DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Bae, Hyeon-Min | - |
dc.contributor.advisor | 배현민 | - |
dc.contributor.author | Hwang, Gunpil | - |
dc.date.accessioned | 2021-05-12T19:41:07Z | - |
dc.date.available | 2021-05-12T19:41:07Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=909448&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/284211 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2020.2,[v, 53 p. :] | - |
dc.description.abstract | In 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.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Bat▼aUltrasound Imaging▼a3D Imaging▼aArtificial Intelligence (AI)▼aNeural Network▼aDeep Learning | - |
dc.subject | 박쥐▼a초음파 이미징▼a3차원 이미징▼a인공지능▼a뉴럴 네트워크▼a딥러닝 | - |
dc.title | Bat-inspired ultrasound 3D imaging system | - |
dc.title.alternative | 박쥐를 모방한 3차원 초음파 이미징 시스템 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | 황건필 | - |
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