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연료첨가제 주입에 따른 승용차의 규제물질 배출특성 분석
정성운 ( Sung Woon Jung ),손지환 ( Ji Hwan Son ),홍희경 ( Hee Kyoung Hong ),성기재 ( Ki Jae Sung ),김정수 ( Jeong Soo Kim ),김정화 ( Joung Hwa Kim ) 한국분무공학회 2015 한국액체미립화학회지 Vol.20 No.4
This paper was designed to investigate emission characteristics of regulated pollutants (CO, HC, NOx and PM) from 134 diesel and gasoline passenger cars based on emission standards according to fuel additives. The experiments using chassis dynamometer were conducted under NEDC and CVS-75 modes. Comparison for fuel additive management and test between Korea, USA, EU and Japan, Korea was more strict than others. The fuel additives of this study was satisfied within fuel manufacturing standards. For with/without fuel additives according to diesel emission standards, NOx of EURO 4 and EURO 5 showed a relatively similar tendency. In the case of PM reduction rate, EURO 5 was over 20% increased than EURO 4.In the case of standard deviation/average ratio for gasoline vehicles, variation interval was big for LEV 23.3~58% and ULEV 31.6~56.4%. Following the imposition of stricter regulations (EURO 5 and ULEV), difference rate for standard deviation was big. Especially, in the case of diesel vehicles, difference rate for NOx 68% and PM 48% was most big. The results of present study will be of assistance in completing the legislative process and will provide basic data to set up emission standards for fuel additives in Korea.
국부적 gamma-shift 영상 증식을 이용한 GAN기반 LDR 영상 변환 학습
정성운(Sung-Woon Jung),권혁주(Hyuk-Ju Kwon),김영춘(Young-Choon Kim),안상호(Sang-Ho Ahn),이성학(Sung-Hak Lee) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8
The unpaired image-to-image translation showed potential of GAN(Generative Adversarial Network) in an image creation field. However when converting HDR(high dynamic range) tone mapping images, the directional results of converting domain images into HDR tone mapping images are distorted or slightly brighter. Therefore, we present method of LDR(low dynamic range) image transformation with Generative Adversarial Network based on the RW GAN. The proposed method is to extend the data tone level by gamma-shift. so, this paper modifies the weight loss function and RFT(regional fusion training) methods of the RW GAN. The local contrast of results is enhanced and the color preservation performance is better than conventional methods.
국내 휘발유 승용차의 CO<sub>2</sub> 배출 현황
유영숙,류정호,정성운,전민선,김대욱,엄명도,김종춘,Lyu, Young-Sook,Ryu, Jung-Ho,Jung, Sung-Woon,Jeon, Min-Seon,Kim, Dae-Wook,Eom, Myung-Do,Kim, Jong-Choon 한국자동차공학회 2007 한국 자동차공학회논문집 Vol.15 No.2
As the concerns regarding global worming were increased, the pressure of greenhouse gas(GHG) emission reduction on mobile source was also increased. Carbon dioxides contribute over 90% of total GHG emission and the mobile source occupies about 20% of this $CO_2$ emission. Therefore automotive exhaust is suspected to be one of the major reasons of the rapid increase in greenhouse effect gases in ambient air. In this study, in order to investigate $CO_2$ emission characteristics from gasoline passenger cars(PC), which is the most dominant vehicle type in Korea, 106 vehicles were tested on the chassis dynamometer. $CO_2$ emissions and fuel efficiency were measured. The emission characteristics by displacement, gross vehicle weight, vehicle speed and CVS-75/vehicle speed mode were discussed. Test modes were vehicle speed modes and CVS-75 mode that have been used to develop emission factors and to regulate for light-duty vehicle in Korea. It was found that $CO_2$ emissions showed higher large displacement, heavy gross vehicle weight, low vehicle speed and CVS-75 mode than small displacement, light gross vehicle weight, high vehicle speed and vehicle speed mode, respectively. From these results, correlation between $CO_2$ emission and fuel efficiency was also determined. The results of this study will contribute to domestic greenhouse gas emissions calculation and making the national policy for climate change.