首页|Study Results from Jazan University Broaden Understanding of Artificial Intellig ence (Human factors engineering simulated analysis in administrative, operationa l and maintenance loops of nuclear reactor control unit using artificial ...)

Study Results from Jazan University Broaden Understanding of Artificial Intellig ence (Human factors engineering simulated analysis in administrative, operationa l and maintenance loops of nuclear reactor control unit using artificial ...)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on artificial intelligence is now ava ilable. According to news originating from Jazan, Saudi Arabia, by NewsRx corres pondents, research stated, "The nuclear reactor control unit employs human facto r engineering to ensure efficient operations and prevent any catastrophic incide nts. This sector is of utmost importance for public safety."Funders for this research include Jazan University. Our news journalists obtained a quote from the research from Jazan University: " This study focuses on simulated analysis of specific areas of nuclear reactor co ntrol, specifically administration, operation, and maintenance, using artificial intelligence software. The investigation yields effective artificial intelligen ce algorithms that capture the essential and non-essential components of numerou s parameters to be monitored in nuclear reactor control. The investigation furth er examines the interdependencies between various parameters and validates the s tatistical outputs of the model through attribution analysis. Furthermore, a Mul tivariant ANOVA analysis is conducted to identify the interactive plots and mean plots of crucial parameters interactions. The artificial intelligence algorithm s demonstrate the correlation between the number of vacant staff jobs and both t he frequency of license event reports each year and the ratio of contract employ ees to regular employees in the administrative domain. An AI method uncovers the relationships between the operator failing rate (OFR), operator processed error s (OEE), and operations at limited time frames (OLC)."

Jazan UniversityJazanSaudi ArabiaAlgorithmsArtificial IntelligenceCyborgsEmerging TechnologiesEngineerin gMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.27)