Outputs (267)

An unsupervised domain adaptation method towards multi-level features and decision boundaries for cross-scene hyperspectral image classification. (2022)
Journal Article
ZHAO, C., QIN, B., FENG, S., ZHU, W., ZHANG, L. and REN, J. 2022. An unsupervised domain adaptation method towards multi-level features and decision boundaries for cross-scene hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], 60, article 5546216. Available from: https://doi.org/10.1109/TGRS.2022.3230378

Despite success in the same-scene hyperspectral image classification (HSIC), for the cross-scene classification, samples between source and target scenes are not drawn from the independent and identical distribution, resulting in significant performa... Read More about An unsupervised domain adaptation method towards multi-level features and decision boundaries for cross-scene hyperspectral image classification..

Effects of titanium oxide and graphene as nano-fillers on the thermal conductivity of biobased phase change materials as latent thermal heat storage. (2022)
Presentation / Conference Contribution
HASBI, S., NORAZMAN, N. and SAHARUDIN, M.S. 2023. Effects of titanium oxide and graphene as nano-fillers on the thermal conductivity of biobased phase change materials as latent thermal heat storage. Materials today: proceedings [online], 75(1): proceedings of the 2022 Innovative manufacturing, mechatronics and material forum (iM3F 2022), 20 July 2022, Pekan Malaysia, pages 181-187. Available from: https://doi.org/10.1016/j.matpr.2022.11.426

Biobased phase change materials (BPCMs) have attracted much attention as they offer proper melting temperature, high heat capacity, non-corrosive, low cost, and are abundantly available. However, the BPCMs have a low thermal conductivity which limits... Read More about Effects of titanium oxide and graphene as nano-fillers on the thermal conductivity of biobased phase change materials as latent thermal heat storage..

An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries. (2022)
Journal Article
GAO, H., WANG, S., QIAO, J., YANG, X. and FERNANDEZ, C. 2022. An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries. Journal of The Electrochemical Society [online], 169(12), article 120502. Available from: https://doi.org/10.1149/1945-7111/aca6a2

Establishing a capacity degradation model accurately and predicting the remaining useful life of lithium-ion batteries scientifically are of great significance for ensuring safety and reliability throughout the batteries' whole life cycle. Aiming at... Read More about An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries..

Object-based attention mechanism for color calibration of UAV remote sensing images in precision agriculture. (2022)
Journal Article
HUANG, H., TANG, Y., TAN, Z., ZHUANG, J., HOU, C., CHEN, W. and REN, J. 2022. Object-based attention mechanism for color calibration of UAV remote sensing images in precision agriculture. IEEE transactions on geoscience and remote sensing [online], 60, article number 4416013. Available from: https://doi.org/10.1109/TGRS.2022.3224580

Color calibration is a critical step for unmanned aerial vehicle (UAV) remote sensing, especially in precision agriculture, which relies mainly on correlating color changes to specific quality attributes, e.g. plant health, disease, and pest stresses... Read More about Object-based attention mechanism for color calibration of UAV remote sensing images in precision agriculture..

Hyperspectral imaging based detection of PVC during Sellafield repackaging procedures. (2022)
Journal Article
ZABALZA, J., MURRAY, P., MARSHALL, S., REN, J., BERNARD, R. and HEPWORTH, S. 2023. Hyperspectral imaging based detection of PVC during Sellafield repackaging procedures. IEEE sensors journal [online], 23(1), pages 452-459. Available from: https://doi.org/10.1109/JSEN.2022.3221680

Traditionally, Special Nuclear Material (SNM) at Sellafield has been stored in multi-layered packages, consisting of metallic cans and an over-layer of plasticized Polyvinyl Chloride (PVC) as an intermediate layer when transitioning between areas of... Read More about Hyperspectral imaging based detection of PVC during Sellafield repackaging procedures..

Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM). (2022)
Journal Article
ROHAN, A. 2022. Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM). Sensors [online], 22(23), article 9064. Available from: https://doi.org/10.3390/s22239064

Most methodologies for fault detection and diagnosis in prognostics and health management (PHM) systems use machine learning (ML) or deep learning (DL), in which either some features are extracted beforehand (in the case of typical ML approaches) or... Read More about Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM)..

