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The results demonstrated when the slope stability in the seasonal frozen regions was analyzed using shear strength reduction method, the two deterioration modals can provide the data reference for the analysis.
So study on the damage degree of shear strength parameters of c and φ, which can provide data reference for slope stability analysis.
It can provide data reference for soil slope stability analysis in seasonal frozen regions.
The basic parameters of the soil Basic parameters Natural water content Maximum dry density Optimum water content（w） Data 3.4% 1.65g/cm3 21.0% The simulated specimens with mold on the basis of determination the optimum water content of slope soil were made.
The affect to data c and φ by different F-T cycles When the F-T cycle times increases, the shear strength parameters c and φ of the F-T surface all reduces (Figure1).

However, compared genetic sampling is a relatively new data-collection approach[3][4].
The data sources of this paper are retrieved from (www.css.zju.cn/mmb/question/ country/2000a.htm)[7].
Traditional statistical techniques were based on the analysis of biological data.
However, it is hard to integrate the diverse heterogeneous data by adopting the original statistical techniques [16].
Enzo, FLAME, A Novel Fuzzy Clustering Method For The Analysis of DNA Microarray Data, Journal of BMC Bioinformatics, 8, 3, 2007

Surface strain data, potentially derived by full-field optical methodologies are used in the assessment of the delamination pattern, through strain field perturbations caused due to damage evolution.
Relations between delamination damage and surface strain field disturbances are established by exploiting data decomposition methods using Zernike polynomial moments.
Figure 3: Indicative contour plots of x-component of strain of the surface layer when the delamination damage is located at different interfaces (interface 2, 5, 7, 14, 15, 20) Delamination Damage Detection Using Shape Descriptors and Artificial Neural Network A number of shape descriptors (Zernike moment, Tchebichef, Discrete Fourier transformation, etc) can be used for data reduction to simplify data introduction into the Artificial Neural Network (ANN).
In the present study, the Zernike polynomials (Eqs. 1-3) are used for decomposition of the strain data taken from the previously described numerical simulation of the stiffened panel.
ρn-2s (2) Vn,mx,y=Vn,mρ,ϑ=Rn,m(ρ)eimϑ (3) The most important Zernike terms derived from data decomposition are then used to train an ANN, which maps the delamination damage parameters to shape features of the surface strain disturbance, i.e. the strain difference between damaged and undamaged panel.

Keywords- Data mining, Frequent pattern mining, Association rules Abstract-Frequent pattern mining has been a focused theme in data mining research.
Orlando et al. [13] proposed an algorithm that combines transaction reduction and direct data access.
Efficient Data Mining for Path Traversal Patterns.
Set-oriented data mining in relational databases.
Data Knowl.

In this paper, we propose a new method of data repairing based on Anatomical CAD.
Generally, Reverse Engineering refers to the process of reconstructing CAD models from existing parts, which consists of data acquisition, data pre-processing, incomplete data repairing and CAD modeling [1].
When capturing data, measured data of a product can be incomplete because of the inaccessibility or invisibility of the surfaces for the measure tools, which need to take data post-processing and repair the model.
Fig. 3 The scaned point cloud of model Fig. 4 The STL data Generally, much more than necessary points obtained by a Potable CMM would significantly affect the speed of processing data.
After operations of the point cloud Noise Reduction, Sub Sample, and Mesh Data, an STL file is obtained, as shown in Fig. 4.

In this study, surrogate models are constructed to approximate the behavior of simulation models for springback angles, sidewall curl, and sheet thickness reduction in U-bending process.
Then, surrogate models are constructed utilizing the training data.
First-order PRS is found to be most accurate surrogate model for prediction of the springback angles, side wall curl, and sheet thickness reduction.
In this work, 12 parameters are considered as the essential process variables affecting the occurrence of springback angles, sidewall curl, and sheet thickness reduction.
To calculate the MAE, first a surrogate model type is constructed N times (where N is the number of training points), while leaving out one of the training points as the validation data each time.

