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A refined model for the buckling of film/substrate bilayers (2022)
Journal Article
Wang, G., Liu, Y., & Fu, Y. (2022). A refined model for the buckling of film/substrate bilayers. Mathematics and Mechanics of Solids, https://doi.org/10.1177/10812865221107072

The classical reduced model for film/substrate bilayers is the one in which the film is governed by the Euler–Bernoulli beam equation, and the substrate is replaced by an array of springs (the so-called Winkler foundation assumption). We derive a ref... Read More about A refined model for the buckling of film/substrate bilayers.

Security Culture in Industrial Control Systems Organisations: A Literature Review (2022)
Book Chapter
Evripidou, S., Ani, U. D., D McK. Watson, J., & Hailes, S. (2022). Security Culture in Industrial Control Systems Organisations: A Literature Review. In IFIP Advances in Information and Communication Technology (133-146). Springer. https://doi.org/10.1007/978-3-031-12172-2_11

Industrial control systems (ICS) are a key element of a country’s critical infrastructure, which includes industries like energy, water, and transport. In recent years, an increased convergence of operational and information technology has been takin... Read More about Security Culture in Industrial Control Systems Organisations: A Literature Review.

AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS (2022)
Journal Article
Aribilola, I., Asghar, M., Kanwal, N., Ansari, M., & Lee, B. (2022). AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS. https://doi.org/10.1109/issc55427.2022.9826141

The surveillance videos taken from dynamic cam-eras are susceptible to multiple security threats like replay attacks, man-in-the-middle attacks, pixel correlation attacks etc. Using unsupervised learning, it is a challenge to detect objects in such s... Read More about AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS.

Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition (2022)
Journal Article
Mandal, B. (2022). Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition. Signal Processing: Image Communication, 116818 - 116818. https://doi.org/10.1016/j.image.2022.116818

Image/video based defect recognition is a crucial task in automating visual inspection of concrete structures. Although some progress has been made to automatically recognize defects in concrete structural images, significant challenges still exist.... Read More about Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition.

Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning (2022)
Journal Article
Fan. (2022). Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning. Applied Energy, https://doi.org/10.1016/j.apenergy.2022.119151

To reduce global greenhouse gas emissions, the world must find intelligent solutions to maximise the utilisation of carbon-free renewable energy sources. In this paper, multi-agent reinforcement learning is used to control a microgrid in a mixed coop... Read More about Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning.

Reflections on the 35th BCS Human-Computer Interaction Conference at Keele University (2022)
Presentation / Conference Contribution
Woolley, S., de Quincey, E., Flint, T., Grandison, T., Rugg, G., Fleck, R., Whittington, P., Ortolani, M., Misirli, G., & Collins, T. (2022, July). Reflections on the 35th BCS Human-Computer Interaction Conference at Keele University. Presented at 35th International BCS Human-Computer Interaction Conference, Keele, Staffordshire, UK

Interactive 3D Viewer Interfaces for Virtual Museum Artefacts (2022)
Presentation / Conference Contribution
Woolley, S., Collins, T., Gehlken, E., Rhodes, R., & Dhar, M. (2022, July). Interactive 3D Viewer Interfaces for Virtual Museum Artefacts. Presented at 35th International BCS Human-Computer Interaction Conference (HCI2022)

Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints (2022)
Journal Article
Fan, & Samende. (2022). Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints. Applied Energy, https://doi.org/10.1016/j.apenergy.2022.119123

In this paper, we investigate an energy cost minimization problem for prosumers participating in peer-to-peer energy trading. Due to (i) uncertainties caused by renewable energy generation and consumption, (ii) difficulties in developing an accurate... Read More about Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints.