The solutions from the MSD methodology were validated by direct comparisons from finite element simulations that employed a Taylor-type polycrystal constitutive model at each integration point.
Twelve facilities for each integration model (FP or PNC) were purposefully selected to participate based on: client loads of more than 50 per month; facilities with a minimum of two health workers providing FP services; providing a range of SRH services; and not having currently integrated services.
Because there were 29 SNR values simulated, there are 29 J-SNR pairs for each channel model and integration period.
(3) Select the normalized threshold with the lowest MAE as the best threshold ξ best with respect to J for each channel model and integration period, as shown in Section "Optimal thresholds".
In the simulations, because of the random signal, the J values are not unique for one SNR, but in order to draw Figure 6, the average J value with respect to SNR were calculated for each channel model and integration period.
Generate a large number of channel realizations for each channel model, integration period, and SNR value in the range [4, 32] dB.
(1) Generate a large number of channel realizations for each channel model, integration period, and SNR value in the range [4, 32] dB. (2) Calculate the average MAE value with respect to normalized threshold ξ norm for each J value, channel model, and integration period as shown in Section "Average MAE with respect to the normalized threshold".
In this paper, we present a general OWL reasoning framework for modeling, integration, and analysis of the big biological network.
According to Kopp (1996), three general approaches exist to GIS model integration with hydrological modeling, namely GIS-based modeling, Data Bridge and embedded code.
In particular, modularity facilitates component reuse and model integration for models with different use cases, including the ability to exchange modules during or between simulations.
