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The estimation is conducted by fitting the data to two-parameter Weibull distribution.
For each training sample, the input vector consists of performance values at i� sequential data collecting times and the output is the performance value at the next data collecting time.
Online condition monitoring data Data preprocessing Feature extraction Performance evaluation by p.e.n.
Data from the 9th specimen is used for simulation.
As the facility is online monitored, the condition monitoring data is preprocessed.

(2) Gathering of the indicator data.
Therefore the data extraction form of vulnerability indicators in the light of density is convenient for regionalization and can be counted by the Yearbook in 2008.
For the data of subsidence rate, it can’t be counted in terms of administrative division, and in this paper a worst-case approach is adopted with assigning 3, 2 and1 to the regions, where the subsidence rate are 10~30mm/a, 5~10mm/a, and less than 5mm/a respectively, and the higher assigned value is more vulnerable
Mulas: A ground subsidence study based on InSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain).
Garfias: Simulating pumping-induced regional land subsidence with the use of InSAR and field data in the Toluca Valley, Mexico.

In order to obtain bulk nanoceramics, data of the form in Fig. 2 suggest that it is necessary to enhance the kinetics of densification and retard the kinetics of grain growth.
Unfortunately, there is not much quantitative data available for triple point diffusion.
Figure 4b shows experimental data from careful experiments on triple point drag in tricrystals; the data show that triple junction mobility has a higher activation energy than grain boundary mobility [10].
Recently, the following diffusion data have been reported for cation diffusion in fine grained 3YTZ [16]
Although diffusion creep mechanisms lead to a stress exponent of 1, data on 3YTZ with grain sizes of ~0.3 to 0.5 µm typically show a stress dependence of ~2 [17,18].

Map Management Subsystem.The data of Langfang updated frequently, such as mobility, transformation of basic design, equipment updates and other data needed to update.
The map of Langfang EDPS Data Conversion Subsystem.In the spatial databases, most data came from document data (including WORD, EXCEL and text data), and the size of file had hundreds of MB, millions of data.
It could make all the document data that could be automatically converted, added data validation function and ensured data accuracy.
We used cluster analysis method to analysis the text data.
The system could provide technical support for earthquake prevention and disaster reduction.

The percentage of biofilm reduction was 32-39%.
For S. mutans, the suppressive effect was noticed only at >1% vanillin with 18-25% biofilm reduction.
Figure 1 presents the percentages of bacterial biofilm reduction.
Lactobacilli was more sensitive to vanillin than S. mutans with >30% biofilm reduction.
Materials Vol. 853 (2020), p. 51 [20] The Toxicology and Environmental Health Information: Toxicology Data Network.

The Ce-V/TiO2 catalysts with the selective catalytic reduction (SCR) were prepared by method of Sol-gel and insuccation.
Especially, V2O5 on TiO2 is a very active catalyst in the selective catalytic reduction (SCR) of NH3.
In this work, The Ce-V/TiO2 catalysts with the selective catalytic reduction (SCR) were prepared by sol-gel and insuccation.
The activity data were obtained when the catalytic reaction substantially reached a steady-state condition for half an hour at each temperature.
Consequently, the NOx conversion was reduction. 3.

Palladium (Pd) nanoparticles were incorporated into free-standing polymer films, where isotactic polypropylene (iPP) was used, by a one-step dry process involving simultaneous vaporization, absorption and reduction schemes of palladium(II) bis(acetylacetonate), Pd(acac)2 at 180o C, used as a precursor. iPP film was exposed to the sublimed Pd(acac)2 vapor in a glass vessel with nitrogen atmosphere heated at 180 o C.
In order to measure the thermal degradation rate, TGA data measured by the heating rates of 5, 10, 15 and 20 oC /min at the nitrogen atmosphere of 200 ml/min.
The TGA data was introduced to the Ozawa equation and the degradation activation energy was calculated according to the degradation ratio.
There have been many well known methods for the loading of metal nanoparticles into a polymer and they can mainly be classified into five: (1) a metallic precursor solution and a polymer solution are mixed in a reactor, and then the metallic precursor is reduced to the metallic nanoparticles during stirring, heating and evaporating the solvent [1-3]; (2) a metallic precursor dissolved in a monomer is reduced to the metallic nanoparticles during the polymerization process [4,5]; (3) a colloidal metal nanoparticles is dispersed in either a monomer or a polymer solution [6,7]; (4) a solvent containing a metal precursor impregnates into a polymer matrix, and then metal nanoparticles are generated by treating with reduction agents or thermolysis [8,9]; and (5) a sublimed metallic precursor penetrates into the polymer film and is reduced to self-assembled metallic nanoparticles [10,11].
To get the thermal degradation activation energy, these temperatures were converted to T -1 and a straight line was created by the relationship between log β and T -1 data for Ozawa equation, as displayed in Fig.3.

Transition layer material properties are connected with properties of soil and introduced into the same data sets.
The layers abutting on the cluster under consideration or those inside it get the same data set.
Data set of the interface-layer has its own strength reduction coefficient Rinter (Brinkgreve [6]).
As a result of comparison of experimental data and analysis of the structure according to the proposed model the range of approximate values of strength reduction coefficient has been proposed.
Stress values calculated on the proposed model have been compared with experimental data.

It was then distributed to the 12 projects to collect data and project managers were interviewed.
Project coordination characteristics were analyzed and patterns were identified based on the scores calculated from the data.
The U&E scores were calculated from the collected data for the projects in Table 2.
This means that the projects need data acquisition and analysis more than problem definition and interpretation.
The formula is as below: Rs = 1 - The project equivocality and performance data are shown and ranked in Table 3.

The majority of this variation is caused a reduction in the Dit influencing the structures electrical characteristics, due to a shift in the semiconductors bulk potential, which is due to the lower VTH of SiC-based MOSFETs at high temperatures.
The data shows a reduction in VFB with increasing temperature, which is similar to previous reports of MOSFET threshold voltage shift, due to a reduction in Dit close to the conduction band edge [10].
The data shows that the hysteresis has a strong dependence on both temperature and choice of high-κ dielectric material.
Therefore, curves have been fitted to the temperature dependent data in Fig. 6 by modifying the C1 and φA parameters [6].
It is proposed the majority of the variation in VFB is caused by a reduction in the Dit that is influencing the structures electrical characteristics, due to a shift in the semiconductors bulk potential.