Spatio-Temporal Normalization of Data from Heterogeneous Sensors

Alessio Fanelli; Daniela Micucci; Marco Mobilio; Francesco Tisato

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Paper

Spatio-Temporal Normalization of Data from Heterogeneous Sensors

Topics: Ambient Intelligence and Digital Ecosystems

In Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 0ICSOFT, 462-467, 2015 , Colmar, Alsace, France

Authors: Alessio Fanelli ; Daniela Micucci ; Marco Mobilio and Francesco Tisato

Affiliation: University of Milano - Bicocca, Italy

Keyword(s): Sensor Heterogeneity, Modularisation, Software Architecture, Knowledge Representation.

Abstract: The growing use of sensors in smart environments applications like smart homes, hospitals, public transportation, emergency services, education, and workplaces not only generates constantly increasing of sensor data, but also rises the complexity of integration of heterogeneous data and hardware devices. In order to get more accurate and consistent information on real world events, heterogeneous sensor data should be normalized. The paper proposes a set of architectural abstractions aimed at representing sensors' measurements that are independent from the sensors' technology. Such a set can reduce the effort for data fusion and interpretation. The abstractions allow to represent raw sensor readings by means of spatio-temporal contextualized events.

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Paper citation in several formats:

Fanelli, A.; Micucci, D.; Mobilio, M. and Tisato, F. (2015). Spatio-Temporal Normalization of Data from Heterogeneous Sensors. In Proceedings of the 10th International Conference on Software Engineering and Applications (ICSOFT 2015) - ICSOFT-EA; ISBN 978-989-758-114-4, SciTePress, pages 462-467. DOI: 10.5220/0005559504620467

@conference{icsoft-ea15,
author={Alessio Fanelli. and Daniela Micucci. and Marco Mobilio. and Francesco Tisato.},
title={Spatio-Temporal Normalization of Data from Heterogeneous Sensors},
booktitle={Proceedings of the 10th International Conference on Software Engineering and Applications (ICSOFT 2015) - ICSOFT-EA},
year={2015},
pages={462-467},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005559504620467},
isbn={978-989-758-114-4},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Software Engineering and Applications (ICSOFT 2015) - ICSOFT-EA
TI - Spatio-Temporal Normalization of Data from Heterogeneous Sensors
SN - 978-989-758-114-4
AU - Fanelli, A.
AU - Micucci, D.
AU - Mobilio, M.
AU - Tisato, F.
PY - 2015
SP - 462
EP - 467
DO - 10.5220/0005559504620467
PB - SciTePress