All Outputs (11)

Design and optimal sizing of a hydrogen uninterruptable power supply (UPS) system for addressing residential power cutoffs. (2025)
Journal Article
ALI, D., STEWART, C., QADIR, K. and JALISI, I. 2025. Design and optimal sizing of a hydrogen uninterruptable power supply (UPS) system for addressing residential power cutoffs. Hydrogen [online], 6(1), article number 3. Available from: https://doi.org/10.3390/hydrogen6010003

Hydrogen (H2) offers a green medium for storing the excess from renewables production instead of dumping it, thus being crucial to decarbonisation efforts. Hydrogen also offers a storage medium for the grid's cheap electricity to be used during grid... Read More about Design and optimal sizing of a hydrogen uninterruptable power supply (UPS) system for addressing residential power cutoffs..

Machine learning based underwater optical-acoustic communications channel switching for throughput improvement. (2024)
Presentation / Conference Contribution
STEWART, C., MUHAMMAD, A., FUNG, W.-K., FOUGH, N. and PRABHU, R. 2024. Machine learning based underwater optical-acoustic communications channel switching for throughput improvement. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 46-51. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765751

Underwater Wireless Optical Communication (UWOC) is at the cutting edge of subsea networking, offering high capacity, low-latency, energy-efficient connectivity that offers many advantages over the acoustic standard which has been embedded in submers... Read More about Machine learning based underwater optical-acoustic communications channel switching for throughput improvement..

Evaluating the impact of ranging error in underwater localization using SAR satellite data. (2024)
Presentation / Conference Contribution
MUHAMMAD, A., STEWART, C., FOUGH, N. and KANNAN, S. 2024. Evaluating the impact of ranging error in underwater localization using SAR satellite data. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 40-45. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765665

The study evaluated the impact of ranging error in underwater localization processes using SAR satellite data within the framework of Underwater Wireless Sensor Networks (UWSN). By integrating a pretrained ArcGIS deep learning model with SAR imagery,... Read More about Evaluating the impact of ranging error in underwater localization using SAR satellite data..

Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. (2023)
Presentation / Conference Contribution
STEWART, C., FOUGH, N., ERDOGAN, N. and PRABHU, R. 2023. Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, Valletta, Malta. Piscataway: IEEE [online], pages 110-115. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317266

As the Internet of Things (IoT) continues to find new applications, there is academic and industrial interest in expanding these concepts to the oceanic environment where data is traditionally challenging to communicate wirelessly, establishing an Un... Read More about Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things..

Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication. (2023)
Presentation / Conference Contribution
STEWART, C., FOUGH, N. and PRABHU, R. 2023. Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication. In Bouma, H., Dijk, J., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Artificial intelligence for security and defence applications: proceedings of the 2023 SPIE joint Remote sensing and Security + defence conference (SPIE Sensor + Imaging 2023), 3-7 September 2023, Amsterdam, Netherlands. Proceedings of SPIE, 12742. Bellingham, WA: SPIE [online], paper 127420A. Available from: https://doi.org/10.1117/12.2685278

Underwater surveillance is inherently tricky to achieve. Even in the clearest waters, the visibility tends to be in the range of tens of meters. Normally, tethered Remotely Operated Vehicles (ROVs) with underwater cameras are used for underwater imag... Read More about Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication..

Multimodal, software defined networking for subsea sensing and monitoring. (2023)
Presentation / Conference Contribution
STEWART, C., FOUGH, N. and PRABHU, R. 2023. Multimodal, software defined networking for subsea sensing and monitoring. In Proceedings of the 2023 IEEE Oceanic Engineering Society conference and exposition (OCEANS 2023): blue ocean planet earth, 5-8 June 2023, Limerick, Ireland. Piscataway: IEEE [online], document number 10244664. Available from: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244664

The prevalence of oceanic industry and ocean borne interests has given rise to the concept of the Underwater Internet of Things as a vector for automation and data analytics in an environment hostile to anthropomorphic activity. Through the Internet... Read More about Multimodal, software defined networking for subsea sensing and monitoring..

