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Welcome to Edinburgh Napier Research Repository

The ‘Research Repository’ is the open access institutional repository of Edinburgh Napier University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests.

Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Repository Team at repository@napier.ac.uk



Latest Additions

Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion (2024)
Journal Article
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. (in press). Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion. International Journal of Productio

This paper introduces a novel methodology leveraging worker localisation data from ultrawide-band sensors to formulate alternative facility layouts aimed at minimising travel time and congestion in labour-intensive manufacturing systems. The system p... Read More about Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion.

‘Who do you think you are?’ A longitudinal study of Scotland’s destination management (2024)
Presentation / Conference Contribution
Anastasiadou, C., & Hejjas, K. (2024, June). ‘Who do you think you are?’ A longitudinal study of Scotland’s destination management. Presented at ATLAS Leisure & Tourism 2030: Navigating the Future, Breda, Netherlands

Organizational structures and models for destination management have been changing in response to disruptions in the operational environment (Dredge, 2016) requiring traditional DMOs to shift their organisational models, leadership behaviours and col... Read More about ‘Who do you think you are?’ A longitudinal study of Scotland’s destination management.

How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood (2024)
Journal Article
Broda, M., Popescu, C.-M., Poszwa, K., & Roszyk, E. (2024). How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood. Wood science and technology, 58(3), 1153-1180.

High variations in juvenile wood properties in the radial direction and its worse performance than mature wood make it less suitable for some applications and often treated as waste material. This study aimed to assess how thermal modification affect... Read More about How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood.

Smart-Textile-Based Electrochemical Capacitive Ionic Sensors for High-Performance Epidermal Electronics (2024)
Journal Article
Mavelil, A. T., Sam, V., Markapudi, P. R., Paul, F., Beg, M., & Manjakkal, L. (2024). Smart-Textile-Based Electrochemical Capacitive Ionic Sensors for High-Performance Epidermal Electronics. IEEE Sensors Letters, 8(7), Article 2000704. https://doi.org/10.

Recently, biomedical engineering has placed greater importance on wearable and disposable health-care monitoring devices. Various degradable biosensors have been developed to measure human parameters, such as temperature, pH, pressure, strain, and io... Read More about Smart-Textile-Based Electrochemical Capacitive Ionic Sensors for High-Performance Epidermal Electronics.

Clustering-Based Resource Management for Consumer Cost Optimization in IoT Edge Computing Environments (2024)
Journal Article
Denden, M., Jemmali, M., Boulila, W., Soni, M., Khan, F., & Ahmad, J. (online). Clustering-Based Resource Management for Consumer Cost Optimization in IoT Edge Computing Environments. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/tce.

Edge computing emerges as a pivotal model in the era of next-generation consumer electronics and the emerging challenges of multimodal data-driven decision-making. Specifically, edge computing offers an open computing architecture for the vast and di... Read More about Clustering-Based Resource Management for Consumer Cost Optimization in IoT Edge Computing Environments.