http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
양산 적용을 고려한 래피드 프로토타이핑 플랫폼 기반의 전자 스로틀 제어기 개발
박일수(Ilsu Park),박성민(Seongmin Park),김성근(Sungkun Kim) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
A rapid prototyping is one of the most economical techniques which shorten the development cycle of the control system. It is easy to design and simulate the controller. But the automotive company must pay attention to production as well as design. Therefore, the automotive software developers need the platform which enables seamless development from concept to production level codes. This paper describes the platform which has the structure with hardware-specific layers and hardware-independent layers. The development of electronic throttle controller will be introduced as a practical application based on this platform.
우리나라 성인 여성의 골다공증 위험도 평가점수 모형 개발
박일수 ( Ilsu Park ) 한국보건정보통계학회 2021 보건정보통계학회지 Vol.46 No.1
The aim of the study was to develop the osteoporosis risk scorecard model in korean adult women aged over 30 years old. Methods: The participants of the study were 11,427 adult women aged over 30 years old who participated in the four years of the Korea National Health and Nutrition Examination Survey (2015-2018). The data were analyzed using Rao-Scott chi-square test and weighted multiple logistic regression analysis of complex sampling design. The osteoporosis risk scorecard model was developed by weighted multiple logistic regression using points to double the odds (PDO) method. Results: This study found that there were many major influencing factors for osteoporosis which included household income, educational level, body mass index (BMI), hypertension, stroke, rheumatoid arthritis, hypercholesterolemia, sarcopenia, menopause and age of menarche. In the scorecard results, the highest score range was observed in the order menopause, age of menarche (16-17 years old), educational level (elementary school or below), rheumatoid arthritis BMI (<18.5 kg/m<sup>2</sup>) and others, suggesting that these were the most important risk factors. Conclusions: The significance of this study is that it comprehensively grasps the causal relationship between osteoporosis and various factors in korean adult women. Also, it can be used as a useful measurement tool for women’s musculoskeletal health management in health-related organizations by scoring this relationship.
박일수 ( Ilsu Park ) 한국보건정보통계학회 2022 보건정보통계학회지 Vol.47 No.6
Objectives: The purpose of this study is to present an understanding of the structure and characteristics of health insurance data, which should be basically known in order to use this data more effectively to derive more accurate research results across health and medical care, and an effective use method based on it. Methods: The National Health Insurance Sharing Service and Healthcare Big data open system was reviewed to suggest the structure and characteristics of health insurance data and an efficient use method, and Google Scholar and the Korean Studies Information Service System were used to review the overall application method according to the characteristics of healthcare big data and related literature. Results: The types and characteristics of each research data for public use provided by National Health Insurance Service (NHIS), Health Insurance Review & Assessment Service (HIRA), and the differences between the data of the two institutions were compared and presented. In addition, for the efficient use of health insurance data in healthcare research, understanding the structure and characteristics of health insurance data based on the health insurance system, clear operational definition of analysis variables, adjust bias between comparison groups in case-control study, and the interpretation of analysis results suggest that both statistical and clinical significance should be considered. Conclusions: It is very important to understand the structure and characteristics of health insurance data based health insurance system. And if we consider in more depth ways to efficiently utilize the health insurance data presented in this study, it will be of great help to future researchers and to improve the quality of the research.