• 한국물환경학회지
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• 제27권1호
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• pp.120-128
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• 2011

Korea Groundwater Quality Monitoring Network is a database of annual groundwater quality survey results to prevent groundwater pollution. We estimated contamination index (CI) values for each type of land use, and analyzed temporal trends of pollutant concentration data in the Groundwater Quality Monitoring Network from 2001 to 2009. Among the pollutants considered in the database, the concentrations of nitrate and chloride were higher than their standards. In the case of nitrate, recreation parks, golf courses and general waste dumping regions showed increasing trends according to linear regression analysis, whereas industrial complexes and residential regions of urgan and recreation parks showed increasing trends in the chloride concentration data. According to multiple variable linear regression analysis, EC, pH and topography were major factors influencing CI values. These results suggest that groundwater with a high CI value and increasing trend is vulnerable for potential contamination, which requires more careful groundwater pollution control.

• 대한산업공학회지
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• 제9권2호
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• pp.37-46
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• 1983

The classical deterministic inventory model is investigated for the case of linear trend in demand and constant production rate. Three models are presented so as to minimize the total of set-up and inventory carrying costs over a finite time span. For each of the policies the methods are developed which can determine the optimal production quantities and times at which production should be started. Three policies are compared in point of costs and times for getting solutions and various case examples are also presented.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.340-343
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• 1992

In this paper, To estimate monthly water distribution volume required optimization control of operating scheme & water distribution management for water transmission system in water supply, both Thomas-Fiering technique and Fourier series are compared and analyzed, respectively. Since water distribution volume is periodically repeated and has a linear fluctuation trend, parameters in each element are estimated through dividing into linear fluctuation trend component and periodical component. Finally, results of time-series analysis are proved to be more reasonable than that of Thomas-Fiering techniques by comparing simulation with observation data.

• Communications for Statistical Applications and Methods
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• 제14권3호
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• pp.667-677
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• 2007

In this paper, we propose a method for estimating the mean of a population which has a linear trend, when both n, the sample size, and k, the reciprocal of the sampling fraction, are odd numbers. The proposed method, not having the drawbacks of centered systematic sampling, centered modified sampling and centered balanced sampling, consists of selecting a sample by balanced systematic sampling and estimating the population mean by using interpolation. We compare the efficiency of the proposed method and existing methods under the criterion of the expected mean square error based on the infinite superpopulation model.

• 한국지구과학회지
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• 제42권4호
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• pp.445-458
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• 2021

Gravity Recovery and Climate Experiment (GRACE) gravimeter satellites observed the Earth gravity field with unprecedented accuracy since 2002. After the termination of GRACE mission, GRACE Follow-on (GFO) satellites successively observe global gravity field, but there is missing period between GRACE and GFO about one year. Many previous studies estimated terrestrial water storage (TWS) changes using hydrological models, vertical displacements from global navigation satellite system observations, altimetry, and satellite laser ranging for a continuity of GRACE and GFO data. Recently, in order to predict TWS changes, various machine learning methods are developed such as artificial neural network and multi-linear regression. Previous studies used hydrological and climate data simultaneously as input data of the learning process. Further, they excluded linear trends in input data and GRACE/GFO data because the trend components obtained from GRACE/GFO data were assumed to be the same for other periods. However, hydrological models include high uncertainties, and observational period of GRACE/GFO is not long enough to estimate reliable TWS trends. In this study, we used convolutional neural networks (CNN) method incorporating only climate data set (temperature, evaporation, and precipitation) to predict TWS variations in the missing period of GRACE/GFO. We also make CNN model learn the linear trend of GRACE/GFO data. In most river basins considered in this study, our CNN model successfully predicts seasonal and long-term variations of TWS change.

• 한국지구과학회지
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• 제40권5호
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• pp.487-501
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• 2019

In this study, steric height variability in the East Asian Seas (EAS) has been analyzed by using ocean reanalysis intercomparison project (ORA-IP) data. Results show that there are significant correlations between ocean reanalysis and satellite data except the phase of annual cycle and interannual signals of the Yellow Sea. Reanalysis ensemble derived from 15-different assimilation systems depicts higher correlation (0.706) than objective analysis ensemble (0.296) in the EAS. This correlation coefficient is also much higher than that of the global ocean (0.441). For the long-term variability of the thermosteric sea level during 1993-2010, a significant warming trend is found in the East/Japan Sea, while cooling trend is shown around the Kuroshio extension area. For the halosteric sea level, a dominant freshening trend is found in the EAS. However, below 300 m depth around this area, the signal-to-noise ratio of the linear trend is generally less than one, which is related to the low density of observation data.

