Search results

  1. 1.
    0580661 - ÚVGZ 2024 RIV CZ cze L4 - Software
    Březina, J. - Chalas, J. - Polák, P. - Červený, Jan
    Mikrořasová digitální platforma.
    [Microalgal digital platform.]
    Internal code: Mikrořasová digitální platforma ; 2023
    Technical parameters: Digitální platforma optimALga pro sdílení (analýzu a interpretaci) dat v oblasti mikrořasových technologií
    Economic parameters: Rozšíření produktového portfolia příjemce, navýšení tržeb a zisku
    R&D Projects: GA MPO(CZ) EG21_374/0026534
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : data science * database * quality control, * data retention, * predictive maintenance
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://www.optimalga.com/
    Permanent Link: https://hdl.handle.net/11104/0349424
     
     
  2. 2.
    0577993 - ÚGN 2024 RIV CZ eng L4 - Software
    Březina, J. - Stebel, J. - Exner, P. - Špetlík, M. - Sysala, Stanislav - Bérešová, Simona - Horák, David - Kružík, Jakub
    Software Endorse 1.0.
    Internal code: Software Endorse 1.0 ; 2022
    Technical parameters: The software implements specialized safety calculations for the excavation disturbed zone (EDZ) of a deep repository of radioactive waste. It consists of two parts: determination of the rock parameters using the Bayesian inversion stochastic prediction of the contamination transport and safety indicator evaluation It essentially use the simulator Flow123d of processes in fractured rocks.
    Economic parameters: The software implements specialized safety calculations for the excavation disturbed zone (EDZ) of a deep repository of radioactive waste.
    R&D Projects: GA TA ČR(CZ) TK02010118
    Institutional support: RVO:68145535
    Keywords : excavation damage zone * stochastic simulation * DFN * safety case
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://github.com/GeoMop/Endorse
    Permanent Link: https://hdl.handle.net/11104/0348076
     
     


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