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All Outputs (26093)

Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions (2023)
Journal Article
Ullah, A., Kiss, T., Kovács, J., Tusa, F., Deslauriers, J., Dagdeviren, H., Arjun, R., & Hamzeh, H. (in press). Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions. Journal of cloud computing: advances, systems and applications, 12, https://doi.org/10.1186/s13677-023-00516-5

IoT systems are becoming an essential part of our environment. Smart cities, smart manufacturing, augmented reality, and self-driving cars are just some examples of the wide range of domains, where the applicability of such systems have been increasi... Read More about Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions.

Resolving the Decreased Rank Attack in RPL’s IoT Networks (2023)
Presentation / Conference Contribution
Ghaleb, B., Al-Duba, A., Hussain, A., Romdhani, I., & Jaroucheh, Z. (2023, June). Resolving the Decreased Rank Attack in RPL’s IoT Networks. Presented at 19th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2023), Pafos, Cyprus

The Routing Protocol for Low power and Lossy networks (RPL) has been developed by the Internet Engineering Task Force (IETF) standardization body to serve as a part of the 6LoWPAN (IPv6 over Low-Power Wireless Personal Area Networks) standard, a core... Read More about Resolving the Decreased Rank Attack in RPL’s IoT Networks.

The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System (2023)
Presentation / Conference Contribution
Moradpoor, N., Maglaras, L., Abah, E., & Robles-Durazno, A. (2023, June). The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System. Presented at 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus

The protection of Critical National Infrastructure is extremely important due to nations being dependent on their operation and steadiness. Any disturbance to this infrastructure could have a devastating consequence on physical security, economic wel... Read More about The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System.

Hotel refurbishment and building information modelling (2023)
Presentation / Conference Contribution
Jaradat, S., & Henderson, H. (2022, September). Hotel refurbishment and building information modelling. Presented at The World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium: WMCAUS 2022, Prague, Czech Republic

Research on Building Information Modelling (BIM) focused on the design and construction stages of engineering projects. Fewer studies investigated the use of BIM in refurbishment projects. The aim of this research is to examine the process of hotel r... Read More about Hotel refurbishment and building information modelling.

HRD & Remote Working (2023)
Digital Artefact
McGuire, D., Li, J., & Farrer, L. (2023). HRD & Remote Working. [Podcast]

Season 4 Episode 7 of the ALLbyPODCAST

Cascaded ESO based multi-task priority tracking and null-space compliance control for redundant robots (2023)
Journal Article
Fan, K., Liu, Y., Huo, B., Yang, L., Wu, Z., & Yu, H. (2023). Cascaded ESO based multi-task priority tracking and null-space compliance control for redundant robots. Control Engineering Practice, 141, Article 105710. https://doi.org/10.1016/j.conengprac.2023.105710

This paper investigates multi-task priority trajectory tracking and null-space compliance control of redundant robots without joint velocity and joint torque sensors. A novel multi-task priority controller is proposed to improve the dynamic performan... Read More about Cascaded ESO based multi-task priority tracking and null-space compliance control for redundant robots.

The Global Cities Can B Movement: Lessons from Edinburgh (2023)
Presentation / Conference Contribution
Weaver, M. (2023, September). The Global Cities Can B Movement: Lessons from Edinburgh. Presented at ECoS-CTei Tejiendo Confianzo, Online

Panel of experts in transfer and use of knowledge.

Q fever and Coxiellosis implications for livestock and human health: a UK perspective (2023)
Journal Article
Wheelhouse, N., Vazquez, R., Viora, L., & Halliday, J. E. (2023). Q fever and Coxiellosis implications for livestock and human health: a UK perspective. Livestock, 28(5), 193-238. https://doi.org/10.12968/live.2023.28.5.221

Q fever is a disease which can cause an acute self-limiting infection or long-term chronic condition in people exposed to the bacteria Coxiella burnetii. Most human cases in the UK are associated with livestock, particularly small ruminants, which ac... Read More about Q fever and Coxiellosis implications for livestock and human health: a UK perspective.

Advancing the Understanding of Clinical Sepsis Using Gene Expression-Driven Machine Learning to Improve Patient Outcomes (2023)
Journal Article
Rashid, A., Al-Obeida, F., Hafez, W., Benakatti, G., Malik, R. A., Koutentis, C., Sharief, J., Brierley, J., Quraishi, N., Malik, Z. A., Anwary, A., Alkhzaimi, H., Zaki, S. A., Khilnani, P., Kadwa, R., Phatak, R., Schumacher, M., Shaikh, G., Al-Dubai, A., & Hussain, A. (2024). Advancing the Understanding of Clinical Sepsis Using Gene Expression-Driven Machine Learning to Improve Patient Outcomes. Shock, 61(1), 4-18. https://doi.org/10.1097/shk.0000000000002227

Sepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of Machine Learning (ML) techniques to bridge the gap between clinical data and gene expression information to bette... Read More about Advancing the Understanding of Clinical Sepsis Using Gene Expression-Driven Machine Learning to Improve Patient Outcomes.

