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Synergetic Effects between Al2O3 and HZSM-5 for NO Reduction by CH4 Lili Ren* and Xiaomei Pan School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China *Email: liliren@seu.edu.cn Keywords: Al2O3, HZSM-5, synergetic effect, NOx, selective catalytic reduction Abstract.
Combining with the data of Fig. 1 and Fig. 2, we can conclude that the addition of Al2O3 can improve the selectivity of methane for NO reduction.
In order to promote the reduction NO to N2 by CH4, a certain ratio of NO2/(NO+NO2) must be kept.
But for HZSM-5, it is not only active for NO oxidation, but also active for the reduction of NO2 to NO[10].
Reduction of NO2 to N2 takes place over the proton sites of the zeolite.

The grain size of the cold-rolled specimens decreased with increase of reduction rate, c.f., as the rolling reduction increased to 90%, grain size along the direction normal to the sheet decreased to about 8μm in thick.
At a reduction rate of 50%, the elastic deformation resulted in a further downward shift and an increase in diffraction peak width at the peak position than the reduction rate of 20%.
For the reduction rate of 90%, the peak width is further increased while the angle remains unchanged.
Obviously, the transition time decreases as the reduction rate and the annealing temperature increases.
Here, the JMAK model incorporates microhardness data, instead of relying on microstructure and use a unified equation.

Spectral data such as near-infrared spectrum and frequency spectrum can simply the modeling of the difficulty-to-measured parameters.
The latent variables space based feature extraction can successfully complete the dimension reduction and feature extraction of the spectral data.
Spectral data can simply the modeling.
The near-infrared spectral data come from http://www.ucl.ac.be, in which the data for learning and test are 150*700 and 68*700 respectively.
This approach can also be used to modeling high dimensional Radar and photometric data.

We should treat and reconstruction the data by such process as data smoothing, data reduction, segmentation processing, splicing and supplementary, then get a complete set of 3D point cloud data.
Measured data processing[4] Import the spliced and repaired full point cloud data into CATIA software, and transform the coordinate system to obtain the characteristics section data.
Figure 2a contains 126437 data points of the aircraft model point cloud.
Conclusion Based on the reverse design technology, 3D measurements for current product model are established by using three-dimensional laser instrument, after the treatment and reconstruction by such process as data smoothing, data reduction, segmentation processing, splicing and supplementary, 3D point cloud data with 126437 data points are get.
Curve fitting based on digitized section data in reverse engineering [J].

Introduction Alkali weight-reduction wastewater is from Alkali weight-reduction process which is designed to give the poly (ethylene terephthalate) (PET) textile a silky property, as well as to improve the dyeing capability.
Alkali weight-reduction wastewater discharged from the PET textile weight-reduction process of some plant was prepared.
A series of alkali weight-reduction wastewater samples are adjusted to various pHs with hydrochloric.
That is responsible for reduction of the recovery rate.
Ash content transmittance Recovery rate Purity (ppm) (%) (%) (%) A 510 85.2 93.6 96.7 B 2170 67.3 99.9 90.9 According to above data, it can be deduced that purifying mother liquid by coagulation-sedimentation is effective on improving the quality of recovered TA.

This is main issue we are interested in is knowledge simplification and reasoning decision rules from a finite data of a database of an uncertain information system.
Proof：For a knowledge uncertain system, If ，then ( 3.3 ) If the system does not exist a redundant data (i.e. no duplicates of an object, the same conditions correspond to the same result), then all of the objects of equivalent family in contained in equivalent family.
Step 1: Data normalization and discretization of attribute values in a decision information system is realized by way of methods of equal frequency, equal distance or central clustering and so on [10] so that a database of an uncertain information system is generalized.
Step 2: Based on theorem 3, examine whether the data of a comprehensive system is coordinated and the dependency property of condition attribution with decision attribution.
Based on theorem 3, it is easy to find data of CTR car database is coordinated.

In this study, elasto- plastic finite element analysis, laboratory rolling tests and inverse computing from skin pass mill process data has been carried out.
In this study, elasto- plastic finite element analysis, laboratory rolling tests and inverse computing from skin pass mill process data has been carried out.
This is achieved with a light reduction of about 0.8%.
The flow stress curves in depending on strain rate can be determinated using high speed tensile test, Hopkinson Split Bar (HSB)- test or calculating backwards from measured process data.
Unfortunately only few strips from process data have similar reductions and entry thickness. 1000 2000 3000 4000 5000 6000 7000 1000 2000 3000 4000 5000 6000 7000 Measured Roll force [kN] Calculated Roll force [kN] Figure 5.

In this paper, we give a fuzzy decision tree (simply FDT) induction algorithm, named FDTAmbig, to handle the classification with discrete attributes through the uncertainty reduction.
FDTAmbig selects the attribute which will cause the further reduction of uncertainty as the expanded attribute for each decision node.
We can regard this instance as a noise data.
However, FDTAmbig with q=0.95 can recognize this noise data effectively and terminates the growth opportunely when no uncertainty reduction occurs.
Liu, Multi-valued attribute and multi-labeled data decision tree algorithm, International Journal of Machine Learning and Cybernetics 2 (2) (2011) 67-74

The simulation analysis of cable-creating machine on Vibration and noise reduction Qingyue Zhang 1, a, Lingyan Zhao 1,a and Zijun Zhao2,b.
If we want to achieve the effect of noise reduction we must overcome the mechanical impact.
This will be able to have a better result of noise reduction.
[5] The Case western reserve University Bearing Data Center Website.
Bearing Data Center Seeded Fault Test Data[EB/OL]. [2009-08-23]. http://www.eecs.case.edu

The effect of noise reduction is obvious.
Up to now, the effect of noise reduction is obvious.
Thus we can achieve greater noise reduction effect.
The Characteristics of Muffler Noise reduction is effective, noise reduction is greater than 20 dB(A sound grade), loudness is reduced 75%.
Data can refer to table 1.