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In this paper, a technique is presented to select a subset of measurement points and corresponding mode to be used in model updating for damage identification.
In this paper, we present a heuristic method to select a near-optimal subset of measurement locations starting from a particular set of measurements, by minimizing the sensitivity of the parameter estimates with respect to observed response.
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This is possible since we avoid an over-determined setup by initializing only from the minimum necessary subset of measurements.
Hao et al. in [26] proposed an efficient greedy search algorithm to quickly find subset of measurements to be protected to defend against FDIAs.
We first assume that a subset of measurements (at least one) have positive errors, thus, we are able to bound a target node position to a set derived from the subset of measurements, i.e., the set of distance measurements having positive errors among all distance measurements.
Considering the results for both cases, we can conclude that SS-MC is an excellent choice for the challenging problem, achieving a very low prediction error even when only a small subset of measurements is available.
Here, a subset of measurements is selected that is sufficient to solve the given task.
Regressions on a subset of measurements for which detailed site characteristics were gathered showed higher concentrations of both pollutants on roads reported to have heavy bus traffic.
Admission glucose, maximum glucose and mean morning glucose are all based on either a single measurement or a subset of measurements, and therefore they are not indicative of overall hyperglycaemia.
In order to keep the computational and storage demand low, our goal is to find a small subset of measurements ensuring that the attended object is the searched one.
The noise threshold for CSCG (see ε in Fig. 1) was set to zero to be consistent with the experimental reconstruction, and measurements were removed to leave the same subset of measurements that was used in the experimental reconstruction (see section 2.2).
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CEO of Professional Science Editing for Scientists @ prosciediting.com