Outputs (2072)

Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions (2021)
Presentation / Conference Contribution
Wadhaj, I., Ghaleb, B., & Thomson, C. (2021, June). Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions. Presented at International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021), Online

Effective measurement and monitoring of certain parameters (temperature, pressure, flow etc.) is crucial for the safety and optimization of processes in the Oil and Gas Industry. Wired sensors have been extensively utilized for this purpose but are c... Read More about Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions.

Improved Group-Based Signaling Scheme for Mobile Nodes in the Internet of Things Networks (2021)
Presentation / Conference Contribution
Ghaleb, S. M., Man, M., Ghaleb, B., Aplop, F., Ghaleb, M., & Al-Hadi, I. A. A. (2021, April). Improved Group-Based Signaling Scheme for Mobile Nodes in the Internet of Things Networks. Presented at ICETIS: International Conference on Emerging Technologies and Intelligent Systems, Online

One of the most important challenge in the mobility management protocols is maintaining the MN’s IP connectivity and its accessibility during its movement. Although mobility protocols have come a long way in solving this issue in IP-WSNs, they still... Read More about Improved Group-Based Signaling Scheme for Mobile Nodes in the Internet of Things Networks.

An RPL based Optimal Sensors placement in Pipeline Monitoring WSNs (2021)
Presentation / Conference Contribution
Wadhaj, I., Thomson, C., & Ghaleb, B. (2021, June). An RPL based Optimal Sensors placement in Pipeline Monitoring WSNs. Presented at International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021), Online

Compared to an ordinary sensor network, Linear Sensor Networks (LSNs) has many applications in a number of areas such as surveillance and monitoring of international boundaries for illegal crossing, river environment monitoring and roads monitoring e... Read More about An RPL based Optimal Sensors placement in Pipeline Monitoring WSNs.

CAPE: Context-Aware Private Embeddings for Private Language Learning (2021)
Presentation / Conference Contribution
Plant, R., Gkatzia, D., & Giuffrida, V. (2021). CAPE: Context-Aware Private Embeddings for Private Language Learning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (7970-7978)

Neural language models have contributed to state-of-the-art results in a number of downstream applications including sentiment analysis, intent classification and others. However, obtaining text representations or embeddings using these models risks... Read More about CAPE: Context-Aware Private Embeddings for Private Language Learning.

What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think (2021)
Presentation / Conference Contribution
Howcroft, D. M., & Rieser, V. (2021, November). What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think. Presented at 2021 Conference on Empirical Methods in Natural Language Processing

Previous work has shown that human evaluations in NLP are notoriously under-powered. Here, we argue that there are two common factors which make this problem even worse: NLP studies usually (a) treat ordinal data as interval data and (b) operate unde... Read More about What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think.

Blockchain-Based Authentication and Registration Mechanism for SIP-Based VoIP Systems (2021)
Presentation / Conference Contribution
Abubakar, M., Jaroucheh, Z., Al Dubai, A., & Buchanan, W. (2021, October). Blockchain-Based Authentication and Registration Mechanism for SIP-Based VoIP Systems. Presented at 2021 5th Cyber Security in Networking Conference (CSNet), Abu Dhabi, United Arab Emirates

The Session Initiation Protocol (SIP) is the principal signalling protocol in Voice over IP (VoIP) systems, responsible for initialising, terminating, and maintaining sessions amongst call parties. However, the problem with the SIP protocol is that i... Read More about Blockchain-Based Authentication and Registration Mechanism for SIP-Based VoIP Systems.

A Machine Learning Based Quantitative Data Analysis for Screening Skin Diseases Based on Optical Coherence Tomography Angiography (OCTA) (2021)
Presentation / Conference Contribution
Ji, Y., Yang, S., Zhou, K., Li, C., & Huang, Z. (2021, September). A Machine Learning Based Quantitative Data Analysis for Screening Skin Diseases Based on Optical Coherence Tomography Angiography (OCTA). Presented at 2021 IEEE International Ultrasonics Symposium, Xi'an, China [Online]

Lack of accurate and standard quantitative evaluations limit the progress of applying the OCTA technique into skin clinical trials. More systematic research is required to investigate the possibility of using quantitative OCTA techniques for screenin... Read More about A Machine Learning Based Quantitative Data Analysis for Screening Skin Diseases Based on Optical Coherence Tomography Angiography (OCTA).

Architecture-aware Precision Tuning with Multiple Number Representation Systems (2021)
Presentation / Conference Contribution
Cattaneo, D., Chiari, M., Fossati, N., Cherubin, S., & Agosta, G. (2021, December). Architecture-aware Precision Tuning with Multiple Number Representation Systems. Presented at 2021 58th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA

Precision tuning trades accuracy for speed and energy savings, usually by reducing the data width, or by switching from floating point to fixed point representations. However, comparing the precision across different representations is a difficult ta... Read More about Architecture-aware Precision Tuning with Multiple Number Representation Systems.

tiNNbre: a timbre-based musical agent (2021)
Presentation / Conference Contribution
Bolzoni, A., Di Donato, B., & Laney, R. (2021). tiNNbre: a timbre-based musical agent. In 2nd Nordic Sound and Music Conference

In this paper, we present tiNNbre, a generative music prototype-system that reacts to timbre gestures. By timbre gesture we mean a sonic (as opposed to body) gesture that mainly conveys artistic meaning through timbre rather than other sonic properti... Read More about tiNNbre: a timbre-based musical agent.

Developing Visualisations to Enhance an Insider Threat Product: A Case Study (2021)
Presentation / Conference Contribution
Graham, M. (2021, October). Developing Visualisations to Enhance an Insider Threat Product: A Case Study. Presented at 18th IEEE Symposium on Visualization for Cyber Security, New Orleans, USA [Online]

This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly functional, was limited in its ability to allow analysts to easily spot the... Read More about Developing Visualisations to Enhance an Insider Threat Product: A Case Study.