• Journal of international Conference on Electrical Machines and Systems
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• 제1권1호
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• pp.61-66
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• 2012

Linear motors has been developed for factory automation, transportation applications, among other applications. As the trend toward compact sizes in micro electronic products progresses, the required motor drives in these applications need to be downsized with increased power densities. It appears that the winding of miniature linear motors is the most awkward part to be scaled down from conventional motor designs when miniaturizing. This paper presents an alternative design for slotless linear motors. A novel flexible printed circuit winding has been applied to obtain a simplified but qualified result. Having explained the prototyping and inspection, a discussion is given to examine the achievement of this study.

• Journal of the Korean Data and Information Science Society
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• 제20권6호
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• pp.1103-1118
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• 2009

유한모집단의 평균 또는 합계를 추정하고자 하는 경우 모집단 단위들의 배열순서는 중요한 의미를 갖는다. 본 논문에서는 표집률의 역수가 짝수이고 표본 크기가 홀수인 경우 선형추세를 갖는 모집단의 평균 또는 합계를 추정하기 위한 두 가지의 방법을 제시하였다. 첫째 방법은 Singh 등(1968)의 변형계통표집을 일반화한 방법으로 표본을 뽑은 뒤, 추정량을 정하는 과정에서 보간법을 사용한 것이며, 둘째 방법은 변형계통표집으로 표본을 뽑은 뒤, 회귀추정법으로 모수를 추정하는 것이다. Cochran (1946)의 무한초모집단 모형에 근거를 둔 기대평균제곱오차를 기준으로 하여 기존의 방법들과 제시된 방법들을 비교하였으며, 제시된 두 방법 간의 상호 비교도 시행하였다.

• Asian Journal of Atmospheric Environment
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• 제11권4호
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• pp.235-253
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• 2017

This study was conducted for analyzing the contribution factors on ozone concentrations and its long term trends in each major city and province in Korea through several statistical methods such as simple linear regression, generalized linear model, KZ-filer, correlation matrix, Kringing method, and cluster analysis. The overall ozone levels in South Korea have been consistently increasing over the past 10 years. The ozone concentrations in Seoul, the biggest city in Korea, are the lowest in all areas with the highest increasing ratio for $95^{th}%$ ozone. It is thought that the active photochemical reaction could affect the higher ozone concentration increase. On the other hand, the ozone concentrations in Jeju are the highest in Korea with the highest increasing ratio for $5^{th}%$, $33^{th}%$, and $50^{th}%$ ozone. It is also thought that the weak $NO_x$ titration could be the reason of higher ozone concentrations in Jeju. In case of Jeju, transport related factors is the major factor affecting the ozone trend. Thus, it is assumed that the variation of ozone trend of Asian region affecting the ozone trend in Jeju, where domestic ozone photochemical reaction is less active than urban area. It is thought that the photochemical reaction plays the role of increasing of ozone concentrations in the urban area, even though the LRT affected on the increase of ozone concentrations in non-urban area.

• 응용통계연구
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• 제13권2호
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• pp.457-476
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• 2000

본 연구에서는 선형추세를 갖는 모집단에 대한 효율적인 표본추출방법과 모평균 추정법을 제안하였다. 이 방법은 계통추출을 확장한 중심균형계통추출을 써서 표본을 뽑은 뒤 표본평균보다 수정된 추정량을 써서 모평균을 추정하는 것이다. 수정된 추정량을 정하는 데에 보간법의 개념을 사용하였다. 제안된 추정량과 기존의 방법에 으한 추정량들의 효율을 Cochran(1946)의 무한초모집단모형에 근거를 둔 기대평균제곱오차를 기준으로 하여 비교하였다. 제안된 방법은 표본크기 n($\geq$5)이 홀수이고 추출률의 역수인 $textsc{k}$가 짝수인 경우에 사용하기 위한 것이다. 모의실험을 이용한 예어서도 역시 좋은 결과가 얻어졌다.