Dual polarity multi-level boost DC-DC converter
(2024)
Presentation / Conference Contribution
Blackhorse-Hull, D., Mohanan-Leela, P., Alsafrani, A., Sarma, N., Crabtree, C., & Horsfall, A. (2024, June). Dual polarity multi-level boost DC-DC converter. Paper presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, UK
All Outputs (4059)
Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration (2024)
Presentation / Conference Contribution
Khadijah Hamzah, S., Kazemtabrizi, B., & Shahbazi, M. (2024, June). Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration. Presented at PEMD 2024: Power Electronics, Machines and Drives 13th International Conference, Nottingham, UKRenewable energy-based power systems are highly influenced by weather, creating uncertainty and variability in output that fluctuates over time, making the balancing of supply and demand much more challenging. A deterministic optimisation tool has li... Read More about Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration.
Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1 (2024)
Journal Article
Hamedani, P., Fazel, S. S., & Shahbazi, M. (2024). Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1. Journal of Electrical and Computer Engineering Innovations, 12(2), 439-448. https://doi.org/10.22061/jecei.2024.10665.728Background and Objectives: Modeling and simulation of electric railway networks is an important issue due to their non-linear and variant nature. This problem becomes more serious with the enormous growth in public transportation tracks and the numbe... Read More about Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1.
Enhancing lecture capture with deep learning (2024)
Journal Article
Sales, R. M., & Giani, S. (2024). Enhancing lecture capture with deep learning. Advances in Engineering Software, 196, Article 103732. https://doi.org/10.1016/j.advengsoft.2024.103732This paper provides an insight into the development of a state-of-the-art video processing system to address limitations within Durham University’s ‘Encore’ lecture capture solution. The aim of the research described in this paper is to digitally rem... Read More about Enhancing lecture capture with deep learning.
A SWOT Analysis approach for the development of Photovoltaic (PV) energy in Northern Nigeria (2024)
Journal Article
Bisu, A. A., Ahmed, T. G., Ahmad, U. S., & Maiwada, A. D. (2024). A SWOT Analysis approach for the development of Photovoltaic (PV) energy in Northern Nigeria. Cleaner Energy Systems, 9, Article 100128. https://doi.org/10.1016/j.cles.2024.100128This research employs a comprehensive Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis to investigate the advancement of photovoltaic (PV) energy in Northern Nigeria. The study delves into the intricacies of introducing PV systems within... Read More about A SWOT Analysis approach for the development of Photovoltaic (PV) energy in Northern Nigeria.
Stabilization of carbon through co-addition of water treatment residuals with anaerobic digested sludge in a coarse textured soil (2024)
Journal Article
Lukashe, N. S., Stone, W., Pereira, R., Trojahn, S., Hardie, A. G., Johnson, K. L., & Clarke, C. E. (in press). Stabilization of carbon through co-addition of water treatment residuals with anaerobic digested sludge in a coarse textured soil. Journal of Environmental Management, 366, Article 121904. https://doi.org/10.1016/j.jenvman.2024.121904Coarse textured soils have low potential to store carbon (C) due to lack of mineral oxides and have low clay content to protect C from biodegradation and leaching. This study evaluated the potential of stabilizing C by adding metal oxyhydroxide-rich... Read More about Stabilization of carbon through co-addition of water treatment residuals with anaerobic digested sludge in a coarse textured soil.
Multi‐band millimetre wave indoor directional channel measurements and analysis for future wireless communication systems (2024)
Journal Article
Al‐Jzari, A., & Salous, S. (online). Multi‐band millimetre wave indoor directional channel measurements and analysis for future wireless communication systems. IET Microwaves, Antennas & Propagation, https://doi.org/10.1049/mia2.12494Single‐input single‐output (SISO) three‐dimensional (3D) wideband indoor directional measurements collected in a factory environment and an office environment at 38 and 70 GHz are presented. 3D single‐input multiple‐output (SIMO) dual polarised measu... Read More about Multi‐band millimetre wave indoor directional channel measurements and analysis for future wireless communication systems.
Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems (2024)
Journal Article
Wen, Z., Liu, M., Zhao, N., Nallanathan, A., Yang, X., & Chen, Y. (online). Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems. IEEE Transactions on Cognitive Communications and Networking, https://doi.org/10.1109/TCCN.2024.3429375Symbiotic chirp-ultra wide bandwidth (UWB) radio system (SCURS) is a UWB radio system with the symbiosis of linear frequency modulation (LFM) and orthogonal frequency division multiplexing (OFDM) signals. It has a high data rate and can transmit data... Read More about Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems.
