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[해외논문] Deep-learning-based recognition of symbols and texts at an industrially applicable level from images of high-density piping and instrumentation diagrams

Expert systems with applications, v.183, 2021년, pp.115337 -   

Kim, Hyungki (Division of Computer Science and Engineering, Jeonbuk National University) ,  Lee, Wonyong (Division of Computer Science and Engineering, Jeonbuk National University) ,  Kim, Mijoo (Division of Computer Science and Engineering, Jeonbuk National University) ,  Moon, Yoochan (School of Mechanical Engineering, Korea University) ,  Lee, Taekyong (Plant Engineering Center, Institute for Advanced Engineering) ,  Cho, Mincheol (CCLSOFT Co., Ltd.) ,  Mun, Duhwan (School of Mechanical Engineering, Korea University)

Abstract AI-Helper 아이콘AI-Helper

Abstract Piping and instrumentation diagrams (P&IDs) are commonly used in the process industry as a transfer medium for the fundamental design of a plant and for detailed design, purchasing, procurement, construction, and commissioning decisions. The present study proposes a method for symbol and t...

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