All Outputs (720)

Multi-criteria material selection for casing pipe in shale gas wells application. (2022)
Journal Article
MOHAMMED, A.I., BARTLETT, M., OYENEYIN, B., KAYVANTASH, K. and NJUGUNA, J. 2022. Multi-criteria material selection for casing pipe in shale gas wells application. Journal of petroleum exploration and production technology [online], 12(12), pages 3183-3199. Available from: https://doi.org/10.1007/s13202-022-01506-0

The conventional method of casing selection is based on availability and/or order placement to manufacturers based on certain design specifications to meet the anticipated downhole conditions. This traditional approach is very much dependent on exper... Read More about Multi-criteria material selection for casing pipe in shale gas wells application..

An online method for power state estimation of lithium-ion batteries under the constraints of the fusion model considering temperature effect. (2022)
Journal Article
WANG, J., WANG, S., YU, C., LI, B. and HE, M. 2022. An online method for power state estimation of lithium-ion batteries under the constraints of the fusion model considering temperature effect. International journal of electrochemical science [online], 17(7), article number 220764. Available from: https://doi.org/10.20964/2022.07.68

As the main source of energy storage and power supply for new energy vehicles, the state of power of the power lithium-ion battery reflects the maximum power that the vehicle can provide. However, the ambient temperature of the automotive battery pac... Read More about An online method for power state estimation of lithium-ion batteries under the constraints of the fusion model considering temperature effect..

A novel square-root adaptive unscented Kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries. (2022)
Journal Article
WANG, S., GAO, H., QIAO, J., CAO, J. and FERNANDEZ, C. 2022. A novel square-root adaptive unscented kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(7), article ID 220735. Available from: https://doi.org/10.20964/2022.07.46

The accurate state-of-charge estimation of the lithium-ion battery is one of the key technologies to benchmark the rapid development of new energy vehicles. Unscented Kalman filtering abandons the traditional way of forcing the system to linearize, s... Read More about A novel square-root adaptive unscented Kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries..

A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries. (2022)
Journal Article
WANG, S., CAO, J., XIE, Y., GAO, H. and FERNANDEZ, C. 2022. A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(7), article 22072. Available from: https://doi.org/10.20964/2022.07.60

Accurate lithium-ion battery state-of-charge estimation and effective equivalent modeling are important for real-time status monitoring and safety control of lithium-ion batteries. To solve the problem of low accuracy of the second-order RC equivalen... Read More about A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries..

No place like home. [Exhibition] (2022)
Exhibition / Performance
No place like home. [Exhibition]. Exhibited on 5 June 2022, Fittie Community Hall, Aberdeen.

This exhibition featured artworks that were created as part of an RGU research project into the impact of Brexit on EU nationals living in the UK. The exhibition explored migration and diversity across Aberdeen and was held as part of the opening of... Read More about No place like home. [Exhibition].

Keep the moving vehicle secure: context-aware intrusion detection system for in-vehicle CAN bus security. (2022)
Conference Proceeding
RAJAPAKSHA, S., KALUTARAGE, H., AL-KADRI, M.O., MADZUDZO, G. and PETROVSKI, A.V. 2022. Keep the moving vehicle secure: context-aware intrusion detection system for in-vehicle CAN bus security. In Jančárková, T., Visky, G. and Winther, I. (eds.). Proceedings of 14th International conference on Cyber conflict 2022 (CyCon 2022): keep moving, 31 May - 3 June 2022, Tallinn, Estonia. Tallinn: CCDCOE, pages 309-330. Hosted on IEEE Xplore [online]. Available from: https://doi.org/10.23919/CyCon55549.2022.9811048

The growth of information technologies has driven the development of the transportation sector, including connected and autonomous vehicles. Due to its communication capabilities, the controller area network (CAN) is the most widely used in-vehicle c... Read More about Keep the moving vehicle secure: context-aware intrusion detection system for in-vehicle CAN bus security..

A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection. (2022)
Journal Article
LIU, Y., WANG, S., XIE, Y., FERNANDEZ, C., QIU, J. and ZHANG, Y. 2022. A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection. International journal of circuit theory and applications [online], 50(10), pages 3372-3386. Available from: https://doi.org/10.1002/cta.3339

Accurate estimation of the state of charge (SOC) of lithium-ion batteries is quite crucial to battery safety monitoring and efficient use of energy; to improve the accuracy of lithium-ion battery SOC estimation under complicated working conditions, t... Read More about A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection..

