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Adaptive Sensing Based on Profiles for Sensor Systems
Department of Knowledge-Based Information Engineering, Toyohashi University of Technology / 1-1, Tempaku, Toyohashi, Aichi 441-8580, Japan
* Author to whom correspondence should be addressed.
Received: 1 September 2009; in revised form: 10 October 2009 / Accepted: 19 October 2009 / Published: 26 October 2009
Abstract: This paper proposes a profile-based sensing framework for adaptive sensor systems based on models that relate possibly heterogeneous sensor data and profiles generated by the models to detect events. With these concepts, three phases for building the sensor systems are extracted from two examples: a combustion control sensor system for an automobile engine, and a sensor system for home security. The three phases are: modeling, profiling, and managing trade-offs. Designing and building a sensor system involves mapping the signals to a model to achieve a given mission.
Keywords: sensor systems; profiles; adaptive sensing; dynamic relational network
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MDPI and ACS Style
Ishida, Y.; Tokumitsu, M. Adaptive Sensing Based on Profiles for Sensor Systems. Sensors 2009, 9, 8422-8437.
Ishida Y, Tokumitsu M. Adaptive Sensing Based on Profiles for Sensor Systems. Sensors. 2009; 9(11):8422-8437.
Ishida, Yoshiteru; Tokumitsu, Masahiro. 2009. "Adaptive Sensing Based on Profiles for Sensor Systems." Sensors 9, no. 11: 8422-8437.