• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.515-523
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• 2021

An integrated underground spatial map consists of underground facilities, underground structures, and ground information, and is periodically updated. In this paper, we design and implement a system for detecting and extracting only changed ground objects to shorten the map update speed. To find the changed objects, all the objects are compared, which are included in the newly input map and the reference map in the integrated map. Since the entire process of comparing objects and generating results is classified by function, the implemented system is composed of several modules such as object comparer, changed object detector, history data manager, changed object extractor, changed type classifier, and changed object saver. We use two metrics: detection rate and extraction rate, to evaluate the performance of the system. As a result of applying the system to boreholes, ground wells, soil layers, and rock floors in Pyeongtaek, 100% of inserted, deleted, and updated objects in each layer are detected. In addition, it provides the advantage of ensuring the up-to-dateness of the reference map by downloading it whenever maps are compared. In the future, additional research is needed to confirm the stability and effectiveness of the developed system using various data to apply it to the field.

• 한국지구물리탐사학회:학술대회논문집
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• 2004.06a
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• pp.88-93
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• 2004

본 논문에서는 현장에서 획득한 2차원 탄성파 탐사 자료를 처리하는 시스템을 제안한다. 일반적으로 탐사 자료는 매우 방대하여 효율적인 자료 처리 및 관리 시스템은 필수적이라고 할 수 있다. 본 논문에서는 모듈의 처리 과정에서 QC(Quality of Control)를 쉽게 하기 위해 윈도우 기반 GUI 환경을 제공할 뿐만 아니라, 모듈의 처리 흐름과 파라미터를 저장할 수 있는 템플릿 개념을 소개한다. 또한 객체 지향 개념을 도입하여 모듈들의 삽입, 삭제가 용이한 장점을 가지고 있다. 개발 환경은 MFC를 바탕으로 Windows 운영체제에서 개발되었다. 본 논문에서 개발된 시스템은 탄성파를 이용한 지반 조사에 효율적으로 사용될 수 있다고 사료된다.

• Journal of the Korean GEO-environmental Society
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• v.15 no.6
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• pp.57-65
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• 2014

Recently, Construction business is changing from on the ground to underground space because of deficit of developing space, creation of green space and of incremental of land compensation expenses. Meanwhile, 3D Topographic, Marine and Cadastral maps need to have Spatial Interrelation. Also, understanding of the information is also needed. Spatial information object registration system is impossible to contact and understanding intelligence mutually because the former one is managed as automatic ID system. Therefore, 3D Object information ID System of underground space is managed based on Object Identifier. Construction of Spatial information integration ID System is required and it will offer Division Code (Ground, Index, Underground) and depth information. We are defined and classified Under Spatial Information in this paper. Moreover, we developed the integration ID System based on UFID for cadastral information Construction. We supposed underground spatial information DB Construction and a developed the way of exploiting 3D cadastral information system through the study. The research result will be the base data of Standard ID system, DB Construction and system Development of National spatial data which is considered together with spatial interrelation.

• Journal of The Korean Digital Architecture Interior Association
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• v.1 no.1
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• pp.46-50
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• 2001

It is known that to automate the quantity take-off process enables you to increase the productivity best among the construction business field. However, the limitation of 2D(Two-dimension) CAD System prevented a cost-estimating system which makes the great effects on the quantity take-off process from being developed. This study aims that you can automate both the itemized statements and the quantity take-off process by using commercially available object-oriented CAD system. The commercially available CAD system today does not give us entire satisfaction. This study shows the deduction of the old boundaries of the object-oriented CAD system and the solution of those problems. And it also studied about the quantity take-off process and the automated cost-estimating system that can be used in the simple and plain repair-maintenance work such as the execution drawing which doesn't need the complicated drawings.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.69-71
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• 2023

본 논문은 YOLO 기반 모델의 철도 시스템 내 선로 고정장치 탐지 성능을 비교하고 분석한다. 여기서 철도 시스템은 열차가 주행하기 위한 선로, 침목, 패스너 등의 구성요소를 포함한다. 침목은 지반과 직접적으로 연결되며, 선로를 지반 위에 안정적으로 지지하고 궤간을 정확하게 유지하는 역할을 한다. 또한, 패스너는 선로를 침목에 단단히 고정시키는 역할을 한다. 이러한 선로 고정장치의 부재는 인명 사고로 이어질 수 있어 지속적인 관리와 유지 보수가 필수적이다. 본 논문에서는 철도 시스템의 선로 고정장치 탐지를 위해 YOLO V5 및 V8 딥러닝 모델의 적용 가능성을 실험적으로 접근하며, 두 모델의 탐지 성능을 비교한다. 실험 결과, YOLO V8 및 V5 모델은 모두 뛰어난 성능을 보이는데, 특히 YOLO V8 모델이 더욱 우수한 성능을 보인다. 이로써 YOLO 알고리즘은 선로 고정장치 탐지에 적합하다는 것을 증명한다. 그러나 일부 False Positive Sample이 관측되었음을 확인하고, 이로부터 모델 성능의 개선이 필요하다는 결론을 도출하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.553-559
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• 2020

In order to prevent subsidence in urban areas, which is a major cause of damage to aging underground facilities, an integrated underground space map is being produced for systematic management of underground facilities. However, there is a problem of delaying the update time because an unupdated underground facility object is included in the process of updating the underground space integrated map. In this paper, we proposed a method to shorten the update time of the integrated map by selecting only the updated objects required for the update process of the underground space integrated map based on the central point of the underground facilities. Through the comparison of the centroid, the number of search targets is greatly reduced to shorten the search speed, and the distance of the actual location values between the two objects is calculated whether or not the objects are the same. The proposed method shows faster performance as the number of data increases, and the updated object can be reflected in the underground space integrated map about four times faster than the existing method.

• Journal of the Korean Geotechnical Society
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• v.37 no.11
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• pp.107-118
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• 2021

Scan-to-BIM can be precisely mod eled by measuring structures with Light Detection And Ranging (LiDAR) and build ing a 3D BIM (Building Information Modeling) model based on it, but has a limitation in that it consumes a lot of manpower, time, and cost. To overcome these limitations, studies are being conducted to perform semantic segmentation of 3D point cloud data applying deep learning algorithms, but studies on how segmentation result changes depending on learning data are insufficient. In this study, a parametric study was conducted to determine how the size and track type of railroad tunnels constituting learning data affect the semantic segmentation of railroad tunnels through deep learning. As a result of the parametric study, the similar size of the tunnels used for learning and testing, the higher segmentation accuracy, and the better results when learning through a double-track tunnel than a single-line tunnel. In addition, when the training data is composed of two or more tunnels, overall accuracy (OA) and mean intersection over union (MIoU) increased by 10% to 50%, it has been confirmed that various configurations of learning data can contribute to efficient learning.

• Information and Communications Magazine
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• v.18 no.10
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• pp.75-87
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• 2001

방송 서비스는 이제 디지털 시대를 맞이하여 일대 패러다임의 변화를 겪고 있다. 전 세계는 본격적인 디지털 방송 시대를 맞이하고 있으며, 새로운 반송 환경에서는 기존의 서비스와는 비교할 수 없을 정도로 향상된 품질의 오디오비쥬얼 데이터를 제공할 뿐만 아니라, 시청자의 요구에 적절히 대응하는 대화형 멀티미디어 방송 서비스 제공이 가능해 진다. 이러한 방송 분야의 눈부신 발전에는 국제 표준화 기구인 ISO/IEC 산하의 동영상 전문가 그룹인 MPEG의 표준기술 개발이 큰 원동력이 되고 있다. 본 고에서는 대화형 방송의 개념과 기술을 중심으로 현재 진행되고 있는 방송 기술의 변화를 살펴보고, 객체 지반의 데이터 압축, 처리, 전송을 가능하게 하는 MPEG-4 및 내용 기반 검색 및 필터링을 가능하게 하는 MPEG-7 기술의 개념 및 방송 서비스 적용에 대해 검토해보기로 한다.

• Tunnel and Underground Space
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• v.29 no.6
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• pp.508-522
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• 2019

Because of the slope failure, not only property damage but also human damage can occur, slope stability analysis should be conducted to predict and reinforce of the slope. This paper, defines the ground areas that can be characterized in terms of slope failure such as Rockmass jointset, Rockmass fault, Soil, Leakage water and Crush zone in sloped images. As a result, it was shown that the deep learning instance segmentation network can be used to recognize and automatically segment the precise shape of the ground region with different characteristics shown in the image. It showed the possibility of supporting the slope mapping work and automatically calculating the ground characteristics information of slopes necessary for decision making such as slope reinforcement.

• Journal of the Korean GEO-environmental Society
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• v.15 no.3
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• pp.57-63
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• 2014

This study has been conducted to building a library intended for structures considered in the design of reclamation for design automation and developing browser for integrated management system. The library has been developed using a parametric modeling method capable of changing section shape, also classifying standard crossing and family library, has been developed according to the working environment. Classified library by the characteristics manages objects and working modeling on based BIM has been developed browser using the C# program for objects to use conveniently. By interworking between developed Browser and 3D Autocad based BIM, it is possible to use easily at design drafting, calculating quantities, developing a new library, and managing a library. The browser using effectively exclusive library to reclamation is developed in this study.