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한국형 실사고 심층조사 데이터베이스 질향상을 위한 차량속도(ΔV) 측정방법에 관한 연구
추연일,이강현,공준석,이희영,전준호,박종진,김상철,Choo, Yeon Il,Lee, Kang Hyun,Kong, Joon Seok,Lee, Hee Young,Jeon, Joon Ho,Park, Jong Jin,Kim, Sang Chul 한국자동차안전학회 2020 자동차안전학회지 Vol.12 No.2
Modern traffic accidents are a complex occurrence. Various indicators are needed to analyze traffic accidents. Countries that have been investigating traffic accidents for a long time accumulate various data to analyze traffic accidents. The Korean In-Depth Accident Study (KIDAS) database collected damaged vehicles and severity of injury caused by Collision Deformation Classification code (CDC code), Abbreviated Injury Scale (AIS), and Injury Severity Score (ISS). As a result of the investigation, data relating to the injuries of the occupants can be easily obtained, but it was difficult to analyze human severity based on the information of the damaged vehicle. This study suggests a method to measure the speed change at the time of an accident, which is one of the most important indicators in the vehicle crash database, to help advance KIDAS research.
또래멘토링 학습을 적용한 수준별 변형(Do Dream) 배구 수업의 사례연구
추연일(Youn Il Chu),정성우(Sung Woo Jung) 한국스포츠교육학회 2013 한국스포츠교육학회지 Vol.20 No.4
배구단원은 중학교 3학년 교육과정 네트형 경쟁활동에 속해 있어 가르치기를 기대하고 있으나, 실제로 학교에서는 기대만큼 다루어지지 않고 있는 실정이다. 그 이유를 정확하게 무엇이라 말할 수는 없겠지만, 수업시간마다 네트를 설치하고 거두어야 하는 번거로움, 12명밖에 들어갈 수 없는 경기장, 배구경기를 즐기기 위한서브, 패스, 스파이크 등의 기능숙달의 어려움, 학생들의 흥미부족과 교수학습방법의 어려움으로 수업을 운영하는 교사는 많지 않다. 따라서 또래멘토링 학습을 적용한 수준별 변형 수업을 통하여 학생들이 보다 쉽고,안전하고, 재미있게 배구 수업에 참여할 수 있도록 수업환경을 재구성하여 수업의 효과를 높이고자 하였다. 연구자는 B광역시 교육청 수업컨설팅 컨설턴트의 경험을 통해, 배구 수업 지도의 어려움을 이해하고, 교수·학습방법 개선과 수업전략을 개발하기 위해 기존의 배구경기방법과 규칙을 변형하여 학생 맞춤형 수업전략을 통해 학습의욕을 향상시키고자 하였다. 총 32명의 학생들이 연구에 참여하였으며, 연구자의 일지, 심층면담, 설문자료, SWOT 기록지 등의 양적·질적 자료를 분석하였다. 연구결과 또래멘토링 학습과 경기방법 및규칙변형을 통해 학생들의 수업만족도와 흥미를 유발할 수 있었으며, 교수학습지도방법의 개선으로 네트형경쟁활동 배구수업 활성화에 도움을 줄 수 있을 것으로 기대된다. Even though it is included and expected to be taught as one of competitive activities in the ninth grade curriculum at middle school, a volleyball section is not actually taught at school as expected. It is really hard to state the reasons specifically. However, there are not many teachers who operate the class due to the trouble of installing and removing the net each class hour, the playing field that only 12 people can enter, the difficulties in the mastery of skills needed to enjoy volley matches such as serve, pass and spike, the shortage of facilities and auditoriums, a lack of students` interest, and difficulties in teaching and learning methods. In this situation, this study intended to reorganize learning environment to increase class effects so that students could participate in volleyball classes more easily, safely and pleasantly through modified classes by level, which peer mentoring learning was applied to. The researcher understood the teaching difficulties in volleyball classes through the experience accumulated as a class consultant in B city. This study modified the existing volleyball game techniques and rules to improve students` learning motivation in order to improve teaching and learning methods and develop instructional strategies by section. This study intended for a total of 32 students. This study collected and analyzed qualitative data such as the researcher`s journal, in-depth interviews,survey data and SWOT records. As a result of the study, Students` class satisfaction and interest were able to be evoked through peer mentoring learning and modified game techniques and rules. Furthermore, the improvement in volleyball teaching and learning methods was expected to contribute to the revitalization of volleyball classes as a net competitive activity.
