• Journal of Korean Society for Atmospheric Environment
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• 제24권E1호
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• pp.1-11
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• 2008

Mercury (Hg), which is mainly emitted from coal-fired power plants, remains one of the most toxic compounds to both humans and ecosystems. Hg pollution is not a local or regional issue, but a global issue. Hg compounds emitted from anthropogenic sources such as coal-fired power plants, incinerators, and boilers, can be transported over long distances. Since the last decade, many European countries, Canada, and especially the United States, have focused on technology to control Hg emissions. Korea has also recently showed an interest in managing Hg pollution from various combustion sources. Previous studies indicate that coal-fired power plants are one of the major sources of Hg in Korea. However, lack of Hg emission data and feasible emission controls have been major obstacles in Hg study. In order to achieve effective Hg control, understanding the characteristics of current Hg sampling methods and control technologies is essential. There is no one proven technology that fits all Hg emission sources, because Hg emission and control efficiency depend on fuel type, configuration of air pollution control devices, flue gas composition, among others. Therefore, a broad knowledge of Hg sampling and control technologies is necessary to select the most suitable method for each Hg-emitting source. In this paper, various Hg sampling methods, including wet chemistry, dry sorbents trap, field, and laboratory demonstrated control technologies, and international regulations, are introduced, with a focus on coal-fired power plants.

• Journal of the Korean Statistical Society
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• 제32권2호
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• pp.103-119
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• 2003

Properties of stochastic regression imputation are discussed under the uniform within-cell response model. Variance estimator is proposed and its asymptotic properties are discussed. A limited simulation is also presented.

• Communications for Statistical Applications and Methods
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• 제4권1호
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• pp.185-191
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• 1997

Bayesian estimation of multinomial and Poisson parameters under starshped restriction is considered. Most Bayesian estimations in order restricted statistical inference require the high-dimensional integration which is very difficult to evaluate. Monte Carlo integration and Gibbs sampling are among alternative methods. The Bayesian estimation considered in this paper requires only evaluation of incomplete beta functions which are extensively tabulated.

• 품질경영학회지
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• 제22권4호
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• pp.111-119
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• 1994

We consider logistic models based on retrospective, case-control data with stratified samples and study the Weighted Exogeneous Sampling Maximum Likelihood (WESMU) We develop a consistent estimator of the asymptotic covariance matrix of the WESML estimator.

• 한국대기환경학회지
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• 제30권4호
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• pp.362-377
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• 2014

Polycyclic aromatic hydrocarbons (PAHs) have been of particular concern since they are present both in the vapor and particulate phases in ambient air. In this study, a simple method was applied to determine the vapor phase PAHs, and the performance of the new method was evaluated with a conventional method. The simple method was based on adsorption sampling and thermal desorption with GC/MS analysis, which is generally applied to the determination of volatile organic compounds (VOCs) in the air. A combination of Carbotrap (300 mg) and Carbotrap-C (100 mg) sorbents was used as the adsorbent. Target compounds included two rings PAHs such as naphthalene, acenaphthylene, and acenaphthene. Among them, naphthalene was listed as one of the main HAPs together with a number of VOCs in petroleum refining industries in the USA. For comparison purposes, a method based on adsorption sampling and solvent extraction with GC/MS analysis was adopted, which is in principle same as the NIOSH 5515 method. The performance of the adsorption sampling and thermal desorption method was evaluated with respect to repeatabilities, detection limits, linearities, and storage stabilities for target compounds. The analytical repeatabilities of standard samples are all within 20%. Lower detection limits was estimated to be less than 0.1 ppbv. In the results from comparison studies between two methods for real air samples. Although the correlation coefficients were more than 0.9, a systematic difference between the two groups was revealed by the paired t-test (${\alpha}$=0.05). Concentrations of two-rings PAHs determined by adsorption and thermal desorption method consistently higher than those by solvent extraction method. The difference was caused by not only the poor sampling efficiencies of XAD-2 for target PAHs and but also sample losses during the solvent extraction and concentration procedure. This implies that the levels of lower molecular PAHs tend to be underestimated when determined by a conventional PAH method utilizing XAD-2 (and/or PUF) sampling and solvent extraction method. The adsorption sampling and thermal desorption with GC analysis is very simple, rapid, and reliable for lower-molecular weight PAHs. In addition, the method can be used for the measurement of VOCs in the air simultaneously. Therefore, we recommend that the determination of naphthalene, the most volatile PAH, will be better when it is measured by a VOC method instead of a conventional PAH method from a viewpoint of accuracy.

