Outputs (281)

What do Mental Health Nurses think and feel when the service user becomes their student nurse: Is it really ok not to be ok? Podcast to accompany poster (2022)
Presentation / Conference Contribution
Maile, C. (2022, September). What do Mental Health Nurses think and feel when the service user becomes their student nurse: Is it really ok not to be ok? Podcast to accompany poster. Presented at 28th International Mental Health Nursing Research Conference, Oxford

This podcast will talk the listener through the poster. The second half comprises short interviews with people who share their experiences of this emerging practice phenomenon.

Flexible Ontology-Driven Educational Apps and Social Media for Learners with a Disability (2022)
Presentation / Conference Contribution
Nganji, J. T., Brayshaw, M., & Gordon, N. (2022, June). Flexible Ontology-Driven Educational Apps and Social Media for Learners with a Disability. Presented at HCII 2022: Learning and Collaboration Technologies. Designing the Learner and Teacher Experience

This paper explores how to build ontology-driven learning systems from a flexible disability-aware mentality and augment them into a learning blend that embraces social media. The approach emphasizes the use of user centered flexible software in a bl... Read More about Flexible Ontology-Driven Educational Apps and Social Media for Learners with a Disability.

The Role of Gamification in a Software Development Lifecycle (2021)
Presentation / Conference Contribution
Gordon, N., Brayshaw, M., Dixon, J., Grey, S., & Parker, D. (2021, June). The Role of Gamification in a Software Development Lifecycle. Presented at INSPIRE XXVI International e-conference, Online

Teaching Software Engineering students raises a number of challenges; in particular that student developers typically demonstrate behaviours that run counter to good software development. These include failing to plan properly, failing to develop the... Read More about The Role of Gamification in a Software Development Lifecycle.

Noise reduction of enhanced acoustic balconies on a high-rise building block (2021)
Presentation / Conference Contribution
Tang, S. K., Yip, S. S., & Lee, R. Y. (2021, August). Noise reduction of enhanced acoustic balconies on a high-rise building block. Presented at InterNoise21, Washington, D.C., USA

Device called”enhanced acoustic balcony” is installed in a public housing development in Hong Kong. It is intended to help mitigate the impact of traffic noise on the residents. This balcony is basically an enlarged form of a plenum window allowing a... Read More about Noise reduction of enhanced acoustic balconies on a high-rise building block.

Plastics-Free - Would you choose a paper bag? (2021)
Presentation / Conference Contribution
Collins, C. (2021, July). Plastics-Free - Would you choose a paper bag?. Paper presented at Energy and Environment Institute Colloquium 2021, University of Hull

Do you ever find yourself standing in the supermarket trying to decide whether it is better to buy milk in a glass bottle, plastic bottle or a tetrapak? Plastic-Free July is celebrating its 10th Anniversary this year, a movement to encourage the sw... Read More about Plastics-Free - Would you choose a paper bag?.

Is Carbon Capture a Viable Solution to Decarbonise the Shipping Industry? (2021)
Presentation / Conference Contribution
Font Palma, C. (2021, June). Is Carbon Capture a Viable Solution to Decarbonise the Shipping Industry?. Presented at TCCS-11. The 11th Trondheim Conference on Carbon Capture, Transport and Storage, virtual

This work presents some insights into two different options for onboard carbon capture and storage (OCCS). Previous studies have shown that solvent-based carbon capture is feasible, and that the new equipment installed for CO2 capture would not debil... Read More about Is Carbon Capture a Viable Solution to Decarbonise the Shipping Industry?.

Comparison of performance of alternative post combustion carbon capture processes for a biogas fueled micro gas turbine (2021)
Presentation / Conference Contribution
Font-Palma, C., Lychnos, G., Somehsaraei, H. N., Willson, P., & Assadi, M. (2020, September). Comparison of performance of alternative post combustion carbon capture processes for a biogas fueled micro gas turbine. Presented at ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition

Copyright © 2020 ASME The urgent need to decrease greenhouse gases (GHG) has prompted countries such as the UK and Norway to commit to net zero emissions by 2050 and 2030, respectively. One of the sectors contributing to GHG emissions is agriculture,... Read More about Comparison of performance of alternative post combustion carbon capture processes for a biogas fueled micro gas turbine.

Identifying Gaps in Cybersecurity Teaching and Learning (2020)
Presentation / Conference Contribution
Brayshaw, M., Gordon, N., & Karatazgianni, A. (2020, July). Identifying Gaps in Cybersecurity Teaching and Learning. Presented at INSPIRE XXV : e-Learning as a solution during unprecedented times in the 21st Century

This paper explores perceptions and expectations of privacy when using computer-mediated communication and social media. In this paper we present the results of an empirical survey into this topic and explore the pedagogic implications for the teachi... Read More about Identifying Gaps in Cybersecurity Teaching and Learning.

Refining the Teaching of Programming (2020)
Presentation / Conference Contribution
Gordon, N., Cargill, M., Grey, S., & Brayshaw, M. (2020, July). Refining the Teaching of Programming. Presented at INSPIRE XXV: e-Learning as a Solution during Unprecedented Times in the 21st Century, Online

This paper considers issues around the teaching of programming, a critical yet challenging part of the computing education at all levels. This paper begins by outlining some of the key concerns around computing education-from secondary school, throug... Read More about Refining the Teaching of Programming.

