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Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation

Bamgboye, Oluwaseun; Liu, Xiaodong; Cruickshank, Peter; Liu, Qi; Zhang, Yonghong

Authors

Qi Liu

Yonghong Zhang



Abstract

In this paper, a stream quality tracking for measurements from combined radar and physical sensors is developed. The authors proposed the use of RDF stream processing system and semantic rules to provide semantic reasoning for tracking erroneous data points from real time sensor readings. We demonstrated the effectiveness and the efficiency of the approach using the dataset produced from smart home project. Experiments were conducted with simulated arbitrary sensor values for inconsistent and missing sensor readings at various data points. The results was able to show the feasibility of the approach and that quality requirement of sensor streams can be verified at lower granularity level (data layer) of smart actuators.

Citation

Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (2021). Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation. In 2021 CIE International Conference on Radar (Radar). https://doi.org/10.1109/Radar53847.2021.10028325

Conference Name 2021 CIE International Conference on Radar (Radar)
Conference Location Haikou, Hainan, China
Start Date Dec 15, 2021
End Date Dec 19, 2021
Acceptance Date Oct 25, 2021
Online Publication Date Feb 8, 2023
Publication Date 2021
Deposit Date Nov 12, 2021
Publicly Available Date Mar 29, 2024
Publisher Institute of Electrical and Electronics Engineers
Series ISSN 2640-7736
Book Title 2021 CIE International Conference on Radar (Radar)
DOI https://doi.org/10.1109/Radar53847.2021.10028325
Keywords Actuator, C-SPARQL, Radar, IoT, Sensor, Stream Quality
Public URL http://researchrepository.napier.ac.uk/Output/2796278

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Tracking Stream Quality Issues In Combined Physical And Radar Sensors For IoT-based Data-driven Actuation (accepted version) (1.4 Mb)
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