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2005년부터 2014년까지 전국 18개 지역의 측정 수평면전일사량의 경향 분석 및 분석 방법 소개
조민철,임하은,곽재은,강준모,황동현,김정배,Cho, Min-Cheol,Lim, Haeun,Kwak, Jae-eun,Kang, Jun-Mo,Hwang, Dong-Hyun,Kim, Jeongbae 한국교통대학교 융복합기술연구소 2017 융ㆍ복합기술연구소 논문집 Vol.7 No.1
At present, the Korea Meteorological Administration (KMA) measures the horizontal solar irradiation with time in 33 areas. Among these measured data, this study analyzed the tendency of applying the new analysis method by using the horizontal solar irradiation with the time which was measured in 18 regions across the country for ten years from 2005 to 2014. The method applied to the analysis is to compare the value of the annual total horizontal solar irradiance for one year with the value of that for the previous year of each year, and give +1 when it is higher than the reference ratio, 0 if it is within the reference ratio, and -1 when it is lower than the reference ratio. The characteristics of each region and nationwide characteristics according to the change of each reference ratio were evaluated and analyzed. Through the analysis results, the analysis method applied in this study could be well describe the characteristics of the solar irradiance during some years.
1985년부터 2014년까지 대구의 측정 수평면전일사량과 기상 데이터의 경향 및 상관관계 분석 연구
조민철,임하은,곽재은,강준모,황동현,김정배,Cho, Min-Cheol,Lim, Haeun,Kwak, Jae-eun,Kang, Jun-Mo,Hwang, Dong-Hyun,Kim, Jeongbae 한국교통대학교 융복합기술연구소 2017 융ㆍ복합기술연구소 논문집 Vol.7 No.2
At present, the Korea Meteorological Administration (KMA) measures the horizontal solar irradiation and meteorological data with time in 33 areas. Among these measured data, this study analyzed the tendency of applying the new analysis method by using the horizontal solar irradiation and meteorological data with the time which was measured in many regions across the country for thirty years from 1985 to 2014. The method applied to the analysis is to compare the value of the annual total horizontal solar irradiance and meteorological data for one year with the value of those for the previous year of each year, and give +1 when it is higher, and -1 when it is lower. The characteristics and relationships the horizontal solar irradiation and meteorological data in Daegu were evaluated and analyzed. Through the analysis results, the analysis method applied in this study could be well describe the characteristics and relationships of the solar irradiance and meteorological data during some years.
식사 전후의 사진 비교를 통한 스마트폰 앱의 영양소섭취량 타당도 평가
이혜진(Hyejin Lee),김은빈(Eunbin Kim),김수현(Su Hyeon Kim),임하은(Haeun Lim),박영미(Yeong Mi Park),강준호(Joon Ho Kang),김희원(Heewon Kim),김진호(Jinho Kim),박웅양(Woong-Yang Park),박성진(Seongjin Park),김진기(Jinki Kim),양윤정(Yoon Jun 한국영양학회 2020 Journal of Nutrition and Health Vol.53 No.3
본 연구는 만 19세 이상 60세 미만 성인남녀 98명을 대상으로 스마트폰 앱인 Gene-Health을 이용하여 식사 기록을 통해 분석된 영양소섭취량과 동일한 날의 식사 섭취 전과 후의 사진비교를 통해 섭취량을 추정하여 분석된 영양소섭취량을 비교함으로 Gene-Health의 타당도를 조사하기 위해 수행되었다. 주요 결과는 다음과 같다. 첫째, Gene-Health의 영양소섭취량과 사진을 통해 추정한 영양소섭취량을 비교한 결과 에너지, 탄수화물, 지방, 지방으로부터의 에너지 섭취비율은 통계적으로 유의한 차이가 없었으나 단백질 섭취량과 단백질로부터의 에너지 섭취 비율은 Gene-Health가 높았고, 탄수화물로부터의 에너지 섭취비율은 사진추정군이 높았다. 둘째, Gene-Health와 사진을 통한 영양소섭취량의 상관성은 에너지, 탄수화물, 단백질, 지방섭취량과 탄수화물 비율, 단백질 비율, 지질 비율은 모두 상관계수 0.382–0.708로 유의적인 양의 상관관계를 보였다. 셋째, Gene-Health와 사진을 통한 에너지, 탄수화물, 단백질, 지방섭취량과 탄수화물 비율, 단백질 비율, 지질 비율의 가중 카파 계수는 0.588–0.662로 상당히 일치하는 경향을 보였다. 에너지와 다량영양소, 다량영양소 섭취비율의 same agreement는 41.8%–48.0%이며 adjacent agreement는 75.5%–88.8%였다. 본 연구를 통하여 Gene-Health는 에너지와 다량영양소 섭취량을 추정하기 위한 타당한 도구라고 사료된다. 추후 연구에서는 다양한 연령과 여성 참가자를 확대하여 성별과 연령에 따른 Gene-Health의 타당도를 연구할 필요가 있다. Purpose: This study was conducted to evaluate the validity of the Gene-Health application in terms of estimating energy and macronutrients. Methods: The subjects were 98 health adults participating in a weight-control intervention study. They recorded their diets in the Gene-Health application, took photographs before and after every meal on the same day, and uploaded them to the Gene-Health application. The amounts of foods and drinks consumed were estimated based on the photographs by trained experts, and the nutrient intakes were calculated using the CAN-Pro 5.0 program, which was named ‘Photo Estimation’. The energy and macronutrients estimated from the Gene-Health application were compared with those from a Photo Estimation. The mean differences in energy and macronutrient intakes between the two methods were compared using paired t-test. Results: The mean energy intakes of Gene-Health and Photo Estimation were 1,937.0 kcal and 1,928.3 kcal, respectively. There were no significant differences in intakes of energy, carbohydrate, fat, and energy from fat (%) between two methods. The protein intake and energy from protein (%) of the Gene-Health were higher than those from the Photo Estimation. The energy from carbohydrate (%) for the Photo Estimation was higher than that of the Gene-Health. The Pearson correlation coefficients, weighted Kappa coefficients, and adjacent agreements for energy and macronutrient intakes between the two methods ranged from 0.382 to 0.607, 0.588 to 0.649, and 79.6% to 86.7%, respectively. Conclusion: The Gene-Health application shows acceptable validity as a dietary intake assessment tool for energy and macronutrients. Further studies with female subjects and various age groups will be needed.