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Based on these measurements, the model parameters is chosen as P0=−50.8, α=1.3, and σdB=6.1.
Furthermore, based on microscopic KFM and SPV measurements, the model of charge transfer from PPy to diamond under illumination was proposed.
Even though the RCM was only successfully validated against indoor measurements, the model structure is also well suited to represent outdoor radio channels, when adapting the parameters, respectively.
With new sets of measurements, the model parameters are refined and the operation condition is also updated until the parameters converge.
When tested against hourly measurements, the model exhibits a coefficient of variance (R2) equal to or better than 0.96, and root mean square difference (RMSD) in the range of 7.3 7.9% and mean bias difference (MBD) of −4.5% to 3.5%.
Given n measurements, the model was computed using n-1 training vectors.
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Beside the measurements, the modelling of the drying process was also investigated.
The predictions were less variable than the measurements; the models consistently overestimated Finf < 0.3 and underestimated Finf > 0.9.
If it was used as a measurement, the model would not be linear.
" There is literature about NOT using the measurements but the model output, that should be corrected.
In defining the measurement model, the measured variables were expressed as predictors for item responses.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com