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Introduction Due to its unique porous structure , metal foams have a series of special properties, such as good acoustic, noise reduction, electromagnetic shielding, damping and so on, and it is a new lightweight structural and functional material[1-3].
The structure size data of model is shown in Table 1.
Table 1 The structure size data of model.

If the obtained execution probability of transition by calculation in this time is , namely the execution probability of timed transition is , the total average delay time of timed transition after reduction is: (2) On the basis of , it can construct a selective switch, to generate a selected structure, it can be converted into an instantaneous transition, and is applied to describe. by analysis, it can be seen that and are able to integrated, to build a new sequential structure, it can reverse to make it forming an instantaneous transition which is described by , and through the calculation, the time delay of it is 0.
In order to calculate the probability of steady state of each identification, the formula (3) is applied to calculate the corresponding probability, this introduction is used to describe state differential equation, and to obtain the steady state of each identification as follows: (6) Because and are failure state, the compatibility of sub-software is shown as follows: (7) Based on the compatibility of sub-software and, can obtain the compatibility of service combination can be obtained as follows: (8) 3 Analysis of simulation result The proposed algorithm is used to make simulation experiments to verify the performance, analyze the related data, and make the following setting: In the sub-software of Android system, if the concurrent structure similar to the has a lots, the amount is represented by , when becomes bigger, the value of are =1, =2 and =3.
Table 1 Compatibility of sub service Time （h） Compatibility n=1 n=2 n=3 10 0.9977 0.9989 0.9990 50 0.9830 0.9942 0.9945 100 0.9678 0.9888 0.9895 150 0.9365 0.9778 0.9786 200 0.9066 0.9677 0.9688 250 0.8794 0.9562 0.9576 300 0.8499 0.9458 0.9469 It can be seen from table 1, the compatibility data of sub service is obtained, and the tendency chart of compatibility changing of sub service is shown as figure 5.

Fuzzy Comprehensive Evaluation Basic principles In this paper, rough set theory [5] for the reduction of the index set to achieve the targets simplification [6] effect, and on the evaluation index weights were determined using subjective weights and objective weights combining [7] method, is a more effective response evaluation of each indicator on the evaluation results. 2 Fuzzy comprehensive evaluation model based on rough set 2.1 Index System Through the power supply enterprise research, evaluation of various factors according to the relevant technical staff are given the impact of the wire strength, combined with a lot of actual data, results of the evaluation circuit 110kV voltage level of basic indicators.
A fuzzy neural network based green evaluation method of power enterprise data center[J], Power system Technology.2008,32(19):84-88,97

Introduction Hot forming High Strength Steel (HSS) is widely used in body structure as a solution for weight-reduction of automobiles [1-2].
The program flow for data processing is shown in Fig.3.
Program flow for data processing of MBN.

It is assumed that the size distribution of bubbles is described by lognormal density function with logarithmic standard deviation , which correlates well with the existing experimental data (e.g., [9]):
The results of simulations show that even minor amount of free gas causes sound speed reduction in a low frequency range and drastic non-monotonic changes at frequencies close to the resonance frequency of bubbles.
As it follows from the numerical data obtained, sound attenuation in a polydisperse mixture at different frequencies may be both less and more than in an equivalent monodisperse system.

Major mineral oxidation/reduction boundaries in sulphide deposits are very often heavily colonized by bacteria which can be a significant source of organic carbon, subject to volatilization as hydrocarbons [2].
Results and Discussion Table 1 shows the data of bacterial population and pH in each of the flasks after one month of starting the experiment, just before sealing the flasks and starting the flow of synthetic air.
Table 1: Experimental data on pH, bacterial population and metal recoveries.

That make noise reduction be one of the key problems in image processing and the basis of image subsequent processing.
At last, to MRI image we pay particular attention, experiments data show that our algorithm has excellent performance. 5.
The Rician distribution of noisy MRI data[J].

Controllable loads due to its’ thermal inertia, such as refrigerators, freezers, electric water heater (EWH), can imply a substantial energy-storage potential, which allows for a temporary reduction or increase of consumption.
Fig.3 Block diagram frequency regulation for a single area with PEVs and controllable loads Simulation Results The data of system is identical and shown in Table1.
Table 1 Data of power system Parameter Value Parameter Value System Base (MW) 10 Nominal Frequency(Hz) 60 (sec) 0.2 ( MW/Hz) 1/5 (sec) 0.6 ( Hz/MW) 0.3 (sec) 8 (MW/Hz/sec) 2/15 (MW/Hz/sec) 5/3 30% In this paper, 200 PEVs and 100 EWHs are participated to the frequency regulation of the power system.

While third-order cumulant as follows, in which the random variable self- third-order cumulant is (8) Fourth-order mutual-cumulants of random variable, can be expressed as (9) The coefficients will be estimated according to collected data, and formula (9), and then the time delay can be estimated according to the maximum value of.
Experimental results and analysis 4096 length of zero mean non-Gaussian time series data and two zero-mean noise sequence of independent Gaussian are used in the experiment.
In addition, it shows that the bispectrum has the strongest noise reduction capability, and better filtered Gaussian noise, TDE based on cumulants also showed good filtering capacity, the correlation curve is good, the noise suppression ability is poor using correlation method.

MIMO antenna correlation measurements are very difficult to collect large amounts of data need to be complex and time-series data analysis.
Mutual coupling reduction in MIMO antenna system using EBG structures [C].