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이형우,신대석 한국전산구조공학회 2002 한국전산구조공학회논문집 Vol.15 No.1
A method of automatic 3D tunnel modeling is proposed. The proposed method used the parametric representation of geometry and a hierarchical and relational data structure. These two bases provide the generalization and extension for 3D tunnel modeling. Especially, these two fundamentals ion the basis iota representing the characteristics of the tunnel structure for analysis. The constant-curvature characteristic is exploited to generate 3D mesh on the tunnel surface. This is attributed to the advantage that any 2D automatic mesh generation algorithm can be applied to 3D mesh modeling. 본 연구에서는 3차원 곡면의 매개변수식 기하 표현법과 계층적/관계형 자료 구조를 이용하여 3차원 터널을 자동으로 모델링할 수 있는 방안을 제시한다. 매개변수식 기하 표현법과 계층적/관계형 자료 구조의 이용은 3차원 터널 표현의 일반화와 확장성을 제공하며 해석을 위한 터널 구조의 특성을 정확하게 처리할 수 있게 한다. 그리고 터널 곡면의 곡률 특징을 이용하여 2차원 요소망 생성 알고리즘을 사용하여 3차원 요소망을 자동으로 생성할 수 있다.
갑상선암의 병기·예후 자동 계산과 수술 후 치료 및 추적 관찰법을 제시하는 프로그램의 개발
박태정,이형신,김성원,김부경,박효상,이형우,신대석,김낙영,이강대 대한이비인후과학회 2015 대한이비인후과학회지 두경부외과학 Vol.58 No.6
Background and Objectives It takes considerable time and effort to make decisions about management and follow up for the thyroid cancer. Also there are risks of incorrectness or confusion on the part of thyroid specialists. We developed a thyroid cancer calculator that does automatic thyroid cancer staging, prognosis predicting and suggesting follow-up strategies in order to reduce the burden of thyroid specialists who have to memorize a lot of guidelines and statistics, and to give consistency to the treatment plan. Materials and Method An automatic thyroid cancer calculator was developed by using a computer program called ‘Qt 5.2 version’, based on patient demographics, diagnosis, treatment, and follow-up status. This partly cited the history of prior thyroid cancer or other cancer registration, and focused on the specification of differentiated thyroid cancer. Results The program consisted of survival, recurrence and, dynamic re-stratification with follow-up. The patient registration form consisted of identification number, name and operation date, and patients needed to enter their thyroid cancer status, including clinical and pathologic information after registration. The entered information could be easily accessed in a few seconds. The program helped to update patient’s current status, promptly collect data for clinical studies of thyroid cancers and provide better patient care. This program was simple, convenient and time-saving for users as it specifically contained important thyroid cancer items. Conclusion Although this program is still in its primitive stage, the Kosin thyroid calculator reduces the workload of thyroid specialists and prevents the loss of clinical data. Furthermore, it could be a useful tool for the management and research of thyroid cancer.