Air-Gapped Current Transformer simulation and accuracy assessment (2022)
Conference Proceeding
Ceron-Oliver, L., Wang, Q., & Zeze, D. (2022). Air-Gapped Current Transformer simulation and accuracy assessment. . https://doi.org/10.1109/melecon53508.2022.9843105

The implementation of smart grids makes it necessary to have reliable and efficient measuring devices. Current sensors used for metering purposes in the grid must be accurate enough to overcome new challenges that power networks face such as injectio... Read More about Air-Gapped Current Transformer simulation and accuracy assessment.

Enhanced Methods for Evolution in-Materio Processors (2022)
Conference Proceeding
Jones, B. A., Al Moubayed, N., Zeze, D. A., & Groves, C. (2022). Enhanced Methods for Evolution in-Materio Processors. . https://doi.org/10.1109/icrc53822.2021.00026

Evolution-in-Materio (EiM) is an unconventional computing paradigm, which uses an Evolutionary Algorithm (EA) to configure a material's parameters so that it can perform a computational task. While EiM processors show promise, slow manufacturing and... Read More about Enhanced Methods for Evolution in-Materio Processors.