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Seungyoung Ahn

As seen in: Nature, IEEE Spectrum, MDPI
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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Seungyoung Ahn, Namwoo Kang, Dongryul Park
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Low-frequency ionic-electronic coupling for energy-efficient noise-resilient wireless bioelectronics

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By Ji Kim, Haerim Kim, Jaewon Rhee, Joo Sung Kim, Hanbin Choi, Won Choi, Jong Kim, Seungyoung Ahn, Hwan Keun Kim, Yoseph Park
| Nature Verified
Abstract Wireless bioelectronics demand transduction strategies that are simultaneously sensitive, noise-resilient, and biologically safe. Conventional wireless sensors typically rely on dielectric capacitors with inherently low capacitance, necessitating operation at MHz frequencies. Such high-frequency coupling often introduces electromagnetic interference, tissue heating, and degraded signal fidelity in biological environments.
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Selection of Ferrite Depending on Permeability and Weight to Enhance Power Transfer Efficiency in Low-Power Wireless Power Transfer Systems

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By Jaewon Rhee, Seongho Woo, Changmin Lee, Seungyoung Ahn
| MDPI
1. Introduction Recently, various wearable devices have been developed to enhance user convenience, becoming increasingly miniaturized. Due to diverse applications, users must charge each device with different cables, leading to a growing interest in wireless power transfer (WPT) technology to maximize user convenience.
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