Manipulating Foley Footsteps and Character Realism to Influence Audience Perceptions of a 3D Animated Walk Cycle
Conference Proceeding
Cunningham, S., & Mcgregor, I. (2022)
Manipulating Foley Footsteps and Character Realism to Influence Audience Perceptions of a 3D Animated Walk Cycle. In AM '22: Audio Mostly 2022
Foley artistry is an essential part of the audio post-production process for film, television, games, and animation. By extension, it is as crucial in emergent media such as v...
Enhancing the appearance of Building Integrated Photovoltaics (BIPV) through the application of Traditional Symbols: A Case Study
Conference Proceeding
Awuku, S. A., Bennadji, A., Muhammad-Sukki, F., & Sellami, N. (2022)
Enhancing the appearance of Building Integrated Photovoltaics (BIPV) through the application of Traditional Symbols: A Case Study. In AIP Conference Proceedings. https://doi.org/10.1063/5.0114941
Over the past years, advanced renewable technologies such as Building Integrated Photovoltaics (BIPV) has transformed to become more efficient, reliable, less costly and attra...
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract)
Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022)
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022. https://doi.org/10.1007/978-3-031-21311-3_8
Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detect...
Generating real-time detailed ground visualisations from sparse aerial point clouds
Conference Proceeding
Murray, A., Mitchell, S., Bradley, A., Waite, E., Ross, C., Jamrozy, J., & Mitchell, K. (in press)
Generating real-time detailed ground visualisations from sparse aerial point clouds.
Our new scheme provides a both texture-less and mesh-less framework, which affords memory efficient, flexible level of detail and visibility optimizations for rendering scener...
Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Arbitrary Load Variations
Conference Proceeding
Bonet-Jara, J., Fernandez-Cavero, V., Vedreno Santos, F., & Pons-Llinares, J. (2022)
Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Arbitrary Load Variations. In 2022 International Conference on Electrical Machines (ICEM). https://doi.org/10.1109/ICEM51905.2022.9910768
Induction motors work under steady state in many applications. Nevertheless, in some cases (e.g., wood cutting machine or pulp mixer in paper industries), the load continuousl...
A Quantitative Field Study of a Persuasive Security Technology in the Wild
Conference Proceeding
Vargheese, J. P., Collinson, M., & Masthoff, J. (2022)
A Quantitative Field Study of a Persuasive Security Technology in the Wild. In Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, Proceedings (211-232). https://doi.org/10.1007/978-3-031-19097-1_13
Persuasive techniques and persuasive technologies have been suggested as a means to improve user cybersecurity behaviour, but there have been few quantitative studies in this ...
Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures
Conference Proceeding
Zheng, C., Zhen, C., Xie, H., & Yang, S. (2022)
Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures. In 2022 IEEE Conference on Dependable and Secure Computing (DSC). https://doi.org/10.1109/dsc54232.2022.9888828
Reinforcement Learning (RL) is one of the most popular methods for solving complex sequential decision-making problems. Deep RL needs careful sensing of the environment, selec...
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations
Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (in press)
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.
Cause-effect graphs have been applied in non agent-based simulations, where they are used to model chained causal relations between input parameters and system behaviour measu...
Dynamic Behaviour of a Geotechnical Seismic Isolation System with Rubber-Sand Mixtures to Enhance Seismic Protection
Conference Proceeding
Bernal-Sanchez, J., McDougall, J., Miranda-Manzanares, M., & Barreto, D. (2022)
Dynamic Behaviour of a Geotechnical Seismic Isolation System with Rubber-Sand Mixtures to Enhance Seismic Protection. In Proceedings of the 3rd European Conference on Earthquake Engineering & Seismology (2674-2683
A Geotechnical Seismic Isolation (GSI) system is proposed in this study based on the use of Rubber-Soil mixtures (RSm) to facilitate the benefits of dynamic soil-foundation st...
Mobilising more women into computing
Conference Proceeding
Taylor-Smith, E., Shankland, C., Smith, S., & Barr, M. (in press)
Mobilising more women into computing. In SRHE International Conference 2022
According to HESA data, UK universities' computing departments continue to suffer from a gender imbalance, where at present only 21% of students are female. This imbalance can...