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머신러닝을 활용한 냉간압조용 선재의 다중 분류 및 지능형 매칭 시스템 개발
이근원 ( K. W. Lee ),이동건 ( D. K. Lee ),권영준 ( Y. J. Kwon ),조기훈 ( K. H¸ Cho ),박성수 ( S. S. Park ),조기섭 ( K. S. Cho ) 한국열처리공학회 2023 熱處理工學會誌 Vol.36 No.2
In this study, we present a system for identifying equivalent grades of standardized wire rod steel based on alloy composition using machine learning techniques. The system comprises two models, one based on a supervised multi-class classification algorithm and the other based on unsupervised autoencoder algorithm. Our evaluation showed that the supervised model exhibited superior performance in terms of prediction stability and reliability of prediction results. This system provides a useful tool for non-experts seeking similar grades of steel based on alloy composition. (Received January 11, 2023; Revised March 14, 2023; Accepted March 20, 2023)
남지우,김동욱,배미영,박강순,김정현,노상률,최영일,김희종,장동욱,최소명,권영준,Hikita, S.,Yu, C.,Yoshimura, Y.,Kichimi, H. 성균관대학교 기초과학연구소 1998 論文集 Vol.49 No.-
We investigated the properties of BELLE Time Of Flight(TOF) counter using the data taken in Jan 98 beam test at Pi2 beam line at KEK 12 GeV proton synchrotron. Charge distributions from readout PMT were analysed in comparison with dE/dx distributions predicted by GEANT full simulation. Experimental setup of the beam test is described, then procedures of data analysis, Monte Carlo simulation and analysis results are also described.