All Outputs (630)

TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks (2023)
Journal Article
Ullah, S., Ahmad, J., Khan, M. A., Alshehri, M. S., Boulila, W., Koubaa, A., Jan, S. U., & Iqbal Ch, M. M. (2023). TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks. Computer Networks, 237, Article 110072. https://doi.org/10.1016/j.comnet.2023.110072

The Internet of Things (IoT) is a global network that connects a large number of smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to-machine communication, widely adopted in IoT networks. Various smart device... Read More about TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks.

A Review of Common PV Array Configuration Schemes for Maximum Output Power (2023)
Presentation / Conference Contribution
Ting, L. S. Y., Afrouzi, H. N., Chua, H. S., & Ahmed, J. (2022, November). A Review of Common PV Array Configuration Schemes for Maximum Output Power. Presented at 6th International Conference on Mechanical, Manufacturing and Plant Engineering, Kuala Lumpur, Malaysia

Partial shading of a PV array is a key concern in PV systems since it results in significant decrement of output power. The drop in output power is caused by non-uniform irradiances experienced by the PV array. Various PV array configuration schemes... Read More about A Review of Common PV Array Configuration Schemes for Maximum Output Power.

Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment (2023)
Journal Article
Osunsanmi, T. O., Okafor, C. C., & Ohis Aigbavboa, C. (2025). Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment. Journal of Facilities Management, 23(2), 209-230. https://doi.org/10.1108/jfm-01-2023-0006

Purpose
The implementation of smart maintenance (SM) has greatly benefited facility managers, construction project managers and other stakeholders within the built environment. Unfortunately, its actualization for stakeholders in the built environme... Read More about Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment.

Non-Linear Model Predictive Speed Control of Six Phase Squirrel Cage Generator in Wind Energy System (2023)
Presentation / Conference Contribution
Abdulwahab, I., Musa, U., Sarip, S., Mas'ud, A. A., Muhammad-Sukki, F., Faskari, S. A., & Mahmud, A. T. (2023, August). Non-Linear Model Predictive Speed Control of Six Phase Squirrel Cage Generator in Wind Energy System. Presented at 2023 IEEE 6th International Conference on Electrical, Electronics, and System Engineering (ICEESE), Kuala Lumpur, Malaysia

Due to the intermittent nature of wind, varying wind speed causes imbalance in the current of the six phase squirrel cage induction generator (SCIG). These changes in the input signal create inbalance in the current and therefore causes deviations in... Read More about Non-Linear Model Predictive Speed Control of Six Phase Squirrel Cage Generator in Wind Energy System.

Robotics and Autonomous Systems for Environmental Sustainability: Monitoring Terrestrial Biodiversity (2023)
Preprint / Working Paper
Pringle, S., Davies, Z. G., Goddard, M. A., Dallimer, M., Hart, E., Le Goff, L., & Langdale, S. J. Robotics and Autonomous Systems for Environmental Sustainability: Monitoring Terrestrial Biodiversity

Welcome to the UK-RAS White paper Series on Robotics and Autonomous Systems (RAS). This is one of the core activities of UK-RAS Network, funded by the Engineering and Physical Sciences Research Council (EPSRC). By Bringing together academic centres o... Read More about Robotics and Autonomous Systems for Environmental Sustainability: Monitoring Terrestrial Biodiversity.

MAGRU-IDS: A Multi-Head Attention-based Gated Recurrent Unit for Intrusion Detection in IIoT Networks (2023)
Journal Article
Ullah, S., Boulila, W., Koubaa, A., & Ahmad, J. (2023). MAGRU-IDS: A Multi-Head Attention-based Gated Recurrent Unit for Intrusion Detection in IIoT Networks. IEEE Access, 11, 114590-114601. https://doi.org/10.1109/access.2023.3324657

The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial environments amplifies the potential for security breaches and compromises. To monitor IIoT networks, intrusion detection systems (IDS) have been introduced to detect... Read More about MAGRU-IDS: A Multi-Head Attention-based Gated Recurrent Unit for Intrusion Detection in IIoT Networks.

Embodied carbon quantification of luminaires using life cycle assessment and CIBSE TM65 methodologies: A comparison case study (2023)
Journal Article
Mazzei, I., Saint, R., Kay, A., & Pomponi, F. (2024). Embodied carbon quantification of luminaires using life cycle assessment and CIBSE TM65 methodologies: A comparison case study. Journal of Industrial Ecology, 28(1), 59-73. https://doi.org/10.1111/jiec.13449

The European legislative landscape on sustainability is steadily growing to meet objectives to reach net zero targets by mid‐century. In this context, companies and manufacturers may soon be legally required to provide quantification of the environme... Read More about Embodied carbon quantification of luminaires using life cycle assessment and CIBSE TM65 methodologies: A comparison case study.

Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges (2023)
Journal Article
Liu, Q., Yang, Z., Ji, R., Zhang, Y., Bilal, M., Liu, X., Vimal, S., & Xu, X. (2023). Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges. IEEE Systems, Man, and Cybernetics Magazine, 9(4), 4-12. https://doi.org/10.1109/msmc.2022.3216943

Radars are widely used to obtain echo information for effective prediction, such as precipitation nowcasting. In this article, recent relevant scientific investigation and practical efforts using deep learning (DL) models for weather radar data analy... Read More about Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges.

An empirical analysis of the factors influencing Scottish residents’ compliance with COVID-19 travel restrictions (2023)
Journal Article
Semple, T., Fonzone, A., Fountas, G., & Downey, L. (2023). An empirical analysis of the factors influencing Scottish residents’ compliance with COVID-19 travel restrictions. Transportation Research Part A: Policy and Practice, 178, Article 103842. https://doi.org/10.1016/j.tra.2023.103842

This study uses survey data to investigate the factors affecting compliance with the Scottish Government’s COVID-19 travel restrictions. The survey contained self-reported data (n=819) regarding various aspects of Scottish residents’ COVID-19 travel... Read More about An empirical analysis of the factors influencing Scottish residents’ compliance with COVID-19 travel restrictions.

Strength grading options for unusual resources (2023)
Presentation / Conference Contribution
Cramer, M., & Ridley-Ellis, D. (2023, October). Strength grading options for unusual resources. Paper presented at WSE: 19th Annual Meeting of the Northern European Network for Wood Science and Engineering, Oslo, Norway

DenMerD: A Feature Propagation Enhanced Approach to Beam Blockage Correction in Weather Radar (2023)
Journal Article
Liu, Q., Sun, J., & Liu, X. (in press). DenMerD: A Feature Propagation Enhanced Approach to Beam Blockage Correction in Weather Radar. Journal on Artificial Intelligence,

In the realm of meteorological research, extensive global radar networks serve to detect and provide early warnings for a diverse array of weather phenomena. However, the inherently discontinuous nature of radar observations often results in the pres... Read More about DenMerD: A Feature Propagation Enhanced Approach to Beam Blockage Correction in Weather Radar.

A high-performance pH-sensitive electrode integrated with a multi-sensing probe for online water quality monitoring (2023)
Journal Article
Uppuluri, K., Szwagierczak, D., Fernandes, L., Zaraska, K., Lange, I., Synkiewicz-Musialska, B., & Manjakkal, L. (2023). A high-performance pH-sensitive electrode integrated with a multi-sensing probe for online water quality monitoring. Journal of Materials Chemistry C, 44, 15512-15520. https://doi.org/10.1039/d3tc02646a

Water quality monitoring is an essential tool in effective environmental and public health protection. This study presents a new screen-printed Co2O3–RuO2-based electrode for electrochemical pH sensing and its comprehensive morphological, composition... Read More about A high-performance pH-sensitive electrode integrated with a multi-sensing probe for online water quality monitoring.

FASS: Firefighter Audio Safety Systems (2023)
Presentation / Conference Contribution
Elliot, A., & McGregor, I. (2023, August). FASS: Firefighter Audio Safety Systems. Presented at AM '23: Audio Mostly 2023, Edinburgh

A series of auditory cues were designed to assist firefighters with navigation and general safety in a fire emergency. Firefighters must maintain situational awareness at all times and this can be lost with disorientation, which is one of the main ca... Read More about FASS: Firefighter Audio Safety Systems.

Towards a Framework of Aesthetics in Sonic Interaction (2023)
Presentation / Conference Contribution
Cunningham, S., McGregor, I., Weinel, J., Darby, J., & Stockman, T. (2023, August). Towards a Framework of Aesthetics in Sonic Interaction. Presented at AM '23: Audio Mostly 2023, Edinburgh

As interaction design has advanced, increased attention has been directed to the role that aesthetics play in shaping factors of user experience. Historically stemming from philosophy and the arts, aesthetics in interaction design has gravitated towa... Read More about Towards a Framework of Aesthetics in Sonic Interaction.

Intrusion Detection Systems Using Machine Learning (2023)
Book Chapter
Taylor, W., Hussain, A., Gogate, M., Dashtipour, K., & Ahmad, J. (2024). Intrusion Detection Systems Using Machine Learning. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (75-98). Springer. https://doi.org/10.1007/978-3-031-47590-0_5

Intrusion detection systems (IDS) have developed and evolved over time to form an important component in network security. The aim of an intrusion detection system is to successfully detect intrusions within a network and to trigger alerts to system... Read More about Intrusion Detection Systems Using Machine Learning.

Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media (2023)
Book Chapter
Idrees, H., Dashtipour, K., Hussain, T., & Gogate, M. (2024). Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (219-229). Springer. https://doi.org/10.1007/978-3-031-47590-0_11

From the start of the twenty-first century, online views and clicks have only increased. Within the last twenty years that has embedded through the use of social media. Within the last ten years news can spread on social media before it is shown on t... Read More about Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media.

CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption (2023)
Presentation / Conference Contribution
Ali, H., Khan, M. S., Driss, M., Ahmad, J., Buchanan, W. J., & Pitropakis, N. (2023, October). CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption. Presented at 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Hong Kong, Hong Kong

In the era of Industrial IoT (IIoT) and Industry 4.0, ensuring secure data transmission has become a critical concern. Among other data types, images are widely transmitted and utilized across various IIoT applications, ranging from sensor-generated... Read More about CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption.

UbiFix: Tackling Repairability Challenges in Smart Devices (2023)
Presentation / Conference Contribution
Sailaja, N., Castle-Green, T., Coulton, P., Stead, M., Lindley, J. G., Urquhart, L. D., & Darzentas, D. (2023, October). UbiFix: Tackling Repairability Challenges in Smart Devices. Presented at UbiComp/ISWC '23: The 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Cancun, Quintana Roo, Mexico

IoT products are increasingly becoming the default, with non-IoT versions of common hardware (e.g., TVs and printers) harder to find. Alongside this adoption surge, lack of support, outdated security, and planned obsolescence present concerning susta... Read More about UbiFix: Tackling Repairability Challenges in Smart Devices.

Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap (2023)
Journal Article
El Boudani, B., Dagiuklas, T., Kanaris, L., Iqbal, M., & Chrysoulas, C. (2023). Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap. Electronics, 12(19), Article 4150. https://doi.org/10.3390/electronics12194150

Indoor positioning is a core enabler for various 5G identity and context-aware applications requiring precise and real-time simultaneous localisation and mapping (SLAM). In this work, we propose a K-nearest neighbours and deep neural network (K-DNN)... Read More about Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap.

Tri-Band Endfire Antenna Array with Wide Angles of Beam-Scanning Capability for 5G mmWave Mobile Communications (2023)
Presentation / Conference Contribution
Zidour, A., Ayad, M., Alibakhshikenari, M., Basherlou, H. J., Parchin, N. O., & See, C. H. (2023, October). Tri-Band Endfire Antenna Array with Wide Angles of Beam-Scanning Capability for 5G mmWave Mobile Communications. Paper presented at IEEE MTTW Conference 2023, Riga, Latvia

In this paper, a novel multiband phased array antenna with endfire radiation pattern is designed at millimeter-wave (mmWave) frequency bands for 5G mobile applications. The proposed antenna element is a compact quasi-Yagi with a modified dipole drive... Read More about Tri-Band Endfire Antenna Array with Wide Angles of Beam-Scanning Capability for 5G mmWave Mobile Communications.