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클로로포름을 사용한 전기방사법에 의한 고분자량 폴리비닐카바졸 웹의 제조 및 특성(2)
김희삼(Hee Sam Kim),김채성(Chae Sung Kim) 산업기술교육훈련학회 2014 산업기술연구논문지 (JITR) Vol.19 No.3
In this study, adapting high molecular weight PVCz and controlling three major parameters for electrospinning, we successfully prepared novel PVCz fibrous webs. SEM images showed that the structure and morphology of electrospun PVCz webs depended on processing parameters such as solution viscosity(e.g. concentration and polymer molecular weight), AV, TCD, and the type of solvent. Concentration of poly(N-vinyl carbazole) (PVCz) solution was varied from 3 to 18 wt(%). All electrospinning procedures were carried out at 25 °C room temperature. Applied voltage was ranged from 15 to 30 kV. Tip-to-collector distance(TCD) was varied from 10 to 40cm. In the cases of, using chloroform as a solvent, the fiber diameters in the range from 3.8/mi to ll.Qum were obtained by varying the solution concentration. It was found that the morphology of electrospun PVCz web was strongly correlated with viscosity. At lower solution concentration,webs containing beads and beads-ont으fibers were prepared, while, at higher one, fine and uniform fibers in webs could be formed. Average diameters of fibers in webs were decreased with increases in the applied voltage and TCD.
영상처리에서의 최적화된 계산량의 Adaptive 백터 필터링 방법
이춘매(Chunmei Li),민영재(Young-Jae Min),김규영(Kyu-Young Kim),김채성(Chae-Sung Kim),김수원(Soo-Won Kim) 대한전자공학회 2010 대한전자공학회 학술대회 Vol.2010 No.6
In this paper, a new adaptive vector filtering method with optimization of computational complexity for image processing is presented. The alternation between the DDF and the AVMF in the dependence on the order-statistics theory reduces the computational complexity. In addition, the proposed method provides excellent detection of noisy pixels and removes both chromatic and achromatic noisy pixels.
손실된 동적 영역을 고려한 개선된 가중치 맵 기반의 다중 노출 영상 합성 방법
지서원(Seo-Won Ji),강석재(Seok-Jae Kang),김승욱(Seung-Wook Kim),김채성(Chae-Sung Kim),고성제(Sung-Jea Ko) 대한전자공학회 2015 대한전자공학회 학술대회 Vol.2015 No.6
A high dynamic range (HDR) image can be synthesized by using a set of differently exposed low dynamic range (LDR) images. However, ghosting effects often appear in a scene with moving objects. In general, anti-ghosting which consists of detection and correction of moving object regions tends to eliminate image details in the moving object regions. This paper presents a new correction method to preserve image details. For each moving object region, input LDR images are classified into ghosting and non-ghosting images using K-means clustering. The non-ghosting LDR images are utilized to produce final HDR image. Experimental results show that the proposed method achieves better visual quality and detailed information in the synthesized HDR image, compared with the conventional methods.