Bat-inspired ultrasound 3D imaging system박쥐를 모방한 3차원 초음파 이미징 시스템

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dc.contributor.advisorBae, Hyeon-Min-
dc.contributor.advisor배현민-
dc.contributor.authorHwang, Gunpil-
dc.date.accessioned2021-05-12T19:41:07Z-
dc.date.available2021-05-12T19:41:07Z-
dc.date.issued2020-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=909448&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/284211-
dc.description학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2020.2,[v, 53 p. :]-
dc.description.abstractIn this paper, a bat-inspired high-resolution ultrasound 3D imaging system is presented. Live bats demonstrate that the properly used ultrasound can be used to perceive 3D space. With this in mind, a neural network referred to as a Bat-G network is implemented to reconstruct the 3D representation of target objects from the hyperbolic FM (HFM) chirped ultrasonic echoes. The Bat-G network consists of an encoder emulating a bat's central auditory pathway, and a 3D graphical visualization decoder. For the acquisition of the ultrasound data, a custom-made Bat-I sensor module is used. The Bat-G network shows the uniform 3D reconstruction results and achieves precision, recall, and F1-score of 0.896, 0.899, and 0.895, respectively. The experimental results demonstrate the implementation feasibility of a high-resolution non-optical sound-based imaging system being used by live bats.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectBat▼aUltrasound Imaging▼a3D Imaging▼aArtificial Intelligence (AI)▼aNeural Network▼aDeep Learning-
dc.subject박쥐▼a초음파 이미징▼a3차원 이미징▼a인공지능▼a뉴럴 네트워크▼a딥러닝-
dc.titleBat-inspired ultrasound 3D imaging system-
dc.title.alternative박쥐를 모방한 3차원 초음파 이미징 시스템-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :전기및전자공학부,-
dc.contributor.alternativeauthor황건필-
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EE-Theses_Ph.D.(박사논문)
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