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전통 목조 건축 문화재 검색 인터페이스 설계 및 구현 - 주심포 건축물을 대상으로 -
이승재(Lee, Seungjae),정다운(Jung, Da-Un),고종국(Ko, Jong Gook),이수웅(Lee, Suwoong),이용식(Lee, Yongsik),이주원(Lee, Juwon) 대한건축학회 2023 대한건축학회 학술발표대회 논문집 Vol.43 No.1
This study aims to design and implement a search interface for traditional wooden architecture, specifically for Jusimpo type architecture. The previous search interface focused on keywords and the names of architecture, resulting in disorganized photos, drawings, and descriptions. Therefore, the current interface only provides unrelated information, rather than data that can inspire analysis. In this paper, we propose a new search interface based on the relationships among buildings. Firstly, we provide search interfaces for Jusimpo type buildings by age, style, and region. Secondly, similar architecture and Gong-po can be retrieved. Thirdly, each Gong-po shows its corresponding photo and drawing. Moreover, to enhance your experience of Gong-po, 3D models and NeRF-based view synthesis are provided.
이수웅(Suwoong Lee),고종국(Jong Gook Ko),이용식(Yongsik Lee),김은정(Eun Jung Kim),장민수(Min Soo Jang),이승재(Seungjae Lee) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
본 논문은 이미지 도면으로부터 전통 목조 주심포 양식 건축물 공포를 이루는 부재를 인식하기 위한 요구사항을 고찰한다. 도면 이미지 내의 공포부재를 인식하기 위해서는 도면 이미지의 수집, 인식 부재의 정의 및 학습 데이터 구축, 평가가 필요하다. 대상 건축물로는 주심포 양식 국보 12종을 선정하고, 문화 유산 포털에 공개된 도면 이미지를 대상으로 도면을 수집하였다. 수집된 도면에 대해서 주상포와 귀포 도면의 입면도와 단면도를 인식대상으로 하였다. 부재 인식 대상은 공포를 구성하는 주요 부재인 주두, 소로, 첨차, 살미로 정의하고 이에 대한 어노테이션을 진행하였다. 총 467건의 도면 이미지를 수집하여 Yolov5를 이용으로 성능을 평가하였으며 공포의 형태 및 부재의 다양성에 따른 한계점을 고찰하였다.
Optimal Flow Rate Control for SDN-Based Naval Systems
Lee, Kyoungoh,Kwon, Beom,Kang, Jiwoo,Heo, Suwoong,Lee, Sanghoon IEEE 2017 IEEE transactions on aerospace and electronic syst Vol.53 No.6
<P>It is essential for a naval ship system (NSS) to transmit important information with very low delay for successful network-centric warfare under given time constraints. From this perspective, quality of service (QoS) control and low delay transmission are the most important components to improve efficient network utilization in NSSs. In general networks, conventional network algorithms have been optimized to manage network devices such as gateway, switch, bridge, hub, and router in a distributed manner for ease of plug-in and play operation, but which may not be optimal for the NSS. This is because, unlike the general network environment, the NSS is equipped with various nodes, which need to be operated through a centralized hierarchical network structure in accordance with their priorities. Thereby, it is difficult to apply new network algorithms to the NSS due to the closed network environment. To overcome this limitation, we propose a novel NSS employing software defined network (SDN) technology. A novel algorithm called real-time transmission via flow rate control (RTF) is proposed for the SDN-based NSS to optimize the specific environment of NSS. In the proposed algorithm, the optimal flow rates of nodes and network devices are obtained via dual decomposition in conjunction with requirements of delay and QoS. The proposed algorithm obtains the optimal solution iteratively while measuring the performance with traffic models based on real data measured in NSS. Through simulation using Floodlight, we demonstrate that RTF significantly contributes to improving throughput in real-time transmission compared with conventional algorithms. The proposed algorithm improves the average throughput by up to 11.8% while guaranteeing real-time transmission.</P>