All Outputs (4)

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.

A Residual Concatenate FCN Approach to Beam Blockage Correction in Weather Radars (2021)
Presentation / Conference Contribution
Wu, H., Liu, Q., Liu, X., Zhang, Y., Xu, X., & Bilal, M. (2021, October). A Residual Concatenate FCN Approach to Beam Blockage Correction in Weather Radars. Paper presented at The 6th IEEE Cyber Science and Technology Congress (2021) (CyberSciTech 2021), Online

Blockchain-based identity and authentication scheme for MQTT protocol (2021)
Presentation / Conference Contribution
Abdelrazig Abubakar, M., Jaroucheh, Z., Al-Dubai, A., & Liu, X. (2021, March). Blockchain-based identity and authentication scheme for MQTT protocol. Presented at ICBCT '21: 2021 The 3rd International Conference on Blockchain Technology, Shanghai, China

The publish and subscribe messaging model has proven itself as a dominant messaging paradigm for IoT systems. An example of such is the commonly used Message Queuing Telemetry Transport (MQTT) protocol. However, the security concerns with this protoc... Read More about Blockchain-based identity and authentication scheme for MQTT protocol.

Programming Languages: A Usage-based Statistical Analysis and Visualization (2021)
Presentation / Conference Contribution
Orlowska, A., Chrysoulas, C., Jaroucheh, Z., & Liu, X. (2021, March). Programming Languages: A Usage-based Statistical Analysis and Visualization. Presented at ICISS 2021: 2021 The 4th International Conference on Information Science and Systems, Edinburgh

Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest... Read More about Programming Languages: A Usage-based Statistical Analysis and Visualization.