Skip to main content

Research Repository

Advanced Search

Outputs (57)

Cognitive modelling and control of human error processes in human-computer interaction with safety critical IT systems in telehealth. (2017)
Thesis
ALWAWI, I. 2017. Cognitive modelling and control of human error processes in human-computer interaction with safety critical IT systems in telehealth. Robert Gordon University, PhD thesis.

The field of telehealth has developed rapidly in recent years. It provides medical support particularly to those who are living in remote areas and in emergency cases. Although developments in both technology and practice have been rapid, there are s... Read More about Cognitive modelling and control of human error processes in human-computer interaction with safety critical IT systems in telehealth..

Using extreme characters to teach requirements engineering. (2017)
Conference Proceeding
IACOB, C. and FAILY, S. 2017. Using extreme characters to teach requirements engineering. In Washizaki, H. and Mead, N. (eds.) Proceedings of the 30th IEEE conference on software engineering education and training (CSEET 2017), 7-9 November 2017, Savannah, USA. Los Alamitos: IEEE Computer Society [online], pages 107-111. Available from: https://doi.org/10.1109/CSEET.2017.25

One of the main challenges in teaching Software Engineering as an undergraduate course is making the need for software processes and documentation obvious. Armed with some knowledge of programming, students may feel inclined to skip any development p... Read More about Using extreme characters to teach requirements engineering..

Deep imitation learning for 3D navigation tasks. (2017)
Journal Article
HUSSEIN, A., ELYAN, E., GABER, M.M. and JAYNE, C. 2018. Deep imitation learning for 3D navigation tasks. Neural computing and applications [online], 29(7), pages 389-404. Available from: https://doi.org/10.1007/s00521-017-3241-z

Deep learning techniques have shown success in learning from raw high dimensional data in various applications. While deep reinforcement learning is recently gaining popularity as a method to train intelligent agents, utilizing deep learning in imita... Read More about Deep imitation learning for 3D navigation tasks..

Predicting service levels using neural networks. (2017)
Conference Proceeding
AINSLIE, R., MCCALL, J., SHAKYA, S. and OWUSU, G. 2017. Predicting service levels using neural networks. In Bramer, M. and Petridis, M. (eds.) Artificial intelliegence XXXIV: proceedings of the 37th SGAI International innovative techniques and applications of artifical intelligence conference 2017 (AI 2017), 12-14 December 2017, Cambridge, UK. Lecture notes in computer science, 10630. Cham: Springer [online], pages 411-416. Available from: https://doi.org/10.1007/978-3-319-71078-5_35

In this paper we present a method to predict service levels in utility companies, giving them advanced visibility of expected service outcomes and helping them to ensure adherence to service level agreements made to their clients. Service level adher... Read More about Predicting service levels using neural networks..

Towards computational dialogue types for BIM collaborative design: an initial study. (2017)
Conference Proceeding
TONIOLO, A. and LEON, M. 2017. Towards computational dialogue types for BIM collaborative design: an initial study. In Bistarelli, S., Giacomin, M. and Pazienza, A. (eds.) Proceedings of the 1st Workshop on advances in argumentation in artificial intelligence (AI^3 2017), 16-17 November 2017, Bari, Italy. CEUR workshop proceedings, 2012. Aachen: CEUR-WS [online], session 3: dialogues, real world arguments and applications, pages 79-84. Available from: http://ceur-ws.org/Vol-2012/AI3-2017_paper_8.pdf

Collaborative design is an iterative process of selecting and evaluating solutions under potentially conflicting requirements, a concept central to Building Information Modelling (BIM) implementation. Previous research has shown that design can be be... Read More about Towards computational dialogue types for BIM collaborative design: an initial study..

Accuracy of physical activity recognition from a wrist-worn sensor. (2017)
Presentation / Conference
COOPER, K., SANI, S., CORRIGAN, L., MACDONALD, H., PRENTICE, C., VARETA, R., MASSIE, S. and WIRATUNGA, N. 2017. Accuracy of physical activity recognition from a wrist-worn sensor. Presented at the 2017 Physiotherapy UK conference and trade exhibition: transform lives, maximise independence and empower populations, 10-11 November 2017, Birmingham, UK.

The EU-funded project 'selfBACK' (http://www.selfback.eu) will utilise continuous objective monitoring of physical activity (PA) by a wrist-mounted wearable, combined with self-monitoring of symptoms and case-based reasoning. Together these will prov... Read More about Accuracy of physical activity recognition from a wrist-worn sensor..

Simulation and optimisation of the separation process in offshore oil and gas platforms. (2017)
Thesis
VELESHKI, S. 2017. Simulation and optimisation of the separation process in offshore oil and gas platforms. Robert Gordon University, MRes thesis.

Hydrocarbon separation in offshore oil and gas platforms is the process that transforms extracted crude oil into transportable oil and gas. Temperatures and pressures of the separation system can be adjusted to modify the separation of the hydrocarbo... Read More about Simulation and optimisation of the separation process in offshore oil and gas platforms..

Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. (2017)
Journal Article
MAJDANI, F., PETROVSKI, A. and DOOLAN, D. 2017. Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. Evolving systems [online], 9(2), pages 119-133. Available from: https://doi.org/10.1007/s12530-017-9206-8

An adaptive multi-tiered framework, that can be utilised for designing a context-aware cyber physical system to carry out smart data acquisition and processing, while minimising the amount of necessary human intervention is proposed and applied. The... Read More about Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine..

Goal models for acceptance requirements analysis and gamification design. (2017)
Conference Proceeding
PIRAS, L., PAJA, E., GIORGINI, P. and MYLOPOULOS, J. 2017. Goal models for acceptance requirements analysis and gamification design. In Mayr, H.C., Guizzardi, G., Ma, H. and Pastor, O. (eds.) Conceptual modeling: proceedings of 36th Conceptual modeling international conference 2017 (ER 2017), 6-9 November 2017, Valencia, Spain. Lecture notes in computer science, 10650. Cham: Springer [online], pages 223-230. Available from: https://doi.org/10.1007/978-3-319-69904-2_18

The success of software systems highly depends on user engagement. Thus, to deliver engaging systems, software has to be designed carefully taking into account Acceptance Requirements, such as '70% of users will use the system', and the psychological... Read More about Goal models for acceptance requirements analysis and gamification design..