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The Autonomous Platoon Driving System of the On Line Electric Vehicle
Youjun Choi,Daejun Kang,Sunjong Lee,Youngmin Kim 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Since the reare traffic and environment problem in the downtown center, we suggestan autonomous platoon driving system based on infra structure to solve these problem. This paper considers three parts:1) Sensing electric magnetic field on the power supply line that is installed under the road to supply power to the electric vehicle wirelessly and controling steering motor and driving motor soft he electric vehicle for the auto nomous driving. 2) Laying RFID tag sunder the power supply line and estimating the position of the electric vehicle based on it. 3) Calculating a distance between electric vehicles based on each vehicle’s position information which is acquired from the vehicle to vehicle communiation and controlling the velocity of the electric vehicle to maintain the distance between the electric vehicles. Developed the autonomous platoon driving system is set on electric vehicles and is confirmed through analytical and experimental performance evalution.
대표적인 두 가지 다단계 언어 Lisp과 MetaML간의 비교 : 단계 풀기 변환을 중심으로
최준원(Joonwon Choi),강지훈(Jeehoon Kang),박대준(Daejun Park),이광근(Kwangkeun Yi) 한국정보과학회 2012 한국정보과학회 학술발표논문집 Vol.39 No.1A
두 가지 대표적인 다단계 언어인 Lisp과 MetaML의 차이를 설명한다. 실행 의미적으로 두 언어가 어떤차이를 보이는지 설명하고, 그러한 차이가 단계 풀기 변환에서 어떻게 드러나는지 보인다. 마지막으로 두 언어의 근본적인 차이점에 대한 기원 및 각 언어의 응용에 대해 논한다.
Lee, Deuk Yong,Cho, Hun,Kang, Daejun,Kang, Jong-Ho,Lee, Myung-Hyun,Kim, Bae-Yeon,Cho, Nam-Ihn The Korean Ceramic Society 2014 한국세라믹학회지 Vol.51 No.4
Dye-sensitized solar cells (DSSCs) were synthesized using a $0.25cm^2$ area of a $TiO_2$ nanoparticle layer as the electrode and platinum (Pt) as the counter electrode. The $TiO_2$ nanoparticle layers (12 to 22 ${\mu}m$) were screen-printed on fluorine-doped tin oxide glass. Glancing angle X-ray diffraction results indicated that the $TiO_2$ layer is composed of pure anatase with no traces of rutile $TiO_2$. The Pt counter electrode and the ruthenium dye anchored $TiO_2$ electrode were then assembled. The best photovoltaic performance of DSSC, which consists of a $18{\mu}m$ thick $TiO_2$ nanoparticle layer, was observed at a short circuit current density ($J_{sc}$) of $14.68mA{\cdot}cm^{-2}$, an open circuit voltage ($V_{oc}$) of 0.72V, a fill factor (FF) of 63.0%, and an energy conversion efficiency (${\eta}$) of 6.65%. It can be concluded that the electrode thickness is attributed to the energy conversion efficiency of DSSCs.
Kim, Jakyung,Kim, Hyunho,Sohn, Young hoon,Chang, Daejun,Seo, Yutaek,Kang, Seong-Pil Elsevier 2017 Journal of petroleum science & engineering Vol.154 No.-
<P><B>Abstract</B></P> <P>Methane gas produced from marine hydrate deposits will flow together with dissociated water in two phases, and the risk of hydrate reformation must be managed. This study used the OLGA multiphase flow simulation software to simulate methane transportation with dissociated water through a vertical 2160m pipeline in order to determine the amount of monoethylene glycol (MEG) as a thermodynamic hydrate inhibitor. When the hydrate saturation ratio in hydrate deposits varies, a large amount of MEG becomes inevitable. Moreover, when undesired water breakthrough occurs, the MEG concentration would decrease to where hydrates may re-form before responding in the offshore platform. A risk management strategy for hydrate reformation is investigated by adopting under-inhibition with MEG and the addition of PVCap as a kinetic hydrate inhibitor (KHI). The experimental results in high pressure autoclave showed that PVCap exhibited a limited performance in delaying the hydrate formation in a high subcooling condition. Considering the vertical flowline of 2160m, the delay time was not sufficient to prevent the hydrate re-formation in the transport pipeline. Complete prevention of hydrate re-formation can be avoided with 35wt% MEG concentration, however decreasing the MEG concentration to 20wt% was also feasible in order to avoid hydrate formation since it was not observed for more than 960min. In the presence of 0.1wt% of PVCap and 10wt% MEG, the hydrate delay time was of about 311.5min. This delay time is 76% longer than the residence time of methane and water mixture in the transport pipeline, thus this synergistic inhibition can significantly reduce the injection rate of MEG while preventing hydrate formation. This is the first work suggesting a risk management strategy for hydrate reformation in hydrate production system, and thus will provide insights to develop advanced hydrate production technologies.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Multiphase flow simulation was performed for methane hydrate production. </LI> <LI> Hydrate reformation risk was managed by under-inhibition with MEG. </LI> <LI> Synergistic inhibition with MEG and KHI increased onset time significantly. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
승용 잔디 깎이 자율 주행을 위한 경로 생성 및 추종 제어 알고리즘 개발 및 적용
임미림(Mirim Lim),김성훈(Seonghun Kim),김황근(Hwangeun Kim),강대준(Daejun Kang) 대한기계학회 2019 대한기계학회 춘추학술대회 Vol.2019 No.11
Recently, as the demand for unmanned and IT agricultural machinery increases, the development of autonomous lawn mowers has been actively conducted. However, since the prior robotic autonomous lawn mower works randomly without working path in work space, it has low efficiency for the large work space. In addition, for the localization, other autonomous agricultural machineries mostly have adopted Differential Global Positioning System(DGPS), which is largely expensive to commercialize. In this paper, we propose the autonomous driving algorithm through localization in work space using radar sensor which is relatively inexpensive. For localization of an autonomous lawn mower, an origin in the work space is set using the range and angle data of the landmarks which are installed on both sides of the workspace. And then, the position of an autonomous lawn mower with respect to the origin is estimated using relative range and angle between a mower and a landmark. The landmarks which are used to localization are identified through assigning track ID via radar sensor data of landmarks. Base on above localization method, working path is generated and control input for path following is calculated. It also includes a landmark tracking algorithm considering possibility to change the track ID of the radar sensor data. In experiment, the proposed method shows 95.23% working speed performance and 86.07% path following error (RMSE)compared with manual driving.