• 한국임상수의학회지
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• 제17권1호
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• pp.225-233
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• 2000

The aim in this study was to obtain the basic data for estimation of optimal mating time and ovulation time by finding out the relationship between vaginal cytology and reproductive hormone profiles during the estrous cycle in 36 Korea Jin-do bitches. A characteristic features of vaginal cytology during the estorous cycle were the high proportion of superficial cell, anuclear cell and erythrocyte in proestrus, superficial cell, anuclear cell and erythroucyte in estrus, parabasal cell, small and large intermediate cell and leukocytes in diestrus, and parabasal cell and small intermediate cell in anestrus, respectively. Cornification index(CI) was the high proportion in proestrus and estrus, then it was decreaed in diestrus and anestrus. It indicated that the CI was significantly high proportion in proestrus and estrus in comparison with the other phases. Plasma progesterone concentration was below 1.0ng/ml at the first day of vulval bleeding in pregnant and non-pregnat bitches, and then it was increaed slowly. When Day 0 was timed from the day that plasma progesterone concentration was first increased above 4.0ng/ml, plasma progesterone concentrations at Day 0 in pregnant and non-pregnant above 4.0 ng/ml, plasma progesterone concentrations at Day 0 in pregnant and non-pregnant bitches were $5.2{\pm}0.3ng/ml and 5.7{\pm}0.5ng/ml$$46.5{\pm}3.3 ng/ml$ in pregnant bitches and at Day 20 with $39.8{\pm}0.1ng/ml$ in nonpregnant bitches. It indicated that plasma progesterone concentration was higher in pregnant bitches than in non-pregnant bitches. Hereafter plasma progesterone concentration was decreased steadily. At Day 63 which is parturition day, plasma progesterone concentration was decreased below 1.0ng/ml with $0.8{\pm}0.2ng/ml$ in pregnant bitches whereas in the non-pregnant bitches at Day 75 were decreased below 1.0ng/ml with 40.5{\pm}0.4ng/ml$. Plasma progesterone concentrations was maintained below 1.0ng/ml during anestrus in all of them. The plasma estradiol-17 $\beta$ concentration was increased above 1.0 pg/ml at the first day of vulval bleeding and it showed a peak Day-1 with 38.2 pg/ml. Thereafter it was sharply decreased after Day 0, which was the day that plasma progesterone concentration was first increase above 4.0ng/ml, and was maintained below basal levels. In relationship between CI and reproductive hormones, plasma estradiol-17 $\beta$concentration showed a peak at Day-3 and CI showed a peak at Day-1 which was the second day after plasma estradiol-17 $\beta$ peak, and plasma progesterone concentration was first increased above 4.0ng/ml at Day 0 which was the first day after CI peak. CI was first increased above 80% at Day-6 which was the third day before plasma estradio-17 $\beta$ peak and it was maintained above 80% between Days-6 and Day 3 during 10 days, and showed above 90% at Day-3 which was the day that plasma estradiol-17 $\beta$peak and was maintained above 90% between Day-3 and Day 3 during 7 days. In conclusion, ovulation in Koran Jin-do bitches occurred at the first day after CI peak, at the third day after plasma estradiol-17 $\beta$peak and the day when plasma progesterone concentration was first increased above 4.0 ng/ml. And it was estimated that the optimal mating time was the day when the CI was maintained above 90% and plasma progesterone concentration was between 3.0~8.0ng/ml. Therefore plasma progesterone concentration measurement was used for determination of an accurate ovulation time and the optimal mating time but also vaginal cytology, which is low-priced with equipment and is the simple examination method, was reliable method for estimating estrous cycle, optimal breeding time and ovulation time in Korea Jin-do bitches.

• 한국통신학회논문지
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• 제33권12C호
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• pp.1082-1087
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• 2008

MIMO 시스템에서 ML 검출 기법은 많은 다른 검출기들보다 우수한 성능을 보인다. 그러나 ML 검출기법은 NP-hard 문제로 인해 실제 시스템에서 사용하기 어려운 단점을 가지고 있다. 이것은 polynomial-time 안에 최적의 해 (optimal solution)를 찾을 수 없음을 의미한다. 본 논문에서는 ML problem을 적용한 SDR (Semi-Definite Relaxation)에 궤환기법을 통한 검출 알고리즘을 제안한다. 이는 SDR에 의해 구한 최적의 해를 spectral decomposition을 이용해 우세한 eigenvector를 찾아 송신 신호의 확률 분포를 구하고, 이를 수신 신호에 궤환 시킨다. 이는 또 다른 ML problem으로써 다시 SDR를 통해 최적의 해를 구하고 우세한 eigenvector에 해당하는 송신 신호 확률을 구한다. 이 확률은 ML problem에 해당하는 최적의 값으로 추정 송신 신호를 검출할 수 있다. 이러한 기법을 통해 최적 성능을 갖는 ML 검출 기법의 성능에 보다 더 가깝게 접근하였다.

• 한국임상수의학회지
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• 제25권2호
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• pp.79-84
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• 2008

For estimating the ovulation time in Miniature Schnauzer dogs during the estrous cycle, radioimmunoassay of plasma estradiol-$17{\beta}$ and progesterone concentrations was conducted on blood samples in 21 pregnant and 13 non pregnant dogs. When Day 0 was that plasma progesterone concentrations exceeded 4.0 ng/ml, on Day 64, parturition day, progesterone declined below 1.0 ng/ml with $0.92\;{\pm}\;0.29\;ng/ml$ and when Day 0 was that plasma progesterone concentrations declined below 1.0 ng/ml, on Day -64, progesterone increased above 4.0 ng/ml with $4.56\;{\pm}\;0.87\;ng/ml$. Gestational length was $63.71\;{\pm}\;1.35$ (Mean${\pm}$S.D.) days from plasma progesterone concentrations exceeded 4.0 ng/ml and was $66.29\;{\pm}\;1.98$ days from first male acceptance. The plasma estradiol-$17{\beta}$ concentrations reached maximum value with $28.20\;{\pm}\;2.86\;pg/ml$ on Day .2, and plasma progesterone concentrations reached $5.90\;{\pm}\;0.36 ng/ml, 5.18\;{\pm}\;0.32 ng/ml on Day 0, and the maximum of 61.58\;{\pm}\;10.47 ng/ml on Day 19 and 56.05\;{\pm}\;8.86\;ng/ml$ on Day 16 in pregnant and non pregnant dogs, respectively. Afterward, plasma progesterone concentrations declined below 1.0 ng/ml on Day 64 with $0.92\;{\pm}\;0.29\;ng/ml$ in pregnant cycles and on Day 58 with $0.95\;{\pm}\;0.63\;ng/ml$ in non pregnant dogs. No difference were found pregnant and non pregnant dogs in plasma estradiol-$17{\beta}$ and progesterone concentrations (p<0.01). Based on first male acceptance (Day 0), the maximum of plasma estradiol-$17{\beta}$ concentrations ($29.31\;{\pm}\;3.61\;pg/ml$) occurred on Day -1 and plasma progesterone concentrations exceeded 4.0 ng/ml on Day 2 in pregnant ($5.37\;{\pm}\;0.76\;ng/ml$) and non pregnant ($4.25\;{\pm}\;0.80\;ng/ml$) dogs. These results suggest that in Miniature Schnauzers, the ovulation occurred when plasma progesterone concentrations exceeded 4.0 ng/ml, 3 days after plasma estradiol-$17{\beta}$ peak and 2 days after first male acceptance.

• 한국임상수의학회지
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• 제36권6호
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• pp.364-367
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• 2019

The aim of this study was to compare the plasma progesterone concentrations during gestation in 4 breeds of companion bitches. When Day 0 was timed the first male acceptance, plasma progesterone were 1.8 ± 0.4 ng/ml (Mean ± SD) at Day 0 and increased constantly with 58.5 ± 8.9 ng/ml a peak at Day 20. Thereafter plasma progesterone concentrations was decreased below 1.0 ng/ml with 0.7 ± 0.2 g/ml at Day 65. There were no statistically significant differences of plasma progesterone concentrations in the each day of gestation and in litter size among the companion bitches (p < 0.01). These results indicated that the plasma progesterone concentrations was useful method for estimating optimal breeding time, ovulation time, the time of onset of parturition, properly planned elective cesarean section and abortion time in companion bitches.

• Biomolecules & Therapeutics
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• 제15권2호
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• pp.123-126
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• 2007

A sensitive, simple and highly selective liquid chromatography method of determination for extraction of pseudoephedrine hydrochloride from Allegra D tablet was developed. The chief benefit of the present method is the minimal sample preparation, as the procedure is only filtering through pore syringe filter. Two drugs (pseudoephedrine hydrochloride, fexofenadine) were separated on a C$_{18}$ column and analyzed by high performance liquid chromatography (HPLC). The method had a chromatographic run time of 8.0 min. 1 ml of pseudoephedrine hydrochloride solution (1 mg/ml) was filtered through 0.22 um pore syringe filter. 50 ul of filtering solution was injected to HPLC pump and we knew the retention time (1.85 min) of separating of pseudoephedrine hydrochloride using UV detector at 280 nm. We used C$_{18}$ column (4.6 mm${\times}$250 mm), mobile phase solution (<0.05 mol/L NaH$_2$PO$_4$, 2 ml/L H$_3$PO$_4$>/CH$_3$CN / sodium dodesyl sulfate = 60 ml / 40 ml / 1 g). We separated psedoephedrine hydrochloride at run time of 1.85 min from Allegra D tablet solution (1 mg/ml) filtered through 0.22 um pore syringe filter using UV detector at 280 nm. Flow rate was set at 1.0 ml/min and the column temperature was set at 40$^{\circ}C$. Psedoephedrine hydrochloride solution (1 mg/ml) separated from Allegra D tablet was filtered through 0.22 um pore syringe filter and injected 50 ul. We confirmed the peak of psedoephedrine hydrochloride at same retention time and the separating solution was freeze-dried. In conclusion, A simple isocratic reverse-phase HPLC method has been developed that provides excellent separation of pseudoephedrine from Allegra D tablet.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.358-358
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• 2023

본 연구에서는 그동안 수자원분야 강우유출 해석분야에 활용되었던 대표적인 머신러닝&딥러닝(ML&DL) 모델을 활용하여 모델의 하이퍼파라미터 튜닝뿐만 아니라 모델의 특성을 고려한 기상 및 수문데이터의 조합과 전처리(lag-time, 이동평균 등)를 통하여 데이터 특성과 ML&DL모델의 조합시나리오에 따른 일 유입량 예측성능을 비교 검토하는 연구를 수행하였다. 이를 위해 소양강댐 유역을 대상으로 1974년에서 2021년까지 축적된 기상 및 수문데이터를 활용하여 1) 강우, 2) 유입량, 3) 기상자료를 주요 영향변수(독립변수)로 고려하고, 이에 a) 지체시간(lag-time), b) 이동평균, c) 유입량의 성분분리조건을 적용하여 총 36가지 시나리오 조합을 ML&DL의 입력자료로 활용하였다. ML&DL 모델은 1) Linear Regression(LR), 2) Lasso, 3) Ridge, 4) SVR(Support Vector Regression), 5) Random Forest(RF), 6) LGBM(Light Gradient Boosting Model), 7) XGBoost의 7가지 ML방법과 8) LSTM(Long Short-Term Memory models), 9) TCN(Temporal Convolutional Network), 10) LSTM-TCN의 3가지 DL 방법, 총 10가지 ML&DL모델을 비교 검토하여 일유입량 예측을 위한 가장 적합한 데이터 조합 특성과 ML&DL모델을 성능평가와 함께 제시하였다. 학습된 모형의 유입량 예측 결과를 비교·분석한 결과, 소양강댐 유역에서는 딥러닝 중에서는 TCN모형이 가장 우수한 성능을 보였고(TCN>TCN-LSTM>LSTM), 트리기반 머신러닝중에서는 Random Forest와 LGBM이 우수한 성능을 보였으며(RF, LGBM>XGB), SVR도 LGBM수준의 우수한 성능을 나타내었다. LR, Lasso, Ridge 세가지 Regression모형은 상대적으로 낮은 성능을 보였다. 또한 소양강댐 댐유입량 예측에 대하여 강우, 유입량, 기상계열을 36가지로 조합한 결과, 입력자료에 lag-time이 적용된 강우계열의 조합 분석에서 세가지 Regression모델을 제외한 모든 모형에서 NSE(Nash-Sutcliffe Efficiency) 0.8이상(최대 0.867)의 성능을 보였으며, lag-time이 적용된 강우와 유입량계열을 조합했을 경우 NSE 0.85이상(최대 0.901)의 더 우수한 성능을 보였다.

