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Method The measured data were used as the basis for the simulation analysis in this study.
The data were analyzed in the CFD simulation.
Simulated Concentration at Monitor Points in Area A and B According to the result of simulation in area A, the data showed significant changes (refer with: Fig. 4).
However, as shown in the cross-section view of points 1 to 9, as the conduction direction of air flow changed, the concentration of suspended aerosol particles in this region had no significant reduction, points 4, 5 and 6 showed an increasing effect.

The method could reduce the data quantity of valley model.
To reduce the multi-resolution terrain model data.
The specific methods of operation as follows: gradually removing those points that meet certain criteria of vertex data reduce from the big scene including all the triangle mesh terrain data until data reduced to the details of the required accuracy so far achieved.
The advantage of this approach is able to extract more continuous level of detail triangle to support data compression and geometric reconstruction of data for network transmission of data in the drawing of the model client.
The real-time data transmission is to provide a new idea for WebGIS.

The networks are always busy and they tend to increase the chance of data colliding and latency in data delivery.
If such thing happens for ordinary data, the impact wouldn’t be much of thing to consider but if this is the case for an important data then the data would be lost half way or delayed, which might cause serious damages to the system and also affects the safety of the people working in the industry.
It transmits the data to the sink in shortest possible way.
Data packet 100bytes 6.
The initial energy of each node is 100 joules, after that there is energy reduction seen as time passes.

Limit states of different performance levels for structures are connected with IDA curve slope whose decrease amplitude is determined according to current test data.
Use the IDA data to better understand the seismic behavior of SRC structures.
Now we are faced with an abundance of IDA-generated data that need to be sorted out presented in meaningful ways.
By generating the IDA curve for each record and subsequently defining the limit-state capacities, a large amount of data can be gathered and the multi-record IDA curves are shown in figure 4.
Therefore, the IDA curves display a wide of behavior, showing record-to-record variability, thus making it essential to summarize such data and quantify the randomness introduced by the records.

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.

Comparison of results theoretical and experimental studies on the test stand shows that the calculated values of synchronization time on certain stages and throughout the cycles of the transmission shifting differ from the experimental data by 10-25% maximum.
The stand allows to study efficiency of the units of manual transmissions (the clutch, the divider, the main reduction gear box, the splitter, definition of the unit efficiency, study of the synchronization process, etc.) and mechatronic control systems for automatic or semi-automatic modes as. 3 6 5 4 7 a) 1 2 b) Fig.3 The appearance of the stand for testing manual multistage transmissions with automatic control 1 – The clutch mechanism 2 – The studied multistage transmission; 3 - The drive motor; 4 - The loading motor; 5 -The driveline; 6 – The inertial mass; 7 -The remote control The studies were carried out on the test stand at the command and automatic modes at alternating pressure in the pneumatic system, different frequencies of rotation of the primary shaft and different values of diameter of the solenoid valve nozzle.
Theoretical study of the synchronization processes The obtained experimental data were compared with theoretical values of the synchronization time and of the total cycle of the gear shift, dynamic loads to the synchronizer and other dependences.
Calculated values of synchronization time of certain stages and in all cycles of gear shifting differ from the experimental data by 10-25% maximum.
The calculated values of the synchronization time on certain stages and in all gear-shifting cycles differ from the experimental data by 10-25% maximum Table 2 Results of the experimental and calculated values of the time synchronization Type of lubrication - oil МС-20, Temperature - 325-3350К.

This system which is well described in Appendix 2 of IEEE 30 bus data, has its configuration contained in [32].
Table 3 depicts the percentage reduction in the allowable transfer power during line outages.
A significant loss reduction on line 12-15 was obtained during T3, from 0.0095 to 0.0082 p.u. among other reductions as shown in Fig. 19(c).
In Fig. 19(d), similar loss reduction from 0.0093 to 0.0083 p.u. was obtained on same line 12-15 for transaction T4, to mention few.
There were reductions in loss as compared uncompensated system as shown in Fig. 20(b), during T2.

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.

In Okono (1999), “informationization” was defined as the explosive increase in the volume of information resulting from the dramatic reduction in data management and transmission costs.
Problems like non-uniform data format, data redundancy, and waste of resources always appear