Toward Sensor-Based Context Aware Systems
Autor: | Marco Anisetti, Kouhei Takada, Valerio Bellandi, Ernesto Damiani, Paolo Ceravolo, Yoshitaka Sakurai, Setsuo Tsuruta |
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Jazyk: | angličtina |
Rok vydání: | 2012 |
Předmět: |
Computer science
Decision Making Context (language use) 02 engineering and technology computer.software_genre Machine learning lcsh:Chemical technology Biochemistry Fuzzy logic Article Analytical Chemistry interpretation uncertainty Fuzzy Logic Heart Rate 0202 electrical engineering electronic engineering information engineering sensor data interpretation Humans lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Monitoring Physiologic Context model Thesaurus (information retrieval) SIMPLE (military communications protocol) Business rule business.industry context-based systems Uncertainty Experimental data 020206 networking & telecommunications Models Theoretical Atomic and Molecular Physics and Optics 020201 artificial intelligence & image processing Data mining Artificial intelligence business computer |
Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 12, Iss 1, Pp 632-649 (2012) Sensors Volume 12 Issue 1 Pages 632-649 |
ISSN: | 1424-8220 |
Popis: | This paper proposes a methodology for sensor data interpretation that can combine sensor outputs with contexts represented as sets of annotated business rules. Sensor readings are interpreted to generate events labeled with the appropriate type and level of uncertainty. Then, the appropriate context is selected. Reconciliation of different uncertainty types is achieved by a simple technique that moves uncertainty from events to business rules by generating combs of standard Boolean predicates. Finally, context rules are evaluated together with the events to take a decision. The feasibility of our idea is demonstrated via a case study where a context-reasoning engine has been connected to simulated heartbeat sensors using prerecorded experimental data. We use sensor outputs to identify the proper context of operation of a system and trigger decision-making based on context information. |
Databáze: | OpenAIRE |
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