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Identifying the wavenumber for the inverse Helmholtz problem using an enriched finite element formulation (2018)
Journal Article
Jiang, J., Mohamed, M. S., Seaid, M., & Li, H. (2018). Identifying the wavenumber for the inverse Helmholtz problem using an enriched finite element formulation. Computer Methods in Applied Mechanics and Engineering, 340, 615-629. https://doi.org/10.1016/j.cma.2018.06.014

We investigate the inverse problem of identifying the wavenumber for the Helmholtz equation. The problem solution is based on measurements taken at few points from inside the computational domain or on its boundary. A novel iterative approach is prop... Read More about Identifying the wavenumber for the inverse Helmholtz problem using an enriched finite element formulation.

Damping of selectively bonded 3D woven lattice materials (2018)
Journal Article
Salari-Sharif, L., Ryan, S. M., Pelacci, M., Guest, J. K., Valdevit, L., & Szyniszewski, S. (2018). Damping of selectively bonded 3D woven lattice materials. Scientific Reports, 8(1), Article 14572. https://doi.org/10.1038/s41598-018-32625-6

The objective of this paper is to unveil a novel damping mechanism exhibited by 3D woven lattice materials (3DW), with emphasis on response to high-frequency excitations. Conventional bulk damping materials, such as rubber, exhibit relatively low sti... Read More about Damping of selectively bonded 3D woven lattice materials.

Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets (2018)
Journal Article
Hua, W., Li, D., Sun, H., Matthews, P., & Meng, F. (2018). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. International journal of smart grid and clean energy, 7(4), 231-239. https://doi.org/10.12720/sgce.7.4.231-239

In order to alleviate the effects of greenhouse gas emissions, the environmental and economic dispatch (EED) is formulated as multiobjective optimization problem (MOP) solved by multiobjective immune algorithm (MOIA). Building on this model, the virt... Read More about Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets.

Effects of EGR rates on combustion and emission characteristics in a diesel engine with n-butanol/PODE3-4/diesel blends (2018)
Journal Article
Huang, H., Li, Z., Teng, W., Huang, R., Liu, Q., & Wang, Y. (2019). Effects of EGR rates on combustion and emission characteristics in a diesel engine with n-butanol/PODE3-4/diesel blends. Applied Thermal Engineering, 146, 212-222. https://doi.org/10.1016/j.applthermaleng.2018.09.126

An experimental investigation is conducted on the influence of EGR (Exhaust Gas Recirculation) rates (0–40%) on the combustion and emission characteristics of n-butanol/diesel/PODE3-4 blends at low-temperature combustion mode in diesel engine. The re... Read More about Effects of EGR rates on combustion and emission characteristics in a diesel engine with n-butanol/PODE3-4/diesel blends.

SWIPT massive MIMO systems with active eavesdropping (2018)
Journal Article
Alageli, M., Ikhlef, A., & Chambers, J. (2019). SWIPT massive MIMO systems with active eavesdropping. IEEE Journal on Selected Areas in Communications, 37(1), 233-247. https://doi.org/10.1109/jsac.2018.2872370

We consider the optimization of the downlink transmission for simultaneous wireless information and power transfer (SWIPT) in multi-cell massive multiple-input multiple-output systems. The system comprises a two-antenna active energy harvester (EH) w... Read More about SWIPT massive MIMO systems with active eavesdropping.

An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect (2018)
Journal Article
Huang, S., Peng, L., Wang, Q., & Wang, S. (2019). An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect. IEEE Transactions on Instrumentation and Measurement, 68(6), 2229-2236. https://doi.org/10.1109/tim.2018.2869438

The defect opening profile recognition is of great concern in the magnetic flux leakage (MFL) measurement technique. The detected spatial MFL signal has three components: horizontal, vertical, and normal components. Horizontal and normal component si... Read More about An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect.

An irregular current injection islanding detection method based on an improved impedance measurement scheme (2018)
Journal Article
Liu, M., Zhao, W., Wang, Q., Huang, S., & Shi, K. (2018). An irregular current injection islanding detection method based on an improved impedance measurement scheme. Energies, 11(2474), Article 2474. https://doi.org/10.3390/en11092474

One class of islanding detection methods, known as impedance measurement-based methods and voltage change monitoring-based methods, are implemented through injecting irregular currents into the network, for which reason they are defined in this paper... Read More about An irregular current injection islanding detection method based on an improved impedance measurement scheme.

