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Strength reduction elasto-plastic finite element is a method that combined with the strength reduction technique, the limit equilibrium theory and the principle of elastic-plastic finite element, which firstly determine the stress, strain or displacement field of slope for a given strength reduction factor.
And the reduction factor is defined as the slope stability safety factor.
Calculation model and mechanical parameters According to the design and measured data, the calculation models are shown in Fig. 2～Fig. 6.
Table 4 Stability calculations of high fill embankment with limit equilibrium method Section(m) YK123+910 +920 +940 +960 +970 +980 YK124+020 YK124+040 Minimum stability factor 1.373 1.321 1.316 1.316 1.318 1.378 1.325 1.392 3D FE analysis of stability of High Rockfill Abrupt Slope Embankment Calculation model and mechanical parameters According to the design and measured data, the calculation models are shown in Fig.13～Fig.14.
Slope stability analysis by strength reduction[J].

However, in data analysis and preprocessing tasks, one is often confronted with the problem of selecting features from very high dimensional data.
The experiment was tested on three benchmark data sets.
Experiments and Results In order to evaluate our proposed method, we performed experiments on three benchmark data sets: Emotions data set, Scene data set and Yeast data set.
Mining multi-label data.
In: Data mining and knowledge discovery handbook.

Introduction Rough set theory, initialized by Pawlak [1], has been conceived as a useful tool to conceptualize and analyze various types of data.
Various approaches using rough set theory have been proposed to discover decision rules from data sets taking the form of decision systems.
Interval-valued information systems are an important type of data tables.
In this section, we investigate attribute reduction approach about the δ+ lower and upper approximation reduction in DIIFDS.
Using the δ+ lower and upper discernibility function, all the simplest δ+ lower and upper approximation rules with respect to every object in DIIFDS can be draw. 4 Conclusion Interval dominance intuitionistic fuzzy decision systems are an important type of data tables, which are generalized models of symbol-valued decision systems.

This texture was much intensive in the tape at 99% thickness reduction than in the tape at 87% thickness reduction.
Texture fraction data corresponding to 1, 3, 4, 5 hours annealing are shown in Fig.3a.
The absence of data at 2 hours is owing to the failure EBSD experiment of this sample.
The absence of data for 1 hour is also because of the unsuccessful EBSD experiment of this sample.
Fig.5 {111} pole figures of as-rolled tapes in 87% total reduction (a) and 99% total reduction (b).

The oxygen reduction reaction (ORR) in alkaline solution is of great importance in many fields.
Electrocatalytic activity The reduction range of the cyclic voltammograms of the investigated hybrid catalysts is shown in Fig. 2.
The MPTpz/MWCNTs shows better electrochemical performance to oxygen reduction than the bulk MPTpz.
The RDE data were analyzed using the Koutecky–Levich (K–L) equation: I-1=Ik-1+Ilim-1
And the CV also shows that FePTpz/MWCNTs are more efficient for O2 reduction in alkaline electrolytes than CoPTpz/MWCNTs attributed to iron derivatives have large ionization potentials and better oxygen binding ability which makes them good catalysts for O2 reduction.

Furthermore, the static image-based methods deal with relatively less data, and they can achieve faster recognition speed and meet the real-time demand.
However, the Gabor features are usually high-dimensional and the dimension reduction should be done.
Feature Dimension Reduction.
So DWT can effectively realize dimension reduction.
Thus, the further reduction of feature dimension is obtained by DCT.

Under the guidance of GHG Protocol standards for carbon emissions, the carbon dioxide accounting models on the process as a whole boundary are established, in which, the carbon emissions inventory is divided into three levels and the input data consists of CO2 emission coefficient and activity factor level data.
It can be seen that the model results are directly dependent on the data source and its quality, with activity factor level data provided by companies, and the CO2 emission coefficient obtained by measuring, upstream enterprises and the related database access provided.
But the process model does require this data, so the process model is more complicated than the enterprise model.
There is no quantitative analysis of these data in this article, but which will be analyzed and discussed in the later work
CO2 Emissions Data Collection User Guide, Version 6.

Noise reduction algorithm of MEMS gyroscope signal is studied in detail by combining CS theory with lifting wavelet transform.
Noise reduction methods of MEMS gyroscope commonly include Kalman filtering, time series analysis, etc.
Split is to partition the data into even sequence and odd sequence .Prediction is to predict the odd sequence with the divided even sequence, the received prediction error is the transformed high-frequency component.
Experimental Results and Data Analysis The experimental validation is mainly partitioned into static and dynamic experiments.
Conclusion This paper presents a noise reduction algorithm combined with CS and LWT.

From 300K up to 1000K, the predicted thermal properties are compared with experimental data.
The results are compared with experimental data and good agreements are achieved.
Considering the errors of the thermal conductivity measurements and the data reads from Ref. [12], the theory applied in this work can be considered believable.
The theoretical reduction of thermal conductivity due to oxygen defects is shown in Fig.4.
But as temperature increases, the reduction of thermal conductivity becomes smaller.

In noise reduction method studied in this paper the surrounding noise reduction unit was arranged into the voice sample unit.
After processing a voice signal after noise reduction was generated and flowed into post amplifier to amplify and output.
To acquire better noise reduction function gain of pre-amplifier is set to maximum while gain of post-amplifier is set to minimum.
Experiments on surrounding noise reduction To verify far field noise reduction effect of studied method, four contrast measurements were done.
According to item 7 in GBT 13504-1992 the data which is recorded by every listener were processed.