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Image Dehazing using Conditional Context-aware Generative Adversarial Network
Md Foysal Haque(포이살 하크),Hye-Youn Lim(임혜연),Dae-Seong Kang(강대성) 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.11
기후 변화 인해 흐리고 흐린 날씨가 자주 일어나기 때문에 시야가 좁아진다. 최근 이미지 디헤이징을 위한 딥러닝 접근법의 개발에서, 이 작업은 컴퓨터 비전에서 좋지않은 성능으로 도전적인 문제로 여전히 간주된다. 본 논문에서 제안된 비지도 딥 러닝 모델인 이미지 디헤이징의 성능을 향상시킨다. 제안된 모델은 이미지 디헤이징 작업을 강화하기 위해 조건부 상황 인식 생성적 적대 네트워크를 통한 비지도 학습 방법을 채택했다. 이 모델은 희미해진 데이터와 원래의 희미하지 않은 훈련 데이터 사이의 상황 차이를 기반으로 희미함을 제거하는 방법을 학습한다. 또한 제안된 모델은 이미지의 사실적인 텍스처 정보를 생성하고 복잡한 흐릿한 이미지에 대한 시각적 대비를 향상시키기 위해 성공적인 정확도를 달성했다. Due to climate change, cloudy and hazy weather frequently occurs; therefore, this weather condition reduces visibility. In the recent development of deep learning approaches for image dehazing, the task remains considered an ill-posed and challenging problem in computer vision. Enhance the performance of image dehazing, an unsupervised deep learning model proposed in this paper. The proposed model adopted the unsupervised learning strategy with Conditional Context-aware Generative Adversarial Network to enhance the image dehazing task. The model learns to remove the haze based on the context difference between the dehazed and original haze-free training data. In addition, the proposed model achieved successive accuracy to generate realistic texture information of the image and enhance visual contrast for the complex hazy image.
요양보호사의 구강건강관리실태 및 구강건강관리교육 요구도 조사
김희경,김경미,김선일,김은주,남궁은정,배수명,손정희,신보미,신선정,엄미란,이민선,이혜린,최용금,최진선,류다영 대한치과위생학회 2019 대한치위생과학회지 Vol.2 No.2
Introduction: This study intended to identify the current oral health care status and demand of care workers for oral health education. Methods: A survey was distributed to care workers working in 11 nursing homes for older people located in the Chungcheongdo Province. Of those distributed, 217 questionnaires were collected and analyzed. To analyze the collected data, a frequency analysis, t-test, and one-way analysis of variance(ANOVA) were performed using SPSS version 18.0. Results: The demand for an educational course on the ‘Management of Oral Health Care for the Aged People’ had a score of 4.22 points(full marks were 5.0 points), whereas the score for the necessity for control of oral health was 4.29 points. The control of oral health for the aged people suffering dysphagia scored 4.27 points, whereas the control of oral health for older people who have dementia was 4.27 points. The score for a course on the nutritional control for aged people having difficulties in masticating foods was 4.27. Conclusion: It is clear that the development of educational courses and standardized manuals for care workers on aspects of oral health care is necessary. Therefore, it would be desirable to develop institutional infrastructure for dental hygienists to educate care workers on oral health.