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Testing Data Processing and Results Analysis Frequency response function measured by the method of multi-point excitation and single-point pick-up is shown as Fig.6.
Testing data is shown as Tab.1,in which “OS” and “IS” represent ordinary serial structure and serially isolated structure.
At the same time this isolated device shows better vibration reduction performance and has good stability.

The interface slip between steel and concrete was considered approximately by multiplying strength or stiffness reduction factor.
The experimental data were obtained at the peak displacement load of the first cycle in each load level to compare with the numerical results.
The FE model was verified by the test data of composite frame.

This technology will allow a number of interfaces and the reduction of the overall substrate size [2-3].
The lamination and fired density of the substrate was about 2.76 g/cm3 and 2.95 g/cm3 respectively which is higher than the density given in the Ferro data sheet [6].
It can deduced from Fig. 3b that the thickness of the silver conductor was about 7.77 µm and this value is within the range of values in the standard Ferro data sheet (6 µm-9 µm).

The aim of this paper is to study its fast-performance so as to provide design data for container ship.
Viscosity-pressure resistance of the scheme 6 increases obviously when Reynolds Number is nearly 7×106, indicating that the reduction of height of the bulbous bow makes for low-pressure zone in the bottom of the hull which increases the viscosity-pressure resistance.
Prohaska method may be used to determine the form factor (1+k) and then viscosity-pressure resistance coefficient based on data from model testing.

Removal of Cr6+ from wastewater is usually achieved by physical and chemical processes which include precipitation, coagulation, ultrafiltration, reduction, reverse osmosis, membrane processes, ion exchange and adsorption[3], etc. are very expensive.
The experimental data fit well with Langmuir adsorption isotherm model since the values of correlation coefficients (R2) are close to 1 (Table 1).
Adsorption equilibrium data fitted well by the Langmuir equation.The maximum adsorption capacity (Qm) of Cr6+ calculated from Langmuir equation for adsorption is 45.05 mg/g.

A combination of lean-pull strategy and CONstant Work-In-Process (CONWIP) was proposed to TFT-LCD array plant leading to successful reduction in cycle time and WIP level in a case study in Taiwan [4].
Industrial data from these real CF fabs in north Taiwan are collected and used to evaluate the performance of ASD.
These data include machine capacity, process time, tact time, setup time, preventive maintenance, Mean Time to Repair (MTTR), Mean Time between Failure (MTBF), first pass yield, product type, process routine, and WIP.

Therefore, they are widely used when weight reduction of components is needed while maintaining good mechanical properties (for example, in the automotive and aerospace industries).
This result suggests that the scale consists of MgO and Mg(OH)2, which is consistent with literature data.
Data from the literature show that some Mg-Al alloys exhibit a deterioration of mechanical properties due to their contact with an environment containing hydrogen [5, 6, 8].

Therefore, to make the objection of emission reduction and energy saving, more and more countries are making efforts to develop clean and renewable distributed generators (DGs) [1,2].
Wind Turbine Pwind is typical WT’s output power data according to predictive value of wind speed.
[12] Information on www.capstoneturbine.com/prodsol/products/index.asp [13] Data from https://analysis.nrel.gov/homer/

The collected data contains noise or incomplete, BP neural network has been powerless.
Output set B is a data, it could be a set of data, it is expressed by a collection of A's input is expected to want to get the results.
Rough Set is for contradictions property input, incomplete and uncertainty with fair data analysis and reasoning ability, this paper based on Rough Set Theory and design combination of rough sets and BP neural network advantages of the R-BP neural network.
Conclusion Using neural network calculation, enter the number of features and quality of the sample, directly determine the neural network computing and fitting the output is good or bad input data.
Data for simple, clear classification boundaries, the traditional neural network can have better result, but enter the attribute collection, classification boundaries are not clear, low convergence efficiency and classification accuracy, there may even be not convergence condition, using the Rough Set theory, the input data kept the samples tested, the input feature non-stop screening, in order to achieve the purpose of deletion of the number of input feature, thereby improving the fit of the input data, after use of the EEG signal collected, verified, and reached the deletion of the number of features and improve the accuracy of the purpose.

Thus cluster heads closer to the base station can preserve energy for the inter-cluster data forwarding.
However, in the steady phase member node sends data to the corresponding cluster head, then the cluster head aggregate data and forward them to parent node, till to root node like this.
Each member node sends L bits data to the cluster head in a round.
When=4,=0.1, the relation between number of data received at BS and time is shown in Fig.3.
In the data transmission phase, routing tree can balance cluster heads’ energy consumption.