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The aluminothermic reduction basically uses the aluminum as the reduction agent to reduce SiO2 into Si [31].
Magnesiothermic reduction process.
The reduction process was operated through the solid-state method.
Table 3 represents the quantification results of XRD providing data about product composition of generated silicone from different treatments.
The charge and discharge tests were conducted to obtain the capacity data at a certain voltage using the C-rate value.

Then it took advantage of Poyang lake for empirical analysis, and got the function of pollutant reduction cost and function of environmental damage cost by means of multiple regression analysis with the five main data of Poyang lake from 2001 to 2010.
But according to statistics yearbook and other data, Shangrao information is too little to be in operation.So the paper mainly discuss the pollutant reduction between Nanchang and Jiujiang.
Due to some data is not easy to get, we do the following process, The reduction cost of pollutant i is as follows:.
Through the above process,we can get the models of each pollutant with the data of 2010.
And due to limited data samples are few.

Seismic Fragility Analysis of Mid-story Isolation and Reduction Structures based two Directions Peiju Chang1, a 1Department of Information and Computation, Beifang University for Nationality, YinChuan, 750021,China achangpeiju1979@163.com Keywords: MIRS; Data statistics; Stochastic vibration; Seismic fragility; Finite element Abstract.
This study focus on derivation of such fragility curves using classic mid-story isolation and reduction structures (MIRS) in China metropolis.
Each vertical line of scattered data corresponds to an intensity level.
The parameter COV estimates the logarithmic standard deviation of the data statistic regression.
The curves become flatter as the nature of the statistical distribution of the response data.

Exploratory Study on Correct Use of Air-conditioning System For Energy Conservation and Emission Reduction Xia Lei*a, Baoping Jinb,Guojun Hanc College of Biochemical Engineering, Beijing Union University, China ajingwa8908@sina.com, bjdtbaoping@buu.edu.cn, cjdtguojun@buu.edu.cn Keywords: Energy conservation and emission reduction, Air conditioning systems, Environment pollution Abstract.
The main purpose of the thesis applies the ideas of energy conservation and emission reduction into the using process of the air conditioning system equipments.
Therefore, the energy conservation and emission reduction of heating and ventilation air-conditioning system is of great importance and extremely urgent.
The accurate calculation methods are seldom used by designers of air-conditioning system in the earlier stage for calculating the load of water chilling unit, and they often evaluate the load by the empirical data, thus leading to the oversize water chilling units.
Energy Conservation and Emission Reduction in Other Aspects The energy conservation and emission reduction is conducted by reducing the indoor temperature and humidity.

The system uses the thought of data mining, which can provide the decision-making basis for sports teaching; In addition, the system structure of three layers makes the system in good adaptability and function expansibility with reduction of the maintenance workload for later.
Clustering: The data in the database is a single data storage unit, the data can’t be a single meaning of the expression, that these clusters scattered data, induction, consolidation, thereby forming a meaningful subsets [1].
Data mining is the extraction rules based on a database or data warehouse shot data which is used to guide present and future actions.
Data mining is the use of data mining technology, mining process valuable knowledge from databases, data warehouses and other information in a massive database data.
Complete data mining process, including data standardization, data integration, data conversion, data mining, pattern evaluation, knowledge representation and so on.

Rare earth Halide Reducing metal ∆H298 in Kcal per gram atom of halogen Ca Mg K Al NdCl3 -10.6 +8.0 -19.7 +29.0 NdF3 -8.4 +5.1 +2.1 +31.1 The data were computed by Quill.
Experimental Procedure In pyro-metallurgical reduction a well-blended mixture of neodymium fluoride, iodine and calcium metal chips is charged into a reduction chamber, which is lined with dry calcium fluoride powder.
Thermal Reduction or Pyro-Metallurgical Process.
Reduction of NdF3 to neodymium metal was carried out in a bomb sealed reactor.
Gray, The production of pure cerium metal by electrolytic and thermal reduction processes, Trans.

Wavelet transform was introduced to the thermogravimetric data smoothing and differentiation analysis according to the experiment results, and the orthogonal test method was used to find the optimize wavelet parameter.
Adaptive wavelet Transform method was used to deal with thermogravimetric experiment data, and the reliability, validity result was contrastive studied compared to all kinds of traditional analysis methods.
Wavelet analysis denoising processing of thermogravimetric data According to the above experiments to get TG curve of grease in 5 ˚C /min, and calculated DTG curves as Fig. 1.
Choose a different threshold rules for noise reduction.
Wavelet transform is used to place DTG curve effective Gauss white noise, but also can speed characteristic signal retained very good burning, maximum close to the original data of the combustion rate.

It begins with acquiring experiments data.
Usually, the data cannot be directly treated by RS, and corresponding preprocessing should be adopted to improve the quality of data, where discretization is to convert the continuous data to discrete value.
Application in Rotating Arc NGW Obtain raw data To obtain the experiment data, the work piece is machined as showed in Fig. 1.2(b), which imitate the weld of multi-layer and single pass welding.
This will help the welding experts acquire knowledge from the experiment data.
Model reasoning Approximate reasoning is implemented when the RS model is use to predict unseen data.

To the shortcomings of neural network in fault diagnosis, such as multiple input dimensions and the huge amount of data, some reductions from data based on rough sets theory are derived and unessential attributes were eliminated, an optimized rough set-neural network intelligent system was established.
Based on the above analysis, input data of BP neural network was processed firstly by using rough set, a diagnostic network was built according to reduction results, more satisfactory was achieved.
First reduction rules were mined from data set through rough set, BP neural network was designed by reduction rules and trained by reductive data set.
However, a considerable amount of data was continuous in practical applications, and therefore the data must be discretization.
The discretized data was reduced by using rough set theory, each sub-neural network input after the reduction was achieved.

In a bench scale trial biological sulfate reduction was applied to convert anglesite (PbSO4) to galena (PbS).
Galena precipitates in the bioreactor due to the near-neutral pH at which sulfate reduction is carried out.
For the biological reduction of sulfur components hydrogen gas (H2) is a suitable electron donor.
Table 1 presents the elemental composition of the indirect leaching residue (data provided by Tecnicas Reunidas, Madrid, Spain).
Table 1 Elemental composition of the indirect leaching residue and the sludge after the bench scale experiment (data provided by Tecnicas Reunidas) Element % in indirect leaching residue % in sludge after bench scale experiment Pb 51.7 56.4 Zn 0.03 3.9 Fe 4.9 5 Cu 0.42 S-tot 21.8 18.2 SO4 19.9 0.52 The reactor was started up using a synthetic influent containing sulfate.