http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
차승윤(Cha Seung Yoon),김성락(Kim Sung Nak) 한국정보처리학회 1998 정보처리학회논문지 Vol.5 No.2
This paper proposes a method for pattern recognition using spectrum analyzer and Backpropagation. Contour sequences obtained from 2-D images represent the Euclidean distance between the centroid and all boundary pixels of the shape, and are related to the overall shape of images. The Fast Fourier transform of contour sequence and spectrum analyzer are used as a means of feature selection and data reduction. The there dimensional spectral feature vectors are extracted by spectrum anayzer from the energy spectrum. These Spectral feature vectors are invariant to shape translation, rotation, and scale transformations The Backpropagation neural network which is combined with one hidden layer module is trained and tested with these spectral feature vectors. The experiments including 4 automobiles recognition process are presented to illustrate the high performance of this proposed method in the recognition problems of noisy shapes.
김혜인,권예은,백승윤,황재영,손석우,박향숙,차은정,Hyein Kim,Yeeun Kwon,Seung-Yoon Back,Jaeyoung Hwang,Seok-Woo Son,HyangSuk Park,Eun-Jeong Cha 한국기상학회 2024 대기 Vol.34 No.2
Atmospheric rivers (ARs) are closely related to local precipitation which can be both beneficial and destructive. Although several studies have evaluated their predictability, there is a lack of studies on East Asian ARs. This study evaluates the prediction skill of East Asian ARs in the Korean Integrated Model (KIM) for 2020~2022 summer. The spatial distribution of AR frequency in KIM is qualitatively similar to the observation but overestimated. In particular, the model errors greatly increase along the boundary of the western North Pacific subtropical high as the forecast lead time increases. When the prediction skills are quantitatively verified by computing the Anomaly Correlation Coefficient and Mean Square Skill Score, the useful prediction skill of daily AR around the Korean Peninsula is found up to 5 days. Such prediction limit is primarily set by the wind field errors with a minor contribution of moisture distribution errors. This result suggests that the improved prediction of atmospheric circulation field can improve the prediction of East Asian summer ARs and the associated precipitation.