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Vorovskogo, 13-7, Chelyabinsk, 7454094, Russian Federation abilgenova@susu.ru, bgamovpa@susu.ru, croshchinve@susu.ru Keywords: solid-phase reduction, direct reduction, indirect reduction, anionic vacancy, cation, quantitative estimation.
The direct reduction of metals from a complex oxide with low iron content by solid carbon and indirect reduction by CO gas were studied in a vertical laboratory resistance furnace at 1300 °C for an hour reduction time.
Introduction The complexity of the process of metal reduction from solid oxides by carbon is associated with the fact that there is no a single reduction mechanism which could be valid for all cases of the metal reduction.
The data about the area of each reduced iron particle, the total number of iron particles, the average size and the area of the total metal was obtained as a result of processing of the panoramic optical images of surface of the samples’ sections, Table 1.
At the same temperature and time of reduction, the reduction by CO gas led to the reduction of the metal with total area 1373.33 - 1851.55 μm2 with average size of every particle 1.87-1.32 μm2.

Reduction Kinetics of Iron Ore Materials by Gases A.N.
In particular, recently at the Institute of Metallurgy of the Ural Branch of the Russian Academy of Sciences a balance logic-statistical model of the blast furnace process [1] has been used which is based on the use of material and thermal balances along with statistical data and the most significant regularities of heat exchange and balance conditions of iron oxides with a gas phase.
Calculation of non-uniformity of distribution of gas on top radius As the initial information the practical data about distributions 2CO and temperature of gas on radius of top are usually used.
In the mathematical model, there is the possibility of using any types of distributions as on practical data and by expert.
As the initial data the following are used: the furnace characteristics, composition and properties iron ore raw materials, limestone, coke, blasting parameters, factors of non-uniformity of the gas stream, coordinated with the profile of charge level (a site of an ore crest, its height).

In order to lower the measurement system errors in aluminum electrolysis reduction, and find out the abnormity of process parameters, this paper considered the process parameters in the production process, used mean-range control chart in statistical process control to analyse aluminium level data during aluminium electrolysis reduction, designed and implemented the statistical process control system for aluminum electrolysis reduction data, presented process improvement method for aluminium level data.
If the data points is less, we take n=1.
Daily report, effect report, laboratory data, the measurement data, etc. all have cell number field and date field.
The system selects and analyses the data of 4045# experiment pot's aluminium level measurement data, which have two months' data.
There is no abnormal data.

The equilibrium distribution of Cr and Si between slag and metal was calculated on the basis of the acquired data.
We have got some conclusive data and done some analysis about the thermodynamic feasibility of smelting reduction.
Kinetics Research of Chromium Ore Smelting Reduction Process in a Converter Carbon is cheap and easily got, and its reduction ability improves as the temperature rises, which satisfies the reduction thermodynamic condition of chromium ore.
So it is selected as reducing agent in the chromium ore reduction system.
Reduction process was divided into three phases.

The convolution algorithms calculate the convolution of experimental data sequence and coefficient data sequence.
According to signal processing theory, the essential of convolution algorithms is to calculate the product between the frequency spectra of experimental data sequence and coefficient data sequence.
Raw data are transformed into the wavelet domain by WT, and the information contained in the raw data can be represented by the wavelet coefficients.
If we actually perform this operation on a real digital signal, we wind up with twice as much data as we started with.
The interferogram data (with 15240 points) of samples were collected on a Fourier transform near infrared spectrometer (Bruker, VERTEX70).

In this paper, coal-based reduction on flotation middling from iron ore containing carbonate at donganshan was studied, during which the effect of reduction temperature, reduction time, C/O mole ratio and feed layer thickness on reduction process were carried out.
It is a good reductant for coal-based reduction.
From physical chemistry of metallurgy view point, the increase of reduction temperature can promote iron reduction reaction.
Effect of Reduction Time.
The data reveals that metallization degree grew slowly from 1.0 to 1.5, but begins to take off at 1.5, while further increase in C/O results in slightly change.

FNMF-ITWC Algorithm Applied to the Cancer Gene Expression Data Duo Wang1, a 1Party School of Shijiazhuang Municipal Committee of C.P.C, Shijiazhuang, China aduow2000@163.com Keywords: cancer gene expression data, biclustering algorithm, non-negative matrix factorization, iterative clustering, data dimensionality reduction Abstract.
In the biclustering algorithm, the sum of all genes and samples of the submatrix can be unequal to those of the orignal data matrix. 2.2 FNMF-ITWC Algorithm FNMF-ITWC algorithm first makes gene choice of original gene expression data, and carries out factorization of nonnegative matrix on rows ( gene dimension), so as to realize the reduction of data dimension and diminution of data redundancy, and find out nonredundant genes which are relevant to research question.
The advantages of the FNMF-ITWC algorithm: 1)Firstly, conducting gene selection and fast non-negative matrix factorization algorithm to original data expression data can achieve data dimensionality reduction and removal of data redundancy and relativity, and finding out non-redundant genes related to research problem.
The three groups of data sets are: gastric cancer gene expression data set, colon cancer gene expression data set, and leukemia gene expression data set.
The application of the NMF-ITWC algorithm on this kind of gene expression data owning features of high dimension and small sample achieves the purpose of extracting dimensionality reduction and consistent gene characteristic.

Diagnostic Object Information Collection Data Preprocessing Attribute reduction Rule base generation Control Measures Diagnosis Figure 1.
Thus see that, DMFD model framework consists of the following three components: (1) Data pre-processing module will fault case data in the database through data cleansing, data conversion and data extraction tools such as pretreatment, into an analytical data set, this analysis of the data set is for the next mining algorithm established
Rough set reduction is an important concept for data analysis.
Use reduction results, you can get a preliminary classification of fault data, are diagnostic rules.
Data Mining in Fault Diagnosis.

And then, we deal with multi-degree reduction of NP curves by degree reduction of Bézier curve.
A parametric polynomial curve of degree in the DP form can be given by [3] (2) Where are called the DP control points of the curve , and are the NTP-DP polynomial basis defined by: in addition, if is even, and, if is odd, The degree reduction of parameterized curves is one of the most common operations in CAGD, because it reduces the amount of communicating data.
Recently, degree reduction approximation of the DP curves has been studied.
Since degree reduction algorithms of Bézier curves in different norm have been very mature, it is a feasible way to deal with degree reduction of DP curve by Bézier curves.
It is very obvious to use the mature Bézier degree reduction theory to deal with the DP degree reduction.

Preparation of Graphene (1) Photochemical-thermal reduction.
X-ray diffraction (XRD) data were obtained using a Rigaku D/MAX2200 diffractometer featuring Cu Ka radiation filtered with Ni (λ= 0.15418 nm).
(a) and (b) are graphene oxide via modified Hummer method; (c) is Graphene prepared by photochemical-thermal reducing; (d) is Graphene prepared by High-temperature thermal reduction Thermal reduction (1) Photochemical-thermal reduction After illuminated in infrared lamp for 6h, nearly 130℃, the brown graphene oxide solid became black (Fig.1c), indicating that the removal of the absorbed water and the occurrence of the reduction reaction [11].
XRD pattern of graphene prepared by High-temperature thermal reduction Fig.5.
Photochemical-thermal reduction and high- temperature thermal reduction are used to treat the obtained graphene oxide.