Outputs (421)

An international review of building standards and guidelines on thermal comfort and ventilation for school buildings (2024)
Presentation / Conference Contribution
Bain-Reguis, N., & Smith, A. (2024, September). An international review of building standards and guidelines on thermal comfort and ventilation for school buildings. Presented at TWR2024, Edinburgh

This paper reviews and discusses thermal comfort and ventilation standards and guidelines in educational buildings in selected countries around the World, alongside the guidelines from the World Health Organization (WHO), the American Society of Heat... Read More about An international review of building standards and guidelines on thermal comfort and ventilation for school buildings.

Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder (2024)
Journal Article
Hasan, M. N., Jan, S. U., & Koo, I. (2024). Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder. Applied Sciences, 14(17), Article 7717. https://doi.org/10.3390/app14177717

The Internet of Things (IoT) is witnessing a surge in sensor-equipped devices. The data generated by these IoT devices serve as a critical foundation for informed decision-making, real-time insights, and innovative solutions across various applicatio... Read More about Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder.

Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains (2024)
Journal Article
Baird, I., Ghaleb, B., Wadhaj, I., Russell, G., & Buchanan, W. J. (2024). Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains. Electronics, 13(17), Article 3467. https://doi.org/10.3390/electronics13173467

In the evolving landscape of the Internet of Things (IoT), ensuring the security and integrity of data transmission remains a paramount challenge. Routing Protocol for Low-Power and Lossy Networks (RPL) is commonly utilized in IoT networks to facili... Read More about Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains.

Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning (2024)
Journal Article
Chen, S., Kirton-Wingate, J., Doctor, F., Arshad, U., Dashtipour, K., Gogate, M., Halim, Z., Al-Dubai, A., Arslan, T., & Hussain, A. (online). Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning. IEEE Transactions on Fuzzy Systems, https://doi.org/10.1109/tfuzz.2024.3435050

It is estimated that by 2050 approximately one in ten individuals globally will experience disabling hearing impairment. In the presence of everyday reverberant noise, a substantial proportion of individual users encounter challenges in speech compre... Read More about Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning.

The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane (2024)
Journal Article
Elnabawy, E., Sun, D., Shearer, N., & Shyha, I. (2024). The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane. Polymer, 311, Article 127553. https://doi.org/10.1016/j.polymer.2024.127553

Electro-blow spinning represents a novel and emerging hybridised technology for producing high-quality, large-scale nanofibers. The applied pressure, accompanied by an electric field, functions as a drafting force to generate ultrafine, homogeneous n... Read More about The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane.

Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry (2024)
Presentation / Conference Contribution
Marzano, A., & Caggiano, A. (2024, July). Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry. Presented at 18th CIRP ICME '24 Conference, Ischia, Italy

This paper presents a complete digital twin framework with the purpose to aid manufacturing ergonomics and control operations in distillery industry. The focus is on the design of a digital twin framework that manages the material flow in the real sy... Read More about Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry.

Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites (2024)
Journal Article
Janjua, A. A., Younas, M., Ilyas, R. A., Shyha, I., Faisal, N. H., Inam, F., & Saharudin, M. S. (2024). Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites. Journal of Composites Science, 8(9), Article 340. https://doi.org/10.3390/jcs8090340

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While previous research has commonly predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites.

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins (2024)
Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Marzano, A., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins. Presented at 21st International Conference on Manufacturing Research (ICMR2024), Glasgow

This paper addresses a critical gap in digital twin simulation within manufacturing environments by focusing on the dynamic representation of worker movements during assembly processes. We introduce an innovative approach that utilizes Ultra-Wideband... Read More about Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins.

The Pointillist principle for variation operators and jump functions (2024)
Journal Article
Hughes, K. (online). The Pointillist principle for variation operators and jump functions. Revista de la Unión Matemática Argentina, https://doi.org/10.33044/revuma.4124

I extend the pointillist principles of Moon and Carrillo-de Guzmán to variational operators and jump functions. 1. The pointillist principle In [11], Moon observed that, for a sequence of sufficiently smooth convolution operators and any q ≥ 1, the w... Read More about The Pointillist principle for variation operators and jump functions.

Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond (2024)
Journal Article
Hussain, B., Bacha, S. F. N., Cheema, A. A., Canberk, B., & Duong, T. Q. (2024). Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond. IEEE Open Journal of the Communications Society, 5, 5667-5679. https://doi.org/10.1109/ojcoms.2024.3450089

Unmanned aerial vehicles (UAVs) are envisioned to play a pivotal role in modern telecommunication and wireless sensor networks, offering unparalleled flexibility and mobility for communication and data collection in diverse environments. This paper p... Read More about Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond.