Outputs (1536)

Commonsense-enhanced Natural Language Generation for Human-Robot Interaction (2020)
Presentation / Conference Contribution
Gkatzia, D. (2020, December). Commonsense-enhanced Natural Language Generation for Human-Robot Interaction. Presented at 2nd Workshop on Natural Language Generation for Human-Robot Interaction (HRI 2020), Online

Commonsense is vital for human communication, as it allows us to make inferences without explicitly mentioning the context. Equipping robots with commonsense knowledge would lead to better communication between humans and robots and will allow robots... Read More about Commonsense-enhanced Natural Language Generation for Human-Robot Interaction.

A Fast Classification Approach to Upper-Limb Posture Recognition (2020)
Presentation / Conference Contribution
Wu, X., Jiang, Y., Liu, Q., Wu, H., & Liu, X. (2020, November). A Fast Classification Approach to Upper-Limb Posture Recognition. Presented at IEEE International Conferences on Cyber, Physical and Social Computing (CPSCom2020), Rhodes, Greece

TikTok as a tool for providing pastoral and academic support to student (2020)
Presentation / Conference Contribution
Kerr, G. (2020, December). TikTok as a tool for providing pastoral and academic support to student. Presented at Social Media for Learning in Higher Education Annual Conference, University of Strathclyde [Online]

This presentation explores TikTok as a platform for personal tutors in the higher education setting to provide pastoral and academic support to students. Young people are increasing using TikTok as a social media tool, but there is more to this app t... Read More about TikTok as a tool for providing pastoral and academic support to student.

'Need we Say More': Contemporary Responses to the Fairlight CMI (2020)
Presentation / Conference Contribution
Harkins, P. (2020, December). 'Need we Say More': Contemporary Responses to the Fairlight CMI. Paper presented at Sound Instruments and Sonic Cultures: An Interdisciplinary Conference, National Science & Media Museum, Bradford/Online

Often described as the first digital sampler, the Fairlight Computer Musical Instrument (CMI) was primarily a digital synthesizer and computer workstation. Launched in 1979, it was one of the technologies that were used to re-shape the practices of m... Read More about 'Need we Say More': Contemporary Responses to the Fairlight CMI.

Computing degree apprenticeships: An opportunity to address gender imbalance in the IT sector? (2020)
Presentation / Conference Contribution
Smith, S., Taylor-Smith, E., Fabian, K., Barr, M., Berg, T., Cutting, D., Paterson, J., Young, T., & Zarb, M. (2020, October). Computing degree apprenticeships: An opportunity to address gender imbalance in the IT sector?. Presented at Frontiers in Education, Upsala, Sweden

This paper explores the potential for new work-based apprenticeship degrees to encourage more women into computing degrees and the IT sector. In the UK, women are currently under-represented on computing courses. Meanwhile the IT industry requires mo... Read More about Computing degree apprenticeships: An opportunity to address gender imbalance in the IT sector?.

PoNW: A Secure and Scalable Proof-of-Notarized-Work Based Consensus Mechanism (2020)
Presentation / Conference Contribution
Abubakar, M., Jaroucheh, Z., Al-Dubai, A., & Buchanan, W. (2020, December). PoNW: A Secure and Scalable Proof-of-Notarized-Work Based Consensus Mechanism. Presented at ICVISP 2020: The 2020 4th International Conference on Vision, Image and Signal Processing, Bangkok

The original consensus algorithm-Proof of Work (PoW) has been widely utilized in the blockchain systems and is been adopted by many cryptocurrencies, such as Bitcoin and Ethereum, among many others. Nevertheless, the concept has received criticisms o... Read More about PoNW: A Secure and Scalable Proof-of-Notarized-Work Based Consensus Mechanism.

FaceMagic: Real-time Facial Detail Effects on Mobile (2020)
Presentation / Conference Contribution
Casas, L., Li, Y., & Mitchell, K. (2020, December). FaceMagic: Real-time Facial Detail Effects on Mobile. Presented at SA '20: SIGGRAPH Asia 2020, Online [Republic of Korea]

We present a novel real-time face detail reconstruction method capable of recovering high quality geometry on consumer mobile devices. Our system firstly uses a morphable model and semantic segmentation of facial parts to achieve robust self-calibrat... Read More about FaceMagic: Real-time Facial Detail Effects on Mobile.

