H1D8A2031138
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  • Acknowledgement . . . . 7 matches
          * This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (Nos. 2017H1D8A2031138), and the Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (Advanced Training Program for Smart Factory, No. N0002429). It was also supported partially by the BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE) and NRF.
          * 본 연구는 과학기술정보통신부 재원으로 한국연구재단(Nos. 2017H1D8A2031138, 2019R1F1A1064125)과, 산업통상자원부 재원으로 한국산업기술진흥원(스마트공장운영설계전문인력양성사업, N0002429)의 지원으로 수행되었음.
          * This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT) (Nos. 2017H1D8A2031138, 2019R1F1A1064125), and the Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (Advanced Training Program for Smart Factory, No. N0002429).
          * 본 연구는 산업통상자원부 재원으로 한국산업기술평가관리원[조선해양산업핵심기술개발사업, No.20008690]과, 과학기술정보통신부 재원으로 한국연구재단[차세대공학연구자육성사업, No. 2017H1D8A2031138]의 지원을 받아 수행되었음.
          * This work was supported by the Korea Evaluation Institute of Industrial Technology (KEIT) grant funded by the Korean government (MOTIE) (No. 20008690), and the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2017H1D8A2031138).
          * 이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2017H1D8A2031138).
          * This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2017H1D8A2031138).
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