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Sensors 2009, 9(11), 8422-8437;

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 / Revised: 10 October 2009 / Accepted: 19 October 2009 / Published: 26 October 2009
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Japan)
Full-Text   |   PDF [407 KB, uploaded 21 June 2014]


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. View Full-Text
Keywords: sensor systems; profiles; adaptive sensing; dynamic relational network sensor systems; profiles; adaptive sensing; dynamic relational network
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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