• 지능정보연구
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• 제28권4호
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• pp.329-346
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• 2022

최근 소셜 미디어의 숏폼(Short form) 동영상(인스타그램, 틱톡, 유튜브) 시장이 점차 증가하면서 인공지능 영역에서는 이를 활용한 연구가 활발히 진행되고 있다. 대표적인 연구분야로 동영상 내의 패션 상품을 탐지하고 상품 이미지를 검색하는 Video to shop 을 들 수 있다. 이와 같은 동영상 기반 인공지능 모델에서는 Convolution 연산을 사용하여 상품의 특징을 추출한다. 하지만 연산 자원의 제한으로 인해, 동영상의 모든 프레임을 사용하여 특징을 추출하는 것은 현실적으로 불가능하다. 이로 인해, 기존 연구에서는 전체 프레임 중 일부만 샘플링해서 사용하거나, 주제의 특성을 활용한 샘플링 방법을 개발하여 이를 통해 위 문제점을 개선하고, 모델의 성능도 향상시켰다. 기존의 Video to shop 연구에서는 프레임을 샘플링 할 때, 무작위로 일부분의 프레임을 샘플링하거나 균등한 간격으로 샘플링 한다. 하지만 이러한 샘플링 방법은 상품이 존재하지 않는 노이즈 프레임을 샘플링 하면서 패션 상품 검색 모델의 성능을 저하시킨다. 이에 본 연구는 노이즈 프레임을 제거하고 검색 모델의 성능을 향상시키는 샘플링 방법 MF(Missing Fashion items on frame) sampler를 제안한다. MF sampler는 키 프레임 메커니즘(Mechanism)을 발전시켜 자원 한계의 문제점을 개선했다. 또한, 노이즈 탐지 모델을 활용한 노이즈 프레임 제거를 통해 검색 모델의 성능을 향상시켰다. 이와 같은 결과는 실험을 통해 확인되었고, Video to shop 패션 상품 검색에 있어 성능 향상과 효과적인 학습이 가능하다는 것을 확인할 수 있었다.

• 응용통계연구
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• 제27권3호
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• pp.501-512
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• 2014

상당수의 사업체 조사는 절사표본설계법을 사용하고 있다. 이는 절사표본설계법에서 얻은 전수층이 많은 정보를 포함하고 있어 전체 표본크기를 최소화 할 수 있는 장점이 있기 때문이다. 그러나 최근 전수층에 포함된 사업체들의 무응답률이 높아감에 따라 전수층이 가지고 있는 장점에 한계가 나타나고 있다. 이에 Lee (2011), Shin과 Lee (2013)는 표본설계 단계에서부터 주어진 허용오차를 만족하면서 전수층 규모를 최소화하는 연구를 실시하였다. 본 연구에서는 주어진 허용오차를 만족하고 Hidiroglou (1986)가 제안한 방법으로 산출 된 표본크기를 고정한 상태에서 표본층 분산에 알려진 함수를 적합하여 전수층 크기를 최소화하는 새로운 최적 절사점을 제안하였다. 또한 Hidiroglou (1986)와 Shin과 Lee (2013)가 제안한 절단분포를 이용한 방법과 본 연구에서 제안한 방법을 모의실험과 사례연구를 통해 비교하였다.

• 아동학회지
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• 제37권2호
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• pp.43-56
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• 2016

Objective: This study examined the effect of early childhood teachers' perceptions of teacher efficacy and professionalism, which are personal traits, when administering the National Childcare Curriculum. Methods: Using snowball sampling, data were collected from 266 childcare center teachers in the nation and were analyzed using one-way analyses of variance and multiple regression using SPSS 14.0. Results and Conclusion: The findings are as the following: First, teacher efficacy was not significantly different among teachers by age, teaching experience, education, and childcare center type. Second, teacher efficacy was significantly related to the perception of their professionalism. Lastly, teachers' perceptions of teacher efficacy and professionalism explained significantly the variance in teachers' performance when administering the National Childcare Curriculum.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.2915-2917
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• 2000

종합 영상정보 매체인 멀티미디어의 효율적인 활용을 위해 다양한 정보들을 영상과 음향 등을 결합하여 전송하거나 저장하고 있다 본 논문에서는 양자화 파라미터를 사용하여 DCT 계수 값을 변화시켜 움직임 영상의 화질을 향상시키는 방법을 제안하였다. DCT 중 DC 계수를 제외한 고주파 성분의 계수에서 원영상의 8*8 블록 내 각 화소들의 평균값을 구하고 그 블록의 평균값과 그 블록 내의 각 화소간의 차를 구하여 이를 절대값으로 변환하고 그 합을 구하였다. DABP 값과 DCT 계수와의 상관관계를 구명하여 블록계수로 하였으며 이 블록계수를 사용하여 DCT 고주파 성분을 조정하므로 영상의 화질을 향상시켰다.

• 아동학회지
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• 제33권4호
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• pp.19-34
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• 2012

This study investigated the differences in time use patterns and psychological states across daily activity contexts and interpersonal contexts, depending on the levels of school maladjustment among elementary school students. Using the Experience Sampling Method (ESM), 107 elementary school 6th grade students' daily time use patterns and psychological states across daily contexts were measured six times a day over a period of 4 days. Using the school maladjustment scale, an internal problem based school maladjusted group and an external problem based school maladjusted group were identified and selected. The daily time use patterns and psychological states of both school maladjusted groups were compared to those of the adjusted groups. The principle findings are as follows: first, the school maladjusted group students' daily time use patterns across daily activity contexts or interpersonal contexts did not differ from those of the students from the school adjusted group. Second, the school maladjusted group students experienced more negative emotions, lower concentration levels, and lower motivation levels across daily contexts than the school adjusted group students. These differences in motivation between the external problem school maladjusted group and adjusted group, however, were greater in the schoolwork context compared to the other daily activity contexts. The findings were discussed in the contexts of the daily experiences of child school maladjustment.