Sentence examples for irregularity detection from inspiring English sources

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Mednis et al. ([2011]) developed a system for road irregularity detection using data from accelerometers of mobile phones.

Given the nature of our proposed method, adaptable and based on statistical irregularity detection, it can be considered particularly suited for the primary inspection of concrete structures.

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Thus, a new method for the ionospheric irregularities detection was successfully implemented using the high-resolution magnetic field measurements onboard the CHAMP satellite (Stolle et al. 2006; Lühr et al. 2014).

Fig. 3 Examples of the concurrent LP and GPS data analysis during evening LT period for cases of the plasma irregularities detection (a, d), quiet-time equatorial ionization anomaly (b, e), storm-enhanced equatorial ionization anomaly (c, f).

Analysis of the data for the evening-time EIA manifestation in GPS ROTI results shows that threshold of 3 TECU/min together with a condition of the multi-peak detection is enough to isolate and exclude the impact of the quiet-time EIA on the plasma density irregularities detection in the TEC data.

Taking into account the obtained results of the extreme ROTI values for the EIA manifestation in quiet and disturbed conditions, for further analysis we apply a higher threshold of 5 TECU/min together with a condition of the multi-peak detection to exclude impact of the quasi-stationary EIA double-peak structure on the plasma density irregularities detection in the TEC data.

Because the low signal intensities of grade 1, grade 2 and grade 3 cartilage (48%, 43% and 30% of that of grade 0 cartilage, respectively) decreased earlier with a shorter time than that of grade 0 cartilage, detection of irregularity of grade 1, grade 2 and grade 3 cartilage using echo duration might be limited.

In order to support academic integrity principles, detection of irregularities of potential contract cheating issues is ideally required at the time the student is taking a class.

The International Geodesy Service IGSS) network provides GNSS observations with 30 s sampling and allows detection of irregularities with a scale size of about tens of kilometers.

These fields reach from the detection of irregularities in data (e.g. economic fraud) to optimizing the architecture of computers regarding number representation, storage, and round-off errors.

A new damage detection technique using irregularity profile of a structural mode shape is proposed in this paper.

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