2016
DOI: 10.33889/ijmems.2016.1.1-001
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Stochastic Biometric System Modelling with Rework Strategy

Abstract: In this paper, the authors proposed the reliability mathematical modeling of a biometric system that computerizes the whole process of taking attendance and keeping its records in an academic institute. Manually taking attendance and sustaining it for a long time is very difficult as well as wastes a lot of time. For this cause, an efficient system has to be designed. This system takes attendance electronically with the help of a fingerprint scanner, and all the records are saved on a computer server. In order… Show more

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Cited by 9 publications
(7 citation statements)
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“…Reliability is concerned about how long a product will work without any irruption in it (Ram and Manglik, 2016). For reliability expression, the repair rate should be 0, i.e.…”
Section: Numerical Illustrationsmentioning
confidence: 99%
“…Reliability is concerned about how long a product will work without any irruption in it (Ram and Manglik, 2016). For reliability expression, the repair rate should be 0, i.e.…”
Section: Numerical Illustrationsmentioning
confidence: 99%
“…For each case should be described models aimed to analysis of behavior the distribution of ) (  i H I та р(θ), and so to the determination of the realization of i* of set I. As an optimal decision function in this approach may be used stochastic (Kopachevsky et al, 2016;Ram and Manglik, 2016), Bayesian (Kostyuchenko et al, 2012), neural network (Joshi, 2016) or fuzzy operators, (Kostyuchenko et al, 2016) depending on the task, data availability and properties of their distributions.…”
Section:  I H Imentioning
confidence: 99%
“…They had optimized the reliability analysis with the application of an artificial neural network approach [34]. Ram and Manglik [35,36] analyzed the reliability model of an industrial system having three subsystems, using the Markov and supplementary variable technique. Ram and Singh [37] studied the reliability characteristics of a complex system using the Markov process and Gumbel-Houggard family of copula.…”
Section: Introductionmentioning
confidence: 99%