Search results for "picking"
showing 3 items of 13 documents
Statistical Picking of Multivariate Waveforms
2022
In this paper, we propose a new approach based on the fitting of a generalized linear regression model in order to detect points of change in the variance of a multivariate-covariance Gaussian variable, where the variance function is piecewise constant. By applying this new approach to multivariate waveforms, our method provides simultaneous detection of change points in functional time series. The proposed approach can be used as a new picking algorithm in order to automatically identify the arrival times of P- and S-waves in different seismograms that are recording the same seismic event. A seismogram is a record of ground motion at a measuring station as a function of time, and it typica…
Quando la macchina organizza il lavoratore. Spunti su eterodirezione e sistema voice-picking nei contratti di appalto
2022
Nel presente contributo, dopo aver dato atto, per cenni, degli orientamenti giurisprudenziali più recenti in tema di interposizione illecita di manodopera, forniscono alcuni spunti di riflessione in merito al problematico utilizzo, negli appalti ad alta intensità di manodopera nel settore della logistica, del sistema c.d. voice-picking, con cui il personale adibito alle lavorazioni nei magazzini viene guidato da una voce sintetizzata nell’esecuzione della prestazione lavorativa. In this contribution, after acknowledging, for hints, the most recent jurisprudential guidelines on the subject of the illegal interposition of manpower, they provide some food for thought on the problematic use, in…
A new picking algorithm based on the variance piecewise constant models
2022
AbstractIn this paper, we propose a novel picking algorithm for the automatic P- and S-waves onset time determination. Our algorithm is based on the variance piecewise constant models of the earthquake waveforms. The effectiveness and robustness of our picking algorithm are tested both on synthetic seismograms and real data. We simulate seismic events with different magnitudes (between 2 and 5) recorded at different epicentral distances (between 10 and 250 km). For the application to real data, we analyse waveforms from the seismic sequence of L’Aquila (Italy), in 2009. The obtained results are compared with those obtained by the application of the classic STA/LTA picking algorithm. Althoug…