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The effects of reduction temperature and reduction time on the removal rate of magnesium were investigated.
Therefore, the garnierite was treated by carbothermal reduction in vacuum in this paper, and the effects of reduction temperature and reduction time on the removal rate magnesium were studied.
The data of the first 120min was fitted by the least squares according to Fig. 3, and the reaction rate constant K and its correlation coefficient R2 at different temperatures are shown in Table 4.
By introducing the experimental data into the expression of the zero-order reaction kinetic model, the kinetic equation for the removal of magnesium by carbothermal reduction in vacuum from the garnierite can be obtained: 1-(1-α)1/3=(-22850.1/T+2.6296)t (3) Table 4 Reaction rate constant K and model correlation coefficient (R2) at different temperatures Model Number 1623K 1673K 1723K 1773K 1823K K(10-6) R2 K(10-6) R2 K(10-6) R2 K(10-6) R2 K(10-6) R2 D1 11.50 0.7678 14.00 0.7818 25.30 0.8006 36.00 0.9834 122.00 0.9899 D2 6.43 0.7502 7.95 0.7617 15.00 0.7725 22.60 0.9711 105.00 0.9826 D3 1.60 0.7320 2.01 0.7407 4.03 0.7424 6.43 0.9819 47.90 0.9125 D4 1.48 0.7441 1.84 0.7546 3.56 0.7623 5.46 0.9652 29.50 0.9661 D5 -2.62 0.7621 -3.21 0.7743 -5.93 0.7873 -8.70 0.9763 -39.20 0.9829 R1 13.70 0.9362 14.40 0.9276 20.90 0.9276 24.00 0.9843 75.30 0.9974 R2 43.70 0.9271 46.50 0.9167 69.60 0.9137 83.30 0.9872 348.00 0.9735 R3 33.00 0.9070 36.00 0.8929 57.50 0.8803 75.30 0.9832 643.00 0.8163
The effects of reduction temperature and reduction time on the removal rate of magnesium were investigated.

Mechanical Diagnosis based on Similarity Extraction of Time Series Chunjie Lv Yongyu Yao Department of Mechanical Engineering, Luoyang Institute of Science and Technology Keywords: similarity, dimension reduction, fault diagnosis, historical data Abstract: The intelligent diagnosis emphasizes the processing method of knowledge of the historical data.
This paper discusses the possibility of the application of similarity extraction and pattern discovery of time series in fault diagnosis by using these historical data, presents the method of time series feature extraction and pattern matching, and advances the possibility of data clustering and pattern discovery based on dimension reduction.
So it is necessary to transform time series data.
DFT is a very transformation, which is separated from the common data.
Retention of 64 bit DWT coefficient Fig. 3 The graph after compression with DWT The results of Wavelet transform could also reflect the overall data trend through data reduction.

As shown in Fig.1, after performing mapping and serial-to-parallel(S/P) conversion to the information bits of an arbitrary user (indexed by ), a data symbol is replicated into parallel copies.
We should notice IFFT number is a multiple of the spreading sequence length and data symbols length .
Hence, the estimation of this detector is (13) which is just the decoupled data plus a noise term.
After detecting as (15) we can further transform them to by using and recover efficient data symbol by .
Wang, Lattice-reduction-aided receivers for MIMO-OFDM in spatial multiplexing systems, Proc. of IEEE PIMRC2004, 2004, pp.798-802

As a catalyst, the reduction behaviour and the degree of reduction of the molybdenum species were highly important in such application.
For identification purposes of crystalline phase composition, diffraction patterns obtained were matched with standard diffraction data (JCPDS) file.
The TPR profile of MoO3 represents two reduction stage (denoted I and II) which stage I owing to peak displayed at early reaction time may regard to the reduction of MoO3 to Mo4O11, while stage II is subsequent to reduction steps of Mo4O11 to MoO2.
Fast reduction of Ag2O was promoting MoO3 to reduce together.
The data obtained from XRD evidenced the presence of Ag2Mo2O7 alloy on MoO3, which led to the effect on enhancing the reduction process by lowering the reduction temperature of MoO3 to MoO2 phase that was completed at after non-isothermal reduction until 700 °C and hold for 30 minutes at 700 °C compared to undoped MoO3.

