• Journal of Korean Tunnelling and Underground Space Association
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• v.17 no.3
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• pp.305-317
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• 2015

This paper is to perform 3-dimensional numerical analysis considering face pressure, backfill pressure, excavation length, soil model and element size for selecting key factors of ground surface settlement due to shield TBM advancement. According to the numerical analysis results, backfill pressure and soil model are governing factors inducing ground surface settlement. To complement this study, the ground conditions and characteristics of the boring machine will be considered using numerical analysis.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.512-515
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• 2011

터널 해석은 주로 지표침하와 터널 라이닝 내 단면력 산정에 초점이 맞춰지며 이는 시공단계를 고려한 3차원 수치해석 모델을 이용해 결정할 수 있다. 수치해석 시 shield는 응력 제어, shell element로 모델링하는 방법 등으로 모사될 수 있다. 한편 변위 제어를 통한 쉴드 모사는 shield를 적절한 경계조건으로 처리함으로서, 다른 shield 모사 방법에 비해 모델링 작업을 간소화하고 해석의 효율성을 높일 수 있다. 본 연구에서는 변위 제어에 의한 shield 모사를 위한 적정 경계조건을 제안한다. 이를 위해 시공단계가 고려된 유한요소해석을 사용하여, 쉴드 및 굴착면에서의 경계조건 변화와 이에 따른 지표침하 관측 수행하였다. 제안된 shield 변위 제어로부터 얻어진 해석결과를 이론적인 해와 비교함으로서, 제시된 shield 모델링 방법의 적정성과 지반 거동 변화를 평가하고자 한다. 해석 결과는 지반 모델의 지표침하를 기준으로 관찰되었으며, 변위제어에 의한 결과와 요소에 의한 모델링 결과가 유사하게 얻어짐을 보여준다. 또한 변위제어의 쉴드 모사에서 회전 구속보다 변위 구속 조건에 지배적으로 영향을 받음을 확인하였다.

• Journal of the Korean association of regional geographers
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• v.19 no.2
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• pp.352-361
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• 2013

This paper aims to analyze the root mean square errors of MODIS LST data and inland water temperature measurement data in order to use MODIS LST data as an input of numerical weather prediction model. MODIS LST data from July 2011 to June 2012 were compared to water temperature measurement data in the automated water quality measurement network. MODIS data have two composites: day-time and night-time. Monthly errors of day-time and night-time LST range $2{\sim}8^{\circ}C$ and $3{\sim}12^{\circ}C$, respectively. Temporally, monthly errors of day-time LST are less in fall and those of night-time LST are less in summer. Spatially, on the four major rivers including the Han, Nakdong, Geum, and Yeongsan rivers, the errors of Yeongsan river were the smallest, which location is the south-most among them. In this study, the errors of MODIS LST as an input of numerical weather prediction model were analyzed and the results can be used as an error level of MODIS LST data for inaccessible areas such as North Korea.

• Journal of Korean Tunnelling and Underground Space Association
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• v.15 no.3
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• pp.271-287
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• 2013

In this study, more convenient model(S-model) for predicting ground surface settlement is developed through comparing field monitoring data of the domestic subway applied shield TBM method with conventional equation & numerical analysis. Sample stations are chosen from whole of excavation section and lateral & vertical ground surface settlement characteristic with excavation are analysed. Based on analysis result, through the comparison with actual monitoring data, the model that is possible to compute maximum surface settlement and settlement influence area is suggested with assumption that lateral surface settlement forms are composed relaxed zone and elastic zone. In addition, vertical ground surface settlement patterns with excavation are similar to cubic-function and S-model with assumption that coefficients are function of tunnel diameter and depth is suggested. Consequently, the ground surface settlement patterns are significantly similar to actual monitoring data and numerical method result. Thus, as a result, when tunnels are excavated using sheild TBM through rather soft weathered soil & rock layer, prediction of ground surface settlement with excavation using convenient S-model is practicable.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.5
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• pp.441-448
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• 2011

Lately, digital restitution was became common using digital aerial photos. Therefore, we can obtain three-dimensional data. As a plotting-maker is checked by naked eye, plotting original data is very useful for making reliable three-dimensional data including contour and elevation point layers. In this study, we want to make precise and accurate digital elevation model using plotting original data. Contour and elevation point layers was extracted in digital map and break line was extracted in plotting original data. And then, compared both of results. For comparison, we selected slight slope and complex topography area like a residence area, mountain and agricultural land. We extracted break line deleting layer until obtaining ideal digital elevation model. As the results, We could extract contour, elevation points, eight road and two boundary layers using break lines. And We could obtain precise elevation model. Editing break lines, the distortion of digital elevation model could be minimized in the complex and sharp slope area.

