All Outputs (2127)

Sand management and control in the energy transition: state-of-the-art and future directions. (2023)
Presentation / Conference Contribution
MAHON, R. 2023. Sand management and control in the energy transition: state-of-the-art and future directions. Presented at the 2023 Sand Management Network (SMN): beyond oil and gas; sand control, 25 May 2023, Bergen, Norway.

While oil continues to play a leading role in the world's energy mix, climate technologies and decarbonisation tools are required to accelerate the move towards net zero energy systems. Among these are Geothermal energy systems, Underground hydrogen... Read More about Sand management and control in the energy transition: state-of-the-art and future directions..

On the UK smart metering system and value of data for distribution system operators. (2023)
Presentation / Conference Contribution
NUMAIR, M., ABOUSHADY, A.A., FARRAG, M.E. and ELYAN, E. 2023. On the UK smart metering system and value of data for distribution system operators. In Proceedings of the 19th International conference on AC and DC power transmission 2023 (ACDC 2023), 1-3 March 2023, Glasgow, UK. IET conference proceedings, 2023(1). Stevenage: IET [online], pages 174-180. Available from: https://doi.org/10.1049/icp.2023.1326

The Smart Metering Implementation Programme (SMIP) is an ongoing energy infrastructure upgrade that is delivering 53 million smart electricity and gas meters for homes and small businesses in the UK. The programme is expected to deliver economic bene... Read More about On the UK smart metering system and value of data for distribution system operators..

Materials for molten salt facing parts: challenges and opportunities for nuclear thermochemical cycle electrolysis. (2023)
Presentation / Conference Contribution
FAISAL, N., RAJENDRAN, V., PRATHURU, A. and HOSSAIN, M. 2023. Materials for molten salt facing parts: challenges and opportunities for nuclear thermochemical cycle electrolysis. Presented at the 5th International conference on structural nano composites 2023 (NANOSTRUC 2023), 24-26 May 2023, Nicosia, Cyprus: [virtual event].

One of the important challenges is to develop coating materials for thermochemical containment vessels and pipes that encounters the highly corrosive and harsh environment produced by the molten salt at high temperature. The aim of this review is to... Read More about Materials for molten salt facing parts: challenges and opportunities for nuclear thermochemical cycle electrolysis..

Modelling, optimisation and analysis of tubular high temperature solid oxide steam electrolysis cell. (2023)
Presentation / Conference Contribution
KURUSHINA, V., SOMAN, A., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M., AMINI HORRI, B., CAI, Q. and FAISAL, N. 2023. Modelling, optimisation and analysis of tubular high temperature solid oxide steam electrolysis cell. Presented at the 36th Scottish fluid mechanics meetings, 24 May 2023, Glasgow, UK.

High temperature solid oxide steam electrolysis (HTSOSE) is an efficient and ecologically-friendly method of hydrogen production through conversion of the water substance into hydrogen and oxygen, using the heat and electrical energy. The HT SOSE is... Read More about Modelling, optimisation and analysis of tubular high temperature solid oxide steam electrolysis cell..

Understanding the causes of local disputes in paediatrics to develop pathways to dispute resolution in North East Scotland. [RCPCH Poster] (2023)
Presentation / Conference Contribution
SIVERS, S., DOWNIE, M., TAI, J., MORGAN, H., TURNER, S., HERD, F., WORDIE, A. and DONALD, A. 2023. Understanding the causes of local disputes in paediatrics to develop pathways to dispute resolution in North East Scotland. Presented at the 2023 Royal College of Paediatrics and Child Health conference (RCPCH 2023), 23-25 May 2023, Glasgow, UK.

Conflicts over the care of children with life-limiting conditions can reach the point where courts have to intervene,
but giving evidence causes distress, unwanted media attention and costs. The decision in Charlie Gard’s case in England
included a... Read More about Understanding the causes of local disputes in paediatrics to develop pathways to dispute resolution in North East Scotland. [RCPCH Poster].

