A Novel Practice-Based Process Model for Secure Agile Software Development (2024)
Thesis

Nigeria is ranked second globally after India in reported incidences of cyberattacks. Attackers usually exploit vulnerabilities in software which may not have considered security features during the development process. Agile methodologies are a well... Read More about A Novel Practice-Based Process Model for Secure Agile Software Development.

Multiclass Classification and Defect Detection of Steel tube using modified YOLO (2023)
Presentation / Conference Contribution

Steel tubes are widely used in hazardous high pressure environments such as petroleum, chemicals, natural gas and shale gas. Defects in steel tubes have serious negative consequences. Using deep learning object recognition to identify and detect defe... Read More about Multiclass Classification and Defect Detection of Steel tube using modified YOLO.

Extending the Low Frequency Acoustic Centre Concept to Directional Loudspeakers (2023)
Presentation / Conference Contribution

The Acoustic Centre of a loudspeaker is defined as being the point from which spherical waves appear to radiate. This is useful to know when performing phase, level, or time alignment, for example. For a single driver in a sealed box, it is typically... Read More about Extending the Low Frequency Acoustic Centre Concept to Directional Loudspeakers.

Adventures in High Intensity Acoustic Testing: a Loudspeaker System for Small-Scale Tests (2023)
Presentation / Conference Contribution

In the space and aerospace industry, there is a need to perform High Intensity Acoustic Testing (HIAT). This aims to recreate in the laboratory, for the purpose of qualification testing, the extreme acoustic environments that designs must survive in... Read More about Adventures in High Intensity Acoustic Testing: a Loudspeaker System for Small-Scale Tests.

How Can Big Data Analytics Improve Outbound Logistics in The UK Retail Sector? A Qualitative Study (2023)
Journal Article
Ali, M., & Essien, A. (2023). How Can Big Data Analytics Improve Outbound Logistics in The UK Retail Sector? A Qualitative Study. Journal of Enterprise Information Management, https://doi.org/10.1108/JEIM-08-2022-0282

Purpose – The purpose of this study is to explore how big data analytics (BDA) as a potential information technology (IT) innovation can facilitate the retail logistics supply chain (SC) from the perspective of outbound logistics operations in the Un... Read More about How Can Big Data Analytics Improve Outbound Logistics in The UK Retail Sector? A Qualitative Study.

The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes (2023)
Presentation / Conference Contribution

This paper reports on the design and outcomes of the 2nd Clarity Enhancement Challenge (CEC2), a challenge for stimulating novel approaches to hearing-aid speech intelligibility enhancement. The challenge was for a listener attending to a target spea... Read More about The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes.

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.

A comparison between the high-frequency Boundary Element Method and Surface-Based Geometrical Acoustics (2023)
Journal Article
Hargreaves, J. (2023). A comparison between the high-frequency Boundary Element Method and Surface-Based Geometrical Acoustics. https://doi.org/10.3397/in_2022_1005

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.

LIFT the AV: Location InFerence aTtack on Autonomous Vehicle Camera Data (2023)
Presentation / Conference Contribution

Connected and autonomous vehicles (CAVs) are one of the main representatives of cyber-physical systems (CPS), where the digital data generated in several forms, such as geolocation, distance, and camera data, are used for the physical functionality o... Read More about LIFT the AV: Location InFerence aTtack on Autonomous Vehicle Camera Data.

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.

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.

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.

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.

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.