• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.304-310
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• 2020

The technology in 3D modelling have advanced not only maps, heritages, constructions but also trees modelling. By laser scanning(Faro s350) and photogrammetry software(Pix4d) for 3D modelling, this study compared with real coniferous tree and both technology's results about characteristics of shape, texture, and dimensions. As a result, both technologies all showed high reproducibility. The scanning technique showed very good results in the reproduction about bark and leaves. Comparing the detailed dimensions on it, the error between the actual tree and modelling with scanning was 1.7~2.2%, and the scanning result was larger than the actual tree. The error between the actual tree and photogrammetry was only 0.2~0.5%, which was larger than the actual tree. On the other hand, the dark areas's modelling was not fully processed. This study is meaningful as a basic research that can be used for tree DB on BIM for the landscape architecture, landscape design and analysis with AR technology, historical tree and heritage also.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.411-416
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• 2020

Field investigations of forests are carried out by writing measured data by hand, and it is a hassle to reorganize the results after a field survey. In this study, a method using object modeling and augmented reality (AR) was applied in a test forest to increase the efficiency of a field investigations. Using a 3D laser scanner, data on were acquired 387 trees within an area of 1 ha at the study site. The coordinates, height, and diameter were calculated through object extraction and modeling of a tree. The proposed can reduce the time required to acquire data in the field and can be used as basic data for building related systems. In addition, the modeling results of trees and a survey using GNSS and AR techniques can be used check coordinates, labor, and attribute information, such as the chest height diameter of the trees being surveyed in the field. The shortcomings of the survey method could be improved. In the future, the method could greatly improve the efficiency of tree surveys and monitoring by reducing the manpower and time required for field surveys.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05b
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• pp.610-615
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• 1996

PSA 모델링 및 데이타 관리를 효과적으로 수행하고 PSA 정량화를 자동화할 수 있도록 PSA workstation 을 개발하고 있다. Windows용 고장수목 및 사건수목 편집기, 데이타 관리 모듈 개발등의 PSA모델링 및 관리 모듈이 개발되었고, 또한 최소단절집합 생성 방법 개선, 규칙기반 회복조치 분석 및 고장수목 순환논리 분석 방법 개발등을 통한 PSA 정량화 방법의 개선이 이루어졌다. PSA workstation은 PSA 응용 소프트웨어 개발의 기초로도 사용될 수 있다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1997.11a
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• pp.179-184
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• 1997

지금까지 수행되었던 원자력발전소의 확률론적 안전성 평가 (Probabilistic Safety Assessment; PSA) 결과, 노심손상 빈도의 30% - 70%가 인간행위와 관련이 있는 것으로 밝혀져 PSA에서 인간행위를 적절히 다루는 것은 매우 중요하다. 특히 원자력발전소의 정지운전인 경우에는 자동으로 작동하는 계통이 거의 없어 고장수목(fault tree)과 사건수목(event tree)의 모델링에 많은 운전인 행위가 포함되기 때문에 노심손상 빈도와 관련이 있는 인간행위는 전출력 운전(full power operation)에 대한 PSA 결과의 경우보다 많은 것으로 나타났다. PSA에서 인간신뢰도분석(human reliability analysis)은 PSA의 논리구조인 고장수목과 사건수목에 모델링될 인간행위를 파악하고 정량화하는 것이다. 현재 인간신뢰도분석은 인간행위에 대한 데이타의 부족과 인간행위 자체의 다변성(variability)으로 인해 분석에 어려움이 있고 분석자의 주관성이 개입될 여지가 많은 실정이며, 이에 따라 분석 결과에는 많은 불확실성을 내포하게 된다. (중략)

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.131-134
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• 2006

LiDAR(Light Detection And Ranging) 데이터 처리에 있어서 건물, 자동차, 수목 등의 비지면 객체와 지면을 분류하는 필터링 과정은 DEM(Digital Elevation Model) 구축을 위해서 중요하다. 도심지역의 건물추출 등의 필터링에 관한 연구는 활발히 진행되고 있으나 국내의 경우 수목에 대한 필터링은 비교적 연구가 미흡하였다. 따라서 이 연구에서는 기존에 다루어진 몇 가지 알고리즘을 분석하고 산림지역에 활용해 봄으로써 각 필터링에 관한 장단점을 비교하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.87-90
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• 2012

원자력발전소에 사용되는 모든 시스템은 IEEE에서 최고 수준의 안전도인 CLASS 1E로 분류된다. 그중에서 안전계통은 원자력발전소 안전에 관련한 모든 분야를 관리하는 계통이다. 산업이 발전함에 따라 안전계통 또한 그 규모와 복잡성이 높아지고 있고, 이에 적용되는 요구사항 또한 엄격해지고 있다. 따라서 발전소에 적용되는 안전 동작에 대한 기준을 결정하기 위해서 철저한 오류 예측분석이 수행 되어야 한다. 그 중에서도 NUREG-0492로 규정되어 있는 결함수목분석(Fault Tree Analysis)은 연역적 오류 예측 분석방법으로 원자력 발전소, 우주 산업 등에 관련된 분야는 본 방법을 통하여 오류 예측 분석이 이루어 져야한다. 본 논문에서 원전안전계통을 관리하는 구현 모델인 원전안전등급제어기기(Safety Programmable Logic Controller)에 대하여 결함수목분석을 통한 오류 예측 분석을 하였다. 또한, 위의 구조에 대하여 MSC(Message Sequence Chart)를 통한 모델링을 수행하여, 결함수목분석을 적용하는 과정에서 신뢰도 향상을 더하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1609-1611
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• 2013

녹색 도시 조성의 주요 요소인 수목(tree)을 대상으로 도시 대기오염 개선수준을 평가하는 연구가 활발하다. 그러나 측정을 통해 수집된 데이터는 수목의 종류와 밀도에 따라 실시간으로 직관적인 도시 대기오염 개선 정도를 판단하는 데 애로가 있다. 본 연구는 이 문제를 해결하는 데 일조하는 소프트웨어 도구를 제시한다. 본 연구에서 개발한 소프트웨어 도구는 대기환경을 개선할 지역별 대기환경측정 정보를 이용하여 3 차원 모델링과 Google Map 서비스를 매쉬업(mash-up)하여 가상으로 수목을 심고 이에 따른 도시 대기오염 개선효과를 시각화한다. 본 연구결과는 도시대기환경 개선을 위한 정책개발과 예산수립에 일조할 것이다.

• Korean Journal of Environment and Ecology
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• v.26 no.5
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• pp.812-826
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• 2012

The selection rate of tree burials (TB) is still low in spite of increasing concerns about TB and government's efforts to increase TB participation. It is necessary to understand the factors affecting TB selection. This study investigated the relationship between major variables (attitude: ATT; subjective norm: SN; perceived behavioral control: PBC) of Ajzen's theory of planned behavior (TPB), additional variable (custom: CUST), and intention to select TB by using structural equation modelling (SEM). Samples were selected from Gwang-ju citizens using proportionate stratified sampling (PST) by region during September of 2011. Four hundred and twelve responses were used for data analysis. The model showed fair goodness of fit. All four variables (ATT, SN, PBC, CUST) influenced intention to select TB. The four variables explained 53.0% of intention to select TB. SN(${\beta}$=0.459) was the most predictive variable on the intention, followed by ATT(${\beta}$=0.247), PBC(${\beta}$=0.152), and CUST(${\beta}$=0.102) in decreasing order. The results were discussed and some suggestions to increase the intention of tree burial selection were made.

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1139-1149
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• 2017

Measuring tree's volume is very important input data of various environmental analysis modeling However, It's difficult to use economical and equipment to measure a fragmented small green space in the city. In addition, Trees are sensitive to seasons, so we need new and easier equipment and quantification methods for measuring trees than lidar for high frequency monitoring. In particular, the tree's size in a city affect management costs, ecosystem services, safety, and so need to be managed and informed on the individual tree-based. In this study, we aim to acquire image data with UAV(Unmanned Aerial Vehicle), which can be operated at low cost and frequently, and quickly and easily quantify a single tree using SfM-MVS(Structure from Motion-Multi View Stereo), and we evaluate the impact of reducing number of images on the point density of point clouds generated from SfM-MVS and the quantification of single trees. Also, We used the Watertight model to estimate the volume of a single tree and to shape it into a 3D structure and compare it with the quantification results of 3 different type of 3D models. The results of the analysis show that UAV, SfM-MVS and solid model can quantify and shape a single tree with low cost and high time resolution easily. This study is only for a single tree, Therefore, in order to apply it to a larger scale, it is necessary to follow up research to develop it, such as convergence with various spatial information data, improvement of quantification technique and flight plan for enlarging green space.

• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.119-130
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• 2012

In this paper, we propose ubiquitous tree management system based on GIS and smart-phone using the object-oriented design modeling to maximize the efficiency of tree management. For this, proposed system is implemented in the form of client/server (C/S). The spot tree management system as the client is based on the mobile(PDA, Smart-Phone), whereas the tree management system based on PC as the server makes use of GIS. Also, Web service method instead of CDMA used in exist studies is used for tree data communication among C/S. And problems of existing studies, that is excessive maintenance costs, accessibility shortage of variety users, connectivity shortage of geographic information system will be settled through the convergence of the proposed system development methods, GIS system, smart devices. Therefore, we verify proposed system by using the systemic unit test and qualitative assessment respectively and prove to be more excellent than the existing system based on the mobile, in terms of systemic effectiveness and extendability.