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Basic Theory of Strength Reduction Finite Element Method Strength reduction FEM combines strength reduction technique with elastic-plastic finite element method.
(2) Where, andare cohesion and internal friction angle in front of the reduction; andare cohesion and internal friction angle after reduction; is strength reduction factor, also known as strength reserve safety factor or slope stability safety factor.
Analysis data of land slope is numerous.
It’s based on the single- channel seismic data and shallow strata data collected from the slope zone of northern South China Sea to obtain a more accurate submarine slope form and shallow strata characteristics and to establish the simplified theoretical slope model (see 2.2).
Therefore, the parameters are obtained by making full use of existing research results of physical and mechanical characteristics of submarine soil in South China Sea, and trough the statistical regression analysis of static sounding data (see 2.3).

What’s more, by comparing 10 common kinds of data mining algorithms in our experiment, we have analyzed and summarized that data preprocessing plays a vital role on the performance and importance to data mining algorithms.
b) data distribution is uneven L.
Data preprocessing This paper aims to explain the importance of data preprocessing and how to preprocess KDD Cup 99 dataset, the purpose is not to list all of the data preprocessing techniques.
Data preprocessing aims to improve the quality of dataset by employing any methods which can achieve this purpose, such as dimensionality reduction, normalization and other measures.
PCA is the most commonly used linear dimensionality reduction method, its goal is to map high-dimensional data space to low-dimensional representation by linear projection, and expect the greatest variance in the dimension of the projection data, in order to use fewer features to represent original features.

With the development of the computer science and technology, especially of computer network, there are a mass of data provided for people each moment.
The requirements of data analysis are more and more high due to the rapidly increase of the data.
However various approaches using rough set theory have been proposed to induce decision rules from data sets taking the form of decision systems.
Output: an attribute relative reduction B.
Rough Sets: Theoretical Aspects of Reasoning about Data.

A data fusion algorithm based on Kalman filter is presented.
Data fusion algorithm Problem formulation.
Data fusion algorithm based on Kalman filter
Then export data to Excel file, carry through data filter and disposal, and calculate the value of the corresponding Q.
Select the F2, F3 data as study.

Spectroscopy study of silver nanoparticles produced by chemical reduction.
The chemical reduction process was carried out at room temperature.
The absorbance data collected were prepared with AgNO3 reagent grade.
In the case of the reduction performed by using NaBH4, the reduction of Ag ions is carried out instantaneously.
Also in this graph the absorption data of Ag NPs in solutions can be observed.

So it can get a same effect as original data sets to data analysis, and can construct classification modeling using it.
The experiments shows that the proposed algorithm can get high efficiency and can avoid the abundant data in follow-up data processing.
Introduction Data preprocessing is the most important process in web data mining or data analysis.
Generally, data preprocessing is referred to as data cleaning, data integrate, data transition, data reduction, et al., which processed before the implementation of mining algorithm.
Similarly, to overcome the data sets feature, Huang Rong-wei, Li Wen-jing discreted the data using the theory of rough sets [4, 5].

Size of pore after reduction determined by H2 concentration used during reduction where the higher the H2 concentration resulted in large pore size.
However, to perform reduction of NiO, several parameters must be considered namely gas type, gas concentration, gas flow rate, reduction process temperature, reduction process holding time and many more.
The bulk density before and after reduction was measured.
While after reduced under different H2 concentration, XRD data show that all peaks that belong to NiO disappeared and only Ni (ICDD file no: 01-088-2326) peak developed for all samples.
Ghosh, Reduction of nickel oxide powder and pellet by hydrogen, Trans.

The cold reduction ratio is one of the main factor of high strength Ti-Nb-IF steel production.
This text studied the affection of the cold reduction ratio on deep-drawing performance of high strength Ti-Nb-IF Steel, and assured the optimal process parameter which has supplied the theoretical guidance and reference data to the industry.
As the cold reduction ratio increasing, the ferrite grains refined.
cold reduction ratio 55% cold reduction ratio 65% cold reduction ratio 75% cold reduction ratio 85% Fig.2 Effect of cold reduction ratio on microstructure of experimental steel Mechanical properties The ReL, Rm and A80 of experimental steel were 322MPa, 412MPa and 9.5%.
The Effect of cold reduction ratio on mechanical property of experimental steel is as Fig.3 to Fig.4.

2.37 2.70 3.02 3.32 4.51 8 0.52 1.79 2.07 2.16 2.66 3.29 4.44 9 1.04 1.13 1.24 1.35 1.51 2.11 3.11 10 0.52 0.93 1.12 1.19 1.41 1.88 2.67 11 1.70 1.99 2.37 4.27 4.32 4.46 6.22 12 0.67 1.13 1.18 1.41 1.51 2.35 3.56 Analysis torque and drag reduction rate data through table 2 and table 3, the drag reduction effect of the non-smooth surface is gradually obvious with the increase of the flow rate.
From these two groups of data contrast, we found that drag reduction effect on the back of the blade is better than that of the non-smooth unit arrangement on the working surface of the blade, the pit diameter d=1mm have the best drag reduction effect.
But the drag reduction effect is not as good as the model 1, 2, 3, at the standard operating conditions Q=50m3/h the reduction rate was 1.36%, at the large flow rate the reduction rate was 3.6%.
In the selection of 12 kinds of drag reduction calculation model with non-smooth surface, model 11 have the most obvious drag reduction with about 6.22%.
Overview of the technology of bionic surface drag reduction.

In this extremely complex weak system, numerous oxidation-reduction couples’ electronic exchange rate on the electrode is slow; therefore, establishing equilibrium potential is slow.
Results and discussion Computer recorded the ORP (accurate to 0.1mV) and temperature (accurate to 0.1℃) indication during the experiment, with 1s sampling time, making ORP (mV)-t(s) diagram, as shown in Figure 2: Fig.2 The curve between seawater ORP (mV) of salinity 5,20,30,35,40 and time(s) During the measurement process, the temperature was controlled at about 25.0℃, continuous measurement time of seawater of five different salinity was controlled at almost 65000s, or about 16h30min, which won more than 30 million online monitoring data.
The results are shown in Table 1: Table 1 Range of the equilibrium value and the equilibrium time for seawater ORP of different salinity salinity average（mV） range of the equilibrium value（mV） the beginning moment of the equilibrium value the ending moment of the equilibrium value the equilibrium time of the equilibrium value 5 237.1 234.9—239.3 820s/0.23h 45030s/12.51h 44210s/12.28h 20 231.2 229.0—233.4 4580s/1.27h 47700s/13.25h 43120s/11.98h 30 231.3 229.1—233.5 7120s/1.98h 50830s/14.12h 43710s/12.14h 35 236.4 234.2—238.6 14630s/4.06h 59400s/16.50h 44770s/12.44h 40 234.3 232.1—236.5 18000s/5.00h 65520s/18.20h 47520s/13.20h From the measured data listed on the above table, though, the five salinity of the seawater have a large gap, the difference among the ORP values were all less than 6.0mV.
The data above has fully demonstrated the tremendous impact of seawater salinity on equilibrium time of the ORP values, mainly due to the more the charged ions in seawater, the stronger the attraction between ions, the more difficult to form a stable force, the longer required time to achieve ORP stable values.
[2] Determination of oxidation-reduction potential (Electrometric method), SL94-1994(1995).