인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Cho (綃) is plain silk fabric woven with untreated raw silk. In the Joseon dynasty, cho was used as the background cloth material of kings’ portraits. The making of kings’ portraits was a national ritual; sometimes a temporary government state agency was established for the occasion, with the procedure recorded in detail in uigwe (The Royal Protocols of the Joseon Dynasty), which are still available. In this study, we examine the various names for cho used in the portraits of kings through uigwe and the Joseon dynasty annals and deepen our understanding of the looms and craftsmen for its weaving. The cho used as the background fabric for kings’ portraits was given various names, according to the era. The length and width were measured and recorded based on the pobaeck-cheok(布帛尺), a ruler used for tailoring clothes or measuring fabrics in the Joseon dynasty. After determining the actual quantity of cho that was used in the production and converting it to the unit of measurement (cm) currently used, it was possible to get a better idea of the width and length of the portraits. As a result, one can observe that the width of the portraits diminished noticeably proceeding into the modern era. We decided to investigate the looms of Japan and China instead that were used around the same time. Records of looms with a different structure were found in the Japanese “GiJikHwiPyeon(機織彙編)” of 1868 and Chinese “PyeonMinDoChan (便民圖纂)” of the Ming dynasty. Through these examples of Japan and China, we suspect that there were looms with similar structures in the Joseon dynasty. In the list of artisans who participated in making kings’ portraits, there is a record of cho artisans (綃匠). The names of the artisans recorded vary and we can speculate that broad cho was an extraordinarily superior fabric weaved by masters with the finest techniques.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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