All Outputs (5)

Enhanced Switching in Solid Polymer Electrolyte Memristor Devices via the addition of Interfacial Barriers and Quantum Dots (2023)
Conference Proceeding
Gater, M., Adawi, A., & Kemp, N. (2023). Enhanced Switching in Solid Polymer Electrolyte Memristor Devices via the addition of Interfacial Barriers and Quantum Dots. In NANOARCH '23: Proceedings of the 18th ACM International Symposium on Nanoscale Architectures. https://doi.org/10.1145/3611315.3633275

We report on the electrical effects of single and double polymer (polymethacrylate) barriers on polyethylene oxide (PEO) based memristors. The single barrier device with an active layer embedded with WS2 quantum dots is also investigated. The additio... Read More about Enhanced Switching in Solid Polymer Electrolyte Memristor Devices via the addition of Interfacial Barriers and Quantum Dots.

The Contribution of Major Historical Orefields to Coastal Trace Metal(loid) Fluxes in North-East England (2023)
Conference Proceeding
Riley, A. L., Onnis, P., Gandy, C. J., Kanu, C. V., Umeobika, C. V., Cameron, J., …Mayes, W. M. (2023). The Contribution of Major Historical Orefields to Coastal Trace Metal(loid) Fluxes in North-East England. In IMWA 2023 – ”Y Dyfodol | The Future”. Proceedings of the International Mine Water Association Conference (421-427)

Mine waters and tailings are key inputs to riverine metal(loid) transport to the coast. However, coastal areas also face local contaminant pressures, e.g. active industries and abandoned landfill sites. Annual riverine metal(loid) flux data were asse... Read More about The Contribution of Major Historical Orefields to Coastal Trace Metal(loid) Fluxes in North-East England.

A Nonlinear Model Predictive Controller for Trajectory Planning of Skid-Steer Mobile Robots in Agricultural Environments (2023)
Conference Proceeding
Aro, K., Urvina, R., Deniz, N. N., Menendez, O., Iqbal, J., & Prado, A. (2023). A Nonlinear Model Predictive Controller for Trajectory Planning of Skid-Steer Mobile Robots in Agricultural Environments. In 2023 IEEE Conference on AgriFood Electronics (CAFE) (65-69). https://doi.org/10.1109/CAFE58535.2023.10291643

This research presents an integrated trajectory planning strategy with a motion control approach using a Nonlinear Model Predictive Control (NMPC) framework for Skid-Steer Mobile Robots (SSMRs) in agricultural scenarios. In a single architecture, the... Read More about A Nonlinear Model Predictive Controller for Trajectory Planning of Skid-Steer Mobile Robots in Agricultural Environments.

Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting (2023)
Conference Proceeding
Tuton, E., Ma, X., & Dethlefs, N. (2023). Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting. . https://doi.org/10.1051/e3sconf/202343301008

Wind power is a key pillar in efforts to decarbonise energy production. However, variability in wind speed and resultant wind turbine power generation poses a challenge for power grid integration. Digital Twin (DT) technology provides intelligent ser... Read More about Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting.

Design and Adaptive Compliance Control of a Wearable Walk Assist Device (2023)
Conference Proceeding
Shah, S. H., Alam, M. S., Arsalan, M., Ul Haq, I., Khan, S. G., & Iqbal, J. (2023). Design and Adaptive Compliance Control of a Wearable Walk Assist Device. In 2023 International Conference on Robotics and Automation in Industry (ICRAI). https://doi.org/10.1109/ICRAI57502.2023.10089580

The ability to walk independently is a predominant feature that human beings are bestowed with by nature. People with moving disabilities face many challenges in day-to-day activities and they have to rely on others to perform their day-to-day activi... Read More about Design and Adaptive Compliance Control of a Wearable Walk Assist Device.