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All Outputs (251)

Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer (2018)
Presentation / Conference Contribution
Atapour-Abarghouei, A., & Breckon, T. (2018, June). Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer. Presented at 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)., Salt Lake City, Utah, USA

Monocular depth estimation using learning-based approaches has become promising in recent years. However, most monocular depth estimators either need to rely on large quantities of ground truth depth data, which is extremely expensive and difficult t... Read More about Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer.

Characteristics of Negative Corona Discharge in Air at Various Gaps (2018)
Journal Article
Sun, H., Huang, S., Wang, Q., Wang, S., & Zhao, W. (2018). Characteristics of Negative Corona Discharge in Air at Various Gaps. IEEE Transactions on Plasma Science, 47(14), 736-741. https://doi.org/10.1109/tps.2018.2884696

The length of the air gap in a negative corona discharge, which affects many corresponding parameters in the discharge process, is of vital importance for the physical investigations. A hydrodynamic drift–diffusion approximation model considering pho... Read More about Characteristics of Negative Corona Discharge in Air at Various Gaps.

PDMS-Embedded Conductive Fabric: A Simple Solution for Fabricating PDMS-Based Wearable Antennas with Robust Performance (2018)
Presentation / Conference Contribution
Simorangkir, R. B. B., Feng, S., Sadat Sayem, A., Esselle, K. P., & Yang, Y. (2018, March). PDMS-Embedded Conductive Fabric: A Simple Solution for Fabricating PDMS-Based Wearable Antennas with Robust Performance. Presented at 2018 12th International Symposium on Medical Information and Communication Technology (ISMICT), Sydney, NSW

A high-order elliptic PDE based level set reinitialisation method using a discontinuous Galerkin discretisation (2018)
Journal Article
Adams, T., Giani, S., & Coombs, W. (2019). A high-order elliptic PDE based level set reinitialisation method using a discontinuous Galerkin discretisation. Journal of Computational Physics, 379, 373-391. https://doi.org/10.1016/j.jcp.2018.12.003

In this paper, an efficient, high-order accurate, level set reinitialisation method is proposed, based on the elliptic reinitialisation method (Basting and Kuzmin, 2013 [1]), which is discretised spatially using the discontinuous Galerkin (DG) symmet... Read More about A high-order elliptic PDE based level set reinitialisation method using a discontinuous Galerkin discretisation.

Constrained optimization of a meander line EMAT generating S0 mode Lamb waves with genetic algorithms (2018)
Journal Article
Wang, S., Huang, S., Wang, Q., Wang, Z., & Zhao, W. (2018). Constrained optimization of a meander line EMAT generating S0 mode Lamb waves with genetic algorithms. International Journal of Applied Electromagnetics and Mechanics, 58(4), 411-429. https://doi.org/10.3233/jae-180086

In this work a multiphysics model of a meander line electromagnetic acoustic transducer (EMAT) to generate S0 mode Lamb waves in an aluminum plate is built and the structural parameters of the transducer are optimized based on the model. Three approa... Read More about Constrained optimization of a meander line EMAT generating S0 mode Lamb waves with genetic algorithms.

Comparison of Typical PV Module Performances Based on the Circuit Models (2018)
Presentation / Conference Contribution
Tutkun, N., Gegin, K., Sarma, N., & Salam, Z. (2018, December). Comparison of Typical PV Module Performances Based on the Circuit Models. Presented at 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kota Kinabalu, Malaysia

Modeling of a Typical Photovoltaic Module using Matlab/Simulink (2018)
Presentation / Conference Contribution
Sarma, N., Gegin, K., Simsir, M., & Tutkun, N. (2018, December). Modeling of a Typical Photovoltaic Module using Matlab/Simulink. Presented at 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

Telemedicine via Satellite: Improving Access to Healthcare for Remote Rural Communities in Africa (2018)
Presentation / Conference Contribution
Bisu, A. A., Gallant, A., Sun, H., Brigham, K., & Purvis, A. (2018, December). Telemedicine via Satellite: Improving Access to Healthcare for Remote Rural Communities in Africa. Presented at IEEE Region 10 Humanitarian Technology Conference 2018 (HTC’18), Colombo, Sri Lanka

In this paper, realistic telemedicine implementation scenarios with architecture are proposed to help in extending quality healthcare using satellite and integrated satellite-terrestrial networks (ISTNs). Telemedicine is the use of telecommunications... Read More about Telemedicine via Satellite: Improving Access to Healthcare for Remote Rural Communities in Africa.

