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Corporate earnings may reflect the lower costs, as a business enabler of operations, IT has already permeated every aspect of  the value chain, and it can change the cost of business in each link of value chain, such as lower labor costs and inventory costs, with the reduction of error rates and operational cycle time etc., operational performance can promote synergy between  the business sector, get more accurate and real-time access to information, and reduce information asymmetry phenomenon,  reducing coordination costs and transaction costs and shorten the time of processes  to improve financial performance, therefore, this study proposes and tests the following hypothesis: H2: Operational performance has a positive and significant impact on financial performance.
Hypothesis Test SPSS 14.0 edition is used to analyse sample datas in this paper, reliability analysis of sample data indicates that the measured variable Cronbach's α value is bigger than 0.8, and it’s acceptable.
Operational performance has a significantly positive impact on financial performance, the test results validate that reduction of cost based on operational performance facilitates access to financial performance.

From the data reported in Table 1, it can also be noticed that the maximum particle size of the purchased Nb:Al:Ti master alloy is significantly greater with respect to the other powders.
Milling time [min] D10 [µm] D50 [µm] D90 [µm] 15 5.83 24.55 108.97 30 4.94 17.84 54.34 45 2.47 20.08 98.15 60 2.23 17.90 79.76 75 4.36 12.59 45.18 90 1.99 12.31 49.89 From the data reported in Table 2, it can be seen that the maximum particle size of the master alloy is drastically reduced already after 15 minutes of milling.
Considering the data of the cold uniaxially P&S Ti-6Al-7Nb samples shown in Figure 8 a), it can be seen that the density of the specimens increases with the increment of the processing temperature and the trend can be represented by an asymptotic curves.
The relative density values calculated from the data shown in Figure 8 range between 97.4% and 98.0% and, thus, a total percentage of residual porosity which decreases from 2.6% to 2.0% (Figure 8 b).
From the data of the density of the IHP Ti-6Al-7Nb samples, a significant increment of the final density is measured when increasing the sintering temperature from 1100ºC to 1300ºC.

We assign the initial data for , and also the law of external moments . 2.
Let’s substitute in the Lagrange equation, corresponding to, the initial data instead of the unknowns . 4.
Let’s substitute the initial data instead of the unknowns and the found value instead of in the Lagrange equation, corresponding to . 6.
Let’s substitute the initial data instead of and the just found values instead of and in the Lagrange equation, corresponding to . 8.
Let’s substitute the initial data instead of and the just found values instead of in the Lagrange equation, corresponding to . 10.

This paper based on CFD software (Fluent) and sound vibration analysis software (SYSNOISE), aimed at research difficulties of internal flow noise for the model centrifugal pump, via the data interface between Fluent and SYSNOISE, and used the CFD and acoustic solver coupling method to solve the internal flow noise in centrifugal pump.
Noise calculation The flow-induced noise in the internal flow field of the diffuser is mainly caused by the pressure pulsation of the inner surface of the volute, and based on this data of the unsteady surface force to calculate dipole radiation source distribution and the sound field.
Data and *.
Fig. 7 Data interface between Fluent and SYSNOISE Rev5.6 In this paper, the DBEM (direct boundary element) was used as a calculation method.
Fig. 8 Sketch of the mesh The grid data of the corresponding pressure pulsation were imported as acoustic grid to produce sound source.

Start PID N Preset Temperature Sp Steam valve open maximum Fuzzy Control Nitration Tower Data Collection END 0.9Sp>Uf 0.8Sp>Uf Y Y N N Finish?
Mitsubishi PLC collects the nitration tower temperature data, compares it with the set value, gets and transfers the error through A/D transformation module.
PLC software design features include alarm, data acquisition, data processing of fuzzy control.
After fitting several measurement data, the results are: K= 0.8, T1= 100, T2= 12, τ= 60s, sampling time T= 10s.
PID controller based on fuzzy control applications in warm water automatic reduction.

I BA =           =           −− −− ×           −−=× 100 010 001 375.025.0125.0 125.025.0375.0 25.05.025.0 201 111 021 (17) Implementation Method For reduction of complexity of calculation, in multiply operation, coefficient 0.5 is rewrite 1/2, 0.25 is 1/4 and 0.375 is 3/8(=1/4+1/8).
Fig. 1 Internal data extend procedure.
Input data is added by 4-bits(one-bit is left, three-bit is right).
Bit extension method is that: Shown as Fig. 1, original input data extends additional 4 bit.
If input data is 8 bit wide, then internal data width extends 12 bit wide.

Mean Shift Algorithm Mean shift is a procedure for locating the maxima of a density function given discrete data sampled from that function.
The mean shift clustering algorithm is a practical application of the mode finding procedure: 1) starting on the data points, run mean shift procedure to find the stationary points of the density function; 2) Prune these points by retaining only the local maxima.
Given n data points, i=1，2，…n. in the d-dimensional space,the multivariate kernel density estimator with kernel K(x), computed in the point x is expressed as the following: (4) The profile of the kernel K(x) is defined only for .The normalization constant ,which makes K(x) integrate to one .
As a result of using state transition matrix to describe the dynamic system, its have wider Application; the estimate value of Kalman filter utilized the previous and current observation data, without storing historical data which reduced computer storage requirements.
When the target is partial occlusion or complete occlusion by other objects, the Bhattacharyya coefficient of nuclear histogram in current window will be reduced; But Bhattacharyya coefficient’s reduction is not the same in different occlusions.

Orientation maps were collected using a JSM-7001F type field emission scanning electron microscope equipped with a fully automatic EBSD analysis system (TSL OIM Data Collection 5 Software).
The step sizes for EBSD data collections were chosen as 0.03 μm.
More significantly, the misorientation data (Figs.2a–f) show a tendency for a reduction of the fraction of LALB and a corresponding increase in the fraction of HALB, indicating that LALBs have gradually transformed into HALBs with increasing ECAP passes.
All data were obtained from EBSD.
Present TEM observations provide further confirmation that the fraction of HALBs increases with increasing ECAP passes and it reaches a high level after 8-pass ECAP, which is in good agreement with the EBSD data.

This model has been used to extract temperature dependent effective mobility data for 2D grain growth simulations ‎[6] .
Considering as determined from experimental data ‎[10] Eq.
In order to compare the 3D simulation results with the experimental data and the previous 2D simulation, the EQAD was extracted from the 3D simulation by making 2D cuts through the 3D simulation data.
Reduction in pinning pressure due to dissolution of NbC precipitates has been taking into account using the concept of an effective mobility.
The simulation results are in good agreement with experimental data in bulk samples.

As noted by Barraclough et al [4] this 2:1 length to radius ratio is optimum for obtaining accurate data at high strain rates.
Torque and angular twist data was transformed to shear stress and strain via the method of critical radius (R*) proposed by Barraclough et al [4].
EBSD data was acquired using an FEI Sirion field emission gun scanning electron microscope (FEGSEM) equipped with a fully automatic HKL Technology EBSD attachment, operated at 15 kV.
All EBSD data was filtered using in-house modified Kuwahara filtering software for edge retaining orientation averaging.
Upon reversal there is significant reduction in the accumulated misorientation within the αP grains