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All Outputs (3427)

Designing Apps to Track Mental Workload (2023)
Presentation / Conference Contribution
Wilson, M., Shaban, J., Ma, X., Shalliker, M., Midha, S., & Sharples, S. (2023, September). Designing Apps to Track Mental Workload. Paper presented at The Future of Cognitive Personal Informatics, Athens, Greece and online

Brain-related wearables are now freely available on the market, and with even wrist-worn devices making estimates about cognitive activity, understanding Cognitive Personal Informatics (CogPI) has become a pressing issue. In this paper, we present a... Read More about Designing Apps to Track Mental Workload.

Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study (2023)
Presentation / Conference Contribution
Hernández Oliver, K. H., Martínez-Arellano, G., & Segal, J. (2023). Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study. In 1st Workshop on Low-Cost Digital Solutions for Industrial Automation

The use of digital technologies around the world has increased considerably, modifying the way in which daily activities are conducted. The manufacturing sector is no exception. Over the last decade, digital technologies have become a key element for... Read More about Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study.

Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision (2023)
Presentation / Conference Contribution
Mo, F., Ur Rehman, H. U., Elshafei, B., Chaplin, J. C., Sanderson, D., Martínez-Arellano, G., & Ratchev, S. (2023). Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision. In Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023). https://doi.org/10.1049/icp.2023.1736

In the evolving digital landscape, Small and Medium-sized Enterprises (SMEs) grapple with the intricate task of managing vast manufacturing data while operating within budgetary constraints. Addressing this dichotomy, our research introduces an innov... Read More about Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision.

Behavioural SiC IGBT Modelling Using Non-Linear Voltage and Current Dependent Capacitances (2023)
Presentation / Conference Contribution
Almpanis, I., Evans, P., Li, K., & Lophitis, N. (2023, September). Behavioural SiC IGBT Modelling Using Non-Linear Voltage and Current Dependent Capacitances. Presented at 2023 IEEE Design Methodologies Conference (DMC), Miami, FL, USA

This paper presents a behavioural silicon carbide (SiC) IGBT model that utilizes voltage and current dependent capacitances to simulate its switching characteristics, and a voltage dependent current source to simulate the static characteristics. The... Read More about Behavioural SiC IGBT Modelling Using Non-Linear Voltage and Current Dependent Capacitances.

Pharmacokinetics of meloxicam for medication control in racing greyhounds (2023)
Presentation / Conference Contribution
Morris, T. H., Paine, S. W., Viljanto, M., Colgan, S. A., & Karamatic, S. L. (2023, September). Pharmacokinetics of meloxicam for medication control in racing greyhounds. Paper presented at 23rd International Conference of Racing Analysts and Veterinarians, Hong Kong, China

Recent published disciplinary findings from regulators of greyhound racing in Australia, Great Britain and Ireland have shown overall that the most common non-steroidal anti-inflammatory drug (NSAID) adverse analytical finding is for meloxicam. Whils... Read More about Pharmacokinetics of meloxicam for medication control in racing greyhounds.

I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication (2023)
Presentation / Conference Contribution
Large, D. R., Hallewell, M., Li, X., Harvey, C., & Burnett, G. (2023). I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication. In AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (127-132). https://doi.org/10.1145/3581961.3609883

We employed the 'Ghost Driver' methodology to emulate an autonomous vehicle (AV) and explored pedestrians' (n=520) crossing behaviour in response to external human-machine interfaces (eHMIs). Three eHMI designs were created to replace absent pedestri... Read More about I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication.

Data donation of individual shopping data to help predict the occurrence of disease: A pilot study linking individual loyalty card and health survey data to investigate COVID-19 (2023)
Presentation / Conference Contribution
Dolan, E., Goulding, J., & Skatova, A. (2023). Data donation of individual shopping data to help predict the occurrence of disease: A pilot study linking individual loyalty card and health survey data to investigate COVID-19. International Journal of Population Data Science, 8(3), https://doi.org/10.23889/ijpds.v8i3.2273

Introduction & Background
Previous studies have found shopping data could increase the predictive accuracy of disease surveillance systems and illuminate behavioural responses in the self-management of symptoms of disease. Yet, accessing individual... Read More about Data donation of individual shopping data to help predict the occurrence of disease: A pilot study linking individual loyalty card and health survey data to investigate COVID-19.

UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment (2023)
Presentation / Conference Contribution
Maaji, S. S., & Landa-Silva, D. (2023). UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment. In Computational Logistics. ICCL 2023 (467-481). https://doi.org/10.1007/978-3-031-43612-3_29

This paper proposes a model for unmanned aerial vehicles (UAV) grid-based coverage path planning, considering coverage completeness and energy consumption in complex environments with multiple obstacles. The work is inspired by the need for more effi... Read More about UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment.

Identifying Variation in the Newborn Life Support Procedure: An Automated Method (2023)
Presentation / Conference Contribution
Tan, A., Remenyte-Prescott, R., Egede, J., Valstar, M., & Sharkey, D. (2023). Identifying Variation in the Newborn Life Support Procedure: An Automated Method. In M. P. Brito, T. Aven, P. Baraldi, M. Čepin, & E. Zio (Eds.), Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023) (607-614)

This research is conducted for developing an automated method to recognize variations in the Newborn Life Support (NLS) procedure. Compliance with the NLS standard guideline is essential to prevent any adverse consequences for the newborn. Video reco... Read More about Identifying Variation in the Newborn Life Support Procedure: An Automated Method.

The Integration of Green Building Technologies into the Construction Sector of Developing Countries: The Case of Ghana (2023)
Presentation / Conference Contribution
Genfi, N., & Tokbolat, S. (2023). The Integration of Green Building Technologies into the Construction Sector of Developing Countries: The Case of Ghana. In A. Tutesigensi, & C. J. Neilson (Eds.), Proceedings of the 39th Annual ARCOM Conference (810-819)

Emerging climate change crisis, resources scarcity and global sustainability agenda are putting pressures on developing nations and demanding actions. This study aimed to examine the significance of introducing green building technologies (GBTs) in... Read More about The Integration of Green Building Technologies into the Construction Sector of Developing Countries: The Case of Ghana.

Model Predictive Control of Modular Multilevel Converter with High Number of Submodules (2023)
Presentation / Conference Contribution
Kadhum, H., Alan, W., Saleh, B. M., Marco, R., Pericle, Z., & Patrick, W. (2023). Model Predictive Control of Modular Multilevel Converter with High Number of Submodules. In 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe). https://doi.org/10.23919/epe23ecceeurope58414.2023.10264447

This paper proposes a Level Model Predictive Control strategy combined with a pre-processing sorting algorithm to address the processing time issue of predictive control for Modular Multilevel Converters (MMCs) with hundreds of submodules. Five contr... Read More about Model Predictive Control of Modular Multilevel Converter with High Number of Submodules.

A modified Control Strategy of Neutral-Point Clamped Converter-Fed PMSM Drives with Engergy Storage Systems (2023)
Presentation / Conference Contribution
Xie, J., Suberski, M., Henneberg, D., Petzoldt, J., Li, Y., Watson, A., & De Novaes, Y. R. (2023). A modified Control Strategy of Neutral-Point Clamped Converter-Fed PMSM Drives with Engergy Storage Systems. In 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe). https://doi.org/10.23919/epe23ecceeurope58414.2023.10264367

This paper proposes a modified control strategy for three-phase three-level neutral point clamped (NPC) converter-fed Permanent Magnet Synchronous Motor (PMSM) drive in the application of Energy Storage Systems (ESS) using single-carrier modulation.... Read More about A modified Control Strategy of Neutral-Point Clamped Converter-Fed PMSM Drives with Engergy Storage Systems.

Estimation of Leakage Inductance in High-frequency Three-Winding Transformers for Electric Vehicle On-board Chargers (2023)
Presentation / Conference Contribution
Kougioulis, I., Vannini, A., Pal, A., Wheeler, P., & Ahmed, M. R. (2023). Estimation of Leakage Inductance in High-frequency Three-Winding Transformers for Electric Vehicle On-board Chargers. In 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe). https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264329

This paper reviews several methods to estimate the equivalent circuit model parameters of high-frequency three-winding transformers, considering measurement accuracy and tolerance to measurement errors. First, several equivalent circuit models of the... Read More about Estimation of Leakage Inductance in High-frequency Three-Winding Transformers for Electric Vehicle On-board Chargers.

An asset management framework for wind turbine blades considering reliability of monitoring system (2023)
Presentation / Conference Contribution
Wu, W., Prescott, D., Remenyte-Prescott, R., Saleh, A., & Chiachio Ruano, M. (2023, September). An asset management framework for wind turbine blades considering reliability of monitoring system. Presented at 33rd European Safety and Reliability Conference (ESREL 2023), Southampton, UK

In this study, a wind turbine (WT) blade asset management (AM) Petri net (PN) model is presented, which incorporates risk-based maintenance and structural health monitoring (SHM). Firstly, PN modules cover the entirety of the blade AM process, descri... Read More about An asset management framework for wind turbine blades considering reliability of monitoring system.

Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets (2023)
Presentation / Conference Contribution
Yan, R., Dunnett, S., & Jackson, L. (2023). Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets. In Proceedings of the The 33rd European Safety and Reliability Conference (ESREL 2023) 3 – 8 September 2023, Southampton, UK. https://doi.org/10.3850/978-981-18-8071-1_p034-cd

Offshore wind power is one of the main technologies helping to meet the global low carbon challenge. However, the significant expansion of the offshore wind industry and the rapid increase in the size and weight of turbine components will certainly a... Read More about Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets.

Human-AI Musicking: A Framework for Designing AI for Music Co-creativity (2023)
Presentation / Conference Contribution
Vear, C., Benford, S., Avila, J. M., & Moroz, S. (2023). Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

In this paper, we present a framework for understanding human-AI musicking. This framework prompts a series of questions for reflecting on various aspects of the creative interrelationships between musicians and AI and thus can be used as a tool for... Read More about Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

Wall Permeability Estimation in Automotive Particulate Filters (2023)
Presentation / Conference Contribution
Samuels, C., Holtzman, R., Benjamin, S., Aleksandrova, S., Watling, T. C., & Medina, H. (2023). Wall Permeability Estimation in Automotive Particulate Filters. SAE Technical Papers, Article 2023-24-0110. https://doi.org/10.4271/2023-24-0110

Porous wall permeability is one of the most critical factors for the estimation of backpressure, a key performance indicator in automotive particulate filters. Current experimental and analytical filter models could be calibrated to predict the perme... Read More about Wall Permeability Estimation in Automotive Particulate Filters.