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David Sears 0001

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affiliation: Rogue Wave Software, Kanata, ON, Canada
affiliation (PhD 2018): Queen's University, School of Computing, Kingston, ON, CA

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2010 – 2019

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2018
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David Sears:
Dynamic Observation in Discrete-Event Systems. Queen's University at Kingston, Ontario, Canada, 2018
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David Sears, Karen Rudie:
Computing observers from observation policies in discrete-event systems. Discret. Event Dyn. Syst. 28(4): 509-537 (2018)
2016
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David Sears, Karen Rudie:
Minimal sensor activation and minimal communication in discrete-event systems. Discret. Event Dyn. Syst. 26(2): 295-349 (2016)
2014
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David Sears, Karen Rudie:
On computing indistinguishable states of nondeterministic finite automata with partially observable transitions. CDC 2014: 6731-6736
2013
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David Sears, Karen Rudie:
Efficient computation of sensor activation decisions in discrete-event systems. CDC 2013: 6966-6971
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David Sears, Karen Rudie:
Computing sensor activation decisions from state equivalence classes in discrete-event systems. CDC 2013: 6972-6977
2012
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David Sears, Kai Salomaa:
Extended Watson-Crick L systems with regular trigger languages and restricted derivation modes. Nat. Comput. 11(4): 653-664 (2012)
2011
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David Sears, Kai Salomaa:
Extended Watson-Crick L Systems with Regular Trigger Languages. UC 2011: 212-223

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