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As the downlink data of EOC system transmit with broadcast, each terminal connected to the same central office device can receive all the downlink data.
So in order to isolate the user information and ensure the data privacy of each terminal, data encryption of each terminal at downlink direction is needed
Data encryption in satellite communications is usually in OFB mode and character data encryption is usually in CFB mode.
While encrypting EOC traffic data with hybrid encryption scheme, the data got by attackers with eavesdropping is encrypted and the MAC address of adjacent terminal can only be acquired by decryption.
Research of Data Security in EPON.

In consideration of the randomicity of both mechanical parameters of rock and structural plane and resistance of slide resistant piles, reliability index of slope stability was established with the aid of discretized dimensional reduction method of reliability and conditional probability.
BAYESIAN ESTIMATION OF PARAMETER In design stage, investigation and testing data are always limited, but the accurate estimation of geological parameters requires substantial data.
A fair estimation can be secured by Bayesian method, integrating the subjective judgment based on intuitional experience or indirect information with observation data.
The lab result ε is a group of observation data x1, x2, …, xn, which stands for a random sample of the population X from its density function fx(x).

The Network topology of the model is a type of 6×8×1 and will collect data every minute to calculate.
As can be known from Figure 1, system will periodically collect analog data, and classify the data, then input data into BP neural network and expert system separately.
Because the collected data often not an order of magnitude, so this data need to be normalized to interval [-1,1] before calculating.
Table 2 shows the result before normalized data input into system and calculated.
The results show that the predicted data and actual data are basically consistent, meet the requirements of run online. 4.2 The source of error of predicted data The main source of predicted error has the following aspects: (1)The accuracy of the predicted temperature data: At the production site, operators measure temperature by using measuring probe.

The reduction in height is 70% at the end of the compression tests.
In order to validate the generalization capability of the newly trained ANN, a set of test data, i.e. data not used in the training stage, is supplied as the inputs.
ANN requires that the range of both input data and output data should be 0-1, consequently, the data must be unified.
The widely used method of unification is (2) whereis the original data, the minimum value of, the maximum value of, and the unified data of the corresponding.
A total of 300 input/output data points have been selected from experimental results.

The experimental data from Neagoe [14] was used as input data for the study, and the simulation results were compared to the experimental results.
The measured experimental data are insufficient to properly portray the structural response mechanism and operating performance due to the limitations of existing measuring devices or excessive expenses.
As a result, a numerical simulation based on a clear physical logic finite element (FE) extrapolation method is provided to expand the restricted experimental data and compensate for the shortcomings of traditional interpolation methods.
The FE method may be utilized to expand the experimental data with adequate precision to extensively investigate the prospective properties of the stressing state of the RC beam reinforced with CFRP sheets using the above comparative analyses.
This model's analytical results matched the experimental data more closely.

It is noted that, based on the obtained data, it is possible to determine the required parameters for fire protection systems of the objects and their devices.
For example, the data in Fig. 4 correspond to the conditions of high dynamics of the ambient temperature.
In Fig. 5, similar data correspond to the conditions of low dynamics of the ambient temperature caused by the fire.
Following the data obtained, given the accuracy of the ambient temperature measurement, the existing regulatory requirements for the characteristic parameter B are close to optimal only for the intense increase of the ambient temperature and no random fluctuations.
Milke, Advanced Fire Detection Algorithms using Data from the Home Smoke Detector Project, Fire Safety Journal, 40/1 (2005) 1–28

A reduction in trade barriers generally will affect the environment by expanding the scale of economic activity, by altering the composition of economic activity, and by bringing about a change in the techniques of production.
However, Birdsall and Wheeler (1992) use Lucas et al. (1992) data for an empirical study of pollution intensive industries in Latin America.
Accordingly we can get the empirical equation of the relationship between the environmental pollution and economic factors in Zhongshan city: (2) Variables and Data Description.
All data used for this research are from and over the period of 1999-2010.

Here too, the fatigue data are depicted in a (tB-1/4, s)-diagram.
For a reduction of the scattering of the fatigue data Ravilly conditioned the specimens by heating them in a hydrogen atmosphere.
This curve was plotted on the screen together with the data points.
In the Appendix the data of creep of a-brass at 700K are shown.
These data were measured by Swenson and Dunlop [9].

Meanwhile, the median filter can easily adapt themselves, which can be further improved its properties, therefore, it can replace some of the linear filter is not capable of digital image processing applications. 4.1 Using median filter optimization wavelet ECG denoising experiment Median filter optimized wavelet threshold denoising step is shown in figure 1, first read into the ECG data, select the appropriate wavelet bases Of ECG wavelet decomposition, and then extract the wavelet coefficients at each scale, obtained layers denoising threshold, then median filtering of ECG signal, according to the threshold of the median filtered ECG data denoising and wavelet reconstruction, the final denoising effect evaluation and output denoised ECG.
Fig. 1: Median filter optimized wavelet threshold denoising The procedure according to figure 1 and using the data in the MIT-BIH standard ECG database 100.dat programmed in MATLAB simulation results as follows.
Noise reduction by wavelet Threshold-Ing [M].

The methods for recovery metals from the wastewater include chemical precipitation, electrolytic reduction, membrane technology, ion exchange and adsorption [2].
Fig. 5 Effect of initial concentration on the removal efficiency The equilibrium adsorption isotherm is one of the most valuable data to research the mechanism of adsorption.
Table1 Isothermal adsorption model Ion Langmuir Freundlich Qmax (mg L-1) R2 KF (mg g-1) 1/n R2 Ag+ 4.2599 0.9931 1.04 1.4257 0.9993 From table 1, we can know Freundlich isotherm model proved an excellent fit to the isotherm data, according to R2 values, which indicates that a multilayer adsorption process plays an important role in the whole process.
The Freundlich model gives an excellent fit of adsorption isotherm equilibrium data, which suggests that the most Ag+ adsorbed are multilayer arranged on the surface of vinasse.