인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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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.
학술저널
Full-text
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
This research examines embroidery panels of Hwarot belonging to the Victoria and Albert Museum (the V&A). There are a total of seven objects and are all disassembled into clothe pieces. They were classified into two groups according to their acquisition year. One group, four objects, was acquired by the Museum in 1920. Considering their materials, embroidery threads, techniques and formative characteristics of patterns, it can be assumed that the objects formed an original dress, Hwarot. Although they look very similar to the embroidery patterns of Hwarot belonging to National Folklore Museum of Korea, they are more finely embroidered with very thin embroidery thread that uses the Jarisu technique. There are some differences in used embroidery threads and embroidery skills between Hwarot artifacts of the National Museum of Korea and the V&A. The embroidery of the National Museum of Korea used thicker threads and longer (approximately 0.7cm) Jarisu stitch techniques. With these details, they would have been made in different time periods. Comparison of the V&A and Changdeok Palace’ Hwarot objects show that their patterns’ motifs are almost similar but the pattern units, expressions and embroidery techniques are different. Regarding the colors of their patterns, it is noticeable that the peonies are generally expressed in reddish and the lotus patterns are expressed in either bluish or purplish color. It seems that they are contrasted with red-colored flowers and show harmony between yin and yang symbolically. Three artifacts of another group were acquired in 1925. Two of them show patterns almost the same as those of the sleeves of Hwarot (no.33156, no.33158) in Chicago Field Museum collection. The pattern of the remaining object is very similar to Hansam of Hwarot (no.33158).
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2017-381-000745729