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전기화학적 식각에 의한 다공성 실리콘 층에서의 기공 구조
정원영,김도현 ( Won Young Chung,Do Hyun Kim ) 한국화학공학회 1995 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.33 No.5
The purpose of this study is to investigate the effect of process condition on the pore size distribution in porous silicon layer prepared by electrochemical reaction. Porous silicon layers formed on p-type silicon wafer show the network structure of fine pores of which diameters are less than 100Å. Pore diameters increased up to about 1000Å by subsequent chemical etching using n-type silicon wafers.
정원영,박종수,김판기,이정희,이용석,Chung, Won-Young,Park, Jong-Su,Kim, Pan-Ki,Lee, Jung-Hee,Lee, Yong-Surk 한국통신학회 2007 韓國通信學會論文誌 Vol.32 No.2B
현재 광대역통합망(BcN: Broadband convergence Network)에 대한 연구가 계속 진행 중에 있으며, 망의 규모가 커짐에 따라 가입자에 대한 서비스 품질(QoS: Quality of Service) 관리는 더욱 중요해 지고 있다. 3계층에서 QoS를 관리하는 것은 메모리의 크기나 소비전력의 비중이 크기 때문에 2계층에서의 Qos 관리가 필요하게 되었다. 또한 BcN에서는 여러 사용자가 제한된 서비스 자원을 공유하므로 최선(Best-Effort)의 서비스를 지향하는 방식으로 발전되어 왔다. 그러나 현재는 가입자들이 최선의 서비스 보다는 비싼 요금을 내더라도 차별화 된 서비스를 요구하고 있다. 따라서 가입자를 구별할 수 있는 멀티서비스 스위치에서 각 가입자는 과금에 따라 다른 대역폭을 할당 받게 된다. 기존의 대역제한기(Rate Limiter)는 포트별로 대역을 제한하기 때문에 가입자별로 공평한 대역을 보장하기 어렵다. 하지만 본 논문에서 제안한 대역제한기는 가입자별로 대역을 제한하므로 모든 가입자가 스위치의 구조와는 상관없이 공평한 대역을 제공받게 된다. 또한 가입자는 과금에 따라 가입자별로 다른 대역폭을 할당받으며, 학습된 가입자의 수에 따라 이더넷 스위치의 상향 링크 대역폭에 맞추어 학습된 가입자의 대역폭이 같은 비율로 조정된다. 그러므로 이더넷 스위치의 최대성능을 유지하며 QoS도 효율적으로 관리해 준다. Recently, a study of BcN(Broadband convergence Network) is progressing continuously, and it is important to improve the quality of the service according to subscribers because a scale of network is about to be larger. It is more important to manage QoS(Quality of Service) of all subscribers in layer 2 than layer 3 network since managing it in layer 3 network cost both additional processes and large hardware. Moreover, QoS based on Best-Effort service has been developed because tots of subscribers should use limited resource in BcN. However, they want to be supplied with different service even though they pay more charge. Therefore, it is essential to assign the different bandwidth to subscribers depending on their level of charge. The method of current Rate Limiter limits the bandwidth of each port that does not offer fair service to subscribers. The Rate Limiter proposed in this paper limits bandwidth according to each subscriber. Therefore, subscribers can get fair service regardless of switch structure. This new Rate Limiter controls the bandwidth of subscribers according to the information of learning subscriber and manages maximum performance of Ethernet switch and QoS.
정원영(Jung, Won-Young),이규호(Lee, Kyu-Ho),정진태(Chung, Jin-Tai) 한국소음진동공학회 2011 한국소음진동공학회 논문집 Vol.21 No.8
The purpose of this study is to analyze nonlinear dynamics of a tethered satellite. The coupled non-linear equations of motion are derived by using the extended Hamilton's principle with the polar coordinate system. In order to analyze the response of tethered satellite, time responses are computed by the Newmark's time integration method. We also investigate the dynamic behavior of the system and the effects of length of tether, tip mass and conveyed fluid through the tether with time variation.
CNN 영상 회귀 기반의 산란계수 추정을 통한 연무제거
정원영(Won Young Chung),김선영(Sun Young Kim),박찬국(Chan Gook Park),강창호(Chang Ho Kang) 제어로봇시스템학회 2021 제어·로봇·시스템학회 논문지 Vol.27 No.11
The estimation of the scattering coefficient in depth image-based dehazing is of paramount importance. Since scattering coefficients are used to estimate the transmission image for dehazing, the optimal scattering coefficients for effective dehazing must be obtained depending on the level of haze and fog generation. In this study, we performed a CNN-based image regression to obtain the optimal scattering coefficients for each image with fog and haze. A three-channel image was used as the input data, and the learning was performed with approximately 2,000 labeled synthetic haze and fog datasets. Subsequently, the transmission image was estimated using the scattering coefficient obtained for the input image through the learned model, and the depth image was obtained through the LiDAR point cloud projection for performing the dehazing. This paper presents a qualitative and quantitative comparison of the results obtained using the proposed dehazing technique with those obtained using the existing dehazing algorithms.