All Outputs (11181)

Library catalogue’s search interface: Making the most of subject metadata (2024)
Journal Article
Gnoli, C., Golub, K., Haynes, D., Salaba, A., Shiri, A., & Slavic, A. (2024). Library catalogue’s search interface: Making the most of subject metadata. Knowledge Organization, 51, 169-186. https://doi.org/10.5771/0943-7444-2024-3-169

This article addresses the underutilization of knowledge organization systems (KOS) elements in online library catalogues, hindering effective subject-based search and discovery. It highlights the International Society for Knowledge Organization's in... Read More about Library catalogue’s search interface: Making the most of subject metadata.

How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction (2024)
Presentation / Conference Contribution
Orme, M., Yu, Y., & Tan, Z. (2024, May). How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction. Presented at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy

This paper concerns the pressing need to understand and manage inappropriate language within the evolving human-robot interaction (HRI) landscape. As intelligent systems and robots transition from controlled laboratory settings to everyday households... Read More about How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction.

Convex neural network synthesis for robustness in the 1-norm (2024)
Presentation / Conference Contribution
Drummond, R., Guiver, C., & Turner, M. C. (2024, July). Convex neural network synthesis for robustness in the 1-norm. Presented at 6th Annual Learning for Dynamics & Control Conference, Oxford, England

With neural networks being used to control safety-critical systems, they increasingly have to be both accurate (in the sense of matching inputs to outputs) and robust. However, these two properties are often at odds with each other and a trade-off ha... Read More about Convex neural network synthesis for robustness in the 1-norm.

Digital Twins: Towards an Overarching Framework for the Built Environment (2024)
Journal Article
Bagireanu, A., Bros-Williamson, J., Duncheva, M., & Currie, J. (2024). Digital Twins: Towards an Overarching Framework for the Built Environment. Architectural and Environmental Engineering, 18(1), 1-11

Digital Twins (DTs) have entered the built environment from more established industries like aviation and manufacturing, although there has never been a common goal for utilising DTs at scale. Their assimilation into the built environment lacked its... Read More about Digital Twins: Towards an Overarching Framework for the Built Environment.

ICT Systems Security and Privacy Protection: 39th IFIP International Conference, SEC 2024, Edinburgh, UK, June 12–14, 2024, Proceedings (2024)
Book
Pitropakis, N., Katsikas, S., Furnell, S., & Markantonakis, K. (Eds.). (2024). ICT Systems Security and Privacy Protection: 39th IFIP International Conference, SEC 2024, Edinburgh, UK, June 12–14, 2024, Proceedings. Springer. https://doi.org/10.1007/978-3-031-65175-5

This book constitutes the proceedings of the 39th IFIP International Conference on ICT Systems Security and Privacy Protection, SEC 2024, held in Edinburgh, UK, during June 12–14, 2024.

The 34 full papers presented were carefully reviewed and sel... Read More about ICT Systems Security and Privacy Protection: 39th IFIP International Conference, SEC 2024, Edinburgh, UK, June 12–14, 2024, Proceedings.

Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development (2024)
Presentation / Conference Contribution
Tungli, T., & Meharg, D. (2024, September). Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development. Presented at The 4th Transdisciplinary Workplace Research (TWR) Conference, Edinburgh, UK

The inclusion of students with disabilities in tertiary education is rising globally, however research on their participation in out-of-classroom activities remains limited. This paper investigates the significance of out-of-classroom engagement for... Read More about Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development.

U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries (2024)
Presentation / Conference Contribution
Alcock, K. M., Goh, K., Beg, M., Melendi-Espina, S., & Hernaez, M. (2024, September). U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries. Poster presented at 2024 Frontiers in Optics + Laser Science meeting, Denver, Colorado , USA

This study develops a Polyethylenimine/Graphene Oxide thin film-based Lossy Mode Resonance U-shaped optical fiber sensor for lithium-ion battery temperature measurement. The study encourages further development of this device further as it compares w... Read More about U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries.

View from the (Virtual) Terraces: Football Fandom in Videogames (2024)
Presentation / Conference Contribution
Donald, I., & Reid, A. (2024, September). View from the (Virtual) Terraces: Football Fandom in Videogames. Presented at Video Game Cultures, Birmingham City University

Other is a concept that is fundamental to sports: the other team, other player(s), other fans. Football fans share a camaraderie and can enthuse a tribalism (Mangan, 1996) that is difficult to understand and replicate in the virtual world. Yet, that... Read More about View from the (Virtual) Terraces: Football Fandom in Videogames.

Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode (2024)
Presentation / Conference Contribution
Buchanan, W., Grierson, S., & Uribe, D. (2024, February). Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode. Presented at 10th International Conference on Information Systems Security and Privacy, Rome, Italy

Biometric data is often highly sensitive, and a leak of this data can lead to serious privacy breaches. Some of the most sensitive of this type of data relates to the usage of DNA data on individuals. A leak of this type of data without consent could... Read More about Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode.

A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development (2024)
Presentation / Conference Contribution
Peng, T., & Graham, H. (2024, July). A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development. Presented at DATA 2024: 13th International Conference on Data Science, Technology and Applications, Dijon, France

As data volumes grow, so too does our need and ability to analyse it. Cloud computing technologies offer a wide variety of options for analysing big data and make this ability available to anyone. However, the monetary implications for doing this in... Read More about A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development.

