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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.

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.

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.

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.

“They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot (2023)
Presentation / Conference Contribution
Trigo, M. J. G., Reyes-Cruz, G., Maior, H. A., Pepper, C., Price, D., Leonard, P., …Fischer, J. E. (2023). “They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). https://doi.org/10.1109/RO-MAN57019.2023.10309364

Increasingly, robots are adopted for routine tasks such as cleaning and disinfection of public spaces, raising questions about attitudes and trust of professional cleaners who might in future have robots as teammates, and whether the general public f... Read More about “They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot.

Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression (2023)
Presentation / Conference Contribution
Peng, W., & Ou, H. (2024). Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression. In K. Mocellin, P. Bouchard, R. Bigot, & T. Balan (Eds.), Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology o (713-721). https://doi.org/10.1007/978-3-031-41023-9_71

Single point incremental forming (SPIF) and Double-sided incremental forming (DSIF) are two main variants of incremental sheet forming (ISF) processes. Tension under cyclic bending (TCB) have been developed as a means for experimental evaluation and... Read More about Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression.

Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data (2023)
Presentation / Conference Contribution
Dave, R., Angarita-Zapata, J. S., & Triguero, I. (2023). Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. In Machine Learning and Knowledge Extraction (82-102). https://doi.org/10.1007/978-3-031-40837-3_6

The emergence of Machine Learning (ML) has altered how researchers and business professionals value data. Applicable to almost every industry, considerable amounts of time are wasted creating bespoke applications and repetitively hand-tuning models t... Read More about Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data.

Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing (2023)
Presentation / Conference Contribution
Abdi, H., Bagley, S. R., Furnell, S., & Twycross, J. (2023). Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing. In DocEng ’23 : Proceedings of the 2023 ACM Symposium on Document Engineering. https://doi.org/10.1145/3573128.3609348

Attribution provides valuable intelligence in the face of Advanced Persistent Threat (APT) attacks. By accurately identifying the culprits and actors behind the attacks, we can gain more insights into their motivations, capabilities, and potential fu... Read More about Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing.

Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model (2023)
Presentation / Conference Contribution
Zhang, H., Burrows, L., Meng, Y., Sculthorpe, D., Mukherjee, A., Coupland, S. E., …Zheng, Y. (2023). Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (15630-15640). https://doi.org/10.1109/cvpr52729.2023.01500

Image segmentation is a fundamental task in the field of imaging and vision. Supervised deep learning for segmentation has achieved unparalleled success when sufficient training data with annotated labels are available. However, annotation is known t... Read More about Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model.

LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems (2023)
Presentation / Conference Contribution
Fatehi, K., & Kucukyilmaz, A. (2023). LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems. In Interspeech 2023

With advances in deep learning methodologies, Automatic Speech Recognition (ASR) systems have seen impressive results. However, ASR in Low-Resource Environments (LREs) are challenged by a lack of training data for the specific target domain. We propo... Read More about LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems.

Fines-controlled drainage in just-saturated, inertial column collapses (2023)
Presentation / Conference Contribution
Webb, W., Heron, C., & Turnbull, B. (2023). Fines-controlled drainage in just-saturated, inertial column collapses. E3S Web of Conferences, 415, Article 01030. https://doi.org/10.1051/e3sconf/202341501030

The wide particle size distributions, over several orders of magnitude, observed in debris flows leads to a diverse range of rheological behaviours controlling flow outcomes. This study explores the influence of different scale grains by conducting s... Read More about Fines-controlled drainage in just-saturated, inertial column collapses.

An experimental investigation of the effect of surface roughness on sessile droplet evaporation (2023)
Presentation / Conference Contribution
Zhang, Z., Yan, Y., & Magnini, M. (2023). An experimental investigation of the effect of surface roughness on sessile droplet evaporation. . https://doi.org/10.1615/IHTC17.130-110

As one of the most common phenomena in nature, droplet evaporation has become a major heat transfer mode and is used widely in industries and scientific fields. For a sessile droplet, the wettability of the substrate surface could make a significant... Read More about An experimental investigation of the effect of surface roughness on sessile droplet evaporation.

BIM-based building circularity assessment: conceptual framework (2023)
Presentation / Conference Contribution
Al-Qazzaz, I., Osorio-Sandoval, C., Tokbolat, S., & Thermou, G. (2023). BIM-based building circularity assessment: conceptual framework. In Proceedings of the 20th International Conference on Sustainable Energy Technologies (130-137)

The construction sector contributes substantially to the consumption of raw materials and the production of waste. Traditional building design strategies are based on an unsustainable economic linear model. Transition to the circular economy (CE) par... Read More about BIM-based building circularity assessment: conceptual framework.