{"title":"一种基于机器学习的电磁场分布测量方法","authors":"Ken Sato, Y. Kamimura","doi":"10.1109/EMCEUROPE48519.2020.9245683","DOIUrl":null,"url":null,"abstract":"In this paper, the improvement of the visualization method of the electromagnetic field distribution using a simple meter is described. Visualization is important to correctly understand the biological effects from electromagnetic fields. In this study, it is possible to measure more easily by using a simple meter instead of the conventional high-performance meter. In addition, a method has been proposed in which the measurement position, which used to be an IR marker or depth sensor until now, can be measured more easily by using object detection by machine-learning. Furthermore, user-friendly measurement is possible by correcting the deviation due to the scanning angle of the magnetic field sensor using machine-learning.","PeriodicalId":332251,"journal":{"name":"2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Simple Measurement Method of Electromagnetic Field Distribution using Machine-Learning\",\"authors\":\"Ken Sato, Y. Kamimura\",\"doi\":\"10.1109/EMCEUROPE48519.2020.9245683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the improvement of the visualization method of the electromagnetic field distribution using a simple meter is described. Visualization is important to correctly understand the biological effects from electromagnetic fields. In this study, it is possible to measure more easily by using a simple meter instead of the conventional high-performance meter. In addition, a method has been proposed in which the measurement position, which used to be an IR marker or depth sensor until now, can be measured more easily by using object detection by machine-learning. Furthermore, user-friendly measurement is possible by correcting the deviation due to the scanning angle of the magnetic field sensor using machine-learning.\",\"PeriodicalId\":332251,\"journal\":{\"name\":\"2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE\",\"volume\":\"111 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMCEUROPE48519.2020.9245683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMCEUROPE48519.2020.9245683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Simple Measurement Method of Electromagnetic Field Distribution using Machine-Learning
In this paper, the improvement of the visualization method of the electromagnetic field distribution using a simple meter is described. Visualization is important to correctly understand the biological effects from electromagnetic fields. In this study, it is possible to measure more easily by using a simple meter instead of the conventional high-performance meter. In addition, a method has been proposed in which the measurement position, which used to be an IR marker or depth sensor until now, can be measured more easily by using object detection by machine-learning. Furthermore, user-friendly measurement is possible by correcting the deviation due to the scanning angle of the magnetic field sensor using machine-learning.