All Outputs (830)

Teaching students using Design-First Test-Driven Development (2023)
Presentation / Conference Contribution
Dixon, J., Brayshaw, M., Gordon, N., Grey, S., Parker, D., & Tompsett, B. (2022, June). Teaching students using Design-First Test-Driven Development. Presented at INSPIRE XXVII: E-Learning for Sustainabilty and Education Beyond Pandemic, Online

This paper explores a test-driven approach to teaching within Higher Education. Test-driven here is derived from the Software Engineering approach, where the test cases for software are defined prior to the software being fully developed. The emphasi... Read More about Teaching students using Design-First Test-Driven Development.

Teaching Sustainable Computing Remotely (2023)
Presentation / Conference Contribution
Gordon, N. (2022, June). Teaching Sustainable Computing Remotely. Presented at INSPIRE XXVII - e-Learning for Sustainability and Education Beyond Pandemic, Online

This paper explores experiences of teaching sustainable computing remotely during the Coronavirus pandemic. The unanticipated rapid pivot to online learning meant that courses with traditional teaching, or blended approaches had to be adapted to be d... Read More about Teaching Sustainable Computing Remotely.

Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models (2023)
Presentation / Conference Contribution
Mboli, J. S., Thakker, D., & Mishra, J. (2023, April). Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models. Presented at International Conference on Enterprise Information Systems, ICEIS - Proceedings, Prague, Czech Republic

The circular economy (CE) is preferred to linear economy (LE) as it aims to keep resources in use for as long as possible, extracting maximum value before recovering and regenerating them. This reduces the need to extract new raw materials and reduce... Read More about Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models.

Design and Adaptive Compliance Control of a Wearable Walk Assist Device (2023)
Presentation / Conference Contribution
Shah, S. H., Alam, M. S., Arsalan, M., Ul Haq, I., Khan, S. G., & Iqbal, J. (2023, March). Design and Adaptive Compliance Control of a Wearable Walk Assist Device. Presented at 2023 International Conference on Robotics and Automation in Industry (ICRAI), Peshawar, Pakistan

The ability to walk independently is a predominant feature that human beings are bestowed with by nature. People with moving disabilities face many challenges in day-to-day activities and they have to rely on others to perform their day-to-day activi... Read More about Design and Adaptive Compliance Control of a Wearable Walk Assist Device.

Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics (2023)
Journal Article
Balding, S., Gning, A., Cheng, Y., & Iqbal, J. (2023). Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics. Applied Sciences, 13(8), Article 5065. https://doi.org/10.3390/app13085065

Robotic agents are now ubiquitous in both home and work environments; moreover, the degree of task complexity they can undertake is also increasing exponentially. Now that advanced robotic agents are commonplace, the question for utilisation becomes... Read More about Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics.

Precision agricultural robotic sprayer with real-time Tobacco recognition and spraying system based on deep learning (2023)
Journal Article
Nasir, F. E., Tufail, M., Haris, M., Iqbal, J., Khan, S., & Khan, M. T. (2023). Precision agricultural robotic sprayer with real-time Tobacco recognition and spraying system based on deep learning. PLoS ONE, 18(3 MARCH), Article e0283801. https://doi.org/10.1371/journal.pone.0283801

Precision agricultural techniques try to prevent either an excessive or inadequate application of agrochemicals during pesticide application. In recent years, it has become popular to combine traditional agricultural practices with artificial intelli... Read More about Precision agricultural robotic sprayer with real-time Tobacco recognition and spraying system based on deep learning.

From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model (2023)
Journal Article
Kureshi, R. R., Thakker, D., Mishra, B. K., & Barnes, J. (2023). From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model. Sensors, 23(7), Article 3613. https://doi.org/10.3390/s23073613

The topic of indoor air pollution has yet to receive the same level of attention as ambient pollution. We spend considerable time indoors, and poorer indoor air quality affects most of us, particularly people with respiratory and other health conditi... Read More about From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model.

Certainty equivalence-based robust sliding mode control strategy and its application to uncertain PMSG-WECS (2023)
Journal Article
Chand, A., Khan, Q., Alam, W., Khan, L., & Iqbal, J. (2023). Certainty equivalence-based robust sliding mode control strategy and its application to uncertain PMSG-WECS. PLoS ONE, 18(2), Article e0281116. https://doi.org/10.1371/journal.pone.0281116

This work focuses on maximum power extraction via certainty equivalence-based robust sliding mode control protocols for an uncertain Permanent Magnet Synchronous Generator-based Wind Energy Conversion System (PMSG-WECS). The considered system is subj... Read More about Certainty equivalence-based robust sliding mode control strategy and its application to uncertain PMSG-WECS.

Motivating Students to Learn How to Write Code Using a Gamified Programming Tutor (2023)
Journal Article
Gordon, N. A., & Grey, S. (2023). Motivating Students to Learn How to Write Code Using a Gamified Programming Tutor. Education Sciences, 13(3), Article 230. https://doi.org/10.3390/educsci13030230

Engagement and retention are widely acknowledged problems in computer science and more general higher education. The need to develop programming skills is increasingly ubiquitous, but especially so in computer science where it is one of the core comp... Read More about Motivating Students to Learn How to Write Code Using a Gamified Programming Tutor.

Sustainable Language Training for Engineering Students: Integrating Resource-Efficiency into the Course Content through the Educational Process (2023)
Journal Article
Gordon, N., Kemerova, N., Bolsunovskaya, L., & Osipov, S. (2023). Sustainable Language Training for Engineering Students: Integrating Resource-Efficiency into the Course Content through the Educational Process. Education Sciences, 13(2), Article 176. https://doi.org/10.3390/educsci13020176

The sustainable use of the Earth’s resources is recognized as increasingly important on a global scale, especially in relation to natural resource management, and is effectively addressed under the auspices of resource efficiency within engineering e... Read More about Sustainable Language Training for Engineering Students: Integrating Resource-Efficiency into the Course Content through the Educational Process.

