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All Outputs (381)

Animal-selves in Inuit Dream-cultures (2024)
Presentation / Conference Contribution
Milne, L. (2021, November). Animal-selves in Inuit Dream-cultures. Paper presented at Humans and Animals: Paradoxes of Mutual Relationships, Online/St Petersburg, Russia

Arctic shamanism can be regarded as a specialised dream-culture, providing a framework wherein certain individuals could gain mastery by internalising the collective mythological system and aligning that with their own capacity to dream. The forms of... Read More about Animal-selves in Inuit Dream-cultures.

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.

Creative Informatics: how data driven innovation has transformed the creative workplace (2024)
Presentation / Conference Contribution
Panneels, I., & Patrick-Thomson, H. (2024, September). Creative Informatics: how data driven innovation has transformed the creative workplace. Presented at The 4th Transdisciplinary Workplace Research (TWR) Conference, Edinburgh, UK

The creative economy is powered by a workforce with a high proportion of freelancers and SMEs. This paper reflects on new ways of working, accelerated by the digital pivot of the creative workplace caused by the global pandemic. Whilst the impact of... Read More about Creative Informatics: how data driven innovation has transformed the creative workplace.

The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes (2024)
Presentation / Conference Contribution
Pijning, I., Koppenhol, L., Dijkzeul, D., Brouwer, N., Thomson, S. L., & van den Berg, D. (2024, November). The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes. Presented at ECTA 2024: 16th International Conference on Evolutionary Computation Theory and Applications, Porto, Portugal

The Frequency Fitness Assignment (FFA) method steers evolutionary algorithms by objective rareness instead of objective goodness. Does this mean the size of the combinatorial search space influences its performance when compared to more traditional e... Read More about The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes.

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.

Frequency Fitness Assignment: Optimization without Bias for Good Solution outperforms Randomized Local Search on the Quadratic Assignment Problem (2024)
Presentation / Conference Contribution
Chen, J., Wu, Z., Thomson, S. L., & Weise, T. (2024, November). Frequency Fitness Assignment: Optimization without Bias for Good Solution outperforms Randomized Local Search on the Quadratic Assignment Problem. Presented at ECTA 2024: 16th International Conference on Evolutionary Computation Theory and Applications, Porto, Portugal

The Quadratic Assignment Problem (QAP) is one of the classical N P-hard tasks from operations research with a history of more than 65 years. It is often approached with heuristic algorithms and over the years, a multitude of such methods has been app... Read More about Frequency Fitness Assignment: Optimization without Bias for Good Solution outperforms Randomized Local Search on the Quadratic Assignment Problem.

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.

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.

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.

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.

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.

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.

Contextualisation of an unpublished document as text collage: Tate Jukka and Pekka (2016) (2024)
Presentation / Conference Contribution
Turtola, N. (2023, November). Contextualisation of an unpublished document as text collage: Tate Jukka and Pekka (2016). Presented at AOR2023: The eighth Art of Research conference 2023 - “Re-Imagining, Aalto University, Espoo, Finland

The purpose of this article is to contextualise an unpublished document titled Tate Jukka and Pekka (2016) through the method of experimental writing: text collage. Contextualisation happens through a literature review, re-visioning and returning to... Read More about Contextualisation of an unpublished document as text collage: Tate Jukka and Pekka (2016).

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.

An investigation of the rotation patterns of international association meetings and events (2024)
Presentation / Conference Contribution
Drake, C., Lockstone-Binney, L., Robertson, M., & Thi Phuong Dung, L. (2024, February). An investigation of the rotation patterns of international association meetings and events. Presented at The 34th Annual Council for Australasian Tourism and Hospitality Education (CAUTHE) Conference, Hobart, Tasmania

International association meetings and events (IAMEs) are a significant segment of the business events sector. Noting the dearth of longitudinal research to confirm how these events rotate globally, regionally and over time, this study conducted an a... Read More about An investigation of the rotation patterns of international association meetings and events.

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.

Autonomous Queue Management System in Software-defined Routers for Sensor Networks (2024)
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Karantzalos, K., Gursu, K., Ozdem, M., Buchanan, W. J., & Canberk, B. (2024, November). Autonomous Queue Management System in Software-defined Routers for Sensor Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

Recent advancements in sensor networks, the In-ternet of Things (IoT), and machine communication technologies have led to a significant increase in network traffic across various domains. However, this growth has brought forth the critical challenge... Read More about Autonomous Queue Management System in Software-defined Routers for Sensor Networks.

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.