A machine learning-based job forecasting and trend analysis system to predict future job markets using historical data. (2023)
Presentation / Conference Contribution
SENTHURVELAUTHAM, S. and SENANAYAKE, N. 2023. A machine learning-based job forecasting and trend analysis system to predict future job markets using historical data. In Proceedings of the 8th IEEE (Institute of Electrical and Electronics Engineers) International conference for convergence in technology 2023 (I2CT 2023), 7-9 April 2023, Lonavla, India. Piscataway: IEEE [online], 10126233. Available from: https://doi.org/10.1109/I2CT57861.2023.10126233

Over the last two decades, technological advancements have created more job markets and job opportunities than ever. With the ever-increasing demand, it has become vital for academic institutions and businesses to keep up with employment requirements... Read More about A machine learning-based job forecasting and trend analysis system to predict future job markets using historical data..

Materials and meta-data for thermochemical electrolysis. (2023)
Presentation / Conference Contribution
RAJENDRAN, V., MUTHUKRISHNAN, R., BALOGUN, Y., KURUSHINA, V., PRATHURU, A., HOSSAIN, M. and FAISAL, N.H. 2023. Materials and meta-data for thermochemical electrolysis. Presented at the 2023 Scotland's hydrogen economy and the chemical sciences, 23 May 2023, St Andrews, UK.

One of the important challenges is to develop coating materials for thermochemical containment vessels and pipes that encounters the highly corrosive and harsh environment produced by the molten salt at high temperature. Overall assessment based on t... Read More about Materials and meta-data for thermochemical electrolysis..

A study of the effect of open biomass burning aerosol on rainfall event over Malaysia by using EOF analysis. (2023)
Presentation / Conference Contribution
CHEN, Y., CHAN, A., YENN, T.F., OOI, C.G. and LI, L. 2023. A study of the effect of open biomass burning aerosol on rainfall event over Malaysia by using EOF analysis. IOP conference series: earth and environmental science [online], 1167: proceedings of the 2022 International conference on science and technology applications in climate change (STACLIM-2022), 29-30 November 2022, [virtual event], article number 012006. Available from: https://doi.org/10.1088/1755-1315/1167/1/012006

Significant biomass burning aerosols resulted from biomass burning activities from Sumatra and Kalimantan Island transported to Malaysia every year from August to October by the southeast monsoon. These transboundary haze changes the precipitation pa... Read More about A study of the effect of open biomass burning aerosol on rainfall event over Malaysia by using EOF analysis..

Digital art and activism: performance, protest, polities, technologies. (2023)
Presentation / Conference Contribution
DELAPPE, J., LEUZZI, L, BLACKWOOD, J., ZEĆO, M. and ZEILINGER, M. 2023. Digital art and activism: performance, protest, polities, technologies. Presented at the 28th International symposium on electronic art (ISEA2023): symbiosis, 16-21 May 2023, Paris, France. Hosted on YouTube [online]. Available from: https://www.youtube.com/watch?v=SyF1oQ3hIGQ

This panel, chaired by Laura Leuzzi, addresses diverse themes and approaches towards engaging emerging technologies in the context of digital art and activism encompassing notions of socially engaged art and art as social practice from practice-based... Read More about Digital art and activism: performance, protest, polities, technologies..

Art-activism and digital resistance: the case of Belarus. (2023)
Presentation / Conference Contribution
BLACKWOOD, J. 2023. Art-activism and digital resistance: the case of Belarus. [Video]. Presented at the 28th International symposium on electronic art (ISEA2023), 16-21 May 2023, Paris, France.

This paper was presented as part of a panel at ISEA2023 in Paris, on "Art, Technology and Social Change: Perspectives from The Digital Art and Activism Network", chaired by Professor Joseph de Lappe (University of Abertay) and Dr Laura Leuzzi (Sapien... Read More about Art-activism and digital resistance: the case of Belarus..

AI-powered vulnerability detection for secure source code development. (2023)
Presentation / Conference Contribution
RAJAPAKSHA, S., SENANAYAKE, J., KALUTARAGE, H. and AL-KADRI, M.O. 2023. AI-powered vulnerability detection for secure source code development. In Bella, G., Doinea, M. and Janicke, H. (eds.) Innovative security solutions for information technology and communications: revised selected papers of the 15th International conference on Security for information technology and communications 2022 (SecITC 2022), 8-9 December 2022, [virtual conference]. Lecture notes in computer sciences, 13809. Cham: Springer [online], pages 275-288. Available from: https://doi.org/10.1007/978-3-031-32636-3_16

Vulnerable source code in software applications is causing paramount reliability and security issues. Software security principles should be integrated to reduce these issues at the early stages of the development lifecycle. Artificial Intelligence (... Read More about AI-powered vulnerability detection for secure source code development..

