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Table 1 Coefficients obtained by fitting function described by Eq. 1 to evolution of drop radius experimental data from Figure 2 CYTOP TEFLON ro [mm] a [mm] τ [s] ro [mm] a [mm] τ [s] 0.025 wt % 2.023 0.747 2.52 1.652 0.514 1.12 0.0625 wt % 2.001 0.649 1.14 1.643 0.434 0.54 0.125 wt % 2.005 0.582 0.42 1.678 0.421 0.46 Although the final drop radius was the same for all investigated solutions (Figure 2), coefficient a was found to decrease with increasing concentration.
This is in agreement with coefficients values obtained by fitting exponential function to our experimental data (Table 1).
Table 2 Coefficients obtained by fitting exponential function described by Eq. 2 to evolution of contact angle experimental data from Figure 3 CYTOP TEFLON θo [°] a [°] τ [s] θo [°] a [°] τ [s] 0.025 wt % 30.65 34.16 2.05 52.12 21.24 1.14 0.0625 wt % 30.27 30.17 1.09 52.51 20.74 0.63 0.125 wt % 30.39 27.15 0.35 52.10 18.02 0.52 The values of τ were also found to decrease with the surfactant concentration (Table 1).
More prominent reduction of τ values was noticed during wetting on Cytop, compared to that on Teflon.
Same trends were observed in reduction of the contact angle with time (Figure 3).

Introduction As an important part of city construction, industry park has been dramatically developed in recent years which made it both the subject of implementation and the crucial part in low carbon emission reduction.
It was an important way to achieve emission reduction, and the improvement of infrastructure can be a perfect hardware insurance for the park[1].
Planning control path of LCIP based on GI Planning control path of LCIP (based on GI) was a new industry park system operating on GIS (geographic information system), which can coalesce low carbon energy-saving, industry cycle complementary and low carbon economy principles through ecological hub and corridor analysis after a comprehensive study on data about intensive land-use, physical geography, transportation, ecosystem protection and so on.
As the fig1 above, we should first find the key point, set target, then make a master plan and collect data, analyze all the elements and layouts to the detail of implementation and conduction.
prediction of production scale in industrial zone scale of the enterprise GI total scale GI Factor and arrangement GI action and management carbon-oxygen equilibrium SWOT analysis evaluation of heating effect in green land coordinate the scale collect the data analysis and evaluation detailed design ecological and elastic pattern economical profit of land unification of ecology, society and economic benefit Design and control play the key point identify the target Fig.1.

To analyse qualitatively, the data were grouped into categories: 10%≥S>20%; 20%≥SI>30%; 30%≥SI>40% and 40%≥SI>50%.
This analysis becomes more evident when the data are represented by concrete type (Figure 3a) and it is verified that the correlations of LTWAC1 and LTWAC2, which has presented SI lower than 30%, are not good: 0,0742 and 0,0392, respectively.
In the same way, this analysis becomes more evident when the data are represented by concrete type (Figure 3b) and it is verified that the correlations of LTWAC1 and LTWAC2, which has presented SIs lower than 25%, are very poor: 0,0003 and 0,0167, respectively.
The volumetric fraction of aggregates – related to the theoretical densities in this paper - also affected the reduction of compressive strength due segregation.
Concretes manufactured in one layer, and with density of 1700 kg/m3 presented higher reductions of compressive strength due segregation than concretes with theoretical densities of 1900 kg/m3 (one layer).

Experimental results of two sizes if filler shown that fine filler mold compound exhibited in reduction of gate chip off formation, compared to normal filler mold compound.
The demand for microelectronics package has increased tremendously in recent years because of the reduction in size of electrical components.
DOE is a technique widely used by many scientists and engineers to structure the data collection process for reducing trial and error.
DOE suggests various designs, which can reduce the number of data points to collect, while at the same time collecting sufficient data for analytical objectives [4,5].
This would lead to the reduction of possibility of gate chip off formation due higher strength of gate at fine mold compound than normal mold compund.

Though there is a lack of experimental data for high Cr steels by X-ray microtomography currently, but (b) has provided reference value for studying creep cavitation behavior in high Cr steels.
The creep data is very limited, and the extrapolation if such data using the conventional empirical methods may not be reliable.
The quantitative data also validated the description of creep damage by numerical methods.
The quantitative data provide a function of describing nucleation, growth and coalescent with creep damage exposed time in dual phase steels, but yet getting in high Cr steel.
Further work should be provided more experimental data of X-ray tomography for high Cr steels need to quantify the experimental data of X-ray tomography for high Cr steels from planning new experiments and develop new creep cavitation model that the fundamental work for the development new creep damage constitutive equations for high Cr steels under high temperature at low stress.

To investigate the effect of different amount of CFRP strengthening pre-stressed concrete hollow-core slabs and the capacity calculation methods, test data of six slabs reinforced with CFRP at different amount were compared to obtain a available calculation formula of flexural capacity.
Fig.2 The failure stress and strain diagram （1） Type 1 of T-shaped cross-section (2.1) （2） Type 2 of T-shaped cross-section (2.2) In the formula (2),x is the height of concrete in compression zone,is the reduction factor of CFRP,is the ratio of equivalent rectangular stress strength and maximum stress of concrete in compression zone, is the allowed tensile strain of CFRP,is the elasticity modulus of CFRP, is the thickness reduction factor of CFRP, is the layer of CFRP, is the thickness of single CFRP,is the cross-sectional area,is the area of tensile steel, is the tensile strength of tensile steel, is the axial compressive strength of concrete.

The three most issue in identification are data, model and the estimation method [2].
To have a successful identification, we should be able to collect data in a wide range of helicopter operating points.
By this controller, data collection is possible using proper excitation signal.
Low sampling time cause loss of data.
The excitation signal designed to make rich input-output data.

According to the data obtained, the at% of Al2O3 in the deposit increases sharply with increasing the concentration of Al2O3 in the electrolyte and attains the optimum values at 14.4 at% at 30 g/l Al2O3 suspension in the bath.
The data obtained in this investigation can be explained in terms of adsorption of Al2O3 on the cathode surface.
As a result, the reduction of copper ions is controlled by concentration overpotential, the amount of codeposition of Al2O3 particles gradually decreases.
This results in the reduction of the diffusion layer thickness and it is accompanied by the increasing of the metallic ion concentration in the diffusion layer.

Fig.2 Cutting unit reduction gear mechanism Fig.3 Traction unit reduction gear mechanism 2.2 Conditions of coal face and equipment The general arrangement of coal face is shown in Fig.4.
The data of the vibration signal is recorded by using a recording instrument.
After retrieving the vibration data from the working face successfully, we analyzed the signals.

PCA is used to process the sample data (here R software is used).
Evaluation indicators of the real estate project become 4 after reduction by PCA.
Then after the training results completed, all the calibration data are input to produce the last comprehensive-evaluation score, which is shown in table 3.
Intelligent parameter reduction using rough sets theory and sensitivity analysis.