• 제어로봇시스템학회논문지
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• 제10권5호
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• pp.458-463
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• 2004

This paper presents a fast IA(integer ambiguity) resolution method that determines the IA within short epochs with guaranteed reliability. Based on the fact that the search volume and the cost function are influenced by the selection of primary IAs in the plane intersection method, an IA resolution method is proposed that evaluates IA candidates repeatedly in an epoch with different combinations of primary IAs. In order to guarantee the reliability of the resolved IA with a certain probability, an inequality condition for selecting differencing operator is derived. Experiment results show that the proposed method consistently provides the true IA estimates within short time.

• Pediatric Infection and Vaccine
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• 제16권1호
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• pp.47-53
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• 2009

목 적: 국내 임신부의 생식기와 직장에서 분리된 B군 연구균의 혈청형 분포를 분자생물학적인 방법으로 확인하고자 하였다. 방 법: 산전 진찰을 위해 고양시 소재 4개의 산부인과병원을 방문한 임신 35주 이상 임신부의 생식기와 직장에서 분리 되어 $-70^{\circ}C$에 보관 중이던 42개의 B군 연구균에서 DNA를 추출하고 혈청형 특이 PCR 과 염기서열 분석을 이용하여 혈청형을 결정하였다. 결 과: 42개 균주 모두에서 혈청형 특이 PCR 과 염기서열 분석을 통해 혈청형을 결정할 수 있었고 빈도순으로 III형이 12균주(28.6%), V형이 11균주(26.2%), Ia형이 11균주(26.2%), VI형이 4균주(9.5%), Ib형이 2균주(4.8%), II형이 2균주(4.8%)였다. 결 론: 국내의 후기 임신부에서 흔하게 분리되는 B군 연구균의 혈청형은 III형, V형, Ia형이었고 본 연구에서 이용한 혈청형 특이 PCR과 염기서열 분석은 앞으로도 관련 연구에 유용하게 사용할 수 있을 것으로 보인다.

• 한국임상약학회지
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• 제29권2호
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• pp.89-100
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• 2019

Background: Invasive aspergillosis (IA) is associated with high morbidity and mortality, particularly among immunocompromised patients, such as lung transplant recipients. Voriconazole, the first-line therapy for IA, shows a non-linear pharmacokinetic profile and has a narrow therapeutic range. Careful and appropriate administration is necessary, primarily because it is used for critically ill patients; however, the clinical usefulness of therapeutic drug monitoring (TDM) has not been sufficiently verified. Therefore, in this study, we validated the safety and efficacy of voriconazole TDM in lung transplant recipients receiving only voriconazole for IA treatment. Methods: The electronic medical records of lung transplant recipients (${\geq}19$ years of age) administered only voriconazole for > 7 days for treatment of IA from June 1, 2013 to May 31, 2018 were analyzed retrospectively. Results: Among the 54 patients, 27 each were allocated to TDM and non-TDM groups, respectively. There were no significant differences in patient characteristics between the two groups except for ICU-hospitalization status. Of the TDM group patients, 81.5% needed adjustment of voriconazole dosage because the levels were out of target range. Comparison of two groups showed that treatment response was higher throughout treatment and switching rates of second-line agents were significantly lower in the TDM group, but it was insufficient to confirm safety improvements through voriconazole TDM. Conclusions: Considering that the treatment response tended to be higher and the rates of switching to second-line antifungal agents were lower in the TDM group, voriconazole TDM may increase the therapeutic effect on IA in lung transplant patients.

• 대한전기학회논문지:전력기술부문A
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• 제53권12호
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• pp.645-654
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• 2004

The design of a measurement system to perform Harmonic State Estimation(HSE) is a very complex problem. In particular, the number of available harmonic analysis measurement instruments is always limited. Therefore, a systematic procedure is needed to design the optimal placement of measurement points. This paper presents an optimal algorithm of HSE which is based on an optimal placement of measurement points using Immune Algorithm (IAs). This IA-HSE has been applied to power system for the validation of an optimal algorithm of HSE. The study results have indicated an economical and effective method for optimal placement of measurement points using Immune Algorithm (IAs) in the HSE.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 A
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• pp.92-94
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• 2003

The design of a measurement system to perform Harmonic State Estimation(HSE) is a very complex problem. In particular, the number of available harmonic instruments (Continuous Harmonic Analysis in Real Time : CHART) is always limited. Therefore, a systematic procedure is needed to design the optimal placement of measurement points. This paper presents an optimal algorithm of HSE which is based on an optimal placement of measurement points using Immune Algorithm (IAs). This HSE has been applied to power system for the validation of an optimal algorithm of HSE. The study results have indicated an economical and effective method for optimal placement of measurement points using IAs in the HSE.

• Environmental Engineering Research
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• 제21권4호
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• pp.333-340
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• 2016

An Artificial Neural Network including a Radial Basis Function (RBF) and a Time Delay Neural Network (TDNN) was used to predict total dissolved solid (TDS) in the river Zayanderud. Water quality parameters in the river for ten years, 2001-2010, were prepared from data monitored by the Isfahan Regional Water Authority. A factor analysis was applied to select the inputs of water quality parameters, which obtained total hardness, bicarbonate, chloride and calcium. Input data to the neural networks were pH, $Na^+$, $Mg^{2+}$, Carbonate ($CO{_3}^{-2}$), $HCO{_3}^{-1}$, $Cl^-$, $Ca^{2+}$ and Total hardness. For learning process 5-fold cross validation were applied. In the best situation, the TDNN contained 2 hidden layers of 15 neurons in each of the layers and the RBF had one hidden layer with 100 neurons. The Mean Squared Error and the Mean Bias Error for the TDNN during the training process were 0.0006 and 0.0603 and for the RBF neural network the mentioned errors were 0.0001 and 0.0006, respectively. In the RBF, the coefficient of determination ($R^2$) and the index of agreement (IA) between the observed data and predicted data were 0.997 and 0.999, respectively. In the TDNN, the $R^2$ and the IA between the actual and predicted data were 0.957 and 0.985, respectively. The results of sensitivity illustrated that $Ca^{2+}$ and $SO{_4}^{2-}$ parameters had the highest effect on the TDS prediction.