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RAMKUMAR MUTHUKRISHNAN's Outputs (8)

Machine learning approach to investigate high temperature corrosion of critical infrastructure materials. (2024)
Journal Article
MUTHUKRISHNAN, R., BALOGUN, Y., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M. and FAISAL, N.H. 2024. Machine learning approach to investigate high temperature corrosion of critical infrastructure materials. High temperature corrosion of materials [online], 101(Suppl 1), pages 309-331. Available from: https://doi.org/10.1007/s11085-024-10312-4

Degradation of coatings and structural materials due to high temperature corrosion in the presence of molten salt environment is a major concern for critical infrastructure applications to meet its commercial viability. The choice of high value coati... Read More about Machine learning approach to investigate high temperature corrosion of critical infrastructure materials..

Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis. (2024)
Journal Article
FAISAL, N.H., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M., MUTHUKRISHNAN, R., BALOGUN, Y., PANCHOLI, K., HUSSAIN, T., LOKACHARI, S., HORRI, B.A. and BANKHEAD, M. 2024. Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis. Engineering reports [online], 6(9), article number e12947. Available from: https://doi.org/10.1002/eng2.12947

Thermochemical water splitting stands out as the most efficient techniques to produce hydrogen through electrolysis at a high temperature, relying on a series of chemical reactions within a loop. However, achieving a durable thermochemical cycle sys... Read More about Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis..

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..

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.

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..

Vision based relative position estimation in surgical robotics.
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..

Tracking and estimation of surgical instrument position and angle in surgical robot using vision system.
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..

Detecting and tracking the position of suspicious objects using vision system.
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..