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37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the (2004)
Big Island, Hawaii
Jan. 5, 2004 to Jan. 8, 2004
ISSN: 1530-1605
ISBN: 0-7695-2056-1
pp: 20056
John James , United States Military Academy
Frank Mabry , United States Military Academy
ABSTRACT
Sensor management plays a key role in control of critical infrastructure systems. This paper describes an approach for improving capabilities for interpretation, decision, and action based on sensor data through application of an intermediate level of aggregation. Improvements in complex system understanding are needed now at the interface between human understanding of system state and machine understanding of system state. The human understanding of the state of the system (situation understanding) must be achieved under ever more demanding time constraints. As expectations increase for faster, more-informed (better) decisions by humans at the supervisory-control level, improvements are needed for providing support for interpreting sensor data to understand current system behaviors and make informed human decisions on actions needed to cause future system behaviors to comply with some planned sequence of events or patterns of behavior. Likewise, as the number and capabilities of networked sensors increase, improvements are needed in enabling autonomous control systems at local levels to understand current system behaviors and make informed machine decisions on actions needed to cause future system behaviors to comply with some planned sequence of events or patterns of behavior. The paper discusses achieving an intermediate level of aggregation: (1) as a scientific basis for understanding complex system behaviors, (2) as an effective tool for creation of technologies based an intermediate level of aggregation and (3) as a basis for education of leaders who must make decisions based on understanding of the current system state.
INDEX TERMS
trustworthy systems, sensor fusion, data mining, decision support
CITATION

J. James and F. Mabry, "Building Trustworthy Systems: Guided State Estimation as a Feasible Approach for Interpretation, Decision and Action Based on Sensor Data," 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the(HICSS), Big Island, Hawaii, 2004, pp. 20056.
doi:10.1109/HICSS.2004.1265186
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