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Brian J. d'Auriol, John Kim, Sungyoung Lee and Young-Koo Lee, Orthogonal Organized Finite State Machine Application to Sensor Acquired Information, Proceedings of the 9th International Conference on Parallel Computing Technologies, in Parallel Computing Technologies (LNCS 4671), Victor Malyshkin (Ed.), pp. 111-118, Springer
Pereslavl-Zalessky, Russia, Sept. 3-7
Abstract
The application of the Orthogonal Organized Finite State Machine (OOFSM) to the representation of data acquired by sensor networks is proposed. The OOFSM was proposed in earlier work; it is succinctly reviewed here. The approach and representation of the OOFSM to sensor acquired data is formalized. The usefulness of this OOFSM application is illustrated by several case studies, specifically, gradients, contouring and discrete trajectory path determination. In addition, this paper informally discusses the OOFSM as a Cellular Automata.
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