Advanced persistent threats detection based on deep learning approach. (2023)
Presentation / Conference Contribution
EKE, H.N. and PETROVSKI, A. 2023. Advanced persistent threats detection based on deep learning approach. In Proceedings of the 6th IEEE (Institute of Electrical and Electronics Engineers) International conference on Industrial cyber physical systems international conference 2023 (ICPS 2023), 8-11 May 2023, Wuhan, China. Piscataway: IEEE [online], pages 1-10. Available from: https://doi.org/10.1109/ICPS58381.2023.10128062

Advanced Persistent Threats (APTs) have been a major challenge in securing both Information Technology (IT) and Operational Technology (OT) systems. APT is a sophisticated attack that masquerade their actions to navigates around defenses, breach netw... Read More about Advanced persistent threats detection based on deep learning approach..

Conceptual modelling of explanation experiences through the iSeeonto ontology. (2023)
Presentation / Conference Contribution
CARO-MARTÍNEZ, M., WIJEKOON, A., RECIO-GARCÍA, J.A., CORSAR, D. and NKISI-ORJI, I. 2022. Conceptual modelling of explanation experiences through the iSeeonto ontology. In Reuss, P. and Schönborn, J. (eds.) Workshop proceedings of the 30th International conference on case-based reasoning (ICCBR-WS 2022), 12-15 September 2022, Nancy, France. CEUR workshop proceedings, 3389. Aachen: CEUR-WS [online], pages 117-128. Available from: https://ceur-ws.org/Vol-3389/ICCBR_2022_Workshop_paper_86.pdf

Explainable Artificial Intelligence is a big research field required in many situations where we need to understand Artificial Intelligence behaviour. However, each explanation need is unique which makes it difficult to apply explanation techniques a... Read More about Conceptual modelling of explanation experiences through the iSeeonto ontology..

Introducing Clood CBR: a cloud based CBR framework. (2023)
Presentation / Conference Contribution
PALIHAWADANA, C., NKISI-ORJI, I., WIRATUNGA, N., CORSAR, D. and WIJEKOON, A. 2022. Introducing Clood CBR: a cloud based CBR framework. In Reuss, P. and Schönborn, J. (eds.) Workshop proceedings of the 30th International conference on case-based reasoning (ICCBR-WS 2022), 12-15 September 2022, Nancy, France. CEUR workshop proceedings, 3389. Aachen: CEUR-WS [online], pages 233-234. Available from: https://ceur-ws.org/Vol-3389/ICCBR_2022_Workshop_paper_108.pdf

CBR applications have been deployed in a wide range of sectors, from pharmaceuticals; to defence and aerospace to IoT and transportation, to poetry and music generation; for example. However, a majority of applications have been built using monolithi... Read More about Introducing Clood CBR: a cloud based CBR framework..

Explainable weather forecasts through an LSTM-CBR twin system. (2023)
Presentation / Conference Contribution
PIRIE, C., SURESH, M., SALIMI, P., PALIHAWADANA, C. and NANAYAKKARA, G. 2022. Explainable weather forecasts through an LSTM-CBR twin system. In Reuss, P. and Schönborn, J. (eds.) Workshop proceedings of the 30th International conference on case-based reasoning (ICCBR-WS 2022), 12-15 September 2022, Nancy, France. CEUR workshop proceedings, 3389. Aachen: CEUR-WS [online], pages 256-260. Available from: https://ceur-ws.org/Vol-3389/ICCBR_2022_XCBR_Challenge_RGU.pdf

In this paper, we explore two methods for explaining LSTM-based temperature forecasts using previous 14 day progressions of humidity and pressure. First, we propose and evaluate an LSTM-CBR twin system that generates nearest-neighbors that can be vis... Read More about Explainable weather forecasts through an LSTM-CBR twin system..

