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Analytical data from Schroeder and Webster [3] which were extracted from the experimental results of compression of disc-shaped specimenswere used in the intermediate friction conditions.
According to the relationship between inner diameter changes and height reduction, the calibration curve of constant shear friction factor for a 6:3:2 ring have been predicted.
Both the reduction ratio of height and reduction ratio of inner diameter are calculated.
The flow stress curves are the input data during the simulation of forging process.

The reduction of defects tends to increases the yield production thus leading to greater profit and lower material wastage.
The data is collected and analyzed.
These data concern about the disbonds and unidentifiable ultrasonic indications.
The rate of reduction for disbonds is about 55.88%.
For unidentifiable ultrasonic indications, the rate of reduction is about 47.22%.

Reduction of EMI. 1.
Speed volume relationship at different locations: The data for the above figure is collected in the non-congested time and no traffic flow data was collected at or over the capacity.
Reduction of EMI: The effect of EMI is reduced by the following methods.
The resistor spark plugs, resistor spark plug cables, use of silicone lubricant in the distributor, use of capacitors as filters, placement of grounding straps at key locations, conductive fan belt discharge, and tire static-charge reduction.

It realized optimum compression of fault sample data and enhanced classification speed and precision.
MODEL STRUCTRUE BASED ON THE PCA-BP NEURAL NETWORK Principal Component Analysis and the Steps in the Algorithm PCA[5-7] could simplify data structures in the precondition of minimizing loss of original data information, the linear combination for input data had caused big variance in order to have better ability to distinguish fault model.
Fig.2 The simulation calculation of 11x11 grounding grids Sample Data Reduction When analyzing grounding grids by electric network analysis, each conductor of grounding grids could be seen as a resistance.
Lastly ,the 12 lines and 33 columns sample data after normalization were obtained.
According to principle components score vectors (the input vectors of BP neural network) ,we could gain a array of 12x11new sample data,part of the sample data was shown by the Table2: Table2.

It is necessary to note that the designated positive effect was reached at reduction of the content of polymer in a polymeric component.
It leads to reduction of its tensile properties and reduction of an interval of plasticity of PBB.
Comparison of data on elasticity shows that at the maintenance of DST of 2-3 % on weight in the polymeric matrix nanoreinforced of 0,002 % for OUNT, elasticity of PBB reaches the greatest value - more than 90 % at 25°C and more than 80 % at 0°C.
Further reduction of OUNT in the binder doesn't give significant technical result, because of absence of effect from nanoupdating of a polymeric component.
Thus, at the expense of a variation reduction of the content of DST polymer in binder, and also receiving a target product with high indicators of properties becomes the maintenance of components in the nanoreinforced matrix of a polymeric component, possible.

The reduction capacity estimated by integrating the reduction current at the initial cycle was 300 mA h (g-tetratitanate) -1.
The capacity of 300 and 170 mA h g -1 corresponds to the reduction/oxidation of approximately 90% and 50% of Ti, respectively.
The data shown below were taken after fifth cycle.
Figure 4 shows reduction peak current density of the obtained thin film on cyclic voltammograms measured at various sweep rates.
Reduction peak current density of the obtaind thin film on cyclic voltammograms measured at various sweep rates.

The stiffness reduction factor equals lateral stiffness of authentic strips divided by lateral stiffness of imaginary ones, which should be gotten through experiments.
It is used to characterize the reduction of lateral stiffness of components compared with ones fixed at both ends and provide reference for subsequent calculation.
It is obvious that the experiment values of yield bearing capacity were very close to the predicted value and we can get the stiffness reduction factor mentioned before.
We can see that the smaller the aspect ratio is, the smaller the stiffness reduction factor will be.
Molch, et al., Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data, J.

The active sites off ORR can be identified by comparing the adsorption in this model with the origin data.
Using the DFT method, the structures are optimized to get the data.
Based on the equation above, the more negative data is, the stronger attractive interaction is.
When the electrode potential U=0, the free energies of the first three steps on Fe@Co3O4-NG are 11.84, -3.49 and 11.40, comparing to those on pure Co3O4-NG catalyst of -0.51, 0.34 and 0.76.Those data are far from the standard data of 1.23, 2.46 and 3.69.
Because the limitation of the configuration of the host, more accurate simulation data are not available.

Finally, the effective braking force for full scale tugboats was predicted by using the experiment data and the assumptions mentioned above.
Influence of Ship-Tugboat Interaction Reduction of the braking force, The influence of ship-tugboat distance on the total hull resistance is shown in Fig.1.
Although the type of propellers is imperfectly the same, we try to use these data for estimating the influence of scale effect on the braking force of tugboat-self Fb by the following: , where, the Tb is the bollard pull of the tugboat. α is the correction factor on the base of the results of the Fig.4.
In accordance with the measured and analyzed results, the main conclusions are enumerated as the follows: The braking force of tugboats was influenced by ship-tugboat hydrodynamic interaction, even if full scale tugboat; The reduction of the effective braking force for full scale tugboat was about 10% of the capability of tugboat-self in normal ship-tugboat distance; The reduction inclination of the effective braking force slightly differed in both braking methods.

The iteration curve can certificate that iteration process of FE computation is convergent and the data are correct.
Table 1 Comparison for same size (R10) but different number of balls (7 balls with keeper while others without) Max. node stress (MPa) Max. node strain (mm) No. of balls Stress value reduction in Similitude Reduction in Sequence Strain value reduction in Similitude Reduction in Sequence 7 10.562 -- -- 0.339975 -- -- 8 9.049 14.33% 14.33% 0.332515 2.19% 2.19% 9 11.914 12.80% -31.66% 0.354773 -4.35% -6.69% Table 2 Comparison for different size (R10) and different number of balls (10 balls with keeper while others without) Max. node stress (MPa) Max. node strain (mm) No. and radius of balls Stress value reduction in Similitude Reduction in sequence Strain value reduction in Similitude Reduction in sequence 7 balls-R10 10.562 -- -- 0.339975 -- -- 8 balls-R9 13.376 -26.64% -26.64% 0.391828 -15.25% -15.25% 9 balls-R9 10.81 -2.35% 19.18% 0.284063 16.45% 27.50% 8 balls-R8 Iteration is not convergent and analysis falls into fail