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    Tytuł:
    Embryonic Architecture with Built-in Self-test and GA Evolved Configuration Data
    Autorzy:
    Malhotra, Gayatri
    Duraiswamy, Punithavathi
    Kishore, J.K.
    Powiązania:
    https://bibliotekanauki.pl/articles/27311869.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    embryonic
    BIST
    Self-test
    Genetic Algorithm
    Cartesian Genetic Programming
    Opis:
    The embryonic architecture, which draws inspiration from the biological process of ontogeny, has built-in mechanisms for self-repair. The entire genome is stored in the embryonic cells, allowing the data to be replicated in healthy cells in the event of a single cell failure in the embryonic fabric. A specially designed genetic algorithm (GA) is used to evolve the configuration information for embryonic cells. Any failed embryonic cell must be indicated via the proposed Built-in Selftest (BIST) the module of the embryonic fabric. This paper recommends an effective centralized BIST design for a novel embryonic fabric. Every embryonic cell is scanned by the proposed BIST in case the self-test mode is activated. The centralized BIST design uses less hardware than if it were integrated into each embryonic cell. To reduce the size of the data, the genome or configuration data of each embryonic cell is decoded using Cartesian Genetic Programming (CGP). The GA is tested for the 1-bit adder and 2-bit comparator circuits that are implemented in the embryonic cell. Fault detection is possible at every function of the cell due to the BIST module’s design. The CGP format can also offer gate-level fault detection. Customized GA and BIST are combined with the novel embryonic architecture. In the embryonic cell, self-repair is accomplished via data scrubbing for transient errors.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 2; 211--217
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Computer-assisted assessment of ovarian echotexture parameters in mares following changes after ovulation determined by ultrasonography
    Autorzy:
    Akkus, T.
    Korkmaz, Ö.
    Emre, B.
    Zonturlu, A.K.
    Yaprakci, Ö.
    Powiązania:
    https://bibliotekanauki.pl/articles/16625259.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    computer-aided analysis program
    embryonic death
    mare
    ovarian echotexture
    ovulation
    pregnancy
    Opis:
    This study was carried out to determine the time-dependent changes in the ultrasonographic image of the ovary with computer-assisted analysis programs at certain intervals after ovulation and to determine whether computer-assisted analysis programs and ovulation programs can be managed in cases where the ovulation time is unknown. The study included 40 purebred Arab mares. The study was subdivided into 4 different time periods of 6 (Group 1), 12 (Group 2), 18 (Group 3) and 24 (Group 4) hours following ovulation. In addition, after ovulation and ultrasonographic examination, natural insemination was performed at 6, 12, 18 and 24 hours, and pregnancy examination and follow-up were performed at 15-30-45 days. In the echotexture analysis, mean grayness value (MGV) and contrast (CON) measurements were at different levels according to the time groups (p<0.001). Homogeneity (HOM) measurements were at different levels according to the time groups (p<0.001). A very strong, significant negative correlation was determined between MGV and pregnancy rates (r=-0.91, p=0.01, p<0.05). No significant relationship was observed between HOM values and pregnancy rates (r=0.19, p=0.23, p>0.05). A very strong, significant negative correlation was determined between CON and pregnancy rates (r=-0.92, p=0.01, p<0.05). It was concluded that the use of ultrasonographic echotexture in mares after ovulation provided very important information. In cases where the time of ovulation was not known, by looking at the values of echotexture parameters, it was seen that the highest pregnancy rates were at the 6th hour and the lowest pregnancy rates were at the 24th hour. As the echotexture parameters MGV and CON increased, it was determined that pregnancy rates decreased, but there was no relationship between them and the HOM value.
    Źródło:
    Polish Journal of Veterinary Sciences; 2022, 25, 4; 525-533
    1505-1773
    Pojawia się w:
    Polish Journal of Veterinary Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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