All Outputs (115)

Topology for preserving feature correlation in tabular synthetic data. (2022)
Conference Proceeding
ARIFEEN, M. and PETROVSKI, A. 2022. Topology for preserving feature correlation in tabular synthetic data. In Proceedings of the 15th IEEE (Institute of Electrical and Electronics Engineers) International conference on security of information and networks 2022 (SINCONF 2022), 11-13 November 2022, Sousse, Tunisia. Piscataway: IEEE [online], pages 61-66. Available from: https://doi.org/10.1109/SIN56466.2022.9970505

Tabular synthetic data generating models based on Generative Adversarial Network (GAN) show significant contributions to enhancing the performance of deep learning models by providing a sufficient amount of training data. However, the existing GAN-ba... Read More about Topology for preserving feature correlation in tabular synthetic data..

Digital condition monitoring for wider blue economy. (2022)
Presentation / Conference
HASAN, M.J., YAN, Y. and REN, J. 2022. Digital condition monitoring for wider blue economy. Presented at the 12th Annual science meeting of the Marine Alliance for Science and Technology for Scotland (MASTS ASM 2022), 8-10 November 2022, Glasgow, UK.

In the process of decommissioning energy systems, condition monitoring is crucial. It can make the health status of offshore oil and gas installations, pipelines, wind farms etc. transparent to policymakers and stakeholders, and aid them in creating... Read More about Digital condition monitoring for wider blue economy..

Programming language evaluation criteria for safety-critical software in the air domain. (2022)
Conference Proceeding
ASHMORE, R., HOWE, A., CHILTON, R. and FAILY, S. 2022. Programming language evaluation criteria for safety-critical software in the air domain. In Proceedings of the 2022 IEEE (Institute of Electrical and Electronics Engineers) International symposium on software reliability engineering workshops (ISSREW 2022), 31 October - 3 November 2022, Charlotte, NC, USA. Los Alamitos: IEEE Computer Society [online], pages 230-237. Available from: https://doi.org/10.1109/ISSREW55968.2022.00072

Safety-critical software in the air domain typically conforms to RTCA DO-178C. However, latent failures might arise based on assumptions underpinning the programming language used to write the software, whereas the lack of empirical data may constrai... Read More about Programming language evaluation criteria for safety-critical software in the air domain..

Privacy goals for the data lifecycle. (2022)
Journal Article
HENRIKSEN-BULMER, J., YUCEL, C., FAILY, S. and CHALKIAS, I. 2022. Privacy goals for the data lifecycle. Future internet [online], 14(11), article number 315. Available from: https://doi.org/10.3390/fi14110315

The introduction of Data Protection by Default and Design (DPbDD) brought in as part of the General Data Protection Regulation (GDPR) in 2018, has necessitated that businesses review how best to incorporate privacy into their processes in a transpare... Read More about Privacy goals for the data lifecycle..

Bi-level optimisation and machine learning in the management of large service-oriented field workforces. (2022)
Thesis
AINSLIE, R.T. 2022. Bi-level optimisation and machine learning in the management of large service-oriented field workforces. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1880200

The tactical planning problem for members of the service industry with large multi-skilled workforces is an important process that is often underlooked. It sits between the operational plan - which involves the actual allocation of members of the wor... Read More about Bi-level optimisation and machine learning in the management of large service-oriented field workforces..

Employing multi-modal sensors for personalised smart home health monitoring. (2022)
Thesis
FORBES, G. 2022. Employing multi-modal sensors for personalised smart home health monitoring. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071646

Smart home systems are employed worldwide for a variety of automated monitoring tasks. FITsense is a system that performs personalised smart home health monitoring using sensor data. In this thesis, we expand upon this system by identifying the limit... Read More about Employing multi-modal sensors for personalised smart home health monitoring..

A novel gradient-guided post-processing method for adaptive image steganography. (2022)
Journal Article
XIE, G., REN, J., MARSHALL, S., ZHAO, H. and LI, R. 2023. A novel gradient-guided post-processing method for adaptive image steganography. Signal processing [online], 203, article 108813. Available from: https://doi.org/10.1016/j.sigpro.2022.108813

Designing an effective cost function has always been the key in image steganography after the development of the near-optimal encoders. To learn the cost maps automatically, the Generative Adversarial Networks (GAN) are often trained from the given c... Read More about A novel gradient-guided post-processing method for adaptive image steganography..

Responding to crisis: creating a wellness video. (2022)
Presentation / Conference
LYTWYNENKO, J. and ZARB, M. 2022. Responding to crisis: creating a wellness video. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

Throughout the COVID-19 pandemic, it became increasingly clear that students were struggling with their productivity and mental health, which was institutionally evident in the increasing number of drop-in requests we were getting during Office Hours... Read More about Responding to crisis: creating a wellness video..

Enhancing our understanding of independent learning amongst RGU students. (2022)
Presentation / Conference
FORBES-MCKAY, K. BREMNER, P. and JOHNSTON, P. 2022. Enhancing our understanding of independent learning amongst RGU students. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

There is increasing interest in the role of independent learning (IL) in higher education (Thomas, 2015). Indeed, several studies demonstrate the significant impact of IL on students' academic achievement (Difrancesca et al. 2016) and retention in hi... Read More about Enhancing our understanding of independent learning amongst RGU students..

Teaching during COVID-19: (international) lessons learnt in computing. (2022)
Presentation / Conference
ZARB, M. 2022. Teaching during COVID-19: (international) lessons learnt in computing. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

The coronavirus pandemic has forced an unprecedented global shift within higher education in the ways that we educate students. Computing education traditionally focuses on experiential, in-person activities. The pandemic has mandated that educators... Read More about Teaching during COVID-19: (international) lessons learnt in computing..

