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황상준(Sangjun Hwang),노재춘(Jaechun No) 한국정보과학회 2005 한국정보과학회 학술발표논문집 Vol.32 No.1
과학 분야의 발전에 따라 처리해야 하는 데이터의 양도 급격하게 증가하여 기가바이트, 테라바이트 혹은 페타바이트 이상이 되었다. 이렇게 큰 단위의 데이터를 로컬영역에서 처리하기에는 무리가 있다. 본 논문에서는 테라바이트 혹은 페타 바이트 이상의 데이터를 처리하고 관리하는 방안과 데이터의 사용방법에 대해서 논의 하겠다.
노후 건축물의 유지관리 전략 도출을 위한 영향요인 분류체계에 대한 연구
황상준(SangJun Hwang),김별(Byeol Kim),안용한(YongHan Ahn),이주성(JooSung Lee) (사)한국CDE학회 2022 한국CDE학회 논문집 Vol.27 No.4
Although the number of old buildings in korea is continuously increasing, the laws and systems to manage them are insufficient. While they are managed by various laws depending on the type and size of the building, there are also buildings that are neglected because they are not included in the management target. In addition, management registers provided for building maintenance are difficult for owners and managers to utilize. Therefore, this study intends to present a strategy for the voluntary and continuous building maintenance and management of building owners and managers. The key management items were derived through an analysis of the existing building maintenance record system and interviews with experts in related fields. Based on this, management registers for building maintenance and history management records were developed. The owners and managers can receive new information about the building by using the developed management registers.
김종훈(Jonghoon Kim),윤종현(JongHyeon Yoon),황상준(SangJun Hwang),신현규(HyenKyu Shin),이상효(Sanghyo Lee) (사)한국CDE학회 2022 한국CDE학회 논문집 Vol.27 No.4
Recently, the growth rate of old facilities in Korea is expected to reach 20% in 2025 and 74.2% in 2040, and social issues and efficiency issues of inspection methods are emerging due to the increase in old facilities. Accordingly, research to find a solution is being actively conducted in the country and research organizations, and research on damage detection and evaluation of facilities using drone-based inspection methods or digital image analysis technology is being actively conducted for maintenance and safety inspection. However, most damage assessment studies using existing digital image analysis technology are not appropriate for inspection drone-based facilities to increase the efficiency of existing inspection methods using a method of maintaining a fixed distance and acquiring data. Therefore, in this study, we present a method for calculating the distance from the damaged object based on GPS of the image acquired through the drone so that the efficiency of the existing inspection method can be improved and damage evaluation can be carried out based on the image acquired by the drone.