In order to research the way of dimensionality reduction for data, we also processed the sample of stress fatigue concentration factor to compare with Principal Component Analysis(PCA).
In order to research the way of dimensionality reduction for data, we also processed the sample of fatigue stress concentration factor to compare with PCA.
Collect data and train by linear kernel function The data about fatigue stress concentration factor is come from Metal material design, selection, prediction.
A part data of sample is listed in the Table.1.
Ning: Design, Researches on Feature Selection and Stability Analysis for High Dimensionality Small Sample Size Data (MS., Xiamen University, China 2014)

Kinetics of oxygen reduction on Pt/C catalyst.
The Koutecky-Levich plots obtained from the data in Fig. 3 are shown in Fig. 4.
The calculation was performed for a four-electron reduction using published data for O2 solubility, the solution viscosity and oxygen diffusivity [9].
The Tafel plot obtained from the obtained from the data in Fig. 3.
Tafel plots for O2 reduction on Pt/C reduction kinetics on Pt/C and bulk Pt in a 0.5 mol dm -3 and bulk Pt in 0.5 mol dm -3 HClO4 solution.

(7) Table1 Thermodynamic data of reactants and resultants substance 3MgO·2SiO2·2H2O(s) -4 364 079 222.170 317.231 132.241 -73.555 MgO(s) -601 241 26.945 48.953 3.138 -11.422 SiO2(s) -910 857 41.463 43.890 38.786 -9.665 H2O(g) -241 814 188.724 29.999 10.711 0.335 MgO·SiO2(s) -1 548 917 67.781 92.257 32.886 -17.866 2MgO·SiO2(s) -2 176 935 95.186 153.929 23.640 -38.493 In order to determine the reaction formula, the Gibbs free energy change in Eqs. 5-7 can be calculated by the thermodynamic data of 3MgO·2SiO2·2H2O(s), MgO(s), SiO2(s), H2O(g), MgO·SiO2(s) and 2MgO·SiO2(s)(see Table1)[11-12], whereandare the standard molar formation enthalpy and the standard molar entropy at the temperature of 298K.
Determination of Reduction Process.
Therefore, the reduction condition is improved effectively.
[11] Dalun Ye, Jianhua Hu, Practical Thermochemical Data of Inorganic, Metallurgy Press, Beijing, 2002
Barin, Thermochemical Data of Pure Substance, Science Press, Beijing, 2003

The model was testified to be reliable by compared with the experimental data.
For temperature exceeding 200℃ the kinetic data are described well with a model based on E-R mechanism.
The detailed kinetic data required for solution based on [5] (see Tab.
The calculated results were compared with the experimental data from [6] as shown in Fig. 2.
Fig.2 Comparison with the experiment data and simulation data of the reactant outlet concentration The concentration and temperature distribution.The concentration and temperature distribution along the channel direction was studied, which contributed to determine the inlet concentration and the optimal temperature of the SCR reactor.

Make North Schisandra criterion and sample data as Normal-Weibull distribution to calculate similar.
Knowledge reduction method description Knowledge reduction method is based on rough set[3, 4].
Rough set methods can be applied as a component of hybrid solutions in machine learning and data mining.
Sample data y are normal distribution and standard data x are weibull distribution, the probability density function are , Where is mean of Sample data; is standard deviation of Sample data; is scale parameters; is shape parameters; .is location parameters.
After calculated, the fuzzy centre data of recommended samples are(0.06178±0.044, 0.04656±0.0102, 0.04456±0.0084); the fuzzy centre data of no-recommended samples are(0.093962±0.0757, 0.036608±0.0087, 0.024415±0.0068).

This paper, basis on the rough set theory in data mining and preferential information ,we improve the rough set attribute reduction algorithm, and applied to civil aviation accident analysis to indentify the potential law of accident.
Data Mining, also known as Knowledge Discovery from database, it is a complex process that extracts unknown and valuable mode or knowledge from large data.
Rough sets and data mining is closely related, it provides a new tool for data mining.
First, the implementation objects of data mining are more for relational databases, relational tables can be seen as a decision table in rough set theory, knowledge can be substituted by data, Knowledge processing can be achieved by the data manipulation, it brought great convenience to the application of rough set methods.
In order to extract useful information from these complex data better, to find out the internal rules and patterns in the main affect safety of flight and the accident involved of factors in the wealth information and data, the article improve the algorithm which based on Rough Set Attribute Reduction, it can provide a reference for aviation safety.