Assessing the Relative Importance of an E-learning system Usability Design Characteristics Based on Students' Preferences
Rutter, M. J., Smith, S., & Alshehri, A. (2019)
Assessing the Relative Importance of an E-learning system Usability Design Characteristics Based on Students' Preferences. European Journal of Educational Research, 8(3), 839-855. https://doi.org/10.12973/eu-jer.8.3.839
This study considers the interaction between an e-learning system, the Blackboard system, and the students who use it in Saudi Arabia. While previous work exists, there is lim...
Deep Precomputed Radiance Transfer for Deformable Objects
Li, Y., Wiedemann, P., & Mitchell, K. (2019)
Deep Precomputed Radiance Transfer for Deformable Objects. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2(1), 1-16. https://doi.org/10.1145/3320284
We propose, DeepPRT, a deep convolutional neural network to compactly encapsulate the radiance transfer of a freely deformable object for rasterization in real-time.
Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments
Verweij, D., Esteves, A., Bakker, S., & Khan, V. (2019)
Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments. In TEI '19 Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction, (645-656). https://doi.org/10.1145/3294109.3295628
Amongst the variety of (multi-modal) interaction techniques that are being developed and explored, the Motion Matching paradigm provides a novel approach to selection and cont...
Wattom: a Consumption and Grid Aware Smart Plug with Mid-air Controls
Quintal, F., Esteves, A., Caires, F., Baptiste, V., & Mendes, P. (2019)
Wattom: a Consumption and Grid Aware Smart Plug with Mid-air Controls. In TEI '19 Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction, (307-313). https://doi.org/10.1145/3294109.3295642
This paper presents Wattom, a highly interactive ambient eco-feedback smart plug that aims to support a more sustainable use of electricity by being tightly coupled to users' ...
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier
Hall, A. J., Pitropakis, N., Buchanan, W. J., & Moradpoor, N. (2019)
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. In 2018 IEEE International Conference on Big Data (Big Data)https://doi.org/10.1109/BigData.2018.8621922
Insider threats continue to present a major challenge for the information security community. Despite constant research taking place in this area; a substantial gap still exis...
An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment
Jin, D., Liu, Q., Liu, X., & Linge, N. (2019)
An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment. Journal of Computers, 30(3), 130-142. https://doi.org/10.3966/199115992019063003010
Hadoop is a famous parallel computing framework that is applied to process large-scale data, but there exists such a task in hadoop framework, which is called “Straggling task...
Eidolon360 – A VR Experience
Hood, B., & Flint, T. (2018)
Eidolon360 – A VR Experience. In Proceedings of xCoAx 2018
Eidolon360 is a virtual reality artwork and experience that is interacted with through VR headsets. The viewer, reclining on a bed within the exhibition space, experiences a 3...
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2019)
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. In CITT 2018. , (91-103). https://doi.org/10.1007/978-3-030-05532-5_7
Critical infrastructures such as nuclear plants or water supply systems are mainly managed through electronic control systems. Such systems comprise of a number of elements, s...
Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning
Li, W., Meng, W., Tan, Z., & Xiang, Y. (2019)
Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning. Journal of Network and Computer Applications, 128, 56-63. https://doi.org/10.1016/j.jnca.2018.12.002
Suspicious emails are one big threat for Internet of Things (IoT) security, which aim to induce users to click and then redirect them to a phishing webpage. To protect IoT sys...
Feature-preserving detailed 3D face reconstruction from a single image
Li, Y., Ma, L., Fan, H., & Mitchell, K. (2018)
Feature-preserving detailed 3D face reconstruction from a single image. In CVMP '18 Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Productionhttps://doi.org/10.1145/3278471.3278473
Dense 3D face reconstruction plays a fundamental role in visual media production involving digital actors. We improve upon high fidelity reconstruction from a single 2D photo ...