Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation
Conference Proceeding
Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (in press)
Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation.
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 a...
A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings
Journal Article
Liu, Q., Nakoty, F. M., Wu, X., Anaadumba, R., Liu, X., Zhang, Y., & Qi, L. (2020)
A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings. Computer Communications, 162, 187-195. https://doi.org/10.1016/j.comcom.2020.08.024
Compared to Intrusive Load Monitoring which uses smart power meters at each level to be monitored, Non-Intrusive Load Monitoring (NILM) is an ingenious way that relies on sign...
Semantic Stream Management Framework for Data Consistency in Smart Spaces
Conference Proceeding
Bamgboye, O., Liu, X., & Cruickshank, P. (2019)
Semantic Stream Management Framework for Data Consistency in Smart Spaces. https://doi.org/10.1109/COMPSAC.2019.10188
Semantic technology can provide a bridge between
smart applications and Internet of Things (IoT) to enable
possible integration and interoperability of data produced by
hetero...