• 대한산업공학회지
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• 제42권4호
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• pp.263-269
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• 2016

The purpose of this study is to challenge a computational regression-type problem, that is handling large-size data, in which conventional metamodeling techniques often fail in a practical sense. To solve such problems, regression-type boosting, one of ensemble model techniques, together with bootstrapping-based re-sampling is a reasonable choice. This study suggests weight updates by the amount of the residual itself and a new error decision criterion which constructs an ensemble model of models selectively chosen by rejection limits. Through these ideas, we propose AdaBoost.RMU.R as a metamodeling technique suitable for handling large-size data. To assess the performance of the proposed method in comparison to some existing methods, we used 6 mathematical problems. For each problem, we computed the average and the standard deviation of residuals between real response values and predicted response values. Results revealed that the average and the standard deviation of AdaBoost.RMU.R were improved than those of other algorithms.

• 한국환경농학회지
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• 제42권2호
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• pp.93-103
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• 2023

Persistence and degradation patterns of acequinocyl and its metabolite, hydroxyl-acequinocyl (acequinocyl-OH) and fenpyroximate in butterburs (Petasites japonicus Max.) were investigated after pesticide application. Butterburs, one of the minor crops in South Korea, was planted in two plots (plot A for double and plot B for single application) in a greenhouse. Butterburs samples were also planted in a separate plot without pesticide treatment, as the control. A commercial pesticide containing acequinocyl and fenpyroximate was applied to the foliage of butterburs at hourly intervals after dilution. Recoveries of acequinocyl and acequinocyl-OH were 78.6-84.7% and 83.7-95.5%, respectively; the relative standard deviation of the two compounds were less than 5%. The method limit of quantification was 0.01 mg/kg. The total (Ʃ) acequinocyl residues in butterburs reduced by 96.0% at 14 days and 75.9% at 7 days, in plot A and B, respectively, after final pesticide applications. The biological half-life (DT₅₀) of Ʃ acequinocyl and fenpyroximate, calculated using the dissipation rate, was 3.0 days and 4.0 days, respectively. These data were used to set up maximum residue and safe standard levels when the pesticides are applied to control pests during butterbur cultivation. Risk assessment results showed that the maximum % acceptable daily intake was 7.74% for Ʃ acequinocyl and 0.16% for Ʃ fenpyroximate. The theoretical maximum daily intake of Ʃ acequinocyl and fenpyroximate was 26.3% and 35.8%, respectively. In conclusion, the concentrations of Ʃ acequinocyl and fenpyroximate in butterburs pose no significant health risks to Koreans.

• 한국항행학회논문지
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• 제25권1호
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• pp.84-89
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• 2021

표준 단일 모드 광섬유가 가지는 색 분산과 비선형 현상에 의한 광 신호 왜곡을 보상할 수 있는 분산 제어와 광 위상 공액이 결합된 링크의 한계인 대칭적 구조를 해결할 수 있는 방법을 제안하였다. 대칭적 구조는 전반 전송 구간과 후반 전송 구간의 중계 구간수, 분산 분포 등등이 광 위상 공액기를 중심으로 대칭되어야 한다는 것을 의미한다. 본 연구에서 제안하는 분산 제어 링크는 광 위상 공액기가 전반의 6개 중계 구간과 후반의 14개 사이에 존재하고, 각 전송 반 구간에서의 평균 중계 구간 당 잉여 분산 (RDPS; residual dispersion per span)이 서로 동일한 구조이다. 제안된 분산 제어 링크에서의 광 신호 왜곡 보상 효과의 분석은 평균 RDPS가 각 전송 반 구간에서 서로 다르게 설정된 링크에서의 결과와의 비교를 통해 이루어졌다. 시뮬레이션 결과 전송 반 구간 사이의 RDPS 평균값의 동일 여부보다 인접한 중계 구간 간 RDPS 편차가 보상에 더 큰 영향을 미치는 것은 확인하였다.

• 한국항행학회논문지
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• 제25권3호
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• pp.194-202
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• 2021

GNSS (global navigation satellite system)측정치 보정 후에 남아 있는 전리층 잔류 오차에 대해 시뮬레이션 기반의 영향분석(오차 및 서비스 영역 분석 등)을 수행하기 위해서는 위해서는 전리층 잔류 오차에 대한 통계적 모델링이 필수적으로 선행되어야 한다. 본 논문에서는 국내 GNSS 측정치 및 Klobuchar 모델을 활용하여 국내 정상상태 전리층 환경에서의 전리층 잔류 오차에 대한 보수적인 표준편차의 해석적 모델을 도출하였다. 다양한 전리층 활동 상태를 포함하기 위해 미(美) CAT I (category I) LAAS (local-area augmentation system) 전리층 통계치 산출일 중 ROTI (rate-of-tec index) 지수를 활용하여 전리층 활동이 비정상적인 날짜는 제외하고 GNSS 분석 데이터를 구성하였다. GNSS 데이터 처리를 통해 전리층 잔류 오차를 계산하고, 잔류 오차 거동의 특성을 근거하여 지역 시 및 위성 앙각에 따라 통계치를 산출하였다. 마지막으로 전리층 잔류 오차의 확률적 거동을 보수적으로 포함할 수 있는 표준편차값에 대한 해석적 모델을 감쇠 지수 접합을 통해 도출하였다.

• 산업경영시스템학회지
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• 제42권1호
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• pp.151-157
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• 2019

This study is about the process capability index (PCI). In this study, we introduce several indices including the index $C_{PR}$ and present the characteristics of the $C_{PR}$ as well as its validity. The difference between the other indices and the $C_{PR}$ is the way we use to estimate the standard deviation. Calculating the index, most indices use sample standard deviation while the index $C_{PR}$ uses range R. The sample standard deviation is generally a better estimator than the range R. But in the case of the panel process, the $C_{PR}$ has more consistency than the other indices at the point of non-conforming ratio which is an important term in quality control. The reason why the $C_{PR}$ using the range has better consistency is explained by introducing the concept of 'flatness ratio'. At least one million cells are present in one panel, so we can't inspect all of them. In estimating the PCI, it is necessary to consider the inspection cost together with the consistency. Even though we want smaller sample size at the point of inspection cost, the small sample size makes the PCI unreliable. There is 'trade off' between the inspection cost and the accuracy of the PCI. Therefore, we should obtain as large a sample size as possible under the allowed inspection cost. In order for $C_{PR}$ to be used throughout the industry, it is necessary to analyze the characteristics of the $C_{PR}$. Because the $C_{PR}$ is a kind of index including subgroup concept, the analysis should be done at the point of sample size of the subgroup. We present numerical analysis results of $C_{PR}$ by the data from the random number generating method. In this study, we also show the difference between the $C_{PR}$ using the range and the $C_P$ which is a representative index using the sample standard deviation. Regression analysis was used for the numerical analysis of the sample data. In addition, residual analysis and equal variance analysis was also conducted.

• Journal of Forest and Environmental Science
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• 제32권3호
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• pp.280-290
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• 2016

Stem diameter variability is an essential inventory result that provides useful information in forest management decisions. Little has been done to explore the modelling potentials of standard deviation (SDD) and coefficient of variation (CVD) of diameter at breast height (dbh). This study, therefore, was aimed at developing and testing models for predicting SDD and CVD in stands of Pinus caribaea Morelet (pine) in south west Nigeria. Sixty temporary sample plots of size $20m{\times}20m$, ranging between 15 and 37 years were sampled, covering the entire range of pine in south west Nigeria. The dbh (cm), total and merchantable heights (m), number of stems and age of trees were measured within each plot. Basal area ($m^2$), site index (m), relative spacing and percentile positions of dbh at $24^{th}$, $63^{rd}$, $76^{th}$ and $93^{rd}$ (i.e. $P_{24}$, $P_{63}$, $P_{76}$ and $P_{93}$) were computed from measured variables for each plot. Linear mixed model (LMM) was used to test the effects of locations (fixed) and plots (random). Six candidate models (3 for SDD and 3 for CVD), using three categories of explanatory variables (i.e. (i) only stand size measures, (ii) distribution measures, and (iii) combination of i and ii). The best model was chosen based on smaller relative standard error (RSE), prediction residual sum of squares (PRESS), corrected Akaike Information Criterion ($AIC_c$) and larger coefficient of determination ($R^2$). The results of the LMM indicated that location and plot effects were not significant. The CVD and SDD models having only measures of percentiles (i.e. $P_{24}$ and $P_{93}$) as predictors produced better predictions than others. However, CVD model produced the overall best predictions, because of the lower RSE and stability in measuring variability across different stand developments. The results demonstrate the potentials of CVD in modelling stem diameter variability in relationship with percentiles variables.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2003년도 총회 및 춘계학술발표회
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• pp.259-262
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• 2003

In the Republic of Korea, Ministry of Construction & Transportation and Korea Water Resources Corporation manage the national groundwater monitoring network at the 169 stations and will organize the supplementary groundwater monitoring network at the 10,000 stations by 2011 year. The method that organizes the monitoring network was developed using the Analytic Hierarchy Process with pairwise comparison. Several estimation factors for the estimating every district were selected to reflect each district conditions. Their weighting value was decided by pairwise comparison and questions to the experts about groundwater The optimal number of groundwater monitoring well was calculated through the developed method. To verify this method, groundwater was monitored in Jeonju city by way showing the example. The study area In Jeonju city needs 7 stations for the supplementary groundwater monitoring network. The results monitored in 7 stations inferred the groundwater level around the study area by Kriging. The mean of residual between inferred groundwater level value from Kriging and actual groundwater level is rather low. Furthermore, the mean and standard deviation of residual between inferred groundwater level change and actual groundwater change is much lower. The Fact that 7 monitoring stations are sufficient for observing the groundwater condition in the study area makes it possible for suggested monitoring number to be proper.

• Mass Spectrometry Letters
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• 제9권4호
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• pp.100-104
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• 2018

As a part of efforts to establish the positive list system (PLS) in South Korea, a method to determine residual emamectin benzoate (EB) in various aquatic products using QuEChERS-EDTA and LC-MRM was developed. The developed method was validated in the aspects of specificity, linearity (correlation coefficient of at least 0.996), sensitivity (the limit of detection and the lower limit of quantitation ${\leq}5ng/g$), recovery (the recovery range of 87.4 and 96.2), and precision (the relative standard deviation of recovery between 0.9 and 13.5). Additionally, the validated method was successfully applied for monitoring EB contamination in eel, halibut, and shrimp collected from local food markets. To our knowledge, the present method is the first one to determine residual EB in various aquatic products at the level satisfying the PLS and could contribute to the establishment of the PLS in South Korea.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.228-230
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• 2002

The relative electron density resolution was discussed by the noise power spectrum (NPS) in the heavy ion CT image. The heavy ion beam $\^$12/C accelerated up to 400MeV/u by RIMAC was used in this study. The two-dimensional (2-D) NPS in the CT image was obtained from the one-dimensional (1-D) NPS of the measured residual range distribution of water phantom for single projection, and the noise variance in the CT image was calculated from 2-D NPS. The technique used in the reconstruction was the filtered back-projection method with Shepp-Logan filter. The calculated value suggests the result of our previous works using the density resolution phantom, assuming that the relative electron density resolution is twice the standard deviation. Therefore, the estimation of the noise in CT images by 2-D NPS obtained the measured residual range distribution is the useful method.

• 청정기술
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• 제14권2호
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• pp.103-109
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• 2008

본 연구에서는 솔더페이스트(solder paste)로 솔더링후 표면에 잔류하는 플럭스(flux)의 효과적인 세정성능 평가방법 개발을 목적으로 하였다. 솔더링시 플럭스의 퍼짐오차를 줄이기 위해 본 연구에서 고안한 금속치구를 이용하여 1,1,1-TCE 및 플럭스 제거용 몇 가지 대표 준수계 대체세정제에 대하여 세정시간에 따른 플럭스 제거율을 무게측정법으로 측정, 비교하였다. 세정시간 변화에 따른 각 세정제의 세정효율을 측정한 결과 측정값들의 상대표준편차(RSD)가 약 4%이하로 data의 신뢰성이 확인되었다. 따라서 솔더페이스트로 솔더링후 대체세정제의 잔류플럭스의 세정성능 평가시험에 본 연구에서 적용한 금속치구(metal test tool)를 이용한 평가방법이 유력한 방법으로 적용가능할 것으로 판단된다. 그리고 이 평가방법을 적용한 결과 현재 상용화 되어 있는 우수하다고 알려진 몇 가지 대표 준수계 대체세정제 중 ST100SX와 750H가 고활성 플럭스에 대한 세정력이 우수한 성능을 나타냈으나 기존의 1,1,1-TCE에 비해서는 현저히 떨어짐을 확인할 수 있었다.