• 대한지역사회영양학회지
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• 제12권3호
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• pp.352-360
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• 2007

Several nutrients are known to affect bone mineral density (BMD). However, these nutrients are combined with food intake and dietary patterns and little is known about the association of dietary patterns and BMD. The objective of this study was to investigate the association of dietary patterns with BMD in Korea Genome Epidemiology Study subjects. Among 2,884 women (40-69 yr) recruited at baseline study (2001), 861 subjects with BMD measurements at baseline and a 4-year follow up study (2005) completed the semi-quantitative food frequency questionnaire. BMD was measured by the Quantitative Ultrasound method. One hundred three food items were combined into 17 food groups and 4 dietary patterns were identified by factor analysis. Cluster analysis using factor score classified each subject into one of three dietary pattern groups named 'Rice and kimchi eating' (n = 617), 'Contented eating' (n = 124), and 'Healthy and light eating' (n = 120). The 'Healthy and light eating' group, characterized by higher intake of fruit, vegetables, fish, milk and dairy products, and younger age, more exercise, higher education, and higher income than other groups. The tibia BMD of the 'Healthy and light eating' group was higher than the other groups after adjusting for the age. After the adjustment for the age BMI and exercise, the 'Healthy and light eating' group showed significantly lower odds of tibia osteopenia/osteoporosis risk compared to the 'Rice and kimchi eating' group both at the baseline [OR(95% CI) : 0.50(0.30-0.84)] and follow-up [OR(95% CI) : 0.59(0.36-0.97)] examinations. The dietary pattern with low calorie and high intakes of fruit, vegetables, fish, milk and dairy products may have beneficial effects on BMD in middle-aged women.

• Journal of Advanced Marine Engineering and Technology
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• 제34권1호
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• pp.102-108
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• 2010

본 연구에서는 설계사양과 경제성을 고려한 퍼지형 자동조타기를 설계하기 위한 이전 단계로 Bech와 Wagner Smith의 Nomoto 2차 비선형 확장모델을 퍼지모델로 구현하는 것을 다룬다. 우선 퍼지형 자동조타기를 얻기 위해 선박의 동적 특성을 효과적으로 표현 가능한 T-S 퍼지모델을 얻는다. T-S 퍼지모델은 선박의 회두각속도를 설계변수로 간주하고 이것의 변화에 따라 다수개의 지역 선형모델(서브시스템)을 구한 후, "IF-THEN" 퍼지규칙으로 결합한 것이다. 이때 선형모델의 파라미터와 퍼지모델의 소속함수는 선박의 동적인 특성과 일치하도록 입 출력 데이터와 실수코딩 유전알고리즘이 결합된 모델 조정기법을 이용하여 최적으로 추정한다.

• 대한전기학회논문지:시스템및제어부문D
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• 제50권7호
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• pp.339-349
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• 2001

This paper suggests an optimal identification method for complex and nonlinear system modeling that is based on Fuzzy-Neural Networks(FNN). The proposed Hybrid Identification Algorithm is based on Yamakawa's FNN and uses the simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. In this paper, the FNN modeling implements parameter identification using HCM algorithm and hybrid structure combined with two types of optimization theories for nonlinear systems. We use a HCM(Hard C-Means) clustering algorithm to find initial apexes of membership function. The parameters such as apexes of membership functions, learning rates, and momentum coefficients are adjusted using hybrid algorithm. The proposed hybrid identification algorithm is carried out using both a genetic algorithm and the improved complex method. Also, an aggregated objective function(performance index) with weighting factor is introduced to achieve a sound balance between approximation and generalization abilities of the model. According to the selection and adjustment of a weighting factor of an aggregate objective function which depends on the number of data and a certain degree of nonlinearity(distribution of I/O data), we show that it is available and effective to design an optimal FNN model structure with mutual balance and dependency between approximation and generalization abilities. To evaluate the performance of the proposed model, we use the time series data for gas furnace, the data of sewage treatment process and traffic route choice process.

• 한국지하수토양환경학회지:지하수토양환경
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• 제11권1호
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• pp.45-53
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• 2006

본 연구에서는 토양의 전기가열 특성을 실험을 통해 규명함으로서, 전기저항열을 이용한 토양증기추출법을 실제 현장에 적용 시 토양가열 효율을 증가시키는 방안을 도출하기 위하여, 반응조를 이용한 토양 종류별 자체 특성에 따른 가열 특성과 외부에서의 전기적 특성의 조절을 통한 가열 특성을 살펴보았다 토양의 업자가 작을수록, 토양 내 이 온이 풍부할수록 전기가열 효율이 증가되었으며, 토양이 물로 포화된 경우에도 전기 가열 효율이 증가하였으나 공극률 이상으로 수분이 있는 경우는 오히려 효율이 떨어졌다. 전압이 증가할수록, 전극 사이가 짧아질수록, 유류 오염된 토양일수록 효율은 증가되었다 본 연구에서는 초기 전류와 전기전도도의 정량적 상관관계를 도출함으로써 직접적인 전기가열 실험 없이 전기전도도로 반응조 내 토양이 $100^{\circ}C$ 온도 상승의 가능성을 예측할 수 있게 됐다.

• 한국환경보건학회지
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• 제36권6호
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• pp.465-471
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• 2010

This study aims to investigate the relationship between air pollution exposure and the prevalence of allergic rhinitis in a young population in the Ulsan metropolitan region (UMR). Data on physician-diagnosed allergic rhinitis (past 12 months) in 1,449 infants and children aged 1-18 years who lived within 1.5 or 2 km of air quality monitoring sites were collected in a cross-sectional health interview survey conducted between January-February 2006 in the UMR. Comparisons of the spatial distribution of the prevalence rates for allergic rhinitis and annual average pollutant concentrations over the region showed that a relatively high prevalence rate occurred around the coastal industrial area, with high PM10 concentrations. A linear correlation analysis demonstrated a positive correlation relationship between them (R = 0.680, p = 0.04). Multiple linear regression analysis revealed that the combined effect of the PM10 and $SO_2$ variables accounts for approximately 81% of the variance (R-square: 0.81) in the prevalence rate. From the multiple logistic regression analysis after adjustment by age, sex, and air-pollutant factors, the PM10 and $SO_2$ which were mainly from industrialrelated emissions were found to be significantly associated with an increased risk of allergic rhinitis (aOR: 1.76, 95% CI: 1.15-2.70 for PM10 ; aOR: 1.63, 95% CI: 1.12-2.35 for SO2).

• Journal of Chest Surgery
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• 제49권6호
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• pp.427-434
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• 2016

Background: Recent studies have demonstrated the benefits of off-pump coronary bypass grafting over the on-pump technique in patients with chronic kidney disease (CKD). To further reduce the risk of acute kidney injury and the need for renal replacement therapy, even in patients undergoing off-pump coronary artery bypass grafting, we adopted protocol-based perioperative management for patients with CKD. Methods: From December 2012 to March 2015, 265 patients underwent isolated off-pump coronary artery bypass grafting. To analyze renal function in a stable condition, we excluded 12 dialysis-dependent end stage renal failure and 10 emergency or urgent cases. Among the remaining 243 patients, 208 patients had normal kidney function (normal group), and 35 patients had CKD (CKD group). Minimizing contrast exposure, ensuring adequate hydration, using strict drug dosage adjustment, and optimizing hemodynamic status were key elements of the protocol for the CKD group. Results: The risk of acute kidney injury was about ${\times}3$ higher in the CKD group than in the normal group (p=0.01). Estimated glomerular filtration rates and serum creatinine levels deteriorated until the third postoperative day in the CKD group. However, by adopting protocol-based perioperative management, this transient renal dysfunction recovered to preoperative levels by the fifth postoperative day without requiring renal replacement therapy in all cases. Conclusion: Off-pump coronary bypass surgery combined with this protocol-based perioperative management strategy in patients with non-dialysis-dependent CKD could mostly be performed without renal replacement therapy.

• 한국수자원학회논문집
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• 제38권12호
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• pp.1051-1060
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• 2005

본 연구에서는 관악산 레이더 자료로부터 소양강 유역에서 최적 추정된 레이더 강우로 준분포형 TOPMODEL의 적용성을 평가하고 Monte Carlo난수발생 기법과 연계한 앙상블 유량모의 기법을 구축하여 레이더 추정강우가 가질 수 있는 불확실성이 수문모형에 미치는 영향을 모형의 매개변수와 연계하여 분석하였다. 레이더 추정강우를 활용하여 소양강 유역의 유량계산을 2003년 7월의 사례기간 동안 수행한 결과 실시간 편차보정 기법으로 수정된 레이더 입력강우의 경우 관측유량과 비교하여 매우 잘 일치하는 것으로 나타나 레이더 추정강우의 수문학적 활용성은 매우 높은 것으로 판단된다. 불확실성 분석에서는 레이더 강우가 가질 수 있는 불확실성이 수문모형의 매개변수 불확실성보다 덜 민감하게 영향을 미치는 것으로 검토되었고 레이더 강우와 매개변수가 혼합된 불확실성이 유량모의에서 가장 큰 오차를 보일 수 있는 것으로 검토되었다.

• KDI Journal of Economic Policy
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• 제12권4호
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• pp.71-95
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• 1990

본고(本稿)의 목적은 개인소득세(個人所得稅)의 세수예측(稅收豫測)을 위한 모형개발(模型開發)에 있다. 일반적으로 개인소득세(個人所得稅)는 소비세 또는 물품세와는 달리 복잡한 세율구조(稅率構造)를 가지므로 통계자료가 가능한 소득세(所得稅) 종류별(種類別) 세수함수(稅收函數)(근로소득세, 이자 및 배당소득세, 종합소득세 등의 세수함수)에 소득(所得), 세율구조(稅率構造), 세율수준(稅率水準), 소득분배(所得分配), 세제(稅制)(면세점(免稅點), 공제제도(控除制度) 등)를 설명변수(說明變數)로 포함시켜 추정해 보았다. 그리고 종합소득세(綜合所得稅)는 신고(申告) 및 예납(豫納)된다는 데 착안하여 적절한 시차(時差)를 가지는 세수함수(稅收函數)로 설정하여 추정하였다. 상이한 접근방법으로 인하여 적접적인 비교는 어려우나 개인소득세수(個人所得稅收)의 소득탄력성(所得彈力性)이 기존의 추정치보다 작은 1.2~1.3으로 나타났다는 점이 본고(本稿)의 주요 결과 중 하나이다.

• Journal of Advanced Marine Engineering and Technology
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• 제3권1호
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• pp.19-31
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• 1979

Recently the adaptive control system, which keeps the control system always optimal by adjusting the control parameters automatically according to the variations of the plant parameters, have become very important in the field of control engineering. The adaptive control systems are usally composed of the plant identification, the decision of the optimal control parameters, and the adjustment of the control parameters. This paper deals with a method of the adaptive control system when PI or PID controller is used in the feed back control system. Its controlled object (the plant) is assumed to be described by the transfer function of $\frac{ke^{-LS}}{1+TS}$ where k, T and L are steady state gain, time constant and pure dead time respectively, and their values are variable in accordance with the change of environmental circumstance. It has been known that a pseudo-random binary signal is quite effective for the measurement of an impulse response of a plant. In adaptive control systems, however, the impulse response itself is not appropriate to determine the control parameters. In this paper, the authors propose a method to estimate directly the parameters of the plant k, T and L by means of the correlation technique using 3 level M-sequence signal as a test signal. The authors also propose a method to determine the optimal parameters of the PI or PID controller in the sense of minimizing the square integral of the control error in the feed back control system, and the values of the optimal parameters are computed numerically for various values of T and L, and the results are examined and compared with those of the conventional methods. Finally the above-mentioned two methods are combined and an algorithm to struct an adaptive control system is suggested. The experiments for the indicial responses by means of both the model of the temperature control system using SCR actuater and the analog simulations have shown good results as expected, and the effectiveness of the proposed method is verified. The M-sequence generator and the time delay circuit, which are manufactured for the experiments, are operated in quite a good condition.

• Journal of Preventive Medicine and Public Health
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• 제40권1호
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• pp.29-35
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• 2007

Objectives : To assess whether the risk-adjusted in-hospital mortality rates for non-emergent and isolated coronary artery bypass graft surgery (CABG) patients exhibited a consistent trend from 2001 to 2003. Methods : The data used in this study came from CABG claims that were submitted to a Korean Health Insurance Review Agency (HIRA) in 2001, 2002, and 2003. Study datasets included data from 17 tertiary hospitals, which had at least 25 claims each year over 3 years. The inter-hospital differences in patients' risk-factors were identified and controlled in the risk-adjustment model. Actual and predicted mortality rates for each hospital were calculated in 2001, 2002, 2003, and 2001+2002, and were then examined to identify consistent rate patterns over time. Kappa analysis was applied to assess the agreements between rates. Results : Hospitals with lower-than-expected inpatient mortality rates showed more consistent rates than those with higher-than-expected mortality rates. The mortality rates that were calculated based on data obtained over multiple years had less variation among hospitals than rates based on single year data. Based on the Kappa score, the highest agreement was found when the rates were compared between the 2-year combined data (2001+2002) and 2003. Conclusions : Consistent patterns over 3 years were most evident for hospitals which had lower-than expected mortality rates. Policy makers can use this information to identify the degree of outcomes in hospitals and help motivate or channel the behaviors of providers.