An unsupervised autonomous learning framework for goal-directed behaviours in dynamic contexts. (2022)
Journal Article
EZENKWU, C.P. and STARKEY, A. 2022. An unsupervised autonomous learning framework for goal-directed behaviours in dynamic contexts. Advances in computational intelligence [online], 2(3), article number 26. Available from: https://doi.org/10.1007/s43674-022-00037-9

Due to their dependence on a task-specific reward function, reinforcement learning agents are ineffective at responding to a dynamic goal or environment. This paper seeks to overcome this limitation of traditional reinforcement learning through a tas... Read More about An unsupervised autonomous learning framework for goal-directed behaviours in dynamic contexts..

IR-capsule: two-stream network for face forgery detection. (2022)
Journal Article
LIN, K., HAN, W., LI, S., GU, Z., ZHAO, H., REN, J., ZHU, L. and LV, J. 2023 IR-capsule: two-stream network for face forgery detection. Cognitive computation [online], 15(1), pages 13-22. Available from: https://doi.org/10.1007/s12559-022-10008-4

With the emergence of deep learning, generating forged images or videos has become much easier in recent years. Face forgery detection, as a way to detect forgery, is an important topic in digital media forensics. Despite previous works having made r... Read More about IR-capsule: two-stream network for face forgery detection..

The effectiveness of multifactorial and multicomponent interventions for the prevention of falls for adults in hospital settings: a systematic review and meta-analysis. (2022)
Working Paper
PAVLOVA, A.V., SWINTON, P.A., GREIG, L., ALEXANDER, L. and COOPER, K. 2022. The effectiveness of multifactorial and multicomponent interventions for the prevention of falls for adults in hospital settings: a systematic review and meta-analysis. MedRxiv [online]. Available from: https://doi.org/10.1101/2022.05.31.22275666

The objective of this systematic review and meta-analysis was to evaluate the effectiveness of multicomponent and multifactorial interventions for reducing falls in adult in-patients. Falls are the most common cause of accidental injury in hospitals... Read More about The effectiveness of multifactorial and multicomponent interventions for the prevention of falls for adults in hospital settings: a systematic review and meta-analysis..

Social relationship analysis using state-of-the-art embeddings. (2022)
Journal Article
ANWAR, S., BEG, M.O., SALEEM, K., AHMED, Z., JAVED, A.R. and TARIQ, U. 2023. Social relationship analysis using state-of-the-art embeddings. ACM Transactions on Asian and low-resource language information processing [online], 22(5), article number 138. Available from: https://doi.org/10.1145/3539608

Detection of human relationships from their interactions on social media is a challenging problem with a wide range of applications in different areas, like targeted marketing, cyber-crime, fraud, defense, planning, and human resource, to name a few.... Read More about Social relationship analysis using state-of-the-art embeddings..

Purposive and non-purposive information behaviour on Instagram. (2022)
Journal Article
MARCELLA-HOOD, M. and MARCELLA, R. 2023. Purposive and non-purposive information behaviour on Instagram. Journal of librarianship and information science [online], 55(3), pages 634-657. Available from: https://doi.org/10.1177/09610006221097974

User information behaviour on Instagram was explored via 274 responses to an online survey. Instagram is recognised as a powerful visual platform and consistently reports high engagement statistics across its variety of users. Research on Instagram t... Read More about Purposive and non-purposive information behaviour on Instagram..

Stuck pipe prediction in deviated wellbores: a numerical and statistical analysis. (2022)
Thesis
EGBE, P.I. 2022. Stuck pipe prediction in deviated wellbores: a numerical and statistical analysis. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071873

Due to the significant non-productive times and recovery costs associated with stuck pipe events in oil and gas drilling operations, there is value in being able to predict an impending stuck pipe event. To achieve this, the use of numerical cuttings... Read More about Stuck pipe prediction in deviated wellbores: a numerical and statistical analysis..

A mixed-methods study to identify, quantify and explore determinants of antimicrobial prescribing behaviours among clinicians in Qatar. (2022)
Thesis
TALKHAN, H. 2022. A mixed-methods study to identify, quantify and explore determinants of antimicrobial prescribing behaviours among clinicians in Qatar. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1712972

The detection of antimicrobial resistance (AMR) and awareness of the magnitude of associated threats to global public health as well as the world economy have long been recognised, with many countries implementing antimicrobial stewardship (AMS) prog... Read More about A mixed-methods study to identify, quantify and explore determinants of antimicrobial prescribing behaviours among clinicians in Qatar..

