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Stability criterion The shear strength indexes are c and φ, Fk is the strength reduction factor.
Based on such a criterion for evaluating the instability, it is convenient to compare the calculated displacement with infield-measured data, which is helpful to monitor the development of safety of the slope and make engineering judgment based on in field measured displacement data.
At each load step, the calculated data could be output as required, such as the deformed mesh, displacement and stress of elements and nodes, stress and deformation contour map.
“Slope Stability Analysis by Strength Reduction”.
“Slope Stability Analysis by Strength Reduction”.

The index system reflects not only current situation, but also situation before and after this work. 1.2 To establish a evaluation index system According to principles, national planning goal for as well as research bibliography on energy conservation and emission reduction for reference, reality of Jiangsu about environment and limits of data, here we divide indicator system into layers-goal layer, rule layer and indices layer.
The original index data standardization, standard matrix Z； Step 2.
Following with the Jiangsu province thirteen city above eighteen indexes data in 2008, this paper adopts the method of principal component analysis empirical evaluation, This paper uses the data from the" Jiangsu Province in 2008Statistical Yearbook", each city2008statistical yearbook,2008 each city Environmental Status Bulletin 2.1 City industrial energy saving and emission reduction investment performance comprehensive evaluation By means of statistical analysis software Minitab15.0, on 18 indicators, do principal component analysis, Evaluation of the results in Table 2 are obtained.
Conclusion According to the data table 2-5, The following Conclusions is obtained ,respectively
[4] Data Information on http://www.jssb.gov.cn/

Therefore, the system model reduction is critical.
So the balanced truncation model reduction method is more suitable for order reduction of the large scale systems.
Fitting results and test data are shown in Fig. 1.
As can be seen from Fig. 1, vector fitting results fit the test data in a very high degree. .
Figure 1.Vector fitting results compared with test data.

Finally, the correctness and superiority of this algorithm are proved from the reduction experimental results of related data sets.
Due to factors such as a large amount of data and multi-sample properties, the attribute reduction in rough set theory, often fail to find the smallest reduction in the limited time period.
Faults features are selected based on the attribute reduction algorithm of rough set of particle swarm and the diagram of particle encoding is shown in Fig. 2: In terms of the selection of training set and the test set in evaluation of particle adaptability, 200 sets are respectively chosen randomly from normal data and three kinds of fault data as the training set from the primary simulating original data while 300 sets are respectively chosen randomly as the test set.
The obtained data shall be first preprocessed then dimensioned and normalized before corresponding fault feature extraction and selection.
Table 1 Results of Attribute Reduction in Each Data Set Name of the data set Number of the attributes record Number of the records Number of the reduction attributes Number of the minimum reduction attributes The excellent rate The running time Vote 17 435 9 8 90 6453.751 Wine 14 178 6 5 80 1082.538 Soybean_ large 36 307 9 9 100 4031.657 Zoo 17 101 6 5 80 463.136 Lymphography 19 148 6 6 100 737.375 Sponge 45 76 8 8 100 417.636 The following indicators will be used to compare and measure the influence of this algorithm on the reduction performance: (1) the number of reduction attributes, (2) the excellent rate, (3) the running time From the effect of the reduction, the algorithm can acquire a reduction on the relatively small number of attributes in all data sets, which is attributed to the larger search space of particle based on the optimization capability of the PSO algorithm.

Once data theft, it will bring immeasurable losses.
The chip achieves data transmission with standard physical interface and data transmission protocol.
In addition, the chip adopts 3DES method to encrypt data.
Research on computer network data security strategy [J].
Multisensor data fusion and its applications[M].

Formal concept lattices and rough set theory are two kinds of complementary mathematical tools for data analysis and data processing.
FCA and rough set theory are two kinds of complementary mathematical tools for data analysis and data processing.
In addition to being a technique for classifying and defining concepts from data, FCA may be exploited to discover implications among the objects and the properties.
References [1] Yao Y Y.A comparative study of formal concept analysis and rough set theory in data analysis, Rough Sets and Current Trends in Computing.
[3] Petko Valtchev, Rokia Missaoui, Robert Godin: Formal Concept Analysis for Knowledge Discovery and Data Mining: The New Challenges[C].

The kinetics showed the AO7 reduction rate can be greatly improved by the addition of sulfate and RF, thus it is possible to speed up the start-up of AO7 reduction system under appropriate condition.
For this reason, oxidation following reduction of the –N=N– is favored for the degradation of azo dye, with reduction being the rate-limiting step of the overall process.
The balance between AO7 and SA (data not shown) indicating that the reduction plays a major role in the AO7 decolourising process.
Data shown in Fig. 2 indicated that the absence and presence of RF made no big difference, while the existence of sulfate can greatly influence the variation of the electron donor.
The kinetics of AO7 reduction.

Based on the data stored in memory mode, this article proposes a new reduction algorithm.
First, the low-high column of data processing attributes: Because the data in memory stored in binary form, TableElement is short data type defined by the macro, which accounts for two-byte, 32-bit systems, a byte is 8, the low may represent 0-255.
Greater than 255 data, referred to as a high.
Step Four: Then, when all the data which is sequentially in the order of LSD (Least significant digital) of attribute reduction are thrown into the bucket, the initialized objIdx[] array is written the corresponding value, namely updated the data line number, it is sorted.
Subsequent authors will further develop applied research how to use the new algorithm for large data mining.

The obtained results of thermodynamic modeling and experimental data showed that it is possible in principle to directly microlite boron steel by reducing it with aluminum and silicon contained in the metal.
The obtained TM results showed good convergence with the experimental data [21].
There is no data on the processes of boron reduction from slags containing B2O3, reducing elements that are part of the processed steel (aluminum, silicon, carbon).
In table 1 presents TM data on the degree of reduction of boron depending on the aluminum content in steel in the temperature range 1400–1700 0С, which indicate its decrease with increasing process temperature for all initial concentrations of aluminum and increasing the degree of boron reduction with increasing aluminum concentration in the metal.
An experimental study of the distribution of boron between the oxide and metallic phases confirms the data of TM on the possibility of boron reduction from slag containing 4% B2O3, aluminum and silicon in the steel, and the influence of the initial aluminum content in the melt on the degree of boron reduction.

It provides basis and reference for the optimization of drag reduction for the vans.
The pressure and velocity analysis Body surface pressure is an important data to characterize the performance of the car.
Taking the van without a dome as a comparative object, by analyzing the data of the measured wind resistance, the changes of wind resistance before and after the installation of different types of domes may come to a conclusion.
To minimize the test error of wind resistance on van model, for the same model, continuous test three times to take the average, and take it as the data of wind resistance this type of van model suffers.
When the wind speed is 40m/s, the maximum drag reduction rate reaches to 16.9737%.