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A classification-regression deep learning model for people counting (2018)
Conference Proceeding
Xu, B., Zou, W., Garibaldi, J., & Qiu, G. (2018). A classification-regression deep learning model for people counting. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1 (136-149). https://doi.org/10.1007/978-3-030-01054-6_9

In this paper, we construct a multi-task deep learning model to simultaneously predict people number and the level of crowd density. Motivated by the success of applying " ambiguous labelling " to age estimation problem, we also manage to employ this... Read More about A classification-regression deep learning model for people counting.

Static and dynamic crushing of novel porous crochet-sintered metal and its filled composite tube (2018)
Journal Article
Wu, F., Liu, T., Xiao, X., Zhang, Z., & Hou, J. (2019). Static and dynamic crushing of novel porous crochet-sintered metal and its filled composite tube. Composite Structures, 209, 830-843. https://doi.org/10.1016/j.compstruct.2018.11.022

© 2018 Elsevier Ltd A novel porous crochet-sintered metal (PCSM) is fabricated by rolling a crocheted porous cloth and subsequent vacuum sintering using a continual single super-fine soft 304 rope twisted by 49 fibers as raw material. This work inves... Read More about Static and dynamic crushing of novel porous crochet-sintered metal and its filled composite tube.

Electrically induced and detected Néel vector reversal in a collinear antiferromagnet (2018)
Journal Article
Godinho, J., Reichlová, H., Kriegner, D., Novák, V., Olejník, K., Kašpar, Z., …Wunderlich, J. (2018). Electrically induced and detected Néel vector reversal in a collinear antiferromagnet. Nature Communications, 9(1), Article 4686. https://doi.org/10.1038/s41467-018-07092-2

© 2018, The Author(s). Antiferromagnets are enriching spintronics research by many favorable properties that include insensitivity to magnetic fields, neuromorphic memory characteristics, and ultra-fast spin dynamics. Designing memory devices with el... Read More about Electrically induced and detected Néel vector reversal in a collinear antiferromagnet.

Potential improvements in turbofan idle steady state and transient performance (2018)
Conference Proceeding
Enalou, H. B., Rashed, M., & Bozhko, S. (2018). Potential improvements in turbofan idle steady state and transient performance

Once the engine is designed, imbalanced air massflow between LP and HP compressors at low speed settings is inevitable which enforces implementing of bleeding. However, by emerging More Electric Aircraft (MEA) with electrical machines on both HP and... Read More about Potential improvements in turbofan idle steady state and transient performance.

Repetitive transcranial magnetic stimulation over the left posterior middle temporal gyrus reduces wrist velocity during emblematic hand gesture imitation (2018)
Journal Article
Reader, A. T., & Holmes, N. P. (2019). Repetitive transcranial magnetic stimulation over the left posterior middle temporal gyrus reduces wrist velocity during emblematic hand gesture imitation. Brain Topography, 32(2), 332-341. https://doi.org/10.1007/s10548-018-0684-1

© 2018, The Author(s). Results from neuropsychological studies, and neuroimaging and behavioural experiments with healthy individuals, suggest that the imitation of meaningful and meaningless actions may be reliant on different processing routes. The... Read More about Repetitive transcranial magnetic stimulation over the left posterior middle temporal gyrus reduces wrist velocity during emblematic hand gesture imitation.

Clinical assessment of depth sensor based pose estimation algorithms for technology supervised rehabilitation applications (2018)
Journal Article
Sarsfield, J., Brown, D., Sherkat, N., Langensiepen, C., Lewis, J., Taheri, M., …Hughes, E. (2019). Clinical assessment of depth sensor based pose estimation algorithms for technology supervised rehabilitation applications. International Journal of Medical Informatics, 121, 30-38. https://doi.org/10.1016/j.ijmedinf.2018.11.001

Encouraging rehabilitation by the use of technology in the home can be a cost-effective strategy, particularly if consumer-level equipment can be used. We present a clinical qualitative and quantitative analysis of the pose estimation algorithms of a... Read More about Clinical assessment of depth sensor based pose estimation algorithms for technology supervised rehabilitation applications.

"The Penguins are coming": brand mascots and utopian mass consumption in interwar Britain (2018)
Journal Article
Hornsey, R. (2018). "The Penguins are coming": brand mascots and utopian mass consumption in interwar Britain. Journal of British Studies, 57(4), 812-839. https://doi.org/10.1017/jbr.2018.116

This article explores the cultural dynamics of branding and mass consumption in Britain during the 1920s and 1930s. It focuses on Penguin Books’ cartoon mascot, which appeared on all of the firm's paperback covers and in-store promotional material fr... Read More about "The Penguins are coming": brand mascots and utopian mass consumption in interwar Britain.

Psychosocial characteristics of blood donors influence their voluntary non-medical lapse (2018)
Journal Article
Merz, E., Ferguson, E., & van Dongen, A. (2018). Psychosocial characteristics of blood donors influence their voluntary non-medical lapse. Transfusion, 58(11), 2596-2603. https://doi.org/10.1111/trf.14891

Background: Approximately 10% of Dutch donors lapse yearly. Common reasons are non-voluntary medical issues (e.g., low Hemoglobin), reaching the upper age limit, and voluntary (e.g., own request, non-response). Little is known about predictors of vol... Read More about Psychosocial characteristics of blood donors influence their voluntary non-medical lapse.

