All Outputs (175)

Flexible Ontology-Driven Educational Apps and Social Media for Learners with a Disability (2022)
Presentation / Conference Contribution
Nganji, J. T., Brayshaw, M., & Gordon, N. (2022, June). Flexible Ontology-Driven Educational Apps and Social Media for Learners with a Disability. Presented at HCII 2022: Learning and Collaboration Technologies. Designing the Learner and Teacher Experience

This paper explores how to build ontology-driven learning systems from a flexible disability-aware mentality and augment them into a learning blend that embraces social media. The approach emphasizes the use of user centered flexible software in a bl... Read More about Flexible Ontology-Driven Educational Apps and Social Media for Learners with a Disability.

The Role of Gamification in a Software Development Lifecycle (2021)
Presentation / Conference Contribution
Gordon, N., Brayshaw, M., Dixon, J., Grey, S., & Parker, D. (2021, June). The Role of Gamification in a Software Development Lifecycle. Presented at INSPIRE XXVI International e-conference, Online

Teaching Software Engineering students raises a number of challenges; in particular that student developers typically demonstrate behaviours that run counter to good software development. These include failing to plan properly, failing to develop the... Read More about The Role of Gamification in a Software Development Lifecycle.

Terminal sliding mode control of an anthropomorphic manipulator with friction based observer (2021)
Presentation / Conference Contribution
Ali, K., Mehmood, A., & Iqbal, J. (2021, October). Terminal sliding mode control of an anthropomorphic manipulator with friction based observer. Presented at 2021 International Conference on Robotics and Automation in Industry (ICRAI), Rawalpindi, Pakistan

The role of modern control techniques has been instrumental in today’s robotic applications because of their increasing requirements for reliability, accuracy, productivity and repeatability. Robotic manipulators are highly non-linear systems with co... Read More about Terminal sliding mode control of an anthropomorphic manipulator with friction based observer.

NEAT Activity Detection using Smartwatch at Low Sampling Frequency (2021)
Presentation / Conference Contribution
Dewan, A., Gunturi, V. M., Naik, V., & Dutta, K. K. (2021, October). NEAT Activity Detection using Smartwatch at Low Sampling Frequency. Presented at 2021 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People, and Smart City Innovations, SmartWorld/ScalCom/UIC/ATC/IoP/SCI 2021, Atlanta, GA, USA

Our paper aims to build a classification model to discern the typical NEAT (Non-Exercise Activity Thermogenesis) activities done in a home setting. The concept of NEAT is broadly defined as the energy spent in everything which is not sleeping, eating... Read More about NEAT Activity Detection using Smartwatch at Low Sampling Frequency.

Use Case of Building an Indoor Air Quality Monitoring System (2021)
Presentation / Conference Contribution
Kureshi, R. R., Thakker, D., Mishra, B. K., & Ahmed, B. (2021, June). Use Case of Building an Indoor Air Quality Monitoring System. Presented at 7th IEEE World Forum on Internet of Things, WF-IoT 2021, New Orleans, USA

On average, we spend around 90% of the time in indoor environments. Indoor Air Quality (IAQ) has been receiving increased attention from the environmental bodies, local authorities and citizens as it is becoming clearer that poor IAQ has public healt... Read More about Use Case of Building an Indoor Air Quality Monitoring System.

Finite-Time Attitude Control of Uncertain Quadrotor Aircraft via Continuous Terminal Sliding-Mode-Based Active Anti-Disturbance Approach (2021)
Presentation / Conference Contribution
Mechali, O., Iqbal, J., Mechali, A., Xie, X., & Xu, L. (2021, August). Finite-Time Attitude Control of Uncertain Quadrotor Aircraft via Continuous Terminal Sliding-Mode-Based Active Anti-Disturbance Approach. Presented at 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021, Takamatsu, Japan

This research addresses the problem of robust attitude control for a quadrotor operating in an environment polluted with lumped disturbances. A new continuous terminal sliding mode-based active anti-disturbance control (CTSMBAADC) is proposed by inno... Read More about Finite-Time Attitude Control of Uncertain Quadrotor Aircraft via Continuous Terminal Sliding-Mode-Based Active Anti-Disturbance Approach.

