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All Outputs (96)

Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing (2024)
Presentation / Conference Contribution
Babaghayou, M., Chaib, N., Maglaras, L., Yigit, Y., Ferrag, M. A., & Marsh, C. (2023, December). Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing. Presented at 16th EAI International Conference, WiCON 2023, Athens, Greece

In an era of rapidly evolving mobile computing, integrating satellite technologies with the Internet of Things (IoT) creates new communication and data management horizons. Our research focuses on the emerging challenge of efficiently managing heavy... Read More about Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing.

Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education (2024)
Presentation / Conference Contribution
Demeke, W. (2024, March). Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education. Presented at 12nd World Conference on Information Systems and Technologies, Lodz, Poland

This study delved into the intricate relationship between social media usage and academic outcomes among university students from diverse fields: en-gineering and art studies, health and social care studies, and business studies. The study employed a... Read More about Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education.

Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments (2024)
Presentation / Conference Contribution
Casas, L., Mitchell, K., Tamariz, M., Hannah, S., Sinclair, D., Koniaris, B., & Kennedy, J. (2024, May). Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments. Paper presented at SIGCHI GenAI in UGC Workshop, Honolulu, Hawaii

We consider practical and social considerations of collaborating verbally with colleagues and friends, not confined by physical distance, but through seamless networked telepresence to interactively create shared virtual dance environments. In respon... Read More about Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.

Power Consumption Analysis For Smarter Robotics Via Industry 4.0 Methods And Technologies RS HYu V2 (2024)
Presentation / Conference Contribution
Samson, R., Goh, K., Sankarraj, A., Gkanatsios, A., & Yu, H. (2023, September). Power Consumption Analysis For Smarter Robotics Via Industry 4.0 Methods And Technologies RS HYu V2. Presented at 2023 International Conference on Innovation of Communication and Information Technology (ICIEICT 2023), Madrid, Spain

This paper examines the opportunities to apply industry 4.0 technology to practical applications, with a specific focus on sustainability and resource efficiency in industrial environments. The main objective of this paper is to design and implement... Read More about Power Consumption Analysis For Smarter Robotics Via Industry 4.0 Methods And Technologies RS HYu V2.

Safer and Efficient Factory by Predicting Worker Trajectories using Spatio-Temporal Graph Attention Networks (2024)
Presentation / Conference Contribution
K, S. S. K., Vasantha, G., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Factory by Predicting Worker Trajectories using Spatio-Temporal Graph Attention Networks. Presented at IDETC-CIE International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington, DC

Occupational accidents in manufacturing industries pose a significant risk, necessitating advanced strategies to ensure worker safety and enhance operational productivity. The unpredictable nature of worker movements, influenced by varied tasks such... Read More about Safer and Efficient Factory by Predicting Worker Trajectories using Spatio-Temporal Graph Attention Networks.

Optimal DC link voltage stabilisation technique for a grid-connected PV system (2024)
Presentation / Conference Contribution
Khan, T., Kahwash, F., Ahmed, J., & Goh, K. (2024, September). Optimal DC link voltage stabilisation technique for a grid-connected PV system. Paper presented at ECCE Europe 2024, Darmstadt, Germany

The integration and utilisation of renewable energy resources (RES) have seen significant growth due to increased demand and environmental concerns. These RES resources are often integrated through a DC link. The stability and maintaining the DC link... Read More about Optimal DC link voltage stabilisation technique for a grid-connected PV system.

Participatory Explorations in the Techno-Spiritual (2024)
Presentation / Conference Contribution
Grandison, T. (2024, June). Participatory Explorations in the Techno-Spiritual. Presented at The 22nd European Conference on Computer-Supported Cooperative Work, Rimini, Italy

This exploratory paper presents a pilot study conducted with 64 undergraduate students at Edinburgh Napier University in November 2023. The aim of this study was to understand how people who do not necessarily identify as religious engaged in what th... Read More about Participatory Explorations in the Techno-Spiritual.

Playable Archive: The management of data in the FIFA/EA Sports franchise (2024)
Presentation / Conference Contribution
Donald, I. (2024, July). Playable Archive: The management of data in the FIFA/EA Sports franchise. Presented at DiGRA 2024, Guadalajara, Jalisco, México

The FIFA series (now known as EA Sports FC) of video games are football (soccer) sports simulation games that claim to provide “unrivaled authenticity” for fans (Escaravage and Ludlow 2023). EA releases a new version annually and each iteration routi... Read More about Playable Archive: The management of data in the FIFA/EA Sports franchise.

Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture (2024)
Presentation / Conference Contribution
Le Goff, L., & Hart, E. (2024, July). Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. Presented at GECCO 2024 Embodied and Evolved Artificial Intelligence Workshop, Melbourne, Australia

Algorithmic frameworks for the joint optimisation of a robot's design and controller often utilise a learning loop nested within an evolutionary algorithm to refine the controller associated with a newly generated robot design. Intuitively, it is rea... Read More about Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture.

