• Title/Summary/Keyword: 계량자료

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A Study on the Intellectual Structure Analysis in Korean Studies (한국학 분야의 지식 구조 분석 연구)

  • Song, Min-Sun
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.4
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    • pp.125-157
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    • 2015
  • In Korean Studies, there have been made many studies for finding the identity as the intrinsic academic field, because the Korean studies have complex intertwined characteristics with other fields. However, previous related studies have been mostly focused on the qualitative content analysis method related to the major Korean Studies, the study applying the bibliometric method was not conducted. Therefore, the purpose of this study is to draw intellectual structures about the domestic and overseas Korean studies academic papers applying the bibliometric methods, and to analyze content of intellectual structures by focus group interview (FGI). As the result of this study, the intellectual structure in the domestic Korean Studies had the characteristics of the Humanities, and the intellectual structure in the foreign Korean Studies had the characteristics of the Social Sciences. Also, the domestic Korean Studies encompassed a wide range of period from ancient to modern times, while the foreign Korean Studies focused on a modern and contemporary times. This study has a significance in the way that it is the first study to draw the intellectual structures in the domestic and foreign Korean Studies applying the bibliometric method, and then to carry out the comprehensive analysis through FGI with specialists in Korean Studies. However, in order to do more meaningful one-to-one comparison studies about the field of the domestic and foreign Korean Studies, many follow-up co-studies reflecting diverse opinions of many researchers in Korean Studies will be necessary.

Current status, perception and practicability of restaurant staffs related to reducing sodium use in Seongnam, Korea (성남 지역 외식업소의 나트륨 저감화 현황과 종사자의 저감화 실행에 대한 인식 및 실천용이도)

  • Ahn, So-Hyun;Kwon, Jong Sook;Kim, Kyungmin;Lee, Yoonna;Kim, Hye-Kyeong
    • Journal of Nutrition and Health
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    • v.52 no.5
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    • pp.475-487
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    • 2019
  • Purpose: With the increase of going out to eat, reducing the sodium in restaurant foods has a crucial impact on reducing sodium intake. This study aimed to assess the current status and perceptions of restaurant staffs related to reducing sodium use in restaurants. Methods: Restaurant managers and chefs (n = 312) in Seongnam area completed a questionnaire on the current status related to sodium use, the barriers to practice for reducing sodium use, support needs, and the practicability of methods for reducing sodium use in restaurants. Results: The percentage of restaurants in the preaction stage (including the precontemplation, contemplation, and preparation stages) for reducing sodium use was 79.7%. Logistic regression analysis showed that measuring salinity while cooking was associated with measuring seasoning (OR, 4.761; 95% CI, 2.325 ~ 9.751), action/maintenance stages of behavior change (OR, 2.829; 95% CI, 1.449 ~ 5.525) and providing salinity information of restaurant foods (OR, 6.314; 95% CI, 2.964 ~ 13.45). Maintaining taste and hindering the cooking process were the main barriers to reduce sodium use. The total practicability of actions for reducing sodium was higher in staffs who worked in restaurants that measured seasoning and salinity while cooking (p < 0.05 and p < 0.01, respectively). The hardest item to practice was 'purchase foods after comparing sodium content in the nutrition labeling'. 'Avoid serving salt-fermented foods as side dishes', 'serve small portions of kimchi and less salty kimchi', and 'put up promotional materials for reducing sodium intake' were selected as easy items to perform. The majority (82%) was willing to reduce sodium in restaurant foods under the support of local government and they desired the promotion of participating restaurants and education on cooking skills to reduce sodium. Conclusion: Measuring seasoning and salinity while cooking is a meaningful practice that is associated with stages of behavior change and the practicability of actions for reducing sodium. It is necessary to provide support and education with a gradual approach to staffs for reducing sodium in restaurant foods.

Development of Health Service Weight for Resource Allocation and Performance Monitoring (자원 배분과 성과 모니터링을 위한 보건사업 가중치 개발)

  • Kim, Sang-A.;Hur, Young-Hye;Park, Woong-Sub
    • Journal of agricultural medicine and community health
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    • v.34 no.1
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    • pp.34-46
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    • 2009
  • Objectives: This study was conducted to estimate health service weight for resource allocation and performance monitoring using Basic Priority Rating System. Methods: The Health service would be classified according to New Health Plan 2010, and Burden of disease collected from preceding studies. The data of severity of health problem and effectiveness of intervention were collected through the survey of experts' suggestion. The health service weight was estimated in the formula which is Basic Priority Rating System. Results: In the result of analysis, the health service weight of Infectious disease was ranked highest at 58.97% followed by Anti-smoking campaign(14.07%), Hypertension(3.87%), Diabetes mellitus(3.40%), Cancer(2.90%), Cardiovascular-Cerebrovascular diseases(2.86%), Physical activity(2.10%), Moderate drinking(2.07%), Medical examination(1.92%), Mental health promotion(1.72%), Serious mental illnesses(1.62%), Nutrition(1.52%), Oral health promotion(1.15%), Oral diseases(1.10%), Addiction(0.73%). Conclusions: We think the result of this study provides a rational basis for resource allocation and performance monitoring of health service.