Music classroom as the shifting ground for patriotism: National Anthem Law in Hong Kong (2020)
Presentation / Conference Contribution
Cheng, L. (2020, July). Music classroom as the shifting ground for patriotism: National Anthem Law in Hong Kong. Presented at 20th International Seminar of the ISME Commission on Policy: Culture, Media and Education, Online

Music as an expressive art form can convey meaning and carry emotional associations. It can promote universal values such as anti-war and equality, or political ideology including both pro- and anti-establishment sentiments. As a result, various coun... Read More about Music classroom as the shifting ground for patriotism: National Anthem Law in Hong Kong.

Fast Probabilistic Consensus with Weighted Votes (2020)
Presentation / Conference Contribution
Müller, S., Penzkofer, A., Ku´smierz, B., Camargo, D., & Buchanan, W. J. (2020, November). Fast Probabilistic Consensus with Weighted Votes. Presented at FTC 2020 - Future Technologies Conference 2020, Vancouver, Canada

The fast probabilistic consensus (FPC) is a voting consensus protocol that is robust and efficient in Byzantine infrastructure. We propose an adaption of the FPC to a setting where the voting power is proportional to the nodes reputations. We model t... Read More about Fast Probabilistic Consensus with Weighted Votes.

Research Impact Value and Library and Information Science (RIVAL): development, implementation and outcomes of a Scottish network for LIS researchers and practitioners (2020)
Presentation / Conference Contribution
Hall, H., & Ryan, B. (2020, October). Research Impact Value and Library and Information Science (RIVAL): development, implementation and outcomes of a Scottish network for LIS researchers and practitioners. Presented at 83rd Annual Meeting of the Association for Information Science and Technology (ASIS&T)

The research-practice gap in Library and Information Science (LIS) is well documented, especially in respect of the difficulties of translating research into practice, and resultant lost opportunities. While many researchers attempt to explain this r... Read More about Research Impact Value and Library and Information Science (RIVAL): development, implementation and outcomes of a Scottish network for LIS researchers and practitioners.

A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network (2020)
Presentation / Conference Contribution
Thomson, C., Wadhaj, I., Al-Dubai, A., & Tan, Z. (2020, April). A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network. Presented at IEEE 6th World Forum on Internet of Things, New Orleans, Louisiana, USA

The issue of energy holes, or hotspots, in wireless sensor networks is well referenced. As is the proposed mobilisa-tion of the sink node in order to combat this. However, as the sink node shall still pass some nodes more closely and frequently than... Read More about A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network.

Visual Encodings for Networks with Multiple Edge Types (2020)
Presentation / Conference Contribution
Vogogias, T., Archambault, D. W., Bach, B., & Kennedy, J. (2020, October). Visual Encodings for Networks with Multiple Edge Types. Presented at International Conference on Advanced Visual Interfaces, Napkes, Italy

This paper reports on a formal user study on visual encodings of networks with multiple edge types in adjacency matrices. Our tasks and conditions were inspired by real problems in computational biology. We focus on encodings in adjacency matrices, s... Read More about Visual Encodings for Networks with Multiple Edge Types.

A Distributed Trust Framework for Privacy-Preserving Machine Learning (2020)
Presentation / Conference Contribution
Abramson, W., Hall, A. J., Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2020, September). A Distributed Trust Framework for Privacy-Preserving Machine Learning. Presented at The 17th International Conference on Trust, Privacy and Security in Digital Business - TrustBus2020, Bratislava, Slovakia

When training a machine learning model, it is standard procedure for the researcher to have full knowledge of both the data and model. However, this engenders a lack of trust between data owners and data scientists. Data owners are justifiably reluct... Read More about A Distributed Trust Framework for Privacy-Preserving Machine Learning.

Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples (2020)
Presentation / Conference Contribution
Babaagba, K., Tan, Z., & Hart, E. (2020, July). Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. Presented at The 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020), Glasgow, UK

Detecting metamorphic malware provides a challenge to machine-learning models as trained models might not generalise to future mutant variants of the malware. To address this, we explore whether machine-learning models can be improved by augmenting t... Read More about Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples.

Props Alive: A Framework for Augmented Reality Stop Motion Animation (2020)
Presentation / Conference Contribution
Casas, L., Kosek, M., & Mitchell, K. (2017, March). Props Alive: A Framework for Augmented Reality Stop Motion Animation. Presented at 2017 IEEE 10th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS), Los Angeles, CA, USA

Stop motion animation evolved in the early days of cinema with the aim to create an illusion of movement with static puppets posed manually each frame. Current stop motion movies introduced 3D printing processes in order to acquire animations more ac... Read More about Props Alive: A Framework for Augmented Reality Stop Motion Animation.

Trust-based Ecosystem to Combat Fake News (2020)
Presentation / Conference Contribution
Jaroucheh, Z., Alissa, M., & Buchanan, W. J. (2020, May). Trust-based Ecosystem to Combat Fake News. Presented at 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Toronto, ON, Canada

The growing spread of misinformation and dis-information has grave political, social, ethical, and privacy implications for society. Therefore, there is an ethical need to combat the flow of fake news. This paper attempts to resolves some of the aspe... Read More about Trust-based Ecosystem to Combat Fake News.

High Performance Metasurface-Based On-Chip Antenna for Terahertz Integrated Circuits (2020)
Presentation / Conference Contribution
Alibakhshikenari, M., Virdee, B. S., See, C. H., A. Abd-Alhameed, R., Falcone, F., & Limiti, E. (2020, July). High Performance Metasurface-Based On-Chip Antenna for Terahertz Integrated Circuits. Presented at 2020 Third International Workshop on Mobile Terahertz Systems (IWMTS), Essen, Germany

This paper presents a simple prototype of a metasurface-based on-chip antenna operating in 0.3-0.32 THz. The proposed structure is constructed from two layers of polyimide-substrates with thickness of 0.1mm that sandwich a middle metallic ground-plan... Read More about High Performance Metasurface-Based On-Chip Antenna for Terahertz Integrated Circuits.

A mechanism to promote social behaviour in household load balancing (2020)
Presentation / Conference Contribution
Brooks, N. A., Powers, S. T., & Borg, J. M. (2020, July). A mechanism to promote social behaviour in household load balancing. Presented at The 2020 Conference on Artificial Life, Montreal, Canada

Reducing the peak energy consumption of households is essential for the effective use of renewable energy sources, in order to ensure that as much household demand as possible can be met by renewable sources. This entails spreading out the use of hig... Read More about A mechanism to promote social behaviour in household load balancing.

Using Amazon Alexa APIs as a Source of Digital Evidence (2020)
Presentation / Conference Contribution
Krueger, C., & Mckeown, S. (2020, June). Using Amazon Alexa APIs as a Source of Digital Evidence. Presented at International Conference on Cyber Incident Response, Coordination, Containment & Control (Cyber Incident 2020), Dublin, Ireland

With the release of Amazon Alexa and the first Amazon Echo device, the company revolutionised the smart home. It allowed their users to communicate with, and control, their smart home ecosystem purely using voice commands. However, this also means th... Read More about Using Amazon Alexa APIs as a Source of Digital Evidence.

Forensic Considerations for the High Efficiency Image File Format (HEIF) (2020)
Presentation / Conference Contribution
Mckeown, S., & Russell, G. (2020, June). Forensic Considerations for the High Efficiency Image File Format (HEIF). Presented at International Conference on Cyber Incident Response, Coordination, Containment & Control (Cyber Incident 2020), Dublin, Ireland

The High Efficiency File Format (HEIF) was adopted by Apple in 2017 as their favoured means of capturing images from their camera application, with Android devices such as the Galaxy S10 providing support more recently. The format is positioned to re... Read More about Forensic Considerations for the High Efficiency Image File Format (HEIF).