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Outputs (3392)

Minkowski Based Microwave Resonator for Material Detection over Sub-6 GHz 5G Spectrum (2023)
Presentation / Conference Contribution
Anwer, A. I., Alibakhshikenari, . M., Elwi, T., Virdee, B., Kouhalvandi, L., Abdul Hassain, Z. A., Soruri, . M., Tokan, N. T., Ojaroudi Parchin, N., See, C. H., & Livreri, P. (2023, October). Minkowski Based Microwave Resonator for Material Detection over Sub-6 GHz 5G Spectrum. Presented at 2023 2nd International Conference on 6G Networking (6GNet), Paris, France

This paper describes the performance of a low-cost, high-sensitive microwave resonator for 5G modern wireless communication systems operating through sub-6GHz spectrum. Here, the proposed resonator is constructed from a Minkowski fractal open stub th... Read More about Minkowski Based Microwave Resonator for Material Detection over Sub-6 GHz 5G Spectrum.

Managing smart city governance: A playbook for local and regional governments (2023)
Report
Beckers, D., Gerli, P., Mora, L., Thabit, S., & Tonnarelli, F. (2023). Managing smart city governance: A playbook for local and regional governments. Nairobi, Kenya: United Nations Human Settlements Programme (UN-Habitat)

This playbook and its recommendations are primarily aimed at municipal governments and their political leaders, local administrators, and public officials who are involved in smart city initiatives. The recommendations, which are delineated in the su... Read More about Managing smart city governance: A playbook for local and regional governments.

PASSION: Permissioned Access Control for Segmented Devices and Identity for IoT Networks (2023)
Presentation / Conference Contribution
Ali, H., Abubakar, M., Ahmad, J., Buchanan, W. J., & Jaroucheh, Z. (2023, November). PASSION: Permissioned Access Control for Segmented Devices and Identity for IoT Networks. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

In recent years, there has been a significant proliferation of industrial Internet of Things (IoT) applications, with a wide variety of use cases being developed and put into operation. As the industrial IoT landscape expands, the establishment of se... Read More about PASSION: Permissioned Access Control for Segmented Devices and Identity for IoT Networks.

Double Public Key Signing Function Oracle Attack on EdDSA Software Implementations (2023)
Presentation / Conference Contribution
Grierson, S., Chalkias, K., Buchanan, W. J., & Maglaras, L. (2023, November). Double Public Key Signing Function Oracle Attack on EdDSA Software Implementations. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

EdDSA is a standardised elliptic curve digital signature scheme introduced to overcome some of the issues prevalent in the more established ECDSA standard. Due to the EdDSA standard specifying that the EdDSA signature be deterministic, if the signing... Read More about Double Public Key Signing Function Oracle Attack on EdDSA Software Implementations.

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions (2023)
Journal Article
Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., Tan, Z., & Hussain, A. (2024). Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-10219-3

ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. However, new regulations like GDPR require data removal by businesses. Deleting... Read More about Machine Un-learning: An Overview of Techniques, Applications, and Future Directions.

Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction (2023)
Journal Article
Aziz, A., Hossain, M. A., Chy, A. N., Ullah, M. Z., & Aono, M. (2023). Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction. Natural Language Processing Journal, 5, Article 100039. https://doi.org/10.1016/j.nlp.2023.100039

Lexical complexity prediction (LCP) determines the complexity level of words or phrases in a sentence. LCP has a significant impact on the enhancement of language translations, readability assessment, and text generation. However, the domain-specific... Read More about Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction.

Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities (2023)
Journal Article
Tallat,, R., Hawbani, A., Wang, X., Al-Dubai, A., Zhao, L., Liu, Z., Min, G., Zomaya, A., & Alsamhi, S. (2024). Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities. Communications Surveys and Tutorials, IEEE Communications Society, 26(2), 1080 - 1126. https://doi.org/10.1109/comst.2023.3329472

This century has been a major avenue for revolutionary changes in technology and industry. Industries have transitioned towards intelligent automation, relying less on human intervention, resulting in the fourth industrial revolution, Industry 4.0. T... Read More about Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities.

Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review (2023)
Journal Article
Lam, E. W.-M., Chan, A. P., Olawumi, T. O., Wong, I., & Kazeem, K. O. (2024). Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review. Smart and Sustainable Built Environment, 13(2), 425-443. https://doi.org/10.1108/sasbe-04-2023-0094

Purpose
Sustainability has been the subject of several scientific investigations. Many researchers in the construction industry have also examined a range of sustainability-related studies. However, few studies have thoroughly reviewed implementing... Read More about Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review.

Real-time Facial Animation for 3D Stylized Character with Emotion Dynamics (2023)
Presentation / Conference Contribution
Pan, Y., Zhang, R., Wang, J., Ding, Y., & Mitchell, K. (2023, October). Real-time Facial Animation for 3D Stylized Character with Emotion Dynamics. Presented at 31st ACM International Conference on Multimedia, Ottawa, Canada

Our aim is to improve animation production techniques' efficiency and effectiveness. We present two real-time solutions which drive character expressions in a geometrically consistent and perceptually valid way. Our first solution combines keyframe a... Read More about Real-time Facial Animation for 3D Stylized Character with Emotion Dynamics.