Forecasting Economic Impacts of Construction R&D Investment: A Quantitative System Dynamics Forecast Model Using Qualitative Data (건설 분야 정부 R&D 투자의 사업별 경제적 파급효과 분석 - 정성적 자료 기반의 시스템다이내믹스 예측모형 개발 -)

  • Hwang, Sungjoo;Park, Moonseo;Lee, Hyun-Soo;Jang, Youjin;Moon, Myung-Gi;Moon, Yeji
    • Korean Journal of Construction Engineering and Management
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    • v.14 no.2
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    • pp.131-140
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    • 2013
  • Econometric forecast models based on past time-series data have been applied to a wide variety of applications due to their advantages in short-term point estimating. These models are particularly used in predicting the impact of governmental research and development (R&D) programs because program managers should assert their feasibility due to R&D program's huge amount of budget. The construction governmental R&D programs, however, separately make an investment by dividing total budget into five sub-business area. It make R&D program managers difficult to understand how R&D programs affect the whole system including economy because they are restricted with regard to many dependent and dynamic variables. In this regard, system dynamics (SD) model provides an analytic solution for complex, nonlinear, and dynamic systems such as the impacts of R&D programs by focusing on interactions among variables and understanding their structures. This research, therefore, developed SD model to capture the different impacts of five construction R&D sub-business by considering different characteristics of sub-business area. To overcome the SD's disadvantages in point estimating, this research also proposed the method for constructing quantitative forecasting model using qualitative data. Understanding the different characteristics of each construction R&D sub-business can support R&D program managers to demonstrate their feasibility of capital investment.

A Study on the Relationship between Public Subsidies and Private R&D Expenditure: A Meta-Regression Analysis of the Econometric Evidence (정부보조금의 민간R&D투자에 대한 관계: 계량경제학적 문헌에 대한 메타회귀분석)

  • Kim, Ho;Kim, Byung-Keun
    • Journal of Technology Innovation
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    • v.19 no.3
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    • pp.141-174
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    • 2011
  • This paper presents the results of a meta-regression analysis on econometric evidence concerning the relationship between public funding of R&D and private R&D expenditure by reviewing literature and synthesizing existing results. The analysis on the effects of public financing on private investments in R&D has been the object of numerous studies, none of which having arrived at definite conclusion. A meta-analysis based upon a data-base including all relevant studies was carried out to examine whether the characteristics of the applied analysis influence the results. Three different empirical results are presented.

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An Analytical Study on Research Trends of Resource Organization in Korea : 1970~2010 (한국의 자료조직 분야 연구동향 분석 : 1970~2010)

  • Kim, Jeong-Hyen
    • Journal of Korean Library and Information Science Society
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    • v.42 no.3
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    • pp.149-164
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    • 2011
  • This study is to represent the research trends of the resource organization in Korea through the analysis of 607 papers related with resource organization in 4,015 papers on journals of 6 library & information science societies from 1970 through 2010. The results of this study are as follows. The average yearly papers in the case of academic journals published 14.8 pieces. The year published the largest number of papers: 2005 and 2009. The order of the number of papers by the domain of resource organization: cataloging, classification, indexing and abstracting, metadata, subject analysis. And the research on basic principle or theory in the resource organization showed insufficient. The research on KDC classification, cataloging rule, metadata element has are usually presented for improvements. But most of the research is not empirical analysis or objective assessment but subjective judgments of the researchers.

A time rivers outflow interpreting according to an agriculture reservoir operation (농업용저수지 운영에 따른 시기별 하천유출 해석)

  • Oh, Seung-Tae;Kim, Jin-Taek
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.173-177
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    • 2007
  • 현재 농업용수 이용량은 158억$m^3/yr$로 우리나라 전체 수자원이용량의 48%에 해당되며 하천유지수량을 제외하였을 경우 61%에 해당된다. 농업용수의 이용은 노후화된 농업수리시설과 관리기술 부족 등의 원인으로 이용효율이 낮은 것으로 추정되고 있다. 그러나 이러한 현황을 뒷받침해 줄 측정 및 조사자료가 부족한 실정이다. 농업용수의 물관리 연구는 장기간의 신뢰성 있는 수문자료의 획득이 절대적으로 필요하고 실제 현장에서의 물관리 상황을 조사파악하는 것이 중요한다. 이러한 자료의 축척은 체계적이고 일관되게 수행되어야 한다. 이를 위하여 한국농촌공사에서는 2000년에 경기도 용인에 위치한 이동저수지 유역을 종합시험지구로 선정하여 운영하게 되었다. 이동시험지구는 경기도 용인시, 평택시, 안성시, 사이에 위치한 전형적인 농촌지역이다. 저수지와 양수장 시설이 복합적으로 운영되어 농업용수를 공급하는 지구로 농업용수의 물관리 연구 수행을 위해 적합한 지역이다. 이동시험지구에 강우계, 저수지 수위계, 하천 수위계, 수로 수위계를 설치하여 운영하고 있으며 정기적으로 유지 관리 및 자료수집을 함으로써 신뢰성 있는 농촌지역 수문자료를 축척하고 있다. 이동시험지구의 운영은 농업용수 물관리와 관련된 체계적이고 신뢰성 있는 장기간의 수문자료를 축척하고 축척된 현장 자료의 분석을 통해 물관리 기초자료를 계량화 하는데 그 목적이 있다. 본 연구의 목적은 실제 농업용 저수지의 용수공급 운영에 따라 하천에서의 유출특성에 대한 조사를 통하여, 농업용저수지가 하천에 미치는 영향을 파악하고자 한다. 시험지구 덕성교 하천수위관측지점의 하천유출율은 65 %, 재인교 하천수위관측지점의 경우 하천유출율은 60 %를 나타내었다. 이동유역의 경우 상류에 저수지가 있으며 저수지의 시기별 저수상태와 강우량에 따라 유출에 영향을 받고 있다. 1월에 상류 저수지의 저수상태가 만수를 유지하고 있었으며 예년에 비하여 많은 강우가 발생하여 저수위 조절 차원에서 인위적으로 방류한 양이 많았기 때문으로 추정할 수 있다. 두 지점의 1월 유출이 100 % 이상인 것은 동절기 하천 결빙으로 인한 유량파악이 힘든 것으로 나타났다. 1월의 하천수위는 계측기에 기록된 수위값으로 유량을 산정한 것이다. 3월, 10월, 12월의 유출이 많은 것은 전월말 발생한 강우의 영향으로 크게 나타났다.

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Visualizing (X,Y) Data by Partial Least Squares Method (PLS 기법에 의한 (X,Y) 자료의 시각화)

  • Huh, Myung-Hoe;Lee, Yong-Goo;Yi, Seong-Keun
    • The Korean Journal of Applied Statistics
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    • v.20 no.2
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    • pp.345-355
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    • 2007
  • PLS methods are suited for regressing q-variate Y variables on p-variate X variables even in the presence of multicollinearity problem among X variables. Consequently, they are useful for analyzing datasets with smaller number of observations compared to the number of variables, such as NIR(near-infrared) spectroscopy data in chemometrics. In this study, we propose two visualizing methods of p-variate X variables and q-variate Y variable that can be used in connection with PLS analysis.

Volatility Analysis for Multivariate Time Series via Dimension Reduction (차원축소를 통한 다변량 시계열의 변동성 분석 및 응용)

  • Song, Eu-Gine;Choi, Moon-Sun;Hwang, S.Y.
    • Communications for Statistical Applications and Methods
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    • v.15 no.6
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    • pp.825-835
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    • 2008
  • Multivariate GARCH(MGARCH) has been useful in financial studies and econometrics for modeling volatilities and correlations between components of multivariate time series. An obvious drawback lies in that the number of parameters increases rapidly with the number of variables involved. This thesis tries to resolve the problem by using dimension reduction technique. We briefly review both factor models for dimension reduction and the MGARCH models including EWMA (Exponentially weighted moving-average model), DVEC(Diagonal VEC model), BEKK and CCC(Constant conditional correlation model). We create meaningful portfolios obtained after reducing dimension through statistical factor models and fundamental factor models and in turn these portfolios are applied to MGARCH. In addition, we compare portfolios by assessing MSE, MAD(Mean absolute deviation) and VaR(Value at Risk). Various financial time series are analyzed for illustration.

A study on market-production model building for small bar steels (소봉제품의 시장생산 모형 구축에 관한 연구)

  • 김수홍;유정빈
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.10a
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    • pp.139-145
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    • 1996
  • A forecast on the past output data sets of small bar steels is very important information to make a decision on the future production quantities. In many cases, however, it has been mainly determined by experience (or rule of thumb). In this paper, past basic data sets of each small bar steels are statistically analyzed by some graphical and statistical forecasting methods. This work is mainly done by SAS. Among various quantitative forecasting methods in SAS, STEPAR forecasting method was best performed to the above data sets. By the method, the future production quantities of each small bar steels are forecasted. As a result of this statistical analysis, 95% confidence intervals for future forecast quantities are very wide. To improve this problem, a suitable systematic database system, integrated management system of demand-production-inventory and integrated computer system should be required.

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