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The latter condition implies that crack densities used in data reduction should be significantly lower than the saturation value [3] ρk,max when the distance between cracks ≈tk.
Data following Weibull distribution will have linear dependence.
Using linear fit to these data we obtain parameters m and σin0.
In Fig. 2 the Monte Carlo simulation results are compared with experimental data.
Experimental data are presented with symbols, three simulations as curves.

The objective of this paper is to establish and manage the study group of Thailand and conduct the research activities and create the possible scenario stories of Thailand under the global trend of carbon reduction.
Set of individual measures related to energy efficiency, renewable energy, and fuel switching has been quantified to present to potential of greenhouse gases reduction in 2030.
Green products and renewable energy technologies are widely deployed to the market and replace conventional technology due to the requirement of carbon reduction. 5) Discuss on possibilities of future choice: After getting an idea of uncertainty range, the scenario tree are created based on the combination of three selected drivers as shown in Fig. 2.
If the picture of technological development is negative, it would be impossible to make government and societies have their own incentive to have strong awareness and challenge target of CO2 reduction at the same time.
Furthermore, the obtained scenarios would be significant input data for simulation of Thailand development outlook, focusing on balance of Economic, Environment, Energy and Social development (3E&1S) for Low Carbon Societies (LCS).

The maximum emission intensity for this spherical blue phosphor was obtained by reduction treatment at 1450°C.
On the other hand, the relative emission intensity of the synthesized phosphor rises with increasing reduction temperature.
Accordingly, it can be evaluated that the optimum reduction temperature for spherical BAM particles synthesized by the two-stage precipitation method is 1450°C.
However, the optimized reduction temperature for the spherical phosphor was 1450°C on the basis of VUV-PL data.

Figure 1 shows the change in dislocation density of cold-rolled ferritic iron sheets as a function of thickness reduction by cold rolling.
The dislocation density rapidly increases in the early stage of cold rolling below 10% reduction and then shows a gradual increase after that.
Dislocation density, ρ/m-2 0 20 40 60 80 100 Thickness reduction by cold-rolling (%) Annealed iron 1012 1016 1015 1014 1013 Measured plane Dislocation density of low-C martensite [3] IF ferrite Pure iron Low alloy ferrite [3] Dislocation density, ρ/m-2 0 20 40 60 80 100 0 20 40 60 80 100 Thickness reduction by cold-rolling (%) Annealed iron 1012 1016 1015 1014 1013 1012 1016 1015 1014 1013 Measured plane Measured plane Dislocation density of low-C martensite [3] IF ferrite Pure iron Low alloy ferrite [3] IF ferriteIF ferrite Pure ironPure iron Low alloy ferrite [3] Low alloy ferrite [3] Fig. 1 Change in dislocation density of cold-rolled ferritic iron sheets as a function of thickness reduction by cold rolling.
Data of low carbon martensitic steel are also shown in the figure.
The hardness of low carbon martensite is also shown for reference [3] the data shown in Fig. 5, 1.0 3 1 −= HV0.2σ .

Corrosion is one of the problems in the industrial world since the corrosion causes material failures that lead to damage to the equipment or failures in operations which bring to the amount of losses [3], some facts, based on data released by The Europe Gas the Pipeline Incident Group, show that the failure rate of the piping system that occurs in the European region alone is 0.575 per 100 km per year.
This can be seen from the value of the corrosion rate, where samples at a concentration variation of 4% at a temperature of 30°C and 50°C with testing for six days still have not experienced a reduction in weight and a weight reduction occurs at 70°C with a weight reduction of 0.001grams and the corrosion rate is 0.00751 mm/year.
The weight reduction occurs at 70 ° C with a weight reduction of 0.001 grams and the corrosion rate is 0.00751 mm / year.
Based on the test data, the concentration that can reduce the best corrosion rate of sodium nitrite is 4%.
This uniform corrosion causes a uniform reduction in thickness on the metal surface.

The electrochemical reduction technology used as a kind of good controll ability reduction technology, it can degrade HOCs in the wastewaters effectively.
But the mechanism of electrochemical reduction reaction of iodobenzoci acids has seldom been reported.
To acquire in situ FTIR data, two hundred interferograms were collected at each potential at a resolution 8 cm-1.
During the cathodic potential sacnning, the reduction of OIBA began at -900 mV.
Ti and Pt electrodes were also chosen as cathodes for electrochemical reduction of OIBA for comparison, as shown in Fig. 1.

PCA is a data analysis and reduction technique widely used in the method of statistical analysis, which is suitable to evaluate multivariate objectively.
Standard processing of the original data can homogeneity of data set reflected the rate of contribution for each parameter.
Three major data standardization method are data centralization, deviation standardization and data normalization.
Table 2 gives the standardize data of parameters, which calculated by centralizing data from the raw date of parameters with 0 mean and 1 variance.
The data in each row of Table 5 representative the weight of variables for each principal component.

The regression R2 values after IDWT were increased effectively when compared with original data without IDWT.
The spectral data of several elements were preprocessed by IDWT, and the results were compared with the original data.
The spectral data and the corresponding fitting curve are used for adjusting the tube voltage.
After using IDWT to process the spectral data, the fitting curve at 5kV is also obtained in Fig. 8.
After using IDWT to process the spectral data, the fitting curve at 45kV is also obtained in Fig. 11.

The data presented here is based on limited available data.
The melt loss data comparing pouring with siphoning is based largely on actual measurements.
Available data suggests metal loss from filling a holding furnace by siphoning can be less than 0.2%, i.e. a 75% reduction when compared with that typically lost during cascade pouring. [2] Automated Siphoning The Automated metal siphon works in a different way to a conventional siphon.
Furnace contents are estimated from the furnace tilt angle by a process computer, which automatically keeps the smelter updated via an electronic data link.
(Fig 6) Crucible transfer - heat loss through a siphon from ref. [2] and author's own cascade pouring data Furnace holding - typical heat energy consumption for two furnaces from ref. [4] (Fig 1) and. author's own data for single furnace with improved insulation (Fig 6) Ingot casting - typical ingot casting temperatures converted to heat loss (Fig 1) and author's estimate of 50% saving from heat recovered from cooling water Melt Losses: Crucible transport - melt loss at temperature data from ref [1,7], using typical surface areas for 60 min (Fig 1) and 30 min (Fig 6) Crucible transfer - melt loss through a siphon (Fig 1) and for cascade pouring (Fig 6) from ref. [2] Furnace holding - melt loss at temperature data from ref [1,7], using typical furnace surface areas for two furnaces (Fig 1) and one furnace (Fig 6) Ingot casting - oxide rate data from ref [5] converted to melt loss for typical (Fig 1) and improved ingot casting systems(Fig

With DPS 9.50 data processing system these mathematical models are set up.
Fig.1 Structural diagram of seed-metering device Fig.2 Performance test bench 1 seed box；2 vibrators；3 pressure bar；4 star wheel；5 sprocket；6 chain；7 land wheel；8 sprocket wheel；9 elastomer；10 metal plate；11 cavity；12 guide pipe；13 sowing exit；14 pressure spring； 15 pressure wheel；16 pressure spring 1 test control desk；2 pulley；3 frame；4 transmission belt；5 speed -reduction motor；6 belt；7 wheel；8 glue plate；9 speed reduction motor； 10 chain；11 seed-metering device Test Material, Test Equipments and Test Method Test Material.
The speed-reduction motor provided power for the relative movement of the seed-metering device and the ground.
Table 1 Coding table of factor levels Factors +γ +1 0 -1 -γ △j Motion velocity x1 (m/s) 2.8 2.51 1.8 1.09 0.8 0.71 Rotate velocity x2(r/min) 60 54.14 40 25.86 20 14.14 Analysis of Test Results The influences of motion velocity and rotate velocity on CV of seeding uniformity in the lines, CV of seeding consistency between the lines and CV of seeding rate stability are analyzed by DPS 9.50 data processing system.