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The austenite was identified as the common solution of the data set, and its mean orientation has been calculated.
Recently, SEM-EBSD technique is also being adopted for assessing orientation relationships, as it can provide large data set for statistical analysis.
The EBSD patterns were compared with the bcc iron database to obtain the microtexture data.
The indexing rate was 66% for the scan, and a noise reduction/data extrapolation schemes were adopted to obtain the crystal orientation map.
The predicted g orientation was compared with 24 possible gi’s for each of the data points, to find the associated misorientation between them (using Quaternion).

For instance, Mon Gijun, etc. (2009) based on GIS and statistical analysis to Changping District in Beijing as an example , using the 1996-2004 land use data and basic geographic information data, combined with qualitative analysis and quantitative analysis, spatial analysis and time analysis to study the driven mechanism which influence land use change[2].
Data sources and methods Research area is 1002.1 km2; the track number of TM images is p127r42, Time is respectively June 10, 1990, November 23, 2001, April 3, 2006 and September 21, 2010, data format is Geotiff.
Data preprocessing is given priority to with Erdas software, photoshop is complementary.
Visibility is calculated through historical meteorological data.
SPOT (2.5 m) image by high resolution visual interpretation methods, combined with field data classifying the confusion matrix, and classified on the basis of the validation.

This Research[3] lack in the support of comprehensive data analysis in process parameter optimization.
The rolling scheme and data analysis are based on the orthogonal experimental design.
The orthogonal array is applied to designing the experiment and analyzing the data.
The range analysis and variance analysis are mostly for experimental data analysis.
Ovality Study of Shafts with Light Area Reduction by Cross Wedge Rolling[J].

The system has eight channels so that eight EEG data streams can be recorded and stored simultaneously.
In this system, we adopt the SPI protocol as the data transmission.
We can do secondary analysis to the EEG signal data by utilizing it.
The PC application designed by C sharp Results The EEG data, shown in Fig. 5(a), is record by the Graze University.
The data sets are used to evaluate the performance of the system.

The experimental data demonstrate that the cooling capacity and EER of the system increases with increasing outlet cooling water temperatures and decreases with increasing outdoor environment temperatures.
In addition, the correlation of the system EER is calculated by using the least square method based on the experimental data.
The setup includes three parts, cold air system, water system and the data acquisition and measuring system respectively.
All the data such as the temperature and flow rate, pressure and power measurement signal are collected by the Agilent 34970 A[3-4].
It is concluded that the following important conclusion: 1) The cooling capacity and EER of the system increases with increasing outlet cooling water temperatures and decreases with increasing outdoor environment temperatures.; 2) Based on experimental data, using the least square method, get the calculation correlation of system EER: ; 3) The research provides the theoretical data for the proposing of system control strategy.

Room temperature (300K) X-ray diffraction data were collected on a Philips PW 1710 automated X-ray powder diffractometer using CuKa radiation, graphite monochromator, and Xe-filled proportional counter.
Data were collected in the 2θ range of 5° - 90° at a scan speed of 2 degree/min.
This results in a tendency to shrink the lattice, which causes reduction in lattice constant [32].
Percentage reduction of COD values. 4.
Wang, Preparation and characteristics of ferrite catalysts for reduction for CO2, Mater.

So it may uncover the nonlinear structure of chatter data, and offer significant information for chatter classification.
Secondly, a SVM scheme for quality classification is provided to classify the chatter data.
For kernel-based PCA, nonlinear principal components comprise nonlinear interactions between the data points.
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine.
Fusion of face and speech data for person identity verification.

CVT Performance and Experimental Setup This experiment aims to investigate the effects of varying hydraulic pressure on the reduction ratio and efficiency of the CVT.
Hence, variations in pressure would result in significant changes in reduction ratio.
Using a data extraction card with a pseudo control interface, control of all instruments and simulation of some of the transmission’s computerized behavior was achieved.
This allows the engine to be kept at an optimal speed for the purpose of energy conservation and carbon reduction.

Several ways are available for the industrialists such as disposal, recycling, reduction, substitution or avoidance. 858 Title of Publication (to be inserted by the publisher) But how can the reduction of energy and material consumption be made?
Additional advantages afforded by the use of PM for this application are weight reduction, added functional features, increased stiffness and lower pin deflection, precisely controlled splines, increased durability of the splines without secondary heat treatment and last but not least, significant cost savings.
The buzz idea is “No data-no market”.

According to the related data, every 10000 kWh of electricity-saving can reduce CO2 emissions by 9.5 tons [6].
So the annual national emission reduction of CO2 can be 1643.5 tons.
So the further research and extension of the invention can not only help us get new ideas for energy saving and emission reduction but it can also bring important significance for the construction of China's energy saving, environment friendly society.
Acknowledgements This work was financially supported by the Northeastern University Branch Research on Integration over Technology of Energy-saving and Emission Reduction in the Agglomeration of Metallurgical Industry (2012ZX07202-001-003) and National Commonweal Project on Environmental Protection Research on Emission Characteristics and Monitoring Technology of Smoke and Dust in Iron and steel Industry (201409023).