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And the reduction and nitridation rate from the intercalation compound was greater than that from the mixture.
The main drawback is that mixture between clay mineral and reduction regent is not homogeneous, and the phases of product are complex.
Carbothermal reduction and nitridation.
These data show that kaolinite and its intercalation compound remain layer structure during in-situ carbonization.
The rate of reduction and nitridation of the intercalation compound was greater than that of the kaolinite/carbon mixture.

An investigation shows that least-squares fitting can significantly decrease random error by incorporating data from the intermediate phase values, but it cannot completely eliminate nonlinear error.
Theoretical analyses and experiment results show that this method can greatly save data acquisition time and improve the precision.
Results showed that least-squares fitting can significantly reduce random errors on the condition that the data acquisition time and reliability of original TPU algorithm remain unchanged.
Both theoretical and experimental results showed that this algorithm worked well in significantly reducing the measurement error and saving data acquisition time.
Summary Accuracy, data acquisition time, computation time and reliability are four main evaluation indexes for temporal phase unwrapping algorithms.

Various mechanisms contribute to the sludge reduction but the role of each one is unclear.
This method has been shown very effective in excess sludge reduction and 30-100% sludge reduction has been reported [4-7,10,11,15,17].
Data reported were the average values of 6 months’ operation unless stated otherwise.
The average sludge retention time in SBR1 was 11.4 d while that in SBR2 was 27.7 d (according to data in Table 2).
A protocol was developed for quantitative study of sludge reduction mechanisms.

Section 3 presents an algorithm for the attribute reduction.
Attribution reduction in decision-theoretic rough set models.
Attribute reduction based on minimum decision cost.
Minimum cost attribute reduction in decision-theoretic rough set models.
Reduction of Rough Set Attribute Based on Immune Clone Selection.

They recognized that the reduction of chromium oxide involves three independent stages: (i) reduction of Cr 3+ to Cr, (ii) formation of Cr 2+ either from the oxidation of Cr or the reduction of Cr 3+ and (iii) the reduction of Cr 2+ to Cr.
On the other hand, investigations on the thermodynamic equilibrium of liquid Fe - Cr alloys [4 - 8] have revealed more accurate data on the activities and free energies of formation of the constituents of the Fe - Cr system [4].
We now proceed to estimate the mass transfer coefficients from our experimental data.
Firstly, from the chromium concentration in the steel data, we calculate the number of moles of chromium that have been reduced in every time step.
The mass transfer coefficients for the reduction of chromium were estimated from experimental data.

A data fusion algorithm based on Kalman filter is presented.
Data fusion algorithm Problem formulation.
Data fusion algorithm based on Kalman filter
Then export data to Excel file, carry through data filter and disposal, and calculate the value of the corresponding Q.
Select the F2, F3 data as study.

Then follow the general steps of data mining to research and analyze the enrollment data.
Introduction Data Mining (Data Mining-DM) is a decision support process.
Combined with a university enrollment data for analysis, information on the candidate’s personal is been attribute reduction.
Some dependencies between data can be summarized through a set of attribute after reduction.
In this paper, the data source is from graduate enrollment data.

Seismic vulnerability analysis of Mid-story Isolation and Reduction Structures based stochastic vibration Peiju Chang1, a, Jian Zhu 2,b 1Department of Information and Computation, Beifang University for Nationality, YinChuan, 750021,China 2Department of Civil and Hydraulic Engineering, Ning Xia University, YinChuan, 750021,China achangpeiju1979@163.com, barrow66@163.com Key words: MIRS; seismic fragility; data statistics; stochastic vibration; data mining Abstract.
A statistical distribution is fitted to the data for each intensity level on each vertical line.
The mean and standard deviation values of the response data are also given lately.
After calculating the probability of exceedance of the limit state for each intensity level, the vulnerability curve can be constructed by plotting the calculated data versus spectral acceleration.
The curves become flatter as the nature of the statistical distribution of the response data.

The experimental aerodynamic data proves that streamwise traveling wave airfoil can increase lift and reduce air drag.
The results prove the lift up and drag reduction effect.
The lift and drag experimental data shows in Fig. 6.
The data will be averaged and put into Tecplot software.
Morel, Turbulence reduction in a boundary layer by a local spanwise oscillating surface, Phys.

The data mining technique is employed and the massive spectra are identified quickly and efficiently.
The experimental data The experimental data are the entire SDSS DR9 spectra which is the SDSS's newest data release including the first spectra of the Baryon Oscillation Spectroscopic Survey.
Fig. 1 CVs template spectra from SDSS The training data set consists two parts.
PCA is a popular solution of dimensionality reduction.
The results of our data mining belong to these types.