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GAN 기반 공간 적응적 비 정규화를 통한 단일 영상 초해상도 복원
윤종수(Jongsu Yoon),김태현(Taehyeon Kim),최윤식(Yoonsik Choe) 대한전기학회 2021 전기학회논문지 Vol.70 No.2
Despite recent advances in technologies on single image super-resolution using deep neural networks, the key question still remains how to recover finer textures and edges. To solve this super-resolution problem, many recent researches have been using conditional generative adversarial network. However, restoring high resolution images using conditional generative adversarial network is disadvantageous in expressing fine textures and edges because there occurs the loss of spatial and high frequency informations. In this paper, informations on images in different scales are added hierarchically by using a spatially adaptive de-normalization method. This method can restore fine textures and edges of an image by inserting different scale informations for each layers in pyramid structure. In experimental results, the efficiency of the proposed method is proved by showing better performance to restore textures and edges in high quality, comparing with other state-of-the art techniques.
송전선로 직렬 보상시스템(TCSC) 전력 계통 도입 연구 현황
윤종수(Yoon Jongsu) 대한전기학회 2020 전기의 세계 Vol.69 No.6
국내최초의 직렬형 FACTS 설비인 TCSC시스템의 한전 계통 적용과 이에 따른 기술적 이슈인 주변 계통 보호 기준 정립, 계통 적용 효과 검증, 발전기와의 저주파 공진 억제 제어 검증 등 관련 연구수행 내역을 기술함 TCSC (Tyristor Controlled Series Capacitor) is a serial FACTS (Flexible AC Transmission System) device consisting of a series of capacitors and TCR (thyristor controlled reactors) in the power transmission line. TCSC is the very effective system for controlling power flow in the lines and stabilizing the power system because it can control the impedance of the transmission lines where the TCSC is installed. It will be installed at 345 kV Shin Jecheon and Shin Youngju substation for the first time in Korea in March 2020. Particularly, they would play a big role of stabilizing the power system in case of nearby 765 kV line fault. For this, KEPRI developed the appropriate protection scheme for the TCSC compensated power system and verified their control effect on the power system.
컨볼루션 희소 코딩을 사용한 Retinex 기반 반사율 분해
윤종수(Jongsu Yoon),최윤식(Yoonsik Choe) 대한전기학회 2020 전기학회논문지 Vol.69 No.3
Color constancy is a feature of the human visual system, which detects the relative inconsistency of the perceived color of an object so that the perceived color may not be changed under various illumination conditions, even when the conditions for observing color are changed. Thus, the Retinex theory was designed in consideration of this color constancy. The physics based Retinex algorithms have been popularly used to effectively decompose the illumination and reflectance of the object. However, if there are many detail areas in the image or the illumination changes rapidly, the illumination and reflectance may not be decomposed properly, because of the violation of the smoothness constraint on illumination. In this paper, we use the convolutional sparse coding model to represent the reflectance in more detail. This allows the reflectance component to provide improved visual quality over conventional methods, as shown in experimental results. Consequently, we can decompose Retinex based illumination and reflectance more precisely, then, reduce the perception gap between humans and machines.