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Korean J. Met. Mater.
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Korean Journal of Metals and Materials
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인공지능을 기반으로 한 대면적 CNT 기반 촉각 센서의 실시간 위치 탐색 연구
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조민영, 김성훈, 김지식
Korean J. Met. Mater.
2022;60(10):793-799. Published online 2022 Sep 29
DOI:
https://doi.org/10.3365/KJMM.2022.60.10.793
Abstract
For medical device and artificial skin applications, etc., large-area tactile sensors have attracted strong interest as a key technology. However, only complex and expensive manufacturing methods such as fine pattern alignment technology have been considered. To replace the existing smart sensor, which has to go through a complicated process, a.....
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Web of Science 2
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인공 신경망을 이용한 구오스테나이트 결정립계의 재구성 및 크기 예측
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김봉규, 구남훈, 이종혁, 한준현
Korean J. Met. Mater.
2020;58(12):822-829. Published online 2020 Dec 4
DOI:
https://doi.org/10.3365/KJMM.2020.58.12.822
Abstract
To automatically reconstruct the prior austenite grains from as-quenched martensitic structure, we applied a deep learning algorithm to recognize the prior austenite grains boundaries hidden in the martensitic matrix. The FC-DenseNet architecture based on FCN (fully convolutional networks) was used to train the martensite and ground truth label of the.....
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Web of Science 4
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화상인식을 이용한 Al-Si 주조용 합금의 화학조성 예측
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정상준, 황인규, 조인성, 김희수
Korean J. Met. Mater.
2019;57(3):184-192. Published online 2019 Feb 14
DOI:
https://doi.org/10.3365/KJMM.2019.57.3.184
Abstract
In this study, we analyzed the chemical composition of Al-Si cast alloys from microstructural images, using image recognition and machine learning. Binary Al-Si alloys of Si = 1~10 wt% were cast and prepared as reference images in the dataset used for machine learning. The machine learning procedure was constructed with.....
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Web of Science 9
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