Search results

Model feature parameters involve geometry, topology, process reference, and assembly reference data of cost feature model, which is the data interface of cost feature model and other feature domain by means of feature mapping and parameters transmission.
Levels: Levels of the model is used to distinguish product data carrier embedded in the cost model[4].
Input data starts from input layer, then hidden layer and output layer in the end.
Feature description data: refers to basic data of cost feature, including feature name and ID number.
Other related data: refers to non-common data of model, including data set of enterprise resources.

The advantages of using this method are that the experimental results and the noise level produced from the tires (that go into mass production) feature minimal differences and that reliable tested data are produced.
This indicates that a reduction in the size of the steering knuckle can effectively reduce noise.

The experimental data are statistically analyzed by using analysis of variance to find out the significant parameters.
Specific properties of natural fibre composite such as light weight, low cost, renewable in nature, high specific strength and modulus have widened their usage and allow a considerable reduction in the use of non-biodegradable polymers and non-renewable resources [3-4].
The experimental data is analyzed using response surface methodology to find the optimal setting of the process parameters for load and stress.

In glass/glass- ceramic the calculations based on the Anderson-Stuart model agree with the experimental observa- tions in the low frequency region but at higher frequencies there is departure from measured data.
The calculated values of lnσ for different values of lnω together with measured data are shown in Fig.1 at T = 297 K for glass indicates that the initial linear variation is well accounted by the AS model.
The departure from linear behavior of the experimental data in the 4 6 8 10 12 14 16 18 -20 -16 -12 -8 -4 lnσ ln (f X 2π) Fig.1.
(line: theoretical (AS Model); Points: Experimental data) high - frequency region is clearly observed.
This then would facilitate reduction of non-linear behavior as compared to the low temperature situation.

The data from the video sequence that represents the dynamic texture are loaded in a 3D matrix.
The application of the co-occurrence matrix is performed for each frame of the data parallelepiped covered in 3 directions.
Indexing corresponds to the organization of data according to an order defined by one or more attributes.
Increasing computer power and the importance of the video data stream has generated the recent outbreak of numerous studies on the dynamic textures.
This is a very complex data set [12].

A wide range of fillers has been introduced into rubber in recent years for the purpose of cost reduction or improvement of mechanical properties.
The cure data of SBR/OMMT composites t10/min t90/min CRI/min-1 SBR 3.14 11.06 12.63 SBR/OMMT-5% 1.14 4.9 26.60 SBR/OMMT-10% 1.34 5.86 22.12 SBR/OMMT-15% 1.66 7.98 15.82 SBR/OMMT-20% 2.04 9.42 13.55 The data of the cure characteristics, such as t10 and t90, of different amount of OMMT filled SBR systems were summarized in Table 1.
In addition, the increased data of CRI (CRI=100/(T90-T10)) demonstrated that OMMT had an promotion effect on vulcanization for SBR composites.

Samples from the centre of the billet at Z plane described elsewhere [20 ] were scanned in Quanta 200 scanning electron microscope of FEI and data were analyzed using TSL (Texture Scanning Electron Microscope Lab) 5.1 software. 3.
The nature of low angle boundaries associated with the subgrains and the band walls which are essentially dense dislocation walls can be better understood from the misorientation angle (MA) distribution parameter delivered by the EBSD data (Fig.2(a)).
This is supported by average misorientation data.
The degree of grain size reduction is highest at low equivalent strain.

Introduction The analysis of seismic data is important for understanding the earth’s subsurface and is an important aspect of oil and gas exploration.
Because of the growing volume and resolution of seismic data, image processing is becoming a component of this process.
It can be used to simplify the image data, which is easy to be realized by hardware.
Acknowledgements This work was financially supported by the Youth Research Fund of Disaster Prevention and Reduction (201012), References [1] Won-Ki Jeong, Ross Whitaker and Mark Dobin. in: Interactive 3D seismic fault detection on the Graphics Hardware. edited by Eurographics Association 2006

"Energy conservation and emission reduction, and sustainable development", which is not only that the tasks must be completed by energy-intensive industries, but IT industry must also face the same problem.
Through different levels of virtualization technologies, the industry improves energy efficiency and reduces energy consumption, which is bound to reduce the economic cost, because energy cost is a major influencing factor for the life cycle cost of data center.
In the calculation process, consider the differences of base value, computer performance data is in accordance with the hours of conversion unit, the use of FLOP/3600 transform magnitude, so that the actual data is more reasonable with the environmental characteristics of multiple parameters of numerical calculation.

At the same time, because the specimen size is smaller, the test temperature changed rapidly, the accuracy of test data obtained will be affected.
Processed test data collected according to the relevant calculation formula of indirect tensile test, obtain the corresponding index value, see Table 1.
Table 1 Low temperature performance index of basalt fiber asphalt concrete Fiber length （mm） Basalt fiber content （%） Failure strength（MPa） Vertical deformation （mm） Failure stiffness （MPa） Failure strain (με) 0 0 3.52 1.03 1941.82 3119.73 6 0.12 3.57 1.29 1572.47 3907.23 0.15 3.64 1.43 1446.34 4331.27 0.17 3.60 1.35 1515.21 4088.96 Figure 1 -10˚C, Failure strength variation Figure 2 -10˚C, Splitting stiffness modulus variation Figure 3 -10˚C, Indirect tensile failure strain variation From the data in Table 1, it can be seen that splitting failure strength（RT）changes little, compared with without fiber ,the asphalt concrete with fiber  maximum splitting failure strength（RT） only increased by 6.53%.From the trends in Figure 1, it can be seen that the asphalt concrete mixed fiber is greater than without fiber on splitting failure strength（RT）as a whole.
The details are as follows: 1.The maximum increased value of basalt fiber to asphalt concrete low temperature damage intensity is 3.41%. 2.The maximum reduction value of basalt fiber to asphalt concrete low temperature damage stiffness is 25.52%. 3.The maximum increased value of basalt fiber to asphalt concrete low temperature failure strainis is 38.83%. 4.For low temperature performance, the optimum amount of value about 6mm basalt fiber is 0.15%.