All Outputs (843)

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.

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., Logantha, S. J. R., Wilson, C., Anderson, C., Ariyaratnam, J., Stuart, L., Nakao, S., Abd Allah, E., Jones, S., Lancaster, M., Stephenson, R., Chandler, N., Smith, M., Bussey, C., Monfredi, O., …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.

A new data-enabled intelligence framework for evaluating urban space perception (2021)
Journal Article
Ji, H., Qing, L., Han, L., Wang, Z., Cheng, Y., & Peng, Y. (2021). A new data-enabled intelligence framework for evaluating urban space perception. ISPRS International Journal of Geo-Information, 10(6), https://doi.org/10.3390/ijgi10060400

The urban environment has a great impact on the wellbeing of citizens and it is of great significance to understand how citizens perceive and evaluate places in a large scale urban region and to provide scientific evidence to support human-centered u... Read More about A new data-enabled intelligence framework for evaluating urban space perception.

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). 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.

A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular Networks (2021)
Journal Article
Kazmi, S. M., Dang, T. N., Yaqoob, I., Manzoor, A., Hussain, R., Khan, A., Hong, C. S., & Salah, K. (2022). A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23(7), 8380-8395. https://doi.org/10.1109/TITS.2021.3078913

The proliferation of compute-intensive services in next-generation vehicular networks will impose an unprecedented computation demand to meet stringent latency and resource requirements. Vehicular edge or fog computing has been a widely adopted solut... Read More about A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular Networks.

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.

Using citizen science to complement IoT data collection: a survey of motivational and engagement factors in technology-centric citizen science projects (2021)
Journal Article
Ali, M. U., Mishra, B. K., Thakker, D., Mazumdar, S., & Simpson, S. (2021). Using citizen science to complement IoT data collection: a survey of motivational and engagement factors in technology-centric citizen science projects. IoT, 2(2), 275--309. https://doi.org/10.3390/iot2020015

A key aspect of the development of Smart Cities involves the efficient and effective management of resources to improve liveability. Achieving this requires large volumes of sensors strategically deployed across urban areas. In many cases, however, i... Read More about Using citizen science to complement IoT data collection: a survey of motivational and engagement factors in technology-centric citizen science projects.

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.

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.

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.

Deep learning with knowledge graphs for fine-grained emotion classification in text (2021)
Thesis
Schoene, A. M. Deep learning with knowledge graphs for fine-grained emotion classification in text. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4223160

This PhD thesis investigates two key challenges in the area of fine-grained emotion detection in textual data. More specifically, this work focuses on (i) the accurate classification of emotion in tweets and (ii) improving the learning of representat... Read More about Deep learning with knowledge graphs for fine-grained emotion classification in text.

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.

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.

Design, analysis and implementation of a smart next generation secure shipping infrastructure using autonomous robot (2021)
Journal Article
Yang, J., Gope, P., Cheng, Y., & Sun, L. (2021). Design, analysis and implementation of a smart next generation secure shipping infrastructure using autonomous robot. Computer Networks, 187, https://doi.org/10.1016/j.comnet.2020.107779

In general, price is the key element in shipping, and half of the costs are tied up in last-mile deliveries. The biggest expense here is the human element, so companies, which can cut down on staff costs, will be able to out-price their competitors.... Read More about Design, analysis and implementation of a smart next generation secure shipping infrastructure using autonomous robot.

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.