The phrase "asynchronous transition" is correct and usable in written English.
It can be used in contexts related to technology, communication, or processes that occur independently of a synchronous timing mechanism.
Example: "The system allows for an asynchronous transition between different states, enabling more efficient data processing."
Alternatives: "non-simultaneous change" or "independent transition".
(c) Asynchronous transition protocol.
It is shown that, in contrast to hp-bisimilarity, checking hhp-bisimilarity for finite labelled asynchronous transition systems is undecidable, by a reduction from the halting problem of 2-counter machines.
If the next state observes the contrary for parameters A and B, the resulting trajectory synthesis will exhibit an asynchronous transition between A and B. This surely explains why complex HMM structures aiming at explicitly coping with audiovisual asynchronies do not outperform the basic ergodic structure, especially for audiovisual speech recognition [24].
Algorithms for synchronous and asynchronous transition models have been proposed and their corresponding computational properties have been analyzed.
BKMC: Boolean Kinetic Monte-Carlo; AT: Asynchronous transition; ODEs: Ordinary differential equations; MaBoSS: Markov Boolean Stochastic Simulator.
We choose to describe the time evolution of network states by a Markov process with continuous time, applied to the asynchronous transition graph.
We used the asynchronous state transition model for both algorithms in this experiment.
In Line 8, the backward reachable states from the remaining attractors are computed on the asynchronous state transition diagram.
For example, when EGF = 1 and TNFα = 1, the asynchronous state transition graph is substantially larger with about 116 k states, as opposed to the 19 states obtained with a synchronous update.
In summary, the major co-stages of infection largely correspond to time of infection; however, trajectory analysis highlights an asynchronous and linear transition associated with the induction of filamentation and metabolic adaptation in C. albicans which, correlates with a shift from a strong to a weak pro-inflammatory gene expression profile in the host.
Because we want a generalization of the asynchronous Boolean dynamics, transition rates ρ (S → S ′ ) are non-zero only if S and S ′ differ by only one node.
