Skip to main content

Research Repository

Advanced Search

Outputs (267)

Impact source identification on pipes using acoustic emission energy. (2022)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., TORRALBA, J.P., YUHANG, C. and REUBEN, R.L. 2023. Impact source identification on pipes using acoustic emission energy. e-Journal of nondestructive testing [online], 28(1): 56 papers from the 35th European conference on Acoustic emission testing 2022 (EWGAE35) and the 10th International conference on acoustic emission testing 2022 (ICAE10) (EWGAE 2022), 13-16 September 2022, Ljubljana, Slovenia, pages 1-12. Available from: https://doi.org/10.58286/27611

Impact is a common source of damage in pipes and pipeline systems and detecting the location and nature of damage is vital for reliability and safety of these systems. The main difficulty in the use of AE technology for such applications is being abl... Read More about Impact source identification on pipes using acoustic emission energy..

A study of gas diffusion characteristics on nano-structured ceramic membranes. (2022)
Journal Article
OGUNLUDE, P., ABUNUMAH, O. and GOBINA, E. 2022. A study of gas diffusion characteristics on nano-structured ceramic membranes. European journal of formal sciences and engineering [online], 5(2), pages 97-101. Available from: https://doi.org/10.26417/ejef.v4i1.p21-23

The use of membranes for gas upgrading has increasingly become of interest as it has shown great potential for efficient and affective gas purification and a pathway to green energy. The emission of greenhouse gases to the atmosphere has detrimental... Read More about A study of gas diffusion characteristics on nano-structured ceramic membranes..

Project leadership in the oil and gas industry: the case for path-goal leadership theory. (2022)
Journal Article
UMUTEME, O.M. and ADEGBITE, W.M. 2022. Project leadership in the oil and gas industry: the case for path-goal leadership theory. International journal of research in business and social science [online], 11(6), pages 184-195. Available from: https://doi.org/10.20525/ijrbs.v11i6.1913

Project leadership is still an active research topic. In the oil and gas industry, mega projects cost millions of dollars to execute, and project delays can lead to avoidable losses when exemplary leadership behaviour is adopted. The challenges impac... Read More about Project leadership in the oil and gas industry: the case for path-goal leadership theory..

Towards an ultra-long lifespan Li-CO2: electron structure and charge transfer pathway regulation on hierarchical architecture. (2022)
Journal Article
WANG, Y., WANG, J., WANG, J., YANG, M., ZOU, G., LI, L., TSE, J.S., FERNANDEZ, C. and PENG, Q. 2022. Towards an ultra-long lifespan Li-CO2: electron structure and charge transfer pathway regulation on hierarchical architecture. Chemical engineering journal [online], 451(Part 3), article 138953. Available from: https://doi.org/10.1016/j.cej.2022.138953

Lithium-CO2 batteries are recognized as an essential strategy for efficient carbon sequestration and energy storage to achieve carbon neutrality. Their cycle-ability and polarization voltage, however, are hindered by high decomposition voltage (≈4.3–... Read More about Towards an ultra-long lifespan Li-CO2: electron structure and charge transfer pathway regulation on hierarchical architecture..

Unconventional membranes for direct air carbon capture. (2022)
Journal Article
GOBINA, E., GIWA, A. and BEN-ARON, A. 2022. Unconventional membranes for direct air carbon capture. Membrane technology [online], 2022(7). Available from: https://doi.org/10.12968/S0958-2118(22)70077-8

Carbon capture and storage provide a way of mitigating carbon dioxide emissions whilst enabling the continued use of fossil fuels during the period of energy transition leading to net zero emissions. This article describes research that is being done... Read More about Unconventional membranes for direct air carbon capture..

Sand production due to chemical-rock interaction: a review. (2022)
Journal Article
PERETOMODE, E., OLUYEMI, G. and FAISAL, N.H. 2022. Sand production due to chemical-rock interaction: a review. Engineering failure analysis [online], 142, article 106745. Available from: https://doi.org/10.1016/j.engfailanal.2022.106745

Oilfield chemicals are utilized in treating reservoir formations, wellbore completions, wellbore drilling, and to enhance reservoir productivity, which exerts pressure on the formation. Pressure from these processes cause the formation rock to weaken... Read More about Sand production due to chemical-rock interaction: a review..

DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution. (2022)
Journal Article
ZHU, L., WANG, J., WANG, Y., JI, Y. and REN, J. 2022. DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution. Sensors [online], 22(17), article 6475. Available from: https://doi.org/10.3390/s22176475

The required navigation performance (RNP) procedure is one of the two basic navigation specifications for the performance-based navigation (PBN) procedure as proposed by the International Civil Aviation Organization (ICAO) through an integration of t... Read More about DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution..

