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The calculated data were compared with experimental results.
We have chosen the solid solution Ba(Ti,Sn)O3 (BTS) since its piezoelectric coefficients reach at least 30 - 40 % of the PZT data.
Furthermore, a non-zero electrical conductivity σk was included, which was significant for the description of the experi-mental data.
Fig. 7a shows the comparison between the measured electric fields during the poling of a bimorph sample and the data fitted in the framework of the model described above.
The satisfying coincidence between experimental and fitted data indicates the suitability of the poling model.

Conclusions Rough set is one of the useful tools for data mining.
There are research topics to apply the theory to data mining.
On Knowledge and Data Engineering 12(2),2000, pp.331–336
[13] William Zhu,Fei-Yue Wang.Three types of covering rough sets.to appear in Transactions on Knowledge and Data Engineering, 19,2007, pp.1131–1144
[14] William Zhu,Fei-Yue Wang.Properties of the First Type of Covering-Based Rough Sets. in ICDM 2006 Workshop on Foundations of Data Mining and Novel Techniques in High Dimensional Structural and Unstructured Data, Hongkong, China,18-22 December, 2006,pp.407-411

Results and Discussions In this section, some typical data are chosen to discuss.
In this case, data processing is only averaging three curves.
The rest data are partly consistent, as shown in Fig2 (b).
In this case, before data processing the third curve should be deleted.
Viewing from the all data, it can draw a conclusion that the test result of NMR relaxation time is reliable and stable.

In order to minimize the cost of redevelopment, it improves the utilization of mature chassis to realize the reduction of development costs.
The design parameters and data based on the existing developed vehicle models are obtained and the data of various vehicle systems are integrated.
This article USES SQL Server2008, and the parameters in the data table invoked are the name of each Field on the platform interface.
CMD file calls generated suspension model of Adams/Car, once again, click the "save to the database" button controls, SQL Server will automatically update to save change parameter data, after that the user can directly call records, automatically generated subsystem model you need.
The corresponding change data of each parameter was recorded by the test system, and the front wheel camber and kingpin camber were checked.

In addition to considering the influence of time information on the historical data, you should also consider the impact on the prediction formula.
A R (u) is a recommendation list which based on user ratings in the training set, T (u) is a list of user behavior in the test set, and the recommendation result accuracy is defined as: We use part of Netflix data set as our experimental data sets, including 10,000 ratings and ratings time 1230 independent users of the 1682 movie.
In: SIAM Data Mining (SDM'05), Newport Beach, California, April 21-23, 2005 [2] R.
A recent-biased dimension reduction technique for time series data.
In Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference, PAKDD 2005, volume 3518 / 2005.

That 20 year lifetime goal is itself a reduction from the earlier 30 year lifetime design goal [6].
Combining analysis results with experimental data and engineering know-how lead to higher efficiencies and improved product reliability.
Data from its validated models can be used to analyze the interaction of bearings and rotating elements within a turbine’s housing.
It also exports design-specific bearing data back to system models, so modifications and trade-offs can be made as needed.
Data from its validated models can be used to analyze the interaction of bearings and rotating elements within a turbine’s housing.

The microbial ferrous oxidation rate at each dilution rate was determined from the knowledge of O2, CO2 utilisation rates using the degree-of-reduction balance [14] and also from a ferrous iron mass balance over the reactor.
Also included are the data from a previous study with the same total iron concentrations, but all with only ferrous and no ferric in the feed [1, 3].
Analysis of the present data, given in Table 1 shows that the maintenance coefficient is small or negative, which is consistent with actively growing continuous culture which is not substrate limited and where there no wall growth, as shown in previous studies [1, 3].
It can also be seen, from both Figure 3 and Table 1, that the yield data does not follow a strictly linear trend, since the value of the yield coefficient max2 XFeY + is not strictly a constant, but itself a function of DrFe +2 or of total iron concentration.
This remains under investigation. 0.0 0.4 0.8 1.2 1.6 2.0 2.4 2.8 3.2 3.6 0 5 10 15 20 25 30 Biomass, Cx [mmol C/L] [Fe3+] [g/L] 5 g/L Total Fe 12 g/L Total Fe 20 g/L Total Fe 25 g/L Total Fe 5g/L Ferrous" 5g/L Ferrous + 7g/L Ferric 5g/L Ferrous + 15g/L Ferric 5g/L Ferrous + 20g/L Ferric 0 5 10 15 20 25 30 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 Rate of ferrous-iron oxidation (mmol L-1 h-1) Dilution rate (h-1) 5g/l Ferrous (Ojumu, 2008) 12g/l Ferrous (Ojumu, 2008) 20g/l Ferrous (Ojumu, 2008) 25g/l Ferrous (Ojumu, 2008) 5g/l Ferrous 5g/l ferrous+7g/l ferric 5g/l ferrous+15g/l ferric 5g/l Ferous+20g/l ferric 0.0000 0.5000 1.0000 1.5000 2.0000 2.5000 3.0000 3.5000 0 5 10 15 20 25 CX (mmol C/L) g/L Partially oxidized feed data from Table 1 Pure ferrous feed data from Table 1 DrFe +2 Figure 2.

The reduction of wear resistance due to hardness degradation of the tools at high cutting speeds is typically minimized by use of liquid coolants.
Results and their discussion Data for coefficient of friction and mechanical properties of the composites studied are illustrated in Figs. 3 – 7.
Jaworska for the data.
Remark: diamonds –data for composite obtained via homogenization for 5.5 hours; squares – data for composite obtained via homogenization for 2 hours.
Remark: diamonds –data for composite obtained via homogenization for 5.5 hours; squares – data for composite obtained via homogenization for 2 hours.

Based on research of index system of evaluation on ecological cities of China currently, Chinese scholars have problems in research of index system of evaluation on ecological cities such as over-sized designed index system, much difficulty in index quantification, weight allocation and data acquisition and low compatibility of index.
Thus, this article, based on sample of data of Ha'erbin between 2002 and 2008, carries out calculation with SPSS statistics software so as to get weight, characteristic vector and scores of principal components of each sub-system to conduct quantitative evaluation on construction of ecological city of Ha'erbin.
Evaluation on construction of each sub-system of ecological system of Ha'erbin (1) Standardization of original data and analysis of relevance of data.
Thus, this article, based on sample of data of Ha'erbin between 2002 and 2008, carries out calculation with SPSS statistics software so as to get weight, characteristic vector and scores of principal components of each sub-system to conduct quantitative evaluation on construction of ecological city of Ha'erbin
Calculation of characteristic values, contribution rate and accumulative contribution rate of data R of three sub-system will be made with SPSS statistics software.

These data forms two series: LL ,,,, 21 ixxx and LL ,,,, 21 iyyy . ix is the vibration amplitude of the rotor in X direction at the ith moment.
We plot the X (or Y) data to time on the coordinate plate and the onedimensional time-vibration waves is obtained.
Let the first m data in the series ( )mxxx ,,, 21 L be the first vector 1X in the M-dimensional Space.
None-scale area and the slope of the curve of ))(( εNLog and )1( εLog Fractal Characteristics of Shaft Center Orbit When the vibration data in direction X and Y are combined together, we take the measurements at moment i (xi, yi) as the coordinates of point i.
These vibration data are not until to alarm values.