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마스크 성능 평가용 로보틱 헤드폼 개발을 위한 머리 동작 분석
정영제,전은진,김민재,김은미,나형진,유희천 대한인간공학회 2023 大韓人間工學會誌 Vol.42 No.5
Objective: This study aimed to collect and analyze quantitative data on head and jaw movements during three leakage evaluation maneuvers used in the evaluation of leakage of medical masks for personal protective equipment. Background: Conventional mask leakage evaluation has been performed with actual human subjects wearing masks. However, the results of leakage evaluation can vary depending on the size and shape of the subject's face, and there are limitations such as the risk of physical harm when conducting leakage tests on children and older adults. Method: In this study, 40 participants (20 males and 20 females) aged 20 to 50 were recruited to measurement and analysis of head and jaw movements during three mask leakage evaluation maneuvers (walking at 6km/h with head movement to the left and right, moving the head up and down, and speaking Korean sentences) using an optical motion analysis system. Results: Head movements were measured to be on average 50.3±1.2° to the right, 52.3±1.2° to the left, 40.7±2.0° upwards, and 37.7±1.6° downwards. The least movement was observed in the 50s age group (left: 47.1±2.0°, right: 48.1±1.9°, upwards: 34.4±3.9°, downwards: 33.1±2.9°). Jaw movements were found to be 16.1 ±0.6° in angle and 9.0±0.5mm in distance, with the greatest movement observed in the 40s age group (angle: 17.7±0.9°, distance: 9.9±0.6mm). Conclusion: This study involved the quantitative measurements of head and jaw movements during a mask leakage test conducted on a sample of 40 Koreans to ascertain variations in these movements with respect to age and gender. Application: The findings from this research may serve as fundamental data for the design of a robot that aligns with the facial characteristics of Koreans and enhance the accuracy and efficiency of mask leakage assessments.
정영제,안계형,고광용 한국도시철도학회 2018 한국도시철도학회논문집 Vol.6 No.1
In this study, the simulation evaluation system HILS(Hardware-In-the-Loop-Simulation) for tram signal priority evaluation system was developed. Early Green, Green Extension, and Phase Insertion techniques as active tram signal priority algorithm are implemented in the signal controller. We developed a simulation evaluation system of tram signal priority algorithm by linking traffic signal controller and microscopic simulator VISSIM. The case analysis showed that the tram delay could be improved by more than 35%.
Tram Passive Signal Priority Strategy based on the MAXBAND Model
정영제,김영찬 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.5
This research proposes a new tram progression model, TRAMBAND, which is a passive tram signal priority strategy. TRAMBAND was formulated based on the MAXBAND model, which is a traditional arterial signal optimization model tomaximize bandwidth. A tram that leaves a station during an appointed green time can arrive at subsequence station withoutexperiencing intersection delays and stops by using the tram bandwidth. In order to guarantee a desired green time for other roadusers and minor streets, the TRAMBAND model determines the traffic signal timings for tram passive priority using only a left-turnphase sequence and offset. This strategy also maximizes the general vehicles bandwidth in the context of the fixed tram bandwidth ina median tram rail. The tram dwell-time and its variability influence the efficiency of the passive priority. In this study, the stop timeat station is divided by the dwell-time and waiting time. The tram has to wait at station during the waiting time after the dwell-time;however, the waiting time is used as slack time to absorb the dwell-time variability and to maximize the general vehicle bandwidth. The case study is based on nine signalized intersections and a micro-simulator VISSIM, wherein it demonstrates that the proposedtram priority model, TRAMBAND, is capable of computing signal timings so as to avoid intersection delays and stops of tram andmaintain the general vehicle bandwidth.