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All Outputs (5)

Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation (2021)
Presentation / Conference Contribution
Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (2021, December). Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation. Presented at 2021 CIE International Conference on Radar (Radar), Haikou, Hainan, China

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

Semantic model-driven framework for validating quality requirements of Internet of Things streaming data (2021)
Thesis
Bamgboye, O. O. Semantic model-driven framework for validating quality requirements of Internet of Things streaming data. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2855298

The rise of Internet of Things has provided platforms mostly enhanced by real-time data-driven services for reactive services and Smart Cities innovations. However, IoT streaming data are known to be compromised by quality problems, thereby influenci... Read More about Semantic model-driven framework for validating quality requirements of Internet of Things streaming data.

Semantic Stream Management Framework for Data Consistency in Smart Spaces (2019)
Presentation / Conference Contribution
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 heterogeneous devices. In IoT, data quality plays an important role when it c... Read More about Semantic Stream Management Framework for Data Consistency in Smart Spaces.

Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. (2018)
Presentation / Conference Contribution
Bamgboye, O., Liu, X., & Cruickshank, P. (2018, July). Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. Presented at 12th IEEE Interna@onal Workshop on QUALITY ORIENTED REUSE OF SOFTWARE" (QUORS 2018)/ 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), Tokyo, Japan

Smart Spaces currently benefits from Internet of Things (IoT) infrastructures in order to realise its objectives. In many cases, it demonstrates this through certain automated applications that relies on sensor streams that comes with some uncertaint... Read More about Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces..

Replication-based cost scheduling strategy for fault tolerance in distributed knowledge management systems (2015)
Journal Article
Bamgboye, O. O., Folorunso, O., Akinwale, A. T., & Adebayo, G. A. (2015). Replication-based cost scheduling strategy for fault tolerance in distributed knowledge management systems. Journal of Natural Sciences Engineering and Technology, 14(1), https://doi.org/10.51406/jnset.v14i1.1487

Distributed Knowledge Management Systems (DKMS) often depends on the Semantic Web Peer-to-Peer (SW-P2P) model. The reason for this is based on its support for autonomy of knowledge node, ease of accessibility and scalability. The susceptibility to fa... Read More about Replication-based cost scheduling strategy for fault tolerance in distributed knowledge management systems.