• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 춘계학술발표대회
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• pp.995-997
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• 2014

뇌파는 최근에 가장 많이 연구되고 있는 생체신호이다. 본 연구에서는 오픈 감정뇌파데이터인 DEAP Dataset를 활용한 데이터 분석 실험을 시행하였다. DEAP Dataset는 총 32개의 데이터이며, 32채널로 구성되어 있다. 전처리 과정에서는 디지털 필터인 IIR(Infinite Impulse Response) Filter를 사용하여 잡음을 제거하였고, 인공산물인 안구잡파(EOG: Electrooculograms) 제거에는 LMS(the Least Mean squares) 알고리즘을 사용하였다. 감정분류는 Valence-Arousal 평면을 사용하여 네 개의 감정으로 구분하였고, 분류 실험으로는 패턴인식 알고리즘인 SVM(support Vector Machine)를 사용하였다. 실험결과 SVM이 70%대의 결과를 도출하여 이전 실험결과보다 높은 정확도를 도출하였다.

• 한국임상약학회지
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• 제9권1호
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• pp.66-70
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• 1999

The effect of circadian rhythm on cyclosporine pharmacokinetics was studied in rabbits after oral administration of 10 mg/kg dose of cyclosporine at 10:00 a.m. and 10:00 p.m. The blood concentration data were subjected to simultaneous computer nonlinear least squares regression analysis using a 1-compartment pharmacokinetic model. The blood concentrations of cyclosporine at 10:00 a. m. were increased significantly during 2-6 hr compared to those at 10:00 p.m. The area under the blood concentration-time curve (AUC) and peak concentration $(C_{max})$ of cyclosporine at 10:00 a.m. were increased significantly compared to those at 10:00 p.m. The mean total body clearance (CL) of cyclosporine at 10:00 a.m. were decreased significantly compared to those at 10:00 p.m. It is reasonable to consider individual circadian rhythm for effective dosage regimen of cyclosporine in therapeutics.

• Communications for Statistical Applications and Methods
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• 제28권6호
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• pp.627-641
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• 2021

An asymmetric least squares estimation method has been employed to estimate linear models for percentile regression. An asymmetric maximum likelihood estimation (AMLE) has been developed for the estimation of Poisson percentile linear models. In this study, we propose generalized nonlinear percentile regression using the AMLE, and the use of the parametric bootstrap method to obtain confidence intervals for the estimates of parameters of interest and smoothing functions of estimates. We consider three conditional distributions of response variables given covariates such as normal, exponential, and Poisson for three mean functions with one linear and two nonlinear models in the simulation studies. The proposed method provides reasonable estimates and confidence interval estimates of parameters, and comparable Monte Carlo asymptotic performance along with the sample size and quantiles. We illustrate applications of the proposed method using real-life data from chemical and radiation epidemiological studies.

• International Journal of Computer Science & Network Security
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• 제24권7호
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• pp.24-30
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• 2024

This paper investigates the identification and modeling of a climate greenhouse. Given real climate data from greenhouse installed in the LAPER laboratory in Tunisia, the objective of this paper is to propose a solution of the problem of nonlinear time variant inputs and outputs of greenhouse internal climate. Based on fuzzy logic technique combined with least mean squares (lms) a robust greenhouse climate model for internal temperature prediction is proposed. The simulation results are presented to demonstrate the effectiveness of the identification approach and the power of the implemented Takagi-Sugeno Fuzzy model based Algorithm.

• 응용통계연구
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• 제29권7호
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• pp.1429-1444
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• 2016

본 연구에서는 벌점화 최소제곱추정방법을 이용하여 평균의 변화를 모니터링할 수 있는 방법에 대해 연구하였다. 모니터링 이전의 공통 평균과 모니터링을 시작한 이후 순차적으로 관측되는 관측값들의 평균의 차이를 벌점화 최소제곱추정방벙을 이용하여 추정하였으며, 이 추정값들에서 0이 아닌 것의 개수를 바탕으로 모니터링 절차를 개발하였다. 이는 기존의 모니터링 절차들이 순차적으로 얻은 추정값들의 변동성을 기반으로 만들어진 것과 다른 점이다. 모의실험을 통해 본 연구에서 제안한 모니터링 절차가 가지고 있는 특징들을 살펴보았고, 대표적인 모니터링 절차인 CUSUM 모니터링과 비교 분석도 하였다.

• 한국멀티미디어학회논문지
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• 제9권8호
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• pp.1000-1009
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• 2006

본 논문에서는 부화소 단위의 적응적인 선형 보간법을 제안한다. 보통의 선형 보간법에 화소 마다 매개변수가 도입되고 이 매개 변수를 최적으로 구하기 위해서 저역 필터와 MMSE (minimum mean square error) 방법을 이용한 일반적인 보간 구조를 제안한다. 또한 제안된 일반적인 적응 선형 보간 구조에서 복잡도를 최소화한 방법을 유도하여 간단한 닫힌 형태의 식으로 제시한다. 기존 방법인 보통의 선형 보간법, 3차 컨볼루션 보간법에 비교하여 주관적으로나 객관적으로 제안된 방법의 우수함을 실험 결과로 알 수 있을 뿐만 아니라 왜곡 거리 선형 보간법(warped distance linear interpolation), 이동 선형 보간법(shifted linear interpolation) 등의 최근 기술과 비교하여도 우수함을 실험결과는 보여준다.

