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Effects of Uncertainty Markers on Metacognitive Group Awareness and Regulation (2022)
Conference Proceeding
Radtke, A., & Schnaubert, L. (2022). Effects of Uncertainty Markers on Metacognitive Group Awareness and Regulation. In C. Chinn, E. Tan, C. Chan, & Y. Kali (Eds.), Proceedings of the 16th International Conference on the Learning Sciences - ICLS 2022 (274-281)

Social platforms provide a vast amount of resources for sharing, discussing, and searching for information. Thereby, learners need to monitor their understanding to metacognitively regulate their learning. Awareness of peers' metacognitions can affec... Read More about Effects of Uncertainty Markers on Metacognitive Group Awareness and Regulation.

New Physical Insight into Landslide-Tsunamis Using Non-Linear Wave Decomposition (2022)
Conference Proceeding
Constance, B., & Heller, V. (2022). New Physical Insight into Landslide-Tsunamis Using Non-Linear Wave Decomposition. In Proceedings of the 39th IAHR World Congress (Granada, 2022) (6234-6243). https://doi.org/10.3850/IAHR-39WC2521711920221094

Potentially devastating tsunamis are generated by landslides impacting into water bodies. Such subaerial landslide-tsunamis are typically predicted with empirical equations, which, however, fail to appropriately capture some of the underlying physics... Read More about New Physical Insight into Landslide-Tsunamis Using Non-Linear Wave Decomposition.

Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development (2022)
Conference Proceeding
Barral, Y. S. H., Polonchuk, L., R. Mirams, G., Clerx, M., Page, G., Sweat, K., …Gavaghan, D. J. (2022). Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development. In Computing in Cardiology 2022. https://doi.org/10.22489/cinc.2022.356

In silico models of cardiomyocyte electrophysiology describe the various ionic currents and fluxes that lead to the formation of action potentials (APs). Experimental data used to create such models can be recorded in adult human cardiac trabeculae u... Read More about Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development.

Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current (2022)
Conference Proceeding
Agrawal, A., Clerx, M., Wang, K., Polonchuk, L., Gavaghan, D. J., & Mirams, G. R. (2022). Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current. In 2022 Computing in Cardiology (CinC). https://doi.org/10.22489/CinC.2022.051

The L-type calcium current (ICaL) is a key current of the heart playing an important role in the contraction of the cardiomyocyte. Patch-clamp recordings of ionic currents can be associated with a reduction of the current magnitude with time (termed... Read More about Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current.

Bundle entropy as an optimized measure of consumers' systematic product choice combinations in mass transactional data (2022)
Conference Proceeding
Mansilla, R., Smith, G., Smith, A., & Goulding, J. (2022). Bundle entropy as an optimized measure of consumers' systematic product choice combinations in mass transactional data. In Proceedings 2022 IEEE International Conference on Big Data (1044-1053). https://doi.org/10.1109/BigData55660.2022.10021062

Understanding and measuring the predictability of consumer purchasing (basket) behaviour is of significant value. While predictability measures such as entropy have been well studied and leveraged in other sectors, their development and application t... Read More about Bundle entropy as an optimized measure of consumers' systematic product choice combinations in mass transactional data.

Performance Analysis of Complex Vector Discrete Current Controller for High-Speed Permanent Magnet Machines (2022)
Conference Proceeding
Diab, A. M., Aboelhassan, A., Wang, S., Guo, F., Yeoh, S. S., Bozhko, S., …Galea, M. (2022). Performance Analysis of Complex Vector Discrete Current Controller for High-Speed Permanent Magnet Machines. In Proceedings of IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) (590-595). https://doi.org/10.1109/ICIEA54703.2022.10005975

Discrete synchronous reference frame proportional integral Current Controller (CC) delivers superior control performance for high-speed drives due to its ability to accurately compensate for cross-coupling terms. Complete compensation can only be ach... Read More about Performance Analysis of Complex Vector Discrete Current Controller for High-Speed Permanent Magnet Machines.

