• Environmental Analysis Health and Toxicology
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• 제5권3_4호
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• pp.47-56
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• 1990

Smoking damages nonsmoker's health who have been exposed to passive smoking as well as smoker's own health. Passive smoking can cause serious health damage to particular groups, such as the old aged, children and pregnant women. The purpose of this study is to investigate the relationship between nicotine concentrations in environmental tobacco smoke (ETS) and urinary cotinine concentrations of nonsmokers exposed to ETS, and to provide basic information related to health risk assessment. The results of this study were summarized as follows: 1. When 180 cigarrette were smoked during S hours (high concentrations exposure) in 132 m$^3$chamber, mean concentrations of nicotine in ETS showed 263.52 $\mu\textrm{g}$/m$^3$${\pm}$51.93. When 45 cigarretts were smoked (low concentrations exposure), it was 69.43${\pm}$8.96 $\mu\textrm{g}$/m$^3$. 2. The urinary cotinine concentrations of each times (0, 2.5, 5, 17 and 24 hours) in nonsmokers ranged from 0.27∼12.52 ng/ml in high concentrations exposure and 0.22∼2.28 ng/ml in low concentrations exposure. Mean while the total urinary cotinine concentrations during 24 hours ranged from 11.62∼31.65 ng/ml in high concentrations exposure and 3.45∼5.64 ng/ml in low concentrations exposure. 3. The correlation equation and coefficient between cotinine concentrations in nonsmokers' urine (y) and nicotine concentrations in ETS (x) was y=0.421+0.0171x and 0:875 (p<0.01) respectively, 4. The quantity of nonsmokers' smoking exposure by passive smoking can be assumed as based on the estimation of nicotine concentrations in ETS by measuring cotinine concentrations of nonsmokers' urine.

• 생명과학회지
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• 제23권2호
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• pp.306-310
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• 2013

본 연구는 요중 아플라톡신 M1 (AFM1)의 농도를 측정할 수 있는 competitive ELISA 방법의 특성을 HPLC-fluorescence detector (HPLC-FLD) 방법과 비교하여 평가하였다. ELISA 방법에서의 AFM1의 회수율은 105% (73-124%)였고 측정의 변이계수는 6.85%로 나타났다. ELISA 방법에서의 검출한계와 정량한계는 각각 0.20 pg/ml과 0.62 pg/ml로 조사되었으며, 두 방법을 이용하여 측정한 요중 AFM1 농도는 상관계수 0.96의 매우 높은 상관성이 있는 것으로 확인되었다(p<0.01). 그러나, 이렇게 높은 상관성에도 불구하고, ELISA 방법을 이용한 요중 AFM1의 농도는 HPLC-FLD 방법으로 측정한 값에 비해 상대적으로 높게 나타나는 경향을 보여 ELISA를 이용한 방법이 단시간에 많은 시료를 분석할 수 있는 장점은 있으나 그 결과는 HPLC-FLD 방법을 이용해서 얻은 회귀식을 이용하여 보정을 한 후 제시할 필요가 있는 것으로 판단된다.

• Structural Engineering and Mechanics
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• 제90권1호
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• pp.27-40
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• 2024

The prediction of VIV amplitude is essential for the design and fatigue life estimation of steel tubes in tubular transmission towers. Limited to costly and time-consuming traditional experimental and computational fluid dynamics (CFD) methods, a machine learning (ML)-based method is proposed to efficiently predict the VIV amplitude of steel tubes in transmission towers. Firstly, by introducing the first-order mode shape to the two-dimensional CFD method, a simplified response analysis method (SRAM) is presented to calculate the VIV amplitude of steel tubes in transmission towers, which enables to build a dataset for training ML models. Then, by taking mass ratio M^*, damping ratio ξ, and reduced velocity U^* as the input variables, a Kriging-based prediction method (KPM) is further proposed to estimate the VIV amplitude of steel tubes in transmission towers by combining the SRAM with the Kriging-based ML model. Finally, the feasibility and effectiveness of the proposed methods are demonstrated by using three full-scale steel tubes with C-shaped, Cross-shaped, and Flange-plate joints, respectively. The results show that the SRAM can reasonably calculate the VIV amplitude, in which the relative errors of VIV maximum amplitude in three examples are less than 6%. Meanwhile, the KPM can well predict the VIV amplitude of steel tubes in transmission towers within the studied range of M^*, ξ and U^*. Particularly, the KPM presents an excellent capability in estimating the VIV maximum amplitude by using the reduced damping parameter S_G.