• Archives of Pharmacal Research
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• 제17권2호
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• pp.80-86
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• 1994

The bioavailability of digoxin generic tablets manufactures in Korea (formulations A & B) wwere compared to a standard (formulation C; Lanoxin brand digoxin, Burroughs Wellcome, USA) in 12 healthy Korean male volunteers (mean age 31.4 years) in a single dose, randomized, complete block crossover study. Using a latin square design, each of the subjects was randomized to the order number and allocated to each of the three treatments of 0.5mg oral digoxin. Digoxin conc4ntrations in serum and urine samples collected for 48 hours after dosing were measured by fluoprescence polarization immunoassy and radioimmunoassy, respectively. Treatments were compared by using nonlinear least squares regession analysis to evaluate the following pharmacokinetic parameters : maximum serum concentation $(C_{max})$; time of maximum serum concentation $(T_{max})$; area under the serum concentration-time curve $AUC_{0-12}$, $C_{max}$\;and\;(AUC_{0-12})$; and cummulative urinary excretion for 0-48 hours $(CLE_{0-48}.\;Mean\;AUC_{0-12},\;C_{max},\;and\;CUE_{0-48}$ values for formulations B and C were significantly different from formulation A (P<0.001), but not significantly diffeerent form each other. Basede on $AUL_{0-12}\;and\;CUE_{0-48}$ respectively, the relative availability of formulation B was 87.5% and 89.6% and the relative availability of formultation A was 43% and 35% when compared to formulation C(the standard).

• 한국통신학회논문지
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• 제32권2C호
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• pp.166-173
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• 2007

OFDM(Orthogonal Frequency Division Multiplexing) 시스템에서 채널추정을 위해 사용되는 파일럿에 발생하는 협대역 재밍은 시스템 성능에 나쁜 영향을 준다. 본 논문에서는 이 문제를 해결하기 위해 재밍된 파일럿을 검출하여 제거할 수 있는 방법을 제안한다. 또한, 한 개의 OFDM 심볼에서 재밍된 파일럿과 제거된 파일럿으로 인해 발생하는 평균 제곱 오류(Mean Squared Error, MSE)를 분석한다. 그리고, 실험을 통해 제안된 알고리즘을 사용한 채널추정 구조의 심볼 오류율(Symbol Error Rate, SER) 성능을 평가한다. 제안된 방법은 재밍 전력이 높은 환경에서 채널추정 성능을 향상시킬 수 있음을 확인하였다.

• Journal of Biosystems Engineering
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• 제43권4호
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• pp.369-378
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• 2018

Purpose: The aim of this study was to construct a saponin content-predicting model using shortwave infrared imaging spectroscopy. Methods: The experiment used a shortwave imaging spectrometer and ENVI spectral acquisition software sampling a spectrum of 910 nm-2500 nm. The corresponding preprocessing and mathematical modeling analysis was performed by Unscrambler 9.7 software to establish a ginsenoside nondestructive spectral testing prediction model. Results: The optimal preprocessing method was determined to be a standard normal variable transformation combined with the second-order differential method. The coefficient of determination, $R^2$, of the mathematical model established by the partial least squares method was found to be 0.9999, while the root mean squared error of prediction, RMSEP, was found to be 0.0043, and root mean squared error of calibration, RMSEC, was 0.0041. The residuals of the majority of the samples used for the prediction were between ${\pm}1$. Conclusion: The experiment showed that the predicted model featured a high correlation with real values and a good prediction result, such that this technique can be appropriately applied for the nondestructive testing of ginseng quality.

• Fisheries and Aquatic Sciences
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• 제17권3호
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• pp.361-367
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• 2014

Cuttlefish Sepia esculenta are commercially important in Korea. Assessments of their biomass currently depend on fishery-landings data, which may be biased. Towards fishery-independent acoustic surveys of cuttlefish, target strength (TS) measurements at 70 and 120 kHz were made of 23 live cuttlefish, in early May 2010. The fish were caught by traps in the inshore waters around Geojedo, Korea. The TS were measured using split-beam echosounders (Simrad ES60 and EY500, respectively). The cuttlefish mantle lengths (L) ranged from 15.6 to 23.5 cm (mean L=17.8 cm) and their masses (W) ranged from 335 to 1020 g (mean W=556.1 g). Their mean TS values at 70 and 120 kHz were -33.01 dB (std=1.39 dB) and -31.76 dB (std=2.15 dB), respectively. The mean TS at 70 kHz was 0.17 dB higher than the TS-length relationship resulting from a least-squares fit to the data ($TS=24.67{\log}_{10}L(cm)-64.03$, $r^2$ = 0.52, N=23). The mean TS at 120 kHz was 0.45 dB higher than the fitted TS-length relationship ($TS=40.59{\log}_{10}L(cm)-82.96$, $r^2$ = 0.58, N=23). The differences between the mean TS values and an equation regressed from all of the TS measurements at both frequencies ($TS=24.92{\log}_{10}L(cm)-4.92{\log}_{10}{\lambda}(m)-22.82$, $r^2$ = 0.86, N=46) was 0.22 dB at 70 kHz and 0.31 dB at 120 kHz, respectively.