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Moreover, owing to faster and more accurate testing equipment, a number of different offline experimental substructuring methods, operating both in time (e.g. the impulse-based substructuring) and frequency domains (i.e. the Lagrange multiplier frequency-based substructuring), have been employed in mechanical engineering to examine dynamic substructure coupling.
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The parameters were derived heuristically based on offline experimentation on a training set, excluding the sequences reported in the experimental results.
In the first step, black-box models are identified offline using experimental data.
The proposed approach is validated through an offline simulation using experimental data.
The proposed synchronous BCI design was tested on 16 subjects in offline and online experimental tasks using support vector machines, linear discriminant analysis and the nearest mean classifier.
PHENOPSIS DB is a publicly available (URL: http://bioweb.supagro.inra.fr/phenopsis/) information system developed for storage, browsing and sharing of online data generated by the PHENOPSIS platform and offline data collected by experimenters and experimental metadata.
These systems are designed to acquire and to reliably transport shot-by-shot data at a peak throughput of 5 GB/s to the offline data storage where experimental data and the relevant metadata are archived and made available for user analysis.
A user interface allows them to observe the running experiment, and to download experimental data for offline analysis.
In this paper, we propose solutions tackling the combined, map matched trajectory compression problem, the efficiency of which is demonstrated through an extensive experimental evaluation on offline and online trajectory data using synthetic and real trajectory datasets.
Gaze positions were stored on a hard disk after each experimental trial for offline analysis.
Nonetheless, all the uncertainties related to the limitations of the online search (whether 'free' or 'guided') should be taken into consideration when it comes to designing the follow-up experimental protocols for offline testing of the reported phenomena.
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