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Comparsion between calculating data and test results Comparision between test data of cold-formed thin-walled lipped channel columns under axial compression [16] and calculating data of the methods above is provided graphically in Fig. 3.
Due to too much deviation between calculating data of Applied Calculation Method and test data (exceeding 123%), there is no display in Fig. 3.
Pt is test data, Pc is calculated value.
(1) Direct Strength Method is a reasonable predictor in that the data are in agreement with test data for 26% of the maximum residual and less than 14% of general residual.
(3) The data from the method in Australian/New Zealand standard is unsafe as a whole and has significantly discreteness

The problem can be solved by the data fusion technology.
Some data are shown in Table 2.
Corresponding output values of the input data are shown in Table 3.
There are 40 groups of known failure mode of fault symptoms data.
The result is shown in Table 6 with 20 simulation data.

According to the low efficiency of vegetable leaf image data mining problems, proposed an improved algorithm based on Apriori algorithm to get greatly related groups.
(1).experimental environment: server: P42．0GHz, 4G memory, SQL Server2000; ; client: P4 3.9 GHz, 2G memory (2). the experimental data pretreatment: choose 563 slice of cucumber downy mildew blade using photoshop tools separation, a total of 2457 pieces of disease spot, disease spot image connected data of image region, Obtain the original data, the following table 1 Table 1 Cucumber leaf disease spot image characteristics disease spot Area A Color C Brightness B Location P Premeter G gray median H Shape R 0001 1.16 brown 70 central 1.23 146 elongatd 0002 1.24 Green 78 edge 1.17 161 triangle 0003 0.05 light 100 central 1.41 123 circular 0004 0.55 light green 91 edge 4.65 128 triangle (3), using the improved Apriori algorithm support degree or more than 30% of the maximum correlation set {ACHR}, showed that degree of victims has nothing to do with brightness, location, but relates with area of shape, color, grayscale average, significantly
But for image data preprocessing, how scientific dynamic partitioning discrete interval, and not to divide the discrete artificial fixed interval is thin, is not conducive to dig up rules, so using coarse intensive algorithm to conclude mining rules, make the mining results more scientific.
The concept of data mining, and technology [M].
Large data set based on rough sets and genetic algorithm of data mining application research [D].

Research of technology CDMA has been made for use of data transmission in systems from the combined data and power supply transmission.
As this technology allows raising reliability of a physical level of data transmission essentially.
Experimental Data Research of technology CDMA has been made for use of data transmission in systems from the combined data and power supply transmission.
Research have shown that use of technology CDMA for data transmission in systems from the combined data and power supply transmission enable essential increase in reliability and link speed of data- in comparison with existing systems Acknowledgement In this paper, the research was sponsored by Jilin Provincial Science and Technology Department (Project No. 20140414025GH).
Iterative Multiuser Interference Reduction: Turbo CDMA.

Due to the use of the single scan mode, in order to obtain complete and accurate mobile point cloud, a multi-angle scan for mobile phones and then using the data of the marking points for data automatic splicing is to carry on, and cellular phone multiple shots of the data is to the same coordinates.
Mobile data acquisition of point cloud is shown in figure 2, in order to more clearly display data result, in figure the point cloud has been color up, and the round hole is a landmark.
Point stage of processing is a combination of point cloud data, smoothes the point to get complete and perfect point cloud data, and is prepared for the polygon stage.
The basic process of data processing is as follows: alignment point cloud, item unless the connection and get rid of in vitro isolated point, noise reduction, unified sampling and packaging, and so on [3].
Aligning point clouds are scans of the original data with the purpose of Geomagic Studio coordinate system alignment, make it easy to determine coordinate in curved surface data transmission to downstream CAD software.

IF steel was homogeneously cold rolled between 30-95% reduction in thickness.
In addition to this a {411}<148> component began to intensify, reading 5R at 95% reduction.
At 50% reduction figure 2c complete α and γ fibres formed and strengthened with increasing reduction until 80%, figure 2e and g.
Grain B is an example which is of ~10µm thickness after 80% rolling reduction.
A TEM study, which is very challenging for such a thin material, might give the required misorientation data.

The concentration reductions were greater in soil-plant system compared with contrast.
Data analysis.The inflow and outflow concentrations are calculated for sediment and nutrient removal efficiency.
The data are analyzed by EXCEL and Origin Pro 8.0.
Inflow concentration effect.In this study, concentrations used here (Table1) are summarized from related data in literatures and the compared results are showed in Fig3.
All the reductions generally decreased with increasing concentrations.

The anterior– posterior axis was parallel to the anterior commissure–posterior commissure line) to ensure the images were all aligned within about 5cm and about 20 degrees of the template data released with SPM. (2) Segmentation, Unified Segmentation method and New Segmentation method in tools were separately adopted as different tasks to the same images aim to compare the effect of these two methods.
Proportionate scaling in statistical analyses was selected which indicated the volume data should be divided by the TIV.
Table 2 Location of GM volume reduction with AD vs.
Table 3 Location of WM volume reduction with AD vs.
Alzheimer’s disease: neuropathological and etiological data.

Similarity browsing is achieved by keeping structure of data in high dimensional features space while mapping the features to 2D visualization space.
The dimension of image features is usually high, so dimension reduction techniques are needed to display high dimension data in 2D visualization space. [11] used MDS (Multi-Dimensional Scaling) to display images, and similar images are displayed close to each other.
Similarity functions can be designed in two major ways: manually designed and learnt from data.
Though there are several website programming languages, few of them can get data from the server asynchronously and have high computing power.
Ma., “Texture Features for Browsing and Retrieval of Image Data.

The influence of thermal reduction, rTh (200 °C, 20 min) and UV reduction, rUV (3 mW∙cm-2, 80 min) of the GO layers were studied because from the viewpoint of electrical properties it is necessary to remove the peak at about 300 nm, see Fig. 3).
Fig. 2: The visual character of prepared samples as seen in the optical microscope with a 10× magnifying lens: a) without reduction b) thermal reduction at 200 °C, 20 min. c) UV reduction 3 mW∙cm-2, 80 min., 3 layers inkjet printed.
Fig. 3: On the left absorption spectra of our GO (not reduction – black line, with UV reduction – red line and with thermal reduction – blue line); on the right absorption spectra of GO suspension in a 2 mm cuvette ranging from 200 to 900 nm [7].
Ellipsometric data were evaluated using the DeltaPsi2 Company Jobin Yvon Technology software.
The indexes were determined by spectroscopic ellipsometry and the obtained data were analyzed based on the developed model.