Evaluation of undersea position estimation using curved surfaces generated by machine learning

Shinnosuke Sakaya, Masaharu Takahashi
{"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}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用机器学习生成的曲面评估海底位置
在本研究中,我们研究了一种利用电磁波作为潜水员在海上救援中的辅助技术的水下位置估计算法。我们提出了一种算法,通过使用机器学习生成的表面来估计发射天线在海上的位置。在本文中,我们将所提出的算法与我们之前研究的水下位置估计算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analysis Results of Single-Layered Reflectarray Antenna with Split Rectangular Loop Elements Very-Low-Profile, Dual-Polarized Oblong Loop Estimation Accuracy of an AOA Antenna in Rice Propagation Environment Using OTA Apparatus Probe-fed Wideband Planar Phased Array Antenna Element Using Stacked Rectangular and U-slot Patches in Low Vertical Profile 28 GHz 6-sector dual-polarized antenna for indoor base station
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1