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(2) The analog to digital begins to sample noise signal and executes the data conversion for which the micro control unit keeps waiting
Enclosed space noise source sampling data diagram The curve describes the noise data in confined space when the system is not started, the coordinates of the horizontal axis represents the sample time length (300 seconds) and the vertical axis represents the sound pressure space (unit: dB).
When the system runs for some time, we sample sound data during 3 minutes in the confined space.
Enclopsed space noise reduction sampling data diagram It’s obvious that the effect of noise reduction is significant by comparison of the data before and after the noise reduction, the average amplitude decreases to 6 db (ref Fig 7).
Enclosed space noise reduction noise reduction diagram The black solid line represents the sample data from noise source in the confined space, the dashed line represents sound sampling data through noise reduction processing.

We have developed the catalytic process of the NO reduction by AC over CuO [23], and the influence of pretreatment method of activated carbon on the catalytic reduction of NO by AC was studied.
Catalytic reduction of NO by carbon The catalytic reduction of NO by AC was carried out at atmospheric pressure in a fixed bed microreactor (Φ10 mm × 300 mm).
Effect of Gd2O3 loading on the catalytic activity of Gd2O3-CuO/AC for NO reduction by AC.
These data of XPS above are in agreement with the results of XRD, that is, with the increase of loading of Gd2O3 in the CuO catalysts the Gd2O3 and CuGd2O4 phases strengthen.
However the distinguish between Cu 0 and Cu1+ based on the XPS data is difficult, because the BE of Cu0 (932.7 eV) is very close the BE of CuI (932.6 eV) [32]. 930 940 950 960 970 Intensity /a.u.

To evaluate the effect of the cold reduction rate on ferrite recrystallization behavior, hot-rolled sheet specimens are cold-rolled at cold reduction rates of 40% and 67%.
To evaluate the effect of the cold reduction rate on ferrite recrystallization behavior, the results obtained in the present study are compared with those obtained in a previous study (reduction rate: 67%) [6].
In addition, it should be noted that the effect of the cold reduction rate on the ferrite recrystallization behavior of specimen M was smaller than the effect of the cold reduction rate on specimens P and B.
Ferrite recrystallization behavior of each specimen during annealing (data at a reduction rate of 67% was taken from a previous report [6]).
As shown in Figs. 2 and 4(a), although the dislocation density of specimen M did not depend on the cold reduction rate, the progress of ferrite recrystallization of specimen M was more rapid at the larger cold reduction rate.

Introduction In rough set theory, knowledge reduction is one of important research contents, through the knowledge reduction simplify the processing of large amounts of data information, in order to rapid get useful knowledge.
Value reduction is a very important aspect of knowledge reduction.
Currently, people have done much work, proposed a lot of reduction algorithm.
Based on this, attribute union method is used in this paper to obtain attribute value reduction.
Attribute Value Reduction Algorithm Design of Attribute Union.

According to the penetration test and lots of soil moisture data, the water reduction ability of terrace and slope land were analyzed, which can provide decision evidence.
The ability of the water reduction between terrace and slope land were analyzed through the test data, which can provide basis to the runoff simulation under different underlying condition and planning of soil and water conservation works.
Data analysis Penetration ability analysis.
Water reduction ability analysis.
So, the water reduction ability of terrace is higher than slope land under the same condition.

The data of IR and UV-vis show that the frameworks of clusters are not changed remarkably during the reaction.
Scheme 2 The reduction of amides catalyzed by 1 and 2.
Table 2 IR spectra data of cluster 1, 2 and used catalysts.
IR data of fresh cat.
νC-O(cm-1) IR data of used cat.

Rough set theory (RST) as a new data mining method, can deal with uncertainty and incompleteness in data analysis.
Production Process Data Acquisition Database Data Cleaning Model Development Data Analysis Output Generation Domain model Query Tools Statistics & AI tools Visualization Tools Goal of KDD Keys: Data Flow Process Flow Tools Usage Fig1.
It integrates learning-from-example techniques, extracts rules from a data set of interest, and discovers data regularities.
The rule acquisition is made up of four components (enveloped by broke line), namely, data inspection, data discretization, attribution reduction and rule composing, those are basic steps within mining control rule process.
Data inspection During this initial step, the first inspection of the data is performed.

Century Perspective on Molybdenum Powder Production by Hydrogen Reduction G.P.
Consequently, it has been found cogent to "partition" second-stage reduction into: i) a relatively high-rate Primary Reduction Sequence, and ii) a lower rate Deoxidation Sequence. 1.
The most current thermodynamic data available on the molybdenum-hydroxide vaporcomplex were employed for these computations [9].
Turner: Mechanism of Reduction of MoO3 to MoO2 Reconciled?
[10] Scott, G.: On the Reduction Sequence of Molybdenum Powder Production during Second- Stage Reduction, Master of Science Thesis, Colorado School of Mines, (2006)

With combination of obtained lattice constants and oxygen nonstoichiometry data, the effect of oxide ion vacancy on crystal lattice and their thermodynamic behavior have been deduced.
With combination of reduction expansion behavior and oxygen nonstoichiometry data estimated by thermogravimetry [7-9], the effect of oxide ion vacancy on crystal lattice was clarified and thermodynamic behavior of oxide ion vacancies was deduced.
[CuK α ]） X-ray Intensity Raw data 220 peak 208 peak Curve fitting 67 68 69 70 2θ (deg.
For the quantitative analysis of effect of δ on reduction expansion, dependence of lattice constants for hexagonal description and molar volume on δ was calculated by combining data of Figures 4~7 and oxygen nonstoichiometry data reported by Onuma and coworkers [11].
Yashiro (Research Institute of Scientific Measurements, Tohoku University) for supply of oxygen nonstoichiometry data and fruitful discussion.

The direct reduction in carbon-based pellets has been studied extensively[2].
However, the model research on thermal processes in RHF for direct reduction is still to be further developed[4].
The carbon monoxide is the main product of the direct reduction by carbon due to the gasification of carbon.
The boundary condition is calculated according to design parameter, experimental data and field data.
LU: Mathematical Modeling of the Kinetics of Carbothermic Reduction of Iron Oxides in Ore-Coal Composite Pellets.