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강상구 ( Kang¸ Sanggoo ),최민우 ( Choi¸ Min-woo ) 한국구조물진단유지관리공학회 2023 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.27 No.2
센서의 혼은 수신기에서 파동 초점 및 증폭의 효을성을 극대화하기 위하여 설계된다. 압전 소자를 이용한 초음파 거리 센서는 소자에 수직방향 음압에 더 높은 민감도를 보이기 때문에 혼 설계 시 효율을 계산하는 것이 중요하다. 혼에서 반사된 평면파 에너지가 압전 디스크에 집중될 때 포물선 혼의 경우 디스크로의 입사각이 달라진다. 따라서 압전 디스크와 혼 표면의 반사파 사이의 각도에 따른 파동 분해가 유효하여야 한다. 따라서 본 연구의 목적은 유한요소 시뮬레이션을 수행하여 파동 분해 이론을 증명하는 것이다.
역학적 파동을 이용한 콘크리트 내부 수직균열 탐사 시스템
강상구(Kang Sanggoo),최열(Choi, Yeol),김일헌(Kim, Il-Heon) 대한건축학회 2022 대한건축학회 학술발표대회 논문집 Vol.42 No.2
Since the conventional concrete crack inspection methods have the challenge to detect subsurface cracks which are invisible internal crack. The crack evaluation method using mechanical wave propagation in concrete is one of the promising techniques to detect and evaluate the concrete crack on both surface opening and subsurface. The method proposed in this paper is built on the detection of mechanical wave propagation for detecting the crack and relative crack damage of fiber reinforced concrete pipe by using the auto-impacting system and airborne sensor. The test results describe the proposed inspection system allowing to detect cracks by calculating wave propagation energy decrease caused by the cracks.
Cloud-based Satellite Image Processing Service by Open Source Stack: A KARI Case
Lee, Kiwon,Kang, Sanggoo,Kim, Kwangseob,Chae, Tae-Byeong The Korean Society of Remote Sensing 2017 大韓遠隔探査學會誌 Vol.33 No.4
In recent, cloud computing paradigm and open source as a huge trend in the Information Communication Technology (ICT) are widely applied, being closely interrelated to each other in the various applications. The integrated services by both technologies is generally regarded as one of a prospective web-based business models impacting the concerned industries. In spite of progressing those technologies, there are a few application cases in the geo-based application domains. The purpose of this study is to develop a cloud-based service system for satellite image processing based on the pure and full open source. On the OpenStack, cloud computing open source, virtual servers for system management by open source stack and image processing functionalities provided by OTB have been built or constructed. In this stage, practical image processing functions for KOMPSAT within this service system are thresholding segmentation, pan-sharpening with multi-resolution image sets, change detection with paired image sets. This is the first case in which a government-supporting space science institution provides cloud-based services for satellite image processing functionalities based on pure open source stack. It is expected that this implemented system can expand with further image processing algorithms using public and open data sets.
Cloud-based Satellite Image Processing Service by Open Source Stack: A KARI Case
( Kiwon Lee ),( Sanggoo Kang ),( Kwangseob Kim ),( Tae-byeong Chae ) 대한원격탐사학회 2017 大韓遠隔探査學會誌 Vol.33 No.4
In recent, cloud computing paradigm and open source as a huge trend in the Information Communication Technology (ICT) are widely applied, being closely interrelated to each other in the various applications. The integrated services by both technologies is generally regarded as one of a prospective webbased business models impacting the concerned industries. In spite of progressing those technologies, there are a few application cases in the geo-based application domains. The purpose of this study is to develop a cloud-based service system for satellite image processing based on the pure and full open source. On the OpenStack, cloud computing open source, virtual servers for system management by open source stack and image processing functionalities provided by OTB have been built or constructed. In this stage, practical image processing functions for KOMPSAT within this service system are thresholding segmentation, pan-sharpening with multi-resolution image sets, change detection with paired image sets. This is the first case in which a government-supporting space science institution provides cloud-based services for satellite image processing functionalities based on pure open source stack. It is expected that this implemented system can expand with further image processing algorithms using public and open data sets.
오픈소스 모바일 클라우드 서비스: R 기반 공간영상정보 필터링 사례
강상구,이기원,Kang, Sanggoo,Lee, Kiwon 한국공간정보학회 2014 한국공간정보학회지 Vol.22 No.5
정보통신기술(ICT: Information Communication Technology) 분야의 시장을 주도하는 모바일, 클라우드 컴퓨팅, 빅데이터 등과 같은 트렌드 기술들은 공간정보 분야를 포함한 대부분의 응용분야에 지대한 영향을 미치고 있다. 이중에서 클라우드 컴퓨팅은 비록 우리나라에서는 초기 적용단계 수준이지만 다른 트렌드 기술들 간의 연계를 위한 플랫폼 역할을 담당한다. 특히 모바일과 클라우드 컴퓨팅이 결합된 형태인 모바일 클라우드는 모바일 단말 환경의 제한점들을 보완하고 기존의 모바일 앱에 비하여 더 많은 정보처리기능의 제공이 가능하다는 점에서 주목을 받고 있다. 이번 연구에서는 모바일 클라우드 환경을 OpenStack 및 다양한 오픈소스를 활용하여 구축하고, 이를 플랫폼으로 하여 공간영상정보 필터링 기능을 수행하는 시스템을 시험적으로 설계 및 구현하였다. 한편 공간영상정보 처리는 빅데이터 분석기술로 각광받고 있는 R 환경을 적용하여 필터링 처리를 수행하였다. 이러한 시도는 향후 R을 활용한 공간영상정보 분석서비스 개발과 다양한 공간정보와 연계되는 새로운 서비스 모델 개발에 적용될 것으로 기대한다. Globally, mobile, cloud computing or big data are the recent marketable key terms. These trend technologies or paradigm in the ICT (Information Communication Technology) fields exert large influence on the most application fields including geo-spatial applications. Among them, cloud computing, though the early stage in Korea now, plays a important role as a platform for other trend technologies uses. Especially, mobile cloud, an integrated platform with mobile device and cloud computing can be considered as a good solution to overcome well known limitations of mobile applications and to provide more information processing functionalities to mobile users. This work is a case study to design and implement the mobile application system for geo-spatial image filtering processing operated on mobile cloud platform built using OpenStack and various open sources. Filtering processing is carried out using R environment, recently being recognized as one of big data analysis technologies. This approach is expected to be an element linking geo-spatial information for new service model development and the geo-spatial analysis service development using R.