Fault detection, isolation and recovery is crucial in semiand fully-autonomous vehicles, particularly such vehicles as planetary rovers, which are far-removed from assistance, human or otherwise, in the event of a fault. Residual generation is a popular and conceptually simple method of model-based fault detection, comparing estimates of system properties with other estimates or measurements of...

This study was to explore the conversion of low-cost bio-residuals into high value-added cellulose nanocrystals. Two enzymatic hydrolyzed residuals (i.e., HRMMW and HRSPW) were collected from two different bio-ethanol producing processes-hydrolyzing medium-milled wood (MMW) and hydrolyzing acid sulfite pretreated wood (SPW), respectively. The results showed that both residuals contained over 20...

For Deepfake detection, residual-based features can preserve tampering traces and suppress irrelevant image content. However, inappropriate residual prediction brings side effects on detection accuracy. Meanwhile, residual-domain are easily affected by some operations such as lossy compression. Most existing works exploit either spatial-domain or features, which fed into the backbone network fo...

Presented here are comparisons between the Infrared Atmospheric Sounding instrument (IASI) and the “Line-By-Line Radiative Transfer Model” (LBLRTM). Spectral residuals from radiance closure studies during the IASI JAIVEx validation campaign provide insight into a number of spectroscopy issues relevant to remote sounding of temperature, water vapor and trace gases from IASI. In order to perform ...