지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Purpose: To solve urban problems, empirical research is being actively conducted to implement a smart city based on various ICT technologies, and digital twin technology is needed to effectively implement a smart city. A digital twin is essential for the realization of a smart city. A digital twin is a virtual environment that intuitively visualizes multidimensional data in the real world based on 3D. Digital twin is implemented on the premise of the convergence of GIS and BIM, and in particular, a lot of time is invested in data pre-processing and labeling in the data construction process. In digital twin, data quality is prioritized for consistency with reality, but there is a limit to data inspection with the naked eye. Therefore, in order to improve the required time and quality of digital twin construction, it was attempted to detect a building using Mask R-CNN, a deep learning-based masking algorithm for aerial images. If the results of this study are advanced and used to build digital twin data, it is thought that a high-quality smart city can be realized.
목차
등록된 정보가 없습니다.
참고문헌 (22)
참고문헌 신청
Su Hyun AN / 2021 / A Study on a car Insurance purchase Prediction Using Two-Class Logistic Regression and Two-Class Boosted Decision Tree / 인공지능연구 9(1):9~14
최은수 / 2020 / Applying Artificial Intelligence for Diagnostic Classification of Korean Autism Spectrum Disorder / PSYCHIATRY INVESTIGATION 17(11):1090~1095
Forsyth, D. / 2011 / Computer vision: A modern approach / Prentice hall
He, K. / 2017 / Mask r-cnn / Proceedings of the IEEE international conference on computer vision :2961~2969
In-Chul JUNG / 2021 / A Development of Nurse Scheduling Model Based on Q-Learning Algorithm / 인공지능연구 9(1):1~7
최은수 / 2020 / Applying Artificial Intelligence for Diagnostic Classification of Korean Autism Spectrum Disorder / PSYCHIATRY INVESTIGATION 17(11):1090~1095
Forsyth, D. / 2011 / Computer vision: A modern approach / Prentice hall
He, K. / 2017 / Mask r-cnn / Proceedings of the IEEE international conference on computer vision :2961~2969
In-Chul JUNG / 2021 / A Development of Nurse Scheduling Model Based on Q-Learning Algorithm / 인공지능연구 9(1):1~7
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