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Self Inflation Tire의 유동 해석을 위한 간략화 타이어 모델 개발
김명준(Kim Myeongjun),박태원(Park Taewon),황인경(Hwang Inkyeong) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
Maintaining a proper air pressure in the tire is an essential element for ensuring vehicle safety. If the air pressure is excessive compared to normal tire the temperature is increased at least twice. This is a cause of tire explosion. If the air pressure is decreased, tire rolling resistance rapidly increases. This is a cause of reduced braking performance and fuel economy decrease. Accordingly, it is “Self Inflation Tire” technology development is accelerating worldwide. Flow analysis was not used in the conventional analysis Tire. However, “Self Inflation Tire” is needed the flow analysis. In this study, suggests Simple Tire Model for Flow Analysis of Tire. Use the Ansys for performing flow analysis. General Tire Model is a very complex model including more than 10 Component with Rebar elements. In Ansys, it is hard to use. Therefore, it is need to modeling with 3 or 4 Component. The Tire model developed in this study can be used in internal flow analysis of the Self Inflation Tire. As well as to shorten the analysis time than the general tire model. Just it needs the correct verification procedures for the validity of the analysis results.
Piece and Conquer Fireworks알고리즘을 이용한 자율주행 알고리즘 하이퍼파라미터 최적화 기법
김명준 ( Myeongjun Kim ),김건우 ( Gun-woo Kim ) 한국정보처리학회 2023 한국정보처리학회 학술대회논문집 Vol.30 No.2
본 논문은 F1TENTH 와 같은 자율주행 경주 대회를 위한 고전적인 자율주행 알고리즘의 파라미터 최적화에 관한 연구를 다룬다. 고전적인 자율주행 알고리즘은 하이퍼파라미터의 영향을 크게 받고 더 나아가서 하이퍼파라미터의 설정에 따라서 성능의 차이가 크다. 이 하이퍼파라미터를 빠르게 찾기 위하여 Piece and Conquer Fireworks 방법을 제안한다. 결과적으로Random search에 비해서 일반 Fireworks알고리즘은 약8.3배, Piece and Conquer Fireworks알고리즘은 약 28.5배 빠른 성능을 보여준다.
영상 데이터 무결성 검증 시스템을 위한 Logger 설계 및 개발
김명준 ( Myeongjun Kim ),유태근 ( Yu Taegeun ),정석원 ( Jeong Seokwon ),박재성 ( Jaesung Park ),권태언 ( Taeun Kwon ),강윤희 ( Yunhee Kang ) 한국정보처리학회 2022 한국정보처리학회 학술대회논문집 Vol.29 No.2
최근 데이터를 기반 응용개발이 다양한 분야에서 진행되고 있으며, 수집 데이터는 주요한 의사 결정에 사용되고 있다. 이러한 데이터 기반 응용은 데이터의 무결성(data integrity)의 보장과 데이터 생산 과정에서의 진본 확인을 위한 체계가 요구된다. 본 논문에서는 영상 데이터의 무결성 검증 시스템을 구성하는 Logger 설계와 개발을 기술한다. 개발된 Logger 는 해시값을 통해 영상 데이터의 신뢰성을 만족할 수 있다면 영상 데이터를 통해 학습되어 생성된 학습 모델에 대한 신뢰성 또한 보장 할 수 있다. Logger 는 라즈베리파이 환경에서 구현한 후 FPS 를 변경하며, 무결성 검증을 실험한다.
임상실습을 경험한 간호대학생의 감염관리 활동의 관찰과 수행을 통한 감염관리에 대한 인식 및 심리적 갈등
김미영 ( Kim Mi Young ),김명준 ( Kim Myeongjun ),김종원 ( Kim Jongwon ),맹지선 ( Maeng Jiseon ),박수민 ( Park Sumin ),손지아 ( Son Jia ) 서울대학교 간호과학연구소 2017 간호학의 지평 Vol.14 No.1
Purpose: To study the internal psychological conflicts among nursing students during an infection control protocol carried out in the hospital by measuring their observation skills and performance during clinical training. Methods: Investigation of both pre- and post- infection control was conducted using questionnaires for clinical infection practices. We identified and evaluated the students` observation skills, clinical performance, clinical perception, and internal conflict regarding clinical infection control. We also interviewed the students as part of our study. Results: Among parameters such as clinical performance, observation skills, clinical perception, and internal conflict, the average observation skills (t=5.49, p<.001) were significantly lower, while internal conflict among students (t=-7.23, p<.001) was significantly higher than expected prior to clinical training. Generally, there was a negative correlation between observation skills and internal conflict in every aspect of infection control practice (r=-.281, p=.031). Internal conflict was significantly higher than expected in the context of hand hygiene (t=-2.135, p=.037), personal hygiene (t=-3.48, p=.002), and ventilator management (t=-3.69, p<.001). Clinical performance of students in the context of hand hygiene (t=4.69, p<.001), personal hygiene (t=2.06, p=.044), and ventilator management (t=2.68, p<.001) was significantly lower than expected prior to clinical training. Conclusion: Our findings showed that internal psychological conflict is higher when infection control practices are observed or performed to a lesser degree. Therefore, reinforcing education regarding infection control among students, such as developing a systematic program, or consecutive training and monitoring, is suggested.
자율주행 시스템의 Pure-pursuit 알고리즘을 이용한 Path Management 시스템 개발
최윤중(YunJung Choi),김현우(Hyunwoo Kim),신희석(HeeSeok Shin),김명준(MyeongJun Kim),김상준(SangJun Kim),길현준(HyunJun Gil),서주원(JuWon Seo),박선영(SunYoung Park),김재일(Jaell Kim),임효진(HyoJin Lim),김정하(JungHa Kim) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
Research on autonomous vehicles consists of perception, judgement, and control. This paper is about the Ld method of the Pure-pursuit algorithm among the control algorithms based on the kinematic method in the control field. In the process of finding the correct L<SUB>d</SUB> for actual control, an error occurred between the detected L<SUB>d</SUB> value and the correct L<SUB>d</SUB>, and only a part of the path was detected L<SUB>d</SUB>. In order to store only the coordinates to be detected by LD in the path reference, the interval between paths was set very small, and the average interval and error of the detected LD values were calculated. The average interval and error of the detected LD value was proportional to the distance the sensor moved during the period of receiving a new signal, and accordingly, the path interval and path error were set appropriately. In the existing algorithm, the optimal interval and error are determined using the experimental data of the vehicle. The algorithm in this study may be less accurate than the existing algorithm. However, using only the target speed, the period of the sensor, and the minimum turning radius of the vehicle, it is possible to set the distance and the error of the path with high accuracy. Finally, the verification was carried out by directly controlling the autonomous vehicle.