Professor Radhakrishna Prabhu's Outputs (104)

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..

Highly sensitive D-SPR sensors with optimized metallic thin films for bio-analyte detection. (2024)
Journal Article
EHIABHILI, J., PRABHU, R. and KANNAN, S. 2024. Highly sensitive D-SPR sensors with optimized metallic thin films for bio-analyte detection. Photonics [online], 11(8), article number 764. Available from: https://doi.org/10.3390/photonics11080764

There is a growing need for precise and rapid detection methods in fields such as biomedical diagnostics, environmental monitoring, and chemical analysis. Surface plasmon resonance (SPR) sensors have been used for the detection and quantification of... Read More about Highly sensitive D-SPR sensors with optimized metallic thin films for bio-analyte detection..

Nexus between building-integrated photovoltaics (BIPV) and cultural heritage: optical characterisation of screen-printed traditional symbols on solar cells. (2024)
Presentation / Conference Contribution
AWUKU, S.A., BENNADJI, A., MUHAMMAD-SUKKI, F., PRABHU, R. and SELLAMI, N. 2024. Nexus between building-integrated photovoltaics (BIPV) and cultural heritage: optical characterisation of screen-printed traditional symbols on solar cells. Engineering proceedings [online], 71(1): proceedings of the 4th Annual solar and wind power conference 2024 (ASWEC 2024): next generation of energy solution, 5 June 2024, [virtual conference], article number 9. Available from: https://doi.org/10.3390/engproc2024071009

This preliminary study adopts a screen-printing technique to transfer traditional Adinkra symbols onto monocrystalline solar cells. The study reveals that custom patterns for the top contact design of solar cells are achievable through direct screen-... Read More about Nexus between building-integrated photovoltaics (BIPV) and cultural heritage: optical characterisation of screen-printed traditional symbols on solar cells..

Tracking and estimation of surgical tool relative-pose and angle based on the vision system for surgical robot. (2024)
Presentation / Conference Contribution
MUTHUKRISHNAN, R., KANNAN, S., ZHAO, Y. and PRABHU, R. 2024. Tracking and estimation of surgical tool relative-pose and angle based on the vision system for sugical robot. Poster presented at the 3rd Medical device manufacturing centre annual conference 2024 (MDMC 2024), 23 May 2024, Glasgow, UK.

This research presents a Virtual Dynamic Tri crossbar and a Virtual Stable Graph (VDT VSG) which simplifies the task of tracing the needle angle and location in 2 D plane. In addition, Virtual Dynamic Line (helps to quantify the displacement between... Read More about Tracking and estimation of surgical tool relative-pose and angle based on the vision system for surgical robot..

Metal oxide modified tubular ceramic membrane for the separation of oil-in-water emulsion. (2024)
Thesis
AISUENI, F.A. 2024. Metal oxide modified tubular ceramic membrane for the separation of oil-in-water emulsion. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2445693

Separating lower concentrations of oil-in-water (O/W) emulsion (< 250 mg/l) and smaller oil droplet size (< 20 μm) has been an industry challenge using conventional methods, including adsorption, electrocoagulation, flocculation, bioremediation, cent... Read More about Metal oxide modified tubular ceramic membrane for the separation of oil-in-water emulsion..

Proposing an approach for the diffusion of building integrated photovoltaics (BIPVs): a case study. (2024)
Journal Article
AWUKU, S.A., BENNADJI, A., MUHAMMAD-SUKKI, F., PRABHU, R. and SELLAMI, N. 2024. Proposing an approach for the diffusion of building integrated photovoltaics (BIPVs): a case study. New energy exploitation and application [online], 3(1), pages 8-26. Available from: https://doi.org/10.54963/neea.v3i1.196

Consistent probing into building integrity has led to the exploration of clean energy options such as building integrated photovoltaic (BIPV). BIPV has proven to be aesthetically pleasing, architecturally feasible and capable of making buildings ener... Read More about Proposing an approach for the diffusion of building integrated photovoltaics (BIPVs): a case study..

Development of drilling optimization models for autonomous rotary drilling systems. (2023)
Thesis
AMADI, K.W. 2023. Development of drilling optimization models for autonomous rotary drilling systems. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2445718

The growing global energy demand and strict environmental policies motivate the use of technology and performance improvement techniques in drilling operations. Traditional drilling methods depend on the effectiveness of the human-driller in the mana... Read More about Development of drilling optimization models for autonomous rotary drilling systems..

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..

