{"title":"测量不确定度通用报告程序的制定","authors":"S. Hwang, J. Woo, Thomas Byeongnam Yoon","doi":"10.23919/ICACT.2019.8701940","DOIUrl":null,"url":null,"abstract":"A computer program, named Uncertainty-Bot, has been developed for calculating and reporting measurement uncertainty. In order to satisfy the conditions requested by GUM, the authentic reference guide, we have included several statistical calculation steps and printing procedures for the uncertainty report. The program included fundamental steps such as follows; 1) editing steps for mathematical model equation of measurand, 2) steps for standard uncertainty of assigned probability density function (PDF) of each input quantity 3) steps for combined standard uncertainty with uncertainty propagation using partial derivative of each input quantity, 4) steps for extended uncertainty interval with statistical confidence level, 5) printing steps after evaluation and calculating measurement uncertainty. Including these fundamental steps, we included the calculation step of uncertainty which appears in the calibration curve using linear regression method. In the step, the standard uncertainty is calculated in the measurement incorporated by 1st order to 5th order linear regression method. In addition to describing the feature of the program, here, we presented two examples of uncertainty evaluation; one for simple comparison process of measurement, another for including 1st order linear regression process. All the results were confirmed and validated by separate procedure of calculation using Microsoft Excel.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a General Reporting Program for Measurement Uncertainty\",\"authors\":\"S. Hwang, J. Woo, Thomas Byeongnam Yoon\",\"doi\":\"10.23919/ICACT.2019.8701940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A computer program, named Uncertainty-Bot, has been developed for calculating and reporting measurement uncertainty. In order to satisfy the conditions requested by GUM, the authentic reference guide, we have included several statistical calculation steps and printing procedures for the uncertainty report. The program included fundamental steps such as follows; 1) editing steps for mathematical model equation of measurand, 2) steps for standard uncertainty of assigned probability density function (PDF) of each input quantity 3) steps for combined standard uncertainty with uncertainty propagation using partial derivative of each input quantity, 4) steps for extended uncertainty interval with statistical confidence level, 5) printing steps after evaluation and calculating measurement uncertainty. Including these fundamental steps, we included the calculation step of uncertainty which appears in the calibration curve using linear regression method. In the step, the standard uncertainty is calculated in the measurement incorporated by 1st order to 5th order linear regression method. In addition to describing the feature of the program, here, we presented two examples of uncertainty evaluation; one for simple comparison process of measurement, another for including 1st order linear regression process. All the results were confirmed and validated by separate procedure of calculation using Microsoft Excel.\",\"PeriodicalId\":226261,\"journal\":{\"name\":\"2019 21st International Conference on Advanced Communication Technology (ICACT)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 21st International Conference on Advanced Communication Technology (ICACT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICACT.2019.8701940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 21st International Conference on Advanced Communication Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT.2019.8701940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a General Reporting Program for Measurement Uncertainty
A computer program, named Uncertainty-Bot, has been developed for calculating and reporting measurement uncertainty. In order to satisfy the conditions requested by GUM, the authentic reference guide, we have included several statistical calculation steps and printing procedures for the uncertainty report. The program included fundamental steps such as follows; 1) editing steps for mathematical model equation of measurand, 2) steps for standard uncertainty of assigned probability density function (PDF) of each input quantity 3) steps for combined standard uncertainty with uncertainty propagation using partial derivative of each input quantity, 4) steps for extended uncertainty interval with statistical confidence level, 5) printing steps after evaluation and calculating measurement uncertainty. Including these fundamental steps, we included the calculation step of uncertainty which appears in the calibration curve using linear regression method. In the step, the standard uncertainty is calculated in the measurement incorporated by 1st order to 5th order linear regression method. In addition to describing the feature of the program, here, we presented two examples of uncertainty evaluation; one for simple comparison process of measurement, another for including 1st order linear regression process. All the results were confirmed and validated by separate procedure of calculation using Microsoft Excel.