• Nuclear Medicine and Molecular Imaging
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• v.40 no.5
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• pp.249-256
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• 2006

Purpose: Although computed tomography (CT) is widely used for diagnosing liver metastasis from colorectal cancer, diagnostic accuracy of CT is not satisfactory. Magnetic resonance (MR) imaging and F-18 FDG PET has been reported to be superior to CT. However, studies on direct comparison of PET and MR are scarce. We compared the diagnostic accuracy of FDG PET and MR in detecting liver metastasis from colorectal cancer. Materials and Methods: Among 363 colorectal cancer patients who underwent F-18 FDG PET (ECAT, Siemens-CTI, Knoxville; Gemini, Philips, Milpitas, U.S.), 26 patients (M:F=17:9, age=$62{\pm}11$) underwent MR to evaluate suspicious metastatic liver lesions. Finally, 35 liver lesions detected by CT from 26 patients were enrolled for analysis. PET and MR results were compared with pathologic reports, clinical findings or follow-up results. Results: Of the 35 lesions, 18 lesions (51.4%) were diagnosed as liver metastases, while remaining 17 (48.6%) as benign. The sensitivity and the specificity of PET were 94.4% and 94.1%, respectively, compared to 100% and 82.4% for MR. MR and PET was concordant in 30 lesions (85.7%: 17 metastatic (94.4%) and 13 benign (76.5%) lesions. ROC curve analysis revealed maximal SUV of 3.1 as the optimum standard in differentiating metastatic from benign liver lesions (AUC=0.897, p<0.001, sensitivity 83.3%, specificity 94.1%). For small lesions less than 1 cm ln diameter (n=20), diagnostic accuracy of PET was comparable to that of MR. Conclusion: F-18 FDG PET showed good diagnostic performance in detecting liver metastasis from colorectal cancer, which was comparable to MR.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.4
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• pp.7-17
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• 2019

Machine learning is one of the most accurate techniques to predict and analyze various phenomena. K-means clustering is a kind of machine learning technique that classifies given data into clusters of similar data. Because it is desirable to perform an analysis based on a lot of data for better performance, K-means clustering can be performed in a model with a server that calculates the centroids of the clusters, and a number of clients that provide data to server. However, this model has the problem that if the clients' data are associated with private information, the server can infringe clients' privacy. In this paper, to solve this problem in a model with a number of clients, we propose a privacy-preserving K-means clustering method that can perform machine learning, concealing private information using homomorphic encryption.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.12
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• pp.2655-2663
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• 2011

Several algorithms have been developed to detect AF which rely either on the form of P waves or the based on the time frequency domain analysis of RR variability. However, locating the P wave fiducial point is very difficult because of the low amplitude of the P wave and the corruption by noise. Also, the time frequency domain analysis of RR variability has disadvantage to get the details of irregular RR interval rhythm. In this study, we describe an atrial fibrillation detection algorithm through non-linear analysis of irregular RR interval rhythm based on the variability, randomness and complexity. We employ a new statistical techniques root mean squares of successive differences(RMSSD), turning points ratio(TPR) and sample entropy(SpEn). The detection algorithm was tested using the optimal threshold on two databases, namely the MIT-BIH Atrial Fibrillation Database and the Arrhythmia Database. We have achieved a high sensitivity(Se:94.5%), specificity(Sp:96.2%) and Se(89.8%), Sp(89.62%) respectively.

• Journal of the Korean Society of Radiology
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• v.14 no.6
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• pp.741-746
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• 2020

To investigate the radiation dose sensitivity in extremity radiatioin therapy depending on rice cultivar which have different size and shape of grains, plan results are compared that used rice bolus Korean and Thai rice. Phantoms that are each no bolus, Korean rice bolus, Thai rice bolus were used and prescribed 100 cGy to isocenter and checked the point dose of 12 points of interest of each phantoms. The meane dose are 103.57±1.98 cGy in Thai rice bolus using, 104.27±2.12 cGy in Korean rice bolus and 104.99±6.40 cGy in phantom without bolus. Dose distribution of Thai and Korean rice bolus differed significantly in Wilcoxon's Signed Rank test (p=.011). It has been confirmed that that the bolus using Thai rice, which has a small grain size, shows a more even dose distribution.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1350-1354
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• 2010

SWAT 모형에서는 토양수량을 고려하여 유출곡선지수법에 따라 지표유출량과 침투량을 계산하고, 계산된 침투량이 토양수대가 받을 수 있는 최대용량인 토양수 최대보수용량(soil water capacity)을 초과할 경우에는 그 초과분을 강제적으로 토양수량에 더해지도록 처리하고 있다. 즉, 초과침투량이 연직 아래로만 유입되는 것으로 간주하고 있다. 이러한 방식은 경사가 매우 완만한 경우에는 적합하다고 할 수 있으나, 국내 유역에서와 같이 비교적 유역 경사가 급한 경우에는 지표유출량이 작게 계산될 수 있으며 특히 집중호우시 강우에 대한 유출 응답이 둔감하게 모의되어 홍수기 큰 강우로 인해 급격하게 증가하는 유출량을 잘 모사하지 못하게 되는 경우가 발생한다. 따라서 본 연구에서는 홍수기 큰 강우에 대해서 유출량이 민감하게 반응할 수 있도록 초과침투량 재분배 모듈($\underline{R}$edistributing $\underline{EX}$cessive $\underline{INF}$iltration module, 이하 SWAT-REXINF)을 개발하였다. 이 모듈은 토양층의 보수능을 초과하는 침투량 처리 방식을 개선한 것으로 지표유출의 집중시간과 토양수의 침루 유하시간의 상대적인 크기에 따라 초과침투량을 분배하여 지표유출량과 침투량에 할당하는 방식을 취하고 있다. 개발 모듈 SWAT-REXINF을 기 개발한 시간가중평균 유출곡선지수법에 의한 지표유출계산법과 접합-분리 방식의 토양층 구조화 기법 등의 유출계산 개선 기법과 접목하여 그 효과를 충주댐 유역에 대해 분석하였다. 시간가중평균 유출곡선지수법에 의한 지표유출계산법과 접합-분리 방식의 토양층 구조화 기법 등 다른 유출 개선 기법과 혼용하여 적용할 경우에는 지표유출량이 약 2배 증가, 첨두유량은 20~50% 증가하는 등 개선 효과가 매우 크게 나타났다. 모형 개선으로 인해서 강우량에 대한 유출량의 응답 민감도를 증가시켜 유출수문곡선의 증감을 보다 용이하게 모의할 수 있고 정확도 또한 높일 수 있을 것으로 판단된다.

• Journal of the Korean Geotechnical Society
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• v.37 no.7
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• pp.5-12
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• 2021

When drilling investigations for Rock Slopes are not possible, it is often difficult to calculate the Ground Design Constants required for the Limit Equilibrium Analysis. Therefore, the outcrops or partially cutted Rock Slopes were analysed using JRC and JCS that can be easily and conveniently measured. In particular, the effect of the JRC on the Safety Factor or the Rock Slopes was analyzed intensively, and the results were presented as a relationship formula and Table. When the Rock slope was stable, the JRC increased by an average of 9.0% as the slope height increased, and increased by an average of 29.8% as the slope angle increased. JRC was more sensitive to slope angle changes. The Cohesion corresponding to JRC was calculated from JRC-Fs formula. JRC and Cohesion showed a nonlinear relationship, and the Cohesion was about 8.0% more sensitive to slope height changes than slope angle changes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3B
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• pp.291-300
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• 2006

In this study a statistical water quality monitoring network design of Kyung-An stream is proposed. Water quality data for the design is obtained by QUAL2E model simulation. The observed monthly average water quality data from March to November in Kyung-An stream has been applied to this study. HEC-RAS model is also used for QUAL2E hydrauric parameter estimation. Before QUAL2E water quality parameter estimation, FORA is performed to reduce the number of parameters to be estimated, and then water quality parameters are calibrated with a observed monthly average data. Using these simulated water quality data, the number of gage station and its location are estimated by kriging theory and branch & boundary method. Such a network design is based on two case; average flow and low flow case, respectively. Next, proportional sampling method is applied to estimate the sampling frequency.

• Korean Journal of Ichthyology
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• v.25 no.2
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• pp.74-81
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• 2013

Factors influencing spawning or respawning conditions of the bitterling, Acheilognathus signifer were investigated in the aquariums. Inducing the female spawning was more sensitive to the mussel than the male. The ovipositor of the female was periodically elongated and reduced from 4 to 6 days with the presence of mussel. During of the elongated state of the ovipositor was 1 to 2 days. As the result of natural spawning in the aquariums, it takes 1 to 3 days (mean 1.6) to spawn. The most important factor to respawn spawned females again was the mussel. It takes 11 to 53 days (mean 29.5) from extraction to reextraction of females which have elongated ovipositor. The egg numbers of reextraction were 2 to 41 (mean 19). This experiments showed the tendency the more standard length of females grows, the more the number of extracted eggs increases.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.112-112
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• 2022

본 연구에서는 2005-2020년 용담댐의 운영방식이 기후변화에 얼마나 취약한 지 홍수위험과 이수 안전도 지표를 중심으로 평가하였다. 유입량 모의를 위해 GR6J 강우-유출 모형을 사용했고, 댐 운영룰 추출을 위해 Random Forests 모형을 관측자료에 적합시켰다. 294개의 추계학적 기후스트레스 시계열을 GR6J 모형에 입력해 일유입량을 모의한 후 Random Forests 모형으로 방류량과 저수량을 추정하여 연최대일방류량과 공급신뢰도를 분석하였다. 공급신뢰도는 평균강수량 변화에 주로 영향을 받는 것으로 나타났지만 연최대방류량은 평균강수량과 강수변동성 변화에 모두 민감하게 반응하는 것을 알 수 있었다. 2021-2040년 용담댐 저수량은 평균강수량 증가로 인해 공급신뢰도는 과도하게 상승할 것으로 전망되었다. 하지만 강수변동성 증가 인해 20년 빈도 연최대방류량은 가파르게 상승해 댐 하류지역의 홍수위험은 더 가중될 것으로 전망되었다.

• Journal of Biomedical Engineering Research
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• v.21 no.3 s.61
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• pp.261-271
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• 2000

The present study investigated flow dynamics of a two-dimensional abdominal aortic bifurcation model under sinusoidal flow conditions considering wall motion. impedance phase angle(time delay between pressure and flow waveforms), and non-Newtonian fluid using computational fluid dynamics. The wall shear stress showed large variations in the bifurcated region and the wall motion reduced amplitude of wall shear stress significantly. As the impedance phase angle was changed to more negative values, the mean wall shear stress (time-averaged) decreased while the amplitude (oscillatory) of wall shear stress increased. At the curvature site on the outer wall where the mean wall shear stress approached zero. influence of the phase angle was relatively large. The mean wall shear stress decreased by $50\%$ in the $-90^{\circ}$ phase angle (flow wave advanced pressure wave by a quarter period) compared to the $0^{\circ}$ phase angle while the amplitude of wall shear stress increased by $15\%$. Therefore, hypertensive patients who tend to have large negative phase angles become more vulnerable to atherosclerosis according to the low and oscillatory shear stress theory because of the reduced mean and the increased oscillatory wall shear stresses. Non-Newtonian characteristics of fluid substantially increased the mean wall shear stress resulting in a less vulnerable state to atherosclerosis.