Residence time distribution (RTD) measurements can be interpreted and simulated using compartment models which consist in interconnection of elementary modules, e.g. the plug flow reactor or the perfect mixing cell.
The gelatin layer was visible in the interconnections of the pores in the coated scaffold [Fig. 3c].
Recently, CGNNs with Markovian jumping parameters have been extensively studied due to the fact that systems with Markovian jumping parameters are useful in modeling abrupt phenomena such as random failures, operating in different points of a nonlinear plant, and changing in the interconnections of subsystems [13 18].
However, little research had been done on the effect of IC layout on the void nucleation time (i.e. the time where the vacancies in the metal gather and nucleate into a tiny void) in the interconnections of the circuits due to electromigration using 3D modeling.
The CAPS framework is based on the assumptions that individuals differ (1) in the chronic accessibility (activation) of affective and cognitive representations and (2) in the interconnections of these chronic accessibilities.
A lot of dynamical systems have variable structures subject to stochastic abrupt changes, which may result from abrupt phenomena such as stochastic failures and repairs of the components, changes in the interconnections of subsystems or sudden environment switching.
A lot of difference systems have variable structures subject to stochastic abrupt changes, which may result from abrupt phenomena such as stochastic failures and repairs of the components, changes in the interconnections of subsystems, sudden environment changes, etc.
Markovian jump systems (MJSs) involve both time-evolving and event-driven mechanisms, which can be employed to model abrupt phenomena such as random failures and repairs of the components, changes in the interconnections of subsystems, sudden environment changes, etc.
The systems have variable structures subject to stochastic abrupt changes, which may result from abrupt phenomena such as stochastic failures and repairs of the components, changes in the interconnections of subsystems, sudden environment changes, etc.
Over the past decades, the stochastic jumping neural network (SJNN) has been widely investigated due to random changes in the interconnections of dynamic network nodes, and many works have been devoted to the study of SJNN [6 8].
