• Journal of the Society of Disaster Information
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• v.9 no.3
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• pp.358-364
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• 2013

Conventional disaster resources management systems among the several institutes are not mutually connected. In case of NDMS(National Disaster Management System), the data of the system is confined to the resources of the local governments and not connected with any other disaster resource management systems. Therefore, it is difficult to find the needed resources, when the large scale disaster is occurred. In this paper, we developed the integrated model of the distributed resources management framework considering the current resource management environment among the institutes. It is loosely coupling model under the centralized system, called IDRM(Integrated Disaster Resource Manager). The system will be verified with the test sites including Korea Expressway Corporation, JeonBuk local government, and Korea Construction Equipment Association. Via the field testing, the system will be the base of the real available system in the future.

• Journal of the Society of Disaster Information
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• v.13 no.4
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• pp.476-482
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• 2017

For the bridges managed by the municipalities, there is a need for a maintenance management system for the municipal governments for the scientific and systematic maintenance standard and the scientificization of the budget acquisition and execution through the quantified data base. The purpose of this study is to develop a system for efficient management of small bridgies maintained by the municipality and use ICT convergence technology such as BIM / GIS technology. The details of the system development include the development of the small bridgies maintenance program for mobile devices, the development of the small bridgies maintenance database, the development of the small bridgies integration maintenance management, and the reliability of the program system developed by checking the construction and operation contents of the small bridgies test-bed. The developed program system is linked to the development of smart name plate and reader module of non - power system.

• Journal of Soil and Groundwater Environment
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• v.22 no.6
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• pp.120-128
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• 2017

The aim of this study is to analyze the accuracy of SRTM Ver 3.0 and ASTER GDEM Ver 2 over Korea. To enable this, accuracy analysis was performed by using precise DEM which was made with multiple aerial image matching and national base map benchmark. The result of this study identified both SRTM and ASTER have different features. The height of the SRTM was found to be higher (3.8 m on average) at lower elevation and lower (8.4 m on average) at higher elevation. In contrast, the ASTER was found to be lower than the actual height at both lower and higher elevation (2.92 m, 4.51 m on average). The cause of this height bias according to the elevation is due to the differences in data acquisition and processing methods of DEM. It was identified however that both SRTM and ASTER were within allowable limits of error. In addition, RMSE of the SRTM was smaller than the ASTER in comparison to benchmark, and also the bias trend both at higher and lower terrain were similar to the precise DEM which was made with multiple aerial image matching. Therefore, the reliability of SRTM can be considered to be higher.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.6
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• pp.1-8
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• 2019

Carbon dioxide is one of the major driving forces causing climate changes, and many countries have been trying to reduce carbon dioxide emissions from various sources. Soil stores more carbon dioxide(two to three times) amounts than atmosphere indicating that soil organic carbon emission management are a pivotal issue. In this study, we developed a Soil Organic Carbon(SOC) storage estimation model to predict SOC storage amounts in soils. Also, SOC storage values were assessed based on the carbon emission price provided from Republic Of Korea(ROK). Here, the SOC model calculated the soil hydraulic properties based on the soil physical and chemical information. Base on the calculated the soil hydraulic properties and the soil physical chemical information, SOC storage amounts were estimated. In validation, the estimated SOC storage amounts were 486,696 tons($3.526kg/m^2$) in Jindo-gun and shown similarly compared to the previous literature review. These results supported the robustness of our SOC model in estimating SOC storage amounts. The total SOC storage amount in ROK was 305 Mt, and the SOC amount at Gyeongsangbuk-do were relatively higher than other regions. But the SOC storage amount(per unit) was highest in Jeju island indicating that volcanic ashes might influence on the relatively higher SOC amount. Based on these results, the SOC storage value was shown as 8.4 trillion won in ROK. Even though our SOC model was not fully validated due to lacks of measured SOC data, our approach can be useful for policy-makers in reducing soil organic carbon emission from soils against climate changes.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.375-375
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• 2018

세계 수자원 시장은 연평균 6.5%씩 증가하고 있으며, 2025년 기준 1,038조원까지 급성장할 것으로 전문가들은 예상하고 있으나, 기후변화의 가속화로 인해 가뭄 및 홍수피해가 증가하여 수자원 관리가 더욱 어려워져지고 있다. 급속도로 변화는 환경에 대비하기 위해 국내에서는 수자원 및 기후변화에 대한 다양한 연구가 진행되고 있으나, 해외사업 진출 시에는 수자원 기초자료 수집에 대한 어려움을 겪고 있다. 이를 해결하기 위해 글로벌 수문기상자료 제공과 함께 GIS정보, 댐 및 저수지 관련 자료, 인문사회 자료, 물관련 통계자료, 물관련 재해자료 등을 웹으로 제공하는 글로벌 수자원 정보 시스템(GWB, Global World Bank)을 개발하고자 한다. 본 연구에서는 시스템의 통합 DB를 구축하고 관리방안을 도출하기 위해 수집된 메타데이터 속성 및 데이터구조를 파악하고, 세부항목별 자료 포맷을 분석 후 GIS기반 관측소 정보와 자료를 매칭하여 최종적으로 시스템 컨텐츠별로 DB를 맵핑하였다. 강수량과 기상자료는 33개국의 관측소 6,531개소의 일/월/연단위 관측자료와 10,977격자의 격자분석자료를 구축하였다. 수문자료는 33개국의 수문관측소 2,242개의 월/연단위 유량관측자료와 10,977격자의 월/연단위 직접유출, 기저유출, 잠재증발산의 격자분석자료를 구축하였다. 그리고, 수집된 강우와 기상자료는 기계 오작동, 자료 전송 오류 등으로 인한 결측치 및 이상치에 대해 자료품질분석을 통해 오자료에 대한 보정을 진행하였다. 해당자료는 MySQL를 활용하여 DB를 구축하였으며, GIS정보는 GeoServer를 활용하여 운영서버에 구축된 정보를 최종적으로 사용자에게 Web Browser로 표출하였다. 해당 시스템은 추후 전지구 수자원관련 정보를 제공하여 해외사업지역의 댐이나 보 등의 구조물 설계, 수자원산업의 해외 진출시 데이터 수집의 한계점 및 시간단축을 해결할 수 있어 수자원 분야에 기여 할 수 있을 것으로 판단된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.613-616
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• 2009

Information present condition is using situation board by manual processing that is consisted of ship arrangement plan and letterpress and magnet etc. in Pyeongtaekhang's deep-sea fishing vessel company. Study that mark open sea far from land ship information of underway 37 ships that is accepted in every time in internet web application environment that is based on Ubiquitous Network in PC that is linked to internet. 3 through practical use of RIA of Flash technology base compose Digital Dash-Board in width grid structure only and do ship sailing addition that is operating in 6 oceans and latitude, hardness indication as well as various informations to do visual display do. Emphasized in dynamic Web Application construction because can heighten the convenience to operator and user, and take advantage of real time data.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.159-166
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• 2010

It is noteworthy that EIS Consulting Method by ISP based on ERP Linkage Type for Large Scale Enterprise Associate Company. In this thesis, IT Strategy plan and methodology are suggested in order to solve the several problems including standardization on implementation of EIS Introduction and operation between large-small enterprise. Integration of business and information technical is made by Business management group's continuous IT concern and future information strategy. Also this paper proposes ISP Planning method (environment analysis, present analysis, IT analysis, target IT plan etc..), EIS Construction (based ERP Real data/time). In addition to, we suggest to use electron industry model and LCD/LED field in this system.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.4
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• pp.211-218
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• 2019

The Ministry of Land, Infrastructure and Transport is planning to launch CAS-500 (Compact Advanced Satellite 500) 1 and 2 in 2019 and 2020. Satellite image information collected through CAS-500 can be used in various fields such as global environmental monitoring, topographic map production, analysis for disaster prevention. In order to utilize in various fields like this, it is important to get the location accuracy of the satellite image. In order to establish the precise geometry of the satellite image, it is necessary to establish a precise sensor model using the GCP (Ground Control Point). In order to utilize various fields, step - by - step automation for orthoimage construction is required. To do this, a database of satellite image GCP chip should be structured systematically. Therefore, in this study, we will analyze various techniques for automatic GCP extraction for precise geometry of satellite images.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.2
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• pp.94-107
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• 2022

Accidents prevention and mitigation is the highest priority of nuclear power plant (NPP) operation, particularly in the aftermath of the Fukushima Daiichi accident, which has reignited public anxieties and skepticism regarding nuclear energy usage. To deal with accident scenarios more effectively, operators must have ample and precise information about key safety parameters as well as their future trajectories. This work investigates the potential of machine learning in forecasting NPP response in real-time to provide an additional validation method and help reduce human error, especially in accident situations where operators are under a lot of stress. First, a base-case SGTR simulation is carried out by the best-estimate code RELAP5/MOD3.4 to confirm the validity of the model against results reported in the APR1400 Design Control Document (DCD). Then, uncertainty quantification is performed by coupling RELAP5/MOD3.4 and the statistical tool DAKOTA to generate a large enough dataset for the construction and training of neural-based machine learning (ML) models, namely LSTM, GRU, and hybrid CNN-LSTM. Finally, the accuracy and reliability of these models in forecasting system response are tested by their performance on fresh data. To facilitate and oversee the process of developing the ML models, a Systems Engineering (SE) methodology is used to ensure that the work is consistently in line with the originating mission statement and that the findings obtained at each subsequent phase are valid.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1D
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• pp.121-128
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• 2009

The King George Island, where the King Sejong Station is located, represents one of the gateways to the Antarctica from the point of its geographical aspect. It also serves as an advanced post, and plays an important role in the extending for Korea's Antarctic research activities. The existence of maps is not only a basic element for the constructing geographic informations supporting these activities, but also an implied way of announcing the sovereignty over the KingSejong Station in global world. However, the precise surveying for the geographic information has not been carried out, and thus topographical maps as well as geographic information assuring enough accuracy are still missed in this area. This fact had forced Korea to rely on using maps produced by foreign countries. Therefore, this study aims to generate digital topographical maps of 1: 5,000 scale for the constructing geographic information using lightweight aerial photogrammetry system first. And further, it will contribute to offer practical base data for the future research related to the Antarctic environment through the analysis of glacier retreat and change using this new digital map comparing with existing one.