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This paper presents a generic hybrid online monitoring approach allowing the detection of inconsistencies in the navigation of autonomous mobile robots. The originalities of this work are (i) the association of classic state estimation based on particle filter to a special class of Petri net in order to deliver an estimation of the next robot state (position) as well as the environment state (graph...
In this paper we propose a recursive and nested hybrid monitoring and diagnosis architecture for systems with Recursive Nested Behaviour-based Control structure. Such systems consist of behavioural levels, which use several models on different levels of abstractions. In this architecture scheme, the monitors of each subsystem use recursively the output of the monitors of the next lower level in order...
Population attributable risk estimates offer a method of combining information on population exposure and disease risk factors into a single measure. Univariate and multivariable methods exist for calculating point estimates and variances under the assumption of equal sampling probabilities. National Animal Health Monitoring System national studies typically use a complex survey design (where selection...
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