2010 12th International Conference on Computer Modelling and Simulation 2010
DOI: 10.1109/uksim.2010.113
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Exploring a New Markov Chain Model for Multiqueue Systems

Abstract: Copyright and moral rights to this thesis/research project are retained by the author and/or other copyright owners. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge. Any use of the thesis/research project for private study or research must be properly acknowledged with reference to the work's full bibliographic details.This thesis/research projec… Show more

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Cited by 3 publications
(3 citation statements)
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“…The policies for maximum waiting time standards which is followed in the hospital is being described in [9]. Logistic regression and artificial neural network were discussed in [10]. The logistic regression approach looks good for this work.…”
Section: Literature Surveymentioning
confidence: 99%
“…The policies for maximum waiting time standards which is followed in the hospital is being described in [9]. Logistic regression and artificial neural network were discussed in [10]. The logistic regression approach looks good for this work.…”
Section: Literature Surveymentioning
confidence: 99%
“…P(0), the overall probability of an idle system at an arbitrary switch point, can be estimated using a novel technique introduced in Mapp et. al (2010), called the Zero-server Markov chain for exhaustive service polling systems.…”
Section: Moments Of Number Of Units At the Switch Pointsmentioning
confidence: 99%
“…Adnan and Islam [13] have presented a technique for voice correction and interpolation using Markov chain detection. Mapp et al [14] have proposed to describe multiqueue systems in terms of a new Markov Chain called the Zero-Server Markov Chain (ZSMC). Dirk [15] has introduced the reader into mixing time estimations via coupling arguments and uses the mixing of pheromone models for analyzing the expected optimization time of ant colony optimization.…”
Section: Related Workmentioning
confidence: 99%