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Sohwan Son,Yoona Ro,Hwajin Hyun,Hongmie Lee,Kyunghee Song 대한지역사회영양학회 2014 Nutrition Research and Practice Vol.8 No.2
BACKGROUND/OBJECTIVES: Dietary behavior and life stress in adolescence is related to growth rate and learning ability. This study was conducted to identify the relations between dietary habits, dietary attitude nutritional knowledge and life stress among high school girls in Korea and China. SUBJECTS/METHODS: The subjects of this study were 221 high school girls in Korea and 227 high school girls in China. The questionnaire were about dietary habits, dietary attitude, nutritional knowledge and life stress. RESULTS: The dietary habits of chinese girls were healthier than those of Korean girls with a significant difference (P < .001). There was no significant difference in dietary attitude between Korean girls and Chinese girls. Korean girls had more nutritional knowledge than Chinese girls with a significant difference (P < .001). Korean girls did less physical exercise but spent more time watching TV and using PCs, compared to Chinese girls. Korean girls" degree of confidence in nutrition information that they had learned and their performance in their real lives were low. Also, they had a low level of awareness of the need for nutritional education. There was no significant difference in life stress between the two groups. Dietary habits had a significantly negative correlation with life stress in both Korean and Chinese girls (P < .01, P < .001). As for Chinese students, dietary attitude had a negative correlation with life stress with a significant difference (P < .05). As for Korean girls, nutritional knowledge had a negative correlation with life stress with a significant difference (P < .05), which means as life stress was less, dietary habits were better. CONCLUSIONS: This study shows that effective nutrition education programs should include components that encourage application of learned nutrition information to real life, increase physical exercise and reduce life stress.
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오유상(Yousang Oh),이충기(Chunggi Lee),오주영(Juyoung Oh),양지현(Jihyeon Yang),곽희나(Heena Kwag),문성우(Seongwoo Moon),박소환(Sohwan Park),고성안(Sungahn Ko) 한국컴퓨터그래픽스학회 2016 컴퓨터그래픽스학회논문지 Vol.22 No.5
컴퓨터 그래픽스 (Computer Graphics) 및 인간-컴퓨터 상호작용 (Human-Computer Interaction, HCI) 기술을 기반으로 효과적인 데이터 분석을 위한 가시화 툴 (Tool) 기술이 크게 발전 하였다. 해당 기술 분야는 Visual Analytics (비주얼애널리틱스)라는 연구 분야로 발전하여 2006년 첫 심포지엄이 열린 이래, 다양한 데이터 마이닝 (Data Mining), 상호작용 (Interaction) 기술이 정보 가시화 (Information Visualization) 기술에 접목하여 사용자 중심의 빅 데이터분석 및 의사 결정 시스템을 연구하는 분야로 확장 되었다. 그러나 국내에서는 아직 해당 연구 분야에 대하여 제대로 알려지지 않아, 국내 컴퓨터 그래픽스 및 HCI 기술연구에 비하여, 가시화 기술을 통한 빅데이터 분석 및 의사결정을 지원하는 시스템을 설계하는 기술이 뒤쳐지는 편이다. 따라서 본 논문에서는 비주얼 애널리틱스 연구의 기본 철학을 살펴 보고, IEEE Symposium on Visual Analytics Science and Technology (VAST)학회에 2015년 출판된 논문으로 사용된 데이터 및 가시화 기술 분석 서베이를 진행함으로써 국내 컴퓨터 그래픽스 연구자들의 해당 분야에 대한 이해를 돕고자 한다. As big data become more complex than ever, there has been a need for various techniques and approaches to better analyze and explore such big data. A research discipline of visual analytics has been proposed to help users’ visual data analysis and decision-making. Since 2006 when the first symposium of visual analytics was held, the visual analytics research has become popular as the advanced technology in computer graphics, data mining, and human-computer interaction has been incorporated in visual analytics. In this work we introduce the visual analytics research by reviewing and surveying the papers published in IEEE VAST 2015 in terms of data and visualization techniques to help domestics researchers’ understanding on visual analytics.
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