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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.

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.

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.

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.

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 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.

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.

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.

Qualitative investigating on the effect of fine water spray and its orientation in mitigating vapour cloud explosions (2021)
Presentation / Conference
Johnson, A., Nasr, G., Nourian, A., & Abba, M. (2021, August). Qualitative investigating on the effect of fine water spray and its orientation in mitigating vapour cloud explosions. Presented at ICLASS 2021, 15th Triennial International Conference on Liquid Atomization and Spray Systems, Edinburgh, UK

For past decades, various industries, such as oil and gas, have come to realisation that using water-based spraying systems, with fine very fine droplets should be the preferred option in mitigating and suppressing the thermal explosions. Previous st... Read More about Qualitative investigating on the effect of fine water spray and its orientation in mitigating vapour cloud explosions.

Qualitative analysis of spray characteristics of impinging jets using a gelled non-Newtonian propellant simulant (2021)
Presentation / Conference
Darvan, A., Kebriaee, A., Nouri-Borujerdi, A., & Nourian, A. (2021, August). Qualitative analysis of spray characteristics of impinging jets using a gelled non-Newtonian propellant simulant. Presented at ICLASS 2021, 15th Triennial International Conference on Liquid Atomization and Spray Systems, Edinburgh, UK

The utilization of liquid and solid fuels for propulsion and combustion processes with Newtonian characteristics are widely known. However, recent studies are considering the application of shear-thinning non-Newtonian fuels as alternative simulant s... Read More about Qualitative analysis of spray characteristics of impinging jets using a gelled non-Newtonian propellant simulant.

Movies emotional analysis using textual contents (2020)
Presentation / Conference
Kayhani, A., Meziane, F., & Chiky, R. (2020, June). Movies emotional analysis using textual contents. Presented at 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, Saarbrücken, Germany

In this paper, we use movies and series subtitles and applied text mining and Natural Language Processing methods to evaluate emotions in videos. Three different word lexicons were used and one of the outcomes of this research is the generation of a... Read More about Movies emotional analysis using textual contents.

Fast speech intelligibility estimation using a neural network trained via distillation (2020)
Presentation / Conference
Cox, T., Bailey, W., & Tang, Y. (2020, January). Fast speech intelligibility estimation using a neural network trained via distillation. Poster presented at 12th Speech in Noise Workshop, Toulouse, France

Objective measures of speech intelligibility have many uses, including the evaluation of degradation during transmission and the development of processing algorithms. One intrusive approach is to use a method based on the audibility of speech glimpse... Read More about Fast speech intelligibility estimation using a neural network trained via distillation.

Autistic listening (2019)
Presentation / Conference
Davies, W. (2019, November). Autistic listening. Presented at Aural Diversity, Leicester, UK

Autism is a lifelong neurodevelopmental condition diagnosed by differences in social interaction and communication. Most autistic people also experience atypical sensory processing (e.g., a heightened sensitivity to sound or texture). Nearly all auti... Read More about Autistic listening.

Predicting road traffic accident severity using decision trees and time-series calendar heatmaps (2019)
Presentation / Conference
Silva, H., & Saraee, M. (2019, November). Predicting road traffic accident severity using decision trees and time-series calendar heatmaps. Presented at The 6th IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (2019 IEEE CSUDET), Penang, Malaysia

The European Commission estimates that around
135,000 people are seriously injured on Europe's roads each
year. The road traffic injuries are a significant but neglected
global general public health problem, needing rigorous attempts
for effectiv... Read More about Predicting road traffic accident severity using decision trees and time-series calendar heatmaps.

Predictive modelling in mental health : a data science approach (2019)
Presentation / Conference
Saraee, M., Silva, H., & Saraee, M. (2019, November). Predictive modelling in mental health : a data science approach. Presented at 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (IEEE CSUDET), Penang, Malaysia

In national and local level, understanding of factors associated with public health issues like mental health is paramount important. This framework evaluation aims to use the decision Tree technique to improve the degree of understanding of the ment... Read More about Predictive modelling in mental health : a data science approach.

Plantar fascia ultrasound images characterization and classification using support vector machine (2019)
Presentation / Conference
Boussouar, A., Meziane, F., & Walton, L. (2019, October). Plantar fascia ultrasound images characterization and classification using support vector machine. Presented at The 5th International Conference on Advanced Intelligent Systems and Applications, Cairo, Egypt

The examination of plantar fascia (PF) ultrasound (US) images is subjective and based on the visual perceptions and manual biometric measurements carried out by medical experts. US images feature extraction, characterization and classification have b... Read More about Plantar fascia ultrasound images characterization and classification using support vector machine.

Modeling the behavior of radially pinned brick triplets (2019)
Presentation / Conference
Haynes, J., Naggasa, A., Augusthus-Nelson, L., El-basir, F., & Alsaleh, A. (2019, October). Modeling the behavior of radially pinned brick triplets. Presented at 9th International Conference on Arch Bridges, Porto, Portugal

The continued use of many UK highway and railway masonry arch bridges is dependent upon maintaining robustness as the materials deteriorate over time. A common failure in multi-ring brickwork arches subject to fatigue, is ring separation.
This pape... Read More about Modeling the behavior of radially pinned brick triplets.

Pupil dilation reveals changes in listening effort due to energetic and informational masking (2019)
Presentation / Conference
Woodcock, J., Fazenda, B., Cox, T., & Davies, W. (2019, September). Pupil dilation reveals changes in listening effort due to energetic and informational masking. Presented at ICA 2019, Aachen, Germany

Pupil dilation has previously been shown to be a useful involuntary marker of listening effort. An inverse relationship between pupil diameter and signal to noise ratio has been shown when speech is energetically masked by noise. The work reported he... Read More about Pupil dilation reveals changes in listening effort due to energetic and informational masking.

Adding the room to the mix : perceptual aspects of modal resonance in live audio (2019)
Presentation / Conference
Fazenda, B., Bolla, C., & Palladini, A. (2019, September). Adding the room to the mix : perceptual aspects of modal resonance in live audio. Presented at 5th Workshop on Intelligent Music Production, Birmingham, UK

The problem of room acoustics correction in live sound is still an open one. In particular, the audible artefacts caused by low frequency resonances are still a major factor in determining the perceived quality of a live show.
Despite many years of... Read More about Adding the room to the mix : perceptual aspects of modal resonance in live audio.