• 분석과학
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• 제7권3호
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• pp.285-291
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• 1994

Trichosporon cutaneum을 투석막과 기체투과막 사이에 고정화시켜 산소전극에 부착함으로써 연속적으로 측정할 수 있는 BOD 센서를 개발하였다. 이 센서의 최적 조건은 pH 7.0, $32{\sim}33^{\circ}C$의 온도, $2{\sim}3ml/min$의 flow rate 및 0.1M phosphate 완충용액이었다. ${\Delta}DO$에 대하여 GGA 표준용액의 농도를 도시하였을 때 GGA 60mg/l 이하에서 직선성을 나타니었으며, 30mg/L의 GGA를 사용하였을 때 재현성은 3%의 오차범위를 나타내었다. DO값은 30일 동안 거의 일정하였으며, 감응시간과 회복시간은 각각 약 5분과 10분이었다. 이 센서를 이용하여 실제 폐수의 BOD를 측정하여 $BOD_5$법과 비하였다.

• 한국통신학회논문지
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• 제36권4C호
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• pp.241-253
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• 2011

본 논문에서는 릴레이 기반 무선 통신 환경에서 기존의 CFNC (Complex Field Network Coding) 기법 적용 시 발생하는 문제점들을 개선하는 방안을 제시한다. CFNC 기법은 간단한 복소 덧셈 및 뺄셈 연산을 통해 상 하향 링크 신호 교환에 요구되는 시간 구간을 최소화함으로써 전송 효율을 극대화하는 장점을 가진다. 그러나, 기존의 CFNC 기법은 릴레이에서의 ML (Maximum Likelihood) 판정 과정에서 큰 폭의 성능 열화가 발생하는 단점이 있다. 또한, CFNC 기법 적용 시 릴레이의 수신 신호에 다중 주파수 오프셋이 발생함에 따라 릴레이의 미세 주파수 오프셋 추정 성능이 열화 되는 한편, 주파수 오프셋 보상 이후에도 잔류 주파수 오프셋으로 인한 성능 열화가 발생하는 문제점이 있다. 따라서 본 논문에서는 상향 링크의 송신 다이버시티를 이용함으로써 정확도를 개선 가능한 새로운 ML 판정 기법 및 다중 주파수 오프셋 환경에서 적용 가능한 새로운 미세 주파수 오프셋 추정, 보상 기법을 제안한다. 다양한 환경에서의 컴퓨터 모의실험을 통해 제안된 기법들이 CFNC 기법 적용 시 발생하는 문제점들을 효과적으로 개선 가능함을 입증한다.

• 한국물환경학회지
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• 제33권3호
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• pp.326-333
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• 2017

The lakes and reservoirs have been reported as important sources of carbon emissions to the atmosphere in many countries. Although field experiments and theoretical investigations based on the fundamental gas exchange theory have proposed the quantitative amounts of Net Atmospheric Flux (NAF) in various climate regions, there are still large uncertainties at the global scale estimation. Mechanistic models can be used for understanding and estimating the temporal and spatial variations of the NAFs considering complicated hydrodynamic and biogeochemical processes in a reservoir, but these models require extensive and expensive datasets and model parameters. On the other hand, data driven machine learning (ML) algorithms are likely to be alternative tools to estimate the NAFs in responding to independent environmental variables. The objective of this study was to develop random forest (RF) and multi-layer artificial neural network (ANN) models for the estimation of the daily $CO_2$ NAFs in Daecheong Reservoir located in Geum River of Korea, and compare the models performance against the multiple linear regression (MLR) model that proposed in the previous study (Chung et al., 2016). As a result, the RF and ANN models showed much enhanced performance in the estimation of the high NAF values, while MLR model significantly under estimated them. Across validation with 10-fold random samplings was applied to evaluate the performance of three models, and indicated that the ANN model is best, and followed by RF and MLR models.

• JSTS:Journal of Semiconductor Technology and Science
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• 제15권2호
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• pp.255-266
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• 2015

In this paper, a low-complexity and low-power soft output multiple input multiple output (MIMO) symbol detector is proposed for mobile devices with two transmit and two receive antennas. The proposed symbol detector can support both the spatial multiplexing mode and spatial diversity mode in single hardware and shows the optimal maximum likelihood (ML) performance. By applying a multi-stage pipeline structure and using a complex multiplier based on the polar-coordinate, the complexity of the proposed architecture is dramatically decreased. Also, by applying a clock-gating scheme to the internal modules for MIMO modes, the power consumption is also reduced. The proposed symbol detector was designed using a hardware description language (HDL) and implemented using a 65nm CMOS standard cell library. With the proposed architecture, the proposed MIMO detector takes up an area of approximately $0.31mm^2$ with 183K equivalent gates and achieves a 150Mbps throughput. Also, the power estimation results show that the proposed MIMO detector can reduce the power consumption by a maximum of 85% for the various test cases.

• 대한수의학회지
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• 제22권2호
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• pp.111-114
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• 1982

In order to explore more efficient protein substitutes by improving the utilization of non-protein nitrogen compounds in ruminants, the experiment was undertaken. The effects of sulfur coated urea (SCU) and diuredio isobutane (DUIB) in the ruminal fluid on the concentration of $NH_3-N$, the total count of the ruminal ciliates and pH value were estimated in vitro. The results obtained from the experiment were as follows: 1. The pH of the media of the group added diuredio isobutane and sulfur costed urea tends to decrease slightly at 9 hours after the incubation, but no pH changes were observed in the media added urea alone. 2. The number of the ciliates in the ruminal fluid was slightly increased 9 hours after the incubation in all groups. 3. The concentrations of $NH_3-N$ in the ruminal fluid were gradually increased according to the incubation in vitro showing 418, 431 and $627{\mu}g/ml$ in the group added diuredio isobutane and 428, 569 and $792{\mu}g/ml$ in the group added sulfur coated urea at 0, 0.5 and 9 hours after the incubation, respectively.

• 대한전자공학회논문지SP
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• 제42권4호
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• pp.39-48
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• 2005

본 논문에서는 Bayesian 추정법과 신경회로망을 이용한 새로운 결 분할 방법을 제안한다 신경회로망의 입력으로는 다중스케일을 가지는 웨이블릿 계수와 인접한 이웃 웨이블릿 계수들의 문맥정보를 사용하고, 신경회로망의 출력을 사후 확률로 모델링한다. 문맥정보는 HMT(Hidden Markov Tree) 모델을 이용하여 구한다. 제안 방법은 HMT를 이용한 ML(Maximum Likelihood) 분할 보다 더 우수한 결과를 보여준다. 또한 HMT를 이용한 결 분할 방법과 제안 방법을 이용한 결 분할 각각에 HMTseg라고 불리는 다중 스케일 Bayesian 영상 분할 기술을 이용하여 후처리를 행한 결 분할 또한 제안 방법이 우수함을 보여준다.

• 한국통신학회논문지
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• 제37권5A호
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• pp.298-304
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• 2012

본 논문에서는 비정규 잡음 환경에서 orthogonal frequency division multiplexing 시스템의 주파수 옵셋을 신뢰성 있게 추정하는 기법들을 제안한다. 먼저 비정규 잡음을 복소 등방성 Cauchy 확률과정으로 모형화한 후 최대우도 (maximum-likelihood) 추정 기법을 제안하고, 또한 더 간단한 최대우도 추정 기반 준최적 추정 기법을 제안한다. 모의실험 결과를 통해 제안한 기법들이 기존의 기법들에 비해 비정규 잡음 환경에서 더 좋은 주파수 옵셋 추정 성능을 가질 뿐 아니라, 비정규 잡음 환경에서 강인함을 보인다.