Skip to main content

Research Repository

Advanced Search

All Outputs (631)

PCG signals for biometric authentication systems: An in-depth review (2021)
Journal Article
El-Dahshan, E. S. A., Bassiouni, M. M., Sharvia, S., & Salem, A. B. M. (2021). PCG signals for biometric authentication systems: An in-depth review. Computer Science Review, 41, Article 100420. https://doi.org/10.1016/j.cosrev.2021.100420

This review aims to present a survey of the technologies and methodologies used in the phonocardiogram (PCG) biometric systems. The phases used in the PCG which are explored in this paper include data acquisition, de-noising, extracting PCG peaks, fe... Read More about PCG signals for biometric authentication systems: An in-depth review.

Msb r‐cnn: A multi‐stage balanced defect detection network (2021)
Journal Article
Xu, Z., Lan, S., Yang, Z., Cao, J., Wu, Z., & Cheng, Y. (2021). Msb r‐cnn: A multi‐stage balanced defect detection network. Electronics, 10(16), Article 1924. https://doi.org/10.3390/electronics10161924

Deep learning networks are applied for defect detection, among which Cascade R‐CNN is a multi‐stage object detection network and is state of the art in terms of accuracy and efficiency. However, it is still a challenge for Cascade R‐CNN to deal with... Read More about Msb r‐cnn: A multi‐stage balanced defect detection network.

Finite-Time Attitude Control of Uncertain Quadrotor Aircraft via Continuous Terminal Sliding-Mode-Based Active Anti-Disturbance Approach (2021)
Conference Proceeding
Mechali, O., Iqbal, J., Mechali, A., Xie, X., & Xu, L. (2021). Finite-Time Attitude Control of Uncertain Quadrotor Aircraft via Continuous Terminal Sliding-Mode-Based Active Anti-Disturbance Approach. In IEEE International Conference on Mechatronics and Automation, ICMA 2021 (1170-1175). https://doi.org/10.1109/ICMA52036.2021.9512751

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)
Conference Proceeding
Mechali, O., Iqbal, J., Wang, J., Xie, X., & Xu, L. (2021). Distributed Leader-Follower Formation Control of Quadrotors Swarm Subjected to Disturbances. In 2021 IEEE International Conference on Mechatronics and Automation (1442-1447). https://doi.org/10.1109/ICMA52036.2021.9512623

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.

A permanent Pivot to online learning, or will universities bounce back to normal? (2021)
Journal Article
Gordon, N. (2021). A permanent Pivot to online learning, or will universities bounce back to normal?. Academia Letters, 1-6. https://doi.org/10.20935/al2394

The Coronavirus pandemic has had a profound impact on how universities (higher or tertiary education) globally have taught students, throughout 2020 and into 2021. The response to the Coronavirus pandemic saw a mass pivot towards online learning in m... Read More about A permanent Pivot to online learning, or will universities bounce back to normal?.

Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example (2021)
Conference Proceeding
Mian, Z., Bai, Y., & Ur, R. K. (2021). Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example. In IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI) (300-306). https://doi.org/10.1109/CSEI51395.2021.9477751

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.

Regulation of sinus node pacemaking and atrioventricular node conduction by HCN channels in health and disease (2021)
Journal Article
Boyett, M. R., Yanni, J., Tellez, J., Bucchi, A., Mesirca, P., Cai, X., …D'Souza, A. (in press). Regulation of sinus node pacemaking and atrioventricular node conduction by HCN channels in health and disease. Progress in Biophysics and Molecular Biology, https://doi.org/10.1016/j.pbiomolbio.2021.06.008

The funny current, If, was first recorded in the heart 40 or more years ago by Dario DiFrancesco and others. Since then, we have learnt that If plays an important role in pacemaking in the sinus node, the innate pacemaker of the heart, and more recen... Read More about Regulation of sinus node pacemaking and atrioventricular node conduction by HCN channels in health and disease.

Dependability Analysis Using Temporal Fault Trees and Monte Carlo Simulation (2021)
Book Chapter
Edifor, E., Gordon, N., & Walker, M. (2021). Dependability Analysis Using Temporal Fault Trees and Monte Carlo Simulation. In W. Zamojski, J. Mazurkiewicz, J. Sugier, T. Walkowiak, & J. Kacprzyk (Eds.), Theory and Engineering of Dependable Computer Systems and Networks (86-96). Cham: Springer. https://doi.org/10.1007/978-3-030-76773-0_9

The safety and reliability of high-consequence systems is an issue of utmost importance to engineers because such systems can have catastrophic effects if they fail. Fault Tree Analysis (FTA) is a well-known probabilistic technique for assessing the... Read More about Dependability Analysis Using Temporal Fault Trees and Monte Carlo Simulation.

UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control (2021)
Journal Article
Ullah, N., Mehmood, Y., Aslam, J., Ali, A., & Iqbal, J. (2021). UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control. IEEE Access, 9, 74385-74405. https://doi.org/10.1109/ACCESS.2021.3081483

Leader follower formation of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) has found numerous applications such as surveillance of critical infrastructure, industrial automation and disaster management emergency. For completion... Read More about UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control.

Robust Finite-Time Trajectory Tracking Control of Quadrotor Aircraft via Terminal Sliding Mode-Based Active Antidisturbance Approach: A PIL Experiment (2021)
Journal Article
Mechali, O., Iqbal, J., Xie, X., Xu, L., & Senouci, A. (2021). Robust Finite-Time Trajectory Tracking Control of Quadrotor Aircraft via Terminal Sliding Mode-Based Active Antidisturbance Approach: A PIL Experiment. International Journal of Aerospace Engineering, 2021, Article 5522379. https://doi.org/10.1155/2021/5522379

This paper presents an accurate solution of finite-time Cartesian trajectory tracking control problem of a quadrotor system by designing and implementing a novel robust flight-control algorithm. The quadrotor is subject to nonlinearities, unmodeled d... Read More about Robust Finite-Time Trajectory Tracking Control of Quadrotor Aircraft via Terminal Sliding Mode-Based Active Antidisturbance Approach: A PIL Experiment.

