Skip to main content

Research Repository

Advanced Search

All Outputs (80)

A Virtual 3D Cuneiform Tablet Reconstruction Interaction (2017)
Presentation / Conference Contribution
Hanes, L., Lewis, A., Nash, D., Gehlken, E., Hernandez-Munoz, L., Ch’ng, E., Woolley, S. I., & Collins, T. (2018, July). A Virtual 3D Cuneiform Tablet Reconstruction Interaction. Presented at 32nd Human Computer Interaction Conference, Belfast, Northern Ireland

Novel similarity measure for interval-valued data based on overlapping ratio (2017)
Presentation / Conference Contribution
Kabir, S., Wagner, C., Havens, T. C., Anderson, D. T., & Aickelin, U. (2017, July). Novel similarity measure for interval-valued data based on overlapping ratio. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy

In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs... Read More about Novel similarity measure for interval-valued data based on overlapping ratio.

Searching the Past in the Future ? Joining Cuneiform Tablet Fragments in Virtual Collections (2017)
Presentation / Conference Contribution
Gehlken, E., Collins, T., Woolley, S. I., & Ch’ng, E. (2017, July). Searching the Past in the Future ? Joining Cuneiform Tablet Fragments in Virtual Collections. Paper presented at 63rd Rencontre Assyriologique Internationale, Philipps-Universität Marburg, Germany

Joining cuneiform tablet fragments are separated within and between collections worldwide. In previous work of the Virtual Cuneiform Tablet Reconstruction Project [VCTR, 2018], automated joins were achieved for virtual 3D Ur and Uruk fragments held w... Read More about Searching the Past in the Future ? Joining Cuneiform Tablet Fragments in Virtual Collections.

Gyro-elastic beams for the vibration reduction of long flexural system (2017)
Journal Article
Carta, G., Jones, I., Movchan, N., Movchan, A., & Nieves, M. (2017). Gyro-elastic beams for the vibration reduction of long flexural system. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 473(2203), https://doi.org/10.1098/rspa.2017.0136

The paper presents a model of a chiral multi-structure incorporating gyro-elastic beams. Floquet–Bloch waves in periodic chiral systems are investigated in detail, with the emphasis on localization and the formation of standing waves. It is found tha... Read More about Gyro-elastic beams for the vibration reduction of long flexural system.

A linearisedhp-finite element framework for acousto-magneto-mechanical coupling in axisymmetric MRI scanners: ACOUSTO-MAGNETO-MECHANICAL COUPLING IN MRI SCANNERS (2017)
Journal Article
Bagwell, S., Ledger, P. D., Gil, A. J., Mallett, M., & Kruip, M. (2017). A linearisedhp-finite element framework for acousto-magneto-mechanical coupling in axisymmetric MRI scanners: ACOUSTO-MAGNETO-MECHANICAL COUPLING IN MRI SCANNERS. International Journal for Numerical Methods in Engineering, 112(10), 1323-1352. https://doi.org/10.1002/nme.5559

We propose a new computational framework for the treatment of acousto-magneto-mechanical coupling that arises in low-frequency electro-magneto-mechanical systems such as magnetic resonance imaging scanners. Our transient Newton–Raphson strategy invol... Read More about A linearisedhp-finite element framework for acousto-magneto-mechanical coupling in axisymmetric MRI scanners: ACOUSTO-MAGNETO-MECHANICAL COUPLING IN MRI SCANNERS.

A nonlocal asymptotic theory for thin elastic plates (2017)
Journal Article
Kaplunov. (2017). A nonlocal asymptotic theory for thin elastic plates. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, https://doi.org/10.1098/rspa.2017.0249

The three-dimensional dynamic non-local elasticity equations for a thin plate are subject to asymptotic analysis assuming the plate thickness to be much greater than a typical microscale size. The integral constitutive relations, incorporating the va... Read More about A nonlocal asymptotic theory for thin elastic plates.

A Collaborative Artefact Reconstruction Environment (2017)
Presentation / Conference Contribution
Woolley, S. I., Ch’ng, E., Hernandez-Munoz, L., Gehlken, E., Collins, T., Nash, D., Lewis, A., & Hanes, L. (2017, July). A Collaborative Artefact Reconstruction Environment. Presented at 31st International BCS Human Computer Interaction Conference (HCI)

A novel collaborative artefact reconstruction environment design is presented that is informed by experimental task observation and participatory design. The motivation for the design was to enable collaborative human and computer effort in the recon... Read More about A Collaborative Artefact Reconstruction Environment.

Localized bulging of rotating elastic cylinders and tubes (2017)
Journal Article
(2017). Localized bulging of rotating elastic cylinders and tubes. Journal of Mechanics of Materials and Structures, 545-561. https://doi.org/10.2140/jomms.2017.12.545

We investigate axially symmetric localized bulging of an incompressible hyperelastic circular solid cylinder or tube that is rotating about its axis of symmetry with angular velocity ?. For such a solid cylinder, the homogeneous primary deformation i... Read More about Localized bulging of rotating elastic cylinders and tubes.

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.

Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning (2017)
Presentation / Conference Contribution
Zheng, Y., Williams, B. M., Pratt, H., Al-Bander, B., Wu, X., & Zhao, Y. (2017, May). Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning

Purpose : Three-dimensional (3D) optical coherence tomography (OCT) images are increasingly used in the management of eye disease, yet there has been no corresponding increase in the availability of software tools to support the analysis of large amo... Read More about Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning.

Localized Bulging Of Rotating Elastic Cylinders And Tubes (2017)
Journal Article
Fu, Y. (2017). Localized Bulging Of Rotating Elastic Cylinders And Tubes. Journal of Mechanics of Materials and Structures, 545 - 561. https://doi.org/10.2140/jomms.2017.12.545

We investigate axially symmetric localized bulging of an incompressible hyperelastic circular solid cylinder or tube that is rotating about its axis of symmetry with angular velocity ?. For such a solid cylinder, the homogeneous primary deformation i... Read More about Localized Bulging Of Rotating Elastic Cylinders And Tubes.

Modelling slight compressibility for hyperelastic anisotropic materials (2017)
Journal Article
(2017). Modelling slight compressibility for hyperelastic anisotropic materials. Journal of Elasticity, 171-181. https://doi.org/10.1007/s10659-017-9650-5

In order to avoid the numerical difficulties in locally enforcing the incompressibility constraint using the displacement formulation of the Finite Element Method, slight compressibility is typically assumed when simulating the mechanical response of... Read More about Modelling slight compressibility for hyperelastic anisotropic materials.

A standard-enabled workflow for synthetic biology. (2017)
Journal Article
Mısırlı, G., Nguyen, T., Oberortner, E., Samineni, M., Wipat, A., Zhang, M., Zundel, Z., Madsen, C., McLaughlin, J., Myers, C., Beal, J., Gorochowski, T., & Kuwahara, H. (2017). A standard-enabled workflow for synthetic biology. Transactions, 793 - 803. https://doi.org/10.1042/BST20160347

A synthetic biology workflow is composed of data repositories that provide information about genetic parts, sequence-level design tools to compose these parts into circuits, visualization tools to depict these designs, genetic design tools to select... Read More about A standard-enabled workflow for synthetic biology..

Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies (2017)
Book Chapter
(2017). Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies. In EASE '17: Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE'17) (128-133). https://doi.org/10.1145/3084226.3084283

Background:: Statistical validity and model complexity are both important concepts to enhanced understanding and correctness assessment of computational models. However, information about these are often missing from publications applying machine lea... Read More about Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies.

Constructing Synthetic Biology Workflows in the Cloud (2017)
Journal Article
Misirli. (2017). Constructing Synthetic Biology Workflows in the Cloud. Engineering Biology, 61-65. https://doi.org/10.1049/enb.2017.0001

The synthetic biology design process has traditionally been heavily dependent upon manual searching, acquisition and integration of existing biological data. A large amount of such data is already available from Internet-based resources, but data exc... Read More about Constructing Synthetic Biology Workflows in the Cloud.

Automatic Feature Learning Method for Detection of Retinal Landmarks (2017)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Al-Ataby, A., & Zheng, Y. (2016, August). Automatic Feature Learning Method for Detection of Retinal Landmarks. Presented at 2016 9th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, United Kingdom

This paper presents an automatic deep learning method for location detection of important retinal landmarks, the fovea and optic disc (OD) in digital fundus retinal images with the potential for use in an automated screening and grading system. The p... Read More about Automatic Feature Learning Method for Detection of Retinal Landmarks.

Visual Augmentation Glasses for People with Impaired Vision (2017)
Presentation / Conference Contribution
Al-Ataby, A., Younis, O., Al-Nuaimy, W., Al-Taee, M., Sharaf, Z., & Al-Bander, B. (2016, August). Visual Augmentation Glasses for People with Impaired Vision. Presented at 2016 9th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, United Kingdom

This paper presents the preliminary design and development of a set visual augmentation glasses with the potential to assist people with varying degrees of loss of vision. The wearable spectacles are intended to be non-obstructive, and therefore empl... Read More about Visual Augmentation Glasses for People with Impaired Vision.

Stable Clustering for Ad-Hoc Vehicle Networking (2017)
Presentation / Conference Contribution
Rossi, G., Fan, Z., Chin, W., & Leung, K. (2017, March). Stable Clustering for Ad-Hoc Vehicle Networking. Presented at IEEE Wireless Communications and Networking Conference, San Francisco, CA, USA

Vehicular ad-hoc networks (VANETs) that enable communication among vehicles and between vehicles and un- manned aerial vehicles (UAVs) and cellular base stations have re- cently attracted significant interest from the research community, due to the w... Read More about Stable Clustering for Ad-Hoc Vehicle Networking.