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...
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 (41-50). 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...
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...
Evaluating Colour in Concept Diagrams
Conference Proceeding
McGrath, S., Blake, A., Stapleton, G., Touloumis, A., Chapman, P., Jamnik, M., & Shams, Z. (2022)
Evaluating Colour in Concept Diagrams. In Diagrammatic Representation and Inference: 13th International Conference, Diagrams 2022, Rome, Italy, September 14–16, 2022, Proceedings (168-184). https://doi.org/10.1007/978-3-031-15146-0_14
This paper is the first to establish the impact of colour on users' ability to interpret the informational content of concept diagrams, a logic designed for ontology engineeri...
Participant-centred planning framework for effective gender balance activities in tech
Conference Proceeding
Taylor-Smith, E., Barnett, C., Smith, S., Barr, M., & Shankland, C. (2022)
Participant-centred planning framework for effective gender balance activities in tech. In UKICER '22: Proceedings of the 2022 Conference on United Kingdom & Ireland Computing Education Research. https://doi.org/10.1145/3555009.3555016
The gender imbalance in the tech industry [21], mirrored in computing education [13], is problematic in terms of providing appropriate products and services for the whole popu...
Evolutionary Approaches to Improving the Layouts of Instance-Spaces
Conference Proceeding
Sim, K., & Hart, E. (2022)
Evolutionary Approaches to Improving the Layouts of Instance-Spaces. In Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022 (207-219). https://doi.org/10.1007/978-3-031-14714-2_15
We propose two new methods for evolving the layout of an instance-space. Specifically we design three different fitness metrics that seek to: (i) reward layouts which place in...
A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem
Conference Proceeding
Marrero, A., Segredo, E., León, C., & Hart, E. (2022)
A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem. In Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022 (223-236). https://doi.org/10.1007/978-3-031-14714-2_16
We propose a new approach to generating synthetic instances in the knapsack domain in order to fill an instance-space. The method uses a novelty-search algorithm to search for...