• Title/Summary/Keyword: Deep-Learning Neural Network Moddls and Frameworks

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A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts' Visual Knowledge in Smart Factories (고숙련자 공장작업지식 자산화를 위한 CCTV-동영상 객체능동화의 개념적 아키텍처와 실험적 검증)

  • Eun-Bi Cho;Dinh-Lam Pham;Kyung-Hee Sun;Kwanghoon Pio Kim
    • Journal of Internet Computing and Services
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    • v.25 no.2
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    • pp.101-111
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    • 2024
  • In this paper, we propose a concpetual architecture and its implementation approach for contextualizing unstructured CCTV-video frame data into structured XML-video textual data by using the deep-learning neural network models and frameworks. Conclusively, through the conceptual architecture and the implementation approach proposed in this paper, we can eventually realize and implement the so-called sharable working and experiencing knowledge management platforms to be adopted to smart factories in various industries.