• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.2
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• pp.70-78
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• 2011

The paper aims at developing a more reliable and accurate BWIM(Bridge Weigh-In-Motion) algorithm using measured strain data and examining its efficiency with various tests on bridges. It proposes a BWIM algorithm using density estimation function and average modification factor for moment-strain relationship. Density estimation function has been proved to be reliably applied when multiple axle loads are estimated. An average modification factor is applied to minimize overall error that can be encountered between theoretically computed moments and measured strains at multiple locations in a bridge. The developed algorithm has been successfully examined through numerical simulations, laboratory tests, and also by field tests on a multi-girder composite bridge.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.6
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• pp.205-213
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• 2008

The structure of PSC box girder with FRP strut has a form of supporting the cantilever part in the widened upper slab by modifying the existing PSC box girder efficiently, and it is able to build an economical and aesthetically pleasing bridge as it reduces the size of the lower structure by reducing the self-weight of the upper structure. In this research, loading test of PSC Box Girder using full-scale mock-up was conducted and FEM analysis was performed. By comparing results, structural safety of the FRP strut and the upper slab following application of the strut in the PSC Box Girder Bridge were evaluated.

• The korean journal of orthodontics
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• v.31 no.2 s.85
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• pp.159-172
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• 2001

Three dimensional analysis of malocclusion and craniofacial deformation is essential for the successful orthodontic treatment. But the orthodontists are not familiar with diagnosis and treatment plane based on lateral cephalometric analysis. Since orthodontists do not posses a sufficient knowledge in standard value of posteroanterior cephalometric anaysis and of clinical importance for transverse jaw growth. In this study male(n=130) and female(n=171) aged from 6 to 16 and diagnosed as Class I malocclusion were selected to analysis width of cranium, maxilla and mandible on the posteroanterior cephalogram. The changes as a function of chronologic age and cervical vertebrae maturity index(CVXI) were examined. The Proper regression model was selected by sex with polynominal regression models and method of variable selection. Mean of each measurements and 70% confidence interval of individual measurement according to age was assesed and a graphs were made. Results are as follows :1. All the measurements for the width are gradually incresed as increase in chronologic age and CVMI. From the total amount of change between age 6 and 16, there is a tendency that mandibular width is broader than maxillary width and the width of male is broader than female. 2. There is no statistically significant sexual difference in Mx-Mn difference, Mx-Mn width differential, Mx/Mn ratio according to age and CVMI. 3. Mean of each measurement and 70% confidence interval of individual measurement according to age and sex were assessed and graphs were made for maxillary width, mandibular width, Mx-Mn difference, Mx/Mn ratio. 4. The width of maxilla and mandible in Korean children are broader than Western children during growth period.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.373-384
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• 2014

Data mining is to clarify pattern or correlation of mass data of complicated structure and to predict the diverse outcomes. This technique is used in the fields of finance, telecommunication, circulation, medicine and so on. In this paper, we selected risk factors of respiratory diseases in the field of medicine. The data we used was divided into respiratory diseases group and health group from the Gyeongsangbuk-do database of Community Health Survey conducted in 2012. In order to select major risk factors, we applied data mining techniques such as neural network, logistic regression, Bayesian network, C5.0 and CART. We divided total data into training and testing data, and applied model which was designed by training data to testing data. By the comparison of prediction accuracy, CART was identified as best model. Depression, smoking and stress were proved as the major risk factors of respiratory disease.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.264-264
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• 2015

최근 기후변화는 우리 삶에 다양한 영향을 미치고 있으며, 이에 따른 수문순환 변화 역시 자명하게 받아들이고 있다. 이에 따라 수자원 취약성 평가 및 대책에 관한 연구는 다양하게 진행되고 있는 실정이다. 하지만 국내의 경우 전체 유역에 대한 수자원 취약성 평가 연구는 부족한 실정이다. 따라서 본 연구에서는 국내 총 12 수계인 한강, 안성천, 금강, 삽교천, 영산강, 섬진강, 탐진강, 만경강, 동진강, 낙동강, 태화강, 형산강 유역에 대한 수자원 취약성 평가를 실시하였다. 평가 방법으로는 장기간에 걸친 다양한 토양의 특징, 토지이용, 관리상태의 변화에 따른 크고 복잡한 유역의 유출량을 추정하기 위해 개발된 SWAT(Soil and Water Assessment Tool) 모형을 이용하여 수문 모형을 구축하였고, 유출 관련 매개변수 최적화 작업은 SWAT-CUP 모형을 이용하였다. 최적화된 매개변수의 적용을 통해 각 유역별 유출량을 산정하였다. 그 결과 2009년과 2011년은 한강, 낙동강, 금강, 영산강순 이였으며, 2010년은 낙동강, 한강, 금강, 영산강순 이였다. 면적별 유출량인 비유량(specific discharge)을 산정한 결과, 2009년에는 영산강, 낙동강, 금강, 한강순 이며, 2010년에는 영산강, 금강, 낙동강, 한강순 이였으며, 2011년에는 금강, 한강, 영산강, 낙동강 순을 보였다. 또한, 인구당 유출량 산정 결과 2009년에는 영산강, 금강, 낙동강, 한강순 이며, 2010년에는 영산강, 금강, 낙동강, 한강순 이며, 2011년에는 영산강, 금강, 낙동강, 한강순 이었다. 이를 바탕으로 국내 총 12 수계에 대한 수자원 취약성을 산정해보았다. 대응변수는 이수의 수요 및 공급적인 측면에서 구분하였으며, 사회/경제, 물 이용, 환경, SWAT으로 구성하였습니다. 수자원 취약성 평가를 위해 다기준의사결정기법(MCDM, Multi-Criteria Decision Making) 중 하나인 TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution)기법을 사용하였다. 산정 결과 삽교천, 동진강, 형산강, 안성천, 섬진강, 만경강, 낙동강, 영산강, 태화강, 금강, 한강, 탐진강 순 이였다. 본 연구 결과는 향후 다중 공간에 구축한 고해상도 모형을 통해 국내 수문상황 진단 및 고해상도 미래 수문 시나리오 생산을 통한 수자원 관리에도 활용될 전망이며, 기후변화 취약성 평가를 위한 지표 개발에 이용될 예정이다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1B
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• pp.21-32
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• 2008