Explaining evolutionary feature selection via local optima networks (2024)
Presentation / Conference Contribution
Adair, J., Thomson, S. L., & Brownlee, A. E. (2024, July). Explaining evolutionary feature selection via local optima networks. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We analyse fitness landscapes of evolutionary feature selection to obtain information about feature importance in supervised machine learning. Local optima networks (LONs) are a compact representation of a landscape, and can potentially be adapted fo... Read More about Explaining evolutionary feature selection via local optima networks.

Exploring the use of fitness landscape analysis for understanding malware evolution (2024)
Presentation / Conference Contribution
Babaagba, K., Murali, R., & Thomson, S. L. (2024, July). Exploring the use of fitness landscape analysis for understanding malware evolution. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We conduct a preliminary study exploring the potential of using fitness landscape analysis for understanding the evolution of malware. This type of optimisation is fairly new and has not previously been studied through the lens of landscape analysis.... Read More about Exploring the use of fitness landscape analysis for understanding malware evolution.

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins (2024)
Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Marzano, A., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins. Presented at 21st International Conference on Manufacturing Research (ICMR2024), Glasgow

This paper addresses a critical gap in digital twin simulation within manufacturing environments by focusing on the dynamic representation of worker movements during assembly processes. We introduce an innovative approach that utilizes Ultra-Wideband... Read More about Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins.

The digital Foley: what Foley artists say about using audio synthesis (2024)
Presentation / Conference Contribution
Di Donato, B., & McGregor, I. (2024, April). The digital Foley: what Foley artists say about using audio synthesis. Presented at 2024 AES 6th International Conference on Audio for Games, Tokyo, Japan

Foley is a sound production technique where organicity and authenticity in sound creation are key to fostering creativity. Audio synthesis, Artificial Intelligence (AI) and Interaction Design (IXD) have been explored by the community to investigate t... Read More about The digital Foley: what Foley artists say about using audio synthesis.

AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array (2024)
Presentation / Conference Contribution
Akinsolu, M. O., Al-Yasir, Y. I. A., Hua, Q., See, C., & Liu, B. (2024, March). AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array. Presented at EuCAP 2024, Glasgow, UK

Artificial intelligence (AI) is enabling the automated design of contemporary antennas for numerous applications. Specifically, the use of machine learning (ML)-assisted global optimization techniques for the efficient design of modern antennas is no... Read More about AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array.

BM TRADA Webinar Part 2: Machine Strength Grading (2024)
Presentation / Conference Contribution
Ridley-Ellis, D. (2024, April). BM TRADA Webinar Part 2: Machine Strength Grading. Presented at BM TRADA Technical Timber Webinars 2024, Online

Strength grading of solid timber – overcoming some common misconceptions. Slides covering machine strength grading, stamps, and EN1912 revision

Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances (2024)
Presentation / Conference Contribution
Verel, S., Thomson, S. L., & Rifki, O. (2024, April). Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances. Presented at EvoCOP 2024, Aberystwyth, UK

The Quadratic Assignment Problem (QAP) is one of the major domains in the field of evolutionary computation, and more widely in combinatorial optimization. This paper studies the phase transition of the QAP, which can be described as a dramatic chang... Read More about Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances.

Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios (2024)
Presentation / Conference Contribution
Huang, Z., Liu, X., Romdhani, I., & Shih, C. (2024, August). Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios. Presented at The 7th International Conference on Information Science and Systems (ICISS 2024), Edinburgh

This research presents a groundbreaking approach to Building Maintenance Management (BMM) by introducing an Intelligent Process Automation (IPA)-Driven Building Maintenance Management (IBMM) model. This innovative model harnesses the synergies betwee... Read More about Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios.

Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies (2024)
Presentation / Conference Contribution
Aliyu, B. D., Rohani, M. N. K. H., Musa, U., Sulaiman, S. H., Jibril, Y., Mas'ud, A. A., Muhammad-Sukki, F., & Jamil, A. I. M. (2024, March). Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies. Presented at 2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA 2024), Pulau Pinang, Malaysia

Partial discharge (PD) degrades the quality of insulation systems, and its impact becomes even more severe with ageing. Several studies have revealed PD activity to be environmental and test factors dependent. Among the several test factors, the exci... Read More about Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies.

Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration (2024)
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024, June). Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration. Presented at The 39th International Conference on ICT Systems Security and Privacy Protection (SEC 2024), Edinburgh

The perpetual evolution of cyberattacks, especially in the realm of Internet of Things (IoT) networks, necessitates advanced, adaptive, and intelligent defence mechanisms. The integration of expert knowledge can drastically enhance the efficacy of Io... Read More about Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration.