Outputs (1071)

Identifying Potential Sources of Data and Metaphors for Learning Analytics and Dashboards (2013)
Presentation / Conference
de Quincey, E., & Stoneham, R. (2013, December). Identifying Potential Sources of Data and Metaphors for Learning Analytics and Dashboards. Presented at apt2013

Retention and the measurement of student engagement are long standing problems within HE (Jones, 2008). A number of studies have investigated how students at risk of failing or withdrawing from University courses can be identified (e.g. Rugg et al.)... Read More about Identifying Potential Sources of Data and Metaphors for Learning Analytics and Dashboards.

Reachability Problems for Hierarchical Piecewise Constant Derivative Systems (2013)
Presentation / Conference Contribution
Bell, P. C., & Chen, S. (2013, September). Reachability Problems for Hierarchical Piecewise Constant Derivative Systems. Presented at Reachability Problems 7th International Workshop, RP 2013, Uppsala, Sweden

In this paper, we investigate the computability and complexity of reachability problems for two-dimensional hierarchical piecewise constant derivative (HPCD) systems. The main interest in HPCDs stems from the fact that their reachability problem is o... Read More about Reachability Problems for Hierarchical Piecewise Constant Derivative Systems.

Improving User Experience via Motion Sensors in an Ambient Intelligence Scenario (2013)
Presentation / Conference Contribution
Lo Re, G., Morana, M., & Ortolani, M. (2013, February). Improving User Experience via Motion Sensors in an Ambient Intelligence Scenario. Presented at International Conference on Pervasive and Embedded Computing and Communication Systems, Barcelona, Spain

Ambient Intelligence (AmI) is a new paradigm in Artificial Intelligence that aims at exploiting the information about the environment state in order to adapt it to the user preferences. AmI systems are usually based on several cheap and unobtrusive s... Read More about Improving User Experience via Motion Sensors in an Ambient Intelligence Scenario.

An hp-fem framework for the simulation of electrostrictive and magnetostrictive materials (2013)
Journal Article
Jin, D., Ledger, P., & Gil, A. (2014). An hp-fem framework for the simulation of electrostrictive and magnetostrictive materials. Computers and Structures, 133, 131-148. https://doi.org/10.1016/j.compstruc.2013.10.009

The physical understanding of coupled electro-magneto-mechanics has long been a topic of particular importance for scientists. However, it is only in more recent times that the computational mechanics community has been involved, due to the particula... Read More about An hp-fem framework for the simulation of electrostrictive and magnetostrictive materials.

On evaluation of a multiscale-based CT image analysis and visualisation algorithm (2013)
Presentation / Conference Contribution
Lam, K., Collins, D., Sule-Suso, J., Bhana, R., & Moloney, A. (2013, December). On evaluation of a multiscale-based CT image analysis and visualisation algorithm. Presented at International Conference on BioMedical Engineering and Informatics (BMEI)

Development of computed tomography (CT) protocols that minimise radiation dose for specific clinical treatments continues to be a major research focus. Building on the success of an earlier collaborative case study concerning prostate cancer diagnosi... Read More about On evaluation of a multiscale-based CT image analysis and visualisation algorithm.

A Theoretical Framework for Stigmergetic Reconstruction of Ancient Text (2013)
Book Chapter
Ch′ng, E., Lewis, A., Gehlken, E., & Woolley, S. I. (2013). A Theoretical Framework for Stigmergetic Reconstruction of Ancient Text. In Visual Heritage in the Digital Age. Springer. https://doi.org/10.1007/978-1-4471-5535-5_4

Cuneiform script, an intellectual breakthrough 5,000 years ago, made recording information possible. Cuneiform is mankind’s first ever script, recorded and communicated using clay tablets for thousands of years across the entirety of the Ancient Near... Read More about A Theoretical Framework for Stigmergetic Reconstruction of Ancient Text.

A computational approach to quantifying axon regeneration in the presence of mesenchymal stem cells (MSCs) (2013)
Presentation / Conference Contribution
Lam, K. P., Dempsy, K. P., Smith, W. A., Wright, K. T., Masri, W. E., & Richardson, J. B. (2013, November). A computational approach to quantifying axon regeneration in the presence of mesenchymal stem cells (MSCs). Presented at 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), San Diego, CA, USA

Transplantation of bone marrow stromal cells has shown to encourage functional recovery in animal models of spinal cord injury (SCI) and recent clinical trials suggest possible recovery also in humans. However, two fundamental barriers to the develop... Read More about A computational approach to quantifying axon regeneration in the presence of mesenchymal stem cells (MSCs).

Cellular M2M Network Access Congestion: Performance Analysis and Solutions (2013)
Presentation / Conference Contribution
Cao, F., & Fan, Z. (2013, October). Cellular M2M Network Access Congestion: Performance Analysis and Solutions. Paper presented at 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Lyon, France

Machine to machine (M2M) communication is the direct communication between devices without human involvements. Recently M2M services in cellular networks have been promoted by cellular operators for sustainable profits for the next decade. However, M... Read More about Cellular M2M Network Access Congestion: Performance Analysis and Solutions.

Gesture Recognition for Improved User Experience in a Smart Environment (2013)
Presentation / Conference Contribution
Gaglio, S., Lo Re, G., Morana, M., & Ortolani, M. (2013, December). Gesture Recognition for Improved User Experience in a Smart Environment. Presented at XIIIth International Conference of the Italian Association for Artificial Intelligence, Turin, Italy

Ambient Intelligence (AmI) is a new paradigm that specifically aims at exploiting sensory and context information in order to adapt the environment to the user’s preferences; one of its key features is the attempt to consider common devices as an int... Read More about Gesture Recognition for Improved User Experience in a Smart Environment.

Periodic partial soft sensing and spectrum handoff in cognitive relay networks (2013)
Presentation / Conference Contribution
Wang, S., Cao, F., & Fan, Z. (2013, June). Periodic partial soft sensing and spectrum handoff in cognitive relay networks. Presented at 2013 IEEE International Conference on Communications (ICC), Budapest, Hungary

We consider an opportunistic spectrum usage model facilitated with periodic spectrum sensing and handoff in a two-hop selective relay network. A novel sensing and fusion algorithm is proposed under a signalling bandwidth-constrained condition by intr... Read More about Periodic partial soft sensing and spectrum handoff in cognitive relay networks.