The relationship between the social licence and law in the context of the Scottish fracking debate: a textual, thematic and comparative analysis of environmental and planning law governing onshore oil and gas authorisations in Scotland. (2022)
Thesis
JONES, A. 2022. The relationship between the social licence and law in the context of the Scottish fracking debate: a textual, thematic and comparative analysis of environmental and planning law governing onshore oil and gas authorisations in Scotland. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1712821

The Governments of the constituent parts of the UK have, in recent years, considered promoting the exploitation of UK shale formations via fracking in order to recover oil and gas. In all jurisdictions, this has been met with opposition groups citing... Read More about The relationship between the social licence and law in the context of the Scottish fracking debate: a textual, thematic and comparative analysis of environmental and planning law governing onshore oil and gas authorisations in Scotland..

Putting ageism in context: examining the relationship between age discrimination and frailty among older individuals aged 65 years and over. (2022)
Thesis
AMINU, A.Q. 2022. Putting ageism in context: examining the relationship between age discrimination and frailty among older individuals aged 65 years and over. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1712721

Frailty is the inability of the body's defence system to cope with stressors. It is known to increase the risk of adverse health outcomes such as mortality, falls and hospitalisation among the older population. While the burden of frailty is continuo... Read More about Putting ageism in context: examining the relationship between age discrimination and frailty among older individuals aged 65 years and over..

Respiratory pandemics, urban planning and design: a multidisciplinary rapid review of the literature. (2022)
Journal Article
HARRIS, P., HARRIS-ROXAS, B., PRIOR, J., et al. 2022. Respiratory pandemics, urban planning and design: a multidisciplinary rapid review of the literature. Cities [online], 127, article 103767. Available from: https://doi.org/10.1016/j.cities.2022.103767

COVID-19 is the most recent respiratory pandemic to necessitate better knowledge about city planning and design. The complex connections between cities and pandemics, however challenge traditional approaches to reviewing literature. In this article w... Read More about Respiratory pandemics, urban planning and design: a multidisciplinary rapid review of the literature..

Van Oord v Dragados: the Inner House dredge up good faith from Aberdeen harbour. (2022)
Journal Article
CHRISTIE, D.S. 2022. Van Oord v Dragados: the Inner House dredge up good faith from Aberdeen harbour. Edinburgh law review [online], 26(2), pages 268-273. Available from: https://doi.org/10.3366/elr.2022.0768

At £350m and the 'largest marine infrastructure project in the UK', the work to extend Aberdeen Harbour is a significant but somewhat troubled project, due for completion in 2022. The original main contractor, Dragados, had (reportedly) had difficul... Read More about Van Oord v Dragados: the Inner House dredge up good faith from Aberdeen harbour..

Robust, effective and resource efficient deep neural network for intrusion detection in IoT networks. (2022)
Conference Proceeding
ZAKARIYYA, I., KALUTARAGE, H. and AL-KADRI, M.O. 2022. Robust, effective and resource efficient deep neural network for intrusion detection in IoT networks. In CPPS '22: proceedings of the 8th ACM (Association for Computing Machinery) Cyber-physical system security workshop 2022 (CPSS '22), co-located with the 17th ACM (Association for Computing Machinery) Asia conference on computer and communications security 2022 (ASIACCS '22) Nagasaki, Japan (virtual event). New York: ACM [online], pages 41-51. Available from: https://doi.org/10.1145/3494107.3522772

Internet of Things (IoT) devices are becoming increasingly popular and an integral part of our everyday lives, making them a lucrative target for attackers. These devices require suitable security mechanisms that enable robust and effective detection... Read More about Robust, effective and resource efficient deep neural network for intrusion detection in IoT networks..

Developing secured android applications by mitigating code vulnerabilities with machine learning. (2022)
Conference Proceeding
SENANAYAKE, J., KALUTARAGE, H., AL-KADRI, M.O., PETROVSKI, A. and PIRAS, L. 2022. Developing secured android applications by mitigating code vulnerabilities with machine learning. In ASIA CCS '22: proceedings of the 17th ACM (Association for Computing Machinery) Asia conference on computer and communications security 2022 (ASIA CCS 2022), 30 May - 3 June 2022, Nagasaki, Japan. New York: ACM [online], pages 1255-1257. Available from: https://doi.org/10.1145/3488932.3527290

Mobile application developers sometimes might not be serious about source code security and publish apps to the marketplaces. Therefore, it is essential to have a fully automated security solutions generator to integrate security-by-design into the d... Read More about Developing secured android applications by mitigating code vulnerabilities with machine learning..