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As shown in Table 5, if we limit the number of particles to N = 250, for which near real-time operation is attained (approximately 10 fps), SIS-based tracking delivers 31 tracking failures in the test sequences described above, whereas with the same computational resources the proposed method outputs only 9 failures.
To correct for this, the method outputs only one cluster – the one with the lowest p-value – when a series of nested clusters is detected.
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Unfortunately, these methods output only a single optimal functional decomposition of the PPI network.
Two numerical examples show that a small number of measured modes can produce PFMs with sufficient accuracy to correctly locate the damages by the DLV method from output-only data.
Some well-known techniques such as QR factorization, least squares and singular value decomposition (SVD) have been utilized in SSI and all are regarded as robust and accurate system identification methods for output-only modal analysis.
The experiments show that, compared to the state-of-the-art methods for conditional functional dependencies-based and FD-based data cleansing, the proposed algorithm scales better with respect to the data size, is the only method that outputs complete repairs, and is more accurate especially when the error distribution is skewed.
The natural modes of vibration, frequencies and damping were determined using (i) a conventional input output modal identification technique, based on the Rational Fraction Polynomial method, and (ii) a simple output-only method directly based on the Fast Fourier Transform (FFT) of the response (mode frequencies only).
Both methods proved to be applicable as output-only methods in situ and in real time.
Contrary to state-of-the-art methods, here, we extract information from auditory output only.
On the other the hand, the clustering method considers only output space, which can be ensure that the possibility to discover the real structure of the mapping in the output space.
The high deformability of the prototype suggested the use of an output-only method, such as the operational modal analysis (OMA) (Zhang et al. 2005).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com