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Reduction in both the nonlinearity index and the amount of δ-Bi2O3 for small amounts of added Bi with the addition of more than approximately 1.25 mol% Sb2O3 demonstrates that Sb inhibits Bi2O3 from forming deep interfacial impurity levels at the grain boundaries.
The reduction with the addition of Y to Bi–Mn–Co–Sb–Si–Cr–Ni-added ZnO varistors (with the same composition as a commercial varistor) is caused by an increase in the number of willemite (Zn2SiO4) particles or by a reduction in the number of spinel Zn2.33Sb0.67O4 particles at the grain boundary between two ZnO grains.
XRD, EDS and BSE analysis results revealed that Bi is incorporated in spinel particles until δ-Bi2O3 eventually disappears as the amount of Sb2O3 was increased for Sample A1 (data not shown).
The V–I characteristics were nonlinear even when 2.5 mol% Y2O3 (data not shown) and approximately less than 1 mol% Sb2O3 were added.
Sample A1 with the optimal amount of Sb2O3 added (1 mol%) exhibited a high varistor voltage and high resistance to electrical degradation; however, the leakage current requires further reduction.

Step 2: Data sources and data collection and standardized treatment; Choose work than scheme is the premise of the index system according to the determined indexes data acquisition.
Data is from the design unit.
Data is from the experts in the field and experts with comprehensive experience and research evaluate indexes for satisfaction score.
Such processing will not change data analysis ability, also accord with the five grade marking system standard for evaluation.
Step 3: Data discretization; For Discrete scores under each evaluation index.

First, the initial data for numerical simulation were obtained by tensile test.
The work piece was rotated 90° in each pass and the reductions were identical.
The first reduction in each pass was applied on the end by the manipulator jaw.
Conclusions Tensile testing was carried out to obtain initial data for numerical simulation of open-die forging.
Stainless steels.Properties.www.euro-inox.org [3] Džugan, J., Zemko, M.: Input data influence on FEM simulation of steam turbine blades materials hot forming, 2013, Materials Science Forum, ISSN: 1662-9752, 773-774, pp.79-88.

It was found that increase the target size leads to a reduction in the maximum impact force recorded during the test.
This is due to the reduction on flexural rigidity of the larger panels.
For 50 mm and 200 mm diameter panels impact with 1.75 Joule, the peak force reduced from 2000 to 800 Newtons, which is approximately 60% reduction.
It is clear that the results offered by the two mathematical models perfectly matched with the measured data due to no obvious damage occurred on the large diameter samples.
[8] EP121-C20-53 Data Sheet from Gurit Ltd

The correlation between response and frequency decrease due to damage for cross section reduction of CFRP cantilever beam elements is analysed.
There are several scientific reports in literature regarding the use of vibration data to locate damage in controlled conditions or in numerical simulations of beams built using homogeneous material [10-14].
The correlation between response and frequency decrease, due to damage for reduction of section of CFRP cantilever beam elements was analysed in the first part of an experimental investigation.
A local damage was then achieved by creating two reductions of section, symmetrically to the beam’s central axis, in order to obtain a decrease of section close to the fixed end, D1.
Aparicio, Structural damage identification from dynamic–test data, J.

As shown in Figure 3, the Hd increases with the increasing of the slab original width and thickness and width reduction.
According to the least resistance rule[6], metal flows along the lateral trend increasing, so the Hd increases. 10 20 30 40 170 180 190 200 210 220 230 240 250 Hd,mm width reduction,mm H0=160mm H0=210mm Fig.a 10 20 30 40 168 174 180 186 192 198 Hd,mm width reduction,mm W0=790mm W0=1100mm W0=1400mm Fig.b Fig.3 The Hd changes with the slab original width and thickness as well as width reduction 10 15 20 25 30 35 40 170 180 190 200 210 220 230 Hr, mm width reduction, mm H0=210mm H0=160mm Fig.a 10 15 20 25 30 35 40 45 167 168 169 170 171 172 173 174 175 Hr, mm width reduction, mm W0=1400mm W0=1100mm W0=790mm Fig.b Fig.4 The Hr changes with the slab original width and thickness as well as width reduction 10 15 20 25 30 35 40 13.6 14.0 14.4 14.8 15.2 15.6 16.0 A, mm width reduction, mm H0=210mm H0=160mm Fig.a 10 15 20 25 30 35 40 13.4 13.6 13.8 14.0 14.2 14.4 14.6 14.8 15.0
15.2 A, mm width reduction, mm W0=1400mm W0=1100mm W0=790mm Fig.b Fig.5 The A changes with the slab original width and thickness as well as width reduction 10 20 30 40 120 130 140 150 160 170 180 190 200 210 220 C,mm width reduction,mm H0=160mm H0=210mm Fig.a 10 20 30 40 130 140 150 160 170 180 190 C,mm width reduction,mm W0=790mm W0=1100mm W0=1400mm Fig.b Fig.6 The C changes with the slab original width and thickness as well as width reduction In Fig.4(a) , the slab original width is 790mm.
Fig. 4 shows, like with the Hd, as the slab original thickness, width and width reduction are increased, the Hr is also increased.
Conclusions According to the simulation datum, the Hd , the Hr , the A and the C increase with increasing of the slab original width and thickness, width reduction.

The interval for data collection was 1sec.
All the PCs are inherently uncorrelated and the redundant data are reduced.
The data obtained from the 10 sensor arrays were converted into PCs after a PC transformation using the software of PEN3.
Results of PCA PCA is a well-known statistical method for reducing the dimensionality of numerical data sets and widely used for analyzing gas-sensing data.
Two of the three principal components were kept because their total contribution rate is up to 97.27% of the variance in the data set (PC1, PC2 and PC3 accounted for 86.88%, 7.13% and 3.26% of the variance, respectively).

The antibacterial test results showed that the use of the surfactant provides antibacterial properties to the CA/CPB nanofibers, presenting 99.99% reduction for Escherichia coli.
The CA/CPB nanofibers were characterized for mechanical and thermal tests, morphology analysis, water-solubility, Fourier transform infrared spectroscopy and texture data.
The percentage of reduction and the log bacterial reduction of the microbial growth was determined according to the following equation: Log10 bacterial reduction = Log10(B) - Log10(A)
Table 1 presents the reduction percentage and log bacterial reduction of the microbial growth according to the equations described.
N. of bacterium (CFL/mL) at “0” time N. of bacterium (CFL/mL) at “1h” contact Log Reduction Reduction (%) 0.41x105 0 4.61 ± 0.46 99.99% The electrospun nanofiber presented a reduction of microorganisms in comparison with the positive control, which showed an expected growth of microorganisms.

First, the dimensionality of motion capture data was reduced by LLE method to obtain the low dimension feature curve.
Zhu et al. [1] employed linear time invariant system maps the original high dimensional data to low dimensional state space, using the sum of squared error criterion to split the low-dimensional set of data points, treat the segment points as key-frames.
Our Approach for Key Frames Extraction At the beginning, we use LLE algorithm to reduce the dimensionality of motion capture data directly to one dimensional data.
In conclusion, our method works well in the motion sequence by testing large amounts of data.
First, we adopt the nonlinear manifold learning method to dimensional reduction for original human motion data, and keep the dimensional reduction data have the original topological structure.

These data are referred to as data for learning
This data is referred to as individual
One data is selected as individual, and the ordinal kriging matrixs are created from other 473 data.
( ) ( )∑== n i ii sZwsZ 1 0 (1) Where n is number of known data, si is position of known data, Z(s) is value of the data and w is a weight.
Table 2 Data for estimation Test No.