Improper Gaussian Signaling for Hardware Impaired Multihop Full-Duplex Relaying Systems (2018)
Journal Article
Javed, S., Amin, O., Shihada, B., & Alouini, M.-S. (2019). Improper Gaussian Signaling for Hardware Impaired Multihop Full-Duplex Relaying Systems. IEEE Transactions on Communications, 67(3), 1858-1871. https://doi.org/10.1109/tcomm.2018.2884986

In this paper, we analyze the performance degradation of a multi-hop decode-and-forward full-duplex relaying system caused by the residual self-interference (RSI) and hardware distortions (HWD) imposed by the FDR operation and imperfect hardware, res... Read More about Improper Gaussian Signaling for Hardware Impaired Multihop Full-Duplex Relaying Systems.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training (2018)
Presentation / Conference Contribution
Akcay, S., Atapour-Abarghouei, A., & Breckon, T. P. (2018, December). GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training. Presented at 14th Asian Conference on Computer Vision (ACCV)., Perth, Australia

Anomaly detection is a classical problem in computer vision, namely the determination of the normal from the abnormal when datasets are highly biased towards one class (normal) due to the insufficient sample size of the other class (abnormal). While... Read More about GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training.

Diffusion on the ground: Rethinking the logic of scale and access in off-grid solar in Sri Lanka (2018)
Journal Article
Turner, B. (2018). Diffusion on the ground: Rethinking the logic of scale and access in off-grid solar in Sri Lanka. Energy Research and Social Science, 50, 1-6. https://doi.org/10.1016/j.erss.2018.11.005

Off-grid solar photovoltaics have come to play a leading role in the current challenge of achieving the 7th Sustainable Development Goal of access to modern energy for all by 2030. In this context, the goal of achieving scale and accelerating growth... Read More about Diffusion on the ground: Rethinking the logic of scale and access in off-grid solar in Sri Lanka.

Performance study of solar photovoltaic-thermal collector for domestic hot water use and thermochemical sorption seasonal storage (2018)
Journal Article
Thinsurat, K., Bao, H., Ma, Z., & Roskilly, A. P. (2019). Performance study of solar photovoltaic-thermal collector for domestic hot water use and thermochemical sorption seasonal storage. Energy Conversion and Management, 180, 1068-1084. https://doi.org/10.1016/j.enconman.2018.11.049

To maximise the utilisation of solar energy and improve the solar fraction for domestic applications, this paper explored the potential of the hybrid solar Photovoltaic/Thermal (PV/T) collector integrated with a thermochemical sorption thermal storag... Read More about Performance study of solar photovoltaic-thermal collector for domestic hot water use and thermochemical sorption seasonal storage.

B-spline based boundary conditions in the material point method (2018)
Journal Article
Bing, Y., Cortis, M., Charlton, T., Coombs, W., & Augarde, C. (2019). B-spline based boundary conditions in the material point method. Computers and Structures, 212, 257-274. https://doi.org/10.1016/j.compstruc.2018.11.003

The material point method is an increasingly popular method for tackling solid mechanics problems involving large deformations. However, there are issues associated with applying boundary conditions in the method and, to date, no general approach for... Read More about B-spline based boundary conditions in the material point method.

An incremental deformation model of arterial dissection (2018)
Journal Article
Li, B., Roper, S. M., Wang, L., Luo, X., & Hill, N. (2019). An incremental deformation model of arterial dissection. Journal of Mathematical Biology, 78(5), 1277-1298. https://doi.org/10.1007/s00285-018-1309-8

We develop a mathematical model for a small axisymmetric tear in a residually stressed and axially pre-stretched cylindrical tube. The residual stress is modelled by an opening angle when the load-free tube is sliced along a generator. This has appli... Read More about An incremental deformation model of arterial dissection.

A Transparent Strain Sensor Based on PDMS-Embedded Conductive Fabric for Wearable Sensing Applications (2018)
Journal Article
Nag, A., Simorangkir, R. B. V. B., Valentin, E., Bjorninen, T., Ukkonen, L., Hashmi, R. M., & Mukhopadhyay, S. C. (2018). A Transparent Strain Sensor Based on PDMS-Embedded Conductive Fabric for Wearable Sensing Applications. IEEE Access, 6, 71020-71027. https://doi.org/10.1109/access.2018.2881463

In this paper, we present a new approach to realize flexible transparent strain sensors. It combines the use of transparent conductive fabric with polydimethylsiloxane (PDMS) through a simple and straightforward layer-by-layer assembly process. The c... Read More about A Transparent Strain Sensor Based on PDMS-Embedded Conductive Fabric for Wearable Sensing Applications.