A Boundary Element Method (BEM) Solver for Low Frequency Room Modes (2022)
Presentation / Conference
Cicero, A., & Hargreaves, J. A. (2022, August). A Boundary Element Method (BEM) Solver for Low Frequency Room Modes. Presented at Internoise 2022, Glasgow, Scotland

Room modes are known to be problematic in small critical listening environments. They degrade the acoustic quality at low frequencies, producing peaks and nulls in the frequency domain and ringing in the time domain. The Finite Element Method (FEM) i... Read More about A Boundary Element Method (BEM) Solver for Low Frequency Room Modes.

Text line segmentation from struck-out handwritten document images (2022)
Journal Article
Shivakumara, P., Jain, T., Pal, U., Surana, N., Antonacopoulos, A., & Lu, T. (2022). Text line segmentation from struck-out handwritten document images. Expert systems with applications, 210, 118266. https://doi.org/10.1016/j.eswa.2022.118266

In the case of freestyle everyday handwritten documents, writing, erasing, striking out, and overwriting are common behaviors of the writers. This not cleanly-written text poses significant challenges for text line segmentation. Accurate text line se... Read More about Text line segmentation from struck-out handwritten document images.

What our bodies tell us about noise (2022)
Journal Article
Williams, D. (2022). What our bodies tell us about noise. Frontiers for Young Minds, 10, https://doi.org/10.3389/frym.2022.689100

Noise is defined as unwanted sound. Not only is noise unwanted, it is expensive and bad for human health. But what sounds like noise to one person might be a happy sound for someone else, so how do we study noise? This article explains how we try to... Read More about What our bodies tell us about noise.

Cloud-based AI for automatic audio production for personalized immersive XR experiences (2022)
Journal Article
Oldfield, R., Walley, M., Shirley, B., & Williams, D. (2022). Cloud-based AI for automatic audio production for personalized immersive XR experiences. SMPTE motion imaging journal, 131(7), 6-16. https://doi.org/10.5594/JMI.2022.3184849

In this article, we focus on the machine-learning approach developed for automatic audio source recognition and mixing for the U.K. Government Department of Culture Media and Sport (DCMS) funded collaborative project called 5G Edge-XR. Leveraging gra... Read More about Cloud-based AI for automatic audio production for personalized immersive XR experiences.

Requirements for drone operations to minimise community noise impact (2022)
Journal Article
Ramos Romero, C., Green, N., Roberts, S., Clark, C., & Torija Martinez, A. (2022). Requirements for drone operations to minimise community noise impact. International Journal of Environmental Research and Public Health, 19(15), https://doi.org/10.3390/ijerph19159299

The number of applications for drones under R&D have growth significantly during the 12 last few years, however the wider adoption of these technologies requires ensuring public trust and 13 acceptance. Noise has been identified as one of the key c... Read More about Requirements for drone operations to minimise community noise impact.

Optimal controllers and configurations of 100% PV and energy Storage systems for a microgrid : the case study of a small town in Jordan (2022)
Journal Article
Alasali, F., Salameh, M., Semrin, A., Nusair, K., El-Naily, N., & Holderbaum, W. (2022). Optimal controllers and configurations of 100% PV and energy Storage systems for a microgrid : the case study of a small town in Jordan. Sustainability, 14(13), 8124. https://doi.org/10.3390/su14138124

Renewable energy systems such as Photovoltaic (PV) have become one of the best options for supplying electricity at the distribution network level. This is mainly because the PV system is sustainable, environmentally friendly, and is a low-cost form... Read More about Optimal controllers and configurations of 100% PV and energy Storage systems for a microgrid : the case study of a small town in Jordan.

Inventive Podcast: Evaluation of Project Participants (2022)
Other
Harris, L., & Cox, T. (2022). Inventive Podcast: Evaluation of Project Participants. Salford

The Inventive podcast project was devised as a novel format for 'mixing engineering fact & fiction': Each episode features both an engineer being interviewed, and a fictional piece created by a writer in response to that interview. The project aims... Read More about Inventive Podcast: Evaluation of Project Participants.

