DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Joungho | - |
dc.contributor.advisor | 김정호 | - |
dc.contributor.author | Hong, Seokwoo | - |
dc.date.accessioned | 2023-06-23T19:33:35Z | - |
dc.date.available | 2023-06-23T19:33:35Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1007868&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/309078 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2022.8,[iii, 44 p. :] | - |
dc.description.abstract | In the WPT system, the coupling coefficient between the Tx and Rx coil is an important design variable. In the case of cochlear implants, however, the coupling coefficient of the WPT system may change due to individual body differences. Therefore, the coupling coefficient-insensitivity is very important design issue at the cochlear implant WPT system. In this paper, I propose a stagger tuning method of a cochlear implant WPT system. The proposed method makes the cochlear implant WPT system stable at the link gain regardless of the coupling coefficient. In addition, the design method can be optimized with consideration of the power transfer efficiency (PTE) of the WPT system. I verified the proposed method using the reinforcement learning based optimal design model. Through the proposed Soft Actor Critic (SAC) based RL model, the cochlear implant WPT system was optimized in the dynamic design environment. In addition, it was confirmed that the proposed SAC algorithm shows significantly better performance compared to other optimization methods like the Proximal Policy Optimization (PPO) and Bayesian Optimization (BO). | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Cochlear implant▼aWireless power transfer▼aArtificial intelligence▼aReinforcement learning▼aSystem efficiency▼aBandwidth | - |
dc.subject | 인공와우▼a무선 전력 전송▼a인공지능▼a강화학습▼a시스템 효율▼a대역폭 | - |
dc.title | Soft actor-critic based design of cochlear implant wireless power transfer system for high efficiency and wide data bandwidth | - |
dc.title.alternative | 높은 효율과 넓은 데이터 대역폭을 위한 강화학습 기반의 인공와우 무선 전력 전송 시스템 디자인 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | 홍석우 | - |
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