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The first one analyzes the execution time of a process running on a single processor without resource sharing, and the second one analyzes the effects of resource sharing on one or multiple processors.
In these and other cases, the time of a process can be represented by its 'proper time'.
As a consequence, the problem of obtaining the optimal stopping time of a process emerges since the filtering can easily over-smooth the useful image features (edges, etc).
These can be in the form of power dissipation, electromagnetic emissions, execution time of a process, emanated light, and among other physical attributes.
According to the proposed technique if the burst time of a process is smaller than the previous one, HARM should be utilized for calculating quantum otherwise the arithmetic mean is utilized.
The time of a process at a given period depends on the time of the process at the decision time and the time effects of all completed process-level projects regarding that process (Eq. 4).
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Assuming τ is the first jump time of a Poisson process with the intensity process λ(t).
Identification of coordinately regulated genes according to the level of their expression during the time course of a process allows for discovering functional relationships among genes involved in the process.
The limit theory for the specification test depends on the self intersection local time of a Gaussian process.
A novel parameter strategy for PSO was proven in this paper using the overshoot and the peak time of a transition process.
The author in [6] investigated the optimal encoding of the exponential inter-arrival time of a Poisson process.
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