RGU ECHO work in progress. (2022)
Presentation / Conference
HOSSAIN, M. and MCGOWAN, J. 2022. RGU ECHO work in progress. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

The mental health (MH) and wellbeing (MW) of higher education students is a subject that has increased in visibility in recent years. The evidence available for students as a population indicates: higher risk of poor mental wellbeing; the challenging... Read More about RGU ECHO work in progress..

Implementing a large files policy for assessment submission. (2022)
Presentation / Conference
ZARB, M. and LYTWYNENKO, J. 2022. Implementing a large files policy for assessment submission. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

All coursework submitted within the School of Computing goes through CampusMoodle. However, this is not always a practicable solution due to its 500MB file limit, and the growing complexity of files submitted for student work. Some modules in the Sch... Read More about Implementing a large files policy for assessment submission..

DPN-ing student thinking. (2022)
Presentation / Conference
MCLEAN, R. 2022. DPN-ing student thinking. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

The DPN is an online thinking community. It offers tools for expressing and justifying opinions on dilemmas of every kind, whatever the discipline. It is a contemporary social network focused on practical problem-solving, self-awareness and collabora... Read More about DPN-ing student thinking..

Weathering the storm. (2022)
Presentation / Conference
WORK, F. and the RGU INSTITUTIONAL RESILIENCE PROJECT GROUP. 2022. Weathering the storm. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

Resilient Learning Communities is the 2020-2023 sector-wide QAA Enhancement theme (QAA 2020), with a specific aim to improve the student learning experience. QAA Enhancement themes involve institutions, staff and students working together to share pr... Read More about Weathering the storm..

A reflection on lessons learnt with tackling grade inflation. (2022)
Presentation / Conference
LYTWYNENKO, J. and ZARB, M. 2022. A reflection on lessons learnt with tackling grade inflation. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

A common issue with the academic process is that of grade inflation, or the over-abundance of good grades, which directly leads to a perceived loss of grade value by employers. Throughout the past several years during Assessment Boards within the Sch... Read More about A reflection on lessons learnt with tackling grade inflation..

Escaping traditional outreach: digital escape rooms to engage potential students. (2022)
Presentation / Conference
MARTIN, K., WRIGHT, R. and ZARB, M. 2022. Escaping traditional outreach: digital escape rooms to engage potential students. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

Outreach has been linked to many advantages, including improving access for typically disadvantaged students and raising their completion rates. The "Access To" programme is an outreach initiative for under-represented groups in secondary education.... Read More about Escaping traditional outreach: digital escape rooms to engage potential students..

Content type profiling of data-to-text generation datasets. (2022)
Conference Proceeding
UPADHYAY, A. and MASSIE, S. 2022. Content type profiling of data-to-text generation datasets. In N. Calzolari, C.-R. Huang, H. Kim. et al. (eds.) Proceedings of the 29th International conference on computational linguistics (COLING 2022), 12-17 October 2022, Gyeongju, Republic of Korea. Stroudsburg, PA: International Committee on Computational Linguistics [online], 29(1), pages 5770–5782. Available from: https://aclanthology.org/2022.coling-1.pdf

Data-to-Text Generation (D2T) problems can be considered as a stream of time-stamped events with a text summary being produced for each. The problem becomes more challenging when event summaries contain complex insights derived from multiple records... Read More about Content type profiling of data-to-text generation datasets..

Influencing student academic integrity choices using ethics scenarios. (2022)
Conference Proceeding
DANIELS, M., BERGLUND, A. and MCDERMOTT, R. 2022. Influencing student academic integrity choices using ethics scenarios. In Proceedings of the 2022 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2022), 8-11 October 2022, Uppsala, Sweden. Piscataway: IEEE [online], article 9962607. Available from: https://doi.org/10.1109/FIE56618.2022.9962607

Academic misconduct seems to have increased substantially during the pandemic, with a worldwide upsurge in reported cases. The aim of this project is to construct a framework for helping students engage with issues concerning academic integrity and a... Read More about Influencing student academic integrity choices using ethics scenarios..

Phronesis: deliberative judgement as a key competence in the post-Covid educational environment. (2022)
Conference Proceeding
MCDERMOTT, R. and DANIELS, M. 2022. Phronesis: deliberative judgement as a key competence in the post-Covid educational environment. In Proceedings of the 2022 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2022), 8-11 October 2022, Uppsala, Sweden. Piscataway: IEEE [online], article 9962515. Available from: https://doi.org/10.1109/FIE56618.2022.9962515

The global Covid19 pandemic which began in early 2020 is one of the most socially disruptive events to have occurred since the Second World War. It has left a profound mark on the institutions of society, including those charged with education, and i... Read More about Phronesis: deliberative judgement as a key competence in the post-Covid educational environment..

Crowdsourced quality assessment of enhanced underwater images: a pilot study. (2022)
Conference Proceeding
LIN, H., MEN, H., YAN, Y., REN, J. and SAUPE, D. 2022. Crowdsourced quality assessment of enhanced underwater images: a pilot study. In Proceedings of 14th International conference on quality of multimedia experience 2022 (QoMEX 2022), 5-7 September 2022, Lippstadt, Germany. Piscataway: IEEE [online], article 9900904. Available from: https://doi.org/10.1109/QoMEX55416.2022.9900904

Underwater image enhancement (UIE) is essential for a high-quality underwater optical imaging system. While a number of UIE algorithms have been proposed in recent years, there is little study on image quality assessment (IQA) of enhanced underwater... Read More about Crowdsourced quality assessment of enhanced underwater images: a pilot study..