Distributed Leader-Follower Formation Control of Quadrotors Swarm Subjected to Disturbances (2021)
Presentation / Conference Contribution
Mechali, O., Iqbal, J., Wang, J., Xie, X., & Xu, L. (2021, August). Distributed Leader-Follower Formation Control of Quadrotors Swarm Subjected to Disturbances. Presented at 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021, Takamatsu, Japan

This paper proposes a novel control scheme for a group of quadrotors aircrafts that form a leader-follower configuration and are subjected to nonlinear behavior with lumped disturbances. For each aircraft, a distributed formation control law is desig... Read More about Distributed Leader-Follower Formation Control of Quadrotors Swarm Subjected to Disturbances.

Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example (2021)
Presentation / Conference Contribution
Mian, Z., Bai, Y., & Ur, R. K. (2022, June). Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example. Presented at 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI), Xinxiang, China

In 2015, North Minzu University (NMU) introduced MOOC teaching method into the teaching practice of computer major. It is the first experiment of this teaching method in Ningxia Hui Autonomous Region. In the three years of teaching practice, NMU has... Read More about Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example.

A Navigation System for Safe Routing (2021)
Presentation / Conference Contribution
Kaur, R., Goyal, V., Gunturi, V. M., Saini, A., Sanadhya, K., Gupta, R., & Ratra, S. (2021, June). A Navigation System for Safe Routing. Presented at International Conference on Mobile Data Management, Toronto, ON, Canada

Globally, women are cautious when planning their routine travel routes. In a recent survey on street harassment, 82% of international respondents reported taking a different route to their destination than the conventional route due to fear of harass... Read More about A Navigation System for Safe Routing.

A TRIANGULATED COMPETENCY FRAMEWORK FOR CONTEMPORARY COMPUTER SCIENCE PROGRAMMES (2021)
Presentation / Conference Contribution
Whelan, J. (2021, July). A TRIANGULATED COMPETENCY FRAMEWORK FOR CONTEMPORARY COMPUTER SCIENCE PROGRAMMES. Presented at 13th International Conference on Education and New Learning Technologies, Online Conference

Aligning student learning to demonstrable, practical competencies is at the heart of the Transforming Programmes process at the University of Hull (UK). This paper reports on the approach created by the Department of Computer Science and Technology (... Read More about A TRIANGULATED COMPETENCY FRAMEWORK FOR CONTEMPORARY COMPUTER SCIENCE PROGRAMMES.

Intelligent Predictive Maintenance Model for Rolling Components of a Machine based on Speed and Vibration (2021)
Presentation / Conference Contribution
Ahmad, B., Mishra, B. K., Ghufran, M., Pervez, Z., & Ramzan, N. (2021, April). Intelligent Predictive Maintenance Model for Rolling Components of a Machine based on Speed and Vibration. Presented at 3rd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2021, Jeju Island, Korea (South)

Machines have come a long way, from the industrial revolution to a modern-day industry 4.0. In this massive transition, one thing that has never changed within a machine is the moving part. Most industries use rotating machine with different load cap... Read More about Intelligent Predictive Maintenance Model for Rolling Components of a Machine based on Speed and Vibration.

Identifying Gaps in Cybersecurity Teaching and Learning (2020)
Presentation / Conference Contribution
Brayshaw, M., Gordon, N., & Karatazgianni, A. (2020, July). Identifying Gaps in Cybersecurity Teaching and Learning. Presented at INSPIRE XXV : e-Learning as a solution during unprecedented times in the 21st Century

This paper explores perceptions and expectations of privacy when using computer-mediated communication and social media. In this paper we present the results of an empirical survey into this topic and explore the pedagogic implications for the teachi... Read More about Identifying Gaps in Cybersecurity Teaching and Learning.

