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The objective of this work is to evaluate hardwood lumber grading accuracy based on current state-of-the-art multiple sensor scanning technology, which uses laser profile detectors, color cameras, and an X-ray scanner.
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The solution is to make a thin, low profile detector, essentially a modern version of "X-ray detecting paper".
The proposed neutron beam profile detector will be useful, for example, in radiotherapy applications with neutron intensities above 107Hz/cm2.
The road profile detector is based on the frequency and amplitude estimation of the road irregularities by using a Fourier analysis.
Some conclusions regarding interaction depth profiles, detector efficiency, the new anode pattern design and device quality are reported.
To measure the beam profile, the detector and pinhole move in the r direction which is the transversal direction perpendicular to the direction of laser beam propagation.
The described deconvolution process allows to derive glow curve parameters which are more or less independent of the used heating profile and detector thickness.
It is a low-profile dashboard detector of radar and laser traps.
A mathematical model has been developed, simulating the time profile of the detector response.
Due to the narrow width and sharp profile of the detector, it is not very user-friendly for either physicians or technicians.
The contextual anomaly detector is based on two concepts: defining the sensor profiles and assigning each sensor to one of the sensor profiles, and evaluating the current sensor value (declared anomalous by the content anomaly detector) against the sensor profile's average expected value.
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