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Parameters M=10,r=0.10,T=1, are firstly chosen and time period of [0,T] is divided into 100 parts with the mesh size , according to data on the clause.
The variance reduction ratios have a increase tendency as the reversion speed increases from Fig.2.
Therefore, the correlation between the control variate and the original problem is bigger and the variance reduction effect is better.
Then from Fig.3, we can see the variance reduction ratios have a little decrease tendency as the reversion mean increases.
However, the control variate algorithm also has a good variance reduction effect.

For data fusion, usually adopt threshold comparison, advanced data shift average filter, eeruf methods [6], artificial potential field (APF) [8], fuzzy algorithm [9] and vector field histogram (VFH) [3].
Section 3 introduces data process and simulation.
Data Process and Simulations Next to overall scanning, the range information stored in memory, each 1.8° interval direction had two readings (except 0° and 180° data).
In the view of the disadvantages of sonar, especially frequent misreading, besides this, the amount of the acquired data is so huge that we need to do reduction and eliminate false readings to improve data accuracy.
(2) Fig. 3 Rotation Scanning Illustration Fig. 4 Data Group Process After data reduction, the subsequent work is to build a concise and explicit world model.

The FTIR measurements showed the presence of bioactive compounds in the extract responsible for the efficient reduction of silver ions and stabilization of the AgNPs.
Based on the principle of green chemistry, we investigated a green approach for preparation of AgNPs by the reduction of Ag+ ions to Ag° with bio-reductants in the leaf extract of Piper betle L.
The overall reduction reaction process took place in dark to avoid unnecessary photochemical reactions.
The reduction reaction was almost completed within 4 h because the SPR intensity relatively slightly increased after this time.
Furthermore, the diffraction peaks data of the AgNPs were in accordance with the reports of the face center cubic (FCC) structure [11-13].

Especially, the AlN and SiC thin films exhibit pronounced thermal conductivity reduction because of the size effect.
Considering that the electron mean free path is generally tens of nanometers, these results are consistent with the fact that the thermal conductivity reduction by the thin-film size effect is not significant for these materials.
Accordingly, it can be claimed that the substantial reduction of Al0.97Ti0.03 thermal conductivity is mainly by the impurity scattering of Ti atoms, not by the increased electron scattering from the microstructure change.
Error analysis shows that the bias of the measured data is mainly by effect Fig. 2.

Magnetic nanocomposite (Fe3O4@ TiO2) were obtained by a reduction process with the above α-Fe2O3@ TiO2 products as starting materials by hydrothermal synthesis method using hydrazine hydrate as reductant.
The Fe3O4@TiO2 was prepared by a reduction process with the above α-Fe2O3 @TiO2 products as the starting materials.
SEM (a), TEM (b, c) and EDS (d) of the as-prepared α-Fe2O3 nanocapsules Figure 2 show the XRD patterns of the as-prepared α-Fe2O3 nanocapsules, it is evident that all of the expected peaks can be indexed to the α-Fe2O3 and a=b=5.038, c=13.772, which are in good agreement with the reference data (JCPDS NO. 72-0496).
And then the above α-Fe2O3 sample’s outer surface were coated with TiO2, next magnetic photocatalyst (Fe3O4@ TiO2) were prepared by a reduction process with the above α-Fe2O3@ TiO2 products as starting materials.

The global plant data contains heat balance diagram, power level, plant period, steam cycle, and water treatment data.
The operating thermal hydraulic data based on the Final Safety Analysis Report (FSAR) for a given plant is inputted as steam cycle data.
The inspection data should be carefully reviewed to identify any data that is judged to be in error.
Once the data set is acceptable, any wear region on the component should be identified.
If these elbows are inspected after a few operating cycles without baseline data, the difference of the initial thickness in a given component can be considered as thickness reduction, under any given method.

This has prompted the Kyoto protocol to set an overall framework to limit global warming through the reduction of GHG emissions by 50-85% in 2050.
With the wind and solar data, the optimization model developed in this work is utilized to assess the relationship between the load demand, battery dynamic and local wind and solar resources as well as their effects on the optimal operation of the proposed microgrid system.
v Reduction of GHG emissions.
v Reduction of over dependence on fossil fuel.
The FC of the diesel generator is modelled by using quadratic polynomial methods based on the fuel consumption data and load patterns as expressed in eq. (2) [7].

The level of influence that the process parameters exert on the surface roughness is analyzed by Taguchi method data analysis.
The final results will be used as data for future research.
Similar investigations were carried out by [6] using Taguchi and ANOVA methods to investigate which the cutting parameter has the greatest influence on the surface roughness and on the cutting time reduction, in the study of LM-26 aluminum alloy.
Thus, in order to determining the factors’ levels for quality criteria optimization, it is found that: - Factor C - feed per tooth - and more specifically the first level of factor C, is the most important in dispersion reduction, and also in achieving the best possible surface roughness; - The same thing can be said about the factor A - cutting speed - but to a lesser degree, in this case choosing the second level; - Also, in order to reduce the dispersion results, it’s essential to choose the first level of factor B - cutting depth; - Regarding the combination of factors, those that provide the most favorable interactions on dispersion reduction of the cutting process are: B1C1, A1C2 and A1B1.

The difference in size reduction is similar for alkaline batteries, when both equipments are used (Fig. 2(b)).
For saline batteries a significant difference on size reduction is obtained with each cutting system as showed in Fig. 3(b).
With the grab shredder 50% of saline battery weight had a size reduction higher than 72%, while with the cutting mill the corresponding size reduction was 52%.
Metal recoveries obtained in each granulometric fraction are important data, because allow to evaluate the selectivity, namely to determine the maximum selectivity point, where the separation between valuable metals (Zn plus Mn) and the scrap (Fe) is optimized.
Better results were obtained for size reduction with the grab shredder.

Thus, a reduction of the cell smallest photocurrent results in the decrease of ISC of the whole SC and its efficiency.
Diffusion length reduction increases the recombination current density and decreases the open circuit voltage.
The cell structure radiation damages cause the MCC diffusion length reduction, which results in the photocurrent degradation.
Data on material damage coefficients for the Ga(In)As layers were taken from [17], and values of the MCC diffusion lengths before irradiation – from [16].
However, the application of such cells lead to reduction of the power of the solar array in the initial (before 10 years) period.