iSee: intelligent sharing of explanation experiences. (2023)
Presentation / Conference Contribution
MARTIN, K., WIJEKOON, A., WIRATUNGA, N., PALIHAWADANA, C., NKISI-ORJI, I., CORSAR, D., DÍAZ-AGUDO, B., RECIO-GARCÍA, J.A., CARO-MARTÍNEZ, M., BRIDGE, D., PRADEEP, P., LIRET, A. and FLEISCH, B. 2022. iSee: intelligent sharing of explanation experiences. In Reuss, P. and Schönborn, J. (eds.) Workshop proceedings of the 30th International conference on case-based reasoning (ICCBR-WS 2022), 12-15 September 2022, Nancy, France. CEUR workshop proceedings, 3389. Aachen: CEUR-WS [online], pages 231-232. Available from: https://ceur-ws.org/Vol-3389/ICCBR_2022_Workshop_paper_83.pdf

The right to an explanation of the decision reached by a machine learning (ML) model is now an EU regulation. However, different system stakeholders may have different background knowledge, competencies and goals, thus requiring different kinds of ex... Read More about iSee: intelligent sharing of explanation experiences..

Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition. (2023)
Presentation / Conference Contribution
ATTEYA, A.I. and ALI, D. 2023. Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition. Presented at the 2023 All-energy and dcarbonise conference, 10-11 May 2023, Glasgow, UK.

Hydrogen is described as one of the most indicative scenarios for meeting Scotland Net-Zero carbon ambition set out for 2045. According to the 2021 Scottish Government’s hydrogen policy statement, the target is to invest 5 GW of renewable and low-car... Read More about Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition..

Modelling, optimisation and analysis of tubular high temperature solid oxide steam electrolysis cell. (2023)
Presentation / Conference Contribution
KURUSHINA, V., SOMAN, A., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M., HORRI, B.A., CAI, Q. and FAISAL, N. 2023. Modelling, optimisation and analysis of tubular high temperature solid oxide steam electrolysis cell. Presented at the 2023 All-energy and dcarbonise conference, 10-11 May 2023, Glasgow, UK.

Developing electrolyser cells with enhanced hydrogen production and their scalable manufacturing can play an important role in enabling not only eco-friendly development but also cost-effective, reliable, and sustainable opportunities. Thermomechanic... Read More about Modelling, optimisation and analysis of tubular high temperature solid oxide steam electrolysis cell..

Bayesian optimized autoencoder for predictive maintenance of smart packaging machines. (2023)
Presentation / Conference Contribution
ARIFEEN, M. and PETROVSKI, A. 2023. Bayesian optimized autoencoder for predictive maintenance of smart packaging machines. In Proceedings of the 6th IEEE (Institute of Electrical and Electronics Engineers) International conference on Industrial cyber-physical systems 2023 (ICPS 2023), 8-11 May 2023, Wuhan, China. Piscataway: IEEE [online], 10128064. Available from: https://doi.org/10.1109/icps58381.2023.10128064

Smart packaging machines incorporate various components (blades, motors, films) to accomplish the packaging process and are involved in almost all types of the manufacturing industry. Proper maintenance and monitoring of the components over time can... Read More about Bayesian optimized autoencoder for predictive maintenance of smart packaging machines..

Ensemble common features technique for lightweight intrusion detection in industrial control system. (2023)
Presentation / Conference Contribution
OTOKWALA, U.J. and PETROVSKI, A. 2023. Ensemble common features technique for lightweight intrusion detection in industrial control system. In Proceedings of the 6th IEEE (Institute of Electrical and Electronics Engineers) International conference on Industrial cyber-physical systems 2023 (ICPS 2023), 8-11 May 2023, Wuhan, China. Piscataway: IEEE [online], 10128040. Available from: https://doi.org/10.1109/icps58381.2023.10128040

The integration of the Industrial Control System (ICS) with corporate intranets and the internet has exposed the previously isolated SCADA system to a wide range of cyber-attacks. Interestingly, the vulnerabilities in the Modbus protocol, with which... Read More about Ensemble common features technique for lightweight intrusion detection in industrial control system..