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The prototype model is made into a certain proportion model in reduction, and the initial state and boundary conditions of model must be similar as archetype.
Interpretations of Results of Experimental Investigation of Simulating Similar Materials of Multi-Seam Mining in Steep Through the law of lens after model specimen having been made, the observation is made in the process of mining and large amounts of data measured have been got during this period.
After entering data into three-dimensional simulation system similar materials, the procedure of the "mining" ground movement can be reproduced.
Level shift, fracture and falling of the rock of the  socle beam happened and filled the goaf .From Surface to underground ,besides the movement of rock happened , the Surface of ground appeared collapse pit as follows: Fig.7 The process of steep seam mining subsidence Conclusions Through three-dimensional modeling of Open GL, based on dbservation data of simulating similar materials of multi-seam mining in steep, the whole process of mining of dynamic simulation has been made.

Knowledge-based analog circuit fault diagnosis approach is to run the course on the circuit data or test data are analyzed, the circuit does not need to know the precise analytical model of the situation, to complete the fault diagnosis.
The main purpose of using LDA is to find factors that have a much lower dimension than the original data set, which can properly describe the major fault features in the original fault data set.
Given a data set consisting of data points in , LDA computes a linear transformation that maps each in the d-dimensional space to a vector in the l dimensional space by .
Then, construct the OAOSVMs using fault features data set.
The sampled data are preprocessed by LDA for feature extraction.

Failure data of drogues in cycles.
Weibull plotting, as shown in figure 2 below, shows this data.
This supports the significance of the data being Weibull distributed and that γ = 0.
Furthermore, Table 3 below, is a full ANOVA on the data and reinforced the validity of the data fitting a Weibull distribution.
ANOVA for Weibull data.  

Introduced the course of development of the public bicycle transportation, elaborated public bicycle traffic characteristics systematically, determined the applicable conditions by actual survey data, and proposed the layout of the public bicycle transportation planning points.
Table 1 Energy consumption and exhaust gas emissions Traffic way Energy consumption （kwh/ seat /km） Exhaust emissions （g/people/km） Walk 0.04 0 Bicycle 0.06 0 Motorcycle 0.54 27.5 Bus lanes 0.09 0.9 Light rail 0.05 0.7 The second advantage is reduction of traffic congestion.

Due to the low levels of the design and construction technology in the countryside of northern cold region, energy consumption and indoor environment in rural residential buildings cannot be controlled effectively, which becomes one of the most prominent problems in rural energy efficiency and emission reduction.
To learn the present situation of energy consumption and indoor environment in rural buildings, this paper adopts the method of field investigation and data analysis to analyze the building envelopes situation and the energy structure.

To train and test the ANN the set of data was generated with use of first principle model [7].
Afterwards, the training and testing set of data was created.
The final training set of data included 2352 samples.
The final training set of data included 1226 samples.
With regard to a fact that the sampling interval is in tens of minutes during data collection, it is possible to increase the number of steps for each series adaptation (pattern) of measured data.

In this paper, the stress relaxation model is obtained based on the Altenbach-Gorash-Naumenko creep equations, and the DE algorithm method is proposed to determine the parameters of through sets of experimental data of 1Cr-0.5Mo-0.25V at 500°C.
The stress relaxation model The solution of the stress relaxation problem is based on the total strain ε remaining constant and the conversion of the elastic strain εe by the stress reduction into the creep strain εcr.
General identification scheme Altenbach-Gorash-Naumenko model parameters are determined with the following method: Given sets of creep and stress relaxation experimental data, then apply the DE method to adjust the parameters until the experimental data is in accord with the relation of Eq. 2 and Eq. 3.
Results and Discussion Four sets of stress relaxation test data each with a different initial stress and one set of minimum creep strain rate versus stress data at 500°C for 1Cr-0.5Mo-0.25V stainless steel bolting material are given in the NRIM data sheets[9].
Price: Journal for Global Optimization Vol. 11(1997), p.341 [9] NRIM Creep Data Sheet No. 44, National Research Institute for Metals, Tokyo (1997).

The real-time interface packages real-time data and transmits to the time triggered layer, and then time triggered layer packages it to Ethernet data frame, and send it to the network within the slot of the node.
Due to the field device is assigned its own time slot, so only one device sends data at a time slot.
Data acquisition and preprocessing: mainly complete data collection, data conversion, and data filtering and transmission.
If a node receives correct data from other nodes, the node adds it to the local member tables.
Symmetry Reduction of Time-Triggered Ethernet Protocol.

The data rate in different pattern or in different scanning airspace is different.
In scanning pattern, the data rate is low, but in important airspace, the data rate is higher than general airspace.
So the data rate in transition pattern is high.
Fig. 2 The phased array radar’s data rate in different patterns.
So we now use the real data input the algorithm based on the RST.

In essential, the projection is a method of observing data from different point of view, looking for the best degree to reflect data features and fully exploit the optimal information.
PPC is a technique for effective dimension reduction, which is suitable for high dimensional, nonlinear, non-normal problem analysis and processing.
In essential, p dimensional data is integrated into as the value in projected direction.
Through solving the maximum value of projection index function, we can obtain the optimal direction of projection, and fully reveal certain structure features of high dimensional data.
The involved data and operation of formula can be easily obtained by Excel.