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박상근(Sangkun Park) (사)한국CDE학회 2021 한국CDE학회 논문집 Vol.26 No.2
This paper proposes a 3D image augmentation method for improving the generalization performance of deep neural networks. It allows us to enrich the diversity of training data samples that is essential in medical image segmentation tasks, thus reducing the data overfitting problem caused by the fact the scale of medical image dataset is typically smaller. It also enables us to predict medical segmentation surfaces in Euclidean space without additional labeled datasets. This method includes image transformation functions, which are comprised of a spatial deformation and image intensity change, enabling the synthesis of complex effects such as variations in anatomy and image acquisition procedures. Our numerical experiments demonstrate that the proposed approach provides significant improvements over state-of-the-art methods for 3D medical image segmentation.
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건축물단위 방재시설의 BIM기반 스마트시티 활용방안 연구
박소현(So-Hyun Park),최림(Lim Choi),조찬원(Chan-Wom Jo) (사)한국CDE학회 2020 한국CDE학회 논문집 Vol.25 No.4
Disaster prevention facilities are structures and facilities that prepare for various disasters, suppress occurrence, or minimize damage in the event of an occurrence. In order to prepare for disasters such as floods and landslides, BIM data construction has been ongoing for large-scale facilities such as rivers and sloping dams, and maintenance procedures using them have been established to some extent. However, in case of disaster, the disaster prevention facility in the building unit has not yet been established for BIM data construction and operation management. From natural disasters caused by climate change to social disasters such as epidemics, the range and intensity of disasters that threaten modern cities is increasing. Due to this, various institutional and technical efforts are underway to define and prepare for new types of disasters and disasters. Recently, various urban plans and policies represented by ‘Smart City’ are being implemented to respond to various threats in the city. The purpose of this study is to analyze disaster prevention facilities, identify characteristics, and provide a standard for how to use BIM for each building unit disaster prevention facility type, making it easy to connect and maintain with other urban infrastructure. To this end, we intend to present a disaster prevention facility attribute system and help with data use and management.
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