Outputs (4095)

The GIFT Framework: Give Visitors the Tools to Tell Their Own Stories (2019)
Presentation / Conference Contribution
Løvlie, A. S., Benford, S., Spence, J., Wray, T., Hviid Mortensen, C., Olesen, A., Rogberg, L., Bedwell, B., Darzentas, D., & Waern, A. (2019, April). The GIFT Framework: Give Visitors the Tools to Tell Their Own Stories. Presented at MW19, Boston, MA

GIFT is an ongoing EU-funded research project developing hybrid visitor experiences: mixed reality designs that complement, challenge, or overlay physical visits with digital content. Through design exploration of two concepts focusing on gifting and... Read More about The GIFT Framework: Give Visitors the Tools to Tell Their Own Stories.

Measuring and testing the scalability of cloud-based software services (2019)
Presentation / Conference Contribution
Al-Said Ahmad, A., & Andras, P. (2018, October). Measuring and testing the scalability of cloud-based software services. Presented at 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT), Amman, Jordan

Performance and scalability testing and measurements of cloud-based software services are critically important in the context of rapid growth of cloud computing and supporting the delivery of these services. Cloud-based software services performance... Read More about Measuring and testing the scalability of cloud-based software services.

A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA) (2019)
Journal Article
Ozturk, M., Gogate, M., Onireti, O., Adeel, A., Hussain, A., & Imran, M. A. (2019). A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA). Neurocomputing, 358, 479-489. https://doi.org/10.1016/j.neucom.2019.01.031

One of the fundamental goals of mobile networks is to enable uninterrupted access to wireless services without compromising the expected quality of service (QoS). This paper reports a number of significant contributions. First, a novel analytical mod... Read More about A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA).

Equality of opportunity for work experience? Computing students at two UK universities “play the game” (2019)
Journal Article
Smith, S., Taylor-Smith, E., Bacon, L., & Mackinnon, L. (2019). Equality of opportunity for work experience? Computing students at two UK universities “play the game”. British Journal of Sociology of Education, 40(3), 324-339. https://doi.org/10.1080/01425692.2018.1489219

A recent UK Government commissioned study found concerning levels of unemployment among computing students from disadvantaged, black and minority ethnic backgrounds. The study highlighted that work experience was a factor in increased levels of gradu... Read More about Equality of opportunity for work experience? Computing students at two UK universities “play the game”.

Glass—A Material Practice in the Anthropocene (2019)
Journal Article
Panneels, I. (2019). Glass—A Material Practice in the Anthropocene. Arts, 8(1), 7. https://doi.org/10.3390/arts8010007

This paper details and discusses Material Journey (2018), an art project by the author that was exhibited at the National Glass Centre in Sunderland (UK) from 9 June to 2 September 2018. This research project sought to interrogate the material impact... Read More about Glass—A Material Practice in the Anthropocene.

Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models (2019)
Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Sun, M., & Linge, N. (2019). Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models. IEEE Transactions on Consumer Electronics, 65(1), 1-1. https://doi.org/10.1109/tce.2019.2891160

Awareness of electric energy usage has both societal and economic benefits, which include reduced energy bills and stress on non-renewable energy sources. In recent years, there has been a surge in interest in the field of load monitoring, also refer... Read More about Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models.

Protecting Civilians from Cyber Warfare with Cyber Buffer Zones (2019)
Journal Article
Robinson, M., Maglaras, L., Jones, K., & Janicke, H. (2019). Protecting Civilians from Cyber Warfare with Cyber Buffer Zones. International Journal of Smart Security Technologies, 6(1), 31-48. https://doi.org/10.4018/ijsst.2019010103

Cyber peacekeeping has quickly risen in prominence as a viable way to regulate the impact cyber warfare has upon civilian security. In this article, the concept of a cyber buffer zone is explored, and proposals are made on how it could be used to fur... Read More about Protecting Civilians from Cyber Warfare with Cyber Buffer Zones.

Preface (2018)
Presentation / Conference Contribution
Ren, J., Hussain, A., Zheng, J., Liu, C.-L., Luo, B., Zhao, H., & Zhao, X. (2018, July). Preface. Presented at 9th International Conference, BICS 2018, Xi’an, China

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.