Outputs (14)

Combined Head-Mounted Display Virtual Reality and Electroencephalography in the Study of Working Memory (2024)
Thesis
Durnin, A. (2024). Combined Head-Mounted Display Virtual Reality and Electroencephalography in the Study of Working Memory. (Thesis). Hull York Medical School. https://hull-repository.worktribe.com/output/5005212

Modern head-mounted display virtual reality (HMD-VR) is used to present immersive virtual environments which reduce external distractions during research. Working memory load (WML) is commonly measured using electroencephalography (EEG), which non-in... Read More about Combined Head-Mounted Display Virtual Reality and Electroencephalography in the Study of Working Memory.

Human Brain Responses to Fast-Moving Consumer Goods Using Electroencephalography (2024)
Thesis
Aksoy, M. (2024). Human Brain Responses to Fast-Moving Consumer Goods Using Electroencephalography. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4910116

The utilisation of brain monitoring methods in the field of neuroscience provides an opportunity to go beyond subjective data collection methods such as questionnaires, focus groups, and interviews. Using these monitoring methods allows researchers i... Read More about Human Brain Responses to Fast-Moving Consumer Goods Using Electroencephalography.

Explainable Deep Learning Approach for High Impedance Fault Localization in Resonant Distribution Networks Considering Quantization Noise (2024)
Journal Article
Gao, J.-H., Guo, M.-F., Lin, S., & Hong, Q. (online). Explainable Deep Learning Approach for High Impedance Fault Localization in Resonant Distribution Networks Considering Quantization Noise. International Journal of Circuit Theory and Applications, https://doi.org/10.1002/cta.4260

In addressing the quantization noise challenge in high impedance fault (HIF) localization within resonant distribution networks, we propose a cutting-edge, explainable deep learning approach that significantly advances existing methods. This approach... Read More about Explainable Deep Learning Approach for High Impedance Fault Localization in Resonant Distribution Networks Considering Quantization Noise.

Numerical analysis of transient thermal contrast on the surface of women’s breasts during recovery from contact cooling (2024)
Thesis
Amri, A. (2024). Numerical analysis of transient thermal contrast on the surface of women’s breasts during recovery from contact cooling. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4927492

The Transmission Line Matrix (TLM) method is used to solve numerically a heat transfer model for the woman’s breast and predict the tumour-induced thermal contrast on its surface during a breast thermography exam. This imaging modality is beset with... Read More about Numerical analysis of transient thermal contrast on the surface of women’s breasts during recovery from contact cooling.

Improving Thermal Performance of Buildings using Smart Inspections and Peltier-driven Heat Recovery (2024)
Thesis
Shariq, M. H. Improving Thermal Performance of Buildings using Smart Inspections and Peltier-driven Heat Recovery. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4860398

Buildings account for 40% of overall carbon emissions in the UK which have significant impacts on the environment. The overconsumption of energy for heating and cooling is primarily caused by thermal leakages due to building defects. Existing techniq... Read More about Improving Thermal Performance of Buildings using Smart Inspections and Peltier-driven Heat Recovery.

Extended state observer-based fault-tolerant control for an unmanned surface vehicle under asynchronous injection and deception attacks (2024)
Journal Article
Wang, H., Liu, C., Huang, X., Zhong, Y., Qu, D., & Patton, R. J. (2024). Extended state observer-based fault-tolerant control for an unmanned surface vehicle under asynchronous injection and deception attacks. Complex Engineering Systems, 4(3), Article 13. https://doi.org/10.20517/ces.2024.19

This paper explores the problem of fault-tolerant control concerning an underactuated unmanned surface vehicle affected by actuator faults and disturbances in the physical layer and multiple cyber threats (time-varying delays, injection attacks, and... Read More about Extended state observer-based fault-tolerant control for an unmanned surface vehicle under asynchronous injection and deception attacks.

Monitoring of Curing Process of Epoxy Resin by Long-Period Fiber Gratings (2024)
Journal Article
Ivanov, O. V., Bhavsar, K., Morgan-Clague, O., & Gilbert, J. M. (2024). Monitoring of Curing Process of Epoxy Resin by Long-Period Fiber Gratings. Sensors, 24(11), Article 3397. https://doi.org/10.3390/s24113397

The curing of epoxy resin is a complex thermo-chemical process that is difficult to monitor using existing sensing systems. We monitored the curing process of an epoxy resin by using long-period fiber gratings. The refractive index of the epoxy resin... Read More about Monitoring of Curing Process of Epoxy Resin by Long-Period Fiber Gratings.

Analysis-on-a-roll platforms towards automated and high frequency in-situ sensing of natural geochemical fluxes (2024)
Thesis
Iurkov, A. Analysis-on-a-roll platforms towards automated and high frequency in-situ sensing of natural geochemical fluxes. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4702966

In the context of the rapidly intensifying crisis of climate change, the intricate dynamics of Earth's ecosystems have assumed a paramount significance. The carbon cycle plays a significant role in the dynamics of the earth’s ecosystem, and anthropog... Read More about Analysis-on-a-roll platforms towards automated and high frequency in-situ sensing of natural geochemical fluxes.

Energy Maximization of Control for a Point Absorber Wave Energy Converter (2024)
Thesis
Li, D. Energy Maximization of Control for a Point Absorber Wave Energy Converter. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4704554

To date, one of the main challenges and requirements in wave energy technologies is to design energy-maximising control for a wave energy converter (WEC) device to achieve the energy maximization production, so as to reduce the levelized cost of ener... Read More about Energy Maximization of Control for a Point Absorber Wave Energy Converter.

Robustness of embedded fibre optic sensor mesh configurations for monitoring composite structures (2024)
Journal Article
Gilbert, J. M., Bhavsar, K., & Ivanov, O. V. (2024). Robustness of embedded fibre optic sensor mesh configurations for monitoring composite structures. Sensors and Actuators A: Physical, 373, Article 115445. https://doi.org/10.1016/j.sna.2024.115445

Fibre optic sensors are attractive for monitoring of composite structures but the significant risk of damage to fibres where they enter the structure and within the structure itself can make their use unreliable. Mesh configurations of embedded fibre... Read More about Robustness of embedded fibre optic sensor mesh configurations for monitoring composite structures.