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The microstructures of the produced alloy together with the kinetics data obtained from reduction process were used to elucidate the reduction mechanism under isothermal conditions.
The microstructures of the produced alloy together with the kinetics data obtained from reduction process were used to elucidate the reduction mechanism under isothermal conditions.
At the early stages of reactions, the compact show very low reduction extent where the low reduction temperature is still not enough to accelerate the rate of reduction.
The extents of reduction were calculated as a function of time and the reduction curves and reduction rates were plotted as given in Fig. 3 and Fig. 4, respectively.
The obtained reduction curves are reflecting the effect of temperature on the reduction rate through the whole reduction stages.

The material balance calculation of producing stainless steel crude melts by chromium ore smelting reduction in a 150 t converter is carried out by use of the empirical data and the calculation method of refining plain carbon steel in a converter, according to the blowing conditions of 185 t smelting reduction converter of No.4 steelmaking shop in Chiba Works of JFE Steel.
In this paper, the material balance calculation of producing stainless steel crude melts by smelting reduction in a 150 t converter is carried out by use of the empirical data and calculation method of refining plain carbon steel in a converter, according to the blowing conditions of 185 t smelting reduction converter of No.4 steelmaking shop in Chiba Works of JFE Steel.
Material Balance Calculation The Required Raw Data of Calculation.
The absolute error of material balance is only -2.859 kg, the relative error of material balance is -0.169 %, such a small error can be considered to be caused by the handling of the calculated data.
The absolute error of material balance is -2.859 kg and the relative error of material balance is -0.169%, such a small error is considered to be caused by the handling of the calculated data.

To attribute reduction in an uncertain information system, this paper proposed a method of attribute reduction based on rough set theory.
Introduction Rough set theory [1,2] was put forward by Prof Pawlak who was a Polish mathematician in 1980s, which is a tool to deal with uncertainty and vagueness of data.
In information systems with massive data sets, due to huge number of attributes and examples, the attribute reduction algorithm efficiency is particularly important[3,4].
Rough Sets and Intelligent Data Analysis[J].
An algorithm for attributes reduction.

Increase of reduction time and temperature led to total iron reduction in the whole ore lump.
Reduction of lump ore by graphite at 1200 ºC for 240 min reduction time.
According to the data obtained using the X-ray phase analysis, after reduction experiments the ore lumps contained metallic iron (with manganese impurity according to the data from electron-probe test), silicate with (Mg1.145Fe0.855)SiO4 composition and small amount of FeO.
Reduction of iron from sideroplesite at 1200 ºC for 60 min reduction time: (a) – by graphite; (b) mixed with coal.
According to the data obtained by using the synchronous thermal analysis device STA449C Jupiter, the process of dissociation developed at 350…700 °C in 2 stages [10].

The growth rate of GDP has no direct impact on the realization of emission reduction targets.The higher reduction benchmarkdoes not restrict the successof emission reduction targets.
Table 1 Decoupling status identification table DE ΔCO2 ΔGDP Decoupling Status DE<0 <0 >0 Strong decoupling >0 <0 Strong negative decoupling 0≤DE<0.8 ≥0 >0 Weak decoupling ≤0 <0 Weak negative decoupling 0.8≤DE<1.2 >0 >0 Expansive coupling <0 <0 Recessive coupling 1.2≤DE >0 >0 Expansive negative decoupling <0 <0 Recessive decoupling Data Sources and Processing GDP data is from China Statistical Yearbook.
In order to guarantee the comparability of GDP, as well as analysis of carbon emission reduction targets for 2020, the GDP of every province is calculated based on 2005 constant price.The energy consumption data is from China Energy Statistical Yearbook.
The reduction targets could be achieved in regions with lower reduction benchmark, by relying on significant technic breakthroughs.
Higher reduction benchmark will not restrict the reduction targets to be achieved.

The results of current reversal chronopotentiometry and thermodynamic data showed that both the silicon deposition and the side reaction between SiO2 and magnesium result in the loss of magnesium and low current efficiency.
It indicates that the reduction process is diffusion-controlled.
Square wave voltammogram of SiO2 reduction on a tungsten electrode.
As is shown in Fig. 5, the electrode potential slowly drifts towards more negative values, and the electrode potential suddenly jumps to more negative values corresponds to the reduction of Mg(� ) ions after a well-defined transition time τ.�� The data plotted in Fig. 6 agree with the following equation[6]: 1/2 1/2 / 4 1/2 ln RT t E E nF t τ τ = +
Chronopotentiogram of SiO2 reduction on a tungsten electrode.

Because the LDA topics exists uncertainty distribution and rough set can deal with uncertain data well, so the algorithm based on rough set can improve the accuracy of topics analysis.
Rough set doesn’t need membership functions and to know much background about the data of given problem.
Data collection and LDA topic mining We collect data from www.sohu.com, www.sina.com and other websites as training and test data, and the contents cover computers, education, sports, entertainment, technology and automotive.
Since LDA topical mining is incomplete, and rough set for dealing with non-precision data has better adaptability, a topic reduction algorithm is proposed based on rough set.
Mining Incomplete Data—A Rough Set Approach[M]//Emerging Paradigms in Machine Learning.

Implementation of ERP system involves changes in management idea, business process reengineering, data integration, computer hardware and software, software vendors, consulting firms, etc., and are considered as a typical of complex system project.
Rough set has been already applied in many areas such as data mining, artificial intelligence, control and decision-making, pattern recognition and fault diagnosis, medical diagnosis; and also achieved encouraging results.
For attribute, (3) is used to measure the importance of attribute to the equivalence relation and . is positively related with the attribute ; Attribute Reduction Algorithm Decision-making table is developed in accordance with the data from the company implemented ERP.
When rough set is used for attribute reduction and rule extraction, only discretized data can be dealt with.
Pawlak，Rough set theory and its applications to data analysis[J].

Reuse SVM to signal sequences data continuation to improve EEMD.
Improved EEMD threshold noise reduction steps.
Fig.3 is the noise reduction error after four methods.
EEMD in threshold noise reduction using white noise is effectively restrain the noise, the noise reduction result is better.
Advances in Adaptive Data Analysis, Vol.1(2009),p1-41 [8] Chongfeng Cao, Shixi Yang and Jianxin Yang.

From these data the fraction reacted after 15, 30, 45, 60 minutes were calculated.
Data of ‘Factor’ value for Chromite Pellets Pellet (Chromite) Factor CR/99/1 0.2017 CR/89/10C/1 0.2648 CR/89/10CC/1 0.2778 CG/99/1 0.1683 CG/89/10C/1 0.2348 CG/89/10CC/1 0.2478 CB/99/1 0.2097 CB/89/10C/1 0.2721 CB/89/10CC/1 0.2851 The wt. loss during reduction of composite chromite pellet (Chromite + Coal/Charcoal) is due to the loss of O2 associated with Cr2O3 and FeO and also because of the loss of the carbon in it.
Hence, the product gas could be safely assumed to be CO and the fraction reacted be calculated as follows: = f* x 16/28 The data for fraction reacted (f) against time (t) are tabulated in Table III.
The data fit on linear plot passing through the origin for first order reaction.
Ray Reduction of I.