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The architecture of nanosatellite module for FPGA-based cosmic radiation sensing with artificial intelligence

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dc.contributor.author SECRIERU, Nicolae
dc.contributor.author CARBUNE, Viorel
dc.contributor.author ZADOROJNEAC, Tudor
dc.contributor.author MELNIC, Vladimir
dc.contributor.author IVANOVICI, Mihai
dc.contributor.author POPA, Stefan
dc.contributor.author KAZAK, Artur
dc.date.accessioned 2024-12-07T15:48:09Z
dc.date.available 2024-12-07T15:48:09Z
dc.date.issued 2024
dc.identifier.citation The architecture of nanosatellite module for FPGA-based cosmic radiation sensing with artificial intelligence en_US
dc.identifier.isbn 978-9975-64-480-8
dc.identifier.uri http://repository.utm.md/handle/5014/28758
dc.description Only Abstract en_US
dc.description.abstract This paper is devoted to the study of cosmic radiation and its effects on electronics, as well as ways to measure it in order to help the idealization of the proposed cosmic radiation sensing satellite module architecture depicted. This module contains two types of standard radiation sensors, an FPGA device and several individual semiconductor memories. The FPGA device contains arrays of radiation sensing elements based on its internal memories while the external memories complement/extend this capability. The module includes an AI model for the classification and realtime analysis of the cosmic radiation-induced fault patterns. This intelligent module could be employed for adjusting and optimizing the radiation tolerance of satellite electronic systems. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.relation.ispartofseries Electronics, Communications and Computing (IC ECCO-2024): 13th intern. conf., 17-18 Oct. 2024;
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject cosmic radiation sensor en_US
dc.subject satellite module en_US
dc.subject artificial intelligence en_US
dc.title The architecture of nanosatellite module for FPGA-based cosmic radiation sensing with artificial intelligence en_US
dc.type Article en_US


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  • 2024
    The 13th International Conference on Electronics, Communications and Computing (IC ECCO-2024)

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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