11 research outputs found

    An allocation scheme for estimating the reliability of a parallel-series system

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    We give a hybrid two stage design which can be useful to estimate the reliability of a parallel-series and/or by duality a series-parallel system, when the component reliabilities are unknown as well as the total numbers of units allowed to be tested in each subsystem. When a total sample size is fixed large, asymptotic optimality is proved systematically and validated via Monte Carlo simulation.Comment: 16 pages, 4 figure

    TUNWeeds: A Smart Identification Tool for Brassicaceae Weeds in Rapeseed (Brassica napus) Crop in Tunisia

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    Rapeseed is the second oilseed in the world. Its cultivation requires successful weed control. Weed identification is critical in weed management programs. Two surveys of common weeds in rapeseed fields allowed us to identify a wide specific diversity of weed flora and a great identification difficulty of certain specimens. To facilitate this task, we have developed a web application (TUNWeeds) for Tunisian farmers and students. At first, we limited our database to 44 Brassicaceae weeds. Subsequently, we plan to extend this application to other botanical families. TUNWeeds can help farmers in chemical weed control, manage herbicide resistance problems, and monitor weed flora

    Procédures d’échantillonnage efficaces : Estimation de la fiabilité des systèmes séries/parallèles

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    International audienceThis work consists to determine in a practical and straightforward manner some efficient sequential sampling schemes in order to estimate the product of Bernoulli parameters. The sampling schemes given by the literature are complex and costly. The results are useful for estimating the reliability of series/parallel systems where the allocation of the number of units to be tested from each component can be effective for minimizing the variance of the estimator.Ce travail consiste à déterminer, de façon pratique et facile à utiliser, des plans séquentiels d’échantillonnage efficaces pour estimer le produit de paramètres de Bernoulli. Les procédures d’échantillonnage fournies par la littérature sont complexes et coûteuses. Les résultats sont utiles pour estimer la fiabilité des systèmes en série/parallèle où le choix du nombre des unités à tester dans chaque composant peut être effectif pour minimiser la variance de l’estimateur
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