [CH2CH3]+, [CH3]+(15).
From the data presented above, that were acquired through FT-IR, 1H NMR and GC-MS analyses, it is easily confirmed that the newly prepared oxygenate is methyl 1-methoxy-2-propyl carbonate with its chemical structure being CH3OCOOCH2CH(CH3)OCH3.
Tab.1 Main data of IR spectrum of methyl 2-methoxy-propyl carbonate Frequency/cm-1 Group Vibration type Strength 2986.48 2935.94 -CH3, -CH2 νas m 1747.50 C=O ν S 1446.37 -CH3, -CH2 δ m 1276.33 C-O-C νas S 1115.75 1066.57 C-O-C νs m Tab.2 1H NMR data of methyl 2-methoxy-propyl carbonate Chemical shift/10-6 Proton peak splitting Peak area/Proton number 4.940 3.785 3.437 3.400 1.284 Multiple Single Multiple Single Multiple 2.00/1 6.44/3 4.74/2 6.22/3 7.59/3 Fig.1 MS data of methyl 2-methoxy-propyl carbonate Physicochemical properties and diesel engine test of the fuel blend[7] physicochemical properties All the test methods accord as China national standard, a commercial No.0 diesel fuel meeting China national standard specification was used as base reference fuel into which the oxygenate was added for all comparison studies in the paper.
Review of NOX reduction technologies in CI engines fuelled with oxygenated biomass fuels[J].

Introduction Emission trading is an efficient market means to allocate environmental capacity resources, which is an important mechanism to promote pollutant emission reduction.
The data accounting and the standardization of operating procedures are the critical technologies to be solved to implement the emission trading mechanism smoothly.
Based on the productive technologies and technical standards of various industries, such as chemical industry, cement industry, ceramic industry, glass industry, steel industry, nonferrous metals industry, aluminum industry, gypsum industry, mining industry, paper industry and refining industry, etc., Ecofys determined a ratio (t CO2/t product) and allocate the emission quotas on the basis of historical data method and output value method.
With rather strong purposefulness, CDM methodologies which are about the accounting methods and the supervising detailed rules and regulations of the greenhouse gas emission reduction engendered by CDM projects mainly serve for CDM projects development and the international CDM project cooperation.
According to relevant data, now the studies on CDM methodology in China mainly focus on two aspects: one is the developer of CDM project develops the baseline methodology and monitoring methodology directly which are applicable to the present project only.

Generally, the following simulation setting data (see Table 2) have to be inputted to the software for the rotating cases.
Table 2 The simulation setting data inputs for FEM simulation Forming Machine Hydraulic Press Simulation Module 3D Rotating Speed for the Lower Die 0.2rad/sec Constant Shear Friction at the Upper/Bottom interface 0.3/0.1 Reduction Ratio 18.67~32.67% Moving Speed for the Upper Die 2mm/sec Flow Stress of Upper-Layer Cylinder SUS304H : Flow Stress of Bottom-Layer Cylinder SAE1039 : Geometry of Upper-layer Cylinder Geometry of Bottom-layer Cylinder Fig. 3 presents the corresponding results including the effective stress, the effective strain and material flow of the double-layer clad cylinder after compression whether considering the rotating effect.
Results and Discussions The compression forces obtained by the Slab analysis and FEM simulation under the given reduction ratios for various clad height ratios can be compared whether considering the rotating effect.
Fig. 4 is variation of compression force in non-rotating compression with reduction under different clad height ratios.
And due to the embedding effect which hard layer embeds into the soft layer during the compression, the soft layer size will bigger with the increasing of reduction ratio.

Pujana applied ultrasonic vibration on drilling Ti6Al4V and observed force reduction and temperature increment during the process [2].
Including all the benefits that ultrasonic brings to drilling process, thrust force reduction is the most important one.
Many researchers have discussed the thrust force reduction through both of the theoretical analysis and the experiments.
A data acquisition card recorded the data and sent it to the computer.
For the cutting lips, the reduction of thrust force is more significant than that of the chisel edge.

Experimental data was statistically analyzed using analysis of variance (ANOVA) and optimum condition was achieved for evaluation criteria.
Tools manufacturing through PM process is an alternative tooling option for EDM electrodes where the desirable properties of different materials can be combined and a large number of tool electrodes can be made from a single die and punch assembly, resulting in an overall reduction of EDM tooling cost [3].
[8] used L18 orthogonal array based on the Taguchi experimental method to determine EDM machining performance of conductive ceramics (Al2O3 + 30 vol% TiC) and the experimental data were statistically analyzed by ANOVA.
The Taguchi method uses signal to noise (S/N) ratio to quantify the variation in data.
It was further observed that breakdown of tungsten from the electrode occurs which gets deposited on the work surface causing an appreciable reduction in the Ra value.

In agreement with the UV-VIS data and also with the electrochemical study the new donor-acceptor systems synthesized could have applications in NLO.
Table 1- Yields and UV-VIS spectra data of compounds 1-2.
In contrast, the reduction of the series occurs in an irreversible one-electron reduction.
The data illustrate that there is quite an obvious electrochemical distinction between the compounds depending on the type of �-bridge, bridge length and the type of acceptor groups, (Table 2).
Table 2- Electrochemical data for oligothiophenes 1-2.

SVM can do well with less data but is computationally expensive while GMM is computationally inexpensive but needs more data to perform adequately.
SVM is a kind of classification algorithm that has a good generalization performance to classify unseen data.
SVM is one of the most robust classifiers in speaker recognition since it has strong classification capability on small sample data.
The more data from a speaker is available, the better the identification performance is.
UBM is trained with the EM algorithm from hours of speech data gathered from lots of speakers.