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All Outputs (13)

Interactive cyber-physical system hacking: Engaging students early using Scalextric (2022)
Presentation / Conference
White, J., Legg, P., & Mills, A. (2022, November). Interactive cyber-physical system hacking: Engaging students early using Scalextric. Paper presented at Colloquium on Information Systems Security Education, 2022, Online

Cyber Security as an education discipline covers a variety of topics that can be challenging and complex for students who are new to the subject domain. With this in mind, it is crucial that new students are motivated by understanding both the techni... Read More about Interactive cyber-physical system hacking: Engaging students early using Scalextric.

Teaching offensive and defensive cyber security in schools using a Raspberry Pi Cyber Range (2022)
Presentation / Conference
Legg, P., Mills, A., & Johnson, I. (2022, November). Teaching offensive and defensive cyber security in schools using a Raspberry Pi Cyber Range. Paper presented at Colloquium on Information Systems Security Education, Online

Computer Science as a subject is now appearing in more school curricula for GCSE and A level, with a growing demand for cyber security to be embedded within this teaching. Yet, teachers face challenges with limited time and resource for preparing pra... Read More about Teaching offensive and defensive cyber security in schools using a Raspberry Pi Cyber Range.

Rethinking living matter: Animate behaviours of fungal composites (2022)
Presentation / Conference
Nikolaidou, A., & Adamatzky, A. (2022, September). Rethinking living matter: Animate behaviours of fungal composites. Paper presented at SEEDS International Conference 2022, University of West of England, Bristol

Smart materials integrating conventional soft electronics e.g. sensors and actuators, are widely used in the building and wearable industries, contributing to the depletion of natural resources and having a vast environmental impact. In this paper, a... Read More about Rethinking living matter: Animate behaviours of fungal composites.

Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions (2022)
Presentation / Conference
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2022, September). Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions. Presented at Continuing Excellence in Teaching and Learning in Mathematics, Statistics and Operational Research conference (CETL-MSOR-2022), Abertay University, Dundee , Scotland

Students may arrive at an incorrect answer when answering a mathematical question due to several reasons, such as random errors, calculation errors or misreading the question. Such errors are sometimes referred to as Common Student Errors (CSEs). Se... Read More about Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions.

Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models (2022)
Presentation / Conference
Sharp, R., Ihshaish, H., & Deza, J. I. (2022, August). Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models. Paper presented at International Conference for Sustainable Ecological Engineering Design for Society, SEEDS 22, UWE Bristol and online

The forecasting of large ramps in wind power output known as ramp events is crucial for the incorporation of large volumes of wind energy into national electricity grids. Large variations in wind power supply must be compensated by ancillary energy s... Read More about Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models.

Reflecting on the benefits and challenges of online learning during the COVID-19 Pandemic (2022)
Presentation / Conference
West, H., Hill, J., Abzhaparova, A., Cox, W., & Alexander, A. (2022, August). Reflecting on the benefits and challenges of online learning during the COVID-19 Pandemic. Presented at Royal Geographical Society Annual International Conference, Newcastle

The COVID-19 pandemic resulted in profound disruption to geography higher education. A pivot to online teaching required staff to rapidly adapt their practices to novel learning environments and digital spaces. Whilst many studies have reported the d... Read More about Reflecting on the benefits and challenges of online learning during the COVID-19 Pandemic.

Development of communicating stream x-machine tool for modeling and generating test cases for automated teller machine (2022)
Presentation / Conference
Adewale Sanusi, B., Ogunshile, E., Aydin, M., Olatunde Olabiyisi, S., & Oyedepo Oyediran, M. (2022, August). Development of communicating stream x-machine tool for modeling and generating test cases for automated teller machine. Paper presented at 9th International Conference on Computer Science and Information Technology (CSIT 2022), Chennai, India

The improvement of this paper takes advantage of the existing formal method called Stream X-Machine by optimizing the theory and applying it to practice in a large-scale system. This optimized formal approach called Communicating Stream X-Machine (CS... Read More about Development of communicating stream x-machine tool for modeling and generating test cases for automated teller machine.

Disclosure risks in odds ratios and logistic regression (2022)
Presentation / Conference
Derrick, B., Green, E., Ritchie, F., & White, P. (2022, April). Disclosure risks in odds ratios and logistic regression. Paper presented at Scottish Economic Society Annual Conference 2022: Special session 'Protecting confidentiality in social science research outputs', Glasgow

When publishing statistics from confidential data, there exists a risk that the statistic might inadvertently reveal confidential information. Statistical disclosure control (SDC) aims to reduce that risk to an acceptable level. Most SDC theory is co... Read More about Disclosure risks in odds ratios and logistic regression.

Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation (2022)
Presentation / Conference
Derrick, B., Green, E., Kember, K., Ritchie, F., & White, P. (2022, April). Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation. Paper presented at Scottish Economic Society, Glasgow

Reporting the sample mean, sample standard deviation and sample size could in some cases lead to the unique identification of the underpinning sample. The likelihood of this reveal via direct enumeration of the possible search space decreases with i... Read More about Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation.