2021
DOI: 10.1007/s10836-021-05976-8
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Reducing Aging Impacts in Digital Sensors via Run-Time Calibration

Abstract: County (UMBC) ScholarWorks@UMBC digital repository on the Maryland Shared Open Access (MD-SOAR) platform.

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Cited by 4 publications
(5 citation statements)
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References 30 publications
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“…Note that, the number of sensors, and the location they are resided in a chip (to detect FIAs) depend on the number of sensitive blocks we want to monitor and their placement in the chip (refer to fig. 19 of [4]). Figure 13 compares the variation of sensors' AFN index in various voltage quantities vis-a-vis for two sensors in each FPGA, in particular Sensor-1 and Sensor-8.…”
Section: Intra-vs Inter-die Variation Of Digital Sensormentioning
confidence: 98%
See 2 more Smart Citations
“…Note that, the number of sensors, and the location they are resided in a chip (to detect FIAs) depend on the number of sensitive blocks we want to monitor and their placement in the chip (refer to fig. 19 of [4]). Figure 13 compares the variation of sensors' AFN index in various voltage quantities vis-a-vis for two sensors in each FPGA, in particular Sensor-1 and Sensor-8.…”
Section: Intra-vs Inter-die Variation Of Digital Sensormentioning
confidence: 98%
“…There are two aspects linked to that: (i) Testing a PUF means dealing with samples from a joint distribution of manufacturing variations and noise 3 . (ii) The entropy of a PUF is restricted by the limited variations in the manufacturing process and is effectively lowered by noise which often imposes remediation means such as error correction 4 .…”
Section: Fundamental Differences In Statistical Propertiesmentioning
confidence: 99%
See 1 more Smart Citation
“…In these sensors, instead of quantifying the propagation time, it is checked if the transition feeding the corresponding delay chain manages to propagate to the end of the delay chain at the considered frequency. As will be discussed later, we use such a sensor for detecting LFIAs in this paper [59].…”
Section: B Time-to-digital Convertermentioning
confidence: 99%
“…The classic aging prognosis schemes mainly utilize lookup tables to record the history of operating conditions and use this data to predict aging degradation rate via machine learning models [8,19]. However, as the operating conditions can change frequently during the runtime, using such method is challenging.…”
Section: Introductionmentioning
confidence: 99%