• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 추계학술대회 논문집
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• pp.771-772
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• 2012

• 한국건강관리협회지
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• 제4권1호
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• pp.39-48
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• 2006

Background : Diabetes mellitus is chronic condition which needs patients' understanding of disease status and effort for disease control. We investigated whether the patients' estimation for blood glucose control was reliable or not comparing with their HbA1C value, Method: Among people who visited one health promotion center in Seoul from 1995 to 2003,those who answered as having diabetes mellitus on self reported questionnaire were identified. Subsequent question was whether his or her diabetes was well controlled or not. We compared these replies with their HbA1C values. When their HbA1C values were below7% with answering not well controlled, we analyzed if there was any variable which can predict the discrepancy. And the same analyze we did for the opposite situation. Result: A total of 1193 patients were eligible. Those who answered as well controlled formed32.9% of the group with HbA1C values above 7%. In the cases with well controlled though significantly associated with this discrepancy, Conclusion: Considerable proportion of diabetic patients' estimation for diabetic control status was not matched with glycemic control guideline. For successful management of diabetes mellitus, more efforts for patient education and communication skills are essential.

• 한국소음진동공학회논문집
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• 제23권4호
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• pp.347-355
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• 2013

A damage estimation method for monopile support structure of offshore wind turbine using modal properties and committee of neural networks is presented for effective structural health monitoring. An analytical model for a monopile support structure is established, and the natural frequencies, mode shapes, and mode shape slopes for the support structure are calculated considering soil condition and added mass. The input to the neural networks consists of the modal properties and the output is composed of the stiffness indices of the support structure. Multiple neural networks are constructed and each individual network is trained independently with different initial synaptic weights. Then, the estimated stiffness indices from different neural networks are averaged. Ten damage cases are estimated using the proposed method, and the identified damage locations and severities agree reasonably well with the exact values. The accuracy of the estimation can be improved by applying the committee of neural networks which is a statistical approach averaging the damage indices in the functional space.

• 전력전자학회논문지
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• 제26권3호
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• pp.183-191
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• 2021

A battery management system (BMS) provides some functions for ensuring safety and reliability that includes algorithms estimating battery states. Given the changes caused by various operating conditions, the state-of-health (SOH), which represents a figure of merit of the battery's ability to store and deliver energy, becomes challenging to estimate. Machine learning methods can be applied to perform accurate SOH estimation. In this study, we propose a Long-Term Recurrent Convolutional Network (LRCN) that combines the Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM) to extract aging characteristics and learn temporal mechanisms. The dataset collected by the battery aging experiments of NASA PCoE is used to train models. The input dataset used part of the charging profile. The accuracy of the proposed model is compared with the CNN and LSTM models using the k-fold cross-validation technique. The proposed model achieves a low RMSE of 2.21%, which shows higher accuracy than others in SOH estimation.

• 보건행정학회지
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• 제10권3호
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• pp.50-67
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• 2000

This study aims to estimate the consumption of antibiotics in Korea and to suggest the further studies. To measure the amount of antibiotics consumption, we referred to the statistic of NFHI(National Federation of Health Insurance) and a private institute of pharmaceutical information(Korea Intercontinental Medical Statistics; IMS Korea). There were 1,563 antibiotics produced in Korea in 1997. The total amount of antibiotics production was 1,197 billion won in 1997. Antibiotics accounted for 17.6% of the total pharmaceutical productions in 1997. Cephalosporins have taken the largest part of antibiotics production since 1992. The estimation using NFHI data showed that the total expenditure of antibiotics used in health facilities was 268 billion won, 608 billion won, 911 billion won in 1990, 1994, 1997 respectively. Tertiary hospitals spent 246 billion won, general hospitals 287 billion won, hospitals 78 billion won, clinics 300 billion won in 1997. The amount of expenditure and the intensity of antibiotics consumption in hospitals have increased more steeply than any other health facilities. The total expenditure of antibiotics consumption in health facilities and pharmacies was 778 billion won when estimated using the data from IMS Korea, and 999 billion won from NFHI. Cephalosporins was the fast growing antibiotics group in all of the market- hospitals, clinics, pharmacies since 1991. To measure the amount and patterns of antibiotics consumption more precisely, a pharmaceutical monitoring or surveillance system is needed.

• 한국환경보건학회지
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• 제45권1호
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• pp.97-98
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• 2019

• 응용통계연구
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• 제27권7호
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• pp.1115-1123
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• 2014

제 1상 임상시험의 주목적은 시험약의 독성을 평가하여 부작용을 최소화하고 안전하게 투여할 수 있는 적정 용량인 최대허용용량(Maximum Tolerated Dose; MTD)의 추정이다. 기존에 최대허용용량 추정 방법에는 SM방법(Storer, 1989; Korn 등, 1994), ATD방법(Simon 등, 1997) 그리고 DM방법(Dixon과 Mood, 1948) 등이 있다. 본 논문에서는 초기 가속 단계를 적용하여 약효가 없는 낮은 용량에 많은 피험자들이 배정되는 점을 보완하고, 이 초기 가속 단계로 빠르게 용량을 증가함으로 인해 떨어진 안전성을 개선하기 위해 용량감량을 허용하는 방법을 적용시켜 MTD 를 추정하는 방법을 제안하였다. 기존의 방법들과 본 논문에서 제안한 방법을 모의실험을 통해 비교하였다.

• 응용통계연구
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• 제32권5호
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• pp.741-752
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• 2019

제1상 임상시험의 주목적은 최대허용용량(maximum tolerated dose; MTD)을 결정하는 것이다. MTD 결정을 통해 다음 임상시험에 사용될 용량이 제한되므로 투약용량 발견 시험이라고도 불리며 매우 중요한 단계이다. MTD를 결정하는 방법에는 대표적으로 DM 방법, SM 방법, CRM 방법이 있다. 본 논문에서는 기존 수정된 CRM 방법에 초기가속화 단계를 적용하여 낮은 용량에 다수의 피험자가 할당되는 문제점을 보완하는 새로운 MTD 추정 방법을 제안하였고 기존 방법들과의 비교를 위해 모의실험을 실시하였다.

• 식품보건융합연구
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• 제8권1호
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• pp.21-30
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• 2022

This study proposed a multiple regression equation for predicting VO2max of elderly men and women using functional performance variables required to conduct daily activities. The subjects of this study were 58 elderly men (72.4±5.9 yrs) and 117 elderly women (73.4±4.5 yrs) aged 65-90 who belong to the senior welfare center. The maximal graded exercise test using a cycle ergometer and functional performance representing muscle strength, endurance, static and dynamic flexibility, mobility, and agility were measured. For statistical processing, multiple regression analysis was performed, and the statistical significance level was α = .05. As a result, the VO2max estimation formula for the elderly was 0.419 (standing up and sitting down a chair) + 0.199 (leg endurance against wall) + 5.383, and R2=0.406. In addition, the VO2max estimation formula for elderly women is - 0.737 (standing up from a supine position) - 0.144 (waking around two cones in a figure 8) - 0.135 (%body fat) + 0.042 (one leg balance with eyes open) + 29.395, R2=0.367 was calculated. The conclusion is that if the maximal graded exercise test is not available, it is considered that VO2max of the elderly can be predicted properly by using the estimation formula calculated based on the functional performance variable.

• Journal of Preventive Medicine and Public Health
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• 제40권2호
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• pp.114-121
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• 2007

Power and sample size estimation is one of the crucially important steps in planning a genetic association study to achieve the ultimate goal, identifying candidate genes for disease susceptibility, by designing the study in such a way as to maximize the success possibility and minimize the cost. Here we review the optimal two-stage genotyping designs for genomewide association studies recently investigated by Wang et al(2006). We review two mathematical frameworks most commonly used to compute power in genetic association studies prior to the main study: Monte-Carlo and non-central chi-square estimates. Statistical powers are computed by these two approaches for case-control genotypic tests under one-stage direct association study design. Then we discuss how the linkage-disequilibrium strength affects power and sample size, and how to use empirically-derived distributions of important parameters for power calculations. We provide useful information on publicly available softwares developed to compute power and sample size for various study designs.