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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
Al-Mosawe, H., Albayati, A., Wang, Y., & Mashaan, N. S. (2022). An Experimental Study of Granular Material Using Recycled 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. 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.

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.

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.

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, A. J. (2022). Requirements for Drone Operations to Minimise Community Noise Impact. International Journal of Environmental Research and Public Health, 19(15), 9299. https://doi.org/10.3390/ijerph19159299

The number of applications for drones under R&D have growth significantly during the last few years; however, the wider adoption of these technologies requires ensuring public trust and acceptance. Noise has been identified as one of the key concerns... 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.

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), 7827. https://doi.org/10.3390/su14137827

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 deteriorat... 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.

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.