Thermal properties of hydrated lime-modified asphalt concrete and modelling evaluation for their effect on the constructed pavements in service (2022)
Journal Article
Al Ashaibi, A., Wang, Y., Albayati, A., Byzyka, J., Scholz, M., & Weekes, L. (2022). Thermal properties of hydrated lime-modified asphalt concrete and modelling evaluation for their effect on the constructed pavements in service. Sustainability, 14(13),

Flexible pavements are subjected to three main distress types: fatigue crack, thermal crack, and permanent deformation. Under severe climate conditions, thermal cracking particularly contributes largely to a considerable scale of premature deteriora... Read More about Thermal properties of hydrated lime-modified asphalt concrete and modelling evaluation for their effect on the constructed pavements in service.

A deep explainable model for fault prediction using IoT sensors (2022)
Journal Article
Mansouri, T., & Vadera, S. (2022). A deep explainable model for fault prediction using IoT sensors. IEEE Access, https://doi.org/10.1109/ACCESS.2022.3184693

IoT sensors and deep learning models can widely be applied for fault prediction. Although deep learning models are considerably more potent than many conventional machine learning models, they are not transparent. This paper first examines differen... Read More about A deep explainable model for fault prediction using IoT sensors.

Aeroacoustic design and optimisation of an all-electric ducted fan propulsion module for low-noise impact (2022)
Presentation / Conference
Casagrande Hirono, F., Torija Martinez, A., Elliott, A., Taylor, J., Grimshaw, S., & Lefas, D. (2022, June). Aeroacoustic design and optimisation of an all-electric ducted fan propulsion module for low-noise impact. Presented at 28th AIAA/CEAS Aeroacoustics 2022 Conference, Southampton, UK

This paper discusses the aeroacoustic aspects of the design, construction and testing of an all-electric ducted fan propulsion module for future electric aircraft. An overview of the propulsor aerodynamic design is provided. Acoustic measurements mad... Read More about Aeroacoustic design and optimisation of an all-electric ducted fan propulsion module for low-noise impact.

A heuristic approach on predictive maintenance techniques : limitations and scope (2022)
Journal Article
Shukla, K., Nefti-Meziani, S., & Davis, S. (2022). A heuristic approach on predictive maintenance techniques : limitations and scope. Advances in Mechanical Engineering, 14(6), https://doi.org/10.1177/16878132221101009

In view of the trend towards Industry 4.0, intelligent predictive monitoring and decision-making processes have become a crucial requirement in today’s manufacturing industries to safeguard data exchange and industrial assets from damage that would t... Read More about A heuristic approach on predictive maintenance techniques : limitations and scope.

Generation of noise exposure contours for eVTOL aircraft including transition (2022)
Presentation / Conference
Amargianitakis, D., Self, R., Proenca, A., Torija Martinez, A., & Synodinos, A. (2022, June). Generation of noise exposure contours for eVTOL aircraft including transition. Presented at 28th AIAA/CEAS Aeroacoustics 2022 Conference, Southampton, UK

With the advent of the Urban Air Mobility (UAM) sector, a wide variety of concepts have emerged in academic studies and industry preliminary designs. The majority of these concepts sport Vertical Takeoff and Landing (VTOL) capabilities taking advanta... Read More about Generation of noise exposure contours for eVTOL aircraft including transition.

Methods for pruning deep neural networks (2022)
Journal Article
Vadera, S., & Ameen, S. (2022). Methods for pruning deep neural networks. IEEE Access, 63280- 63300. https://doi.org/10.1109/ACCESS.2022.3182659

This paper presents a survey of methods for pruning deep neural networks. It begins by categorising over 150 studies based on the underlying approach used and then focuses on three categories: methods that use magnitude based pruning, methods that... Read More about Methods for pruning deep neural networks.

