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The material parameters σci and mb in the HB criterion are reduced directly in [3], and the MC parameters corresponding to the line tangent to the HB curve are reduced by the traditional MC strength reduction method [4].As for the HB criterion, the relationship between the HB and MC strength reduction factors are developed [5].
Fu [10] also derived the relationship between the material strength reduction factor incorporated in the HB yield function and the shear strength reduction factor in the p-q plane and exactly implement the non-linear shear strength reduction on the FLAC3D.
To verify our proposed reduction method, the FEM results were compared with the results of limit equilibrium methods: the Gle/Morgenstern-price method, the simplified Bishop method and the corrected Janbu method.
By analyzing the data in Table 3, influences of dilatancy angles on the factor of safety can be approximately described as a linear function, see Eq. 19
Jia: The stability of homogeneous slopes based on strength reduction, MEng thesis (Chongqing Univ., Chongqing 2007)(in Chinese) [13] L.Y.

China, 650500 a1139257776@qq.com, b15808867407@163.com Keywords: Foundation break; Vehicle test; Parallel acquisition and data transmission; Large data processing Abstract.
The system design concept and concrete implementation of the key technologies such as parallel acquisition and data transmission, large data processing and time-frequency noise reduction were all introduces in detail.
When collecting external host computer, each data acquisition module picked by CRIO-9862 after the summary to be uploaded to the PC for further analysis, while the external LCD display critical data speed, brake temperature; otherwise CRIO temporary hard disk data to be tested after the upload. 3.3.
Conclusion Based on the parallel acquisition and data transmission, large data processing technology, designs out a portable car braking performance-based multichannel detection system.
The Design of Data Acquisition System Based on LabVIEW.

According to theories and experiments, this paper presents the relations between the adding flux and reduction of Sr-compounds with the technical parameters.
The results show that composition of flux played important roles in the reduction process.
In the melt-leaching-reduction process, the driving force for Sr reduction reaction are very low at the temperatures normally used. [3] In this paper, a new process that using electrochemical reduction to prepare Mg-Sr alloys have been developed.
Compared with melt-leaching-reduction process, driven by electric energy, the driving force kinetics for Sr reduction in the new process was enforced effectively and higher Sr content in Mg-Sr alloy would be achieved.
H.: The practical thermodynamics data book of inorganic matter.

The data come from SQL Server 2000 and create the structure of data warehouse.
Building the Data Warehouse.
Data Warehousing: Bringing It All Together.
Data warehousing fundamentals, 2nd Edition.
Current Practices in Data Warehousing.

Local linear embedding is one of the main algorithms in the manifold learning, which is also a new dimension reduction technique of the nonlinear data.
Fig. 1 Swissroll examples of dimension reduction For the high-dimensioned in a D-dimensioned group Xi∈RD,i=1,…,N, if a nonlinear f:Y→X, Yi∈Rd,i=1,… ,N,d≤D is implied, the main goal of LLE algorithm is to search for a reflecting relation between Xi and Yi, then to realize the dimension reduction and identification of the data, which provides a useful tool for the data analysis.
The data Xi and its neighbor can be represented by the weight coefficient of the neighbor data.
We use the LabVIEW software writing data acquisition procedure to accomplish the data collection.
1.2446 The three states of the AE signal phase space reconstruction, reconstruction of the experience of 12 selected embedding dimension, delay time 1, the reconstructed three sets of data locally linear embedding dimension reduction, After the dimension reduction of data as the feature vectors, and then the tool will be reflected in three different states of the feature vector into the support vector machine support vector machine training, the training data shown in Table 1.

Formal concept analysis and rough set theory provide two different methods for data analysis and knowledge processing.
For an initial data sets described by formal context, look for absolute necessary attribute sets by applying rough set theory.
Introduction Rough set theory put forward by Pawlak is a new mathematical method in the domain of intelligence data analysis and data mining.
As the powerful tool of data analysis and knowledge process, concept lattice has already applied widely in the domain of knowledge engineering, data mining, information retrieval, software engineering, etc[5～6].
Data sets are described by formal context exactly.

Introduction of Shear Strength Reduction Technique The shear strength reduction technique (SSRT) is an effective way to compute the factor of safety (FOS) for slopes by numerical method.
This method has been referred to as the ‘shear strength reduction technique’ [5].
Increase the shear strength reduction factor Ftrial gradually with 0.01 increments.
Table 2 Data for stability analysis of Xietan landslide in natural state Ftrial Horizontal displacement of KP [cm] Incremental percent of the horizontal displacement [%] Difference of the incremental percent [%] 1.10 0.186 - - 1.11 0.328 76 - 1.12 0.499 52 -24 1.13 0.722 45 -7 1.14 0.984 36 -9 1.15 1.348 37 1 1.16 1.815 35 -2 1.17 2.418 33 -2 1.18 3.457 43 10 Stability Analysis of the Landslide in Long-term Reservoir Water Level Conditions.
Table 3 has indicated the data for landslide stability analysis in long-term water level conditions.

Then CO2 emission is calculated in the RHF—EAF flow for treating V-Ti magnetite according to data from the pilot plant in Pangang Group.
Based on the data from design and real production the text calculated the quantum of CO2 emissions.
According to these data above we can calculate the ratio of blast furnace gas and coke oven gas and the result is that among the gas mixture blast furnace gas accounts for 60% ,of course the rest is coke oven gas.
The carbon content of metallized pellets is about 5% and the carbon content in the hot metal is around 2%.According to the mass balance calculation we can get the data of CO2 emissions to produce one ton hot metal.
The calculation is based on the energy consumption which is different from the calculation of the RHF-EAF process and all of the data come from the real production.

Sulfur Oxidation and Coupled Iron Reduction at Low Temperatures Daniel Kupka1,a, Mark Dopson 2,b and Olli H.
Tuovinen3,c 1 Institute of Geotechnics, Slovak Academy of Sciences, Watsonova 45, 043 53 Košice, Slovakia 2 Department of Molecular Biology, Umeå University, SE-901 87 Umeå, Sweden 3 Department of Microbiology, Ohio State University, 484 West 12th Avenue, Columbus, Ohio 432104 a dankup@saske.sk, bmark.dopson@molbiol.umu.se, c tuovinen.1@osu.edu Keywords: Acidithiobacillus ferrooxidans, psychrotrophic, iron, sulfur, oxidation, reduction jarosite, schwertmannite.
Upon sulfur oxidation, sulfate formation was associated with a decrease in the pH, and the concentration of Fe 3+ decreased because of its concurrent reduction to Fe 2+ in elemental sulfur media.
The data indicated that the Fe 3+/Fe 2+ redox pair could compete with the O2/H2O couple as an alternative acceptor of electrons from the bacterial sulfur oxidation.

This reaction utilizes a high-temperature reduction using the weakly reducing hydroxyl groups of a solvent such as ethylene glycol.
Reference patterns were from 2002 PDF-2 release from the International Center for Diffraction Data ~ICDD, Newtown Square, PA, USA.
The reduction rate of Cr (VI) concentration by the two iron nanoparticle samples, respectively, was measured over time.
The free and immobilized on resin iron particles were then compared in terms of Cr (VI) reduction rate.
Figure 7a shows the kinetic data during the reduction of Cr (VI) by iron nanoparticle immobilized on CMC substrate at room temperature whereas Figure 7b shows the kinetic data resulted from free the iron nanoparticle sample.