All Outputs (15)

Training people with dementia/cognitive impairment and their carers in the use of web-based supportive technologies (Innovative practice) (2019)
Journal Article
Cunnah, K., Howe, D., Thorpe, J., Dunn, R., Platt, R., White, C., Paulson, K., & Wolverson, E. (2021). Training people with dementia/cognitive impairment and their carers in the use of web-based supportive technologies (Innovative practice). Dementia, 20(2), 796–806. https://doi.org/10.1177/1471301219887592

Little is known about the training and support people with dementia and their carers need to use digital solutions. This paper shares learning from a bespoke programme that successfully trained people with dementia or mild cognitive impairment and th... Read More about Training people with dementia/cognitive impairment and their carers in the use of web-based supportive technologies (Innovative practice).

The CAREGIVERSPRO-MMD Platform as an Online Informational and Social Support Tool for People Living With Memory Problems and Their Carers: An Evaluation of User Engagement, Usability and Usefulness (2019)
Journal Article
Howe, D., Thorpe, J., Dunn, R., White, C., Cunnah, K., Platt, R., Paulson, K., & Wolverson, E. (2019). The CAREGIVERSPRO-MMD Platform as an Online Informational and Social Support Tool for People Living With Memory Problems and Their Carers: An Evaluation of User Engagement, Usability and Usefulness. Journal of applied gerontology, 39(12), 1303-1312. https://doi.org/10.1177/0733464819885326

People living with dementia or cognitive impairment (PwD) and their carers often have unmet needs for informational and social support postdiagnosis. Web-based platforms have the potential to address these needs, although few have been developed for... Read More about The CAREGIVERSPRO-MMD Platform as an Online Informational and Social Support Tool for People Living With Memory Problems and Their Carers: An Evaluation of User Engagement, Usability and Usefulness.

Observer-Based Unknown Input Estimator of Wave Excitation Force for a Wave Energy Converter (2019)
Journal Article
Abdelrahman, M., & Patton, R. (2020). Observer-Based Unknown Input Estimator of Wave Excitation Force for a Wave Energy Converter. IEEE Transactions on Control Systems Technology, 28(6), 2665-2672. https://doi.org/10.1109/TCST.2019.2944329

Several energy maximization control approaches for point-absorber wave-energy converter (PAWEC) systems require knowledge of the wave excitation force (WEF) that is not measurable during the PAWEC operation. Many WEF estimators have been proposed bas... Read More about Observer-Based Unknown Input Estimator of Wave Excitation Force for a Wave Energy Converter.

A Food Monitoring System using Image Segmentation and Machine Learning (2019)
Thesis
Alatawi, M. I. (2019). A Food Monitoring System using Image Segmentation and Machine Learning. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4912448

In recent years, the number of people requiring dietary monitoring has risen, and dietary records are an essential part of the diagnosis and treatment of many health problems. This project designs and evaluates a food monitoring system for use in ins... Read More about A Food Monitoring System using Image Segmentation and Machine Learning.

The impact of spatial temporal averaging on the dynamic statistical properties of rain fields (2019)
Journal Article
Yang, G., Ndzi, D. L., Gremont, B. C., Paulson, K., Filip, M., & Al-Hassani, A.-H. (2019). The impact of spatial temporal averaging on the dynamic statistical properties of rain fields. IEEE Transactions on Antennas and Propagation, 67(12), 7505-7517. https://doi.org/10.1109/tap.2019.2930137

Knowledge of the spatial-temporal variation of rain fields is required for the planning and optimization of wide area high frequency terrestrial and satellite communication networks. This paper presents data and a method for characterizing multi-reso... Read More about The impact of spatial temporal averaging on the dynamic statistical properties of rain fields.

Digital technologies and dementia - training guide (2019)
Other
Wolverson, E., Paulson, K., White, C., Dunn, R., & Oxtoby, K. (2019). Digital technologies and dementia - training guide

This practical guide for group facilitators is now available to support training for people living with dementia/cognitive impairment in the use of digital technologies. The guide gives top tips including the importance of simple steps and the need... Read More about Digital technologies and dementia - training guide.

Wave excitation force estimation and forecasting for WEC power conversion maximisation (2019)
Presentation / Conference Contribution
Shi, S., Abdelrahman, M., & Patton, R. J. (2019, July). Wave excitation force estimation and forecasting for WEC power conversion maximisation. Presented at IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Hong Kong

Prediction or forecasting of the wave excitation force (WEF) is required for implementing a power ef ciency maximisation control of wave energy converters (WECs) due to the inherent non-causality of required power take-off (PTO) force. WEF prediction... Read More about Wave excitation force estimation and forecasting for WEC power conversion maximisation.