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease (2020)
Presentation / Conference Contribution
Rana, S. S., Ma, X., Pang, W., & Wolverson, E. (2020, December). A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. Presented at 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Leicester, United Kingdom

Mild cognitive impairment (MCI) has been described as the intermediary stage before Alzheimer's Disease - many people however remain stable or even demonstrate improvement in cognition. Early detection of progressive MCI (pMCI) therefore can be utili... Read More about A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease.

Comparative review of pipelines monitoring and leakage detection techniques (2020)
Presentation / Conference Contribution
Aljuaid, K. G., Albuoderman, M. A., Alahmadi, E. A., & Iqbal, J. (2020, October). Comparative review of pipelines monitoring and leakage detection techniques. Presented at 2nd International Conference on Computer and Information Sciences (ICCIS), Sakaka, Saudi Arabia

The oil and gas industry owns expensive and widely-spread assets. Any fault in this complex transportation network may result in accidents and/or huge losses thereby triggering various environmental and economic issues. Thus, real-time monitoring and... Read More about Comparative review of pipelines monitoring and leakage detection techniques.

Soundscape assessment: Towards a validated translation of perceptual attributes in different languages (2020)
Presentation / Conference Contribution
Aletta, F., Oberman, T., Axelsson, Ö., Xie, H., Zhang, Y., Lau, S. K., Tang, S. K., Jambrošic, K., de Coensel, B., van den Bosch, K., Aumond, P., Guastavino, C., Lavandier, C., Fiebig, A., Schulte-Fortkamp, B., Sarwono, J., Sudarsono, A., Astolfi, A., Nagahata, K., Jeon, J. Y., …Kang, J. (2020, August). Soundscape assessment: Towards a validated translation of perceptual attributes in different languages. Presented at INTER-NOISE 2020, Seoul, South Korea

The recently published ISO/TS 12913-2:2018 standard aims to provide researchers and practitioners around the world with a reliable questionnaire for soundscape characterization. The ISO Technical Specifications report protocols and attributes grounde... Read More about Soundscape assessment: Towards a validated translation of perceptual attributes in different languages.

A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, July). A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. Presented at 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK

© 2020 IEEE. Wind energy is one of the fastest-growing sustainable energy sources in the world but relies crucially on efficient and effective operations and maintenance to generate sufficient amounts of energy and reduce downtime of wind turbines an... Read More about A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines.

Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI. Presented at The Science of Making Torque from Wind (TORQUE 2020), Online, Netherlands

© 2020 Published under licence by IOP Publishing Ltd. Machine learning techniques have been widely used for condition-based monitoring of wind turbines using Supervisory Control & Acquisition (SCADA) data. However, many machine learning models, inclu... Read More about Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI.

SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures (2020)
Presentation / Conference Contribution
Aslansefat, K., Sorokos, I., Whiting, D., Tavakoli Kolagari, R., & Papadopoulos, Y. SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures. Presented at IMBSA: International Symposium on Model-Based Safety and Assessment, Lisbon

Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditionally committed to high safety standards that are not satisfied with... Read More about SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures.

An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems (2020)
Presentation / Conference Contribution
Bressan, L., de Oliveira, A. L., Campos, F., Papadopoulos, Y., & Parker, D. An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems. Presented at Model-Based Safety and Assessment 7th International Symposium, IMBSA 2020, Lisbon, Portugal

© 2020, Springer Nature Switzerland AG. Component-based approaches and software product lines have been adopted by industry to manage the diversity of configurations on safety-critical software. Safety certification demands compliance with standards.... Read More about An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems.

Failure Mode Reasoning in Model Based Safety Analysis (2020)
Presentation / Conference Contribution
Jahanian, H., Parker, D., Zeller, M., McIver, A., & Papadopoulos, Y. Failure Mode Reasoning in Model Based Safety Analysis. Presented at International Symposium on Model-Based Safety and Assessment, Lisbon, Portugal

© 2020, Springer Nature Switzerland AG. Failure Mode Reasoning (FMR) is a novel approach for analyzing failure in a Safety Instrumented System (SIS). The method uses an automatic analysis of an SIS program to calculate potential failures in parts of... Read More about Failure Mode Reasoning in Model Based Safety Analysis.

The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, August). The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines. Paper presented at Fragile Earth: Data Science for a Sustainable Planet. KDD 2020, Virtual Conference

The global pursuit towards sustainable development is leading to increased adaptation of renewable energy sources. Wind turbines are promising sources of clean energy, but regularly suffer from failures and down-times, primarily due to the complex en... Read More about The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines.

Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease (2020)
Presentation / Conference Contribution
Alabed, A., Kambhampati, C., & Gordon, N. Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease. Presented at Computing 2020, London

A great wealth of information is hidden in clinical datasets, which could be analyzed to support decision-making processes or to better diagnose patients. Feature selection is one of the data pre-processing that selects a set of input features by rem... Read More about Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease.

Realisation of a biocompatible diffraction grating using an ArF excimer laser (2020)
Presentation / Conference Contribution
Aesa, A. A., & Walton, C. D. Realisation of a biocompatible diffraction grating using an ArF excimer laser. Presented at First International Conference of Pure and Engineering Sciences (ICPES2020), Karbala, Iraq

We report the fabrication of a bio-compatible diffraction grating made out chitosan, a derivative of chitin. The diffraction grating has been realised by laser ablation using 193 nm excimer laser. Thin spun coated chitosan films 520 nm thick were use... Read More about Realisation of a biocompatible diffraction grating using an ArF excimer laser.