• Aerospace Engineering and Technology
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• v.11 no.1
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• pp.118-125
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• 2012

The purpose of this study is to analyze the ortho image quality change according to the generation technique of Digital Elevation Model(DEM) based on the digital map. First of all, two different types of DEM were generated using contour layer(Case1), contour layer and altitude layer(Case2) from the digital map on the scale of 1/5,000. After generating and evaluating two types of DEM, KOMPSAT-2 ortho images were generated by using them. In conclusion, Case2 DEM was more effective to use in the slope and switchback area, on the other hand, Case1 DEM was much better than Case2 DEM for preventing a topographic distortion in flat area.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.40-42
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• 2003

최근 국내 기업들은 소프트웨어 프로세스 심사를 통하여 기업의 프로세스 성숙도 향상과 개발되는 제품의 품질을 향상시키고자 하는 관점에서 CMM과 SPICE와 같은 프로세스 모텔을 적용하고 있다. 이 모델들은 소프트웨어 프로세스가 일정 수준의 성숙도를 지나면 측정을 활용하여 성숙도를 높일 수 있도록 모델을 제시하고 있으며, 이는 소프트웨어 개발의 지표들을 정량적인 수치로 객관화하여 관리하도록 권고하고 있다. 본 논문에서는 Embedded 소프트웨어를 개발하는 기업에서 측정을 통하여 지표들을 정량적으로 관리하고 각 지표들 간의 상관 관계를 분석하여 메트릭스와 시장 점유율간의 의존도 분석 사례를 제시한다.

• Journal of the Korean earth science society
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• v.36 no.2
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• pp.158-170
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• 2015

This study evaluates the wind speed forecast near the surface layer using the Weather Research Forecasting with Large Eddy Simulation (WRF-LES) model in order to compare the planetary boundary layer (PBL) parameterization with the LES model in terms of different spatial resolution. A numerical simulation is conducted with 1-km and 333-m horizontal resolution over the Gangwon Province including complex mountains and coastal region. The numerical experiments with 1-km and 333-m horizontal resolution employ PBL parameterization and LES, respectively. The wind speed forecast in mountainous region shows a better forecast performance in 333-m experiment than in 1-km, while wind speed in coastal region is similar to the observation in 1-km spatial resolution experiment. Therefore, LES experiment, which directly simulates the turbulence process near the surface layer, contributes to more accurate forecast of surface wind speed in mountainous regions.

• Journal of the Mineralogical Society of Korea
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• v.30 no.1
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• pp.1-9
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• 2017

This study investigated the effectiveness of Unmanned Aerial Vehicle (UAV) and 3D modeling on mine reclamation monitoring. The high spatial resolution of 3.8 cm ortho-mosaic image and Digital Elevation Model (DEM) are constructed based on UAV air survey. The ortho-mosaic image effectively shows mine reclamation activities and recognize objects and topological changes in the image. The comparative analysis of 3D models between UAV based DEM and report based DEM reveals that total amount of $268,672m^3$ additional dumping of contaminated soil is equivalent to 710,000 ton. It concludes that a UAV based survey enables high accuracy spatial information extraction for mine reclamation activities with high efficiency. It is expected that UAV survey will be very effectively used for preliminary data acquisition and project monitoring for mine reclamation activities.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.203-208
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• 2023

본 논문에서는 대규모 언어 모델의 인컨텍스트 러닝과 프롬프팅을 활용하여 수치 추론 태스크 데이터셋을 효과적으로 증강시킬 수 있는 방법론을 제안한다. 또한 모델로 하여금 수치 추론 데이터의 이해를 도울 수 있는 전처리와 요구사항을 만족하지 못하는 결과물을 필터링 하는 검증 단계를 추가하여 생성되는 데이터의 퀄리티를 보장하고자 하였다. 이렇게 얻어진 증강 절차를 거쳐 증강을 진행한 뒤 추론용 모델 학습을 통해 다른 증강 방법론보다 우리의 방법론으로 증강된 데이터셋으로 학습된 모델이 더 높은 성능을 낼 수 있음을 보였다. 실험 결과 우리의 증강 데이터로 학습된 모델은 원본 데이터로 학습된 모델보다 모든 지표에서 2%p 이상의 성능 향상을 보였으며 다양한 케이스를 통해 우리의 모델이 수치 추론 학습 데이터의 다양성을 크게 향상시킬 수 있음을 확인하였다.