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E-mail: jinliguo@hrbust.edu.cn Keywords:Grapheme/platinum; EHD; in-situ reduction; counter electrode Abstract.
Graphene/platinum composite gel was prepared with chloroplatinic acid and graphene oxide (GO) as precursors by in-situ reduction method.
Platinum has high catalytic activity toward I3- reduction and is sufficiently corrosion-resistant to iodine compound present in the electrolyte [5].
The overall Raman peak intensities are diminished after reduction treatment, suggesting loss of carbon during reduction [12].
Fig.3 Raman spectra of GO and RGO Electrical Properties Analysis Fig. 4(a) shows the representative current density-voltage characteristics with the numerical data listed in Table 1.

Compare of power flow’s data between BPA and PSS/E According to the bus data, BPA’s bus data contains the generator data, load data, while these three types of data need fill in separately in PSS/E; BPA’s node types have a clear rules and do not support the isolated bus, and PSS/E’s node types have load bus, generator or power plant node, balance nodes and isolated bus.
According to the generator data, PSS/E turns step-up transformer of factory station into generator node data, while the BPA separately fill in bus data and transformer data.
In order to avoid misunderstanding to fill in the data, we suggest filling in the data top grid.
Compare of stability data between BPA and PSS/E 1) Generator’s dynamic data.
It is through filling in the control and protection data card to realize the low pressure low frequency load reduction model.

Fig.2(b) shows the effects of strip profile by the variation of reduction ratio, with the increase of reduction ratio, the profile varied from middle waves to edge waves.
When the reduction ratio is 20%, a better profile result is obtained.
That mean the middle wave is increased with the reduction ratio increase.
The online measuring data before application and after application are obtained.
As shown in Fig.5(a)-(d), the crown and flatness data have significantly descent, and good performance of profile control is obtained. 0 2 4 6 8 10 1 20 39 58 77 96 115 C h ( u m ) Ch 0 2 4 6 8 10 1 20 39 58 77 96 115 F l a A v e ( I U ) FlaAve (a) (b) 0 2 4 6 8 10 1 20 39 58 77 96 115 C h ( u m ) Ch 0 1 2 3 4 5 6 1 20 39 58 77 96 115 F l a A v e ( I U ) FlaAve (c) (d) Fig.5 Comparison of measuring data before and after application of preset schedule Conclusion A elasto-plastic finite element method code has been developed to simulate the asymmetrical rolling of strip, considering unequal roll radii, unequal speed ratio between the upper roll and lower roll, different exit thickness and different reduction.

Clinical data are inevitably incomplete, and most knowledge discovery algorithms lack the capability to contend with missing data.
Flow-graph confers some distinct advantages in data mining and knowledge discovery.
However, flow-graph methodology is not able to comprehensively solve the incomplete data problem.
Amy, Missing-data methods for generalized linear models: a comparative review.
Rough sets, Fuzzy sets ,Data Mining and Granular Computing, Springer, 2005:1-11

Typical raw data obtained from cone calorimetry are plotted in Figure 1 which shows the evolution of heat given out during combustion of the samples.
Increasing nanoclay concentration clearly improves fire performance as evidenced through a systematic reduction in PHRR.
Cone calorimetry data showing the effect of processing temperature on the nanocomposites.
The PHRR results are detailed in Table 1 which highlights reductions in the order of 27%, 14% and 19% for the samples processed at 240°C, 255°C and 270°C while a reduction in PHRR of 40% was achieved for the samples process at 220°C.
Raw data of burnt samples obtained from cone calorimetry assessment.

When the data of phase angle is unavailable, the balancing can still be performed by using four-run method [3].
The experimental set up consists of rotor equipment, accelerometers, a data collector and a digital balance.
The data collector then records the measured vibration readings.
Table 2: Vibration reductions for the single-plane balancing B.
Those figures can be summarized in Table 4 in terms of the vibration reductions.

Determination of the Anchorage Depth of Rigid Anti-slide Piles Based on Biparameter Method Yanzhi Wu Department of Civil Engineering, Hefei University, Hefei 230022, China wuyanzhill@126.com Keywords:biparameter method;strength reduction;anti-slide pile;anchorage depth Abstract: In order to improve the design and calculation of anti-slide piles, the design method is proposed which can calculate anchorage depth of rigid piles based on bi-parameter mode of foundation coefficient and the corresponding formula is deduced in details.
In case of the data of testing piles given, calculation results can perfectly coincide with measurements with foundation coefficients adjusted.
The safety grade of slope is three level and the corresponding strength reduction factor is Fs=1.20.
When there are data of top displacement of piles and bending moment from testing piles, Calculation results of displacement on pile top and maximum bending moment of pile and its location can perfectly coincide with measured values using the double-parameter method with foundation coefficients m and n adjusted.
Therefore, in case of the data of testing piles given trial computations are applied to make calculation results of displacement on pile top and maximum bending moment of pile and its location coincide with measured values perfectly using the double-parameter method with foundation coefficients m and n adjusted.

Comparsion between calculating data and test results Comparision between test data of cold-formed thin-walled lipped channel columns under axial compression [16] and calculating data of the methods above is provided graphically in Fig. 3.
Due to too much deviation between calculating data of Applied Calculation Method and test data (exceeding 123%), there is no display in Fig. 3.
Pt is test data, Pc is calculated value.
(1) Direct Strength Method is a reasonable predictor in that the data are in agreement with test data for 26% of the maximum residual and less than 14% of general residual.
(3) The data from the method in Australian/New Zealand standard is unsafe as a whole and has significantly discreteness

This study was initially performed via an in-depth analysis of historic production data.
Analysis of Production Data.
Variability existed between the presses in terms of heating capacity and gas delivery system, hence the production data was analysed individually for each press and read-across between the presses was made during post-analysis of the data.
The data gathered from each press was analysed and mapped for each phase of the SPF inflation cycle via the Supported Vector Machine (SVM) data mining approach to establish patterns and correlations between key process variables and process outputs.
The incorporation of interfacial shearing resulted in a significant reduction in sample surface quality with respect to d when compared to the benchmark data (p < 0.05) (Fig. 3).

The concentration reductions were greater in soil-plant system compared with contrast.
Data analysis.The inflow and outflow concentrations are calculated for sediment and nutrient removal efficiency.
The data are analyzed by EXCEL and Origin Pro 8.0.
Inflow concentration effect.In this study, concentrations used here (Table1) are summarized from related data in literatures and the compared results are showed in Fig3.
All the reductions generally decreased with increasing concentrations.