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Outputs (4095)

Belonging: Blurring the Boundaries (2017)
Journal Article
Meharg, D., Craighill, S., Varey, A., & Cairncross, S. (2017). Belonging: Blurring the Boundaries. Scottish Educational Review, 49(1), 89-103

This paper applies Whitchurch’s (2008) concept of the ‘third space’ to the emergent territory occupied by further education college students as they ‘cross the boundary’ to continue their studies at the university. Findings reveal that these transiti... Read More about Belonging: Blurring the Boundaries.

Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering (2017)
Journal Article
Moon, B., Iglesias-Guitian, J. A., McDonagh, S., & Mitchell, K. (2017). Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering. Computer Graphics Forum, 36(8), 600-612. https://doi.org/10.1111/cgf.13155

We propose a novel pre-filtering method that reduces the noise introduced by depth-of-field and motion blur effects in geometric
buffers (G-buffers) such as texture, normal and depth images. Our pre-filtering uses world positions and their variances... Read More about Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering.

Real-Time Multi-View Facial Capture with Synthetic Training (2017)
Journal Article
Klaudiny, M., McDonagh, S., Bradley, D., Beeler, T., & Mitchell, K. (2017). Real-Time Multi-View Facial Capture with Synthetic Training. Computer Graphics Forum, 36(2), 325-336. https://doi.org/10.1111/cgf.13129

We present a real-time multi-view facial capture system facilitated by synthetic training imagery. Our method is able to achieve high-quality markerless facial performance capture in real-time from multi-view helmet camera data, employing an actor sp... Read More about Real-Time Multi-View Facial Capture with Synthetic Training.

Constructing English Medium indicators in the shipping courses of Taiwan's higher education (2017)
Presentation / Conference Contribution
Tseng, P., Richards, K., & Pilcher, N. (2017, May). Constructing English Medium indicators in the shipping courses of Taiwan's higher education. Paper presented at 9th International Forum on Shipping, Ports and Airports

English is a common language in the global maritime industry and many countries are now moving towards the use of English as a Medium of Instruction (EMI) to deliver their courses. Such a medium increases students’ proficiency in the common language... Read More about Constructing English Medium indicators in the shipping courses of Taiwan's higher education.

5G: What Architecture to Serve Vertical Industries? (2017)
Presentation / Conference Contribution
Thuemmler, C. (2017, May). 5G: What Architecture to Serve Vertical Industries?. Presented at IEEE ICC 2017

The implementation and roll out of 5G technology is progressing at increasing speed and will impact all industrial verticals. Health is globally a very important industry worth between 5 and 20% of GDP. This event is a co-creation event designed to e... Read More about 5G: What Architecture to Serve Vertical Industries?.

5G - What architecture to serve vertical industry (2017)
Presentation / Conference Contribution
Thuemmler, C. (2017, May). 5G - What architecture to serve vertical industry. Presented at IEEE ICC 2017

5G offers the promise to dynamically satisfy a multiplicity of concurrent requirements originating from various business models of vertical industries. The 5G PPP has published a White Paper on 5G empowering vertical industries and has further worked... Read More about 5G - What architecture to serve vertical industry.

Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features (2017)
Journal Article
Jan, S. U., Lee, Y.-D., Shin, J., & Koo, I. (2017). Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features. IEEE Access, 5, 8682-8690. https://doi.org/10.1109/access.2017.2705644

This paper deals with the problem of fault detection and diagnosis in sensors considering erratic, drift, hard-over, spike, and stuck faults. The data set containing samples of the above mentioned fault signals was acquired as follows: normal data si... Read More about Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features.

How WannaCry caused global panic but failed to turn much of a profit (2017)
Newspaper / Magazine
Buchanan, B. (2017). How WannaCry caused global panic but failed to turn much of a profit. https://theconversation.com/how-wannacry-caused-global-panic-but-failed-to-turn-much-of-a-profit-77740

The WannaCry cyber-attack led to panic across the globe, showing just how important it is for organisations to have secure operating systems. This was not even the most sophisticated malware around. Numerous networks could easily cope with it and it... Read More about How WannaCry caused global panic but failed to turn much of a profit.

Visualising the future: surfacing student perspectives on post-graduation prospects using rich pictures (2017)
Journal Article
Berg, T., Bowen, T., Smith, C., & Smith, S. (2017). Visualising the future: surfacing student perspectives on post-graduation prospects using rich pictures. Higher Education Research and Development, 36(7), 1339-1354. https://doi.org/10.1080/07294360.2017.1325855

The gradual commodification of higher education in the context of an increased focus on graduate employability attributes together with evolving labour markets is creating challenges for universities and students alike. For universities, there has be... Read More about Visualising the future: surfacing student perspectives on post-graduation prospects using rich pictures.