Environmental, health and safety assessment of nanoparticle application in drilling mud – review (2023)
Journal Article
Martin, C., Nourian, A., Babaie, M., & Nasr, G. (in press). Environmental, health and safety assessment of nanoparticle application in drilling mud – review. Journal of Petroleum Science and Engineering, 226, https://doi.org/10.1016/j.geoen.2023.211767

The rapid increase in the use of engineered nanoparticles in different industrial applications makes risk assessment on human health, ecosystem and the environment necessary. Health, safety and environmental (HSE) risks of a technology are an insep... Read More about Environmental, health and safety assessment of nanoparticle application in drilling mud – review.

Closed-form analytical approach for calculating noise contours of directive aircraft noise sources (2023)
Journal Article
of directive aircraft noise sources. AIAA journal, https://doi.org/10.2514/1.J062033

This paper extends the simplified airport noise model Rapid Aviation Noise Evaluator (RANE) [Torija et al., Journal of the Acoustical Society of America, Vol. 141, No. 2, 2017, pp. 981–995], adding capability of including fully nonisotropic noise sou... Read More about Closed-form analytical approach for calculating noise contours of directive aircraft noise sources.

Can acoustic design accommodate aural diversity? (2023)
Journal Article
Davies, W. (2023). Can acoustic design accommodate aural diversity?. NOISE-CON proceedings, 8, 5064-5071. https://doi.org/10.3397/IN_2022_0732

Up to now, the acoustic design of almost everything has assumed a typical listener with "normal" hearing. This includes the physical environment (homes, workplaces, public space), products that make sound (transport, appliances, loudspeakers), and sy... Read More about Can acoustic design accommodate aural diversity?.

An optimisation of a chordwise slot to enhance lateral flow control on a UCAV (2022)
Journal Article
Ali, U., Chadwick, E., & Sugar-Gabor, O. (2022). An optimisation of a chordwise slot to enhance lateral flow control on a UCAV. Incas Bulletin, 14(4), 3-17. https://doi.org/10.13111/2066-8201.2022.14.4.1

This research aims to optimise a chordwise slot so that lateral flow control of a flying wing configuration can be enhanced. This was achieved by maximising the airflow rate over the trailing edge control surfaces of the wing. A higher rate of airf... Read More about An optimisation of a chordwise slot to enhance lateral flow control on a UCAV.

DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy (2022)
Journal Article
Adeboye, O., Dargahi, T., Babaie, M., Saraee, M., & Yu, C. (2022). DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy. IEEE Access, https://doi.org/10.1109/ACCESS.2022.3222834

Autonomous Vehicles (AVs) are equipped with several sensors which produce various forms of data, such as geo-location, distance, and camera data. The volume and utility of these data, especially camera data, have contributed to the advancement of h... Read More about DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy.

An experimental study of granular material using recycled concrete waste for pavement roadbed construction (2022)
Journal Article
concrete waste for pavement roadbed construction. Buildings, 12(11), 1926. https://doi.org/10.3390/buildings12111926

Rapid worldwide urbanization and drastic population growth have increased the demand for new road construction, which will cause a substantial amount of natural resources such as aggregates to be consumed. The use of recycled concrete aggregate could... Read More about An experimental study of granular material using recycled concrete waste for pavement roadbed construction.

Experimental study of temperature effect on the mechanical tensile fatigue of hydrated lime modified asphalt concrete and case application for the analysis of climatic effect on constructed pavement (2022)
Journal Article
constructed pavement. Case studies in construction materials, 17, https://doi.org/10.1016/j.cscm.2022.e01622

Previous experimental studies have suggested that hot mixed asphalt (HMA) concrete using hydrated lime (HL) to partially replace the conventional limestone dust filler at 2.5% by the total weight of all aggregates showed an optimum improvement on sev... Read More about Experimental study of temperature effect on the mechanical tensile fatigue of hydrated lime modified asphalt concrete and case application for the analysis of climatic effect on constructed pavement.

Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems (2022)
Presentation / Conference
Sugar-Gabor, O., & Fairchild, D. (2022, October). Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems. Presented at International Conference of Aerospace Sciences AEROSPATIAL 2022, INCAS, Bucharest, Romania

A non-intrusive reduced-order model applicable to time-dependent parametric systems is developed. The model is based on extracting a reduced-order basis from high-order snapshots via proper orthogonal decomposition. Multi-layered feedforward artifi... Read More about Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems.

Active flux scheme for time-dependent, viscous, compressible flows (2022)
Presentation / Conference
Sugar-Gabor, O. (2022, October). Active flux scheme for time-dependent, viscous, compressible flows. Presented at International Conference of Aerospace Sciences AEROSPATIAL 2022, INCAS, Bucharest, Romania

The Active Flux scheme is a Finite Volume scheme with additional degrees of freedom on the cell boundaries. These additional nodes allow for third-order accuracy to be achieved, though extensions to higher orders are also possible. Unlike Godunov-t... Read More about Active flux scheme for time-dependent, viscous, compressible flows.

Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G (2022)
Presentation / Conference
Bunu, S., Saraee, M., & Alani, O. (2022, September). Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G. Presented at The 4th International Conference on Electrical Engineering and Informatics (ICELTICs) 2022, Banda Aceh, Indonesia

Device to Device (D2D) communication in Fifth Generation (5G) and unavoidable in Beyond Fifth Generation (B5G) technology is designed to increase network capacity by offloading backhaul links and base stations traffic and improving the performanc... Read More about Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G.

Sonic enhancement of virtual exhibits (2022)
Journal Article
Al-Taie, I., Di Franco, P., Tymkiw, M., Williams, D., & Daly, I. (2022). Sonic enhancement of virtual exhibits. PLoS ONE, 17(8), https://doi.org/10.1371/journal.pone.0269370

Museums have widely embraced virtual exhibits. However, relatively little attention is paid to how sound may create a more engaging experience for audiences. To begin addressing this lacuna, we conducted an online experiment to explore how sound infl... Read More about Sonic enhancement of virtual exhibits.

A Boundary Element Method (BEM) solver for low frequency room modes (2022)
Presentation / Conference
Cicero, A., & Hargreaves, J. (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.

Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing (2022)
Presentation / Conference
Hargreaves, J. (2022, August). Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing. Presented at Internoise 2022, Glasgow, Scotland

It is well known that acoustic cavities have frequencies at which certain free-response ‘modes’ of propagation respond especially strongly. In the absence of significant damping, these cause peaks of high SPL in the frequency response as well as spat... Read More about Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing.

A comparison between the high-frequency boundary element method and surface-based geometrical acoustics (2022)
Presentation / Conference
Hargreaves, J. (2022, August). A comparison between the high-frequency boundary element method and surface-based geometrical acoustics. Presented at Internoise 2022, Glasgow, Scotland

The audible frequency range covers many octaves in which the wavelength changes from being large with respect to dominant features of a space to being comparatively much smaller. This makes numerical prediction of a space’s acoustic response, e.g. fo... Read More about A comparison between the high-frequency boundary element method and surface-based geometrical acoustics.

Raytracing in galerkin boundary integral form (2022)
Presentation / Conference
Emthyas, A., & Hargreaves, J. (2022, August). Raytracing in galerkin boundary integral form. Presented at Internoise 2022, Glasgow, Scotland

Raytracing is an established method for computing the late-time part of room impulse responses. But it has the drawback that only very crude Monte Carlo models of boundary scattering and diffraction are possible to include without losing its attracti... Read More about Raytracing in galerkin boundary integral form.

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.