The performance of the proposed A-FWNC is illustrated by applying a second-order nonlinear inverted pendulum system and compared with previously published methods.
However, the dynamic characteristics of the equation could be considerably improved, by applying a first-order exponential filter to the inlet gas composition.
The foregoing problem is considered in this paper in terms of a mean field approximation obtained by applying a first-order closure to an unclosed set of mean field equations presented in Part I.
The source computes the key used for generating the MAC in each time interval by applying a second public one-way function to each element of the hash chain.
Then the annual runoff moments are derived from the moments of the input variables of the annual rainfall runoff model (i.e. annual precipitation, potential evapotranspiration and water storage change) by applying a second-order approximation.
We extend this concept for the vectored CM-DM processing in the upstream transmissions by applying a first order approximation of inverse of the combined CM-DM channel as H ( c d ) - 1 = H diag ( c d ) ( I + C ( c d ) ) - 1 ≈ ( I - C ( c d ) ) H diag ( c d ) - 1, (38).
Subsequently, a multiple linear regression was carried out by applying a second-order model to describe the relationship between the independent and dependent variables, which established the adequacy of this model (R2 > 0.97) and, thus, the applicability of the combined statistical and mathematical approaches.
Therefore, this is achieved by applying a second processing step, the MMA_SHA_2 analysis step, after CI in the following way: Predictions are made from the output CI core, lithospheric, and primary and secondary ionospheric models derived during quiet times and subtracted from each 1 min Swarm satellite measurement and OHMs from all available ground observatories.
We refined fish data from fish echograms by applying a second Boolean mask to keep only the targets for which: Sv 120 Sv 38 < +2 dB.
Finally, preventive health or oral health education needs were determined by applying a fifth algorithm that ranked the subjects according to the two levels of the Clinical Oral Prevention Index COPII) (Table 4).
