Model predictive control of connected spacecraft formation. (2022)
Journal Article
KANNAN, S., BHOWMICK, P. and ALAMDARI, S.A.S. 2022. Model predictive control of connected spacecraft formation. IFAC papers online [online], 55(22): proceedings of the 22nd IFAC (International Federation of Automatic Control) symposium on Automatic control in aerospace 2022 (ACA 2022), 21-25 November 2022, Mumbai, India, pages 322-327. Available from: https://doi.org/10.1016/j.ifacol.2023.03.054

In this contribution the authors discuss the application of Model Predictive Control (MPC) to achieve a connected network formation of spacecrafts. A set of three spacecrafts are used to achieve in-plane formation which are initially in a connected n... Read More about Model predictive control of connected spacecraft formation..

Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter. (2022)
Journal Article
XIAO, W., WANG, S., YU, C., YANG, X., QIU, J. and FERNANDEZ, C. 2022. Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter. Journal of The Electrochemical Society [online], 169(12), 120534. Available from: https://doi.org/10.1149/1945-7111/acaa5b

State of Charge (SOC) estimation is the focus of battery management systems, and it is critical to accurately estimate battery SOC in complex operating environments. To weaken the impact of unreasonable forgetting factor values on parameter estimatio... Read More about Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter..

A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation. (2022)
Journal Article
XIONG, R., WANG, S., YU, C., FERNANDEZ, C., XIAO, W. and JIA, J. 2023. A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation. Journal of energy storage [online], 59, article 106484. Available from: https://doi.org/10.1016/j.est.2022.106484

With the rapid development of electric energy storage, more and more attention has been paid to the accurate construction of energy storage lithium-ion battery (LIB) model and the efficient monitoring of battery states. Based on this requirement, a s... Read More about A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation..

A feasibility study into the production of a mussel matrix reference material for the cyanobacterial toxins microcystins and nodularins. (2022)
Journal Article
TURNER, A.D., BEACH, D.G., FOSS, A., SAMDAL, I.A., LØVBERG, K.L.E., WAACK, J., EDWARDS, C., LAWTON, L.A., DEAN, K.J., MASKREY, B.H. and LEWIS, A.M. 2023. A feasibility study into the production of a mussel matrix reference material for the cyanobacterial toxins microcystins and nodularins. Toxins [online], 15(1), article 27. Available from: https://doi.org/10.3390/toxins15010027

Microcystins and nodularins, produced naturally by certain species of cyanobacteria, have been found to accumulate in aquatic foodstuffs such as fish and shellfish, resulting in a risk to the health of the seafood consumer. Monitoring of toxins in su... Read More about A feasibility study into the production of a mussel matrix reference material for the cyanobacterial toxins microcystins and nodularins..

Efficient breast cancer classification network with dual squeeze and excitation in histopathological images. (2022)
Journal Article
SARKER, M.M.K., AKRAM, F., ALSHARID, M., SINGH, V.K., YASRAB, R. and ELYAN, E. 2023. Efficient breast cancer classification network with dual squeeze and excitation in histopathological images. Diagnostics [online], 13(1), article 103. Available from: https://doi.org/10.3390/diagnostics13010103

Medical image analysis methods for mammograms, ultrasound, and magnetic resonance imaging (MRI) cannot provide the underline features on the cellular level to understand the cancer microenvironment which makes them unsuitable for breast cancer subtyp... Read More about Efficient breast cancer classification network with dual squeeze and excitation in histopathological images..

An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation. (2022)
Journal Article
HAO, X., WANG, S., FAN, Y., XIE, Y. and FERNANDEZ, C. 2023. An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation. Journal of energy storage [online], 59, article 106478. Available from: https://doi.org/10.1016/j.est.2022.106478

As an indispensable part of the battery management system, accurately predicting the estimation of the state of charge (SOC) has attracted more attention, which can improve the efficiency of battery use and ensure its safety performance. Taking the t... Read More about An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation..

Comparative strength and stability analysis of conventional and lighter composite flexible risers in ultra-deep water subsea environment. (2022)
Journal Article
NAMMI, S.K., GUPTA, R. and PANCHOLI, K. [2022]. Comparative strength and stability analysis of conventional and lighter composite flexible risers in ultra-deep water subsea environment. Proceedings of the Institution of Mechanical Engineers, Part E: journal of process mechanical engineering [online], OnlineFirst. Available from: https://doi.org/10.1177/09544089221144394

The hybrid flexible risers have a multi-layered structure and use thermoplastic composite for the pressure and tensile armour. In contrast, a conventional flexible riser uses heavier carbon steel as armour which significantly contributes to its weigh... Read More about Comparative strength and stability analysis of conventional and lighter composite flexible risers in ultra-deep water subsea environment..

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)
Journal Article
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), 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)
Journal Article
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..

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..

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..