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      • KCI등재

        군집분석과 변동핵밀도함수를 이용한 지역빈도해석의 확률강우량 산정

        오태석(Oh Tae Suk),문영일(Moon Young-Il),오근택(Oh Keun-Taek) 대한토목학회 2008 대한토목학회논문집 B Vol.28 No.2B

        The techniques to calculate the probability precipitation for the design of hydrological projects can be determined by the point frequency analysis and the regional frequency analysis. Probability precipitation usually calculated by point frequency analysis using rainfall data that is observed in rainfall observatory which is situated in the basin. Therefore, Probability precipitation through point frequency analysis need observed rainfall data for enough periods. But, lacking precipitation data can be calculated to wrong parameters. Consequently, the regional frequency analysis can supplement the lacking precipitation data. Therefore, the regional frequency analysis has weaknesses compared to point frequency analysis because of suppositions about probability distributions. In this paper, rainfall observatory in Korea did grouping by cluster analysis using position of timely precipitation observatory and characteristic time rainfall. Discordancy and heterogeneity measures verified the grouping precipitation observatory by the cluster analysis. So, there divided rainfall observatory in Korea to 6 areas, and the regional frequency analysis applies index-flood techniques and L-moment techniques. Also, the probability precipitation was calculated by the regional frequency analysis using variable kernel density function. At the results, the regional frequency analysis of the variable kernel function can utilize for decision difficulty of suitable probability distribution in other methods. 수공구조물의 설계를 위한 확률강우량의 산정방법은 크게 지점빈도해석과 지역빈도해석으로 구분된다. 일반적으로 확률강우량은 대상유역에 위치하는 강우관측소에서 관측된 강우량자료를 지점빈도해석으로 추정하게 된다. 지점빈도해석을 통한 확률강우량을 산정하기 위해서는 충분한 기간 동안의 관측된 강우량자료의 확보가 필수적이라 할 수 있으나 관측자료의 부족으로 인해 매개변수의 편의가 발생할 수 있다. 따라서 부족한 강우자료를 보완하고 안정적인 확률강우량을 산정하기 위한 방안으로 지역빈도해석이 추천되어지고 있다. 따라서 본 연구에서는 우리나라 강우관측소의 위치 및 시간강우량 특성을 이용한 군집분석을 수행하여 강우관측소를 군집화 하였다. 군집화 된 강우관측소를 대상으로 L-moment법을 통해 산정한 매개변수를 이용하여 각각의 지역별로 불일치성 및 이질성 검정을 통한 지역구분을 수행하여 우리나라 강우관측소를 6개 지역으로 구분하였다. 구분된 지역별로 L-moment법, 지수홍수법 및 변동핵밀도함수를 적용한 지역빈도해석을 수행하여 각각 확률강우량을 산정하여 비교하였다. 분석결과에서 변동핵밀도함수를 이용한 지역빈도해석은 다른 기법에서 적합한 확률분포형 결정이 어려운 경우 등에 충분히 활용할 수 있는 것으로 나타났다.

      • KCI우수등재

        L 및 LH-모멘트법과 지역빈도분석에 의한 가뭄우량의 추정 (II)- LH-모멘트법을 중심으로 -

        이순혁 ( Lee Soon-hyuk ),윤성수 ( Yoon Seong-soo ),맹승진 ( Maeng Sung-jin ),류경식 ( Ryoo Kyong-sik ),주호길 ( Joo Ho-kil ),박진선 ( Park Jin-seon ) 한국농공학회 2004 한국농공학회논문집 Vol.46 No.5

        In the first part of this study, five homogeneous regions in view of topographical and geographically homogeneous aspects except Jeju and Ulreung islands in Korea were accomplished by K-means clustering method. A total of 57 rain gauges were used for the regional frequency analysis with minimum rainfall series for the consecutive durations. Generalized Extreme Value distribution was confirmed as an optimal one among applied distributions. Drought rainfalls following the return periods were estimated by at-site and regional frequency analysis using L-moments method. It was confirmed that the design drought rainfalls estimated by the regional frequency analysis were shown to be more appropriate than those by the at-site frequency analysis. In the second part of this study, LH-moment ratio diagram and the Kolmogorov-Smirnov test on the Gumbel (GUM), Generalized Extreme Value (GEV), Generalized Logistic (GLO) and Generalized Pareto (GPA) distributions were accomplished to get optimal probability distribution. Design drought rainfalls were estimated by both at-site and regional frequency analysis using LH-moments and GEV distribution, which was confirmed as an optimal one among applied distributions. Design rainfalls were estimated by at-site and regional frequency analysis using LH-moments, the observed and simulated data resulted from Monte Carlotechniques. Design drought rainfalls derived by regional frequency analysis using L1, L2, L3 and L4-moments (LH-moments) method have shown higher reliability than those of at-site frequency analysis in view of RRMSE (Relative Root-Mean-Square Error), RBIAS (Relative Bias) and RR (Relative Reduction) for the estimated design drought rainfalls. Relative efficiency were calculated for the judgment of relative merits and demerits for the design drought rainfalls derived by regional frequency analysis using L-moments and L1, L2, L3 and L4-moments applied in the first report and second report of this study, respectively. Consequently, design drought rainfalls derived by regional frequency analysis using L-moments were shown as more reliable than those using LH-moments. Finally, design drought rainfalls for the classified five homogeneous regions following the various consecutive durations were derived by regional frequency analysis using L-moments, which was confirmed as a more reliable method through this study. Maps for the design drought rainfalls for the classified five homogeneous regions following the various consecutive durations were accomplished by the method of inverse distance weight and Arc-View, which is one of GIS techniques.

      • KCI등재

        주파수 의존성을 고려한 등가선형해석기법의 검증

        정창균,곽동엽,박두희 한국지반공학회 2008 한국지반공학회논문집 Vol.24 No.12

        One-dimensional site response analysis is widely used to simulate the seismic site effects. The equivalent linear analysis, which is the most widely used type of site response analysis, is essentially a linear method. The method applies constant shear modulus and damping throughout the frequency range of the input motion, ignoring the dependence of the soil response on the loading frequency. A new type of equivalent linear analysis method that can simulate the frequency dependence of the soil behavior via frequency-strain curve was developed. Various forms of frequency-strain curves were proposed, and all curves were asserted to increase the accuracy of the solution. However, its validity has not been extensively proven and the effect of the shape of the frequency-strain curve is not known. This paper used two previously proposed frequency-strain curves and three additional curves developed in this study to evaluate the accuracy of the frequency-dependent equivalent linear method and the influence of the shape of the frequency-strain curves. In the evaluation, six recordings from three case histories were used. The results of the case study indicated that the shape of the frequency-strain curve has a dominant influence on the calculated response, and that the frequency dependent analysis can enhance the accuracy of the solution. However, a curve that results in the best match for all case histories did not exist and the optimum curve varied for each case. Since the optimum frequency-strain curve can not be defined, it is recommended that a suite of curves be used in the analysis.

      • KCI등재

        Bivariate regional frequency analysis of extreme rainfalls in Korea

        Shin Ju-Young,Jeong Changsam,Ahn Hyunjun,Heo Jun-Haeng 한국수자원학회 2018 한국수자원학회논문집 Vol.51 No.9

        다변량 빈도해석과 지역빈도해석의 장점을 동시에 가지는 다변량 지역빈도해석은 다양한 변수를 고려함으로써 수문 현상에 대하여 많은 정보를 얻을 수 있고 많은 가용 자료 수로 인하여 높은 정확도의 분석결과를 도출할 수 있다. 현재까지는 우리나라의 강우 자료를 이용하여 다변량 지역빈도해석이 시도된 적이 없어 국내의 강우 자료를 대상으로 다변량 지역빈도해석의 적용성을 검토할 필요가 있다. 본 연구에서는 다변량 지역빈도해석의 매개변수 추정, 최적 분포형 선정, 확률수문량 성장곡선 추정 등에 집중하여 이변량 수문자료인 연 최대 강우량-지속기간 자료에 대하여 이변 량 지역빈도해석의 적용성을 평가하였다. 기상청 71개 지점에 대하여 분석을 실시하였다. 본 연구를 통해 적용된 지역강우자료의 최적 copula 모형으로는 Frank와 Gumbel copula 모형이 선택되었고 주변분포형에 대해서는 지역별로 Gumbel과 대수정규분포와 같은 다양한 분포형이 최적 분포형으로 선택되었다. 상대제곱근오차(relative root mean square error)를 기준으로 지역빈도해석이 지점빈도해석보다 안정적이고 정확한 확률수문량 곡선 추정을 하였다. 이변량 강우분석에서 지역빈도해석을 적용하면 안정적인 수공구조물 설계기준 제시와 강우-지속기간 관계를 모형화 할 수 있을 것으로 기대된다. Multivariate regional frequency analysis has advantages of regional and multivariate framework as adopting a large number of regional dataset and modeling phenomena that cannot be considered in the univariate frequency analysis. To the best of our knowledge, the multivariate regional frequency analysis has not been employed for hydrological variables in South Korea. Applicability of the multivariate regional frequency analysis should be investigated for the hydrological variable in South Korea in order to improve our capacity to model the hydrological variables. The current study focused on estimating parameters of regional copula and regional marginal models, selecting the most appropriate distribution models, and estimating regional multivariate growth curve in the multivariate regional frequency analysis. Annual maximum rainfall and duration data observed at 71 stations were used for the analysis. The results of the current study indicate that Frank and Gumbel copula models were selected as the most appropriate regional copula models for the employed regions. Several distributions, e.g. Gumbel and log-normal, were the representative regional marginal models. Based on relative root mean square error of the quantile growth curves, the multivariate regional frequency analysis provided more stable and accurate quantiles than the multivariate at-site frequency analysis, especially for long return periods. Application of regional frequency analysis in bivariate rainfall-duration analysis can provide more stable quantile estimation for hydraulic infrastructure design criteria and accurate modelling of rainfall-duration relationship.

      • KCI등재

        의미연결망 분석을 이용한 웹툰의 연구 동향 분석

        정위,최동혁 한국만화애니메이션학회 2020 만화애니메이션연구 Vol.- No.59

        This study analyzed the research trends of webtoons through semantic network analysis. Webtoons have received a lot of public, practical and academic attention over the past 15 years. However, the research results have not been comprehensively compiled yet. In response, 271 related papers were selected for analysis in order to identify research trends in core research and detailed research areas in the webtoon field, and a total of 726 keywords were extracted from these papers and a semantic network analysis was conducted on 99 keywords. The semantic network analysis provides a summary of the overall research performance in network form, based on the interrelationships between the detailed concepts used in a particular research field, as well as deriving the areas of study among the detailed concepts. In this study, a detailed technique of semantic network analysis was performed: keyword frequency analysis, centrality analysis, and cohesive group analysis by CONCOR. Key research concepts of webtoon research can be derived through frequency analysis and centrality degree analysis and can capture sub-research areas of webtoons based on the structural equivalence of the terminology index. The concept of core research in the field of webtoon research was identified through frequency analysis and centrality degree analysis through semantic network analysis. Keywords for narrative, storytelling, business model, cartoon and media conversion showed high frequency, followed by narrative, storytelling, business model, cartoon, content, platform, media conversion and brand webtoon. Overall, keywords such as narratives, storytelling, business models, and cartoons appear more frequently and are more centrality degree so it was understood that they are the main concept of the webtoon research. After checking the detailed research areas of the webtoon research field, it was confirmed that there were seven detailed research areas. [Group 1] Commercial use of webtoons, [Group 2] participation of webtoon users, [Group 3] production of webtoons, [Group 4] webtoons and Internet culture, [Group 5] webtoons education, [Group 6] media OSMU, and [Group 7] webtoons copyright. Based on the above analysis results, this study presented suggestions on the trend of webtoon research and methodology, and suggested research tasks and directions that should be solved in future research. 웹툰은 지난 15년 동안 대중적으로, 실무적으로, 또 학술적으로 많은 관심을 받아 온 주제이다. 그런데 아직 그 연구 내용과 결과가 종합적으 로 정리된 바 없다. 이에 본 연구는 의미연결망 분석을 통해 웹툰 연구를 분석하여 웹툰 분야의 핵심연구 및 세부연구영역 등의 연구 동향을 포착 하였다. 의미연결망 분석의 세부 기법인 빈도분석과 연결 중심성 분석을 통해 웹툰 연구의 핵심 연구개념을 도출할 수 있다. 구조적 등위성 분석 을 통해서는 웹툰의 하위연구 영역을 포착할 수 있다. 본 연구에서는 웹툰 관련 논문 271편을 분석대상으로 선정했으며, 이들 논문에서 총 726개의 키워드를 추출하여 그중 99개의 키워드를 대 상으로 의미연결망 분석을 하였다. 의미연결망 분석의 세부 기법인 키워 드 빈도분석, 연결 중심성 분석 및 구조적 등위성 분석을 하였다. 서사, 스토리텔링, 비즈니스 모델, 만화, 매체전환의 키워드가 높은 출현빈도를 보였으며, 서사, 스토리텔링, 비즈니스 모델, 만화, 콘텐츠, 플랫폼, 매체 전환, 브랜드 웹툰의 순으로 연결 중심성이 높게 나타났다. 서사, 스토리 텔링, 비즈니스모델, 만화와 같은 키워드들이 출현빈도도 높고 연결 중심 성도 높은 편이어서 웹툰 연구에서 주목하는 중점 개념임을 파악하였다. 웹툰 연구 분야의 세부 연구영역을 확인한 결과 7개의 세부 연구영역이 있는 것으로 확인되었다. [그룹 1] 웹툰의 상업적 활용, [그룹2] 웹툰 사 용자 참여, [그룹3] 웹툰 연출, [그룹4] 웹툰과 인터넷문화, [그룹5] 웹 툰 교육, [그룹6] 매체전환, [그룹7] 웹툰 저작권으로 그룹의 특성을 제 시하였다. 이상의 연구결과를 바탕으로 본 연구는 웹툰 연구 동향 및 방 법론에 대한 시사점을 제시하였으며, 향후 연구에서 해결해야 할 연구 과 제와 방향을 제언하였다

      • KCI등재

        Frequency Domain Solver를 이용한 양측식 평판형 선형유도전동기의 성능해석에 관한 연구

        이성구 대한전기학회 2019 전기학회논문지 P Vol.68 No.4

        In this study, the thrust force of the flat type linear induction motor (LIM) was calculated by using the finite element analysis (FEA) of the frequency domain solver(FDS) method using the assumption that all physical quantities are the sinusoidal functions of the same frequency. For the analysis model of a simple linear induction motor adopting the concept of current sheet, a FEA using a time domain solver method(TDS), which can include the movement of objects and various frequency components, is performed. Through this, it was confirmed that the analysis error of the FDS is caused by the spatial harmonics component included in the moving magnetic field of the air gap. Finally, the thrust force of a flat type LIM of a specific specification was calculated using a FDS and a TDS, respectively. And the analysis result and analysis time between two analysis methods were compared. In addition, the analysis error and analysis time between the two methods were compared quantitatively while changing key design parameters such as air gap length and pole pitch. Through this, the feasibility study of the design of the flat type LIM using the FDS method is examined.

      • KCI등재후보

        홍수피해 발생빈도-피해액 관계분석을 통한 지역별 홍수피해특성 분석

        박태선,최민하,여창건,이승오 한국방재학회 2009 한국방재학회논문집 Vol.9 No.5

        It has been considered only with the concerned local damage costs whenever the restoration and flood control measures were established in Korea. If the relationship between regional flood frequency and damages is quantitatively analyzed, more resonable and reliable countermeasure for flood protection and restoration can be proposed in local governments. Historical data('70~’07) about flood damage in Korea were utilized and analyzed to present such relationship using the point frequency analysis. Also, the quadrant analysis was employed to divide into 4 categories: high frequency-high damage, high frequency-low damage, low frequency-high damage, and low frequency-low damage. If the results from this study were utilized well in specific cities and counties in Korea, it would be helpful to establish the countermeasures and action plans for flood protection because it was possible to compare with the relationship between flood frequency and damage of each region. And it could be fundamental data for estimating the effect of future flood protection plan. 현재까지의 치수대책이나 복구대책은 대부분 당해 연도의 지역별 피해액만을 기준으로 이루어지고 있다. 그러나 지역의 홍수발생빈도와 홍수피해액 관계를 분석하면 지역의 홍수피해특성을 고려한 보다 합리적인 대책마련이 가능하다. 본 연구에서는 점빈도 분석을 이용하여 과거 38년(’70~’07)간의 전국 시군구별 홍수피해자료를 이용하여 무차원 홍수피해 발생빈도와 피해액간의 상관관계를 분석하였다. 분석결과를 바탕으로 사분면적 해석방법을 도입하여 전국 시군구의 홍수피해 유형을 다빈도-대피해 지역, 다빈도-소피해 지역, 소빈도-대피해 지역, 소빈도-소피해 지역이라는 네 가지 유형으로 구분하였다. 본 연구의 분석결과를 활용하면 시군구별로 홍수피해액별 발생빈도와 발생빈도별 홍수피해액을 손쉽게 비교할 수 있기 때문에 지역의 치수방어년을 설정하는 데에도 많은 도움이 될 수 있다. 또한, 발생빈도별 홍수피해액을 산정할 수 있기 때문에 치수사업의 효과를 분석하거나 예측하기 위한 기초자료로도 충분히 활용할 수 있을 것이다.

      • KCI등재후보

        텍스트마이닝을 활용한 학부모 기사 분석

        김봉제 한국학부모학회 2017 학부모연구 Vol.4 No.2

        This study analyzes the characteristics of parent-related topics recognized by society by analyzing articles related to parents through text mining and semantic network analysis. The newspaper articles analyzed were collected using the newspaper article search service (www.bigkinds.or.kr) provided by Korea Press Foundation. The collection period is January 1, 1997. From 2017 to February 28, 2013, a total of 113,472 articles were extracted, including 103,897 parents, 943 school attendance, 4,526 parent education, 113 father education, 3,020 parent education, and 973 parent consultation. According to the results of the analysis, first, the social issues and interests related to the parents are continuously increasing. Second, parents, students, and schools have strong connections with each other. On the other hand, teachers, one of the three subjects of education, have relatively low connectivity in parent-related articles. Third, middle school has lower TF-IDF (Term Frequency-Inverse Document Frequency) than elementary school high school, which proves the social characteristics that the relative interest in middle school is low. Convergence of iterated CORrelations (CONCOR) analysis, which repeatedly performed a correlation analysis to find an appropriate level of similarity groups, clearly distinguished groups. This study analyzes the text mining of newspaper articles related to parents. Although there is a first attempt in the field of parents' involvement, there is a limit to an in-depth analysis of the social phenomena associated with parents. To complement this, it is also necessary to analyze articles related to parents from the perspective of opinion mining. 본 연구는 텍스트마이닝(Textmining)과 의미연결망 분석(semantic network analysis) 방법을 활용해 학부모 관련 기사를 분석한다. 한국사회에서 인식하는 학부모 관련 주제의 특성을 파악하는 것을 목적으로 한다. 분석대상은 한국언론진흥재단이 제공하고 있는 신문기사검색 서비스(www.bigkinds.or.kr)를 이용하여 수집하였다. 수집 기간은 1997.01.01.부터 2017.02.28.까지의 20년이었으며, 학부모 103,897건, 학교참여 943건, 학부모회 4,526건, 아버지회 113건, 학부모교육 3,020건, 학부모상담 973건으로 총 113,472건의 기사가 추출되었다. 분석결과에 의하면 첫째, 학부모와 관련된 사회적 이슈와 관심은 지속해서 증가하고 있다. 둘째, 학부모, 학생, 학교는 상호 간에 강한 연결성을 가진다. 반면에 교육의 3주체의 하나인 교사는 학부모 관련 기사에서 연결성이 상대적으로 낮다. 셋째, 중학교는 초등학교 고등학교와 비교하면 TF-IDF(Term Frequency-Inverse Document Frequency)의 값이 낮은데, 이는 중학교에 대한 상대적 관심이 낮다는 사회적 특성을 증명한다. 상관관계 분석을 반복적으로 수행하여 적정한 수준의 유사성 집단을 찾아내는 CONCOR(CONvergence of iterated CORrelations) 분석에 의하면 그룹이 명확하게 구분되었다.

      • KCI등재

        Gamma 및 비Gamma군 분포모형에 의한 강우의 지점 및 지역빈도 비교분석 (Ⅱ)

        이순혁,류경식,Lee , Soon-Hyuk,Ryoo, Kyong-Sik 한국농공학회 2004 한국농공학회논문집 Vol.46 No.5

        This study was conducted to derive the regional design rainfall by the regional frequency analysis based on the regionalization of the precipitation. The optimal regionalization of the precipitation data were classified by the above mentioned regionalization for all over the regions except Jeju and Ulleung islands in Korea. Design rainfalls following the consecutive duration were derived by the regional analysis using the observed and simulated data resulted from Monte Carlo techniques. Relative root mean square error (RRMSE), relative bias (RBIAS) and relative reduction (RR) in RRMSE for the design rainfall were computed and compared between the regional and at-site frequency analysis. It has shown that the regional frequency analysis procedure can substantially more reduce the RRMSE, RBIAS and RR in RRMSE than those of at-site analysis in the prediction of design rainfall. Consequently, optimal design rainfalls following the classified regions and consecutive durations were derived by the regional frequency analysis using Generalized extreme value distribution which was identified to be more optimal one than the other applied distributions. Diagrams for the design rainfall derived by the regional frequency analysis using L-moments were drawn according to the regions and consecutive durations by GIS techniques.

      • KCI등재후보

        Bioelectrical Impedance Analysis 측정 시 권고사항 중 측정2시간 전 수분섭취의 적절성 여부 평가: 단주파수 방식과다주파수 방식 Bioelectrical Impedance Analysis의 비교

        김지현,정부윤,이용주,최환석 대한가정의학회 2019 Korean Journal of Family Practice Vol.9 No.1

        Background: Bioelectrical impedance analysis (BIA) can be used to estimate body composition. To achieve the best results, the manufacturer’s guidelines advise that individuals should restrict intake of food or caffeine, avoid vigorous exercise for 4 hours, and drink 2–4 glasses of water 2 hours before testing. We evaluated the appropriacy of drinking 2–4 glasses of water 2 hours before the BIA, as the validity of this indication has not been specifically demonstrated, by comparing intracellular water (ICW), extracellular water (ECW), total body water (TBW) in the fasting state, and after 1 and 2 hours of ingesting 500 mL of water. Methods: Twenty-nine healthy adult men (n=10) and women (n=19) were recruited for the study. In the fasting state, the InBody 720 analyzer was used as multi-frequency (MF)-BIA and the output was recorded to determine the exact weight. Subsequently, Medinex BIA 450 analyzer was used as single-frequency (SF)-BIA, and the output was recorded. After drinking 500 mL of water 1 or 2 hours before assessment, the BIA tests were repeated as indicated above, and the ICW, ECW, TBW were compared by repeated measures ANOVA. Results: SF-BIA measurements showed that compared to fasting state, the ICW decreased by approximately 0.56 L after 1 hour of drinking (P=0.001). The ECW was increased by about 0.62 L, 1 hour after drinking water compared to the fasting state (P=0.002). There were no significant differences between the results of BIA testing at 1 and 2 hours of fluid intake. The MF-BIA measurements indicated that testing after fasting, or 1 or 2 hours after fluid intake, did not result in significantly different ICW and ECW values. TBW showed no significant differences in the fasting state, or after 1 or 2 hours of fluid intake for both SF and MF. Conclusion: Several studies have shown that bioelectrical impedance should be measured in the fasting state. But not the food intake, drinking 500 mL of water may be permitted when measuring MF-BIA. However, for SF-BIA measurements, fluid intake resulted in an increase in the ECW level and a decrease in ICW. 연구배경: Bioelectrical impedance analysis (BIA)는 체성분 분석방법으로 단주파수 방식과 다주파수 방식이 있다. 공통적으로 BIA는 측정 전 최상의 결과를 얻기 위하여 테스트 받기 전 24시간 내 알코올섭취금지, 4시간이내운동, 카페인, 음식섭취 금지, 2시간전에 2–4컵의 물 섭취할 것과 같은 지침 사항을 준수할 것을 권고한다. 본 연구에서는 지침 사항 중 2시간 전 2–4컵의 물 섭취에 대해 공복 상태, 수분섭취 1시간 후, 2시간 후의 extracellular water (ECW), intracellularwater (ICW), total body water (TBW) 수치를 비교하여 그 적절성에 대해 평가하고자 한다. 방법: 성인남녀 29명(남 10명, 여 19명)을 대상으로 간단히 성별, 나이, 체중, 신장, 병력, 월경기간 유무, 카페인, 알코올 섭취 유무, 운동,최소 4시간 동안 공복 상태인지 확인한 뒤, 동의서를 받고 공복 4시간 상태(9:30 AM)에 InBody 720 (multi-frequency [MF]-BIA)을 먼저측정하여 정확한 체중값을 얻은 뒤 이어서 Medinex BIA 450 (singlefrequency [SF]-BIA)을 측정하여 출력값을 얻었다. 물 500 mL를 섭취하고 1시간 후(10:30 AM), 2시간 후(11:30 AM) 같은 과정을 반복하였고 얻어진 출력값 중 ICW, ECW, TBW를 repeated measures ANOVA로 비교 분석하였다. 결과: ICW 같은 경우 SF의 경우 공복 상태에 비해 1시간 후에 0.56 L감소한 것으로 나타났고(P=0.001), 1시간 후와 2시간 후의 유의한 차이는 없었다. MF는 공복 상태, 1시간 후, 2시간 후의 ICW에 유의한차이는 없었다. ECW는 SF의 경우 공복 상태에 비해 1시간 후에 0.62L 증가한 것으로 나타났고(P=0.002), 1시간 후와 2시간 후의 유의한차이는 없었다. MF는 공복 상태, 1시간 후, 2시간 후의 ECW는 유의한 차이는 없었다. TBW는 SF, MF 모두 공복 상태, 1시간 후, 2시간 후에 유의한 차이가 없었다결론: 여러 연구에서 BI는 공복에 측정되어야만 한다고 증명하였다. 하지만, 음식의 섭취가 아닌 물은 500 mL 정도는 MF-BIA 측정 시 마셔도 무방한 것으로 판단되고, SF-BIA는 수분섭취에 ICW, ECW 수치에 있어서 좀더 민감한 반응을 보이는 것으로 드러났다

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