Vision based relative position estimation in surgical robotics. (2023)
Presentation / Conference Contribution
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Vision based relative position estimation in surgical robotics. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275973. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275973

Teleoperation-based Robotic-Assisted Minimally In-vasive Surgery (RAMIS) has gained immense popularity in medical field. However, limited physical interaction between the surgeon and patient poses a significant challenge. In RAMIS, the surgeon operat... Read More about Vision based relative position estimation in surgical robotics..

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..

Decision-support for decommissioning offshore platforms. (2023)
Thesis
EKE, E.C. 2023. Decision-support for decommissioning offshore platforms. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2270718

An estimated 2,500 offshore decommissioning projects are expected to be completed between 2018 and 2040 with significant accompanying challenges. In this research, a decision model for decommissioning offshore platforms is developed. The decommission... Read More about Decision-support for decommissioning offshore platforms..

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..

Detecting and tracking the position of suspicious objects using vision system. (2023)
Presentation / Conference Contribution
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y. and BHOWMICK, P. 2023. Detecting and tracking the position of suspicious objects using vision system. In Bouma, H., Dijk, J., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Artificial intelligence for security and defence applications: 2023 proceedings of the SPIE (International Society of Optics and photonics) Security and defence conference, 4-5 September 2023, Amsterdam, Netherlands. Proceedings of the SPIE, 12742. Bellingham, WA: SPIE [online], article ID 127420C. Available from: https://doi.org/10.1117/12.2679801

Vision-based object tracking is crucial for both civil and military applications. A range of hazards to cyber safety, vital infrastructure, and public privacy are posed by the rise of drones, or unmanned aerial vehicles (UAV). As a result, identifyin... Read More about Detecting and tracking the position of suspicious objects using vision system..

Tracking and estimation of surgical instrument position and angle in surgical robot using vision system. (2023)
Presentation / Conference Contribution
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Tracking and estimation of surgical instrument position and angle in surgical robot using vision system. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275983. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275983

A da Vinci robot endoscopic-camera gives surgeons a magnified 2D view of the operating area, but additional time is required to detect and estimate the location of the surgical-instrument during an operation. The main focus and novelty of this resear... Read More about Tracking and estimation of surgical instrument position and angle in surgical robot using vision system..

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..

Development of predictive optimization model for autonomous rotary drilling system using machine learning approach. (2023)
Journal Article
AMADI, K., IYALLA, I., PRABHU, R., ALSABA, M. and WALY, M. 2023. Development of predictive optimization model for autonomous rotary drilling system using machine learning approach. Journal of petroleum exploration and production technology [online], 13(10), pages 2049-2062. Available from: https://doi.org/10.1007/s13202-023-01656-9

The growing global energy demand and strict environmental policies motivate the use of technology and performance improvement techniques in drilling operations. In the traditional drilling method, the effort and time required to optimize drilling dep... Read More about Development of predictive optimization model for autonomous rotary drilling system using machine learning approach..

Tracking and estimation of surgical tool pose based on the vision system for surgical robot. (2023)
Presentation / Conference Contribution
MUTHUKRISHNAN, R., KANNAN, S., ZHAO, Y. and PRABHU, R. 2023. Tracking and estimation of surgical tool pose based on the vision system for surgical robot. Presented at the 2nd MDMC (Medical device manufacturing centre) annual conference 2023, 31 May 2023, Dundee, UK.

The aim of this research is to customise a surgical robot. This research presents a Virtual Dynamic Tri-crossbar and a Virtual Stable Graph (VDT-VSG) which simplifies the task of tracing the needle angle and location.

Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation. (2023)
Thesis
ADEGBOYE, M.A. 2023. Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071535

Pipelines are often subject to leakage due to ageing, corrosion and weld defects. It is difficult to avoid pipeline leakage as the sources of leaks are diverse. Various pipeline leakage detection methods, including fibre optic, pressure point analysi... Read More about Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation..

Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. (2022)
Presentation / Conference Contribution
ADEGBOYE, M.A., KARNIK, A., FUNG, W.-K. and PRABHU, R. 2022. Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. In Proceedings of the 9th International conference on soft computing and machine intelligence 2022 (ISCMI 2022), 26-27 November 2022, Toronto, Candada. Piscataway: IEEE [online], pages 129-134. Available from: https://doi.org/10.1109/iscmi56532.2022.10068436

Pipelines are often subject to leakage due to ageing, corrosion, and weld defects, and it is difficult to avoid as the sources of leakages are diverse. Several studies have demonstrated the applicability of the machine learning model for the timely p... Read More about Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation..