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The FAA annually invests approximately $3B in small commercial and general aviation airports, with additional infrastructure investments appropriated at the state level. Accurate airport operations counts are critical for fair and efficient allocation of federal and state funds for airport development and improvement. Of the 3,331 airports in the United States that constitute the National Plan of...
Moment estimation is one of the most important tasks to appropriately characterize the performance variability of today's nanoscale integrated circuits. In this paper, we propose an efficient algorithm of multi-population moment estimation via Dirichlet Process (MPME-DP) for validation of analog and mixed-signal circuits with extremely small sample size. The key idea is to partition all populations...
It is an important task in Internet demography and security monitoring to accurately measure the user population of an application in a network. In previous works, the Domain Name System (DNS) cache probing technique was proposed to estimate λ¯, the average DNS querying rate for a domain name associated with the given application. One can readily obtain the user population given another empirical...
Evolutionary algorithms (EAs) have been widely proved to be effective in solving complex problems. Estimation of distribution algorithm (EDA) is an emerging EA, which manipulates probability models instead of genes for evolution EDA creates probability models based on the promising solution in the population and generates offspring by sampling from these models. The model complexity is a key factor...
A critical problem in pre-Silicon and post-Silicon validation of analog/mixed-signal circuits is to estimate the distribution of circuit performances, from which the probability of failure and parametric yield can be estimated at all circuit configurations and corners. With extremely small sample size, traditional estimators are only capable of achieving a very low confidence level, leading to either...
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