Refining the Teaching of Programming (2020)
Presentation / Conference Contribution
Gordon, N., Cargill, M., Grey, S., & Brayshaw, M. (2020, July). Refining the Teaching of Programming. Presented at INSPIRE XXV: e-Learning as a Solution during Unprecedented Times in the 21st Century, Online

This paper considers issues around the teaching of programming, a critical yet challenging part of the computing education at all levels. This paper begins by outlining some of the key concerns around computing education-from secondary school, throug... Read More about Refining the Teaching of Programming.

Explainable AI for Intelligent Decision Support in Operations & Maintenance of Wind Turbines (2020)
Presentation / Conference Contribution
Chatterjee, J. (2020, August). Explainable AI for Intelligent Decision Support in Operations & Maintenance of Wind Turbines. Presented at 1st Doctoral Consortium at the European Conference on Artificial Intelligence (DC-ECAI 2020), Online

As global efforts in transitioning to sustainable energy sources rise, wind energy has become a leading renewable energy resource. However, turbines are complex engineering systems and rely on effective operations & maintenance (O&M) to prevent catas... Read More about Explainable AI for Intelligent Decision Support in Operations & Maintenance of Wind Turbines.

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease (2020)
Presentation / Conference Contribution
Rana, S. S., Ma, X., Pang, W., & Wolverson, E. (2020, December). A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. Presented at 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Leicester, United Kingdom

Mild cognitive impairment (MCI) has been described as the intermediary stage before Alzheimer's Disease - many people however remain stable or even demonstrate improvement in cognition. Early detection of progressive MCI (pMCI) therefore can be utili... Read More about A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease.

A Model-based RCM Analysis Method (2020)
Presentation / Conference Contribution
Mian, Z., Jia, S., Shi, X., Tang, C., Chen, J., & Gao, Y. (2020, December). A Model-based RCM Analysis Method. Presented at 2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C), Macau, China

The reliability-centered maintenance (RCM) is one of the most advanced maintenance plan generating technologies for equipments. At present, the key technologies such as FMEA and FMECA supporting the RCM analysis remains in the manual stage in some en... Read More about A Model-based RCM Analysis Method.

Deep reinforcement learning for maintenance planning of offshore vessel transfer (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, October). Deep reinforcement learning for maintenance planning of offshore vessel transfer. Presented at 4th International Conference on Renewable Energies Offshore (RENEW 2020), Lisbon, Portugal

Offshore wind farm operators need to make short-term decisions on planning vessel transfers to turbines for preventive or corrective maintenance. These decisions can play a pivotal role in ensuring maintenance actions are carried out in a timely and... Read More about Deep reinforcement learning for maintenance planning of offshore vessel transfer.

Comparative review of pipelines monitoring and leakage detection techniques (2020)
Presentation / Conference Contribution
Aljuaid, K. G., Albuoderman, M. A., Alahmadi, E. A., & Iqbal, J. (2020, October). Comparative review of pipelines monitoring and leakage detection techniques. Presented at 2nd International Conference on Computer and Information Sciences (ICCIS), Sakaka, Saudi Arabia

The oil and gas industry owns expensive and widely-spread assets. Any fault in this complex transportation network may result in accidents and/or huge losses thereby triggering various environmental and economic issues. Thus, real-time monitoring and... Read More about Comparative review of pipelines monitoring and leakage detection techniques.

A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, July). A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. Presented at 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK

© 2020 IEEE. Wind energy is one of the fastest-growing sustainable energy sources in the world but relies crucially on efficient and effective operations and maintenance to generate sufficient amounts of energy and reduce downtime of wind turbines an... Read More about A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines.

Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI. Presented at The Science of Making Torque from Wind (TORQUE 2020), Online, Netherlands

© 2020 Published under licence by IOP Publishing Ltd. Machine learning techniques have been widely used for condition-based monitoring of wind turbines using Supervisory Control & Acquisition (SCADA) data. However, many machine learning models, inclu... Read More about Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI.