Skip to main content

Research Repository

Advanced Search

All Outputs (606)

A forensic analysis of streaming platforms on Android OS (2022)
Journal Article
Murias, J. G., Levick, D., & McKeown, S. (2023). A forensic analysis of streaming platforms on Android OS. Forensic Science International: Digital Investigation, 44, Article 301485. https://doi.org/10.1016/j.fsidi.2022.301485

This work builds on existing research in streamed video reconstruction on the Android OS, which previously demonstrated that caching occurs in most cases for the Chrome and Firefox Web browsers. Prior work also outlined that streaming application cac... Read More about A forensic analysis of streaming platforms on Android OS.

Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers (2022)
Book Chapter
Yang, L., Cai, Z., Li, C., Guo, C., & He, Q. (2023). Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers. In J. Miocic, N. Heinemann, K. Edlmann, J. Alcalde, & R. Schultz (Eds.), Enabling Secure Subsurface Storage in Future Energy Systems. Geological Society. https://doi.org/10.1144/sp528-2022-74

Aquifers have advantages over salt caverns as the storage vessels for compressed air energy storage due to their wider availability for suitable sites and lower one-off capital investment for construction. We conducted numerical simulations for compr... Read More about Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers.

Mobilising more women into computing (2022)
Presentation / Conference Contribution
Taylor-Smith, E., Shankland, C., Smith, S., & Barr, M. (2022, December). Mobilising more women into computing. Paper presented at Mobilities in Higher Education: SRHE International Conference 2022, Online

According to HESA data, UK universities' computing departments continue to suffer from a gender imbalance, where at present only 21% of students are female. This imbalance can deter women and non-binary people from applying and also be challenging fo... Read More about Mobilising more women into computing.

GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks (2022)
Presentation / Conference Contribution
Bilen, T., & Canberk, B. (2022). GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks. In GLOBECOM 2022 - 2022 IEEE Global Communications Conference (5989-5994). https://doi.org/10.1109/globecom48099.2022.10001102

Aeronautical Ad-hoc Networks (AANET) is a fairly new concept that connects airplanes via wireless air-to-air links, allowing passengers to access the Internet during a flight. The unstable air-to-air link characteristics and ultra-dynamic topology be... Read More about GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks.

Energy storage properties in Nd doped AgNbTaO3 lead-free antiferroelectric ceramics with Nb-site vacancies (2022)
Journal Article
Lu, Z., Sun, D., Wang, G., Zhao, J., Zhang, B., Wang, D., & Shyha, I. (2023). Energy storage properties in Nd doped AgNbTaO3 lead-free antiferroelectric ceramics with Nb-site vacancies. Journal of Advanced Dielectrics, 13(01), Article 2242006. https://doi.org/10.1142/s2010135x22420061

It is crucial to discover lead-free materials with ultrahigh recoverable energy density (Wrec) that can be employed in future pulse power capacitors. In this work, a high Wrec of 4.51 J/cm3 was successfully obtained in lead-free Nd-doped AgNb0.8Ta0.... Read More about Energy storage properties in Nd doped AgNbTaO3 lead-free antiferroelectric ceramics with Nb-site vacancies.

Use of Cement Mortar Incorporating Superabsorbent Polymer as a Passive Fire-Protective Layer (2022)
Journal Article
Jamnam, S., Sua-iam, G., Maho, B., Pianfuengfoo, S., Sappakittipakorn, M., Zhang, H., Limkatanyu, S., & Sukontasukkul, P. (2022). Use of Cement Mortar Incorporating Superabsorbent Polymer as a Passive Fire-Protective Layer. Polymers, 14(23), Article 5266. https://doi.org/10.3390/polym14235266

Concrete structures, when exposed to fire or high temperatures for a certain time, could suffer partial damage or complete structural failure. Passive fire-protective coating materials are an al-ternative way to prevent or delay damage to concrete st... Read More about Use of Cement Mortar Incorporating Superabsorbent Polymer as a Passive Fire-Protective Layer.

Wood properties & strength grading (2022)
Presentation / Conference Contribution
Ridley-Ellis, D. (2022, December). Wood properties & strength grading. Presented at James Jones & Sons Architects' and Structural Engineers' Open Day, Lockerbie

James Jones & Sons held an open day for architects and structural engineers at its flagship sawmill site in Lockerbie. "James Jones & Sons' new visitor building at its flagship sawmill site in Lockerbie has attracted considerable interest in the... Read More about Wood properties & strength grading.

Accelerating neural network architecture search using multi-GPU high-performance computing (2022)
Journal Article
Lupión, M., Cruz, N. C., Sanjuan, J. F., Paechter, B., & Ortigosa, P. M. (2023). Accelerating neural network architecture search using multi-GPU high-performance computing. Journal of Supercomputing, 79, 7609-7625. https://doi.org/10.1007/s11227-022-04960-z

Neural networks stand out from artificial intelligence because they can complete challenging tasks, such as image classification. However, designing a neural network for a particular problem requires experience and tedious trial and error. Automating... Read More about Accelerating neural network architecture search using multi-GPU high-performance computing.

Generating real-time detailed ground visualisations from sparse aerial point clouds (2022)
Presentation / Conference Contribution
Murray, A., Mitchell, S., Bradley, A., Waite, E., Ross, C., Jamrozy, J., & Mitchell, K. (2022, December). Generating real-time detailed ground visualisations from sparse aerial point clouds. Paper presented at CVMP 2022: The 19th ACM SIGGRAPH European Conference on Visual Media Production, London

We present an informed kind of atomic rendering primitive, which forms a local adjacency aware classified particle basis decoupled from texture and topology. Suited to visual synthesis of detailed landscapes inferred from sparse unevenly distributed... Read More about Generating real-time detailed ground visualisations from sparse aerial point clouds.

Developing Strategic Partnerships through a Sustainability Enrichment Week (2022)
Presentation / Conference Contribution
Hitt, S. J., Hairstans, R., Leitch, K., & Connell-Skinner, K. (2022, September). Developing Strategic Partnerships through a Sustainability Enrichment Week. Presented at SEFI Annual Conference, Barcelona

This paper describes the development of a mini-module focused on sustainability and timber engineering as a component of a strategic partnership designed to broaden Transnational Education, increase staff/student mobility, and further develop industr... Read More about Developing Strategic Partnerships through a Sustainability Enrichment Week.

Quantum Dynamic Optimization Algorithm for Neural Architecture Search on Image Classification (2022)
Journal Article
Jin, J., Zhang, Q., He, J., & Yu, H. (2022). Quantum Dynamic Optimization Algorithm for Neural Architecture Search on Image Classification. Electronics, 11(23), Article 3969. https://doi.org/10.3390/electronics11233969

Deep neural networks have proven to be effective in solving computer vision and natural language processing problems. To fully leverage its power, manually designed network templates, i.e., Residual Networks, are introduced to deal with various visio... Read More about Quantum Dynamic Optimization Algorithm for Neural Architecture Search on Image Classification.

Assessment of symmetries and asymmetries on barriers to circular economy adoption in the construction industry towards zero waste: A survey of international experts (2022)
Journal Article
Oluleye, B. I., Chan, D. W., Olawumi, T. O., & Saka, A. B. (2023). Assessment of symmetries and asymmetries on barriers to circular economy adoption in the construction industry towards zero waste: A survey of international experts. Building and Environment, 228, Article 109885. https://doi.org/10.1016/j.buildenv.2022.109885

This study evaluates simultaneously the symmetries and asymmetries on the classification of barriers to circular economy (CE) adoption in the building construction industry (BCI) of developing and developed economies. This is crucial because the vagu... Read More about Assessment of symmetries and asymmetries on barriers to circular economy adoption in the construction industry towards zero waste: A survey of international experts.

Fusing external knowledge resources for natural language understanding techniques: A survey (2022)
Journal Article
Wang, Y., Wang, W., Chen, Q., Huang, K., Nguyen, A., De, S., & Hussain, A. (2023). Fusing external knowledge resources for natural language understanding techniques: A survey. Information Fusion, 92, 190-204. https://doi.org/10.1016/j.inffus.2022.11.025

Knowledge resources, e.g. knowledge graphs, which formally represent essential semantics and information for logic inference and reasoning, can compensate for the unawareness nature of many natural language processing techniques based on deep neural... Read More about Fusing external knowledge resources for natural language understanding techniques: A survey.

Internet of drones security: taxonomies, open issues, and future directions (2022)
Journal Article
Derhab, A., Cheikhrouhou, O., Allouch, A., Koubaa, A., Qureshi, B., Ferrag, M. A., Maglaras, L., & Khan, F. A. (2023). Internet of drones security: taxonomies, open issues, and future directions. Vehicular Communications, 39, Article 100552. https://doi.org/10.1016/j.vehcom.2022.100552

Unmanned Aerial Vehicles (UAVs), also known as drones, have recently become one of the most important technological breakthroughs. They have opened the horizon for a vast array of applications and paved the way for a diversity of innovative solutions... Read More about Internet of drones security: taxonomies, open issues, and future directions.

Universally Hard Hamiltonian Cycle Problem Instances (2022)
Presentation / Conference Contribution
Sleegers, J., Thomson, S. L., & van den Berg, D. (2022, November). Universally Hard Hamiltonian Cycle Problem Instances. Presented at ECTA 2022 : 14th International Conference on Evolutionary Computation Theory and Applications, Valletta, Malta

In 2021, evolutionary algorithms found the hardest-known yes and no instances for the Hamiltonian cycle problem. These instances, which show regularity patterns, require a very high number of recursions for the best exact backtracking algorithm (Vand... Read More about Universally Hard Hamiltonian Cycle Problem Instances.

Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images (2022)
Journal Article
Liu, Y., Shen, J., Yang, L., Yu, H., & Bian, G. (2023). Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images. Computers in Biology and Medicine, 152, Article 106341. https://doi.org/10.1016/j.compbiomed.2022.106341

Accurate segmentation of retinal vessels from fundus images is fundamental for the diagnosis of numerous diseases of eye, and an automated vessel segmentation method can effectively help clinicians to make accurate diagnosis for the patients and prov... Read More about Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images.

Assessment of Ambient Air Quality in Hulu Langat District, Selangor, Malaysia (2022)
Presentation / Conference Contribution
Mohd Saudi, A., Abdullah, A., Shafii, N., Khairuddin, M., Ismail, M., Mejía, P., Kadir, K., Saudi, M., Kamarudin, M., Muhammad-Sukki, F., Ali, M., & Bani, N. (2022, November). Assessment of Ambient Air Quality in Hulu Langat District, Selangor, Malaysia. Presented at The 3rd International Conference on Medical Science Technology, Online

Air pollution is one of the most pressing environmental issues in the world. The district of Hulu Langat, bordering the capital city of Kuala Lumpur, is the focus area of the surrounding population. The district experienced a decline in air quality i... Read More about Assessment of Ambient Air Quality in Hulu Langat District, Selangor, Malaysia.

Decarbonising the Transport Industry (2022)
Presentation / Conference Contribution
Muhammad Sukki, F. (2022, November). Decarbonising the Transport Industry. Presented at Research Seminar, Edinburgh Napier University

The electric vehicles (EVs) sales in Scotland increased by 97% in 2020, but Scotland still lags behinds when compared to other locations in the UK. One of the reasons for the slow rollout is limited charging infrastructure to power the EVs especially... Read More about Decarbonising the Transport Industry.

Low‐gain integral control for a class of discrete‐time Lur'e systems with applications to sampled‐data control (2022)
Journal Article
Guiver, C., Rebarber, R., & Townley, S. (2023). Low‐gain integral control for a class of discrete‐time Lur'e systems with applications to sampled‐data control. International Journal of Robust and Nonlinear Control, 33(3), 1410-1437. https://doi.org/10.1002/rnc.6455

We study low-gain (P)roportional (I)ntegral control of multivariate discrete-time, forced Lur’e systems to solve the output-tracking problem for constant reference signals. We formulate an incremental sector condition which is sufficient for a usual... Read More about Low‐gain integral control for a class of discrete‐time Lur'e systems with applications to sampled‐data control.