Deep learning approaches to aircraft maintenance, repair and overhaul: a review (2018)
Conference Proceeding
Rengasami, D., Morvan, H., & Patrocinio Figueredo, G. (2018). Deep learning approaches to aircraft maintenance, repair and overhaul: a review. In 21st IEEE International Conference on Intelligent Transportation Systemshttps://doi.org/10.1109/ITSC.2018.8569502

The use of sensor technology constantly gathering aircrafts' status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft maint... Read More about Deep learning approaches to aircraft maintenance, repair and overhaul: a review.

Active learning in Gaussian process interpolation of potential energy surfaces (2018)
Journal Article
Uteva, E., Graham, R. S., Wilkinson, R. D., & Wheatley, R. J. (2018). Active learning in Gaussian process interpolation of potential energy surfaces. Journal of Chemical Physics, 149(17), 174114. https://doi.org/10.1063/1.5051772

© 2018 Author(s). Three active learning schemes are used to generate training data for Gaussian process interpolation of intermolecular potential energy surfaces. These schemes aim to achieve the lowest predictive error using the fewest points and th... Read More about Active learning in Gaussian process interpolation of potential energy surfaces.

Generator overload reduction using smart power management (2018)
Conference Proceeding
Spagnolo, C., Sumsurooah, S., Hill, C., & Bozhko, S. (2018). Generator overload reduction using smart power management. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)

Weight reduction is a key driver in the aerospace sector. Every kilogram of weight reduction has significant benefits over the aircraft’s life cycle. This paper introduces a smart power management technique which is able to reduce the overload on the... Read More about Generator overload reduction using smart power management.

A reliability approach for the MEA power system architecture design optimization problem (2018)
Conference Proceeding
Recalde, A., Bozhko, S., Atkin, J., & Hill, C. (2018). A reliability approach for the MEA power system architecture design optimization problem. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)

In the literature, there has been thorough research on reliability-based design in different fields. However, aircraft power system investigations have mostly dealt with sub-system optimization. Hence, there is considerable potential to excel innova... Read More about A reliability approach for the MEA power system architecture design optimization problem.

3L-NPC AC-DC power converter using virtual space vector PWM with optimal switching sequence based on G-h coordinate (2018)
Conference Proceeding
Guo, F., Yang, T., Bozhko, S., & Wheeler, P. (2018). 3L-NPC AC-DC power converter using virtual space vector PWM with optimal switching sequence based on G-h coordinate. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)

Model Predictive Control Based PID Controller for PMSM for Propulsion Systems (2018)
Conference Proceeding
Abdelrauf, A. A., Saad, W. W., Hebala, A., & Galea, M. (2018). Model Predictive Control Based PID Controller for PMSM for Propulsion Systems. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2018 (1-7). https://doi.org/10.1109/ESARS-ITEC.2018.8607585

Model Predictive Control (MPC) is one of the most suitable controllers for industrial applications, especially for constrained systems. However, it requires high computational burden, which is considered as the main drawback. Proportional Integral De... Read More about Model Predictive Control Based PID Controller for PMSM for Propulsion Systems.

Gelfand-Yaglom formula for functional determinants in higher dimensions (2018)
Journal Article
Ossipov, A. (2018). Gelfand-Yaglom formula for functional determinants in higher dimensions. Journal of Physics A: Mathematical and Theoretical, 51(49), https://doi.org/10.1088/1751-8121/aae8a7

The Gelfand–Yaglom formula relates functional determinants of the one-dimensional second order differential operators to the solutions of the corresponding initial value problem. In this work we generalise the Gelfand–Yaglom method by considering dis... Read More about Gelfand-Yaglom formula for functional determinants in higher dimensions.

Frost heave in freezing soils: a quasi-static model for ice lens growth (2018)
Journal Article
Ji, Y., Zhou, G., Zhou, Y., & Vandeginste, V. (2019). Frost heave in freezing soils: a quasi-static model for ice lens growth. Cold Regions Science and Technology, 158, 10-17. https://doi.org/10.1016/j.coldregions.2018.11.003

Frost heave can have a very destructive impact on infrastructure in permafrost regions. The complexity of nanoscale ice-mineral interactions and their relation to the macroscale frost heave phenomenon make ice lens growth modeling an interesting but... Read More about Frost heave in freezing soils: a quasi-static model for ice lens growth.

Restricting shuttling in bis(imidazolium)…pillar[5]arene rotaxanes using metal coordination (2018)
Journal Article
Langer, P., Yang, L., Pfeiffer, C. R., Lewis, W., & Champness, N. R. (2018). Restricting shuttling in bis(imidazolium)…pillar[5]arene rotaxanes using metal coordination. Dalton Transactions, 48(1), 58-64. https://doi.org/10.1039/c8dt04096f

Metal coordination to a series of bis(imidazolium)…pillar[5]arene [2]rotaxanes through the formation of metal-carbene bonds facilitates a new strategy to restrict the shuttling motion in [2]rotaxanes. Whereas the pillar[5]arene macrocycle rapidly shu... Read More about Restricting shuttling in bis(imidazolium)…pillar[5]arene rotaxanes using metal coordination.