Dr Somasundar Kannan's Outputs (11)

Promptable sonar image segmentation for distance measurement using SAM. (2024)
Presentation / Conference Contribution
TOLIE, H.F., REN, J., HASAN, M.J., KANNAN, S. and FOUGH, N. 2024. Promptable sonar image segmentation for distance measurement using SAM. 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 229-233. Available from: https://doi.org/10.1109/metrosea62823.2024.10765703

The subsea environment presents numerous challenges for robotic vision, including non-uniform light attenuation, backscattering, floating particles, and low-light conditions, which significantly degrade underwater images. This degradation impacts rob... Read More about Promptable sonar image segmentation for distance measurement using SAM..

Securing underwater wireless communication with frequency-hopping spread spectrum. (2024)
Presentation / Conference Contribution
RAHMAN, K.U., FOUGH, N., MCDERMOTT, C.D., SUNDAS, R., BAIG, N. and KANNAN, S. 2024. Securing underwater wireless communication with frequency-hopping spread spectrum. 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 266-271. Available from: https://doi.org/10.1109/metrosea62823.2024.10765656

The significance of subsea communication has increased substantially, with growing interest in replacing wired communication with wireless alternatives. However, subsea communication faces several challenges due to the harsh environment, including hi... Read More about Securing underwater wireless communication with frequency-hopping spread spectrum..

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..

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..

Enhancing gas-pipeline monitoring with graph neural networks: a new approach for acoustic emission analysis under variable pressure conditions. (2024)
Presentation / Conference Contribution
HASAN, M.J., ARIFEEN, M., SOHAIB, M., ROHAN, A. and KANNAN, S. 2024. Enhancing gas pipeline monitoring with graph neural networks: a new approach for acoustic emission analysis under variable pressure conditions. To be published in Proceedings of the 20th International conference on condition monitoring and asset management 2024 (CM 2024), 18-20 June 2024, Oxford, UK. Northampton: BINDT [online], (accepted). To be made available at: https://doi.org/10.1784/cm2024.4b3

Traditional machine learning (ML) and deep learning (DL)-based acoustic emission (AE) data-driven condition monitoring models face several reliability issues due to factors such as fluid pressure changes, flange vibrations, inconsistent leak lengths,... Read More about Enhancing gas-pipeline monitoring with graph neural networks: a new approach for acoustic emission analysis under variable pressure conditions..

Solar-powered ROV: advancing underwater exploration with renewable energy. (2024)
Presentation / Conference Contribution
LAWAL, S.M., VALIZADEH, S., FOUGH, N. and KANNAN, S. 2024 Solar-powered ROV: advancing underwater exploration with renewable energy. In Proceedings of the 6th Global power, energy and communication conference 2024 (GPECOM2024), 4-6 June 2024, Budapest, Hungary. Piscataway: IEEE [online], pages 350-355. Available from: https://doi.org/10.1109/GPECOM61896.2024.10582562

Considering the importance of remotely operated vehicles (ROVs) in conducting inspections, data collection, and exploration beneath the sea surface, this paper proposes a solar-powered ROV solution. Solar power is employed to power the ROV/AUV, with... Read More about Solar-powered ROV: advancing underwater exploration with renewable energy..

Underwater localization using SAR satellite data. (2024)
Presentation / Conference Contribution
MUHAMMAD, A., FOUGH, N., KANNAN, S. and ZAHRIBAN HESARI, M. 2024. Underwater localization using SAR satellite data. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on metrology for industry 4.0 and IoT (IEEE MetroInd4.0&IoT 2024), 29-31 May 2024, Florence, Italy. Piscataway: IEEE [online], pages 82-87. Available from: https://doi.org/10.1109/MetroInd4.0IoT61288.2024.10584174

This study delves into the realm of Underwater Wireless Sensor Networks (UWSN) and explores contemporary methods of ocean exploration. It provides an extensive background on UWSN, detailing existing approaches to underwater localization. The study th... Read More about Underwater localization using SAR satellite data..

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..

A dynamic controller synthesis methodology for negative imaginary systems using the internal model control principle. (2024)
Journal Article
BHOWMICK, P., KURAWA, S., KANNAN, S. and LANZON, A. 2024. A dynamic controller synthesis methodology for negative imaginary systems using the internal model control principle. Automatica [online], 164, article number 111621. Available from: https://doi.org/10.1016/j.automatica.2024.111621

This paper proposes a new controller design methodology for stable and minimum-phase Negative Imaginary (NI) systems relying on the classical Internal Model Control (IMC) principle. The closed-loop stability of the proposed scheme depends only on the... Read More about A dynamic controller synthesis methodology for negative imaginary systems using the internal model control principle..

Advancing early leukemia diagnostics: a comprehensive study incorporating image processing and transfer learning. (2024)
Journal Article
HAQUE, R., AL SAKIB, A., HOSSAIN, M.F., ISLAM, F., AZIZ, F.I., AHMED, M.R., KANNAN, S., ROHAN, A. and HASAN, M.J. 2024. Advancing early leukemia diagnostics: a comprehensive study incorporating image processing and transfer learning. BioMedInformatics [online], 4(2), pages 966-991. Available from: https://doi.org/10.3390/biomedinformatics4020054

Disease recognition has been revolutionized by autonomous systems in the rapidly developing field of medical technology. A crucial aspect of diagnosis involves the visual assessment and enumeration of white blood cells in microscopic peripheral blood... Read More about Advancing early leukemia diagnostics: a comprehensive study incorporating image processing and transfer learning..

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..