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Start Over Topic algorithms Region united states Database Academic Search Index Publisher american institute of physics
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1. COVID-19 in the United States: Trajectories and second surge behavior.

Author

James, Nick and Menzies, Max

Subjects
*COVID-19, *ALGORITHMS, *TIME series analysis, *POINT set theory, *BEHAVIOR
Abstract

This paper introduces a mathematical framework for determining second surge behavior of COVID-19 cases in the United States. Within this framework, a flexible algorithmic approach selects a set of turning points for each state, computes distances between them, and determines whether each state is in (or over) a first or second surge. Then, appropriate distances between normalized time series are used to further analyze the relationships between case trajectories on a month-by-month basis. Our algorithm shows that 31 states are experiencing second surges, while four of the 10 largest states are still in their first surge, with case counts that have never decreased. This analysis can aid in highlighting the most and least successful state responses to COVID-19. [ABSTRACT FROM AUTHOR]

Published
2020
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2. A NEW ONLINE DISTRIBUTED PROCESS FAULT DETECTION AND ISOLATION APPROACH USING POTENTIAL CLUSTERING TECHNIQUE.

Author

Bahrampour, Soheil, Moshiri, Behzad, and Salahshoor, Karim

Subjects
*ALGORITHMS, *ALGEBRA, *BENCHMARKING (Management), *BEST practices
Abstract

Most of process fault monitoring systems suffer from offline computations and confronting with novel faults that limit their applicabilities. This paper presents a new online fault detection and isolation (FDI) algorithm based on distributed online clustering approach. In the proposed approach, clustering algorithm is used for online detection of a new trend of time series data which indicates faulty condition. On the other hand, distributed technique is used to decompose the overall monitoring task into a series of local monitoring sub-tasks so as to locally track and capture the process faults. This algorithm not only solves the problem of online FDI, but also can handle novel faults. The diagnostic performances of the proposed FDI approach is evaluated on the Tennessee Eastman process plant as a large-scale benchmark problem. [ABSTRACT FROM AUTHOR]

Published
2009
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