Size effect of hydrated lime on the mechanical performance of asphalt concrete (2022)
Journal Article
asphalt concrete. Materials, 15(10), 3715

Despite widespread agreement on the beneficial nature of hydrated lime (HL) addition to asphalt concrete mixes, understanding of the effect of HL particle size is still limited. Previous investigations have focused mainly on two different size compar... Read More about Size effect of hydrated lime on the mechanical performance of asphalt concrete.

Improving the measurement and acoustic performance of transparent face masks and shields (2022)
Journal Article
Cox, T. J., Dodgson, G., Harris, L., Perugia, E., Stone, M. A., & Walsh, M. (2022). Improving the measurement and acoustic performance of transparent face masks and shields. ˜The œJournal of the Acoustical Society of America (Online), 151(5), 2931-2944. https://doi.org/10.1121/10.0010384

Opaque face masks harm communication by preventing speech-reading (lip-reading) and attenuating high-frequency sound. Although transparent masks and shields (visors) with clear plastic inserts allow speech-reading, they usually create more sound atte... Read More about Improving the measurement and acoustic performance of transparent face masks and shields.

Rheological properties of the water-based muds composed of silica nanoparticle under high pressure and high temperature (HPHT) (2022)
Journal Article
Martin, C., Babaie, M., Nourian, A., & Nasr, G. (2022). Rheological properties of the water-based muds composed of silica nanoparticle under high pressure and high temperature (HPHT). SPE Journal, 27(5), 2563-2576. https://doi.org/10.2118/209786-PA

Research currently has shown two contradicting conclusions about silica nanoparticle (SNP) application in mud fluid. While different studies have concluded that adding SNPs reduces the rheological properties, others have found that this is not the ca... Read More about Rheological properties of the water-based muds composed of silica nanoparticle under high pressure and high temperature (HPHT).

Investigation of metrics for assessing human response to drone noise (2022)
Journal Article
Torija Martinez, A., & Nicholls, R. (2022). Investigation of metrics for assessing human response to drone noise. International Journal of Environmental Research and Public Health, 19(6), 3152. https://doi.org/10.3390/ijerph19063152

Novel electric air transportation is emerging as an industry that could help to improve the lives of people living in both metropolitan and rural areas through integration into infrastructure and services. However, as this new resource of accessibili... Read More about Investigation of metrics for assessing human response to drone noise.

Study on fair and equitable distribution of aircraft at Gatwick (2022)
Report
Torija Martinez, A., Clark, C., Lavia, L., Manuel, G., & Lomax, C. Study on fair and equitable distribution of aircraft at Gatwick

Fair and Equitable Dispersion (FED) was introduced in 2015 as an aspirational objective among others, by communities affected by noise from aircraft using London’s Gatwick Airport. The airport’s Noise Management Board (NMB) was established as a resul... Read More about Study on fair and equitable distribution of aircraft at Gatwick.

Agent-based ethical decision-making control optimization framework for self-driving vehicles (2022)
Thesis
Yusha'u, S. (2022). Agent-based ethical decision-making control optimization framework for self-driving vehicles. (Thesis). University of Salford

When driving, humans balance values like safety, legality, and mobility. When sharing the road with humans, an autonomous vehicle will likely use the same values. Incorporating human values into algorithm design is tough for self-driving vehicle engi... Read More about Agent-based ethical decision-making control optimization framework for self-driving vehicles.

Thermal fatigue analysis of pavement design using hydrated lime modified asphalt concrete (2022)
Journal Article
Wang, Y., Al Ashaibi, A., Albayati, A., & Haynes, B. (2022). Thermal fatigue analysis of pavement design using hydrated lime modified asphalt concrete. International journal of pavement engineering & asphalt technology, 23, https://doi.org/10.1515/ijpeat-2016-0050

A previous experimental study has suggested that asphalt concrete using hydrated lime to partially replace the conventional limestone dust filler at 2.5% by the total weight of all aggregates had an optimum improvement on the key mechanical propert... Read More about Thermal fatigue analysis of pavement design using hydrated lime modified asphalt concrete.