• Computers and Concrete
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• 제32권6호
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• pp.625-637
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• 2023

The application of ML approaches in determining the resisting capacity of fire damaged RC columns is introduced in this paper, on the basis of analysis data driven ML modeling. Considering the characteristics of the structural behavior of fire damaged RC columns, the representative five approaches of Kernel SVM, ANN, RF, XGB and LGBM are adopted and applied. Additional partial monotonic constraints are adopted in modelling, to ensure the monotone decrease of resisting capacity in RC column with fire exposure time. Furthermore, additional suggestions are also added to mitigate the heterogeneous composition of the training data. Since the use of ML approaches will significantly reduce the computation time in determining the resisting capacity of fire damaged RC columns, which requires many complex solution procedures from the heat transfer analysis to the rigorous nonlinear analyses and their repetition with time, the introduced ML approach can more effectively be used in large complex structures with many RC members. Because of the very small amount of experimental data, the training data are analytically determined from a heat transfer analysis and a subsequent nonlinear finite element (FE) analysis, and their accuracy was previously verified through a correlation study between the numerical results and experimental data. The results obtained from the application of ML approaches show that the resisting capacity of fire damaged RC columns can effectively be predicted by ML approaches.

• 대한방사선기술학회지:방사선기술과학
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• 제20권2호
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• pp.68-72
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• 1997

Small bowel series using methylcellulose are considered a better technique than using other contrast media considering a significant decrease of transit time of $BaSO_4$ and that of the necessary time for the examination. We investigated the mean transit time of $BaSO_4$, maximum luminal diamenter of small bowel, optical density and flocculation frequency after adminstratting 100 ml of 120% $BaSO_4$ to 20 pts), 150 ml of 70% $BaSO_4$ to 20 pts and 200 ml of $BaSO_4$ with 600 ml of mechylcellulose. It was shown that the technique using 150 ml of 70% $BaSO_4$ had the best result. When we apply a adequate amount of density(w/v%), dosage to pts for small bowel series using MC, we can decrease an examination time and have the better image due to double contrast. It is considered that a more study to lower the density of 70% $BaSO_4$ is necessary.

• 한국수정란이식학회지
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• 제21권2호
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• pp.109-119
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• 2006

비글개 6두에서 11회(임신견 7두, 비 임신견 4두)의 발정 주기 및 임신 기간 동안 질 상피 세포 검사 및 혈장 progesterone과 estradiol-$17{\beta}$ 농도를 측정하여 질 상피 세포상과 번식 호르몬의 관계를 조사하고 배란 및 교배 적기 판정을 위한 기초 자료를 제공하고자 본 실험을 실시하였다. 임신 예와 비 임신 예에 있어서 발정 전기, 발정기 및 발정 휴지기의 기간은 각각 $8.5{\pm}1.4(Mean{\pm}SD),\;10.0{\pm}1.4$ 및 $54.0{\pm}2.8$ 그리고 $7.9{\pm}2.1,\;9.5{\pm}0.7$ 및 $62.0{\pm}11.3$일이었다. 임선 예에 비해 비 임신견의 발정 휴지기가 길었으며, 발정 주기 사이의 간격은 임선 예가 $246.2{\pm}24.5$일, 비 임신 예은 $175.3{\pm}34.5$일을 나타내어 임신이 되었던 예가 임신이 되지 않았던 예보다 길었다. 발정 주기별 질 상피 세포상의 변화를 보면 발정 전기와 발정기에는 superficial cell, anuclear cell 및 적혈구가, 발정 휴지기에는 parabasal cell, small intermediate cell, large intermediate cell 및 백혈구가, 그리고 무발정기에는 parabasal cell과 small intermediate cell이 주종을 이루었다. Cornification index(CI)는 발정 주기와 발정기에 유의하게 높았다. 발정 주기 중 혈장 progesterone과 estradiol-$17{\beta}$의 농도 사이의 관계를 혈장 progesterone 농도가 최초로 4.0 ng/ml 이상으로 상승한 날을 기준(Day 0)으로 살펴보면, 혈장 progesterone 농도는 발정 출혈 개시 일에 1.0 ng/ml 이하였으나 Day -2에 2.0 ng/ml 이상으로 상승하였으며, 혈장 progesterone 농도가 최초로 4.0 ng/ml 이상으로 상승한 날은 최초 교배 허용 후 2일이었다. Day 20일 경에 임신 예 및 비임신 예 모두 40 ng/ml 이상으로 최고치를 나타내었으며 Day 35 일까지 임신 예와 비 임신 예 사이에 차이가 인정되지 않았으나 이후 임신 예가 비 임신 예에 비해 높게 유지된 기간이 걸었다. 혈장 estradiol-$17{\beta}$ 농도는 발정 출혈 개시 일에 9 pg/ml 이상을 나타냈으며 이후 급증하여 Day -2 에 26.4 pg/ml로 peak를 나타내었다. CI와 혈장 progesterone 및 estradiol-$17{\beta}$ 농도 사이의 관계를 살펴보면, 혈장 estradiol-$17{\beta}$ 농도는 최초 교배 허용 일(Day 0)에 peak를 나타냈고 혈장 progesterone 농도는 Day 2에 4.0 ng/ml 이상으로 처음 상승하였다. CI 는 혈장 estradiol-$17{\beta}$ peak 이후 l일(Day 1)에 최고치를 나타냈으며 80% 및 90% 이상으로 증가한 날은 각각 Day -1 및 Day 1이었다. CI가 80% 및 90% 이상을 지속한 기간은 각각 Day -1에서 Day 8(10 일간 ) 및 Day 1에서 Day 6(6 일간)이었다. CI가 최고치를 나타낸 후 l일 (Day 2)에 혈장 progesterone 농도가 4.0 ng/ml 이상으로 처음 증가하였다. 결과를 종합하면 본 연구에서 비글개의 배란은 혈장 estradiol-$17{\beta}$ peak 이후 3일 및 혈장 progesterone 농도가 4.0 ng/ml 이상으로 처 음 상승한 날에 일어나며, 교배 적기는 CI가 90% 이상으로 증가한 후 2일 이후와 혈장 progesterone 농도가 $2{\sim}25\;ng/ml$인 시기로 생각된다.

• 전자공학회논문지C
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• 제36C권6호
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• pp.44-51
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• 1999

HMM-Net은 은닉 마르코프 모델(HMM)의 계산과정을 신경망 구조로 구현한 것으로, HMM이 갖고 있는 시계열 모델링 능력과 신경망이 갖고 있는 우수한 변별력을 결합한 것이다. HMM-Net 분류기를 학습하는 방법으로는 HMM의 학습에 이용되는 最尤法(ML)과 신경망 학습의 最小二乘誤差法(MMSE)를 적용할 수 있다. 이들 중 ML이 MMSE보다 안정된 학습을 보장하는 반면 초기 학습조건을 적절하게 설정하였을 경우에는 MMSE가 ML보다 우수하다고 알려져 있다[3]. 따라서 이 논문에서는 먼저 ML을 이용하여 초기학습을 수행한 다음 보다 학습성능이 우수한 MMSE로 바꾸어 최적 또는 준최적으로 학습하는 하이브리드 학습법(ML/MMSE)을 제안한다. 실험용 시계열 패턴으로 /0/부터 /9/까지의 고립 숫자음을 이용하여 실험한 결과, 제안한 방법이 학습특성 및 인식률면에서 ML이나 MMSE만을 이용하는 기존의 방법보다 우수하였음을 확인하였다.