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최민기,유준상,정명숙,한동윤,윤지영,송학수,윤우영,허재범,Choi, Min-Gi,Yoo, Jun-Sang,Jung, Myoung-Suk,Han, Dong-Youn,Yoon, Ji-Young,Song, Hak-Soo,Yun, Woo-Yeong,Heo, Jae-Beom 사상체질의학회 2008 사상체질의학회지 Vol.20 No.1
1. Objectives and Methods This study was performed to investigate the relationship between Sasang constitution and decision making style. Subjects were 69 men and 45 women. Decision making style score, physical measurements and results were measured and analyzed according to Sasang constitution. 2. Results Soeumin group had significantly high score in rational score compared with those of Soyangin. Soyangin group had significantly high score in intuitive score compared with those of Soeumin. Soeumin group had significantly high score in dependent score compared with those of Taeeumin. According to binary logistic regression analysis for decision making style score, Sasang constitution were significant risk factors and ORs of Taeeumin were significantly higer than those of Soyangin in rational score, ORs of Soyangin were significantly higer than those of Soeumin in intuitive score, and ORs of Soeumin were significantly higer than those of Taeeumin in dependent Score. 3. Conclusions Soyangin had significantly high score in intuitive score. Soeumin had significantly high score in dependent score. We found many evidences that Soyangin is intuitive style and Soeumin dependent style in the text of ${\ulcorner}$Dongyi Suse Bowon${\lrcorner}$ and other research. But as far as Taeeumin was concerned, the result of Taeeurnin’s was not coincident with other research. More cases and research were needed to confirm the personality and phychological type of Taeeumin. This study result will be an important method that classify Sasang Costitution and consultation of student career decision making and studying attitude.
소편적삽증(小便赤澁證)을 동반한 소음인(少陰人) 망양증(亡陽證) 환자(患者) 치험(治驗) 1례(例)
최민기,유준상,최재완,윤지영,Choi, Min-Gi,Yoo, Jun-Sang,Choi, Jae-Wan,Yun, Ji-Yeong 사상체질의학회 2008 사상체질의학회지 Vol.20 No.2
1. Objectives The primary purpose of this case study is to report that a Soeumin Mang-yang Syndrome with redness of urine and urination difficulty was treated with 'Soeumin Seungyangikgibuja-tang(升陽益氣附子湯)(SIBT)' and then his symptoms, laboratory test(urine) and urine color improved. 2. Methods The patient has the symptoms including redness of urine, discomfort after urinating, general body sweating, constipation and thirst. We diagnosed him as Soeumin Mang-yang Syndrome. So we treated him with 'SIBT(升陽益氣附子湯)'. 3. Results and Conclusions After the constitutional treatment with SIBT(升陽益氣附子湯) on Soeumin Mang-yang Syndrome patient, his symptoms and laboratory test(urine) improved and urine color was clear. 'SBIT(升陽益氣附子湯)' is considered to be effective in Soeumin Mang-yang Syndrome. The change of urine color can be good evidence for the symtoms of Mang-yang Syndrome is improved.
빅데이터를 활용한 인공지능을 통한 주식 예측 분석 사례
최민기(Min-gi Choi),조광익(Kwang-ik Jo),전민기(Min-gi Jeon),최훈(hun Choi) 한국정보통신학회 2021 한국정보통신학회 종합학술대회 논문집 Vol.25 No.1
21세기는 4차 산업혁명을 맞아 빅데이터를 활용한 여러 분야의 연구가 진행되며 세상에 혁신적이고 유용한 기술이 끊임없이 나오고 있다. 빅데이터 시대에 최근 여러 기술 중 인공지능의 여러 알고리즘을 활용한 다양한 분야 중 금융 분야에서 빛을 발하여 핀테크, 금융사기 탐지 및 위험 요인 관리 등에 쓰이며, 최근 붐이 일어나고 있는 주식시장에도 인공지능 알고리즘 모델을 활용한 투자 예측 및 투자요인 분석 등에 활용되고 있다. 본 논문에서는 빅데이터를 활용한 인공지능을 통해 주식시장에서는 어떻게 쓰이고 있는지 다양한 연구 사례를 살펴보며 동향을 살펴볼 예정이다. In the 21st century, as we enter the Fourth Industrial Revolution, research in various fields utilizing big data is being conducted, and innovative and useful technologies are constantly emerging in the world. Among several technologies recently in the big data era, among various fields utilizing some algorithms of artificial intelligence, it shines in the field of finance and is used for pin tech, financial fraud detection and risk management, etc., and recently Even in the booming stock market, it is used for investment prediction and investment factor analysis using artificial intelligence algorithm models. In this paper, we plan to investigate various research cases and investigate trends in how they are used in the stock market through artificial intelligence that utilizes big data.