Outputs (243)

Evolution of Electronic Circuits using Carbon Nanotube Composites (2016)
Journal Article
Massey, M., Kotsialos, A., Volpati, D., Vissol-Gaudin, E., Pearson, C., Bowen, L., …Petty, M. (2016). Evolution of Electronic Circuits using Carbon Nanotube Composites. Scientific Reports, 6, Article 32197. https://doi.org/10.1038/srep32197

Evolution-in-materio concerns the computer controlled manipulation of material systems using external stimuli to train or evolve the material to perform a useful function. In this paper we demonstrate the evolution of a disordered composite material,... Read More about Evolution of Electronic Circuits using Carbon Nanotube Composites.

Spatial characterization for high speed railway channels based on moving virtual array measurement scheme (2016)
Journal Article
Zhou, T., Tao, C., Salous, S., & Liu, L. (2017). Spatial characterization for high speed railway channels based on moving virtual array measurement scheme. IEEE Antennas and Wireless Propagation Letters, 16, 1423-1426. https://doi.org/10.1109/lawp.2016.2602402

In this letter, spatial channel characterization in high-speed railway (HSR) scenarios is investigated using a moving virtual array measurement approach. Based on the wideband single-antenna measurements conducted on high-speed railway (HSR) in China... Read More about Spatial characterization for high speed railway channels based on moving virtual array measurement scheme.

Investigating the implications of a new-build hybrid power system for Roll-on/Roll-off cargo ships from a sustainability perspective – A life cycle assessment case study (2016)
Journal Article
Ling-Chin, J., & Roskilly, A. P. (2016). Investigating the implications of a new-build hybrid power system for Roll-on/Roll-off cargo ships from a sustainability perspective – A life cycle assessment case study. Applied Energy, 181, 416-434. https://doi.org/10.1016/j.apenergy.2016.08.065

Marine transport has been essential for international trade. Concern for its environmental impact was growing among regulators, classification societies, ship operators, ship owners, and other stakeholders. By applying life cycle assessment, this art... Read More about Investigating the implications of a new-build hybrid power system for Roll-on/Roll-off cargo ships from a sustainability perspective – A life cycle assessment case study.

Ant colony optimisation model for vehicle routing problem with simultaneous pickup and delivery (2016)
Presentation / Conference Contribution
Scanlon, R., Wang, Q., & Wang, J. (2016, August). Ant colony optimisation model for vehicle routing problem with simultaneous pickup and delivery. Presented at ASME 2016 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Charlotte, NC, USA

Reverse logistics is an area that has come under increased scrutiny in recent years as legislators and companies try to increase the amount of goods that businesses reuse and recycle. The vehicle routing problem with simultaneous pickup and delivery... Read More about Ant colony optimisation model for vehicle routing problem with simultaneous pickup and delivery.

Continuously unique anisotropic Critical State hyperplasticity (2016)
Journal Article
Coombs, W. (2017). Continuously unique anisotropic Critical State hyperplasticity. International Journal for Numerical and Analytical Methods in Geomechanics, 41(4), 578-601. https://doi.org/10.1002/nag.2571

This paper presents the theoretical development and methodological motivation of a single surface anisotropic hyperplasticity model. The model extends the isotropic family of models developed by Coombs and Crouch by: (i) introducing anisotropic shear... Read More about Continuously unique anisotropic Critical State hyperplasticity.

Constant-time Bilateral Filter using Spectral Decomposition (2016)
Presentation / Conference Contribution
Sugimoto, K., Breckon, T., & Kamata, S. (2016, September). Constant-time Bilateral Filter using Spectral Decomposition. Presented at 2016 IEEE International Conference on Image Processing (ICIP)., Phoenix, AZ, USA

This paper presents an efficient constant-time bilateral filter where constant-time means that computational complexity is independent of filter window size. Many state-of-the-art constant-time methods approximate the original bilateral filter by an... Read More about Constant-time Bilateral Filter using Spectral Decomposition.

Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery (2016)
Presentation / Conference Contribution
Akcay, S., Kundegorski, M., Devereux, M., & Breckon, T. (2016, September). Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery. Presented at 2016 IEEE International Conference on Image Processing., Phoenix, AZ, USA

We consider the use of transfer learning, via the use of deep Convolutional Neural Networks (CNN) for the image classification problem posed within the context of X-ray baggage security screening. The use of a deep multi-layer CNN approach, tradition... Read More about Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery.

Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow (2016)
Presentation / Conference Contribution
Hamilton, O., & Breckon, T. (2016, September). Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow. Presented at 2016 IEEE International Conference on Image Processing., Phoenix, AZ, USA

Mapping an ever changing urban environment is a challenging task as we are generally interested in mapping the static scene and not the dynamic objects, such as cars and people. We propose a novel approach to the problem of dynamic object removal wit... Read More about Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow.

Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications (2016)
Presentation / Conference Contribution
Katramados, I., & Breckon, T. (2016, September). Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications. Presented at 2016 IEEE International Conference on Image Processing., Phoenix, AZ, USA

We propose a computationally efficient approach for the extraction of dense gradient-based features based on the use of localized intensity-weighted centroids within the image. Whilst prior work concentrates on sparse feature derivations or computati... Read More about Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications.

Reliability and condition monitoring (2016)
Book Chapter
Zappalá, D., Crabtree, C., & Tavner, P. (2016). Reliability and condition monitoring. In S. Hogg, & C. Crabtree (Eds.), UK Wind Energy Technologies (76-136). Routledge