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All Outputs (4095)

Sonification of Planetary Orbits in Asteroid Belts (2021)
Presentation / Conference Contribution
Quinton, M., Mcgregor, I., & Benyon, D. (2021, September). Sonification of Planetary Orbits in Asteroid Belts. Presented at Audio Mostly 2021, Trento, Italy

This study investigates the design and evaluation of a sonification designed to detect any planets orbiting within an asteroid belt of an exosolar system. The interface was designed for an astronomer who studies this phenomenon. User centered design... Read More about Sonification of Planetary Orbits in Asteroid Belts.

A Blockchain Framework in Post-Quantum Decentralization (2021)
Journal Article
Saha, R., Kumar, G., Devgun, T., Buchanan, W., Thomas, R., Alazab, M., Kim, T.-H., & Rodrigues, J. (2023). A Blockchain Framework in Post-Quantum Decentralization. IEEE Transactions on Services Computing, 16(1), https://doi.org/10.1109/tsc.2021.3116896

The decentralization and transparency have provided wide acceptance of blockchain technology in various sectors through numerous applications. The claimed security services by blockchain have been proved using various cryptographic techniques, mainly... Read More about A Blockchain Framework in Post-Quantum Decentralization.

Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap (2021)
Journal Article
Litrico, M., Battiato, S., Tsaftaris, S. A., & Giuffrida, M. V. (2021). Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap. Journal of Imaging, 7(10), Article 198. https://doi.org/10.3390/jimaging7100198

This paper proposes a novel approach for semi-supervised domain adaptation for holistic regression tasks, where a DNN predicts a continuous value y∈R given an input image x. The current literature generally lacks specific domain adaptation approaches... Read More about Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap.

A Mamdani Type Fuzzy Inference System to Calculate Employee Susceptibility to Phishing Attacks (2021)
Journal Article
Lambat, Y., Ayres, N., Maglaras, L., & Ferrag, M. A. (2021). A Mamdani Type Fuzzy Inference System to Calculate Employee Susceptibility to Phishing Attacks. Applied Sciences, 11(19), Article 9083. https://doi.org/10.3390/app11199083

It is a well known fact that the weakest link in a cyber secure system is the people who configure, manage or use it. Security breaches are persistently being attributed to human error. Social engineered based attacks are becoming more sophisticated... Read More about A Mamdani Type Fuzzy Inference System to Calculate Employee Susceptibility to Phishing Attacks.

Modelling Individual Preferences to Study and Predict Effects of Traffic Policies (2021)
Presentation / Conference Contribution
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021, October). Modelling Individual Preferences to Study and Predict Effects of Traffic Policies. Presented at PAAMS: International Conference on Practical Applications of Agents and Multi-Agent Systems, Salamanca, Spain

Traffic can be viewed as a complex adaptive system in which systemic patterns arise as emergent phenomena. Global behaviour is a result of behavioural patterns of a large set of individual travellers. However, available traffic simulation models lack... Read More about Modelling Individual Preferences to Study and Predict Effects of Traffic Policies.

Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour (2021)
Presentation / Conference Contribution
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021, October). Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour. Presented at PAAMS: International Conference on Practical Applications of Agents and Multi-Agent Systems, Salamanca, Spain

AGADE Traffic is an agent-based traffic simulator that can be used to analyse purpose-driven travel behaviour of individuals that leads to the emergence of systemic patterns in mobility. The simulator uses semantic technology to model knowledge of in... Read More about Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour.

Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems (2021)
Presentation / Conference Contribution
Barclay, I., & Abramson, W. (2021, September). Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems. Presented at UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Online

Artificial Intelligence (AI) systems are being deployed around the globe in critical fields such as healthcare and education. In some cases, expert practitioners in these domains are being tasked with introducing or using such systems, but have littl... Read More about Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems.

Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots (2021)
Journal Article
Strathearn, C. (2021). Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots. Informatics, 8(4), Article 64. https://doi.org/10.3390/informatics8040064

This study employs a novel 3D engineered robotic eye system with dielectric elastomer actuator (DEA) pupils and a 3D sculpted and colourised gelatin iris membrane to replicate the appearance and materiality of the human eye. A camera system for facia... Read More about Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots.

Interactivity in Linear Diagrams (2021)
Presentation / Conference Contribution
Chapman, P. (2021, September). Interactivity in Linear Diagrams. Presented at Diagrams: International Conference on Theory and Application of Diagrams, Online

Linear diagrams have been shown to be an effective method for representing set-based data. Moreover, design principles have been empirically developed that, when followed, improve the efficacy of linear diagrams. These principles are task-independent... Read More about Interactivity in Linear Diagrams.

Information Literacy Workshops: Trials and tribulations of Public Engagement within a pandemic (2021)
Presentation / Conference Contribution
Brazier, D., Salzano, R., & Ryan, B. (2021, September). Information Literacy Workshops: Trials and tribulations of Public Engagement within a pandemic. Poster presented at European Conference on Information Literacy 2021, Bamberg, Germany

Project Aim: This internally funded Public Engagement| project was aimed at engaging the public of Edinburgh to provide learning opportunities on Information Literacy and online search best practice. Two in-person workshops were organised for March 2... Read More about Information Literacy Workshops: Trials and tribulations of Public Engagement within a pandemic.

Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model (2021)
Journal Article
Rabhi, B., Elbaati, A., Boubaker, H., Hamdi, Y., Hussain, A., & Alimi, A. M. (2021). Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model. Memetic Computing, 13, Article 459-475. https://doi.org/10.1007/s12293-021-00345-6

Online signals are rich in dynamic features such as trajectory chronology, velocity, pressure and pen up/down movements. Their offline counterparts consist of a set of pixels. Thus, online handwriting recognition accuracy is generally better than off... Read More about Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model.

Position Paper (2021)
Presentation / Conference Contribution
Wilson, M. (2021, July). Position Paper. Presented at 17th Workshop on Spoken Dialogue Systems for PhDs, PostDocs & New Researchers, Singapore [Online]

Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living (2021)
Journal Article
Saeed, U., Shah, S. Y., Shah, S. A., Ahmad, J., Alotaibi, A. A., Althobaiti, T., Ramzan, N., Alomainy, A., & Abbasi, Q. H. (2021). Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living. Electronics, 10(18), Article 2237. https://doi.org/10.3390/electronics10182237

Human activity monitoring is essential for a variety of applications in many fields, particularly healthcare. The goal of this research work is to develop a system that can effectively detect fall/collapse and classify other discrete daily living act... Read More about Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living.

Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia (2021)
Journal Article
Almomani, I., Ahmed, M., & Maglaras, L. (2021). Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia. PeerJ Computer Science, 7, Article e703. https://doi.org/10.7717/peerj-cs.703

The Saudi Arabia government has proposed different frameworks such as the CITC’s Cybersecurity Regulatory Framework (CRF) and the NCA’s Essential Cybersecurity Controls (ECC) to ensure data and infrastructure security in all IT-based systems. However... Read More about Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia.

A novel few-shot learning method for synthetic aperture radar image recognition (2021)
Journal Article
Yue, Z., Gao, F., Xiong, Q., Sun, J., Hussain, A., & Zhou, H. (2021). A novel few-shot learning method for synthetic aperture radar image recognition. Neurocomputing, 465, 215-227. https://doi.org/10.1016/j.neucom.2021.09.009

Synthetic aperture radar (SAR) image recognition is an important stage of SAR image interpretation. The standard convolutional neural network (CNN) has been successfully applied in the SAR image recognition due to its powerful feature extraction capa... Read More about A novel few-shot learning method for synthetic aperture radar image recognition.

Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks (2021)
Journal Article
Alissa, M., Lones, M. A., Cosgrove, J., Alty, J. E., Jamieson, S., Smith, S. L., & Vallejo, M. (2022). Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Computing and Applications, 34, 1433-1453. https://doi.org/10.1007/s00521-021-06469-7

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that causes abnormal movements and an array of other symptoms. An accurate PD diagnosis can be a challenging task as the signs and symptoms, particularly at an early stage, can be s... Read More about Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks.