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    题名: 印刷業數位轉型：以燙金錯誤偵測為例
    The Digital Transformation In The Printing Industry: Take Hot Foil Stamping Defects Recognition As An Example
    作者: 邱千泰
    CHIU, CHIEN-TAI
    贡献者: 謝明華
    邱千泰
    CHIU, CHIEN-TAI
    关键词: 數位轉型
    卷積神經網路模型
    印刷業
    日期: 2022
    上传时间: 2022-03-01 16:43:31 (UTC+8)
    摘要: 在本文章中，探討了現今印刷業所面臨的挑戰，包含了消費習慣改變導致印刷需求下降等等。這些挑戰迫使著印刷業進行數位轉型。其中藉由光學儀器與機器學習辨識印刷及燙金錯誤成為了一個可能的轉型方向，可以降低人力成本的花費，同時也能幫助減少管理問題。在數位轉型的方法中，以機器學習作為數位轉型的工具成為了常見的數位轉型方法。在這些機器學習方法中，卷積神經網路是較為適合用於圖像辨識的模型，也能夠用於各種分類問題上。本文以燙金業為例，探討卷積神經網路應用於燙金錯誤辨識所面臨的議題。
    參考文獻: Ali, O., Ally, M., & Dwivedi, Y. (2020). The state of play of blockchain technology in the financial services sector: A systematic literature review. International Journal of Information Management, 54, 102–199.
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    描述: 碩士
    國立政治大學
    經營管理碩士學程(EMBA)
    105932007
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0105932007
    数据类型: thesis
    DOI: 10.6814/NCCU202200322
    显示于类别:[經營管理碩士學程EMBA] 學位論文

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