All Outputs (273)

A Probability Mapping-Based Privacy Preservation Method for Social Networks (2024)
Presentation / Conference Contribution
Li, Q., Wang, Y., Wang, F., Tan, Z., & Wang, C. (2023, November). A Probability Mapping-Based Privacy Preservation Method for Social Networks. Presented at The 3rd International Conference on Ubiquitous Security 2023 (UbiSec-2023), Exeter

The mining and analysis of social networks can bring significant economic and social benefits. However, it also poses a risk of privacy leakages. Differential privacy is a de facto standard to prevent such leaks, but it suffers from the high sensitiv... Read More about A Probability Mapping-Based Privacy Preservation Method for Social Networks.

Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection (2024)
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2023, September). Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection. Presented at The 4th International Workshop on Cyber-Physical Security for Critical Infrastructures Protection (CPS4CIP 2023) - in conjunction with ESORICS 2023, The Hague, Netherlands

Opto-electrochemical variation with gel polymer electrolytes in transparent electrochemical capacitors for ionotronics (2024)
Journal Article
Kumar, C., Sebastian, A. K., Markapudi, P. R., Beg, M., Sundaram, S., Hussain, A., & Manjakkal, L. (2024). Opto-electrochemical variation with gel polymer electrolytes in transparent electrochemical capacitors for ionotronics. Applied Physics Letters, 124(11), Article 111603. https://doi.org/10.1063/5.0190801

Advanced flexible ionotronic devices have found excellent applications in the next generation of electronic skin (e-skin) development for smart wearables, robotics, and prosthesis. In this work, we developed transparent ionotronic-based flexible elec... Read More about Opto-electrochemical variation with gel polymer electrolytes in transparent electrochemical capacitors for ionotronics.

A Review on Blue Roofs in new UK Constructions (2024)
Presentation / Conference Contribution
Jack, J., & Sajjadian, S. M. (2023, September). A Review on Blue Roofs in new UK Constructions. Presented at International Conference on Sustainability in Energy and Buildings SEB-23, Bari, Italy

Flooding causes significant risk to the UK’s infrastructure and the need for additional stormwater management systems is growing rapidly. The demand for housing, lack of land, cramped housing with no gardens, urban cooling, air pollution and aestheti... Read More about A Review on Blue Roofs in new UK Constructions.

A Technical Review on Blue and Blue-Green Roofs (2024)
Presentation / Conference Contribution
Smith, R., & Sajjadian, S. M. (2023, September). A Technical Review on Blue and Blue-Green Roofs. Presented at International Conference on Sustainability in Energy and Buildings SEB-23, Bari, Italy

Increased development of Greenfield areas to tackle housing shortages, combined with increased rainfall due to climate change has created drainage issues within urban areas, this has increased pressure on existing drainage infrastructure and has inte... Read More about A Technical Review on Blue and Blue-Green Roofs.

Vacuum Insulation Panels for Domestic New Builds and Refurbishment in Scotland (2024)
Presentation / Conference Contribution
Mitchell, N., & Sajjadian, S. M. (2023, September). Vacuum Insulation Panels for Domestic New Builds and Refurbishment in Scotland. Presented at International Conference on Sustainability in Energy and Buildings SEB-23, Bari, Italy

Insulations have fundamental role in buildings’ thermal performance by assisting in reducing heat loss and excessive heat gain through the thermal envelope, which subsequently reduces the demand on heating and cooling systems. Increased energy perfor... Read More about Vacuum Insulation Panels for Domestic New Builds and Refurbishment in Scotland.

Effective Trigger Speeds for Vehicle Activated Signs on 20 mph Roads in Rural Areas (2024)
Journal Article
Olowosegun, A., Fountas, G., & Davis, A. (2024). Effective Trigger Speeds for Vehicle Activated Signs on 20 mph Roads in Rural Areas. Safety, 10(1), Article 25. https://doi.org/10.3390/safety10010025

This paper aims to offer novel empirical evidence as to the identification of the most effective Trigger Speeds (TS) for Vehicle-Activated Signs (VAS) in rural areas. To achieve this, an experimental study was carried out in the area of Scottish Bord... Read More about Effective Trigger Speeds for Vehicle Activated Signs on 20 mph Roads in Rural Areas.

Evaluation of microwave square ring metamaterial-based resonator for glucose detection (2024)
Journal Article
Mustafa Kamal, M. H., Qureshi, S. A., Zainal Abidin, Z., Majid, H. A., & See, C. H. (2024). Evaluation of microwave square ring metamaterial-based resonator for glucose detection. Journal of Engineering and Applied Science, 71, Article 66. https://doi.org/10.1186/s44147-024-00366-1

This study presents a biosensor working at a frequency of 3.5 GHz, which is designed as a square ring metamaterial resonator. This study aimed to evaluate the impact of blood amount on the metamaterial-based resonator sensor’s sensitivity. The struct... Read More about Evaluation of microwave square ring metamaterial-based resonator for glucose detection.

A Transformer-based Gesture Prediction Model via sEMG Sensor for Human-robot Interaction (2024)
Journal Article
Liu, Y., Li, X., Yang, L., & Yu, H. (2024). A Transformer-based Gesture Prediction Model via sEMG Sensor for Human-robot Interaction. IEEE Transactions on Instrumentation and Measurement, 73, Article 2510615. https://doi.org/10.1109/tim.2024.3373045

As one of the most direct and pivotal modes of human-computer interaction (HCI), the application of surface electromyography (sEMG) signals in the domain of gesture prediction has emerged as a prominent area of research. To enhance the performance of... Read More about A Transformer-based Gesture Prediction Model via sEMG Sensor for Human-robot Interaction.

Expressive Talking Avatars (2024)
Journal Article
Pan, Y., Tan, S., Cheng, S., Lin, Q., Zeng, Z., & Mitchell, K. (2024). Expressive Talking Avatars. IEEE Transactions on Visualization and Computer Graphics, 30(5), 2538-2548. https://doi.org/10.1109/TVCG.2024.3372047

Stylized avatars are common virtual representations used in VR to support interaction and communication between remote collaborators. However, explicit expressions are notoriously difficult to create, mainly because most current methods rely on geome... Read More about Expressive Talking Avatars.

SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT (2024)
Journal Article
Alshehri, M. S., Ahmad, J., Almakdi, S., Qathrady, M. A., Ghadi, Y. Y., & Buchanan, W. J. (2024). SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT. IEEE Access, 12, https://doi.org/10.1109/access.2024.3371992

The rise of Internet of Things (IoT) has led to increased security risks, particularly from botnet attacks that exploit IoT device vulnerabilities. This situation necessitates effective Intrusion Detection Systems (IDS), that are accurate, lightweigh... Read More about SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT.

Timber (2024)
Book Chapter
Cramer, M., & Tamagnone, G. (2024). Timber. In H. Hartman, & J. Jack Williams (Eds.), Materials: An environmental primer (230-253). RIBA

Hearing Abilities Assessment (2024)
Patent
McGregor, I. (2024). Hearing Abilities Assessment. W O 2024/041821 A1. World Intellectual Property Organization International Bureau

A method for assessing hearing abilities of a human person having two ears, the method comprising: - providing two audio signals to two respective ear speakers at a person's corresponding ears; - measuring at least one value of at least one parameter... Read More about Hearing Abilities Assessment.

Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT (2024)
Journal Article
Wang, X., Zhang, H., Wu, H., & Yu, H. (online). Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT. Blockchain: Research and Applications, Article 100195. https://doi.org/10.1016/j.bcra.2024.100195

Federated Learning (FL) allows data owners to train neural networks together without sharing local data, allowing the Industrial Internet of Things (IIoT) to share a variety of data. However, traditional federated learning frameworks suffer from data... Read More about Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT.

Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation (2024)
Journal Article
Marinelli, A., & Rasheed, L. P. H. (2024). Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation. Procedia Structural Integrity, 54, 332-339. https://doi.org/10.1016/j.prostr.2024.01.091

Urban areas worldwide grapple with ecological disruption due to overpopulation, exacerbated by impermeable concrete surfaces that hinder rainwater absorption, curb plant growth and foster urban heat islands. Innovative porous concrete applications we... Read More about Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation.

Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations (2024)
Journal Article
Bonet-Jara, J., Fernandez-Cavero, V., Vedreno-Santos, F., Morinigo-Sotelo, D., & Pons-Llinares, J. (2024). Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations. IEEE Transactions on Industry Applications, 60(3), 3903-3911. https://doi.org/10.1109/tia.2024.3371393

Induction motors work under steady-state in many applications. Nevertheless, in some cases they experience periodic load fluctuations, which generate constant frequency harmonics close to variable frequency bar breakage harmonics. In these cases, tim... Read More about Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations.

Data Matters- Storytelling with technologies (2024)
Digital Artefact
Lechelt, S., Panneels, I., Kaye, R., & Disley, M. Data Matters- Storytelling with technologies. [Video]

Watch Dr Susan Lechelt, Dr Inge Panneels, Rebecca Kaye (ploterre) and Martin Disley from Creative Informatics, Edinburgh, present their practice and research.

ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption (2024)
Journal Article
Jiang, D., Tsafack, N., Boulila, W., Ahmad, J., & Barba-Franco, J. (in press). ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption. Expert Systems with Applications, 236, Article 121378. https://doi.org/10.1016/j.eswa.2023.121378

Recent advances in intelligent wearable devices have brought tremendous chances for the development of healthcare monitoring system. However, the data collected by various sensors in it are user-privacy-related information. Once the individuals’ priv... Read More about ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption.

The retailer perspective on the potential for using urban consolidation centres (UCCs) (2024)
Journal Article
Akgün, E. Z., Monios, J., Cowie, J., & Fonzone, A. (2024). The retailer perspective on the potential for using urban consolidation centres (UCCs). Research in Transportation Economics, 103, Article 101413. https://doi.org/10.1016/j.retrec.2024.101413

This paper examines the role of supportive policies and value-added services which may incentivise retailers to use an urban consolidation centre (UCC). The methodology is a case study of the city of Edinburgh, Scotland, based on semi-structured inte... Read More about The retailer perspective on the potential for using urban consolidation centres (UCCs).

Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System (2024)
Presentation / Conference Contribution
Gupta, A., Bishnu, A., Ratnarajah, T., Adeel, A., Hussain, A., & Sellathurai, M. (2023, December). Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System. Presented at GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia

Designing an efficient receiver for multiple users transmitting orthogonal frequency-division multiplexing signals to the base station remain a challenging interference-limited problem in 5G-new radio (5G-NR) system. This can lead to stagnation of de... Read More about Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System.