Future Tense - The Challenge of Imagining Alternative Futures (2023)
Book Chapter
Smyth, M. (2023). Future Tense - The Challenge of Imagining Alternative Futures. In Designing in Coexistence – Reflections on Systemic Change (77-88). Croatian Architects’ Association

So why is it so difficult to imagine futures? Not the futures set in galaxies far far away, but the ones connected to the present that lie tantalisingly just beyond the horizon. Futures still tethered to variants of today’s infrastructure. This essay... Read More about Future Tense - The Challenge of Imagining Alternative Futures.

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.

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 Low-Cost Platform for Real Time Data Acquisition and Fractional Control with Application to a DC motor (2023)
Journal Article
Abdel Fettah Berkani, H., Keziz, B., Lashab, M., Djouambi, A., & Kerrouche, A. (2023). A Low-Cost Platform for Real Time Data Acquisition and Fractional Control with Application to a DC motor. International Journal of Power Electronics and Drive Systems, 14(4), 2072-2079. https://doi.org/10.11591/ijpeds.v14.i4.pp2072-2079

This paper presents a low-cost experimental platform for real time data acquisition, identification and fractional order control of some low dynamic systems via Arduino-Simulink interface. As a demonstrative example, a DC motor is considered and mode... Read More about A Low-Cost Platform for Real Time Data Acquisition and Fractional Control with Application to a DC motor.

Rapidrift: Elementary Techniques to Improve Machine Learning-Based Malware Detection (2023)
Journal Article
Manikandaraja, A., Aaby, P., & Pitropakis, N. (2023). Rapidrift: Elementary Techniques to Improve Machine Learning-Based Malware Detection. Computers, 12(10), Article 195. https://doi.org/10.3390/computers12100195

Artificial intelligence and machine learning have become a necessary part of modern living along with the increased adoption of new computational devices. Because machine learning and artificial intelligence can detect malware better than traditional... Read More about Rapidrift: Elementary Techniques to Improve Machine Learning-Based Malware Detection.

'ChatGPT & Me' Student Padlet Data With Reactions (2023)
Data
Drumm, L., Illingworth, S., Graham, C., Calabrese, P., Taylor, S., Dencer-Brown, I., & van Knippenberg, I. (2023). 'ChatGPT & Me' Student Padlet Data With Reactions. [Data]. https://doi.org/10.17869/enu.2023.3200728

These data are from a project which aimed to collect and analyse student attitudes to artificial intelligence (AI) and their own learning and assessment while they are studying with Edinburgh Napier University. AI tools such as ChatGPT make it easier... Read More about 'ChatGPT & Me' Student Padlet Data With Reactions.

Fostering a Sense of Belonging to Support Successful Online Learners (2023)
Presentation / Conference Contribution
Brodie, J. (2023, September). Fostering a Sense of Belonging to Support Successful Online Learners. Presented at QAA Scotland - The future of Learning and Teaching: Planning and Delivery of digitally Enhanced Blended Learning, Glasgow, UK

This invited round table presentation was given at The QAA Scotland's event on 'The future of Learning and Teaching: Planning and Delivery of digitally Enhanced blended learning'. The presentation discussed the challenges of supporting belonging at a... Read More about Fostering a Sense of Belonging to Support Successful Online Learners.

Start thinking in graphs: using graphs to address critical attack paths in a Microsoft cloud tenant (2023)
Journal Article
Elmiger, M., Lemoudden, M., Pitropakis, N., & Buchanan, W. J. (2024). Start thinking in graphs: using graphs to address critical attack paths in a Microsoft cloud tenant. International Journal of Information Security, 23, 467-485. https://doi.org/10.1007/s10207-023-00751-6

The challenge of securing IT environments has reached a new complexity level as a growing number of organisations adopt cloud solutions. This trend increases the possibility of overseen attack paths in an organisation’s IT infrastructure. This paper... Read More about Start thinking in graphs: using graphs to address critical attack paths in a Microsoft cloud tenant.

Use and operational safety (2023)
Book Chapter
Reed, N., Charisis, V., & Cowper, S. (2023). Use and operational safety. In D. Ventriglia, & M. Kahl (Eds.), FISITA Intelligent Safety White Paper – The Safety of Electro-Mobility: Expert considerations on the Safety of an Electric Vehicle from concept through end of life (107-111). FISITA

Whether you are an individual buying your first car or replacing an existing vehicle, or if you are a fleet manager making vehicle purchase decisions on behalf of a company, the acquisition of a car is usually a highly significant purchase. Increasi... Read More about Use and operational safety.

A stacking ensemble of deep learning models for IoT intrusion detection (2023)
Journal Article
Lazzarini, R., Tianfield, H., & Charissis, V. (2023). A stacking ensemble of deep learning models for IoT intrusion detection. Knowledge-Based Systems, 279, Article 110941. https://doi.org/10.1016/j.knosys.2023.110941

The number of Internet of Things (IoT) devices has increased considerably in the past few years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a consequence, the prompt detection of attacks in IoT environments thr... Read More about A stacking ensemble of deep learning models for IoT intrusion detection.