In this paper, an accurate approach for estimating SRAM dynamic stability is proposed. The conventional methods of SRAM stability estimation suffer from two major drawbacks: 1) using static failure criteria, such as static noise margin (SNM), which does not capture the transient and dynamic behavior of SRAM operation and 2) using quasi-Monte Carlo simulation, which approximates the failure distribution, resulting in large errors at the tails where the desired failure probabilities exist. These drawbacks are eliminated by employing a new distribution-independent, most-probable-failure-point search technique for accurate probability calculation along with accurate simulation-based dynamic failure criteria. Compared to previously published techniques, the proposed technique offers orders of magnitude improvement in accuracy. Furthermore, the proposed technique enables the correct evaluation of stability in real operation conditions and for different dynamic circuit techniques, such as dynamic write-back, where the conventional methods are not applicable.
This study analyzed the regional characteristics of extreme drought events in each of the medium-scale basins in the Korean Peninsula by using the Standardized Precipitation Index(SPI), one of the typical drought indexes, and analyzed hydrologic risk by season and basin in consideration of the exceedance probability of all the observational data. According to the results of estimating SPI with the observational rainfall data and analyzing severe droughts' time and space characteristics as well as tendencies, spring droughts are more serious in the Korean Peninsula. In addition, according to the results of analyzing average hydrologic risk by using 4 GCMs for five major rivers' basins in the Korean Peninsula, about short-term mid-term droughts, basin regions weak for droughts are expected to increase in the Korean Peninsula. It is expected that the method for analyzing basins' hydrologic risk in consideration of extreme droughts suggested here in this study will show high applicability in predicting droughts in the Korean Peninsula according to the climatic change and establishing practical coping strategies.
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