An approach to emotion recognition using brain rhythm sequencing and asymmetric features. (2022)
Journal Article
LI, J.W., CHEN, R.J., BARMA, S., CHEN, F., PUN, S.H., MAK, P.U., WANG, L.J., ZENG, X.X., REN, J.C. and ZHAO, H.M. 2022. An approach to emotion recognition using brain rhythm sequencing and asymmetric features. Cognitive computation [online], 14(6), pages 2260-2273. Available from: https://doi.org/10.1007/s12559-022-10053-z

Emotion can be influenced during self-isolation, and to avoid severe mood swings, emotional regulation is meaningful. To achieve this, efficiently recognizing emotion is a vital step, which can be realized by electroencephalography signals. Previousl... Read More about An approach to emotion recognition using brain rhythm sequencing and asymmetric features..

Traces: how art and oil can mix. (2022)
Presentation / Conference Contribution
KELLIE, C. 2022. Traces: how art and oil can mix. Presented at the 2022 Petrocultures conference (Petrocultures 2022): transformations, 24-27 August 2022, Stavanger, Norway.

Heavy industry impacts and shapes the communities that surround it. With North Sea oil, that industry lies mostly over the horizon and its workforce comes from around the world to form a temporal community. This invisibility and the logistical barrie... Read More about Traces: how art and oil can mix..

Improved particle swarm optimization-extreme learning machine modeling strategies for the accurate lithium-ion battery state of health estimation and high-adaptability remaining useful life prediction. (2022)
Journal Article
ZHANG, C.-Y., WANG, S.-L., YU, C.-M., XIE, Y.-X. and FERNANDEZ, C. [2022]. Improved particle swarm optimization-extreme learning machine modeling strategies for the accurate lithium-ion battery state of health estimation and high-adaptability remaining useful life prediction. Journal of the Electrochemical Society [online], 169(8), article 080520. Available from: https://doi.org/10.1149/1945-7111/ac8a1a

To ensure the secure and stable operation of lithium-ion batteries, the state of health (SOH) and the remaining useful life (RUL) are the critical state parameters of lithium-ion batteries, which need to be estimated precisely. A joint SOH and RUL es... Read More about Improved particle swarm optimization-extreme learning machine modeling strategies for the accurate lithium-ion battery state of health estimation and high-adaptability remaining useful life prediction..

A novel adaptive back propagation neural network-unscented Kalman filtering algorithm for accurate lithium-ion battery state of charge estimation. (2022)
Journal Article
WANG, Y., WANG, S., FAN, Y., XIE, Y. and FERNANDEZ, C. 2022. A novel adaptive back propagation neural network-unscented Kalman filtering algorithm for accurate lithium-ion battery state of charge estimation. Metals [online], 12(8), article 1369. Available from: https://doi.org/10.3390/met12081369

Accurate State of Charge (SOC) estimation for lithium-ion batteries has great significance with respect to the correct decision-making and safety control. In this research, an improved second-order-polarization equivalent circuit (SO-PEC) modelling m... Read More about A novel adaptive back propagation neural network-unscented Kalman filtering algorithm for accurate lithium-ion battery state of charge estimation..

An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries. (2022)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., LI, H., XU, W. and FERNANDEZ, C. 2022. An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries. Energy [online], 260, article 125093. Available from: https://doi.org/10.1016/j.energy.2022.125093

Accurate state of charge (SOC) estimation of lithium-ion batteries by the battery management system (BMS) plays a prominent role in ensuring their reliability, safe operation, and acceptable durability in smart devices, electric vehicles, etc. In thi... Read More about An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries..

ICOSeg: real-time ICOS protein expression segmentation from immunohistochemistry slides using a lightweight conv-transformer network. (2022)
Journal Article
SINGH, V.K., SARKER, M.M.K., MAKHLOUF, Y., CRAIG, S.G., HUMPHRIES, M.P., LOUGHREY, M.B., JAMES, J.A., SALTO-TELLEZ, M., O'REILLY, P. and MAXWELL, P. 2022. ICOSeg: real-time ICOS protein expression segmentation from immunohistochemistry slides using a lightweight conv-transformer network. Cancers [online], 14(16), article 3910. Available from: https://doi.org/10.3390/cancers14163910

In this article, we propose ICOSeg, a lightweight deep learning model that accurately segments the immune-checkpoint biomarker, Inducible T-cell COStimulator (ICOS) protein in colon cancer from immunohistochemistry (IHC) slide patches. The proposed m... Read More about ICOSeg: real-time ICOS protein expression segmentation from immunohistochemistry slides using a lightweight conv-transformer network..

Value-added materials recovered from waste bone biomass: technologies and applications. (2022)
Journal Article
HART, A., EBIUNDU, K., PERETOMODE, E., ONYEAKA, H., NWABOR, O.F. and OBILEKE, K. 2022. Value-added materials recovered from waste bone biomass: technologies and applications. RSC advances [online], 12(34), pages 22302-22330. Available from: https://doi.org/10.1039/D2RA03557J

As the world population increases, the generation of waste bones will multiply exponentially, increasing landfill usage and posing health risks. This review aims to shed light on technologies for recovering valuable materials (e.g., alkaline earth ma... Read More about Value-added materials recovered from waste bone biomass: technologies and applications..

Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries. (2022)
Journal Article
SHI, H., WANG, S., FERNANDEZ, C., YU, C., XU, W., DABLU, B.E. and WANG, L. 2022. Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries. Applied energy [online], 324, article 119789. Available from: https://doi.org/10.1016/j.apenergy.2022.119789

The rapid development of new energy fields such as electric vehicles and smart grids has put forward higher requirements for the power management of battery integrated systems. Considering that internal temperature and parameter consistency are impor... Read More about Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries..

A novel equivalent modeling method combined with the splice-electrochemical polarization model and prior generalized inverse least-square parameter identification for UAV lithium-ion batteries. (2022)
Journal Article
PENG, J., SHI, H., WANG, S., WANG, L., FERNANDEZ, C., XIONG, X. and DABLU, B.E. 2022. A novel equivalent modeling method combined with the splice-electrochemical polarization model and prior generalized inverse least-square parameter identification for UAV lithium-ion batteries. Energy science and engineering [online], 10(10), pages 3727-3740. Available from: https://doi.org/10.1002/ese3.1268

The accuracy of lithium-ion battery state estimation is critical to the safety of unmanned aerial vehicles (UAVs). In this paper, aiming at the high-fidelity modeling of the UAV lithium-ion battery, a splice-electrochemical polarization model (S-EPM)... Read More about A novel equivalent modeling method combined with the splice-electrochemical polarization model and prior generalized inverse least-square parameter identification for UAV lithium-ion batteries..

Incremental capacity curve health-indicator extraction based on gaussian filter and improved relevance vector machine for lithium–ion battery remaining useful life estimation. (2022)
Journal Article
FAN, Y., QIU, J., WANG, S., YANG, X., LIU, D. and FERNANDEZ, C. 2022. Incremental capacity curve health-indicator extraction based on gaussian filter and improved relevance vector machine for lithium–ion battery remaining useful life estimation. Metals [online], 12(8), article 1331. Available from: https://doi.org/10.3390/met12081331

Accurate prediction of the remaining useful life (RUL) of lithium–ion batteries is the focus of lithium–ion battery health management. To achieve high–precision RUL estimation of lithium–ion batteries, a novel RUL prediction model is proposed by comb... Read More about Incremental capacity curve health-indicator extraction based on gaussian filter and improved relevance vector machine for lithium–ion battery remaining useful life estimation..

A novel square root adaptive unscented Kalman filter combined with variable forgetting factor recursive least square method for accurate state-of-charge estimation of lithium-ion batteries. (2022)
Journal Article
ZHANG, M., WANG, S., YANG, X., XU, W., YANG, X. and FERNANDEZ, C. 2022. A novel square root adaptive unscented Kalman filter combined with variable forgetting factor recursive least square method for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(9), article 220915. Available from: https://doi.org/10.20964/2022.09.27

Lithium-ion battery state-of-charge (SOC) serves as an important battery state parameter monitored by the battery management system (BMS), real-time and accurate estimation of the SOC is vital for safe, reasonable, and efficient use of the battery as... Read More about A novel square root adaptive unscented Kalman filter combined with variable forgetting factor recursive least square method for accurate state-of-charge estimation of lithium-ion batteries..

A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021. (2022)
Journal Article
PAN, Y., YIN, C., FERNANDEZ, C., FU, L. and LIN, C.-T. 2022. A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021. Polymers [online], 14(15), article 3011. Available from: https://doi.org/10.3390/polym14153011

Flame-retardant science and technology are sciences developed to prevent the occurrence of fire, meet the needs of social safety production, and protect people's lives and property. Rigid polyurethane (PU) is a polymer formed by the additional polyme... Read More about A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021..

Investigation of the effects of pipe diameter of internal multiphase flow on pipe elbow vibration and resonance. (2022)
Journal Article
ASIEGBU, N.M., HOSSAIN, M., DROUBI, G.M. and ISLAM, S.Z. 2023. Investigation of the effects of pipe diameter of internal multiphase flow on pipe elbow vibration and resonance. Proceedings of the Institution of Mechanical Engineers, part E: journal of process mechanical engineering [online], 237(4), pages 1319-1330. Available from: https://doi.org/10.1177/09544089221115520

Computational fluid dynamics modelling of internal two-phase flow induced transient forces at 90° elbows have been carried out to evaluate the effect of pipe diameter on the characteristics of multiphase flow induced vibration. Simulations of two-pha... Read More about Investigation of the effects of pipe diameter of internal multiphase flow on pipe elbow vibration and resonance..