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Categorytrue1Nagy, KristofInternet of Birds (IoB): Song Based Bird Sensing via Machine Learning in the Cloud : How to sense, identify, classify birds based on their songs?9278714927871442020How to sense a bird? How to recognize, identify, classify birds? When to involve a "virtual" bird of prey to protect agricultural goods from real birds (game damage)? A machine learning / deep learning (ML/DL), two-level cloud-based sensor network has been implemented to protect agricultural goods from certain bird attacks or attacks by other animals with specific sounds/songs/noises. The background noise will be neglected via the teaching process. The accuracy (lower ratio of both false negative and false positive cases) will be drastically decreased via our two phase network agile - solution. In the first phase, the sensor module placed in the field decides whether there is any likelihood of a critical bird being there, or there is certainty about no bird being around the sensor. This phase relies on a rather simple pre-filtering that is compatible with the limited resources of the sensor module. Then, if there is a certain likelihood of the sought bird, the song - or at least some sound snippets of it - is sent via a radio link, a gateway, and the Internet to a cloud based software unit that performs ML based reliable recognition. This is the second, much more accurate, much more reliable, however, much more computationally intense phase. Once the bird is detected, some actions can be triggered (e.g., playing a bid of prey song, or firing an alarm) remotely from the cloud.true2021truetruetruetruetruefalseNONE2025-12-30false11011101910106101099101011101110044FolyóiratcikkJournal Article249KönyvrészletChapter in Book252KönyvBook230Egyéb konferenciaközleményConference paper310Egyéb konferenciakötetConference proceedings320Oltalmi formákProtection forms260DisszertációThesis280EgyébMiscellaneous290AlkotásAchievement220Kutatási adatResearch data330FolyóiratcikkJournal Article24000KönyvrészletChapter in Book25000KönyvBook23000Egyéb konferenciaközleményConference paper31000Egyéb konferenciakötetConference proceedings32000Oltalmi formákProtection forms26000DisszertációThesis28000EgyébMiscellaneous29000AlkotásAchievement22000Kutatási adatResearch data33000202103333202203232202301111202403333202500000falsefalsefalsefalse2021-06-10T21:28:11.102+0000Távközlési és Médiainformatikai Tanszék (BME / VIK)39140truetrue10002English
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<div class="BookChapter Publication short-list"> <div class="authors"> <span class="author-name" > Nagy, Kristof </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10000211"> <a href="/gui2/?type=authors&mode=browse&sel=10000211" target="_blank">Cinkler, Tibor</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10030436"> <a href="/gui2/?type=authors&mode=browse&sel=10030436" target="_blank">Simon, Csaba</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10000693"> <a href="/gui2/?type=authors&mode=browse&sel=10000693" target="_blank">Vida, Rolland</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;31914732" mtid="31914732" target="_blank">Internet of Birds (IoB): Song Based Bird Sensing via Machine Learning in the Cloud : How to sense, identify, classify birds based on their songs?</a></div> <div class="InBook">In: IEEE (eds.) <span class="booktitle"><a href="/gui2/?mode=browse¶ms=publication;31848912" target="_blank">2020 IEEE Sensors, SENSORS 2020 </a></span > </div><div class="pub-info"> <span class="publishedAt">Piscataway (NJ), United States of America : <span class="publisher">IEEE</span> <span class="year">(2020)</span> <span class="page"> Paper: 9278714 , 4 p. </span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SENSORS47125.2020.9278714" target="_blank" href="https://doi.org/10.1109/SENSORS47125.2020.9278714"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000646236300142" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000646236300142"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85098698060" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85098698060"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://ieeexplore.ieee.org/document/9278714/" target="_blank" href="https://ieeexplore.ieee.org/document/9278714/"> Other URL </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Publication:31914732 </span> <span class="status-holder"><span class="status-data status-ADMIN_APPROVED"> Admin approved </span></span> <span class="pub-core">Core Citing </span> <span class="pub-type">Chapter in Book (Conference paper ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Scientific</span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 11</span> | Independent citation: 10 | Self citation: 1 | Unknown citation: 0 | Number of citations in WoS: 10 | Number of citations in Scopus: 6 | WoS/Scopus assigned: 10 | Number of citations with DOI: 10 </div> </div> </div> </div><div class="BookChapter Publication long-list">
<div class="authors">
<img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png">
<img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png">
<div class="autype autype0"> <span class="author-name" >Nagy Kristof
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<span class="author-affil"><span title="Budapest University of Technology and Economics">BUTE</span>/<span title="Faculty of Electrical Engineering and Informatics">FEEI</span>/Department of Telecommunications and Media Informatics</span>
;
<span class="author-name" mtid="10030436"><a
href="/gui2/?type=authors&mode=browse&sel=10030436" target="_blank">Simon Csaba
(<span class="authorship-author-name">Simon Csaba</span>
<span class="authorAux-mtmt"> Informatikai tudományok</span>)
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<span class="author-affil"><span title="Budapest University of Technology and Economics">BUTE</span>/<span title="Faculty of Electrical Engineering and Informatics">FEEI</span>/Department of Telecommunications and Media Informatics</span>
;
<span class="author-name" mtid="10000693"><a
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<span class="authorAux-mtmt"> Számítógép hálózatok</span>)
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<span class="author-affil"><span title="Budapest University of Technology and Economics">BUTE</span>/<span title="Faculty of Electrical Engineering and Informatics">FEEI</span>/Department of Telecommunications and Media Informatics</span>
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<div class="title"><a href="/gui2/?mode=browse¶ms=publication;31914732" target="_blank">Internet of Birds (IoB): Song Based Bird Sensing via Machine Learning in the Cloud : How to sense, identify, classify birds based on their songs?</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors">
<div class="autype autype-1"> <span class="author-affil">IEEE</span>
(eds.) </div>
</div>
<div class="booktitle"><a href="/gui2/?mode=browse¶ms=publication;31848912" target="_blank">2020 IEEE Sensors, SENSORS 2020 </a></div>
<div class="conference">
Conference:
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<span class="conference-date">2020.10.25.
-
2020.10.28.</span>
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<span class="publishedAt">Piscataway (NJ):
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Paper 9278714.
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(
<span class="seriesTitle">Proceedings - IEEE Sensors</span>
<span class="issn">1930-0395</span>
<span class="seriesVolume">; 2020-October</span>)
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<span class="isbnOrIssn"> ISBN: </span>
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<div class="publication-citation" style="margin-left: 0.5cm;">
<span title="" class="citingPub-count">Citing papers: 11</span>
| Independent citation: 10
| Self citation: 1
| Unknown citation: 0
| Number of citations in WoS: 10
| Number of citations in Scopus: 6
| WoS/Scopus assigned: 10
| Number of citations with DOI: 10
</div>
<div class="publication-citation">
<a target="_blank" href="/api/publication?cond=citations.related;eq;31914732&sort=publishedYear,desc&sort=title">
Number of cited publications: 4
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<div class="mtid"><span class="long-pub-mtid">Publication: 31914732</span>
| <span class="status-data status-ADMIN_APPROVED"> Admin approved
</span>
<span class="long-book-mtid">Book: 31848912</span>
Core Citing
| <span class="type-subtype">Chapter in Book
( Conference paper
)
</span>
| <span class="pub-category">Scientific</span>
| <span class="publication-sourceOfData">kézi felvitel</span>
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<div class="lastModified">Last Modified: 2022.04.06. 16:26 Katalin Andódy (BME admin4)
</div>
<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Funding Agency and Grant Number: Ericsson -BME 5G joint research and cooperation projectEricsson; National Research, Development and Innovation Office, HungaryNational Research, Development & Innovation Office (NRDIO) - Hungary [2018-1.3.1VKE-2018-00005]
Funding text: This work has been supported by the Ericsson -BME 5G joint research and cooperation project, partly funded by the Na...</pre>
</div>
</div>