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Reduction of CO2 emissions and environmental and atmospheric pollution. 11.
Methodology The methodology is a technique to collect and analyze the data.
The data collecting use observation method; to observe how to install the EPS panel work in the projects, to find out the pros and cons the use the of materials.
The data collected from the literature and catalogue, will be analyzed and discussed.

When the motor speed is constant, through the cascade the reduction gear driving potentiometer rotation, until the voltage difference is zero, motor stop turning.
The PWM signal control precision The microcontroller of STC89C52 is eight, the data resolution for the 28 = 256, in order to precise control of its take whole get 250.
For example, through a serial port came eight data, they are respectively N0, N1, N2, N3, N5, N4 , N6 and N7, corresponding to each one of the P0mouth.
First need to the above 8 data from small sorting, let N is small to trigger produce down along, and at the same time, to the mouth of the corresponding for 0, in turn, in order to carry out, until eight every mouth for 0, then wait until cycle time to process ended 20 ms and cleared the corresponding a sign[3].

In accordance with this technique, the characteristics of dielectric inhomogeneities are obtained from the solution of inverse scattering problem [1] using the field data measured at different frequencies within the two-dimensional area over the inhomogeneity.
Fig. 1c illustrates the radiation field and the visible field reduction near the end of the inner probe conductor.
The frequency dependence of the complex reflection coefficient (S11) for one probe was selected as the data recorded from the network analyzer.
The initial data were normalized to the reflection coefficient from the homogeneous samples with no impurities.

On the other hand, the calculation method has been developed and the various data of structural elements and assemblies in high temperature are accumulated.
The data of them are derived using the standard of Korea [4, 5].
But the related data for the beams built up the fire resistant steel were not existent.
The following Figure 3 represents the reduction patterns for the beam designed with two fire resistant steels.

Experimental and numerical details IF steel which is one of BCC materials was cold-rolled up to thickness reduction of 70%.
Prior to applying CA algorithms to the EBSD measurement data whose area is 100x100 μm2 with a step size of 0.2 μm, evaluation of the stored deformation energy due to cold rolling was conducted by using subgrain method introduced by Choi and Cho [3] with subgrain identification angle of 2o.
Fig. 1 The measured EBSD data of the initial cold-rolled microstructure: (a) inverse pole figure map with respect to the normal direction and (b) crystal direction map representing approximated α-fibre (yellow) and γ-fibre (green) textures and the calculated stored deformation energy of the initial cold-rolled microstructure: (c) stored deformation energy map and (d) distribution of the calculated dislocation density.
Results and discussion The measured EBSD data after 70% cold rolling are given in Fig. 1.

After long time process like this, the performance of the high ones’ service will get reduction and the times of the running services’ failure will increase.
These units store the data associated with the node status
The nodes also need to put into a special data structure in order to start the election.
Because of that, the algorithm has no priority and downtimes as data members and the relative member function is needless.

The asphalt aggregate has been compacted molding in the flooded conditions will occur attenuation of mechanical strength because of the adhesion reduction between mineral aggregate and asphalt .Therefore, water stability of asphalt pavement is the study of the extent of decline of physical and mechanical properties about the asphalt aggregate has been compacted molding in the flooded conditions .Determination of the adhesion of loose aggregates wrapped overlying asphalt and the mechanical strength of asphalt aggregate has been compacted molding are two research directions about water stability of asphalt mixtures.
Analysis of test results The whole test is completed through pavement strength tester, test results are the average test values after excluding abnormal data, specific test results in Table 1 and Figure 1.
Table 1 Basalt fiber asphalt concrete freeze-thaw splitting strength ratio Fiber length（mm） Basalt fiber content（%） No freeze-thaw splitting strength（MPa） Splitting strength after freeze-thaw （MPa） Splitting strength ratio （%） 0 0 0.993 0.880 88.6 6 0.12 1.183 1.082 91.5 0.15 1.250 1.191 95.3 0.17 1.185 1.091 92.1 9 0.05 1.212 1.127 93.0 0.07 1.270 1.222 96.2 0.1 1.190 1.091 94.7 Figure 1 Mixing of different fiber lengths asphalt concrete freeze-thaw splitting strength ratio From the data in Table 1 and the trends in Figure 1 ,it can be seen that the asphalt concrete mixed basalt fiber is greater than without adding fiber asphalt concrete on splitting strength before and after freezing-thawing.
For the enhanced effect of 6mm and 9mm basalt fiber, it can be seen from the data in Table 1,there is only 1.57% difference between the maximum which 6mm basalt fiber correspond and the maximum which 9mm basalt fiber correspond, their difference in the size of the role is not very obvious.

A drain current Id and Vgs reduction is observed Fig. 3(a).
The conduction model has been fine-tuned by using experimental data set in order to have a good fit either threshold voltage or I-V characteristics also in saturation conditions.
Key parameters to gain a good match between experimental data and simulation output are the density of state energy profile localized at gate oxide Silicon Carbide interface, the anisotropic mobility values and the electron saturation velocity.
Conclusions In the present work, a Finite Element Model which takes into account the physical structure of MOSFET and the experimental test data, has been created.

Extracting potential rule from a large number of data is one of the focuses of researching on machine learning and data mining in the field of computer.
On this issue, machine learning and many other algorithms in the field of data mining can be applied.
[6]S T Roweis, L K Saul: Nonliear dimensionality reduction by locally linear embedding.

The average number of particles added was 6 (normalized average treating particle reductions as zero added).
Figure 5: XPS data comparing both processes Figure 6: Particle performance of HF vapor chamber To successfully implement the HF vapor cleaning process, it is critical to control the formation of aerosol droplets which may produce Light Point Defects (LPDs) on surface particle monitoring equipment.
Table II shows particle data dependence on the HF vapor cleaning conditions.
Particle map @ 0.12μm (a) (b) Added particle level > 10,000 ea < 50 ea N2:HFv 5 lpm:2 lpm 10 lpm:1 lpm N2/HFv nozzle Side/Bottom Side HF Temp 20 oC 18 oC Tox E/R 30 Å ~66 Å /20s 18 Å /50s Table II: HF vapor cleaned particle data; (a) High particle level HF vapor cleaning condition, (b) Low particle level HF vapor cleaning condition The modified wet-clean followed by HF vapor cleaning show that electrical parameters such as threshold voltage(Vt), P+ poly gate Rs, electrical gate oxide thickness, and gate oxide breakdown voltage(BV) are all the same compared to conventional wet cleaning conditions (Fig 7).