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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.
BIM 표준프레임워크 기반의 건축 표준상세도면 구축방안
권순호(Soon-Ho Kwon),이운재(Woon-Jae Lee),조찬원(Chan Won Jo) (사)한국CDE학회 2013 한국CDE학회 논문집 Vol.18 No.2
In the situation where there should be a gap between the design environments of 2D drawing and 3D BIM modeling, it is unavoidable aspect to face confusion caused by parallel usage of both technologies unless the project delivery systems are entirely upgraded to 3D. Therefore, it is critical to make efforts to minimize this confusion. Meanwhile, detailed drawings have very important roles in the construction process because they do not only concretely express construction methods for a given design plan but also provide basis for quantity takeoff and construction cost estimation etc. This paper suggests a plan to standardize detailed information based on BIM standard framework in order to make BIM realize the information. In the short term, this plan provides improved environment where both BIM and CAD technologies can be applied and, in the long term, it provides bases for BIM to replace CAD technology.