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- 저자 : 김소명(So-Myung Kim) (검색결과 2 건)
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김소명(So-Myung Kim),주진형(Jin Hyeong Jhoo),변기환(Gihwan Byeon),정승민(Seungmin Jeong),김연미(Yeon Mi Kim),이강욱(KangUk Lee) 대한신경정신의학회 2021 신경정신의학 Vol.60 No.4
Objectives To assess the satisfaction of dementia patients with telemedicine services. Underlying factors were extracted from a satisfaction dataset, and possible associations among factors were investigated to determine their statistical relevances. Methods A survey was conducted using a questionnaire to determine satisfaction with telemedicine services of patients with dementia in 9 public health centers and 5 designated hospitals in 8 provinces in Gangwon-do from 20 July 2020 to 31 October 2020. Four hundred and ninety-seven users responded to the survey. Factor analysis was performed on survey data and multiple linear regression was used to extract relevant factors. Results The percentage of subjects satisfied with telemedicine services was 78.8%. Thirty-five items of the satisfaction survey indicated that the five factors, that is, necessity (Cronbach’s α 0.952), satisfaction (Cronbach’s α 0.929), medical system reliability (Cronbach’s α 0.924), medical staff reliability (Cronbach’s α 0.924), and geographic vulnerability (Cronbach’s α 0.922), were related to satisfaction with telemedicine services, and that of these, geographic vulnerability was most associated with the need for telemedicine services. Conclusion This study shows that dementia patients with experience of telemedicine services were generally satisfied with treatment. Despite its limitations, the satisfaction survey was found to provide a reliable and valid scale for assessing user satisfaction.
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김소명,최영우 숙명여자대학교 자연과학연구소 2000 자연과학논문집 Vol.- No.11
본 논문에서는 효율적인 비디오 자막 이미지의 추출 및 이미지 향상을 위해서 동일한 자막 프레임들을 판단하여 다중 결합(Multiple-frama Integration)하는 방법을 제안한다. 먼저 입력된 칼라 이미지로부터 RLS(Run-Length Smearing)가 적용된 에지 이미지를 얻고, 수직 및 수평 에지 히스토그램 분포를 분석하여 자막 영역에 대한 정보를 저장한다. 프레임 내의 자막 영역의 중첩 정도를 이용하여 동일 자막을 판단하여 그룹화하고, 그룹 내 프레임들 간의 다중 결합을 수행함으로써 향상된 이미지를 얻는다. 끝으로 결합된 이미지에 대한 평가를 수행하여 잘못 결합된 이미지들로 인한 오류를 해결한다 제안한 방법을 통해서 배경으로 인한 잡영이 제거된 자막 이미지를 추출할 수 있었다. 또한, 동일한 자막의 시작 프레임과 끝 프레임의 위치 파악은 디지털 비디오의 색인 및 검색에 효과적으로 이용될 수 있을 것이다. This paper propose a new method for extracting video caption areas and their image enhancements by finding multiple frames with the same caption contents and by integrating those frames. First, we transform an input color image into a gray-level image, and obtain RLS(Run-Length Smeared) edge image horizontally and vertically. Then the caption frames and caption areas are decided by analyzing horizontal and vertical histogram distributions. The caption frames are compared each other by measuring similarity between two comparing frames to decide whether they contain the same caption contents or not. The multiple frames with the same caption contents are logically ANDed to remove background noises in the image. During this process an evaluation is performed for detecting the integrated results with different caption contents. Our proposed method can remorse most of the background noises. Also, we expect the detection results of finding the beginning and ending locations of the frames with the same caption contents are effectively used for digital video indexing and browsing.
KCI
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