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All Outputs (15)

Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning. (2024)
Presentation / Conference Contribution

Antimicrobial resistance (AMR) poses a serious threat to public health and serves as a vital reservoir for resistant microorganisms. Antimicrobial resistance (AMR) is an increasingly critical public health issue that requires precise and efficient me... Read More about Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning..

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..

Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms. (2023)
Presentation / Conference Contribution
FOUGH, F., JANJUA, G., ZHAO, Y. and DON, A.W. 2023. Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms. 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, La Valletta, Malta. Piscataway: IEEE [online], pages 121-126. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317294

Antimicrobial resistance (AMR) is an increasingly critical public health issue necessitating precise and efficient methodologies to achieve prompt results. The accurate and early detection of AMR is crucial, as its absence can pose life-threatening r... Read More about Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms..

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..

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..

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.

A computational visual saliency model for images. (2021)
Thesis
NARAYANASWAMY, M. 2021. A computational visual saliency model for images. Robert Gordon University, MRes thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1447310

Human eyes receive an enormous amount of information from the visual world. It is highly difficult to simultaneously process this excessive information for the human brain. Hence the human visual system will selectively process the incoming informati... Read More about A computational visual saliency model for images..

A low-complexity wavelet-based visual saliency model to predict fixations. (2020)
Presentation / Conference Contribution
NARAYANASWAMY, M., ZHAO, Y., FUNG, W.K. and FOUGH, N. 2020. A low-complexity wavelet-based visual saliency model to predict fixations. In Proceedings of 27th Institute of Electrical and Electronic Engineers (IEEE) International conference on electronics, circuits and systems 2020 (ICECS 2020), 23-25 November 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9294905. Available from: https://doi.org/10.1109/ICECS49266.2020.9294905

A low-complexity wavelet-based visual saliency model to predict the regions of human eye fixations in images using low-level features is proposed. Unlike the existing wavelet-based saliency detection models, the proposed model requires only two chann... Read More about A low-complexity wavelet-based visual saliency model to predict fixations..

A simple encoder scheme for distributed residual video coding. (2020)
Journal Article
HU, C., ZHAO, Y., YU, L., JIANG, Y. and XIONG, Y. 2020. A simple encoder scheme for distributed residual video coding. Multimedia tools and applications [online], 79(27-28), pages 20061-20078. Available from: https://doi.org/10.1007/s11042-020-08811-y

Rate-Distortion (RD) performance of Distributed Video Coding (DVC) is considerably less than that of conventional predictive video coding. In order to reduce the performance gap, many methods and techniques have been proposed to improve the coding ef... Read More about A simple encoder scheme for distributed residual video coding..

Algorithms and methods for video transcoding. (2019)
Thesis
NAGARAGHATTA, A.S. 2019. Algorithms and methods for video transcoding. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Video transcoding is the process of dynamic video adaptation. Dynamic video adaptation can be defined as the process of converting video from one format to another, changing the bit rate, frame rate or resolution of the encoded video, which is mainly... Read More about Algorithms and methods for video transcoding..

Complexity management of H.264/AVC video compression. (2006)
Thesis
KANNANGARA, C.S. 2006. Complexity management of H.264/AVC video compression. Robert Gordon University, PhD thesis.

The H. 264/AVC video coding standard offers significantly improved compression efficiency and flexibility compared to previous standards. However, the high computational complexity of H. 264/AVC is a problem for codecs running on low-power hand held... Read More about Complexity management of H.264/AVC video compression..