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Dynamic service of geographically dispersed time-sensitive demands (2024)
Journal Article
de Jong, N., Aslan, A., & Bakir, I. (2024). Dynamic service of geographically dispersed time-sensitive demands. Transportation Research Part C : Emerging Technologies, 163, Article 104625. https://doi.org/10.1016/j.trc.2024.104625

This paper presents a new framework that models the novel dynamic vehicle dispatch problem with holding costs (DVDPHC), which focuses on serving stochastic demands at geographically dispersed locations in a timely manner. This framework is applicable... Read More about Dynamic service of geographically dispersed time-sensitive demands.

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.

The Presidents of the Institute of Wood Science (2024)
Journal Article
True, A., Ridley-Ellis, D., Spear, M., & Ansell, M. P. (in press). The Presidents of the Institute of Wood Science. International Wood Products Journal, https://doi.org/10.1177/20426445241246844

The Institute of Wood Science (IWSc) represented the interests and knowledge of wood scientists and wood technologists in the UK and beyond between 1955 and 2009 when it merged with the Institute of Materials, Minerals and Mining (IOM3). In that time... Read More about The Presidents of the Institute of Wood Science.

Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains (2024)
Journal Article
Marrero, A., Segredo, E., Leon, C., & Hart, E. (online). Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains. Evolutionary Computation, https://doi.org/10.1162/evco_a_00350

Gathering sufficient instance data to either train algorithm-selection models or understand algorithm footprints within an instance space can be challenging. We propose an approach to generating synthetic instances that are tailored to perform well w... Read More about Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains.

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.

An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material (2024)
Journal Article
Alcock, K. M., Shearer, N., Santos, F. V., Cai, Z., & Goh, K. (2024). An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material. Applied Materials Today, 38, Article 102221. https://doi.org/10.1016/j.apmt.2024.102221

A proof-of-concept utilising Copper-Plated Polyurethane Foam (CPPF) and Phase Change Material (PCM) for passive thermal management of lithium-ion batteries is demonstrated in this study. The aim of this research is to assess the effectiveness of CPPF... Read More about An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material.

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.

Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated Applications (2024)
Journal Article
Nair, R., Mahdi, J., Amjad, O., Maree, K., Jain, A., Al-Dubai, A., Jaradat, S., Shyha, I., Trabelsi, M., Alothamn, B., & Shehata, N. (2024). Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated Applications. Journal of Electronic Materials, 53, 4155–4172. https://doi.org/10.1007/s11664-024-11097-7

In this study, both the optical and piezoelectric properties of polyvinylidene fluoride (PVDF) electrospun nanofibers were investigated at different needle-to-collector distances of the electrospinning process at constant applied high voltage. For pi... Read More about Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated Applications.

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.

Data as a potential path for the automotive aftersales business to remain active through and after the decarbonisation (2024)
Journal Article
Eslava-Bautista, J., & Beecroft, M. (2024). Data as a potential path for the automotive aftersales business to remain active through and after the decarbonisation. International Journal of Services Technology and Management, 29(1), 39-58. https://doi.org/10.1504/ijstm.2024.138262

Decarbonisation of transport implies transition and shift for many traditional businesses, one of which is the automotive aftersales. One of the strategies identified to address decarbonisation and meet GHG emissions targets is the adoption of Electr... Read More about Data as a potential path for the automotive aftersales business to remain active through and after the decarbonisation.

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.

Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things (2024)
Journal Article
Jan, S. R., Ghaleb, B., Tariq, U. U., Ali, H., Sabrina, F., & Liu, L. (2024). Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things. Electronics, 13(9), Article 1651. https://doi.org/10.3390/electronics13091651

The Internet of Things (IoT) has become a transformative technological infrastructure, serving as a benchmark for automating and standardizing various activities across different domains to reduce human effort, especially in hazardous environments. I... Read More about Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things.