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The simulation data was verified by full-scale experiments using optical and scanning microscopy and mechanical and X-ray methods to determine residual stresses.
Currently existing results in this area [6 - 10] do not provide a definite solution to this problem because these data are specific and cannot be generalized.
The dependence of physical properties (thermal conductivity λ (T), thermal capacity c (T) and specific density ρ (T)) for steel U8 was taken from the data of the papers [11 - 13].
In the description of the yield stress sYS(Т), Young's modulus E (T), Poisson's ratio v (T), the hardening modulus H (T) were taken from the data presented in the papers [13 - 15].
Schulze, Experimental Determination of Process Parameters and Material Data for Numerical Modeling of Induction Hardening, Journal of Materials Engineering and Performance. 22 (2013) 1861-1870

Injection of PH3 gas during the synthesis resulted in a change from crystalline to amorphous phase, a reduction of particle size as well as process yield.
Introduction Si NPsare a principal candidate applicable to fields such as photovoltaics [1, 2], data storage [3], and optoelectronics [4] due to its eco-friendly characteristicsand abundance in the Earth.
From all of the above results, the introduction of PH3 led to a lower plasma density, which resulted in continuous size reduction of synthesized Si NPs.

The geothermal water temperature is 50℃ and the water can be raised to the surface for comprehensive utilization, in order to reduce the high pressure geothermal water hazards and avoid the waste of geothermal water, which is great significant for safety production in coal mines , energy saving and emission reduction.
According to borehole data ,when the depth of Cambrian limestone is less than 420 m ,there are many different sizes and shapes of dense karst caves, and the biggest cave is 8m.
Dewatering depressurization holes are constructed in order to raise the collected geothermal water to the surface for comprehensive utilization that not only reduce the high pressure geothermal water hazards but also avoid the waste of geothermal water, which is great meaningful for production safety in coal mines, energy saving and emission reduction.

The use of biomass for energy generation has aroused great attention and interest because of the global climate changes, environmental pollution and reduction of availability of fossil energy.
Global climate change, environmental pollution and reduction of the availability of fossil energy resources make renewable energy a topic of growing importance.
A statistic analysis of the experimental data from pyrolysis of CNS was made by using the technique of the design of experiments (DOE).

It needs to collect a large number of fault samples and reliability data to reveal the fault occurrence rule and describe it with mathematical method.
Lim: Fuzzy FMEA with a guided rules reduction system for prioritization of failures.

The failure mechanisms are expatiated by the numerical data and failure picture to obtain more knowledge about the mechanics behavior of composite p joints.
Introduction The integrated composite structures are gradually used in airspace structures due to their advantages of reduction in fastener and part counts, which lead to a dramatic decrease of assemble cost and primary structural weight [1].

In the end, based on the power purchase data of a provincial grid in 2013, this paper studies the optimal power purchase order to prove the feasibility of the optimization model.
Owing to the incomplete taxes policy of pollution energy-saving and emission-reduction, power grids couldn’t account the external cost accurately.

For this data, the design methodology for coal-fired units with drum boilers, which allow to define the work on stored energy boiler auxiliary load.
The algorithm provides for the reduction of discharge boiler load within its adjustment range by discrete effects on shutdown of the boiler dust feeders and the inclusion of fuel oil injectors pick-up torch.
In emergency, and subsequent reduction of the load unit at the different stages of the work, there is a different composition mechanisms of heart failure.

In the medical application field the data of a specific part of human body can be manipulated as tridimensional data and used to construct a biomodel in one of the many, rapid prototyping system, e.g. stereolithography, selective laser sintering and fused deposition modeling.
This data set can be obtained from any medical imaging modality.
This step is accomplished by the use of InVesalius Software developed at CenPRA to import data from medical scanners in DICOM [2] - Digital Imaging Communication - format that is an International standard for the interoperability among medical equipment and export 2D and 3D data in many formats.
One of these formats exported is the STL a "de facto" standard to export data to rapid prototyping systems.
The use of these two technologies can provide a great advance in the management of craniomaxillofacial deformities and has a radical impact on the reduction of the time spent in surgeries, in the cost of a perioperative procedure and in the final function and aesthetic result.

Often low-dimensional input space data is mapped into a high dimensional attributes space by nonlinear mapping function to improve recognition results.
Experiment 1: Fig. 3 shows the relationship between recognition rate and the dimension of speech parameters,the 32 dimensional feature parameters for voice data is extracted, the speech features vector q is reduced from 32 to 12 dimensions, and then they is trained with the SVM, and reconditioned.
It is found that as dimension reduction, the recognition rate is decreased, but the dimension between 32 d reduced to 16 d, the recognition rate decreases less，probably around 4%， but if we continue to reduce the dimension number ,the recognition rate is obviously reduced.
Described as follows:32-dimensional feature parameters of the 630 voice data, Voice data from 10 individuals, is completed the training model and identification operations using the cloud server, the other group data is trained and reconditioned in the ordinary client terminal.
Data Min-ing and Knowledge Discovery, 1998, 2(2): 121 -167