Flood forecasting is a very important tool as one of nonstructural measures for reduction of flood damages in life and property and its accuracy is also an important factor. However, when we apply the Storage Function Model(SFM) which is mainly used for the flood forecasting system in Korea, the determination of the parameters is very important but it is difficult. So, the parameters have been calibrated by using an empirical formulas and judgement of hydrologist. Hence, in this study we perform the sensitivity analysis to understand the parameter characteristics and establish the ranges of parameters of the SFM. Also we do the parameter calibration by using the optimization techniques and objective functions, and evaluate their performances. Especially, we suggest a method to determine proper parameters by using a objective function which can be obtained from flood events. So, we use the suggested method for parameter estimation and compare the estimated parameters with the previously reported parameters. As a result of the application, the estimated parameters by the suggested method showed better than them from the previously reported parameters.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.11
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• pp.221-228
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• 2014

The color and shape of the tongue reflect the physiological and clinico-pathological condition of the body. Recently, various tongue image acquisition devices have been developed for accurate diagnosis based on quantitative and objective tongue features. Since a color information is essential for tongue diagnosis, the performance of an illuminator is very important for the tongue image acquisition device. In this study, we developed an indirect illumination, which is possible to improve a homogeneity of light intensities on the tongue surface, and evaluated its performances. In order to realize the indirect illumination (II), a semi-ellipsoidal solid structure (SESS) for the light reflex was located in the system, and two high-brightness white LEDs were placed for illuminating the areas under frontal camera in the SESS. The tongue surface was illuminated by reflected light from the SESS. The light homogeneity induced by three different illuminations including the II was evaluated by calculating coefficient of variation (CV) of illuminance of five regions. The II showed less than 0.01 of CV and the direct illumination (DI) and the direct illumination with a light diffusion plate (DILDP) showed 0.16 and 0.13, respectively. The reflexed pixel ratios of tongue phantom images show 5.76%, 4.22%, 1.79% for the DI, the DILDP and the II, respectively. The homogeneity of a tongue phantom was evaluated by calculating CV of mean pixel values of six different tongue regions, and showed less than 0.06 in the II. If the II technique apply to tongue diagnosis system, it is expected to improve diagnostic accuracy in clinic.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.805-809
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• 2007

