Abstract: A data processing method for detecting and classifying a segment of a signal that is obtained from a single-channel EEG-recording as a target signal segment or as a non-target signal segment. The method includes a voting process to determine whether classification of a first detected segment of the signal as a target signal segment or classification of a second detected segment of the signal as a non-target signal segment is correct. A device and a system that are configured and arranged to perform the data processing method.

Abstract: A nondestructive method of monitoring scale buildup in a section of pipe includes: transmitting, from a first transducer at a first location of the pipe, axisymmetric torsional ultrasonic guided waves (UGWs) to propagate along the pipe, the torsional UGWs spanning a frequency band comprising multiple higher order modes; receiving, by a second transducer at a second location of the pipe, the propagated torsional UGWs; and determining a thickness of the scale buildup in the pipe between the first location and the second locations using the received torsional UGWs. The determining step comprises: measuring attributes from the received torsional UGWs, the attributes being first arrival times or mode cutoff frequencies; comparing the measured attributes to sets of computed said attributes, each set representing a different scale buildup thickness; and selecting the compared set of computed attributes that is closest to the measured attributes.