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김영관(Younggwan Kim),이주석(Jusuk Lee),김아정(Ajung Kim),홍지만(Jiman Hong) 한국스마트미디어학회 2021 스마트미디어저널 Vol.10 No.1
기계학습이 보편화되면서 기계학습을 활용한 응용 개발 또한 활발하게 이루어지고 있다. 또한 이러한 응용 개발을 지원하기 위한 기계학습 플랫폼 연구도 활발하게 진행되고 있다. 그러나 기계학습 플랫폼 연구가 활발하게 진행되고 있음에도 불구하고 기계학습 플랫폼에 적절한 부하 분산에 관한 연구는 아직 부족하다. 따라서 본 논문에서는 기계학습 분산 환경을 위한 부하 분산 기법을 제안한다. 제안하는 기법은 분산 서버를 레벨 해시 테이블 구조로 구성하고 각 서버의 성능을 고려하여 기계학습 작업을 서버에 할당한다. 이후 분산 서버를 구현하여 실험하고 기존 해싱 기법과 성능을 비교하였다. 제안하는 기법을 기존 해싱 기법과 비교하였을 때 평균 약 26%의 속도 향상을 보였고, 서버에 할당되지 못하고 대기하는 작업의 수가 약 38% 이상 감소함을 보였다. As the machine learning becomes more common, development of application using machine learning is actively increasing. In addition, research on machine learning platform to support development of application is also increasing. However, despite the increasing of research on machine learning platform, research on suitable load balancing for machine learning platform is insufficient. Therefore, in this paper, we propose a load balancing scheme that can be applied to machine learning distributed environment. The proposed scheme composes distributed servers in a level hash table structure and assigns machine learning task to the server in consideration of the performance of each server. We implemented distributed servers and experimented, and compared the performance with the existing hashing scheme. Compared with the existing hashing scheme, the proposed scheme showed an average 26% speed improvement, and more than 38% reduced the number of waiting tasks to assign to the server.
한국 가임기 여성에서 모유수유와 대사증후군 및 대사증후군 요소와의 관련성에 대한 연구: 2010-2016 국민건강영양조사자료
김민지 ( Minji Kim ),이주석 ( Jusuk Lee ),김태홍 ( Taehong Kim ) 한국모자보건학회 2020 한국모자보건학회 학술대회 연제집 Vol.2020 No.-
Purpose: Here we aimed to examine the association of breastfeeding (BF) with the metabolic syndrome (Mets) and its components among premenopausal parous Korean women. Methods: We conducted a cross-sectional study on 7,116 Korean women by using nationally representative data from the Korea National Health and Nutrition Examination Survey, between 2010 and 2016. Multivariate logistic regression analysis was performed for examining the association of BF with Mets and its components. Results: A total 7,116 women were selected for this study. Mets was present in 12.9% of the study participants. The prevalence of Mets in the BF group (12.38%) was lower than that of the non-BF group (14.69%) (p<0.05). The prevalence of hypertension and hypertriglyceridemia was significantly higher in the non-BF group compared to that of the BF group. For each of Mets components, the total cholestrol level and systolic blood pressure were significantly higher in the non-BF group, compared to those of the BF group (p<0.05). The BF group was associated with a decreased risk of Mets (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.68-0.99). and lower risks of hypo-high-density lipoproteincholesterolemia (OR, 0.78; 95% CI, 0.62-0.68), compared to those of the non-BF group. Conclusion: BF is an important factor in reducing the risks of Mets. These results provide fundamental evidence for the establishment of policies for promoting BF.
모유수유와 부모의 사회경제적 관계에 관한 연구: 2013-2017 국민건강영양조사자료
변정희 ( Joung-hee Byun ),이주석 ( Jusuk Lee ),김태홍 ( Taehong Kim ) 한국모자보건학회 2021 한국모자보건학회지 Vol.25 No.1
Purpose: The importance of breastfeeding is well known. Socioeconomic status is one of the factors affecting breastfeeding. We investigated the association between breastfeeding and parental socioeconomic status to help design future breastfeeding promotion projects. Methods: Data on demographic characteristics and socioeconomic status of parents of 1,220 children aged under 60months were extracted from the 2013-2017 Korea National Health and Nutrition Examination Survey. Results: Some socioeconomic factors were associated with breastfeeding. Maternal factors such as education level (≥13 years: odds ratio [OR], 2.79; 95% confidence interval [CI], 1.21-6.42), middle high income level (OR, 2.30; 95% CI, 1.18-4.49), no smoking status (OR, 3.07; 95% CI, 1.28-7.36) and body mass index (BMI) (<25 kg/m<sup>2</sup>: OR, 1.82; 95%CI, 1.12-2.95) were associated with breastfeeding (p<0.05). In addition, paternal factors such as age (30s: OR, 4.88; 95%CI, 1.82-13.04) and education level (≥13 years: OR, 7.94; 95% CI, 3.12-20.18) were associated with breastfeeding (p<0.05). After controlling for confounding factors, mother’s BMI, father’s age, and father’s educational level were found to be statistically significant predictors of breastfeeding. Conclusion: This study demonstrated that some parental socioeconomic factors were associated with breastfeeding in Korea.