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Since plastic deformations occur in the metal plate, the stresses of the second and subsequent bolt contacts are reduced, and the reduction is a non-linear one.
Here, a similar dependence of stress reduction in the second and third bolt contacts is observed.
The results of the numerical studies shall be confirmed by field tests to clarify the data.

Geomagic can build perfect polygon model and mesh from point cloud data easily and also can convert them into NURBS surface.
In fact, it is necessary to adopt different reconstruction method according to the type of data and the purpose of implication.
The reconstruction scheme is geared to the data source of CT/MRT, and the technical route of reconstruction model is shown in Fig. 1.Obtained the image data after CT/MRI scanning are stored and processed as DICOM format, and then put the data into Mimics.
The other is that the point cloud data is loaded in Imageware software in which characteristic curves and surfaces are gained.
Firstly, the original point cloud data of molar and incisor is gained and optimized in ATOS optic system.

The linking between C# and MATLAB is done using COM automation server and the data in the client C# program passes it to MATLAB and vice versa.
The Interface Free Controller Cards (IFC) is a set of IFC controllers used in the project to exchange the sensing and actuating data.
The brush motor card (IFC-BH02) is a slave card and it is used to supply power and getting data from encoder.
The DIP input data is coming from IFC-BL02.
IFC cards were used as the embedded controller to transfer and receive the data between the electronic and mechanical parts of the platform.

Comparison among experimental data, simulation data and the results of other predictive models [5]. a) Experimental data, b) Simulation data with 22500 nodes, c) Mori-Tanaka l/t=57, d) Mori-Tanaka l/t=97, e) Halpin-Tsai l/t=57, f) Halpin-Tsai l/t=97.
Comparison among experimental data, simulation data and the results of other predictive models [6]. a) Experimental data, b) Simulation data with 22500 nodes, c) FEM model, d) Improved Staggered model.
Comparison among experimental data [7], simulation results and the ones of other predictive models. a) Experimental data, b) Simulation data with 22500 nodes, c) Mori-Tanaka model, d) Halpin-Tsai model.
Fig. 5: Young’s modulus as a function of the filling fraction f. a) Experimental data [9], b) Simulation data with 12100 nodes, c) Simulation data with 22500 nodes.
Fig. 6: Young's modulus trend as a function of the filling fraction f. a) Experimental data [11], b) Simulation data.

Fractured types are recognized and fractural porosity is calculated by using bilateral logging data.
Then the fractural fractal dimension is calculated by using seismic data to predict the distribution of fractured zone.
To avoid the horizon before unreasonable load layer data model to the fracture system , the application of kriging techniques of data preprocessing [7] , the elimination of outliers , so that faults and horizons to achieve a reasonable match.
The calculation, using known calibration data fitting until the calculated results for the known geological conditions, to predict the unknown before.
Fracture porosity logging data into full play the advantages of high vertical resolution, direct characterization of cracks physical characteristics.

Classification rule is composed by nine features chosen from the network audit data.
The selected sample data is KDD CUP1999 database [8] which is authoritative test data in intrusion detection field at present.
This database provides a total of 4900000 data, including intrusion data with 4 major categories and 24 small classes.
Then, the training data and the testing data are tested with these rules respectively.
In addition, the correlation of different attack types and each feature of network data is not the same, so reduction of rule set and optimal coverage of rule still need to be further researches.

The platform contains four modules, namely mechanism base, data collection, data display and data analysis.
The data display module dynamically displays collected force curve, temperature, and saves the real time data.
Multisensor Data Fusion.
The data fusion process contains main procedures as multisensor acquisition of signal, data pretreatment, data fusion and result output.
The time series data fusion algorithm is introduced in which groups of local decision data is fused in time series.

The test was to transmit the non-critical data with short length, low speed, and low power.
In the communication, the packet data format follows the ZigBee 2007 protocol criterion.
Figure 8 shows the construction of the data frame, also called a data packet.
Figure 8: Data packet protocol The data packet is one of four packet structures provided in 802.15.4/ZigBee.
We can define the data payload in MAC sub-layer by ourselves according to our needs.

The nanometer sized Cu2O synhesised this way are highly active for four nitrophenol catalytic reduction.
Which further illustrated that, by nucleation crystallization separation method combines with oxidation reduction method, the particle diameter of nano Cu2O material is smaller.
At the same time, this kind of Cu2O has higher catalytic activity for four nitrophenol catalytic reduction.
References [1]Astam Kumar Patrai, Archie Data, Aim Baume, Catalysis Communications.

For both phases (anatase and P-25) there is a slight shift to the lower energy region and a reduction of the intensity of most of its peaks.
The mode related to the terminal Ti-O bonds, has a high reduction of its intensity and emerges a new vibrational mode around 828 cm-1, which may be related to the formation of nanoparticles of SnO2 on the nanoribbons surface.
The reduction of the absorption bands was accompanied by the displacement of peak, which suggests the formation of other organic compounds and therefore not complete mineralization of the dye.
From the data obtained, it is observed that, in general, the NRTi/P-25 showed a rate constant greater than those exhibited by the nanostructures of anatase (Fig. 3).