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Welcome to OpenAIR@RGU

OpenAIR@RGU is the open access institutional repository of Robert Gordon University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests. Further information is available in the repository policy. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Publications Team at publications@rgu.ac.uk



Latest Additions

Harvesting sustainable energy from saltwater, part II: effect of electrode geometry. (2019)
Journal Article
BANI, N.A., MAD KAIDI, H., MUHTAZARUDDIN, M.N., MOHAMED RASHIDI, A.H., HASSAN, M.Z., SARIP, S., SALEH, S., MUHAMMAD SUKKI, F., ABU BAKAR, S.H., MAS'UD, A.A. and ARDILLA-REY, J. 2019. Harvesting sustainable energy from saltwater, part II: effect of electrode geometry. Test engineering and management [online], 81 (11-12), pages 5709-5717. Available from: http://testmagzine.biz/...ne/article/view/810/731

Green energy or renewable energy is a widely and commonly used terminology when depicting the energy generated from natural resources such as solar, wind, geothermal, biomass and hydropower. One energy resource, in particular, has yet to unleash its... Read More about Harvesting sustainable energy from saltwater, part II: effect of electrode geometry..

Locality sensitive batch selection for triplet networks. (2020)
Conference Proceeding
MARTIN, K., WIRATUNGA, N. and SANI, S. [2020]. Locality sensitive batch selection for triplet networks. To be presented at the 2020 Institute of Electrical and Electronics Engineers (IEEE) World computational intelligence congress (WCCI 2020), co-located with 2020 International Joint Conference on Neural Networks (IJCNN 2020), 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), and IEEE Congress on Evolutionary Computation (IEEE CEC 2020), 19-24 July 2020, Glasgow, UK.

Triplet networks are deep metric learners which learn to optimise a feature space using similarity knowledge gained from training on triplets of data simultaneously. The architecture relies on the triplet loss function to optimise its weights based u... Read More about Locality sensitive batch selection for triplet networks..

Fifty years of social work education: analysis of motivations and outcomes. (2020)
Journal Article
BUTLER-WARKE, A. and BOLGER, J. [2020]. Fifty years of social work education: analysis of motivations and outcomes. Journal of social work [online], OnlineFirst. Available from: https://doi.org/10.1177/1468017320911603

Summary: This article uses the 50th anniversary of social work education provision at one of north-east Scotland’s universities as an opportunity to reflect on social work education outcomes and motivations for undertaking training. This empirical as... Read More about Fifty years of social work education: analysis of motivations and outcomes..

Tourism trends: lifestyle developments and the links to solo tourism. (2020)
Journal Article
LEITH, C. [2020]. Tourism trends: lifestyle developments and the links to solo tourism. Journal of tourism futures [online], EarlyCite. Available from: https://doi.org/10.1108/JTF-11-2019-0126

Purpose– The purpose of this paper is to propose drivers that may impact the development of solo tourism in the near future. Design/methodology/approach– This paper identifies and briefly examines four key factors that, it is suggested, will be signi... Read More about Tourism trends: lifestyle developments and the links to solo tourism..

Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition. (2020)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N. and COOPER, K. [2020]. Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition. To be presented at the 2020 Institute of Electrical and Electronics Engineers (IEEE) World computational intelligence congress (WCCI 2020), co-located with 2020 International Joint Conference on Neural Networks (IJCNN 2020), 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), and IEEE Congress on Evolutionary Computation (IEEE CEC 2020), 19-24 July 2020, Glasgow, UK.

Exercise adherence is a key component of digital behaviour change interventions for the self-management of musculoskeletal pain. Automated monitoring of exercise adherence requires sensors that can capture patients performing exercises and Machine Le... Read More about Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition..


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