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All Outputs (139)

Numerical Investigation of Impulse Waves Impacting on Dams (2022)
Conference Proceeding
Attili, T., Heller, V., & Triantafyllou, S. (2022). Numerical Investigation of Impulse Waves Impacting on Dams. In Proceedings of the 39th IAHR World Congress (Granada, 2022) (2222-2229). https://doi.org/10.3850/IAHR-39WC252171192022107

Impulse waves are generated by landslides, rockfalls and iceberg calving in water bodies such as lakes and reservoirs. These waves represent a persistent danger for dams, e.g. in the 1963 Vajont disaster an impulse wave impacted and overtopped the Va... Read More about Numerical Investigation of Impulse Waves Impacting on Dams.

Numerical Investigation of Landslide-Tsunamis Generated by Different Mass Movement Types (2022)
Conference Proceeding
Liu, J., Heller, V., & Wang, Y. (2022). Numerical Investigation of Landslide-Tsunamis Generated by Different Mass Movement Types. In Proceedings of the 39th IAHR World Congress (Granada, 2022) (4148-4157). https://doi.org/10.3850/IAHR-39WC2521716X20221680

Landslide-tsunamis, also called impulse waves, are generated by mass movements, such as landslides, rock falls or iceberg calving, impacting into a water body. Past cases such as the Vajont landslide-tsunami event, which caused approximately 2000 cas... Read More about Numerical Investigation of Landslide-Tsunamis Generated by Different Mass Movement Types.

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.

Numerical Investigation of Waves Interacting with Rigid and Flexible Plates (2022)
Conference Proceeding
Attili, T., Heller, V., & Triantafyllou, S. (2022). Numerical Investigation of Waves Interacting with Rigid and Flexible Plates. In Proceedings of the 39th IAHR World Congress (Granada, 2022) (4438-4447). https://doi.org/10.3850/IAHR-39WC252171192022912

The physics governing the impact of waves on coastal structures, referred to as wave-structure interaction (WSI), pose a serious challenge for a range of coastal applications such as oil and gas rigs, offshore wind turbine platforms, breakwaters, flo... Read More about Numerical Investigation of Waves Interacting with Rigid and Flexible Plates.

Analytical and Numerical Study of Novel Scaling Laws for Air-Water Flows (2022)
Conference Proceeding
Catucci, D., Briganti, R., & Heller, V. (2022). Analytical and Numerical Study of Novel Scaling Laws for Air-Water Flows. In Proceedings of the 39th IAHR World Congress (Granada, 2022) (4551-4560). https://doi.org/10.3850/IAHR-39WC252171192022202

Physical modelling in the laboratory is widely used for hydraulic investigations. Froude similarity results in significant scale effects in small models for flows involving air-entrainment. Such air-water flows are essential for many hydraulic applic... Read More about Analytical and Numerical Study of Novel Scaling Laws for Air-Water Flows.

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.

Interplay between group awareness and internal scripts: How information about knowledge and controversies triggers the activation of problem-solving script components (2022)
Conference Proceeding
Schnaubert, L., Lichte, A., & Vogel, F. (2022). Interplay between group awareness and internal scripts: How information about knowledge and controversies triggers the activation of problem-solving script components. In A. Weinberger, W. Chen, D. Hernández-Leo, & B. Chen (Eds.), 15th International Conference on Computer - Supported Collaborative Learning (CSCL) 2022 - CSCL Proceeding (399-402)

Collaboration scripts and group awareness are two prominent factors for beneficial learning processes in CSCL. However, research mostly focuses on each factor independently. To inquire their mutual interaction, we investigate how different types of g... Read More about Interplay between group awareness and internal scripts: How information about knowledge and controversies triggers the activation of problem-solving script components.

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.

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.

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.

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.

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.