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All Outputs (11551)

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.

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.

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.

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.

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.

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.

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.

In Our Hands: Nepali Nature inspired climate solutions in the Anthropocene (2024)
Presentation / Conference Contribution
Panneels, I., Philips, R., Dhakal, S., Chitrakar, A., & Chitrakar, S. (2024, September). In Our Hands: Nepali Nature inspired climate solutions in the Anthropocene. Presented at Futuring Craft, Indian Ocean Triennial (IOTA24), Perth, Australia

This paper considers material based making practices as found in the traditional handicraft, contemporary crafts practices and design innovation communities in Nepal. Using case studies from the Road to COP26 Innovation Programme and In Our Hands pro... Read More about In Our Hands: Nepali Nature inspired climate solutions in the Anthropocene.

Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification (2024)
Presentation / Conference Contribution
Hasan, M. N., Toma, R. N., Jan, S. U., & Koo, I. (2024, October). Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification. Presented at 2024 15th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea

In the data analytics based IoT era, reliable sensor data is essential for maintaining the integrity and effectiveness of IoT applications. The reliability of sensor data can be compromised due to faults that that occur in the sensors and this faulty... Read More about Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification.

Case Study: Management of public irrigation systems in Morocco: Challenges and innovations for resilient agriculture (2024)
Book Chapter
Guemouria, A., Tanji, R., El-Harraki, W., Elhassnaoui, I., Chehbouni, A., Bouchaou, L., Pantsi, C., & Khaddour, L. (2024). Case Study: Management of public irrigation systems in Morocco: Challenges and innovations for resilient agriculture. In A. Silva Afonso, & J. Manuel Gonçalves (Eds.), Engineering, Water and Food Nexus (57-65). World Federation of Engineering Organizations

In Our Hands- Nepali Nature Inspired Climate Solutions In The Anthropocene (2024)
Presentation / Conference Contribution
Panneels, I., Phillips, R., Dhakal, S., Chitrakar, A., & Chitrakar, S. (2024, September). In Our Hands- Nepali Nature Inspired Climate Solutions In The Anthropocene. Presented at IOTA 2024, Bentley, Perth, Western Australia

This paper considers material based making practices as found in the traditional handicraft, contemporary crafts practices and design innovation communities in Nepal. Using case studies from the Road to COP26 Innovation Programme and In Our Hands pro... Read More about In Our Hands- Nepali Nature Inspired Climate Solutions In The Anthropocene.

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.

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.

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.

Using artificial intelligence tools to predict and alleviate poverty (2024)
Journal Article
Alturif, G., Saleh, W., El-Bary, A. A., & Osman, R. A. (2024). Using artificial intelligence tools to predict and alleviate poverty. Entrepreneurship and Sustainability Issues, 12(2), 400-413. https://doi.org/10.9770/b8436764898

This paper presents a thorough time series forecasting model intended to project future performance with respect to Sustainable Development Goal 1 (SDG 1) and the corresponding poverty index scores for the years 2024–2030, with a particular emphasis... Read More about Using artificial intelligence tools to predict and alleviate poverty.

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks (2024)
Presentation / Conference Contribution
Duran, K., Ozdem, M., Gursu, K., & Canberk, B. (2024, November). Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WFIoT2024), Ottawa, Canada

The dramatic increase in the number of smart services and their diversity poses a significant challenge in Internet of Things (IoT) networks: heterogeneity. This causes significant quality of service (QoS) degradation in IoT networks. In addition, th... Read More about Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks.

A Data Serialization-based Framework for Efficient IoT Management (2024)
Presentation / Conference Contribution
Huseynov, K., Cakir, L. V., Al-Shareeda, S., Özdem, M., & Canberk, B. (2024, November). A Data Serialization-based Framework for Efficient IoT Management. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

The Internet of Things (IoT) management relies on the efficient and timely transfer of data from sensors to applications. Processing required data transformations at the edge gateway introduces spatial complexity issues, particularly concerning resou... Read More about A Data Serialization-based Framework for Efficient IoT Management.