Exact(5)
In [ 33], Curti et al apply the ideas presented in [ 34] to the π calculus models of biological systems where the causality information on the modeled system is retrieved by labeling the syntax tree of the process expressions.
The calculus models are validated experimentally by strain gauge measurements and by using the digital image correlation method.
In order to make this understanding operational and testable it can be recorded into formal process calculus models.
SPiM has long been the standard tool for simulating stochastic π calculus models.
There are also practical advantages to process calculus models in that they can be readily modified to explore different scenarios and interrogated using model-checking tools [ 3] to formally verify the model and explore its quantitative behaviour.
Similar(55)
Lastly, we compare the simulation results with the network calculus results based on network calculus model and simulation model.
In this article, we firstly construct a service-performance network calculus model which is triggered by time.
In this paper, using finite difference calculus, modeling has been done to calculate the number of shells required for both E and F shell cases.
In this paper, a simplified calculus model for the prediction of the compressive response of RC column footing with a square cross-section is presented.
The widespread applications of fractional calculus modeling techniques in several disciplines of applied and technical sciences have played a key role in the popularity of the subject.
We present a service-performance network calculus model, which is triggered by time, and obtain the upper deterministic boundary of the delay.
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