Optical-fibre based sensors for monitoring offshore floating photovoltaic farms. (2023)
Presentation / Conference Contribution
STEWART, C., JOSEPH, C.S.J., JOHNY, J., ERDOGAN, N., FOUGH, N. and PRABHU, R. 2023. Optical fibre-based sensors for monitoring offshore floating photovoltaic farms. In Proceedings of 2023 IEEE Oceanic Engineering Society conference and exposition (OCEANS 2023): blue ocean planet earth, 5-8 June 2023, Limerick, Ireland. Piscataway: IEEE [online], document number 10244737. Available from: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244737

Solar photovoltaic farms are seeing increasing expansion into new domains (offshore) in order to harvest the sunlight as society pushes towards reaching Net Zero by 2050. However, photovoltaics are bound by physics, parameters such as temperature and... Read More about Optical-fibre based sensors for monitoring offshore floating photovoltaic farms..

Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data. (2023)
Presentation / Conference Contribution
STEWART, C., FUNG, WAI KEUNG, FOUGH, N. and PRABHU, R. 2023. Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data. In Proceedings of the 21st IEEE (Institute of Electrical and Electronics Engineers) Interregional NEWCAS conference 2023 (NEWCAS 2023), 26-28 June 2023, Edinburgh, UK. Piscataway: IEEE [online], article 10198101. Available from: https://doi.org/10.1109/NEWCAS57931.2023.10198101

Machine learning proliferates society and has begun changing medicine. This report covers an investigation into how Extremely Random Forests combined with Fast Fourier Transform feature extraction performed on two-dimensional time-series Epileptic Se... Read More about Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data..

A simulation into the physical and network layers of optical communication network for the subsea video surveillance of illicit activity. (2022)
Presentation / Conference Contribution
STEWART, C., FOUGH, N. and PRABHU, R. 2022. A simulation into the physical and network layers of optical communication network for the subsea video surveillance of illicit activity. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Counterterrorism, crime fighting, forensics, and surveillance technologies VI: proceedings of the 6th Counterterrorism, crime fighting, forensics, and surveillance technologies, co-located with SPIE (Society of Photo-optical Instrumentation Engineers) Security + defence conference 2022, 5-6 September 2022, Berlin, Germany. Proceedings of SPIE, 12275. Bellingham, WA: SPIE [online], article 1227508. Available from: https://doi.org/10.1117/12.2641374

Criminal activity is increasingly entering the ocean subsurface with acts such as illegal fishing and narco-submarining becoming points of contention. This among other illicit acts taking place in this domain imply a need for surveillance to render t... Read More about A simulation into the physical and network layers of optical communication network for the subsea video surveillance of illicit activity..

Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data. (2022)
Presentation / Conference Contribution
STEWART, C., FUNG, W.K., FOUGH, N. and PRABHU, R. 2022. Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data. In Valle, M., Lehmhus, D., Gianoglio, C. et al. (eds.) Advances in system-integrated intelligence: proceedings of the 6th International conference on system-integrated intelligence 2022 (SysInt 2022), 7-9 September 2022, Genova, Italy. Lecture notes in networks and systems (LNNS), 546. Cham: Springer [online], pages 679-688. Available from: https://doi.org/10.1007/978-3-031-16281-7_64

Artificial intelligence (AI) has a potential for impact in the diagnosis of neurological conditions, the academic consensus generally has a positive outlook regarding how AI can improve the care of stroke victims and those who suffer from neuro-degen... Read More about Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data..

An investigation into routing protocols for real-time sensing of subsurface oil wells. (2022)
Presentation / Conference Contribution
STEWART, C., FOUGH, N. and PRABHU, R. 2022. An investigation into routing protocols for real-time sensing of subsurface oil wells. In Valle, M., Lehmhus, D., Gianoglio, C. et al. (eds.) Advances in system-integrated intelligence: proceedings of the 6th International conference on system-integrated intelligence 2022 (SysInt 2022), 7-9 September 2022, Genova, Italy. Lecture notes in networks and systems (LNNS), 546. Cham: Springer [online], pages 689-699. Available from: https://doi.org/10.1007/978-3-031-16281-7_65

Pervasive computing has transformed society, and there is a desire to extend this mass data connectivity to the ocean, especially by energy companies seeking real-time sensor data from assets such as oil wells and pipelines. As evidenced by the Deepw... Read More about An investigation into routing protocols for real-time sensing of subsurface oil wells..