Outputs (291)

A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system (2018)
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018). A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. In Proceedings of the IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018). https://doi.org/10.1109/CyberSecPODS.2018.8560683

Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development over time have improved their components including operating system platforms... Read More about A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system.

Graduate apprenticeships are great opportunities for individuals, but are they inclusive? (2018)
Presentation / Conference
Taylor-Smith, E., Smith, S., & Varey, A. (2018, December). Graduate apprenticeships are great opportunities for individuals, but are they inclusive?. Paper presented at Society for Research into Higher Education (SRHE) Annual Conference, Newport, Wales

Higher education-level apprenticeships can provide routes to university degrees for people without the financial resources for traditional degrees. In Scotland, the first cohorts of graduate apprentices began their studies in 2017, including cohorts... Read More about Graduate apprenticeships are great opportunities for individuals, but are they inclusive?.

"We're coming from different worlds" : exploring student identity during transition (2018)
Conference Proceeding
Meharg, D., Varey, A., & Cairncross, S. (2018). "We're coming from different worlds" : exploring student identity during transition. In SRHE Newer and Early Career Conference 2018 Proceedings

This study presents empirical work examining the student journey from further to higher education in computing degrees in Scotland and seeks to understand the complex formation of identity, from the student perspective, during transition. In Scotlan... Read More about "We're coming from different worlds" : exploring student identity during transition.

Enhancing learning confidence for direct entry computing students (2018)
Presentation / Conference
Fabian, K., Taylor-Smith, E., Meharg, D., & Varey, A. (2018, December). Enhancing learning confidence for direct entry computing students. Paper presented at The Changing Shape of Higher Education: Can excellence and inclusion cohabit?, Newport, UK

Previous studies have shown that students who transfer into university from college (direct entrants) face several challenges when they enter university. In response, the Associate Student Project supports students who enter university directly into... Read More about Enhancing learning confidence for direct entry computing students.

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems (2018)
Journal Article
Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., …Wells, S. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE technology & society magazine, 37(4), 76-83. https://doi.org/10.1109/MTS.2018.2876107

Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha... Read More about Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.

ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept (2018)
Journal Article
Kostopoulos, G., Neureiter, K., Papatoiu, D., Tscheligi, M., & Chrysoulas, C. (2018). ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept. Mobile Information Systems, 2018, 1-8. https://doi.org/10.1155/2018/9723268

It is well known what an important role employment plays in our lives and how it influences our everyday life. With the help of employment, all of us as individuals manage to create our personal and social net that not only gives meaning and financia... Read More about ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept.

Multi-reality games: an experience across the entire reality-virtuality continuum (2018)
Conference Proceeding
Casas, L., Ciccone, L., Çimen, G., Wiedemann, P., Fauconneau, M., Sumner, R. W., & Mitchell, K. (2018). Multi-reality games: an experience across the entire reality-virtuality continuum. In Proceedings of the VRCAI2018. https://doi.org/10.1145/3284398.3284411

Interactive play can take very different forms, from playing with physical board games to fully digital video games. In recent years, new video game paradigms were introduced to connect real-world objects to virtual game characters. However, even the... Read More about Multi-reality games: an experience across the entire reality-virtuality continuum.

How universities can better engage with the animation/VFX sector in Scotland (2018)
Journal Article
Mortimer, J. (2018). How universities can better engage with the animation/VFX sector in Scotland. Animation Practice, Process & Production, 7(1), 157-173. https://doi.org/10.1386/ap3.7.1.157_1

This research explores how universities can better engage with the animation/VFX industry in Scotland, by examining what skills current industry requires of graduates, and how institutes can better collaborate with working studios. Given the unknown... Read More about How universities can better engage with the animation/VFX sector in Scotland.

SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data (2018)
Journal Article
Xiao, B., Wang, Z., Liu, Q., & Liu, X. (2018). SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data. Computers, Materials & Continua, 56(3), 365-379. https://doi.org/10.3970/cmc.2018.01830

In recent years, the rapid development of big data technology has also been favored by more and more scholars. Massive data storage and calculation problems have also been solved. At the same time, outlier detection problems in mass data have also co... Read More about SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data.

Object-focused mixed reality storytelling: technology-driven content creation and dissemination for engaging user experiences (2018)
Conference Proceeding
Darzentas, D., Flintham, M., & Benford, S. (2018). Object-focused mixed reality storytelling: technology-driven content creation and dissemination for engaging user experiences. In PCI '18: Proceedings of the 22nd Pan-Hellenic Conference on Informatics (278-281). https://doi.org/10.1145/3291533.3291588

In this paper we present the creation and deployment of a concerted set of Mixed Reality Technologies designed for creating engaging public experiences and enhanced storytelling opportunities focused on artefacts. Under the title of the Mixed Reality... Read More about Object-focused mixed reality storytelling: technology-driven content creation and dissemination for engaging user experiences.