A variety of control approaches are reviewed and compared for mitigating the effects of network-induced delays, depending on several design requirements, such as model dependence and design difficulty.
The number of nucleation sites and nucleation time delay depend on liquid properties and heating power.
The processing delay and transmission delay depend on the processing capability of the chip-set, and the propagation delay is related to the physics of the copper-line.
We show that the average sum rate performance and the average worst-case delay depend strongly on the user distribution within the cell.
Not only could responses other than SSRs be dealt with, it could also be realized that certain key parameters of the transient response, such as amplitude and delay, depend on stimulus repetition rate.
The throughput and the average random backoff delay depend on the number of backoff stages and the probability that a packet is successfully transmitted or discarded after the maximum m-th retransmission.
The impact and relative importance of a test's sensitivity, specificity and test delay depend on the screening strategy used and the MRSA prevalence in the catchment population.
The impact of the small variations of the delay depend on the granularity of the model.
The occurrence and magnitude of a stable phase delay depend on dosing amount, dosing timing, and day lengths.