Surgical strategy in treatment of metopic synostosis in a single centre experience: technical note and quantitative analysis of the outcomes. (2024)
Journal Article
Zucchelli, M., Ruggiero, F., Babini, M., Lefosse, M., Borghi, A., Rodriguez-Florez, N., Tarsitano, A., Nicolini, F., & Galassi, E. (online). Surgical strategy in treatment of metopic synostosis in a single centre experience: technical note and quantitative analysis of the outcomes. Child's Nervous System, https://doi.org/10.1007/s00381-024-06520-7Trigonocephaly is the most common craniosynostosis involving orbits. Although some degree of agreement has been reached regarding surgical timing and indications for treatment, there is no consensus regarding the ideal operative technique to guarante... Read More about Surgical strategy in treatment of metopic synostosis in a single centre experience: technical note and quantitative analysis of the outcomes..
A New Iterative Design Strategy for Steel Frames Modelled by Generalised Multi-Stepped Beam Elements (2024)
Journal Article
Benfratello, S., Caddemi, S., Palizzolo, L., Pantò, B., & Rapicavoli, D. (2024). A New Iterative Design Strategy for Steel Frames Modelled by Generalised Multi-Stepped Beam Elements. Buildings, 14(7), Article 2155. https://doi.org/10.3390/buildings14072155The paper deals with frame steel structures required to ensure sufficient resistance, appropriate ductility and safety against brittle failure. This special aim cannot be reached by utilizing standard procedures and standard beam elements. Therefore,... Read More about A New Iterative Design Strategy for Steel Frames Modelled by Generalised Multi-Stepped Beam Elements.
Interlaminar faults in a GOFeSi laminated magnetic core: measurements and simulations (2024)
Presentation / Conference Contribution
Bahmani, H. (2024). Interlaminar faults in a GOFeSi laminated magnetic core: measurements and simulations. In 2024 IEEE International Magnetic Conference - Short papers (INTERMAG Short papers). https://doi.org/10.1109/INTERMAGShortPapers61879.2024.10576939Grain-oriented silicon steel (GOFeSi) laminations are massively used as magnetic cores in electrical energy converters (motors and transformers). Edge burrs can appear during the manufacturing process and be at the origin of interlaminar faults (ILFs... Read More about Interlaminar faults in a GOFeSi laminated magnetic core: measurements and simulations.
Solid oxide fuel cells with integrated direct air carbon capture: A techno-economic study (2024)
Journal Article
Griffiths, I., Wang, R., Ling-Chin, J., & Paul Roskilly, A. (2024). Solid oxide fuel cells with integrated direct air carbon capture: A techno-economic study. Energy Conversion and Management, 315, Article 118739. https://doi.org/10.1016/j.enconman.2024.118739Direct air carbon capture, as a negative emissions technology, is pivotal to lowering carbon dioxide concentration in the atmosphere. Accompanying the development and application of this technology, the high energy demand and substantial capital cost... Read More about Solid oxide fuel cells with integrated direct air carbon capture: A techno-economic study.
Advanced calibration of a 3D masonry arch bridge model using non-destructive testing and numerical optimisation (2024)
Journal Article
Pantò, B., Ortega, J., Grosman, S., Oliveira, D., Lourenço, P., Macorini, L., & Izzuddin, B. (2024). Advanced calibration of a 3D masonry arch bridge model using non-destructive testing and numerical optimisation. Construction and Building Materials, 438, Article 137131. https://doi.org/10.1016/j.conbuildmat.2024.137131Historical masonry arch bridges constitute the backbone of many existing transportation networks in different countries in Europe and worldwide. They represent valuable cultural heritage assets and play an essential social and economic role. Since co... Read More about Advanced calibration of a 3D masonry arch bridge model using non-destructive testing and numerical optimisation.
SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images. (2024)
Journal Article
Arian, R., Aghababaei, A., Soltanipour, A., Khodabandeh, Z., Rakhshani, S., Iyer, S. B., Ashtari, F., Rabbani, H., & Kafieh, R. (2024). SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images. Translational Vision Science & Technology, 13(7), Article 13. https://doi.org/10.1167/tvst.13.7.13Several machine learning studies have used optical coherence tomography (OCT) for multiple sclerosis (MS) classification with promising outcomes. Infrared reflectance scanning laser ophthalmoscopy (IR-SLO) captures high-resolution fundus images, comm... Read More about SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images..
Investigating factors influencing interlaminar stresses and energy release rates of semi-elliptical cracks at free edges (2024)
Journal Article
Burhan, M., Scalici, T., Ullah, Z., Kazancı, Z., & Catalanotti, G. (2024). Investigating factors influencing interlaminar stresses and energy release rates of semi-elliptical cracks at free edges. Engineering Fracture Mechanics, 307, Article 110274. https://doi.org/10.1016/j.engfracmech.2024.110274Traditional approaches that rely on stress or energy-based criteria to predict delamination require the determination of stresses before crack onset or energy release rates after crack initiation, respectively. While a relatively new coupled criterio... Read More about Investigating factors influencing interlaminar stresses and energy release rates of semi-elliptical cracks at free edges.
TiO2‐Based Schottky Diodes as Bidirectional Switches for Bipolar Resistive Memories (2024)
Journal Article
Zhang, X., Jin, J., Kim, J., Balocco, C., Zhang, J., & Song, A. (2024). TiO2‐Based Schottky Diodes as Bidirectional Switches for Bipolar Resistive Memories. physica status solidi (RRL) - Rapid Research Letters, https://doi.org/10.1002/pssr.202400156This study presents TiO2-based Schottky diodes designed as bidirectional switches for bipolar resistive memories. The TiO2 films in these Schottky diodes are prepared through an anodization process. The reverse current of these diodes exhibits an exp... Read More about TiO2‐Based Schottky Diodes as Bidirectional Switches for Bipolar Resistive Memories.
Frequency Spectrum Analysis of Magnetic Field Strength for Effective Condition Monitoring of Magnetic Cores (2024)
Presentation / Conference Contribution
Bahmani, H. (2024, May). Frequency Spectrum Analysis of Magnetic Field Strength for Effective Condition Monitoring of Magnetic Cores. Presented at IEEE International Magnetic Conference (InterMag 2024), Rio de Janeiro, BrazilThis paper presents a new approach for Inter-laminar Fault (ILF) analysis and condition monitoring of magnetic cores with Grain-Oriented Electrical Steels (GOES). The proposed technique relies on interpreting frequency spectrum of the magnetic field... Read More about Frequency Spectrum Analysis of Magnetic Field Strength for Effective Condition Monitoring of Magnetic Cores.
The study of a novel magnetic crankshaft (2024)
Journal Article
Wang, J., & Wang, Y. (2024). The study of a novel magnetic crankshaft. Energy Reports, 12, 608-616. https://doi.org/10.1016/j.egyr.2024.06.032This paper introduces a revolutionary mechanism, the Four-Translator Magnetic Crankshaft (FTMC), designed to address inherent limitations of the Magnetic Lead Screw (MLS) in energy storage and driving efficiency. The FTMC combines features of the MLS... Read More about The study of a novel magnetic crankshaft.
Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication (2024)
Journal Article
Chen, Y., Khuwaja, A. A., & Wang, C.-X. (2024). Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication. IEEE Transactions on Vehicular Technology, https://doi.org/10.1109/TVT.2024.3419423Ambient backscatter communication (ABC) is a promising method of reducing energy consumption in wireless communications. Previous works on signal detection for ABC often assume that the ambient source signal is always present during backscattering. H... Read More about Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication.
Unsupervised stochastic learning and reduced order modelling for global sensitivity analysis in cardiac electrophysiology models (2024)
Journal Article
El Moçayd, N., Belhamadia, Y., & Seaid, M. (in press). Unsupervised stochastic learning and reduced order modelling for global sensitivity analysis in cardiac electrophysiology models. Computer Methods and Programs in Biomedicine, https://doi.org/10.1016/j.cmpb.2024.108311
Background and Objective:
Numerical simulations in electrocardiology are often affected by various uncertainties inherited from the lack of precise knowledge regarding input values including those related to the c... Read More about Unsupervised stochastic learning and reduced order modelling for global sensitivity analysis in cardiac electrophysiology models.