• Acknowledgement . . . . 7 matches
        * 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).
        * 이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2019R1F1A1064125).
        * This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1F1A1064125).
        * 이 논문은 과학기술정보통신부의 재원으로 한국연구재단(No. 2019R1F1A1064125)과, 산업통상자원부의 재원으로 한국산업기술진흥원(스마트공장 운영설계 전문인력 양성사업, N0002429)의 지원을 받아 수행된 연구임.
        * This work was supported by the National Research Foundation of Korea(NRF) grant of MSIT (No. 2019R1F1A1064125) and the Advanced Training Program for Smart Factory of MOTIE/KIAT (No. N0002429).
        * This work was supported by the Advanced Training Program for Smart Factory of MOTIE/KIAT (No. N0002429) and the National Research Foundation of Korea (NRF) grant of MSIT (No. 2019R1F1A1064125).

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