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On the other hand, if the request is about fetch, then the supervision and management daemon access Sarp Table and get the information of meta-data (Table1), system obtain data from corresponding GS through the meta-data.
Through the meta-data shown in Table 2, a load data F can be located by a vector [I, s, L], where I behalf of the index number of GS, s behalf of the index number of start sector block of data in GS, L behalf of block size.
In order to quantify the load on GS, HGS will note the processing time named t and the amount of data named d for each request.
Suppose at time T, one GS have processed N requests, consuming time of ,and the amount of data is , then the load on the GS can be expressed as ,Where i∈(1,...
Overload-Reduction rate represented by .

The data did not suggest any local texture but was dominated by spottiness, particularly in the region not disturbed by the friction stir-weld tool.
The DIC strain data were averaged longitudinally over a distance of 50 mm in the area around the HEDXD line scans.
This was confirmed when the full-field DIC data was viewed and angled fronts of localised plasticity could be seen traversing the specimen.
The stresses are from HEDXD data and deformation strains from the DIC data.
Figure 6 shows the plastic strain distribution across the specimen combining the data from HEDXD, Fig. 3 (the elastic strain reduction, that is residual stress reduction/E, must first be calculated from this data, shown by the HEDXD arrow), and DIC, Fig. 4.

A Way to Determine the Economic Operation Mode of Substation Transformer Deli Zhao1, Huilin Zhang1, Fengzhen Liu1 and Xin Zhao2,a 1 State Grid Liaoning Chaoyang Power Supply Company, Chaoyang, Liaoning,122000, China 2 State Grid Beijing Tongzhou Power Supply Company,Beijing,101100,China atsustar@126.com Keywords: Transformer, Loss reduction, Economic operation Abstract.
Comparison between the two , the use of two main transformers in parallel operation mode rather than just put in the 2nd main transformer is significant to reduce the variable loss (1.33 ~ 11.04) kW, the annual reduction in electricity consumption variable loss of about (1.165 ~ 9.67) × 104kWh.
Summary The overal calculation is based on the actual data and its effectiveness has been proved in the system, so it is very meaningful to readjust the method to make preparation for the economic operation.The further research will be done on the physical solution to the real system and the balanced arrangement of different substation devices ans apparatuses.

Data processing examples show that the model's practicality and reliability.
The main characteristic of grey system theory is the research about small data and uncertainty, and the basic tool is grey generation.
Behavioral data of the system may be chaotic and complex, but there is always some kind of law among them.
Grey generation is to find the law from these behavioral data, and establish grey model according to the law, further predict the system by solving the model [1].
Example There are the fatigue experimental data (Mpa) in [9]: = [ 560,540,l523,500,475] Corresponds temperature (oC): t = [100, 150,200,250,300] The number corresponding to the temperature: k = [1,2,3,4,5] The model was obtained by using this method proposed in this paper: The fitting value of the data: =[560.6246,540.2185,520.5551,501.6074,,475] The relative error: e(%)=[-0.11154,-0.040461,0.46748,-0.32149,0] The mean of the relative error is 0.18819%.

The Nabarro-Herring and Coble mechanisms that would predict creep rate reduction are re-considered to include the effect of grain-growth induced vacancy generation.
As was shown recently [1-3], the reduction of the total excess volume of grain boundaries associated with grain growth leads to its retardation.
Vacancy release into the bulk is regarded as a process that by necessity accompanies grain growth when the system has to 'digest' in some way the attendant reduction of the excess free volume contained within the grain boundaries.
While grain growth as such is seen to reduce the rate of diffusion creep, the attendant vacancy generation effect acts against this reduction.
As creep data for nanocrystalline materials are very scarce due to difficulties in 6 Title of Publication (to be inserted by the publisher) manufacturing bulk specimens for creep testing, the findings of the work reported here are seen as guidance for future experiments.

The research presents the results of data analysis on degassing of wheel grades of steels in a tank degasser with a capacity of 120 tons, operated at the JSC “Ural Steel”.
The Purpose and Object of the Study The study of the laws of degassing of wheel steel grades was carried out on the basis of the production data on the results of vacuum metal treatment at the installation vacuum tank degasser (VTD) SIEMENS-VAI with a capacity of 120 tons, operated since 2012 in an electric steel shop of the JSC “Ural Steel”.
The Basic Data To study the patterns of steel degassing at the VTD, an analysis of the production data on the smelting of wheel steel grades for November-December 2019 was carried out.
The averaged data on process parameters and the results of steel degassing of the studied steels are given in Table 1.
Therefore, for further processing from the initial production data, the dropouts of melting was screened with a freeboard value of more than 600 mm, and the influence of the slag layer thickness, visually estimated, was not taken into account.

Data were collected in a two theta range between 20 and 70° in steps of 0.02 º/s.
Table 2 Acidity data of the catalysts from FTIR spectra of adsorbed pyridine Desorb.
It was ascribed to the reduction of sulfate ions [9].
Table 3 showed the data of the fresh catalysts obtained by TG analysis.
These data indicated that sulfate loss after 72 hours on stream was 19.83% for PSZA, and 5.79 % for PSZAY.

The reduction of the crystallization temperature is one of the procedures in this direction.
Calcination must be carefully controlled since the adopted conditions (temperature and time) might influence powders physical characteristics as well as nickel oxide reduction during reforming reaction [3].
Crystallization of gamma alumina and NiAl10O16 powders started at 150ºC, as indicated by the comparison of diffraction data with ICDD cards 10-0425 and 37-1292, respectively.
These diffraction data are in agreement with literature [10,11].
Increase in calcination temperature led to a reduction in surface area, which is related to particle growth.

After received the low resolution representation of spatial data, the users can browse and analysis the data.
When network is busy, the progressive transmission of spatial data can significantly reduce the time that users wait for data.
Progressive transmission of vector data over the internet 2.
Fig.5 is data view of the client.
（a）Rough data view (b) Intermediate data view (c) Final data view Figure.5.

They significantly contribute to improvement of forgings quality and production costs reduction.
The crucial points of the numerical simulations are material input data and implemented material models.
The paper is dealing with overview of methods for the input data measurement.
Introducion The FEM simulation results are as good as the input data and thus care must be paid to use appropriate material data and models describing considered material behavior under service loading conditions.The influence of strain, strain rate, stresses and temperatures have to be addressed.
Example of data measured for fitting of Jonson/Cook model can be seen in Fig. 1.