The United Nations Sustainable Development Goals: a setting for Professional and Research skills (2021)
Journal Article
Dixon, J., & Gordon, N. A. (2021). The United Nations Sustainable Development Goals: a setting for Professional and Research skills. New Directions in the Teaching of Physical Sciences, 16(1), https://doi.org/10.29311/ndtps.v0i16.3660

This paper considers the use of the United Nations global goals to provide a framework for the teaching of professional and related skills. The main example and case study considered in this paper is from computing; however, much of the approach and... Read More about The United Nations Sustainable Development Goals: a setting for Professional and Research skills.

Intelligent Predictive Maintenance Model for Rolling Components of a Machine based on Speed and Vibration (2021)
Conference Proceeding
Ahmad, B., Mishra, B. K., Ghufran, M., Pervez, Z., & Ramzan, N. (2021). Intelligent Predictive Maintenance Model for Rolling Components of a Machine based on Speed and Vibration. In 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (459-464). https://doi.org/10.1109/ICAIIC51459.2021.9415249

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.

Effect of treatment planning system parameters on beam modulation complexity for treatment plans with single-layer multi-leaf collimator and dual-layer stacked multi-leaf collimator (2021)
Journal Article
Quintero, P., Cheng, Y., Benoit, D., Moore, C., & Beavis, A. (2021). Effect of treatment planning system parameters on beam modulation complexity for treatment plans with single-layer multi-leaf collimator and dual-layer stacked multi-leaf collimator. British Journal of Radiology, 94(1122), Article 20201011. https://doi.org/10.1259/bjr.20201011

OBJECTIVE: High levels of beam modulation complexity (MC) and monitor units (MU) can compromise the plan deliverability of intensity-modulated radiotherapy treatments. Our study evaluates the effect of three treatment planning system (TPS) parameters... Read More about Effect of treatment planning system parameters on beam modulation complexity for treatment plans with single-layer multi-leaf collimator and dual-layer stacked multi-leaf collimator.

System architecture of a proactive intelligent system to monitor health of older adults living alone (2021)
Journal Article
Al-Mejibli, I., Al-Majeed, S., Karam, J., Iqbal, J., Adolfo, C. M., & Yalung, C. (2021). System architecture of a proactive intelligent system to monitor health of older adults living alone. International Journal of Computing and Digital Systems, 10(1), 509-517. https://doi.org/10.12785/IJCDS/100149

Worldwide improvements in the quality of life highlight immense need to have a remote health monitoring system that can provide critical biomedical data. This paper presents a low-cost health monitoring system, forming part of the Internet of Things... Read More about System architecture of a proactive intelligent system to monitor health of older adults living alone.

Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems (2021)
Journal Article
Aslansefat, K., Kabir, S., Abdullatif, A., Vasudevan Nair, V., & Papadopoulos, Y. (in press). Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. Computer,

The application of artificial intelligence (AI) and data-driven decision-making systems in autonomous vehicles is growing rapidly. As autonomous vehicles operate in dynamic environments, the risk that they can face an unknown observation is relativel... Read More about Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems.

SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning (2021)
Journal Article
Tan, J., Yang, Z., Cheng, Y., Ye, J., Wang, B., & Dai, Q. (2021). SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning. Pattern Recognition, 117, Article 107987. https://doi.org/10.1016/j.patcog.2021.107987

Sparse representation and cooperative learning are two representative technologies in the field of multi-view spectral clustering. The former can effectively extract features of multiple views by the removal of redundant information contained in each... Read More about SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning.

Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future (2021)
Journal Article
Chatterjee, J., & Dethlefs, N. (2021). Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future. Renewable & sustainable energy reviews, 144, Article 111051. https://doi.org/10.1016/j.rser.2021.111051

Wind energy has emerged as a highly promising source of renewable energy in recent times. However, wind turbines regularly suffer from operational inconsistencies, leading to significant costs and challenges in operations and maintenance (O&M). Condi... Read More about Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future.

A new perspective on teaching the natural exponential to engineering students (2021)
Journal Article
Ullah, M., Aman, M. N., Wolkenhauer, O., & Iqbal, J. (2021). A new perspective on teaching the natural exponential to engineering students. International Journal of Mathematical Education in Science and Technology, https://doi.org/10.1080/0020739X.2021.1896812

The natural exponential and logarithm are typically introduced to undergraduate engineering students in a calculus course using the notion of limits. We here present an approach to introduce the natural exponential/logarithm through a novel interpret... Read More about A new perspective on teaching the natural exponential to engineering students.

XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines (2021)
Journal Article
Chatterjee, J., & Dethlefs, N. XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines. https://doi.org/10.48550/arXiv.2012.10489. Manuscript submitted for publication

Condition-based monitoring (CBM) has been widely utilised in the wind industry for monitoring operational inconsistencies and failures in turbines, with techniques ranging from signal processing and vibration analysis to artificial intelligence (AI)... Read More about XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines.

Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes (2021)
Journal Article
Schoene, A. M., Turner, A. P., De Mel, G., & Dethlefs, N. (in press). Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes. IEEE Transactions on Affective Computing, https://doi.org/10.1109/TAFFC.2021.3057105

Recent statistics in suicide prevention show that people are increasingly posting their last words online and with the unprecedented availability of textual data from social media platforms researchers have the opportunity to analyse such data. Furth... Read More about Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes.