• Korean Journal of Remote Sensing
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• v.34 no.2_1
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• pp.267-282
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• 2018

Despite the continuous development of phenology detection studies using satellite imagery, verification through comparison with the field observed data is insufficient. Especially, in the case of Korean forests patching in various forms, it is difficult to estimate the start of season (SOS) by using only satellite images due to resolution difference. To improve the accuracy of vegetation phenology estimation, this study reconstructed the large scaled forest type map (1:5,000) with MODIS pixel resolution and produced time series vegetation phenology curves from Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) derived from MODIS images. Based on the field observed data, extraction methods for the vegetation indices and SOS for Korean forests were compared and evaluated. We also analyzed the correlation between the composition ratio of forest types in each pixel and phenology extraction from the vegetation indices. When we compared NDVI and EVI with the field observed SOS data from the Korea National Arboretum, EVI was more accurate for Korean forests, and the first derivative was most suitable for extracting SOS in the phenology curve from the vegetation index. When the eight pixels neighboring the pixels of 7 broadleaved trees with field SOS data (center pixel) were compared to field SOS, the forest types of the best pixels with the highest correlation with the field data were deciduous forest by 67.9%, coniferous forest by 14.3%, and mixed forest by 7.7%, and the mean coefficient of determination ($R^2$) was 0.64. The average national SOS extracted from MODIS EVI were DOY 112.9 in 2014 at the earliest and DOY 129.1 in 2010 at the latest, which is about 0.16 days faster since 2003. In future research, it is necessary to expand the analysis of deciduous and mixed forests' SOS into the extraction of coniferous forest's SOS in order to understand the various climate and geomorphic factors. As such, comprehensive study should be carried out considering the diversity of forest ecosystems in Korea.

• Tuberculosis and Respiratory Diseases
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• v.41 no.6
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• pp.597-603
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• 1994

Background: Because of the power of HRCT to detect the minute changes in lung parenchyme and the advantage of noninvasiveness, it may be the ideal method of follow-up evaluation of the patients with diffuse interstitial pulmonary fibrosis. So the aim of the study is to find out whether the change of HRCT during the course of the disease can represent the change in symptom and pulmonary function test. Method: Thirteen patients with diagnosis of diffuse interstitial pulmonary fibrosis who had more than two times of HRCT during the course of disease were studied. The extent of the disease in HRCT was measured at three levels using image analyzer. The ralationship between the percent change in the disease extent in HRCT, symptom score, and pulmonary function tests were analysed. Results: The change of disease extent in HRCT has good correlation with the change in dyspnea and diffusion capacity(r=0.716, p=0.0012). But there was no correlation between the change of HRCT and FVC or TLC. Also significant inverse correlation was noted between the change in dyspnea and diffusion capacity(r=-0.707, p=0.0047). Conclusion: These data suggest that HRCT may be a good method of follow-up in diffuse interstitial pulmonary fibrosis.

• Journal of Veterinary Clinics
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• v.31 no.6
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• pp.483-489
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• 2014

This study describes a surgical technique and evaluates the clinical outcomes in small breed dogs with cranial cruciate ligament rupture (CCLR) treated with tibial plateau leveling osteotomy (TPLO). Seven skeletally mature dogs weighing less than 15 kg underwent unilateral TPLO to stabilize the stifle joint with CCLR. Clinical evaluation was performed via visual lameness score, range of motion (ROM), and thigh girth circumference (TC). Postoperative complications were recorded. All patients reached a grade 1 score at 1 week and grade 0 at 8 weeks postoperatively. The mean operated limb extension angle was 98.11%, 99.07%, and 98.73% of the mean extension angle of the contralateral limb at 4 weeks, 8 weeks, and 12 weeks postoperatively, respectively. The mean operated limb flexion angle was 98.07%, 95.88%, and 96.35% of the mean flexion angle of the contralateral limb at 4 weeks, 8 weeks, and 12 weeks postoperatively, respectively. The mean TC of the operated limb was 92.95%, 93.68%, and 95.44% of the mean TC of the normal limb at 4 weeks, 8 weeks, and 12 weeks postoperatively, respectively. Our outcomes for TPLO in small breed dogs are not worse than those previously reported for large breed dogs. Based on the result in the present study, CCLR in small dogs can be successfully managed with TPLO, as done in large breed dogs.

• Journal of the Korean Society of Radiology
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• v.17 no.5
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• pp.685-691
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• 2023

This study aims to raise awareness of the exposure index according to the Sub-ROI in clinical use by studying the effect of Sub-ROI's change on exposure index and dose during Chest PA examination. In this study, to examine the changes in EI and ESD according to the Sub-ROI setting, the irradiation conditions were set to 120 kVp, 200 mA, 2 mAs, and the SID was fixed to 180cm. Five types of Sub-ROI were used. The average value of EI according to the Sub-ROI's change was 135.58 ± 0.89 in AEC, 100.80 ± 0.80 in VR, 143.43 ± 0.76 in HR, 103.22 ± 0.68 in LS, and 102.79 ± 0.84 in SS. The mean value of ESD was 30.28±0.50 µGy in AEC, 30.16 ± 0.44 µGy in VR, 30.30 ± 0.46 µGy in HR, 30.23 ± 0.46 µGy in LS, and 30.28 ± 0.51 µGy in SS. As a result of this study, based on the AEC mode recommended by the manufacturer, the VR (25.7%), LS (23.9%), and SS (24.2%) modes decreased, and the HR mode increased by 5.7%. However, ESD was not affected by the Sub-ROI's change. Therefore, Sub-ROI may change EI during the Chest PA examination, it is considered that Sub-ROI should be used appropriately when setting protocols in clinical use.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.369-369
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• 2022

기후변화에 관한 정부간 합의체 (IPCC, Intergovernmental Panel on Climate Change) 6차 보고서에서 이번 세기 중반까지 현 수준의 온실가스 배출량을 유지한다면 2021~2040년 중 1.5℃를 초과할 것이다. 이러한 기후의 변화로 인한 기온상승 영향으로 과거와는 달리 산림변화는 과거와 다르게 침엽수는 감소하고 활엽수는 증가하는 추세다. 본 연구에서는 유역 대부분이 산림으로 금강 상류의 용담댐유역 (930.2 km²)을 대상으로 SWAT (Soil and Water Assessment Tool)을 이용하여 장기간 산림변화에 따른 수문 구성요소를 평가하였다. MOD15A2 LAI 및 임상도 자료를 10년 단위 (1980s (1980~1989), 2000s (2000~2009), 2010s (2010~2019))를 이용해 임상별 (침엽수림, 활엽수림, 혼효림) 및 산림 높이를 구축하였다. 임상별 산정된 LAI를 기초로 SWAT의 임상별 LAI 및 수문 검·보정을 통해 용담댐유역 현황을 재현하였다. 모형의 적용성 평가는 R²를 이용하였으며, 임상별 (침엽수, 활엽수, 혼효림) LAI는 0.95, 0.89, 0.90로 증발산량은 0.51, 토양수분은 0.5~0.55로 유량의 경우 0.69로 산정되었다. 산림변화에 따른 1980s는 LAI 자료가 없기에 2000s 및 2010s의 식생 높이 및 LAI를 멱함수로 회귀하여 1980s 엽면적지수를 산정하였다. 기상자료는 2010s로 고정하고 산림 성장이 물순환에 미치는 영향을 1980s 및 2010s의 수문 비교를 시공간적으로 평가할 예정이다.

• Journal of Chest Surgery
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• v.40 no.1 s.270
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• pp.45-51
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• 2007

Background: Although echocardiography is usually used for quantitative assessment of left ventricular function, the recently developed 16-slice multidetector computed tomography (MDCT) is not only capable of evaluating the coronary arteries but also left ventricular function. Therefore, the objective of our study was to compare the values of left ventricular function quantified by MDCT to those by echocardiography for evaluation of its regards to clinical applications. Material and Method: From 49 patients who underwent MDCT in our hospital from November 1, 2003 to January 31, 2005, we enrolled 20 patients who underwent echocardiography during the same period for this study. Left ventricular end-diastolic volume index (LVEDVI), left ventricular end-systolic volume index (LVESVI), stroke volume index (SVI), left ventricular mass index (LVMI), and ejection fraction (EF) were analyzed. Result: Average LVEDVI ($80.86{\pm}34.69mL$ for MDCT vs $60.23{\pm}29.06mL$ for Echocardiography, p<0.01), average LVESVI ($37.96{\pm}24.52mL$ for MDCT vs $25.68{\pm}16.57mL$ for Echocardiography, p<0.01), average SVI ($42.90{\pm}15.86mL$ for MDCT vs $34.54{\pm}17.94mL$ for Echocardiography, p<0.01), average LVMI ($72.14{\pm}25.35mL$ for MDCT vs $130.35{\pm}53.10mL$ for Echocardiography, p<0.01), and average EF ($55.63{\pm}12.91mL$ for MOCT vs $59.95{\pm}12.75ml$ for Echocardiography, p<0.05) showed significant difference between both groups. Average LVEDVI, average LVESVI, and average SVI were higher in MDCT, and average LVMI and average EF were higher in echocardiogram. Comparing correlation for each parameters between both groups, LVEDVI $(r^2=0.74,\;p<0.0001)$, LVESVI $(r^2=0.69,\;p<0.0001)$ and SVI $(r^2=0.55,\;p<0.0001)$ showed high relevance, LVMI $(r^2=0.84,\;p<0.0001)$ showed very high relevance, and $EF (r^2=0.45,\;p=0.0002)$ showed relatively high relevance. Conclusion: Quantitative assessment of left ventricular volume and function using 16-slice MDCT showed high relevance compared with echocardiography, therefore may be a feasible assessment method. However, because the average of each parameters showed significant difference, the absolute values between both studies may not be appropriate for clinical applications. Furthermore, considering the future development of MDCT, we expect to be able to easily evaluate the assessment of coronary artery stenosis along with left ventricular function in coronary artery disease patients.

• Korean Journal of Oriental Medicine
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• v.15 no.1
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• pp.63-68
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• 2009

In Sasang Constitution Medicine (SCM), it is most important that a personal SCM type is determined accurately ahead of applying any Sasang treatments. Although SCM doctors have districted personal SCM types in many hospitals and universities via their own discriminant, it still lacks objective criteria on diagnosis of SCM type. Therefore, many researchers have been studied to diagnose the SCM type using constitutional clinical data. Previous work, we have developed decision tree program to analyze the clinical information. In this paper, we developed a clinical index program based on the web to analyze the correlation among clinical information. Finally, we identified useful factors(4 clinical indexes) which have significant influence on SCM types using clinical index program with previously developed decision tree program.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2002.03b
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• pp.49-59
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• 2002

이 연구에서는 강원도 삼척시를 대상으로 산불취약지역 분석모델을 개발하고, 개발된 분석모델을 기반으로 산불취약지역을 표출하였으며, 이를 위한 전산프로그램을 개발하였다. 산불취약지역 공간분석자료로는 NGIS 사업을 통해 구축된 1/25천 축척의 수치지형도, 수치임상도 그리고 과거 산불발화위치자료를 사용하였다. 산불발화위치에 대한 공간적 분포특성(지형, 임상, 접근성)을 기반으로 모델을 설정하였으며, 공간분석은 간단하면서도 일반인들이 이해하기 쉬운 Conditional probability, Likelihood ratio 방법을 사용하였다. 그리고 각각의 모델에 대한 검증(cross validation)을 실시하였다. 모델 검증방법으로는 과거 산불발화위치자료를 발생시기에 따라 두 개의 그룹으로 나누어 하나는 예측을 위한 자료로 사용하고, 다른 하나는 검증을 위한 자료로 사용하였다. 모델별 예측성능은 prediction rate curve를 비교·분석하여 판단하였다. 삼척시를 대상으로 한 예측성능에서 Likelihood ratio 모델이 Conditional probability 모델보다 더 낳은 결과를 보였다. 산불취약지역 분석기술로 작성된 상세 산불취약지역지도와 현재 산림청에서 예보하고 있는 전국단위의 산불발생위험지수와 함께 상호보완적으로 사용한다면 산불취약지역에 대한 산불감시인력 및 감시시설의 효율적인 배치를 통하여 일선 시군 또는 읍면 산불예방업무의 효율성이 한층 더 증대될 것으로 기대된다.

• Proceedings of the Optical Society of Korea Conference
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• 2008.02a
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• pp.225-226
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• 2008

• Sleep Medicine and Psychophysiology
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• v.22 no.1
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• pp.11-19
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• 2015

Objectives: Whether daytime sleepiness is proportional to the severity of sleep apnea in obstructive sleep apnea syndrome (OSAS) is controversial. In this study we investigated how insomnia severity affects the association between daytime sleepiness and sleep apnea severity in OSAS. Methods: The present study included 235 male subjects who were diagnosed with OSAS based on clinical history and nocturnal polysomnography. Pearson's correlation analysis was conducted among sleep and mood-related self-reported data, polysomnographic data and demographic data of all subjects. Based on Pittsburgh Sleep Quality Index (PSQI), the subjects were divided into 2 groups; group A (n = 75; $PSQI{\leq}5$) and group B (n = 160; PSQI > 5). Partial correlation analysis was performed between the Epworth Sleepiness Scale (ESS) and other data in both groups. Multiple linear regression analysis was conducted to investigate the factors which affected the ESS in group A. Results: Pearson's correlation analysis showed weak or non-existent correlations between ESS and apnea severity data such as apnea-hypopnea index (AHI) (r = 0.148, p = 0.023), apnea index (AI) (r = 0.137, p = 0.036), hypopnea index (HI) (r = 0.058, p = 0.377), oxygen desaturation index (ODI) (r = 0.149, p = 0.022) and arousal total index (ATI) (r = 0.129, p = 0.048). Positive correlations between ESS and apnea severity data such as AHI ($r_p=0.313$, p = 0.008), AI ($r_p=0.339$, p = 0.004), ODI ($r_p=0.289$, p = 0.015) and ATI ($r_p=0.256$, p = 0.031) were observed only in group A. Multiple regression analysis showed that AI (t = 2.996, p = 0.004) and BAI (t = 2.721, p = 0.008) were associated with ESS in group A. Conclusion: The correlation between daytime sleepiness and sleep apnea severity was shown only in group A. This result suggests that associations between daytime sleepiness in OSAS and sleep apnea severity will become prominent when controlling for insomnia-related variables.