최근 도시의 발달은 하상공간에 대한 이용도를 높이는 방향으로 개발이 진행되어가는 추세이며, 하상도로 및 하상주차장의 이용은 이제 도시 내에서 이용 가능한 마지막 여유 공간으로 인식될 정도로 그 의존도가 높아져가고 있다. 그러나 하상공간의 활용도가 높아져갈수록 도시홍수의 발생으로 인한 대피문제가 발생하게 되고 돌발홍수로 인하여 하상도로의 차단 혹은 하상 주차장에 주차된 차량의 소거가 늦어지는 경우 고스란히 피해를 보게 되는 등 그 부작용도 계속 증가되고 있다. 도시홍수의 특성을 살펴보면 국지성 돌발 강우에 의한 유량의 급격한 증가와 짧은 유하시간, 작은 유역면적 등에 의하여 주요 예보지점까지의 도달시간이 매우 짧아 수문학적 홍수예측 모형을 이용하여 홍수예측 업무를 수행하는데 선행시간을 충분히 확보할 수 없다는 단점을 지니고 있다. 이에 따라 본 연구에서는 기존의 하천시스템에 대한 설계 등을 목적으로 하여 모형의 적용을 통한 시뮬레이션 기법을 적용하고 이를 통하여 홍수 예경보를 발령하기에는 선행시간의 확보(대피시간의 확보)라는 측면에서 상당한 어려움을 지닐 수 있으므로 시시각각으로 측정되는 실시간 수위측정 자료 및 실시간 강우자료를 이용하여 모형의 수행과정을 생략하고 하천의 수위변동을 직접 예측하고 대피할 수 있는 시나리오 기반의 수문모형을 개발하였다. SPSS를 사용한 통계학적 모형을 대전광역시 3대 하천에 대하여 적용한 결과 예측자료가 실측자료를 고수위 및 저수위 부근에서 정확히 모의하지 못하는 경향이 나타났으나 경계 및 위험수위를 설정하고 이를 넘어가는 시점에 대한 예측을 하는 홍수경보 시점 예측에는 효율적인 적용성을 나타내었다.씬 간편하면서도 정확도가 높아서, 환경방사성 스트론튬의 정량분석에 적절히 사용될 수 있다.e form of Jones matrix, which allows a new interpretation in the conversion efficiency of the thin-film optical waveguides.있다는 장점이 있었다. 따라서 소아에서 복막투석도관 수술 시 복강경적 방법을 이용하는 것이 효율적인 복막 투석을 위해 유용하다고 생각된다.상부 방광천자에 비해 민감도 59.5%(25/42), 특이도 86.6%(13/15)였고 위양성률 13.3%(2/15), 위음성률 40.5%(17/42) 로 정확도가 낮았다. 결론 : 소변을 가리지 못하는 영유아에서 요로 감염을 진단하기 위해서는 도뇨관 채뇨에 비해 초음파 감시하 치골상부 방광천자가 정확하고 안전한 채뇨법으로 권장되어야 한다고 생각한다.應裝置) 및 운용(運用)에 별다른 어려움이 없고, 내열성(耐熱性)이 강(强)하므로 쉬운 조건하(條件下)에서 경제적(經濟的)으로 공업적(工業的) 이용(利用)에 유리(有利)하다고 판단(判斷)되어진다.reatinine은 함량이 적었다. 관능검사결과(官能檢査結果) 자가소화(自家消化)시킨 크릴간장은 효소(酵素)처리한 것이나 재래식 콩간장에 비하여 품질 면에서 손색이 없고 저장성(貯藏性)이 좋은 크릴간장을 제조(製造)할 수 있다는 결론을 얻었다.이 있음을 확인할 수 있었다.에 착안하여 침전시 슬러지층과 상등액의 온도차를 측정하여 대사열량의 발생량을 측정하고 슬러지의 활성을 측정할 수 있는 방법을 개발하였다.enin과 Rhaponticin의 작용(作用)에 의(依)한 것이며,

• Journal of Digital Convergence
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• v.13 no.12
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• pp.245-257
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• 2015

This study was to develop the predictive model for severity-adjusted mortality of inpatients with multiple chronic conditions and analyse the factors on the variation of hospital standardized mortality ratio(HSMR) to propose the plan to reduce the variation. We collect the data "Korean National Hospital Discharge In-depth Injury Survey" from 2008 to 2010 and select the final 110,700 objects of study who have chronic diseases for principal diagnosis and who are over the age of 30 with more than 2 chronic diseases including principal diagnosis. We designed a severity-adjusted mortality predictive model with using data-mining methods (logistic regression analysis, decision tree and neural network method). In this study, we used the predictive model for severity-adjusted mortality ratio by the decision tree using Elixhauser comorbidity index. As the result of the hospital standardized mortality ratio(HSMR) of inpatients with multiple chronic conditions, there were statistically significant differences in HSMR by the insurance type, bed number of hospital, and the location of hospital. We should find the method based on the result of this study to manage mortality ratio of inpatients with multiple chronic conditions efficiently as the national level. So we should make an effort to increase the quality of medical treatment for inpatients with multiple chronic diseases and to reduce growing medical expenses.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4910-4918
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• 2013

This study aims to design a Severity-Adjusted LOS(Length of Stay) Model in order to efficiently manage LOS of AMI(Acute Myocardial Infarction) patients. We designed a Severity-Adjusted LOS Model with using data-mining methods(multiple regression analysis, decision trees, and neural network) which covered 6,074 AMI patients who showed the diagnosis of I21 from 2004-2009 Korean National Hospital Discharge in-depth Injury Survey. A decision tree model was chosen for the final model that produced superior results. This study discovered that the execution of CABG, status at discharge(alive or dead), comorbidity index, etc. were major factors affecting a Sevirity-Adjustment of LOS of AMI patients. The difference between real LOS and adjusted LOS resulted from hospital location and bed size. The efficient management of LOS of AMI patients requires that we need to perform various activities after identifying differentiating factors. These factors can be specified by applying each hospital's data into this newly designed Severity-Adjusted LOS Model.