Model predictive control of consensus-based energy management system for DC microgrid (2023)
Journal Article
Ali, S. U., Waqar, A., Aamir, M., Qaisar, S. M., & Iqbal, J. (2023). Model predictive control of consensus-based energy management system for DC microgrid. PLoS ONE, 18(1), Article e0278110. https://doi.org/10.1371/journal.pone.0278110

The increasing deployment and exploitation of distributed renewable energy source (DRES) units and battery energy storage systems (BESS) in DC microgrids lead to a promising research field currently. Individual DRES and BESS controllers can operate a... Read More about Model predictive control of consensus-based energy management system for DC microgrid.

A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites (2023)
Journal Article
Wan, L., Ismail, Y., Sheng, Y., Ye, J., & Yang, D. (2023). A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites. Composites Part C: Open Access, 10, Article 100348. https://doi.org/10.1016/j.jcomc.2023.100348

The recent decades have seen various attempts at the numerical modelling of fibre-reinforced polymer (FRP) composites in the aerospace, auto and marine sectors due to their excellent mechanical properties. However, it is still challenging to accurate... Read More about A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites.

A novel adaptive PD-type iterative learning control of the PMSM servo system with the friction uncertainty in low speeds (2023)
Journal Article
Riaz, S., Qi, R., Tutsoy, O., & Iqbal, J. (2023). A novel adaptive PD-type iterative learning control of the PMSM servo system with the friction uncertainty in low speeds. PLoS ONE, 18(1), Article e0279253. https://doi.org/10.1371/journal.pone.0279253

High precision demands in a large number of emerging robotic applications strengthened the role of the modern control laws in the position control of the Permanent Magnet Synchronous Motor (PMSM) servo system. This paper proposes a learning-based ada... Read More about A novel adaptive PD-type iterative learning control of the PMSM servo system with the friction uncertainty in low speeds.

A featureless approach for object detection and tracking in dynamic environments (2023)
Journal Article
Zohaib, M., Ahsan, M., Khan, M., & Iqbal, J. (2023). A featureless approach for object detection and tracking in dynamic environments. PLoS ONE, 18(1), Article e0280476. https://doi.org/10.1371/journal.pone.0280476

One of the challenging problems in mobile robotics is mapping a dynamic environment for navigating robots. In order to disambiguate multiple moving obstacles, state-of-art techniques often solve some form of dynamic SLAM (Simultaneous Localization an... Read More about A featureless approach for object detection and tracking in dynamic environments.

Neural network and URED observer based fast terminal integral sliding mode control for energy efficient polymer electrolyte membrane fuel cell used in vehicular technologies (2023)
Journal Article
Javaid, U., Mehmood, A., Iqbal, J., & Uppal, A. A. (2023). Neural network and URED observer based fast terminal integral sliding mode control for energy efficient polymer electrolyte membrane fuel cell used in vehicular technologies. Energy, 269, Article 126717. https://doi.org/10.1016/j.energy.2023.126717

In this research work, a Neural Network (NN) and Uniform Robust Exact Differentiator (URED) observer-based Fast Terminal Integral Sliding Mode Control (FTISMC) has been proposed for Oxygen Excess Ratio (OER) regulation of a Polymer Electrolyte Membra... Read More about Neural network and URED observer based fast terminal integral sliding mode control for energy efficient polymer electrolyte membrane fuel cell used in vehicular technologies.

This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy (2023)
Journal Article
Chatterjee, J., & Dethlefs, N. (2023). This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy. Patterns, 4(1), Article 100676. https://doi.org/10.1016/j.patter.2022.100676

We explore the recently released ChatGPT model, one of the most powerful conversational AI models that has ever been developed. This opinion provides a perspective on its strengths and weaknesses and a call to action for the AI community (including a... Read More about This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy.

Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment (2023)
Journal Article
Mazumdar, S., Qi, J., Thakker, D., & Goodchild, B. (2023). Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment. International Journal of E-Planning Research, 12(1), 1-40. https://doi.org/10.4018/IJEPR.326126

The planning process in the UK is a highly complex system, developed over many decades, and is in the process of rapid transitions into digital planning. Among these transformations is a desire to move from an outputs-based assessment to an outcomes-... Read More about Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment.

Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients (2023)
Journal Article
Saleem, O., & Iqbal, J. (2023). Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients. Measurement and Control, https://doi.org/10.1177/00202940231189504

Type-I Diabetes (TID) is a chronic autoimmune disease that elevates the glucose levels in the patient’s bloodstream. This paper formulates a fractional complex-order Proportional-Integral-Derivative (PID) control strategy for robust Blood Glucose (BG... Read More about Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients.

Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images (2022)
Journal Article
Quintero, P., Benoit, D., Cheng, Y., Moore, C., & Beavis, A. (2022). Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images. Physics in Medicine and Biology, 67(24), Article 245001. https://doi.org/10.1088/1361-6560/aca38a

Machine learning (ML) methods have been implemented in radiotherapy to aid virtual specific-plan verification protocols, predicting gamma passing rates (GPR) based on calculated modulation complexity metrics because of their direct relation to dose d... Read More about Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images.

Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective (2022)
Journal Article
Al-Qora’n, L., Salem, O. A. S., & Gordon, N. (2022). Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective. Computers, 11(12), Article 175. https://doi.org/10.3390/computers11120175

The way that education is delivered changed significantly during the COVID-19 pandemic to be completely online in many countries for many institutions. Despite the fact that they are not online teaching platforms, virtual meeting platforms were utili... Read More about Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective.