• Journal of Korean Home Economics Education Association
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• v.35 no.1
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• pp.53-72
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• 2023

This study aimed to develop educational material on the proper use of plant-based milk alternatives in the form of a card news, based on a focus group interview(FGI) with adult consumers. The FGI participants were individuals who had directly purchased cow's milk, soy milk, or other plant-based milk alternatives within the past three months and consumed them at least once a month. The study consisted of 17 adults between the ages of 19 and 63 years who met these criteria(9 males and 8 females). It was identified what participants were curious about, interested in, and needed information regarding the proper use of plant-based milk alternatives through FGI. A 10-page card news was developed that was highly usable, taking into account the FGI results and the latest literature. In conclusion, this study developed a card news aimed at promoting the proper use of plant-based milk alternatives, which can be easily disseminated online in line with the trends in food consumption and digitization. The results of this study suggest that the continuous development and distribution of educational materials that reflect food consumption trends and maximize their usability should be provided for dietary life education, such as school subjects or out-of-school programs.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.155-158
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• 2013

사회 전반에 의료의 다원화 혹은 다변화를 요구하는 열망이 높아져 가고 있다. 이는 '대체의학'의 도입과 직결된 문제라 할 수 있다. 본 연구에서는, 최근 법률정보에 따르면 헌법재판소의 의료법에 대한 합헌결정으로 불거진 대체의학의 제도화 움직임을 시작으로 향후 대체의학의 제도화 모델을 결론으로 그 내용을 담았다. 이는 대체의학을 '왜' 도입하여야 하는 가의 논의단계를 지나 '어떻게' 대체의학을 도입할 것인가의 문제로 논의의 방향성을 제시함과 동시에 선행연구들을 면밀히 분석하여 재조명하므로 써 지금까지 축적되어온 연구 자료들을 충분히 고찰 하고자 하였다. 헌법재판소 판결 및 대법원 판례를 바탕으로 대체의학으로 야기되는 법적 쟁점 사항을 분석하고 대체의료행위가 제도화 되기 위한 선결요건을 도출하였다. 또한 무분별하게 사용되고 있는 대체의학에 관한 용어 사용을 재정립하고 향후 대체의학을 공인화 한다면 그 방법은 어떻게 되어야 하는지 그 방안을 제시, 방안 별 장단점을 분석하였다.

• Communications for Statistical Applications and Methods
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• v.3 no.3
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• pp.145-159
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• 1996

항목 무응답은 표본조사에서 비표본오차를 발생시키는 중요한 요인으로 지적되고 있다. 본 논문에서는 현재까지 통계조사의 분석과정에서 직관적으로 제시된 다양한 항목 무응답 대체방법들을 정리하고, 이런 방법들 간의 장.단점과 무응답의 발생 형태에 다른 대체 효과를 실제 사회조사 자료를 이용한 모의 실험을 통하여 비교, 분석하였다.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.685-696
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• 2021

The Korean Economically Active Population Survey (KEAPS) is a national survey that produces employment-related statistics. The main purpose of the survey is to find out the economic activity status (employed/ unemployed/ non-employed) of the people. KEAPS has a unique characteristics caused by the survey method. In this study, through understanding of structural non-response and utilization of past data, we would like to present an improved imputation model. The performance of the proposed model is compared with the existing model through simulation. The performance of the imputation models is evaluated based on the degree of mathing/nonmatching rates. For this, we employ the KEAPS data in November 2019. For the randomly selected ones among the total 59,996 respondents, the six explanatory variables, which are critical in determining the economic activity states, are treated as non-response. The proposed model includes industry variable and job status variable in addition to the explanatory variables used in the precedent research. This is based on the linkage and utilization of past data. The simulation results confirm that the proposed model with additional variables outperforms the existing model in the precedent research. In addition, we consider various scenarios for the number of non-responders by the economic activity status.

• The Korean Journal of Applied Statistics
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• v.29 no.3
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• pp.549-557
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• 2016

Consecutive missing values are likely to occur in long climate data due to system error or defective equipment. Furthermore, it is difficult to impute missing values. However, these complicated problems can be overcame by imputing missing values with reference time series. Reference time series must be composed of similar time series to time series that include missing values. We performed a simulation to compare three missing imputation methods (the adjusted normal ratio method, the regression method and the IDW method) to complete the missing values of time series. A comparison of the three missing imputation methods for the daily mean temperatures at 14 climatological stations indicated that the IDW method was better thanx others at south seaside stations. We also found the regression method was better than others at most stations (except south seaside stations).

• Korea Petroleum Association Journal
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• no.12 s.10
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• pp.94-95
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• 1981

이 자료는 지난 9월10~11일 양일간 일본수출입은행에서 동행주최로 열린 「석유대체에너지개발금융국제세미나」에서 소송자원 에너지청장관이 발표한 강연요지이다.

• The Korean Journal of Applied Statistics
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• v.31 no.1
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• pp.29-40
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• 2018

There are various reasons for missing values when collecting data. Missing values have some influence on the analysis and results; consequently, various methods of processing missing values have been studied to solve the problem. It is thought that the later point of view may be affected by the initial time point value in the repeated measurement data. However, in the existing method, there was no method for the imputation of missing values using this concept. Therefore, we proposed a new missing value imputation method in this study using clustering in initial time point of the repeated measurement data and the measure of property proposed by Kim and Kim (The Korean Communications in Statistics, 30, 463-473, 2017). We also applied the Monte Carlo simulations to compare the performance of the established method and suggested methods in repeated measurement data.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.3
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• pp.191-211
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• 2020

The main purpose of this research is to identify limitations and problems in access to information using reading aids devices for the visually impaired and to suggest ways to activate the use of alternative materials using reading aids devices. A survey was conducted on adults with visual impairment in order to identify the factors of limitation in using reading aids devices. The analysis resulted in six aspects of limiting factors in activating the use of reading aids devices. The approaches for activating the use of reading aids devices were proposed by dividing them into policy and operational aspects, focusing on the limiting factors derived. Policy aspects suggested developing low-cost reading aids devices, increasing awareness of the devices, and complying with Web standard guidelines for improving the applicability of the devices, while operational aspects suggested reinforcing hearing-use functions, expanding information services related to reading aids devices, and enhancing portability of the devices.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.3 no.1 s.4
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• pp.45-52
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• 2004

There are many cities installing ITS(Intelligent Transportation Systems) and running TMC(Trafnc Management Center) to improve mobility and safety of roadway transportation by providing roadway information to drivers. There are many devices in ITS which collect real-time traffic data. We can obtain many valuable traffic data from the devices. But it's impossible to avoid missing traffic data for many reasons such as roadway condition, adversary weather, communication shutdown and problems of the devices itself. We couldn't do any secondary process such as travel time forecasting and other transportation related research due to the missing data. If we use the traffic data to produce AADT and DHV, essential data in roadway planning and design, We might get skewed data that could make big loss. Therefore, He study have explored some imputation techniques such as heuristic methods, regression model, EM algorithm and time-series analysis for the missing traffic volume data using some evaluating indices such as MAPE, RMSE, and Inequality coefficient. We could get the best result from time-series model generating 5.0$\%$, 0.03 and 110 as MAPE, Inequality coefficient and RMSE, respectively. Other techniques produce a little different results, but the results were very encouraging.

• Environmental and Resource Economics Review
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• v.12 no.3
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• pp.427-452
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• 2003

Demand analyses often assume perfect substitution and some level of aggregation before analysis and data collection. Earlier works on this subject are carried out in the context of ordinary demand systems. However, perfect substitution is a degenerate special case in the systems and it is much more easily handled in a system of marginal value functions and no previous analysis has used the marginal value functions to test for perfect substitution and make possible aggregation with prior restrictions. In this article, we present the empirical results on a system of marginal value functions in fisheries and pose testable results of perfect substitution and aggregation. The contribution of this article is new establishment of a set of restrictions implying perfect substitutability among all commodities and the application to the problem of commodity aggregate. A system of marginal value functions is estimated in fisheries and its implication of perfect substitution is reasonably drawn.