The results shows that: composite damping steel plate applying in acoustic bridge can reduce sound radiation of double cylindrical shell effectively, properly increasing damping between composite plates is beneficial for vibration and noise reduction.
Presently, submarine's noise and vibration reduction were mostly changing the input or dissipation of energy to reduce the structural vibration by the following three main measures: reducing internal mechanical vibration[1]; changing the parameters of the shell structure[2,3]; laying damping material in the shell surface[4-6].
It can be found that structural design theory and application based on acoustic performance in foreign countries is more mature from cited data of the Russian submarines.
Therefore, based on structural acoustic performance, researching and designing new materials, new structures of acoustic bridge between the shells may be a better way for vibration and noise reduction from the point of inhibiting vibration wave transmission.
Therefore, composite damping steel is a better functional material for noise and vibration reduction.

In this study, based on the data about energy consumption and GDP in the construction industry of five northwestern provinces, and estimates the carbon emissions of construction indirectly.
Many scholars, with Aurelia Bengochea-Morancho (2001) analyzed this relationship by choosing the panel data from 1981 to 1995 of ten European countries and obtained the differences between the most industrialized countries and other countries[1].
Therefore, taking the construction industry’s annual value and energy consumption of northwestern five provinces in 2011 and 2010 as sample data, this essay will use Decoupling Theory to do decoupling analysis to economic growth and carbon emission of construction industry in northwestern area, obtaining the impact degree between them.
The understanding of three indicators “m”, “r”, “p” can be shown in Table 1: Table 1 Each indicator affecting relationship status breakdown Table Number Indicator Affecting relationship status 1 m,r,p≥1 coupling relations 2 0＜m,r,p＜1 weak decoupling 3 m,r,p≤0 strong decoupling Variable selecting and data processing In this study, the raw data about construction output and energy consumption richard from the “Statistical Yearbook of Shaanxi Province, 2011-2012” and “Statistical Yearbook of China Energy 2011-2012”.
Table 2 The table about various indicator data in the construction of five northwestern provinces Province The output of Construction (one billion yuan) Standard coal (tonnes) Carbon emissions (tonnes) 2011 2010 2011 2010 2011 2010 Xinjiang 132.0370 96.3719 66.81156 57.79158 43.03648 36.88664 Qinghai 31.9416 27.9606 23.69127 20.09219 15.24991 12.91465 Gansu 92.5841 75.1988 68.79113 64.49961 45.64565 42.43085 Ningxia 42.7917 34.2694 42.95884 37.18348 25.46704 21.39099 Shaanxi 321.6630 306.3611 129.8089 127.1699 83.25797 81.66126 Fig.1 The histogram compare with various indicators in the construction of five northwestern provinces The Impact degree analysis In this essay, put the energy consumption and GDP in the construction industry as the original data, apply the IPCC emission factor method indirectly derived carbon emissions.

Data stream in a popular research topic in big data era.
Also in data streams, the data points can only be sequentially accessed.
A Brief Introduction to Data Stream Methodologies A data stream generates very large data continuously.
Due to gigantic size we cannot store data from data stream on disk.
This method handles very large amount of data .It uses data reduction methods such as divide-and-conquer to handle data stream.

Implementation of Lean Tools-Value Stream Mapping & SMED for Lead time reduction in Industrial Valve Manufacturing Company Mohammad Ashif, a *, Sanjay Goyal,b and Ashish shastri ,c a M.E.
From the current data analysis find out the problems and give some recommendations to improve the production lead time and provide a future state value stream map, we reduced the lead time through VSM, from 46.63 days to 43.03 day.
Lean manufacturing target the reduction of set up time and change over time[2,9].
In this context the work proceeded to find the each elemental values of the product and will minimize it by waste reduction approaches through VSM along with SMED techniques.
Current State Value Stream Map (CVSM) According to collected data and information; Current state map drawn as shown in Fig-3, that showing position of material and inventory at various stage of processing.