이희영,이강현,김오현,육현,안교진,공준석,강찬영,추연일,김호중,김상철 사단법인 한국자동차안전학회 2019 자동차안전학회지 Vol.11 No.3
Developed countries are operating an in-depth database in motor vehicle crashes nationwide. They do not rely solely on the police investigation reports that are responsible for motor vehicle crashes in each country but are developing into a useful database by expanding the categories of data through more indicators addition. In Korea, after implementing comprehensive measures to reduce traffic accident deaths in 2013, the medical centers participated in establishing the actual accident investigation system, which was called as the Korean In-Depth Accident Study (hereinafter KIDAS). This KIDAS database included more in-depth indicators as the types of accidents, types of vehicles, the injury severity, adequacy of safety devices, seating position of passengers. Although there are difficulties in establishing an actual accident investigation system including data collection due to various restrictions, if the system can cooperate with each other such as medical centers, insurance companies, police, fire and rescue services, towing companies, and car repair shops in the future, It would be expected to contribute to the development of safer vehicle, treatment system and traffic safety policy that lower the injury severity of occupant in the event of a motor vehicle crashes.
고칼륨혈증 모니터링을 위한 딥러닝 기반 혈청 칼륨 수치에 따른 심전도 변화 스크리닝
문병진,변준,박영철,육현,이희영,추연일 대한전자공학회 2022 전자공학회논문지 Vol.59 No.2
고칼륨혈증(hyperkalemia)은 혈청 칼륨 수치(Serum Potassium Level : SPL)가 이상일 때 진단되며, 심장리듬에 영향을 미쳐 심부전을 일으킬 수 있으므로 빠른 경고가 중요하다. 혈청 칼륨 수치의 증가는 일반적으로 심전도(Electrocardiogram : ECG)의 변형을 일으킨다. 따라서 본 논문에서는 혈청 칼륨 수치에 따른 심전도 변화를 분석하여 고칼륨혈증의 위험이 있는 환자에게 고칼륨혈증의 위험성을 경고할 수 있는 딥러닝 모델을 제안한다. 본 논문에서는 장단기메모리(Long Short Term Memory : LSTM)와 함께 깊이별 분리 가능한 합성곱 커널을 기반으로 하는 합성곱 순환신경망(Convolutional Recurrent Neural Network : CRNN) 모델을 사용하였다. 실제 1,879명 환자의 심전도 데이터들을 대상으로 수행된 실험은 제안된 딥러닝 모델이 심전도의 변화를 분석하여 혈청 칼륨 수치를 비교적 정확하게 예측하고, 깊이분리 합성곱 커널을 사용함으로 인해 작은 네트워크 매개 변수로도 정확도를 유지할 수 있음을 보여준다.
탑승자 교통사고에서 경추손상 판단을 위한 중증도 요인 분석
이희영,육현,공준석,강찬영,성실,이정훈,김호중,김상철,추연일,전혁진,박종찬,최지훈,이강현,Lee, Hee Young,Youk, Hyun,Kong, Joon Seok,Kang, Chan Young,Sung, Sil,Lee, Jung Hun,Kim, Ho Jung,Kim, Sang Chul,Choo, Yeon Il,Jeon, Hyeok Jin,Park, Jon 한국자동차안전학회 2018 자동차안전학회지 Vol.10 No.3
It was a pilot study for developing an algorithm to determine the presence or absence of cervical spine injury by analyzing the severity factor of the patients in motor vehicle occupant accidents. From August 2012 to October 2016, we used the KIDAS database, called as Korean In-Depth Accident Study database, collected from three regional emergency centers. We analyzed the general characteristics with several factors. Moreover, cervical spine injury patients were divided into two groups: Group 1 for from Quebec Task Force (hereinafter 'QTF') grade 0 to 1, and group 2 for from QTF grade 2 to 4. The score was assigned according to the distribution ratio of cervical spine injured patients compared to the total injured patients, and the cut-off value was derived from the total score by summation of the assigned score of each factors. 987 patients (53.0%) had no cervical spine injuries and 874 patients (47.0%) had cervical spine injuries. QTF grade 2 was found in 171 patients (9.2%) with musculoskeletal pain, QTF grade 3 was found in 38 patients (2.0%) with spinal cord injuries, and QTF grade 4 was found in 119 patients (6.4%) with dislocation or fracture, respectively. We selected the statistically significant factors, which could be affected the cervical spine injury, like the collision direction, the seating position, the deformation extent, the vehicle type and the frontal airbag deployment. Total score, summation of the assigned each factors, 10 was presented as a cut-off value to determine the cervical spine injury. In this study, it was meaningful as a pilot study to develop algorithms by selecting limited influence factors and proposing cut-off value to determine cervical spine injury. However, since the number of data samples was too small, additional data collection and influencing factor analysis should be performed to develop a more delicate algorithm.