A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. (2022)
Journal Article
QIAO, J., WANG, S., YU, C., YANG, X. and FERNANDEZ, C. 2022. A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. Energy [online], 263(Part E), article 126164. Available from: https://doi.org/10.1016/j.energy.2022.126164

In this research, a novel dynamic migration model is proposed, which can better describe the dynamic characteristics of the lithium-ion batteries under different aging states by adjusting the battery parameters in real-time. A novel chaotic firefly -... Read More about A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance..

Enhancing the appearance of building integrated photovoltaics (BIPV) through the application of traditional symbols: a case study. (2022)
Presentation / Conference Contribution
AWUKU, S.A., BENNADJI, A. MUHAMMAD-SUKKI, F. and SELLAMI, N. 2022. Enhancing the appearance of building integrated photovoltaics (BIPV) through the application of traditional symbols: a case study. AIP conference proceedings: proceedings of 3rd International conference on energy and power 2021 (ICEP 2021), 18-20 November 2021, Chiang Mai, Thailand [online], 2681, article 020050. Available from: https://doi.org/10.1063/5.0114941

Over the past years, advanced renewable technologies such as Building Integrated Photovoltaics (BIPV) has transformed to become more efficient, reliable, less costly and attractive. A migration to Net-Zero Energy Buildings (NZEB) and push for Green B... Read More about Enhancing the appearance of building integrated photovoltaics (BIPV) through the application of traditional symbols: a case study..

Manufacturing defects in thermoplastic composite pipes and their effect on the in-situ performance of thermoplastic composite pipes in oil and gas applications. (2022)
Journal Article
OKOLIE, O., LATTO, J., FAISAL, N., JAMIESON, H., MUKHERJI, A. and NJUGUNA, J. 2023. Manufacturing defects in thermoplastic composite pipes and their effect on the in-situ performance of thermoplastic composite pipes in oil and gas applications. Applied composite materials [online], 30(1), pages 231-306. Available from: https://doi.org/10.1007/s10443-022-10066-9

Thermoplastic composite pipes (TCP), which are a form of fibre reinforced thermoplastic pipes, have proven benefits such as being lightweight and non-corrosive. However, during manufacturing, certain defects are induced because of certain parameters,... Read More about Manufacturing defects in thermoplastic composite pipes and their effect on the in-situ performance of thermoplastic composite pipes in oil and gas applications..

Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model. (2022)
Journal Article
KHAN, Z., KHAN, M., YOOK, S.-J., KHAN, A., YOUNAS, M., ZAHIR, M.Z. and ASAD, M. 2022. Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model. Materials [online], 15(22), article 7997. Available from: https://doi.org/10.3390/ma15227997

This research presents a fully coupled 3D numerical model to analyse the dynamics of high-speed electromagnetic forming process for aluminium alloy AA6061-T6. The effect of Lorentz force distribution, velocity and kinetic energy on deformation, the b... Read More about Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model..

Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule. (2022)
Journal Article
HOSSAIN, M., CHINENYE-KANU, N., FAISAL, N.H., PRATHURU, A., ASIM, T. and BANIK, S. 2023. Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule. Aerosol science and engineering [online], 7(1), pages 96-106. Available from: https://doi.org/https://doi.org/10.1007/s41810-022-00165-2

The purpose of the study is to investigate the dispersion of droplet nuclei/aerosol which are produced during coughing and continuous talking to quantify the risk of infection due to airborne disease transmission. A three-dimensional modelling of aer... Read More about Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule..

Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries. (2022)
Journal Article
ZHANG, C., WANG, S., YU, C., XIE, Y. and FERNANDEZ, C. 2022. Novel improved particle swarm optimization-extreme learning algorithm for state of charge estimation of lithium-ion batteries. Industrial and engineering chemistry research [online], 61(46), pages 17209-17217. Available from: https://doi.org/10.1021/acs.iecr.2c02476

Incisively estimating the state of charge (SOC) of lithium-ion batteries is essential to ensure the safe and stable operation of a battery management system. Neural network methods do not depend on a specific lithium-ion battery model and are able to... Read More about Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries..

Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. (2022)
Journal Article
CAO, J., WANG, S., XIE, Y. and FERNANDEZ, C. 2023. Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. International journal of circuit theory and applications [online], 51(4), pages 1902-1917. Available from: https://doi.org/10.1002/cta.3500/

Because of the common data redundancy phenomenon in the current least-squares parameter identification algorithm and the complex offline parameter identification process, this research innovatively proposes a Limited Memory Multi-Innovation Least Squ... Read More about Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model..

Digital condition monitoring for wider blue economy. (2022)
Presentation / Conference Contribution
HASAN, M.J., YAN, Y. and REN, J. 2022. Digital condition monitoring for wider blue economy. Presented at the 12th Annual science meeting of the Marine Alliance for Science and Technology for Scotland (MASTS ASM 2022), 8-10 November 2022, Glasgow, UK.

In the process of decommissioning energy systems, condition monitoring is crucial. It can make the health status of offshore oil and gas installations, pipelines, wind farms etc. transparent to policymakers and stakeholders, and aid them in creating... Read More about Digital condition monitoring for wider blue economy..

An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. (2022)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., YANG, X. and FERNANDEZ, C. 2022. An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Applied energy [online], 326, article 120043. Available from: https://doi.org/10.1016/j.apenergy.2022.120043

Accurate state of charge (SOC) estimation at different operating temperatures is essential for the reliable and safe operation of battery management systems (BMS) for lithium-ion batteries in electric vehicles (EVs). In this paper, an optimized long-... Read More about An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries..

In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison. (2022)
Journal Article
DOUGLAS, A. and FREMANTLE, C. 2022. In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison. Women eco artists dialog magazine [online], 13: the art of empathy. Available from: https://directory.weadartists.org/in-conversation-a-poetics-of-empathy

Helen Mayer Harrison and Newton Harrison are pioneers in the creative development of art and ecology. It was Helen who read Rachel Carson's Silent Spring, a critical influence in their decision in the early 1970s to do no work that did not in some wa... Read More about In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison..

Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing. (2022)
Journal Article
GOBINA, E., GIWA, A. and BEN-ARON, A. 2022. Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing. Membrane technology [online], 22(8), article 70088-2. Available from: https://doi.org/10.12968/S0958-2118(22)70088-2

Membranes are at the heart of the green hydrogen economy and are used at every stage along the infrastructure highway – from production of the gas to its end use. This article looks at the role membranes play in electrolysers, and carbon capture and... Read More about Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing..

Effect of stator blades on the startup dynamics of a vertical axis wind turbine. (2022)
Journal Article
ASIM, T., SINGH, D., SIDDIQUI, M.S. and MCGLINCHEY, D. 2022. Effect of stator blades on the startup dynamics of a vertical axis wind turbine. Energies [online], 15(21), 8135. Available from: https://doi.org/10.3390/en15218135

Vertical Axis Wind Turbines (VAWTs) are omni-directional, low-cost, low-efficiency wind power extractors. A conventional drag-based VAWT consists of multiple thin rotor blades with a typical peak Tip Speed Ratio (λ) of less than 1. Their lower cut-in... Read More about Effect of stator blades on the startup dynamics of a vertical axis wind turbine..

Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study. (2022)
Journal Article
PESTANA, C.J., SANTOS, A.A., CAPELO-NETO, J. et al. 2022. Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study. Water research [online], 226, article 119299. Available from: https://doi.org/10.1016/j.watres.2022.119299

Cyanobacteria and their toxic secondary metabolites present challenges for water treatment globally. In this study we have assessed TiO2 immobilized onto recycled foamed glass beads by a facile calcination method, combined in treatment units with 365... Read More about Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study..

Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves. (2022)
Journal Article
LIU, X., ZHU, G., ASIM, T. and MISHRA, R. 2022. Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves. Fuel [online], 333(Part 2), article 126413. Available from: https://doi.org/10.1016/j.fuel.2022.126413

Combustion of hybrid natural gas (methane) and hydrogen mixture in domestic swirl stoves has been characterized using hot-state experiments and numerical analysis. The detailed combustion mechanism of methane and hydrogen (GRI-Mech 3.0) has been simp... Read More about Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves..