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The removal of the data correlation is the obvious characteristics of wavelet transform which makes it become the mainly theoretical basis of the wavelet threshold shrinkage method.
Table.1 PSNR comparison by application of different denoising threshold functions Performance indicators Hard threshold Soft threshold Improved threshold PSNR(db) 80.2977 85.5973 86.4144 The data in Table 1 shows that the peak signal-to-noise ratio is higher than the application of traditional soft and hard threshold results.
Table.2 MSE comparison by application of different denoising threshold functions Performance indicators Hard threshold Soft threshold Improved threshold MSE 2.6439×10-4 1.7921×10-4 1.4857×10-4 The data in Table 2 shows that the mean squared error is lower than the application of traditional soft and hard threshold results.
Compared to the application of the traditional soft and hard threshold function noise reduction, the application of improved threshold function could get a better peak signal-to-noise ratio, mean square error and noise reduction effect.
[7] D.L.Donoho,Nonlinear Wavelet Methods for Recovery Signals,Densities,and Spectra from Indirect and Noisy Data[J].Proc.of Symp,1993,100:173-205 [8] D.L.Donoho, I.M.Johnstone.

Abdeen Mustafa Omer (2007) thought that we should be energy conservation and emissions reduction.
After reviewing and collecting relevant data, consulting relevant experts and carrying out other methods, we implement the preliminary screening of these indicators on the basis of the actual situation.
Specific building process, the first is the indicator reduction and filtering.
Rough set theory cannot deal directly with continuous indicator, so before the application of rough set methods of indicator screening, we should first through continuous indicator data discretization processing into discrete indicator data.
After scoring data preprocessing, we can get the evaluation indicator information table (see table 2).

(6) Reduction in carbon dioxide.
After the 96 pieces of data were collected, one optimum combination was and applied on the green roof as planting substrate to evaluate the performance of thermal insulation.
Apart from the surface temperature, air temperature, relative humidity, solar radiation, and precipitation data were observed as weather conditions at a separate measuring station on the roof.
A GRAPHTEC data logger (GL-450AS) with 20 channels and a GRAPHTEC midi LOGGER (GL200-UM-151) with 10 channels were employed to record the data.
The data of September 13, 2010 are used for the detailed discussion because it has the highest temperature in that month.

On the contrary, the optimization-based approach requires only experimental or simulated data that can reduce energy use with a lower cost.
The Pareto plot obtained by engineering data mining, in which the data file is collected from the solution of the NSGA2 algorithm.
Collecting manufacturing data - Analysis of whole process chain In the first step, the profound analysis related to whole process chain is conducted.
The objective of this survey, a key starting point for research, is to gain not only an overview of the general on-site of target values but also specifically manufacturing data.
For this purpose, the relevant data was collected in the KOFCO company (industrial project partner).

According the data, it is estimated that Indonesia’s palm oil production will increase to 45 million tonnes of total CPO production in 2020.
According to the data, ZAL Mg2+ had SiO2/Al2O3 mole ratio of 8.8 and ZAL- Fe2+ of 9.957, while physical activated ZAL’s mole ratio was 8.913.
Initial condition data is shown in Table 6.
Initial Condition Data Modified ZAL pH SCOD [mg/L] VFA [mg/L] [%]VS [%]TS Physical Act.
[6] Asriani, Profil Lampung Mencakup Data Penduduk Sumber Daya Alam dan Ekonomi Makro, 2008

In the first stage, 50 groups of the training data without noise.
In the second stage, 50 groups of the training data with noise.
These data are generated with above data and noise.
The difference of two methods is that training data and examining data are normalized in method II, but not in method I.
All failures can be identified if the data without noise.

The literature data showed that nickel-based catalysts presented high activity in dry reforming of methane reaction [5-7].
The data were recorded by TCD from 100 °C to 900 °C.
The data was recorded from 50 °C to 900 °C.
Crystallite sizes of Ni0 determined by XRD after reduction at 700 °C for 1 hour and after reaction at 700 °C for 8 hours.
The content of Ni2+ determined by XPS after reduction and after reaction.

Collected Experimental Data In the following, the experimental data collected from 83 diagonal compression tests (Fig. 2a) on tuff masonry panels carried out at University of Naples Federico II are analyzed.
The collected data consist of 18 tests on unreinforced masonry (URM) panels and 65 tests on strengthened panels, out of which 10 with RP, 22 with CRM and 33 with FRCM systems.
Diagonal compression tests (a) and strengthening configurations for collected data (b).
Collected data.
Then, the effectiveness of such systems is investigated based on the experimental data collected from 83 diagonal compression tests carried out at University of Naples Federico II.

In this paper, a peroxide-tertiary amine oxidation-reduction initiator system was used to synthesize a cross-linked polyacrylamide/bentonite composite at room temperature.
Fig.1 FTIR spectra of Na-bentonite, PAM, and the Na-BNT/PAM composite XRD.As seen in Fig.2, XRD test data demonstrates that the d(001) peak of natural Na-bentonite is 1.2455nm.
Conclusions A peroxide-tertiary amine oxidation-reduction initiator system was used to synthesize a cross-linked polyacrylamide/bentonite composite at room temperature.

Optimized interpolation procedures for the PGFs can be applied, resulting in a considerable reduction of matrix-filling time without any significant effect on the accuracy.
We compare the results obtained using our approach with the results obtained using the time-domain finite element method and the measured data.
A linear interpolation method was designed for the fast and accurate interpolation of 3-D PGF, resulting in a considerable reduction of matrix-filling time.