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.

Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties (2024)
Journal Article
Sukontasukkul, P., Komkham, S., Jamnam, S., Zhang, H., Fujikake, K., Puttiwongrak, A., & Hansapinyo, C. (2024). Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties. Civil Engineering Journal, 10(3), https://doi.org/10.28991/CEJ-2024-010-03-010

The conventional approach to achieving optimal printability and buildability in 3D printing mortar relies heavily on cement, which is both costly and environmentally detrimental due to substantial carbon emissions from its production. This study aims... Read More about Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties.

ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks (2024)
Journal Article
Momand, A., Jan, S. U., & Ramzan, N. (in press). ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks. Wireless Personal Communications, 136(4), 1981-2003. https://doi.org/10.1007/s11277-024-11260-7

This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion detection in the Internet of Things (IoT). The proposed ABCNN employs an attention mechanism that aids in the learning process for low-instance classes. On the... Read More about ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks.

Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices (2024)
Journal Article
Watt, T., Chrysoulas, C., Barclay, P. J., El Boudani, B., & Kalliatakis, G. (2024). Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices. Applied Sciences, 14(24), Article 11474. https://doi.org/10.3390/app142411474

Image classification usually requires connectivity and access to the cloud, which is often limited in many parts of the world, including hard-to-reach rural areas. Tiny machine learning (tinyML) aims to solve this problem by hosting artificial intell... Read More about Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices.

Evaluation and Structural Optimisation of 0.6 m Impulse Turbine in Dolphin Wave Energy Conversion Device Through Computational Fluid Dynamics and Generative Design (2024)
Journal Article
Szatkowski, S., Gonzalez Delgado, D., Jaen-Sola, P., & Oterkus, E. (2024). Evaluation and Structural Optimisation of 0.6 m Impulse Turbine in Dolphin Wave Energy Conversion Device Through Computational Fluid Dynamics and Generative Design. Journal of marine science and engineering, 12(12), Article 2259. https://doi.org/10.3390/jmse12122259

In this paper, the performance of an adapted design of a 0.6 m impulse turbine in a new wave energy conversion device—the Dolphin device—is evaluated. This study is focused on developing an optimised structure in order to maximise the potential of th... Read More about Evaluation and Structural Optimisation of 0.6 m Impulse Turbine in Dolphin Wave Energy Conversion Device Through Computational Fluid Dynamics and Generative Design.

A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus (2024)
Presentation / Conference Contribution
Khaddour, L., Obid, R., Yeboah, S., Osunsanmi, T., & Elhassnaoui, I. (2023, December). A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus. Presented at 5th International Conference on Advanced Technologies and Humanity (ICATH’2023), Rabat, Morocco

The escalation of both natural and man-made disasters globally has led to profound challenges for nations grappling with the aftermath, particularly in the provision of post-disaster emergency shelters. These shelters hold critical significance in di... Read More about A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus.

An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare (2024)
Journal Article
Ghani, A., Aina, A., & Hwang See, C. (2024). An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare. IoT, 5(4), 901-921. https://doi.org/10.3390/iot5040041

In the evolving landscape of computer vision, the integration of machine learning algorithms with cutting-edge hardware platforms is increasingly pivotal, especially in the context of disruptive healthcare systems. This study introduces an optimized... Read More about An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare.

Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series (2024)
Journal Article
Ryan, B., Hall, H., Wilson, M., & McGregor, I. (2024). Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series. Archives: The Journal of the British Records Association, 58(2), 123-153. https://doi.org/10.3828/archives.2024.3

The purpose of the empirical work discussed in this paper was to explore the theme of audience engagement with digitised archive data in different formats. A comparison is drawn between experiences of interacting with an archive presented as a narrat... Read More about Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series.

A True Random Number Generator Based On Race Hazard And Jitter Of Braided And Cross-Coupled Logic Gates Using FPGA (2024)
Journal Article
Ahmed, H. O., Kim, D., & Buchanan, B. (in press). A True Random Number Generator Based On Race Hazard And Jitter Of Braided And Cross-Coupled Logic Gates Using FPGA. IEEE Access, 12, 182943-182955. https://doi.org/10.1109/ACCESS.2024.3512419

In the contemporary digital landscape, security has become a vital element of our existence. The growing volume of sensitive information being stored and transmitted over networks necessitates the implementation of robust security measures. Cryptogra... Read More about A True Random Number Generator Based On Race Hazard And Jitter Of Braided And Cross-Coupled Logic Gates Using FPGA.

Artificial intelligence enabled smart mask for speech recognition for future hearing devices (2024)
Journal Article
Hameed, H., Lubna, Usman, M., Kazim, J. U. R., Assaleh, K., Arshad, K., Hussain, A., Imran, M., & Abbasi, Q. H. (2024). Artificial intelligence enabled smart mask for speech recognition for future hearing devices. Scientific Reports, 14(1), Article 30112. https://doi.org/10.1038/s41598-024-81904-y

In recent years, Lip-reading has emerged as a significant research challenge. The aim is to recognise speech by analysing Lip movements. The majority of Lip-reading technologies are based on cameras and wearable devices. However, these technologies h... Read More about Artificial intelligence enabled smart mask for speech recognition for future hearing devices.