{"title":"利用机器学习生成的曲面评估海底位置","authors":"Shinnosuke Sakaya, Masaharu Takahashi","doi":"10.1109/iWEM52897.2022.9993552","DOIUrl":null,"url":null,"abstract":"In this study, we investigate an undersea position estimation algorithm using electromagnetic waves as an assistive technology for divers during sea rescue. We have proposed an algorithm to estimate the position of a transmitting antenna in the sea by using surfaces generated by machine-learning. In this paper, we compare our proposed algorithm with the undersea position estimation algorithms conducted in our previous study.","PeriodicalId":433151,"journal":{"name":"2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of undersea position estimation using curved surfaces generated by machine learning\",\"authors\":\"Shinnosuke Sakaya, Masaharu Takahashi\",\"doi\":\"10.1109/iWEM52897.2022.9993552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we investigate an undersea position estimation algorithm using electromagnetic waves as an assistive technology for divers during sea rescue. We have proposed an algorithm to estimate the position of a transmitting antenna in the sea by using surfaces generated by machine-learning. In this paper, we compare our proposed algorithm with the undersea position estimation algorithms conducted in our previous study.\",\"PeriodicalId\":433151,\"journal\":{\"name\":\"2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iWEM52897.2022.9993552\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iWEM52897.2022.9993552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of undersea position estimation using curved surfaces generated by machine learning
In this study, we investigate an undersea position estimation algorithm using electromagnetic waves as an assistive technology for divers during sea rescue. We have proposed an algorithm to estimate the position of a transmitting antenna in the sea by using surfaces generated by machine-learning. In this paper, we compare our proposed algorithm with the undersea position estimation algorithms conducted in our previous study.
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