Characterisation of metallic powder impregnated pastes using polychromatic X-radiography

Austin, J C; Day, C R; Kearon, A T; Valussi, S; Haycock, P W

doi:10.1784/insi.2008.50.10.550

Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks (2022)
Journal Article
Wootton, A. J., Day, C., & Haycock, P. W. (2022). Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks. Structural Health Monitoring, 21(6), 2910-2921. https://doi.org/10.1177/14759217221080718

The degradation of roads is an expensive problem: in the UK alone, £27 billion was spent on road repairs between 2013 and 2019. One potential cost-saver is the early, non-destructive detection of faults. There are many available techniques, each with... Read More about Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks.

Digital Twin: Enabling Technologies, Challenges and Open Research (2020)
Journal Article
Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital Twin: Enabling Technologies, Challenges and Open Research. IEEE Access, 108952 - 108971. https://doi.org/10.1109/ACCESS.2020.2998358

Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry... Read More about Digital Twin: Enabling Technologies, Challenges and Open Research.

Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species (2017)
Journal Article
Moore, H. E., Butcher, J. B., Day, C. R., & Drijfhout, F. P. (2017). Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species. Forensic Science International, 280, Article 233-244. https://doi.org/10.1016/j.forsciint.2017.10.001

Blowflies (Diptera: Calliphoridae) are forensically important as they are known to be one of the first to colonise human remains. The larval stage is typically used to assist a forensic entomologists with adult flies rarely used as they are difficult... Read More about Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species.

Structural Health Monitoring of a Footbridge using Echo State Networks and NARMAX (2017)
Journal Article
Wootton, A. J., Butcher, J. B., Kyriacou, T., Day, C. R., & Haycock, P. W. (2017). Structural Health Monitoring of a Footbridge using Echo State Networks and NARMAX. Engineering Applications of Artificial Intelligence, 64, 152-163. https://doi.org/10.1016/j.engappai.2017.05.014

Echo State Networks (ESNs) and a Nonlinear Auto-Regressive Moving Average model with eXogenous inputs (NARMAX) have been applied to multi-sensor time-series data arising from a test footbridge which has been subjected to multiple potentially damaging... Read More about Structural Health Monitoring of a Footbridge using Echo State Networks and NARMAX.

Optimizing Echo State Networks for Static Pattern Recognition (2017)
Journal Article
Wooton, A. J., Taylor, S. L., Day, C., & Haycock, P. W. (2017). Optimizing Echo State Networks for Static Pattern Recognition. Cognitive Computation, 391-399. https://doi.org/10.1007/s12559-017-9468-2

Static pattern recognition requires a machine to classify an object on the basis of a combination of attributes and is typically performed using machine learning techniques such as support vector machines and multilayer perceptrons. Unusually, in thi... Read More about Optimizing Echo State Networks for Static Pattern Recognition.

Defect detection in reinforced concrete using random neural architectures (2013)
Journal Article
Butcher, J., Day, C., Austin, J., Haycock, P., Verstraeten, D., & Schrauwen, B. (2014). Defect detection in reinforced concrete using random neural architectures. Computer-Aided Civil and Infrastructure Engineering, 29(3), 191-207. https://doi.org/10.1111/mice.12039

Detecting defects within reinforced concrete is vital to the safety and durability of our built infrastructure upon which we heavily rely. In this work a non-invasive technique, ElectroMagnetic Anomaly Detection (EMAD), is used which provides informa... Read More about Defect detection in reinforced concrete using random neural architectures.

Comparison method to differentiate between painted objects using polychromatic X-rays (2010)
Journal Article
Austin, J. C., Day, C. R., Kearon, A. T., Evans, D. L., & Haycock, P. W. (2010). Comparison method to differentiate between painted objects using polychromatic X-rays. Insight - Non-Destructive Testing & Condition Monitoring, 52(3), 140-143. https://doi.org/10.1784/insi.2010.52.3.140

X-radiography using the bremsstrahlung of a commercial broad spectrum X-ray source was used to quantify the differences and relationships between complex samples of unknown composition. The samples examined were painted and glazed ceramic mugs. The r... Read More about Comparison method to differentiate between painted objects using polychromatic X-rays.

Single element mapping in radiography (2009)
Journal Article
Austin, J. C., Day, C. R., Kearon, A. T., & Haycock, P. W. (2009). Single element mapping in radiography. X-Ray Spectrometry, 38(6), 492-504. https://doi.org/10.1002/xrs.1204

This article reports on the application of element-specific mapping using the Bremsstrahlung of a commercial broad spectrum X-ray source to map lighter elements (zirconium to tin) and heavier elements (tantalum to bismuth) individually within an imag... Read More about Single element mapping in radiography.

Element-specific determination of X-ray transmission signatures using neural networks (2009)
Journal Article
Day, C. R., Austin, J. C., Butcher, J. B., Haycock, P. W., & Kearon, A. T. (2009). Element-specific determination of X-ray transmission signatures using neural networks. NDT and E International, 42(5), 446-451. https://doi.org/10.1016/j.ndteint.2009.02.005

In this article, we report on the application of neural networks to the problem of making an element-specific determination of unknown metal targets based on the characteristics of their transmitted X-ray signatures. Our method was applied to two gro... Read More about Element-specific determination of X-ray transmission signatures using neural networks.

Using polychromatic X-radiography to examine realistic imitation firearms (2008)
Journal Article
Austin, J., Day, C., Kearon, A., Valussi, S., & Haycock, P. (2008). Using polychromatic X-radiography to examine realistic imitation firearms. Forensic Science International, 191(1-3), 26-31. https://doi.org/10.1016/j.forsciint.2008.08.007

Sections 36–41 of the Violent Crimes Reduction Act (2006), which came into force in England and Wales on 1st October 2007, have placed significant restrictions on the sale and possession of ‘realistic imitation firearms’. This legislation attempts to... Read More about Using polychromatic X-radiography to examine realistic imitation firearms.

Characterisation of metallic powder impregnated pastes using polychromatic X-radiography (2008)
Journal Article
Austin, J. C., Day, C. R., Kearon, A. T., Valussi, S., & Haycock, P. W. (2008). Characterisation of metallic powder impregnated pastes using polychromatic X-radiography. Insight - Non-Destructive Testing & Condition Monitoring, 50(10), 550-553. https://doi.org/10.1784/insi.2008.50.10.550

This article reports on the employment of X-radiography using the bremsstrahlung of a commercial broad-spectrum X-ray source to quantify the differences and relationships between complex materials of unknown composition. The materials examined were m... Read More about Characterisation of metallic powder impregnated pastes using polychromatic X-radiography.

All Outputs (11)