Joint transmitter selection and resource management strategy based on low probability of intercept optimization for distributed radar networks (2018)
Journal Article
Shi, C., Wang, F., Salous, S., & Zhou, J. (2018). Joint transmitter selection and resource management strategy based on low probability of intercept optimization for distributed radar networks. Radio Science, 53(9), 1108-1134. https://doi.org/10.1029/2018rs006584

In this paper, a joint transmitter selection and resource management (JTSRM) strategy based on low probability of intercept (LPI) is proposed for target tracking in distributed radar network system. The basis of the JTSRM strategy is to utilize the o... Read More about Joint transmitter selection and resource management strategy based on low probability of intercept optimization for distributed radar networks.

Evolutionary Optimisation of THz components (2018)
Presentation / Conference Contribution
Fenlon, V., Lees, R., Stefanova, P. S., Klein, A. K., Gallant, A. J., & Balocco, C. (2018, December). Evolutionary Optimisation of THz components. Presented at 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), Nagoya, Japan

Material Characterization with Frequency Domain THz Ellipsometry (2018)
Presentation / Conference Contribution
Klein, A. K., Stefanova, P. S., Gallant, A., & Balocco, C. (2018, December). Material Characterization with Frequency Domain THz Ellipsometry. Presented at 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection (2018)
Presentation / Conference Contribution
Dunnings, A., & Breckon, T. (2018, October). Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection. Presented at 25th IEEE International Conference on Image Processing (ICIP)., Athens, Greece

In this work we investigate the automatic detection of fire pixel regions in video (or still) imagery within real-time bounds without reliance on temporal scene information. As an extension to prior work in the field, we consider the performance of e... Read More about Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection.

Infrared Image Colorization Using S-Shape Network (2018)
Presentation / Conference Contribution
Dong, Z., Kamata, S., & Breckon, T. (2018, October). Infrared Image Colorization Using S-Shape Network. Presented at 25th IEEE International Conference on Image Processing (ICIP)., Athens, Greece

This paper proposes a novel approach for colorizing near infrared (NIR) images using a S-shape network (SNet). The proposed approach is based on the usage of an encoder-decoder architecture followed with a secondary assistant network. The encoder-dec... Read More about Infrared Image Colorization Using S-Shape Network.

Bernstein - Bézier based finite elements for efficient solution of short wave problems (2018)
Journal Article
El Kacimi, A., Laghrouche, O., Mohamed, M., & Trevelyan, J. (2019). Bernstein - Bézier based finite elements for efficient solution of short wave problems. Computer Methods in Applied Mechanics and Engineering, 343, 166-185. https://doi.org/10.1016/j.cma.2018.07.040

In this work, the Bernstein-Bézier Finite Element Method (BBFEM) is implemented to solve short wave problems governed by the Helmholtz equation on unstructured triangular mesh grids. As for the hierarchical Finite Element (FE) approach, this high ord... Read More about Bernstein - Bézier based finite elements for efficient solution of short wave problems.

Multifunctional waveguide interferometer sensor: simultaneous detection of refraction and absorption with size-exclusion function (2018)
Journal Article
Zhou, C., Hedayati, M. K., & Kristensen, A. (2018). Multifunctional waveguide interferometer sensor: simultaneous detection of refraction and absorption with size-exclusion function. Optics Express, 26(19), 24372-24383. https://doi.org/10.1364/oe.26.024372

A waveguide Young interferometer is presented with simultaneous detection of complex refractive index of a liquid sample. The real part of the refractive index change (refraction) is detected by tracing phase shifts of the interferogram generated by... Read More about Multifunctional waveguide interferometer sensor: simultaneous detection of refraction and absorption with size-exclusion function.

A study on meteorological parameters in oat lodging (2018)
Presentation / Conference Contribution
Mohammadi, M., Baker, C., Sterling, M., & Finnan, J. (2018, September). A study on meteorological parameters in oat lodging. Paper presented at 13th UK Conference on Wind Engineering, Leeds, UK

Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery (2018)
Presentation / Conference Contribution
Payen de La Garanderie, G., Atapour-Abarghouei, A., & Breckon, T. (2018, September). Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery. Presented at 15th European Conference on Computer Vision (ECCV 2018), Munich, Germany

Recent automotive vision work has focused almost exclusively on processing forward-facing cameras. However, future autonomous vehicles will not be viable without a more comprehensive surround sensing, akin to a human driver, as can be provided by 360... Read More about Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery.

Optimising the delivery and pick-up routes for packed water bottles (2018)
Presentation / Conference Contribution
Wang, Q., & Munthe, T. (2018, September). Optimising the delivery and pick-up routes for packed water bottles. Presented at 16th International Conference on Manufacturing Research., Skövde, Sweden

This paper proposes an optimal solution for optimizing the route in delivery and pick-up paths from the manufacturer (depot) to the customers using packed water bottles as the case study. The model of packed water bottles' traveling routes with simul... Read More about Optimising the delivery and pick-up routes for packed water bottles.