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Online since: September 2013
Authors: Xiao Ling Zhang, Hai Xia Li, Hai Long Yu
How to play the advantage of gradient data, improve the detection effect, is a subject for gradient data processing and interpretation need studying.
Magnetic data are often acquired on an undulating surface.
Most existing techniques for data enhancement and interpretation require data on a horizontal plane, the reduction of observed magnetic data values on an arbitrary surface to a level plane is necessary before quantitative analysis.
Analytic signal and Euler deconvolution method are also require data on a horizontal plane.
Reid et al. (1990) developed the 3D Euler deconvolution, operating on grided magnetic data[5].
Magnetic data are often acquired on an undulating surface.
Most existing techniques for data enhancement and interpretation require data on a horizontal plane, the reduction of observed magnetic data values on an arbitrary surface to a level plane is necessary before quantitative analysis.
Analytic signal and Euler deconvolution method are also require data on a horizontal plane.
Reid et al. (1990) developed the 3D Euler deconvolution, operating on grided magnetic data[5].
Online since: November 2010
Authors: Ji Hong Yan, Ding Guo Hua, Xing Wang
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.
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.
Online since: February 2016
Authors: Nina Ivanova, Alla Pustovalova
The XRD data show the changes of the structure and phase composition of titanium dioxide thin films due to the nitrogen doping.
The reduction of crystallites size takes place at the increase of the nitrogen concentration.
For the phase analysis of the thin films the PDF-4 database of International Center for Diffraction Data (ICDD) was used.
The data calculated from XRD measurement for nitrogen-doped TiO2 films are shown in Table 2.
The crystallites size reduction with the increasing of the nitrogen content agreed with our previous calculations with cross-sectional method from SEM data [17].
The reduction of crystallites size takes place at the increase of the nitrogen concentration.
For the phase analysis of the thin films the PDF-4 database of International Center for Diffraction Data (ICDD) was used.
The data calculated from XRD measurement for nitrogen-doped TiO2 films are shown in Table 2.
The crystallites size reduction with the increasing of the nitrogen content agreed with our previous calculations with cross-sectional method from SEM data [17].
Online since: July 2022
Authors: Benoit Revil-Baudard, Oana Cazacu, Hernan Godoy
Generally, the experimental data for isotropic materials are interpreted using the von Mises yield criterion [2].
Generally, the experimental data reduction and F.E. analysis of bulging of isotropic materials is done assuming that the plastic behavior can be modeled with the von Mises yield criterion; for the classical analytical solution for the stresses and strains at the pole of a hemispherical bulge, see Young et al [5].
For example for the aluminum alloy AA 6016-T4,and while the elastic properties are: E = 69 GPa and (see benchmark data and information on this material reported in [7]).
For this reason, it is crucial to accurately predict the reduction in thickness.
Conclusions It is generally assumed that for isotropic materials, the effect of the third invariant on yielding does not affect the response during forming, so the von Mises yield criterion is used for data reduction and analysis of simple forming tests such as bulging under pressure.
Generally, the experimental data reduction and F.E. analysis of bulging of isotropic materials is done assuming that the plastic behavior can be modeled with the von Mises yield criterion; for the classical analytical solution for the stresses and strains at the pole of a hemispherical bulge, see Young et al [5].
For example for the aluminum alloy AA 6016-T4,and while the elastic properties are: E = 69 GPa and (see benchmark data and information on this material reported in [7]).
For this reason, it is crucial to accurately predict the reduction in thickness.
Conclusions It is generally assumed that for isotropic materials, the effect of the third invariant on yielding does not affect the response during forming, so the von Mises yield criterion is used for data reduction and analysis of simple forming tests such as bulging under pressure.
Online since: January 2009
Authors: Hai Bo Yang, Fen Wang, Jian Feng Zhu, Xiu Feng Ren
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.
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.
Online since: May 2012
Authors: Yu Chen, Long Cang Shu
(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.
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.
Online since: December 2014
Authors: Milan Strbo, Augustin Gese, Barbora Zahradnikova, Pavol Tanuska
On - line monitoring and state reduction
The focus of the overall concept is the on-line state space reduction allowing dynamical system monitoring.
Fig. 3 The state space reduction on the example of a tank In the second step of the concept, on-line state space reduction was carried out.
In the third and last step, the reduction was evaluated. 3.
It represents the loading and processing analyser data.
Within the on-line state space reduction, qualitative model components are reduced based on dynamic models and on data obtained from sensors and actuators.
Fig. 3 The state space reduction on the example of a tank In the second step of the concept, on-line state space reduction was carried out.
In the third and last step, the reduction was evaluated. 3.
It represents the loading and processing analyser data.
Within the on-line state space reduction, qualitative model components are reduced based on dynamic models and on data obtained from sensors and actuators.
Online since: June 2013
Authors: Chin Kian Liew, T.J. Shelley
One of the major advantages of using wavelet analysis, as previously discussed, is the capability of the analysis to retain the time domain data while also providing effective reductions in noise.
It should be noted that the lines plotted are generated through discrete data points and not a continuous set of data points as it is more difficult to identify differences in the trends between the baseline and damage response signals with single data points.
Even though Fig. 11 provides useful comparative data it is not the focus of this study.
With more data, the trend of the Damage Index with impact energies can be further analysed
[7] Hexcel, "HexPly M18/1 180 degree C Curing Epoxy Matrix - Product Data," in Prepreg Data Sheets, Hexcel, Ed., ed.
It should be noted that the lines plotted are generated through discrete data points and not a continuous set of data points as it is more difficult to identify differences in the trends between the baseline and damage response signals with single data points.
Even though Fig. 11 provides useful comparative data it is not the focus of this study.
With more data, the trend of the Damage Index with impact energies can be further analysed
[7] Hexcel, "HexPly M18/1 180 degree C Curing Epoxy Matrix - Product Data," in Prepreg Data Sheets, Hexcel, Ed., ed.
Online since: September 2017
Authors: N.Ya. Tsimbelman, T.I. Chernova, T.E. Shalaya
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.
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.
Online since: June 2021
Authors: Sroisiri Thaweboon, Boonyanit Thaweboon
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.
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.