Analysis of Using a Thermoelectric Module for Power Electronics Cooling (2022)
Conference Proceeding
Abubakar, A., Klumpner, C., & Wheeler, P. (2022). Analysis of Using a Thermoelectric Module for Power Electronics Cooling. In 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON) (909-914). https://doi.org/10.1109/oncon56984.2022.10126992

This paper aims to develop a PLECS equivalent circuit of a thermoelectric module to be used in power electronics cooling applications. The proposed model is built using elements from the PLECS thermal model block-set. To test this, a resistive c dev... Read More about Analysis of Using a Thermoelectric Module for Power Electronics Cooling.

Self-configuration of a Robotic Platform to support a self-organized Manufacturing Process (2022)
Conference Proceeding
Jimenez, L. A. E., Sanderson, D., Chaplin, J. C., & Barata, J. (2022). Self-configuration of a Robotic Platform to support a self-organized Manufacturing Process. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/IECON49645.2022.9968868

Self-configuration in manufacturing is a key trend to generate adaptable production systems. Different product requirements need different machine settings and continuous software update. Existing approaches usually assume that manufacturing resource... Read More about Self-configuration of a Robotic Platform to support a self-organized Manufacturing Process.

Adjoint-aided inference of Gaussian process driven differential equations (2022)
Conference Proceeding
Gahungu, P., Lanyon, C. W., Álvarez, M. A., Smith, M. T., & Wilkinson, R. D. (2022). Adjoint-aided inference of Gaussian process driven differential equations. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Linear systems occur throughout engineering and the sciences, most notably as differential equations. In many cases the forcing function for the system is unknown, and interest lies in using noisy observations of the system to infer the forcing, as w... Read More about Adjoint-aided inference of Gaussian process driven differential equations.

AC/DC Converter Topologies Comparison for More Electric Aircraft Applications (2022)
Conference Proceeding
Khera, F. A., Gerada, C., Bozhko, S., & Wheeler, P. W. (2022). AC/DC Converter Topologies Comparison for More Electric Aircraft Applications. In 2022 IEEE 7th Southern Power Electronics Conference (SPEC). https://doi.org/10.1109/SPEC55080.2022.10058465

This paper compares the potential AC/DC power converter topologies that are appropriate for medium voltage and medium/high power aircraft applications. The power converter's rated power and the DC distribution voltage level in this application assume... Read More about AC/DC Converter Topologies Comparison for More Electric Aircraft Applications.

Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems (2022)
Conference Proceeding
Chamberlain, A., Benford, S., Fischer, J., Barnard, P., Greenhalgh, C., Row Farr, J., …Adams, M. (2022). Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems. In ACI '22: Proceedings of the Ninth International Conference on Animal-Computer Interaction. https://doi.org/10.1145/3565995.3566046

From cat feeders and cat flaps to robot toys, humans are deploying increasingly autonomous systems to look after their pets. In parallel, industry is developing the next generation of autonomous systems to look after humans in the home – most notably... Read More about Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems.

A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion (2022)
Conference Proceeding
Alqahtani, S., Zhu, Y., Shi, Q., Meng, X., & Wang, X. (2022). A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion. In 2022 International Conference on Field-Programmable Technology (ICFPT). https://doi.org/10.1109/ICFPT56656.2022.9974569

This paper introduces an efficient and customizable FPGA-based architecture for parallel matrix inversion. The capability of the proposed customizable architecture to adapt to different matrix sizes with low latency and effective resource utilization... Read More about A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion.

Towards Idea Mining: Problem-Solution Phrase Extraction fromText (2022)
Conference Proceeding
Liu, H., Brailsford, T., Goulding, J., Maul, T., Tan, T., & Chaudhuri, D. (2022). Towards Idea Mining: Problem-Solution Phrase Extraction fromText. In Advanced Data Mining and Applications 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022: Proceedings, Part II (3-14). https://doi.org/10.1007/978-3-031-22137-8_1

This paper investigates the feasibility of problem-solution phrases extraction from scientific publications using neural network approaches. Bidirectional Long Short-Term Memory with Conditional Random Fields (Bi-LSTM-CRFs) and Bidirectional Encoder... Read More about Towards Idea Mining: Problem-Solution Phrase Extraction fromText.

