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곽수진,안진호,이상선,Kwag Su-Jin,Ahn Jin-Ho,Lee Sang-Sun 한국통신학회 2006 韓國通信學會論文誌 Vol.31 No.6B
본 논문은 앞으로 산업의 많은 부분에 영향을 미치게 될 ITS(Intelligent Transport System)의 주요 통신 수단인 단거리 전용 통신(DSRC : Dedicated Short Range Communication) 시스템의 성능을 매체 접근 제어(MAC : Media Access Control)단에서의 전송 효율을 분석함으로써 평가하였다. 현재 DSRC는 자동요금징수(ETC : Electric Toll Control)과 버스정보시스템(BIS : Bus Information System) 등의 전송 효율이 시스템이 미치는 영향이 극히 낮은 시스템에 사용되고 있으나, 향후 첨단 운전자 정보 안내 시스템(ADIS : Advanced Driver Information Systems) 또는 첨단차량 및 도로 시스템(AVHS : Advanced Vehicle Highway System) 등과 같은 고도화된 시스템으로 진화할 경우 DSRC의 주요한 매체인 적외선(IR : Infra Red) 방식과 주파수(RF : Radio Frequency) 방식의 MAC 프레임 속성에 따른 서비스의 질은 급격히 변화될 것이다. 따라서 본 논문에서는 그 특성을 전송 속도에 따른 시간의 함수로 구성하여 분석함으로써 이후 다양한 ITS 서비스에 활용할 수 있는 지표를 제공하고자 하였다. In this paper, we analyze the performance of MAC (Media Access Control) layer in DSRC (Dedicated Short Range Communication). It will be widely applied for ITS (Intelligent Transportation System) services; for example ETC (Electric Toll Control), BIS (Bus Information System) etc., needed to small packet size. But If ITS service is evolving to advance ITS, ADIS (Advanced Driver Information Systems) and AVHS (Advanced Vehicle Highway System) etc, be needed larger packet size. In the future, it may offer more various services such as traffic information, collection, and multimedia information. There are two kind of physical media, IR(Infrared) and RF(Radio frequency). And each system has their own protocol that is adaptive in special characteristics of physical medium for using efficiently limited radio resources. In this paper, we analyze the special characteristics of each system. And we study practical use of some related services expected to be used in the near future, by analyzing the transmission efficiency in each DSRC system.
서울 일부 지하철 승무원석의 PM, 이산화탄소, 일산화탄소 모니터링에 의한 실내 공기질 특성 평가
곽현석,진구원,김원,양원수,최상준,박동욱,Kwag, Hyun-Suk,Jin, Ku-Won,Kim, Won,Yang, Won-Su,Choi, Sang-Jun,Park, Dong-Uk 한국환경보건학회 2005 한국환경보건학회지 Vol.31 No.5
[ $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ ] in driver cabins of subway line from 5 to 8 were monitored from 07:00 through 21:00 (or 19:30 or 20:00) on May. Driver cabin of subway line 7 showed the highest $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ concentrations. General Linear Model indicated that subway line, subway location (ground and underground track) and running time (morning and afternoon) significantly influenced the concentrations of $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ (p=0.000). Daily profile of $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$, expressed as an 30 minutes average, showed similar variation pattern over day period. These concentrations showed the highest concentrations between 07:00 and 09:00 of rush hour, slightly dropped and again rose slightly after 18:00. In correlation analysis, significant relations among $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ were detected (p<0.01). In particular, correlation coefficient between $PM_{10}\;and\;PM_{2.5}$ was highly significant (r=0.884). Regression analysis also concluded that $PM_{10}$ concentration significantly explained 71.4% of variation of $PM_{2.5}$ concentration (p=0.000, $R^2=0.714$). Correlations by CO with $PM_{10}\;and\;PM_{2.5}$ were 0.451 and 0.520, which were higher than those by $CO_2$. Further study is needed to examine the sources of $PM_{2.5}$ and CO in subway and to compare pollutants concentration among subway lines.
A Novel Approach to the Enhancement of Lane Estimator by using Kalman Filter
Moon-Hyung Song,Chang-il Kim,Jong-Min Kim,Kwang-Soo Lee,Hyun-Bae Park,Jae-Seok Jeon,Su-Jin Kwag,Moon-Sik Kim 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
Recently vision sensor based lane detection technology is being magnified as automated driving service get into the acceleration step. However, lane detection is not used lateral risk assessment or lateral control alone but also used front target vehicle selection for the longitudinal control system. Ego lane detected from vision sensor is a good assumption as an ego vehicle’s driving path and would be useful to front target vehicle decision. In this sense, the importance of curvature and curvature-rate which have been relatively devaluated then lateral offset and heading angle is getting higher. In this study, a novel approach of lane estimator for more robust curvature information is proposed with Kalman filter. The lane estimator is designed with clothoid road model and an assumption based on lane width. To verify the performance of proposed lane estimator, real-car test in the public road is carried out. The test result shows that robustness of the proposed lane estimator even in failure situation of front camera. Furthermore, the result also showed that accuracy and usefulness of lane estimation based target selection. Through the test result analysis, filtered only two coefficients which related clothoid curvature parameters could make lane information more accurately.