Echolocation Signal Detection From Captive Dolphin Using Whistles Sound

M. Lubis, S. Pujiyati, W. Anurogo, M. Kirana, H. Kausarian, S. Antoni
{"title":"Echolocation Signal Detection From Captive Dolphin Using Whistles Sound","authors":"M. Lubis, S. Pujiyati, W. Anurogo, M. Kirana, H. Kausarian, S. Antoni","doi":"10.1109/INCAE.2018.8579365","DOIUrl":null,"url":null,"abstract":"There is little information about the detection of signals made on dolphins by detecting whistle sounds that serve as an echolocation on dolphins. Bottlenose dolphins (Tursiops aduncus) will be able to receive sound waves with a frequency range of 15 kHz to 150 kHz. The purpose of this research was to analyze the signal detection of whistle sound aimed at communication manipulation. This research is done with the location at Ocean Dream Ocean, Ancol. Indonesia on May 10, 2016. The method of the filter in this study using Band Pass Filter (BPF) with cut off 0–12 kHz. The results of signal detection on dolphin whistle Interval Interval at the time before meals and after meals have the different maximum time span of each other with time 630 ms and 650 ms. At the whistle sound interval after meals more shows a significantly greater difference with whistle 2 at 196.66 ms duration and before meals with whistle 4 at 12 ms duration. Source level (SL) produced at the time before the meal has the highest value on whistle sound 3 (range 15900 Hz-16100 Hz) at 33.6 dB intensity, while at the after the meal on whistle sound 4 (range 17800 Hz - 185 00 Hz on intensity 33.62 dB.","PeriodicalId":387859,"journal":{"name":"2018 International Conference on Applied Engineering (ICAE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Applied Engineering (ICAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCAE.2018.8579365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

There is little information about the detection of signals made on dolphins by detecting whistle sounds that serve as an echolocation on dolphins. Bottlenose dolphins (Tursiops aduncus) will be able to receive sound waves with a frequency range of 15 kHz to 150 kHz. The purpose of this research was to analyze the signal detection of whistle sound aimed at communication manipulation. This research is done with the location at Ocean Dream Ocean, Ancol. Indonesia on May 10, 2016. The method of the filter in this study using Band Pass Filter (BPF) with cut off 0–12 kHz. The results of signal detection on dolphin whistle Interval Interval at the time before meals and after meals have the different maximum time span of each other with time 630 ms and 650 ms. At the whistle sound interval after meals more shows a significantly greater difference with whistle 2 at 196.66 ms duration and before meals with whistle 4 at 12 ms duration. Source level (SL) produced at the time before the meal has the highest value on whistle sound 3 (range 15900 Hz-16100 Hz) at 33.6 dB intensity, while at the after the meal on whistle sound 4 (range 17800 Hz - 185 00 Hz on intensity 33.62 dB.
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
利用哨声探测圈养海豚的回声定位信号
关于通过检测哨声来检测海豚发出的信号的信息很少,哨声可以作为海豚的回声定位。宽吻海豚(Tursiops aduncus)将能够接收频率范围为15千赫至150千赫的声波。本研究的目的是分析以通讯操纵为目的的口哨声信号检测。本研究是在安科勒的Ocean Dream Ocean进行的。2016年5月10日,印度尼西亚。本研究的滤波器方法采用带通滤波器(BPF),截止频率为0-12 kHz。海豚口哨声信号检测结果表明,餐前和餐后时间间隔的最大时间跨度不同,分别为630 ms和650 ms。在哨声间隔,餐后哨声2的持续时间为196.66 ms,餐前哨声4的持续时间为12 ms,二者差异显著。餐前产生的源电平(SL)在哨声3(范围15900 Hz-16100 Hz)上的值最高,强度为33.6 dB,而在餐后产生的哨声4(范围17800 Hz- 18500 Hz,强度为33.62 dB)。
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
An Integrated Comparative Approach to Estimating Forest Aboveground Carbon Stock Using Advanced Remote Sensing Technologies Introduction to Modest Object Detection Method of Barelang-FC Soccer Robot Trigonometry Algorithm for Ball Heading Prediction of Barelang-FC Goal Keeper Personalized Clinical Pathway for Heart Failure Management Goal Detection and Opponent Avoidance Algorithm for Wheeled Robot Soccer using Color Filtering and Contour Extraction
×
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