This is because the propagation of voltage fluctuation created by a fault is hard to predict due to its non-linearity and dependency on the power system operating conditions.
It is not surprising that the periods of absence of the magnetic connection and weak fluctuations disagree because the propagation of the waves was not exactly parallel to the magnetic field.
Generally speaking, to obtain a high power transition in a waveguide, the formation of a plasma should be avoided, not only because the propagation of energy is hindered by the plasma, but also by the large absorption by collisional damping, especially in a waveguide filled with high-pressure gases (plasmas).
This is because the propagation of the electric field suffers severe geometrical attenuation (Kikuchi and Araki, 1979) and no or small PI is observed at mid and low latitudes (FR, TU, HO). Figure 11 shows a schematic diagram of the three-layered Earth-ionosphere waveguide terminated by the fully ionized magnetosphere (Kikuchi 2014).
Because the propagation of slow slip induces stress perturbation on and around plate interfaces, we can expect the occurrence of earthquakes that are triggered by slow slip in the current sequence, as has been observed along the currently targeted subduction zone (e.g., Miyazaki et al., 2004; Uchida et al., 2004).
This is possible because the propagation of referrals through a social network superficially resembles a first-order Markov chain that visits discrete states corresponding to various attributes of successive respondents, and converges to a stationary distribution independent of starting conditions.
Cholesky factorization is employed in Riccati recursion to improve numerical stability because of the propagation of round-off errors in conventional KF equations.
Because of the propagation of the hybrid polaritons before scattering, the scattering event is spatially and temporally separated from the incoupling.
Node-targeted attacks need more attention that in a normal WSN because of the propagation of information is more important for the correct working of CWSN.
Because of the propagation of chaos result, the X ¯ t α are statistically independent, but their probability functions are clearly functionally dependent.
From the simple fact that most of what we see on our social media is dictated by algorithms over which we have no control, to the Cambridge Analytica scandal, to increased polarization because of the propagation of fake news on social media, one can quickly see how Congress's words in 1996 read today as a catalogue of inaccurate predictions.
