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鄭俊鉉,白永欽,金泰燕,孫光濟 대구대학교 과학기술연구소 1994 科學技術硏究 Vol.1 No.-
The purpose of this study is to identify the perception and attitudes of living norm(taboo) from tradition in the home, taking socio demographic factors into account. An instrument, based on previous research, was administered to 450 college students. Data are chi-square analyzed and frequencies and percentages are computed, using SAS program. Findings indicate that sex and academic major of students were significant factors in explaining the perceptual level of living abstention at home. For, the attitudes toward living abstention, academic major, family type, perceptual level were significant, while sex and religion were not significant factors. Similarities and differences between groups are discussed, and implications are provided.
CNN 기반 잡음 제거: layer 크기에 따른 커널 복원
안준현(Junhyun Ahn),백종덕(Jongduck Baek) 대한전자공학회 2019 대한전자공학회 학술대회 Vol.2019 No.11
CNN (Convolutional Neural Network) is one of the deep learning techniques for analyzing images and images. In this paper, we analyze the denoising performance of CNN with respect to the layer size for quarter dose XCAT images. The results shows that there are suitable layer size for denoising images. In addition, reconstructed images with error function MSE and VGG16 decrease high frequency level. Also using bif convolution layer can make lines along the boundary.