Integrated Fault-Tolerant Control for Close Formation Flight (2019)
Journal Article
Liu, C., Jiang, B., Patton, R. J., & Zhang, K. (2020). Integrated Fault-Tolerant Control for Close Formation Flight. IEEE Transactions on Aerospace and Electronic Systems, 56(2), 839-852. https://doi.org/10.1109/TAES.2019.2920221

This paper investigates the position-tracking and attitude-tracking control problem of close formation flight with vortex effects under simultaneous actuator and sensor faults. On the basis of the estimated state and fault information from unknown in... Read More about Integrated Fault-Tolerant Control for Close Formation Flight.

Decentralized Output Sliding-Mode Fault-Tolerant Control for Heterogeneous Multiagent Systems (2019)
Journal Article
Liu, C., Jiang, B., Patton, R. J., & Zhang, K. (2020). Decentralized Output Sliding-Mode Fault-Tolerant Control for Heterogeneous Multiagent Systems. IEEE Transactions on Cybernetics, 50(12), 4934-4945. https://doi.org/10.1109/TCYB.2019.2912636

This paper proposes a novel decentralized output sliding-mode fault-tolerant control (FTC) design for heterogeneous multiagent systems (MASs) with matched disturbances, unmatched nonlinear interactions, and actuator faults. The respective iteration a... Read More about Decentralized Output Sliding-Mode Fault-Tolerant Control for Heterogeneous Multiagent Systems.

Hydrodynamic and control optimization for a heaving point absorber wave energy converter (2019)
Thesis
Jin, S. Hydrodynamic and control optimization for a heaving point absorber wave energy converter. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4221763

The thesis aims at studying the non-linear performance of a designed 1/50 scale point absorber wave energy converter (PAWEC) in heave motion. In particular, designs of the PAWEC geometry and control strategy are considered to optimize the power captu... Read More about Hydrodynamic and control optimization for a heaving point absorber wave energy converter.

Relationship between Surface Mechanical Properties and Foam Stability (2019)
Thesis
Pang, Y. (2019). Relationship between Surface Mechanical Properties and Foam Stability. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4912429

This thesis is concerned with foam stability and surface mechanical properties (including surface tension and surface rheological properties) of liquid-air interfaces of foams. In particular, the question as to which surface mechanical property (or p... Read More about Relationship between Surface Mechanical Properties and Foam Stability.

Fault-tolerant load reduction control for large offshore wind turbines (2019)
Thesis
Liu, Y. Fault-tolerant load reduction control for large offshore wind turbines. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4270015

Offshore wind turbines suffer from asymmetrical loading (blades, tower etc.), leading to enhanced structural fatigue. As well as asymmetrical loading different types of faults (pitch system faults etc.) can occur simultaneously, causing degradation o... Read More about Fault-tolerant load reduction control for large offshore wind turbines.

Viscoelastically prestressed polymeric matrix composites – effects of delayed moulding on Charpy impact properties (2019)
Journal Article
Qin, Y., & Fancey, K. S. (2019). Viscoelastically prestressed polymeric matrix composites – effects of delayed moulding on Charpy impact properties. Composites Part A: Applied Science and Manufacturing, 121, 169-174. https://doi.org/10.1016/j.compositesa.2019.03.014

Viscoelastically prestressed polymeric matrix composites (VPPMCs) are produced by subjecting fibres to creep, then releasing the creep load before moulding. Previous work has demonstrated mechanical property improvements up to ~50% from nylon 6,6 fib... Read More about Viscoelastically prestressed polymeric matrix composites – effects of delayed moulding on Charpy impact properties.

The effect of beat interval on ventricular repolarisation in atrial fibrillation (2019)
Presentation / Conference Contribution
Al-Karadi, M. S., Wilkinson, A. J., & Langley, P. (2018, September). The effect of beat interval on ventricular repolarisation in atrial fibrillation. Presented at 2018 Computing in Cardiology Conference (CinC), Maastricht, The Netherlands

© 2018 Creative Commons Attribution. Atrial fibrillation (AF) is characterised by rapid beat interval changes. The aim of the study was to investigate the effect of such changes on ECG ventricular repolarisation characteristics. In 10 AF recordings b... Read More about The effect of beat interval on ventricular repolarisation in atrial fibrillation.

Learning a predictionless resonating controller for wave energy converters (2019)
Presentation / Conference Contribution
Shi, S., Patton, R. J., Abdelrahman, M., & Liu, Y. (2019, June). Learning a predictionless resonating controller for wave energy converters. Presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, Glasgow, Scotland

This article presents a data-efficient learning approach for the complex-conjugate control of a wave energy point absorber. Particularly, the Bayesian Optimization algorithm is adopted for maximizing the extracted energy from sea waves subject to phy... Read More about Learning a predictionless resonating controller for wave energy converters.