Force monitoring of Galfan cables in a long-span cable-truss string-support system based on the magnetic flux method (2023)
Journal Article
Zhang, Y., Tian, X., Xia, J., & Zhang, H. (2023). Force monitoring of Galfan cables in a long-span cable-truss string-support system based on the magnetic flux method. Structural Monitoring and Maintenance, 10(3), 261-281. https://doi.org/10.12989/smm.2023.10.3.261

Magnetic flux sensors are commonly used in monitoring the cable force, but the application of the sensors in large diameter non-closed Galfan cables, as those adopted in Yueqing Gymnasium which is located in Yueqing City, Zhejiang Province, China and... Read More about Force monitoring of Galfan cables in a long-span cable-truss string-support system based on the magnetic flux method.

'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. [Dataset]. 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.

Rehearsing empathy: exploring the role of poetry in supporting learning (2023)
Journal Article
Jack, K., & Illingworth, S. (in press). Rehearsing empathy: exploring the role of poetry in supporting learning. Arts and Health: An International Journal for Research, Policy and Practice, https://doi.org/10.1080/17533015.2023.2256361

Empathy is an important aspect of therapeutic relationships in health and social care settings. Health educators can foster empathy development in learners through creative writing activities. Drawing on the humanities, specifically poetry, this pape... Read More about Rehearsing empathy: exploring the role of poetry in supporting learning.

Parent-reported posttraumatic stress reactions in children and adolescents: Findings from The Mental Health of Parents and Children in Ukraine Study (2023)
Journal Article
Martsenkovskyi, D., Karatzias, T., Hyland, P., Shevlin, M., Ben-Ezra, M., McElroy, E., Redican, E., Louison Vang, M., Cloitre, M., Ho, G. W., Lorberg, B., & Martsenkovsky, I. (online). Parent-reported posttraumatic stress reactions in children and adolescents: Findings from The Mental Health of Parents and Children in Ukraine Study. Psychological Trauma: Theory, Research, Practice, and Policy, https://doi.org/10.1037/tra0001583

Background: Despite the long-standing ongoing war in Ukraine, information regarding war-related negative mental health outcomes in children is limited. A nationwide sample of parents in Ukraine was surveyed to assess posttraumatic stress disorder (PT... Read More about Parent-reported posttraumatic stress reactions in children and adolescents: Findings from The Mental Health of Parents and Children in Ukraine Study.

A Blockchain-based two Factor Honeytoken Authentication System (2023)
Presentation / Conference Contribution
Papaspirou, V., Maglaras, L., Kantzavelou, I., Moradpoor, N., & Katsikas, S. (2023, September). A Blockchain-based two Factor Honeytoken Authentication System. Poster presented at 28th European Symposium on Research in Computer Security (ESORICS), The Hague

This paper extends and advances our recently introduced two-factor Honeytoken authentication method by incorporating blockchain technology. This novel approach strengthens the authentication method, preventing various attacks, including tampering att... Read More about A Blockchain-based two Factor Honeytoken Authentication System.

FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing (2023)
Journal Article
Benzaïd, C., Taleb, T., Sami, A., & Hireche, O. (2024). FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing. IEEE Transactions on Dependable and Secure Computing, 21(4), 2818-2835. https://doi.org/10.1109/tdsc.2023.3318606

Network slicing is envisaged as the key to unlocking revenue growth in 5G and beyond (B5G) networks. However, the dynamic nature of network slicing and the growing sophistication of DDoS attacks rises the menace of reshaping a stealthy DDoS into an E... Read More about FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing.

Phases study for AgNb(Ta,W)O3 lead-free antiferroelectric ceramics (2023)
Journal Article
Lu, Z., Zhu, Y., Sun, D., Wang, B., Wang, D., Day, S., & Wang, G. (2023). Phases study for AgNb(Ta,W)O3 lead-free antiferroelectric ceramics. Results in Engineering, 20, Article 101447. https://doi.org/10.1016/j.rineng.2023.101447

Uncovering lead-free materials with an exceptionally high recoverable energy density is vital for the creation of future pulse power capacitors. This study determined that introducing Tungsten (W) and Tantalum (Ta) into the Nb-site of AgNbO3 lead-fre... Read More about Phases study for AgNb(Ta,W)O3 lead-free antiferroelectric ceramics.

Figure Study in Light (2023)
Exhibition / Performance
Holmes, P. Figure Study in Light. [Light sculpture]. 22 September 2023 - 15 October 2023