Outputs (375)

Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks (2024)
Presentation / Conference Contribution
Baird, I., Ghaleb, B., Wadhaj, I., Russell, G., & Buchanan, W. J. (2024, June). Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks. Presented at 4th International Conference on Robotics and Control Engineering, Edinburgh

This paper introduces an innovative strategy for countering Sybil and DODAG Information Solicitation (DIS) flood attacks within lightweight Internet of Things (IoT) networks. The proposed method combines a one-way hash chain with a Bloom filter, leve... Read More about Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks.

Low-cost multiband four-port Phased array antenna for sub-6 GHz 5G applications with enhanced gain methodology in Radio-over-fiber systems using modulation instability (2024)
Journal Article
Zakeri, H., Azizpour, R., Khoddami, P., Moradi, G., Alibakhshikenari, M., See, C. H., Denidni, T. A., Falcone, F., Koziel, S., & Limiti, E. (2024). Low-cost multiband four-port Phased array antenna for sub-6 GHz 5G applications with enhanced gain methodology in Radio-over-fiber systems using modulation instability. IEEE Access, 12, 117787-117799. https://doi.org/10.1109/access.2024.3446313

Phased array antenna (PAA) technology is essential for applications requiring high gain and wide bandwidth, such as sensors, medical, and 5G. Achieving such a design, however, is a challenging and intricate process that calls for precise calculations... Read More about Low-cost multiband four-port Phased array antenna for sub-6 GHz 5G applications with enhanced gain methodology in Radio-over-fiber systems using modulation instability.

Thermophysical properties of tetrabutylammonium chloride, paraffin and fatty acids for thermal energy applications (2024)
Journal Article
Costa, T., Sanchez-Vicente, Y., Yang, Z., Stevens, L. A., Dias, F. D. S., & Costa Pereira, S.-C. (2024). Thermophysical properties of tetrabutylammonium chloride, paraffin and fatty acids for thermal energy applications. RSC Advances, 14(36), 26246-26258. https://doi.org/10.1039/d4ra03782k

Investigating the thermophysical properties of substances is crucial for using them as phase change materials (PCMs) and heat transfer fluids (HTFs) in thermal energy applications. In this study, the thermophysical properties of three medium-temperat... Read More about Thermophysical properties of tetrabutylammonium chloride, paraffin and fatty acids for thermal energy applications.

Bioplastic Based Multifunctional Conductive Blend Nanocomposites (2024)
Book Chapter
Salehiyan, R., & Soleymani Eil Bakhtiari, S. (2024). Bioplastic Based Multifunctional Conductive Blend Nanocomposites. In Reference Module in Materials Science and Materials Engineering. Elsevier. https://doi.org/10.1016/b978-0-323-95486-0.00064-8

Bio-based plastics have become popular among researchers and industries due to their potential contributions towards a more sustainable environment. Up to date, there have been numerous studies around development of bioplastics and their future appli... Read More about Bioplastic Based Multifunctional Conductive Blend Nanocomposites.

Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines (2024)
Book Chapter
Demeke, W. (2024). Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines. In Transforming School Systems Through Assessment, Technology, and Non-Traditional Learning Methods (101-130). IGI Global. https://doi.org/10.4018/979-8-3693-8130-4.ch005

Social media's integration into higher education is profound, serving as a dynamic tool for enhancing teaching and learning processes. While social media platforms like YouTube and Instagram cater to both educational content and social connectivity,... Read More about Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines.

Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices (2024)
Preprint / Working Paper
Watt, T., Chrysoulas, C., & Barclay, P. J. Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices

Image classification usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural areas. TinyML aims to solve this problem by hosting AI assistants on constrained devices, elim... Read More about Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices.

A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs (2024)
Journal Article
Tmamna, J., Fourati, R., Ayed, E. B., Passos, L. A., Papa, J. P., Ayed, M. B., & Hussain, A. (2024). A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. Neurocomputing, 608, Article 128378. https://doi.org/10.1016/j.neucom.2024.128378

Deep Convolutional Neural Networks (CNNs), continue to demonstrate remarkable performance across various tasks. However, their computational demands and energy consumption present significant drawbacks, restricting their practical deployment and cont... Read More about A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs.

Resisting the gendered categorisation of Computing and Engineering (2024)
Presentation / Conference Contribution
Taylor-Smith, E., & Smith, S. (2024, December). Resisting the gendered categorisation of Computing and Engineering. Paper presented at 2024 SRHE International Research Conference, Nottingham

As information infrastructures increasingly shape decisions that affect us, especially through the undertow of artificial intelligence, it is essential that women and gender minorities are well-represented across computing and engineering. However, t... Read More about Resisting the gendered categorisation of Computing and Engineering.

Activity theory analysis of training for workplace mentors in apprenticeship degrees (2024)
Presentation / Conference Contribution
Taylor-Smith, E., & Smith, S. (2024, December). Activity theory analysis of training for workplace mentors in apprenticeship degrees. Paper presented at 2024 SRHE International Research Conference, Nottingham

Apprenticeship degrees bring the radical possibility of higher education without debt. They also require taking learning off-campus and into the workplace, collaborating with employers on credit-bearing workplace learning, inclusion, and widening acc... Read More about Activity theory analysis of training for workplace mentors in apprenticeship degrees.

Reinforcement Q-Learning for PDF Tracking Control of Stochastic Systems with Unknown Dynamics (2024)
Journal Article
Yang, W., Zhou, Y., Zhang, Y., & Ren, Y. (2024). Reinforcement Q-Learning for PDF Tracking Control of Stochastic Systems with Unknown Dynamics. Mathematics, 12(16), Article 2499. https://doi.org/10.3390/math12162499

Tracking control of the output probability density function presents significant challenges, particularly when dealing with unknown system models and multiplicative noise disturbances. To address these challenges, this paper introduces a novel tracki... Read More about Reinforcement Q-Learning for PDF Tracking Control of Stochastic Systems with Unknown Dynamics.