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琴地樹,金甫勳,琴坰樹 대한동의병리학회 2001 동의생리병리학회지 Vol.15 No.3
Traditional culture, especially the value system of Confucianism that one of its main stream is represented 「Nei Sheng Wai Wang(內聖外王)」. that is, 「Xiu Shen Qi Jia Zhi Guo Ping Tian Xia(修身 齋家 治國 平天下)」 is established the highest goal in life, inside moral self-culture is regarded as a premise and the base in outside goal achievement. In recognition to the relation between an individual and society, they adhered to attitude of 「Tian Xia Wei Gong(天下爲公)」. In this process, his values is formed that 「truth is nobler than power and virtue is more valuable than position」. As such values of Confucianism flow in and unite into Traditional Chinese Medicine, a medical practitioner's an outlook of morals is formed and strengthened. Once in a while, when realization of confucian values through advance into a government post is understood that it is impossible, Being transformed to promulgate 「yi de(醫德)」 made a term named 「ru yi(儒醫)」 represented. Xiang(相) and the Doctor of medicine(醫) which represent realization of morality through go into an official position pursued Liang Xiang(良相) or Liang Yi(良醫) under a common goal that is realization of national salvation and relieve a person. In result, the idea that which is formed unless being the prime minister, we would be a good doctor became a proverb that transcended space-time being in everyone's mouth till today. Thus, mutual harmony in two different culture systems of Confucian culture and Traditional Chinese Medicine formed a peculiar speculative method in traditional culture and have caused a lot of influence in deciding an action mode.
비교사 토론 인덱싱을 위한 시청각 콘텐츠 분석 기반 클러스터링
금지수,이현수,Keum, Ji-Soo,Lee, Hyon-Soo 한국음향학회 2008 韓國音響學會誌 Vol.27 No.5
본 연구에서는 시청각 정보를 이용한 비교사 토론 인덱싱 방법을 제안한다. 제안하는 방법은 BIC (Bayesian Information Criterion)에 의한 음성 클러스터링 결과와 거리기반 함수에 의한 영상 클러스터링 결과를 결합한다. 시청각 정보의 결합은 음성 또는 영상 정보를 개별적으로 사용하여 클러스터링할 때 나타나는 문제점을 줄일 수 있고, 토론 데이터의 효과적인 내용 기반의 분석이 가능하다. 제안하는 방법의 성능 평가를 위해 서로 다른 5종류의 토론 데이터에 대해 음성, 영상 정보를 개별적으로 사용할 때와 두 가지 정보를 동시에 사용할 때의 성능 평가를 수행하였다. 실험 결과 음성과 영상 정보를 결합한 방법이 음성, 영상 정보를 개별적으로 사용할 때 보다 토론 인덱싱에 효과적임을 확인하였다. In this research, we propose an unsupervised debate indexing method using audio and visual information. The proposed method combines clustering results of speech by BIC and visual by distance function. The combination of audio-visual information reduces the problem of individual use of speech and visual information. Also, an effective content based analysis is possible. We have performed various experiments to evaluate the proposed method according to use of audio-visual information for five types of debate data. From experimental results, we found that the effect of audio-visual integration outperforms individual use of speech and visual information for debate indexing.