Artificial Intelligence Systems, Responsibility and Agential Self-Awareness (2022)
Conference Proceeding
Farina, L. (2022). Artificial Intelligence Systems, Responsibility and Agential Self-Awareness. In V. C. Müller (Ed.), Philosophy and Theory of Artificial Intelligence 2021 (15-25). https://doi.org/10.1007/978-3-031-09153-7_2

This paper investigates the claim that artificial Intelligence Systems cannot be held morally responsible because they do not have an ability for agential self-awareness e.g. they cannot be aware that they are the agents of an action. The main sugges... Read More about Artificial Intelligence Systems, Responsibility and Agential Self-Awareness.

Glass Fibre Insulated Wire Assessment Under Partial Discharges Activity via Dielectric Dissipation Factor Measurements (2022)
Conference Proceeding
Naderiallaf, H., Giangrande, P., & Galea, M. (2022). Glass Fibre Insulated Wire Assessment Under Partial Discharges Activity via Dielectric Dissipation Factor Measurements. In 2022 9th International Conference on Condition Monitoring and Diagnosis (CMD 2022) (98-102). https://doi.org/10.23919/CMD54214.2022.9991482

This experimental study evaluates the ageing rate associated with partial discharges (PD) activity for a Type-II insulated wire (i.e., Glass fibre), relying on the dielectric dissipation factor (DDF) and capacitance tip-up measurements. The employed... Read More about Glass Fibre Insulated Wire Assessment Under Partial Discharges Activity via Dielectric Dissipation Factor Measurements.

Transmission Line Modelling of an Eccentrically Loaded probe Coupled Cylindrical Cavity (2022)
Conference Proceeding
Jokovic, J., Dimitrijevic, T., Atanaskovic, A., Doncov, N., Altinozen, E., Vukovic, A., & Sewell, P. (2022). Transmission Line Modelling of an Eccentrically Loaded probe Coupled Cylindrical Cavity. In 2022 XIV International Symposium on Industrial Electronics and Applications (INDEL 2022) (37-40). https://doi.org/10.1109/INDEL55690.2022.9965465

In this paper, numerical Transmission Line-Matrix (TLM) method is applied to model an eccentrically loaded cylindrical cavity in order to analyze an impact of the eccentricity on the resonant frequency values. Two different types of meshes are consid... Read More about Transmission Line Modelling of an Eccentrically Loaded probe Coupled Cylindrical Cavity.

On the 3C-SiC/SiO2 n-MOS interface and the creation of a calibrated model for the Electrons' Inversion Layer Mobility covering a wide range of operating temperatures and applied gate voltage (2022)
Conference Proceeding
Lophitis, N., Arvanitopoulos, A., Jennings, M. R., Mawby, P. A., & Antoniou, M. (2022). On the 3C-SiC/SiO2 n-MOS interface and the creation of a calibrated model for the Electrons' Inversion Layer Mobility covering a wide range of operating temperatures and applied gate voltage. In 2022 IEEE Workshop on Wide Bandgap Power Devices and Applications in Europe (WiPDA Europe). https://doi.org/10.1109/WiPDAEurope55971.2022.9936319

Cubic (3C-) silicon carbide (SiC) metal oxide semiconductor (MOS) devices have the potential to achieve superior performance and reliability. The effective channel mobility can be significantly higher compared to other SiC polytypes due to the smalle... Read More about On the 3C-SiC/SiO2 n-MOS interface and the creation of a calibrated model for the Electrons' Inversion Layer Mobility covering a wide range of operating temperatures and applied gate voltage.

Protecting privacy in microgrids using federated learning and deep reinforcement learning (2022)
Conference Proceeding
Chen, W., Sun, H., Jiang, J., You, M., & Piper, W. J. (2022). Protecting privacy in microgrids using federated learning and deep reinforcement learning.

This paper aims to improve the energy management efficiency of home microgrids while preserving privacy. The proposed microgrid model includes energy storage systems, PV panels, loads, and the connection to the main grid. A federated multi-objective... Read More about Protecting privacy in microgrids using federated learning and deep reinforcement learning.