title: ÐÐµÑÐ¾Ð´Ñ Ð¸ ÑÑÐµÐ´ÑÑÐ²Ð° Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ð¹ Ð·Ð° ÑÑÑÑ ÑÑÑÑÐ° Ð²Ð·Ð°Ð¸Ð¼Ð¾ÑÐ²ÑÐ·ÐµÐ¹ Ð¼ÐµÐ¶Ð´Ñ Ð½Ð¸Ð¼Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Improving the accuracy of measurement results by taking into account the relationship between the measured quantities
Creators: name: ÐÐµÑÐ¶Ð±Ð¸ÑÐºÐ¸Ð¹, ÐÐ»Ð°Ð´Ð¸ÑÐ»Ð°Ð²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¾Ð³Ð»Ð°ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ
ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ð¹
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Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ
data reconciliation
accuracy of measurements
numerical and analytical methods
algorithm
mathematical model

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description: The theme of the graduate qualification work: Â«Improving the accuracy of measurement results by taking into account the relationship between the measured quantitiesÂ». This work focuses on reviewing, implementing, and analyzing methods to improve measurement accuracy. The tasks addressed in this research include: 1. Reviewing applicable methods; 2. Designing representative mathematical models; 3. Creating scalable models applicable to data with varying relationships; 4. Analyzing application results. All programs used in this study were developed in Python. As a result of this graduate qualification work, a system was designed and evaluated for its efficiency in improving the accuracy of data measurements with defined relationships. The final software can enhance the accuracy of measurements that are definitively expressible with mathematical equations. For functional enrichment, the program incorporates methods for finding absolute, relative, and weighted minimum corrections. Its processing speed allows it to handle statistically significant amounts of data.