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This work deals with the membership set estimation techniques based upon an unknown but bounded error. Only the ellipsoidal approach has been considered here. In this particular context, a realistic evaluation of the bound based upon an analysis of the kurtosis number of the error sequence has been proposed. A unified approach of the different algorithms has been given, which leads to a numerically stable implementation. Note that nearly all published algorithms do not possess this fundamental property. The convergence analysis of these estimation techniques requires the well-known persistent excitation property. A algorithmic evaluation of this persistency hypothesis of the input has been proposed and a way to built such an input in this particular context is exhibited. Lastly, the compromise between a suboptimal sequential algorithm and an optimal global but numerically unrealistic has been studied ; the different results are illustrated thanks to some simulated data but also with some real data from industrial applications.Ce travail concerne les techniques d'identification ensembliste dites à erreur inconnue mais bornée. On s'est ici exclusivement intêressé à l'approche ensembliste ellipsoïdale. Dans ce contexte précis, nos contributions portent sur une évaluation réaliste de la borne, basée sur l'analyse du kurtosis du signal d'erreur. On propose également une approche unifiée des algorithmes conduisant à leur formulation numériquement stable, à la différence de la quasi-totalité des solutions publiées. L'analyse de la convergence de ce type de techniques fait intervenir la notion habituelle d'excitation persistante pour laquelle on donne une solution algorithmique permettant de qualifier l'entrée, et comment construire des entrées " optimales ". Enfin on s'est intêressé au compromis que l'on pouvait établir entre algorithme séquentiel sous optimal et une approche globale optimale mais numériquement inaccessible. L'ensemble de ces points est illustré tant en simulation qu'avec des données réelles provenant du monde industriel

New concept to compute confidence of reported information level for logic diagnosis

International audienceThis paper proposes a model to compute con dence of reported information level (CRIL) in the domain of logic diagnosis. This level of con dence is provided by a diagnosis module allowing to quickly identify the origin of equipment failure. We studied the factors a ecting CRIL, such as measurement system reliability, production context, position of sensors in the acquisition chains, type of product, reference metrology, preventive maintenance and corrective maintenance based on historical data and reported information generated by production equipment. We have introduced a new 'CRIL' concept based on the Bayesian Network approach, Na ve Bayes model and Tree Augmented Na ve Bayes model. Our contribution includes an on-line con dence computation module for production equipment data, and an algorithm to compute CRIL. We suggest it be applied to the semiconductor manufacturing industry

Contributions à l'identification ensembliste ellipsoïdale

Ce travail concerne les techniques d'identification ensembliste dites à erreur inconnue mais bornée. On s'est ici exclusivement intêressé à l'approche ensembliste ellipsoïdale. Dans ce contexte précis, nos contributions portent sur une évaluation réaliste de la borne, basée sur l'analyse du kurtosis du signal d'erreur. On propose également une approche unifiée des algorithmes conduisant à leur formulation numériquement stable, à la différence de la quasi-totalité des solutions publiées. L'analyse de la convergence de ce type de techniques fait intervenir la notion habituelle d'excitation persistante pour laquelle on donne une solution algorithmique permettant de qualifier l'entrée, et comment construire des entrées " optimales ". Enfin on s'est intêressé au compromis que l'on pouvait établir entre algorithme séquentiel sous optimal et une approche globale optimale mais numériquement inaccessible. L'ensemble de ces points est illustré tant en simulation qu'avec des données réelles provenant du monde industriel.GRENOBLE1-BU Sciences (384212103) / SudocSudocFranceF

Multiple serous membrane effusion caused by primary pericardial mesothelioma

Primary pericardial mesothelioma is an extremely rare cancer with a short survival prognosis. Clinical symptoms are often atypical, and most patients are diagnosed after surgery or at autopsy. We report a case of a 35-year-old female patient with multiple serous membrane effusion for more than 1 year. The patient underwent pericardial, pleural, and peritoneal fluid drainage many times and underwent many laboratory tests to find the cause; however, there was no definitive diagnosis. She was admitted to the hospital because of shortness of breath, cough, and sputum for 5 days. She underwent extensive pericardiectomy to resolve the dyspnea and pericardial surgery to find the cause of the multiple serous membrane effusion. After surgery, her dyspnea was relieved, and the serous effusion gradually decreased

Prevalence and correlates of hyperglycemia in a rural population, Vietnam: implications from a cross–sectional study

<p>Abstract</p> <p>Background</p> <p>Despite the increasing prevalence of type 2 diabetes in urban areas, relatively little has been known about its actual prevalence and its associations in rural areas, Vietnam. The purpose of this study was to evaluate the prevalence of impaired fasting glucose (IFG), impaired glucose tolerance (IGT), diabetes and their risk factors in a rural province, Vietnam.</p> <p>Methods</p> <p>A cross–sectional study with a representative sample was designed to estimate the hyperglycemia prevalence, using 75–g oral glucose tolerance test. Potential risk factors for hyperglycemia were analyzed using multinomial logistic regression, taken into account influences of socio–economic status, anthropometric measures, and lifestyle–related factors.</p> <p>Results</p> <p>The age and sex–adjusted prevalence rates (95% CI) of isolated IFG, isolated IGT, combined IFG–IGT, and diabetes were 8.7 (7.0–10.5), 4.3 (3.2−5.4), 1.6 (0.9−2.3), and 3.7% (2.7–4.7%), respectively. There were still 73% of diabetic subjects without knowing the condition. Blood pressure, family history of diabetes, obesity–related measures (waist circumference, waist–hip ratio, body fat percentage, and abdominal obesity) were the independent risk factors for hyperglycemia (IFG, IGT, and diabetes).</p> <p>Conclusions</p> <p>The prevalence of hyperglycemia in rural areas has not been as sharply increased as that reported in urban cities, Vietnam. Blood pressure and obesity–related measures were the most significant predictors for hyperglycemia level and they can be taken into account in building prognosis models to early detection of diabetes in rural Vietnamese populations.</p