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Plausibility checking.
Data management has been carried out in parallel with data collection, based on standardized and partly automated procedures for data processing and plausibility checking.
These are plausibility checking, consistency checking and behaviour checking (Fig. 3).
The plausibility checking model can be used for an expected misbehaviour and filtering false safety messages.
Plausibility model can produce a valid result in case majority vehicles are not honest nodes because plausibility checking does not rely on other neighbour information [56].
In plausibility checking data, from each node is verified through some predefined rules, for example, one location is not occupied by two nodes at the same time.
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Data quality must be assured by plausibility checks.
By contrast, an innovation pattern typically generates a manageable number of ideas, each of which is given a preliminary plausibility check as part of the ideation process itself.
An actual calibration surface is explained by an overlay of these components, which obviates a systematic variation of the interferences and allows to design a plausibility check.
The underlying concept for the autonomous system arranges sensors, control and actors in a redundant manner, thus yielding a high level of system reliability through plausibility checks.
Too closely meshed plausibility checks might lead not only to data quality improvements, but also to an undesirable trimming of the calculation on InEK plausibility checks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com