In the IEEE RTS-79 test system, the load model gives hourly loads for one year on a per unit basis, expressed in chronological fashion so that daily, weekly and seasonal patterns can be modeled.
Specifically, the FA and FAMD attack patterns can be modeled as follows: 1. FA attack: At the L th sensing slot, if the received energy x E i of FA attacker SU i is higher than the attack threshold δ 1, it will not initiate an attack and hold x E i. Otherwise, it will choose whether to attack with the attack probability p a 1.
Baseline patterns can be modeled in terms of temporal characteristics, spatial characteristics, or both.
For our purposes, only a statistical sample is required, as behavior patterns of others can be modeled around these samplings of baseline behaviors.
This choice is inspired by several studies that have demonstrated that daily arrival patterns in various hospital departments can be modeled as a Poisson process [ 11- 13].
The deposition pattern of excimer laser PLD films can be modeled with a bimodal cosn distribution.
Many real-world pattern recognition problems can be modeled using multiple-instance learning (MIL), where instances are grouped into bags, and each bag is assigned a label.
the pattern (mathbf {q}^{(ell)}_{k}) can be modeled as a sequence of ℓ independent and identically distributed (i.i.d).i.d
Probability of an excitation pattern remaining above a loudness threshold can be modeled by [24] p [ k, n ] = 1 - 1 2 e [ k, n ] s [ k, n ] b, (20).
all the random variables, and rely on the following assumption: the pattern (mathbf {q}^{(ell)}_{k}) can be modeled as a sequence of ℓ independent and identically distributed (i.i.d).i.d
