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We investigate ear recognition systems for severe signal degradation of ear images in order to assess the impact on biometric performance of diverse well-established feature extraction algorithms. Various intensities of signal degradation, i.e. out-of-focus blur and thermal noise, are simulated in order to construct realistic acquisition scenarios. Experimental evaluations, which are carried out on...
Ear recognition has recently gained much attention, as for surveillance scenarios identification remains feasible, in case the facial characteristic is partly or fully covered. However video footage stemming from surveillance cameras is often of low quality. In this work we investigate the impact of signal degradation, i.e. out-of-focus blur and thermal noise, on the segmentation accuracy of automated...
Negative Bias Temperature Instability (NBTI) is suspected to be linked to various other MOSFET phenomena. We report measurements of increased drain current noise, increased gate leakage current, and decreased recoverable threshold voltage shift after multiple cycles of negative bias temperature stress and relaxation for three different technologies. We also find that stress conditions have to be carefully...
Our understanding of the bias temperature instability (BTI) has been plagued by disagreements related to measurement issues. Although even in the early papers on BTI the existence of recovery was acknowledged and discussed, for unknown reasons this had little impact on the way we used to think about the phenomenon until recently. Even after the re-discovery of recovery, it took a few years until it...
Due to the ongoing reduction in device geometries, the statistical properties of a few defects can significantly alter and degrade the electrical behavior of nano-scale devices. These statistical alterations have commonly been studied in the form of random telegraph noise (RTN). Here we show that a switching trap model previously suggested for the recoverable component of the negative bias temperature...
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