All Outputs (282)

Eidolon360 – A VR Experience (2018)
Presentation / Conference Contribution
Hood, B., & Flint, T. (2018, July). Eidolon360 – A VR Experience. Presented at 6th Conference on Computation, Communication, Aesthetics & X, Madrid, Spain

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 360 film, shot within a medical simulation centre, that mimics clinical hosp... Read More about Eidolon360 – A VR Experience.

A Cooperative Learning Approach for the Quadratic Knapsack Problem (2018)
Presentation / Conference Contribution
Lalla-Ruiz, E., Segredo, E., & Voß, S. (2018, June). A Cooperative Learning Approach for the Quadratic Knapsack Problem. Presented at Learning and Intelligent Optimization Conference (LION12), Kalamata, Greece

The Quadratic Knapsack Problem (QKP) is a well-known optimization problem aimed to maximize a quadratic objective function subject to linear capacity constraints. It has several applications in different fields such as telecommunications, graph theor... Read More about A Cooperative Learning Approach for the Quadratic Knapsack Problem.

Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2018, August). Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. Presented at The 4th International Conference on Technology Trends, Babahoyo, Ecuador

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, such as programmable logic controllers (PLC), networking devices, and actua... Read More about Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System.

Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning (2018)
Journal Article
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 systems, email classification is an essential mechanism to classify spam and l... Read More about Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning.

Feature-preserving detailed 3D face reconstruction from a single image (2018)
Presentation / Conference Contribution
Li, Y., Ma, L., Fan, H., & Mitchell, K. (2018, December). Feature-preserving detailed 3D face reconstruction from a single image. Presented at the 15th ACM SIGGRAPH European Conference, London, United Kingdom

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 with a reconstruction framework that is robust to large variations in expre... Read More about Feature-preserving detailed 3D face reconstruction from a single image.

NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification (2018)
Journal Article
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (2022). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, 28(3), 1251-1261. https://doi.org/10.1007/s11276-018-01909-0

Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever growing social inetworking and online marketing sites, the reviews obtained... Read More about NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification.

Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution (2018)
Journal Article
Ahmad, J., Larijani, H., Emmanuel, R., Mannion, M., & Javed, A. (2018). Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution. Applied Computing and Informatics, https://doi.org/10.1016/j.aci.2018.12.001

Buildings use approximately 40% of global energy and are responsible for almost a third of the worldwide greenhouse gas emissions. They also utilise about 60% of the world’s electricity. In the last decade, stringent building regulations have led to... Read More about Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution.

The impact of work placement on graduate employment in computing: outcomes from a UK-based study (2018)
Journal Article
Smith, S., Taylor-Smith, E., Smith, C., & Webster, G. (2018). The impact of work placement on graduate employment in computing: outcomes from a UK-based study. International Journal of Work-Integrated Learning, 19(4), 359-369

This study followed recent computing graduates into the workplace and explored their undergraduate experiences of work placements and subsequent impact on graduate employment. Whilst studying at one of 14 Scottish universities, participants (n=99) ha... Read More about The impact of work placement on graduate employment in computing: outcomes from a UK-based study.

Reducing the Impact of Network Bottlenecks on Remote Contraband Detection (2018)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2018, June). Reducing the Impact of Network Bottlenecks on Remote Contraband Detection. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018), Glasgow, UK

Cloud based storage is increasing in popularity, with
large volumes of data being stored remotely. Digital forensics
investigators examining such systems remotely are limited by
bandwidth constraints when accessing this kind of data using
traditi... Read More about Reducing the Impact of Network Bottlenecks on Remote Contraband Detection.

Sub-file Hashing Strategies for Fast Contraband Detection (2018)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2018, June). Sub-file Hashing Strategies for Fast Contraband Detection. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018), Glasgow, Scotland

Traditional digital forensics processes do not scale well with the huge quantities of data present in a modern investigation, resulting in large investigative backlogs for many law enforcement agencies. Data reduction techniques are required for fast... Read More about Sub-file Hashing Strategies for Fast Contraband Detection.

A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018, June). A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. Presented at Cyber Security 2018: 2018 International Conference on Cyber Security and Protection of Digital Services, Glasgow, United Kingdom

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 Contribution
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)
Presentation / Conference Contribution
Meharg, D., Varey, A., & Cairncross, S. (2018, December). "We're coming from different worlds" : exploring student identity during transition. Presented at SRHE Newer and Early Career Conference 2018, Newport, Wales

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 Contribution
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., Payne, T., Perret, C., Pitt, J., Powers, S. T., Urquhart, N., & 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)
Presentation / Conference Contribution
Casas, L., Ciccone, L., Çimen, G., Wiedemann, P., Fauconneau, M., Sumner, R. W., & Mitchell, K. (2018, December). Multi-reality games: an experience across the entire reality-virtuality continuum. Presented at the 16th ACM SIGGRAPH International Conference, Tokyo, Japan

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)
Presentation / Conference Contribution
Darzentas, D., Flintham, M., & Benford, S. (2018, November). Object-focused mixed reality storytelling: technology-driven content creation and dissemination for engaging user experiences. Presented at PCI '18: 22nd Pan-Hellenic Conference on Informatics, Athens Greece

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.