• 한국군사과학기술학회지
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• 제23권4호
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• pp.417-425
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• 2020

Multi-resolution modeling(MRM) is required when simulating objects in variable resolution and can be applied for interoperating systems, which simulate objects in fixed resolution. However, most interoperation middleware do not support MRM, so participating models must handle several issues to simulate MRM system. In this paper, we propose an interoperation system, which is composed of several different resolution models, based on the High Level Architecture and Run-Time Infrastructure(HLA/RTI). In the proposed architecture, each model participates to a HLA federation through MRM adapter application, which supports data resolution conversion and HLA services while communicating with the model. MRM adapter application can be implemented based on an MRM adapter, and an adapter application development tool is proposed to support developing the application. Using the tool, developers can easily implement data resolution conversion component plugged-in HLA adapter. A case study is implemented in the proposed MRM system, and shows that models of different resolution works successfully with dynamic resolution changes.

• 대기
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• 제31권5호
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• pp.473-488
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• 2021

A new physical/statistical diagnostic downscale model has been developed for use to improve near-surface air temperature forecasts. The model includes a series of physical and statistical correction methods that account for un-resolved topographic and land-use effects as well as statistical bias errors in a low-resolution atmospheric model. Operational temperature forecasts of the Local Data Assimilation and Prediction System (LDAPS) were downscaled at 100 m resolution for three months, which were used to validate the model's physical and statistical correction methods and to compare its performance with the forecasts of the Korea Meteorological Administration Post-processing (KMAP) system. The validation results showed positive impacts of the un-resolved topographic and urban effects (topographic height correction, valley cold air pool effect, mountain internal boundary layer formation effect, urban land-use effect) in complex terrain areas. In addition, the statistical bias correction of the LDAPS model were efficient in reducing forecast errors of the near-surface temperatures. The new high-resolution downscale model showed better agreement against Korean 584 meteorological monitoring stations than the KMAP, supporting the importance of the new physical and statistical correction methods. The new physical/statistical diagnostic downscale model can be a useful tool in improving near-surface temperature forecasts and diagnostics over complex terrain areas.

• 한국융합학회논문지
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• 제12권10호
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• pp.63-70
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• 2021

고해상도 심층신경망을 이용하여 기상데이터를 초해상화하면 보다 더 정밀한 연구와 실생활에 유용한 서비스를 제공할 수 있다. 본 논문에서는 고해상도 심층신경망 학습에 사용하기 위한 개선된 훈련자료 생산기술을 최초로 제안한다. 기상전문 지식으로 고해상도 기상 자료를 생성하기 위해, 전문 기관의 관측자료와 ERA5 재분석장 자료를 바탕으로 람베르트 정각원추도법과 객관분석을 적용했다. 그 결과, 기상 전문 지식 기반의 기온 및 습도 분석자료는 기존 배경장 대비 RMSE 값이 각각 최대 42%, 46% 개선되었다. 다음으로, 기상 전문 기술을 이용한 수동적인 데이터 생성 기법을 자동화하기 위해 인공지능 기술 중 하나인 SRGAN을 이용했고, 10 km 해상도를 가지는 전지구모델자료로부터 1 km 해상도를 가지는 고해상도 자료를 생성하는 실험을 진행했다. 최종적으로, SRGAN으로 생성한 결과는 전지구모델입력자료에 비해 높은 해상도를 가지며 수동으로 생성한 고해상도 분석자료와 유사한 분석 패턴을 보이면서도 부드러운 경계를 보였다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2002년도 추계 학술대회논문집
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• pp.88-94
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• 2002

Curved intakes are commonly used from commercial aircraft to military missile. Sound radiation from the intake of air vehicle affects cabin noise, community noise and military detection. In this paper, Sound radiation from curved intake is computed using the high order, high resolution scheme. The generalized characteristic boundary conditions, adaptive nonlinear artificial dissipation model and conformal mapping for high order, high resolution scheme are used. The geometric change of curved intake and the frequency of acoustic source are considered. Two dimensional Euler equations are solved for theses analyses.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2006년도 춘계 학술발표회 논문집
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• pp.931-938
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• 2006

Using high resolution stereoscopic imaging system three digital elevation model of tunnel face is acquired. The images oriented within a given tunnel coordinate system are brought into a stereoscopic vision system enabling three dimensional inspection and evaluation. The possibilities for the prediction ahead and outside of tunnel face have been improved by the digital vision system with 3D model. Interpolated image structures of rock mass between subsequent stereo images will enable to model the rock mass surrounding the opening within a short time at site. The models shall be used as input to numerical simulations on site, comparison of expected and encountered geological conditions, and for the interpretation of geotechnical monitoring results.

• ETRI Journal
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• 제46권1호
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• pp.35-47
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• 2024

This study introduces CR-M-SpanBERT, a coreference resolution (CR) model that utilizes multiple embedding-based span bidirectional encoder representations from transformers, for antecedent recognition in natural language (NL) text. Information extraction studies aimed to extract knowledge from NL text autonomously and cost-effectively. However, the extracted information may not represent knowledge accurately owing to the presence of ambiguous entities. Therefore, we propose a CR model that identifies mentions referring to the same entity in NL text. In the case of CR, it is necessary to understand both the syntax and semantics of the NL text simultaneously. Therefore, multiple embeddings are generated for CR, which can include syntactic and semantic information for each word. We evaluate the effectiveness of CR-M-SpanBERT by comparing it to a model that uses SpanBERT as the language model in CR studies. The results demonstrate that our proposed deep neural network model achieves high-recognition accuracy for extracting antecedents from NL text. Additionally, it requires fewer epochs to achieve an average F1 accuracy greater than 75% compared with the conventional SpanBERT approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3745-3761
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• 2020

Low-rank representation methods already achieve many applications in the image reconstruction. However, for high-gradient image patches with rich texture details and strong edge information, it is difficult to find sufficient similar patches. Existing low-rank representation methods usually destroy image critical details and fail to preserve edge structure. In order to promote the performance, a new representation-based image super-resolution reconstruction method is proposed, which combines gradient domain guided image filter with the structure-constrained low-rank representation so as to enhance image details as well as reveal the intrinsic structure of an input image. Firstly, we extract the gradient domain guided filter of each atom in high resolution dictionary in order to acquire high-frequency prior information. Secondly, this prior information is taken as a structure constraint and introduced into the low-rank representation framework to develop a new model so as to maintain the edges of reconstructed image. Thirdly, the approximate optimal solution of the model is solved through alternating direction method of multipliers. After that, experiments are performed and results show that the proposed algorithm has higher performances than conventional state-of-the-art algorithms in both quantitative and qualitative aspects.

• 한국대기환경학회지
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• 제26권2호
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• pp.137-150
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• 2010

A meso-urban meteorological model (Urbanized MM5; uMM5) with urban canopy parameterization (UCP) was applied to the high-resolution simulation of meteorological fields in a complex coastal urban area and the assessment of urban impacts. Multi-scale simulations with the uMM5 in the innermost domain (1-km resolution) covering the Busan metropolitan region were performed during a typical sea breeze episode (4~8 August 2006) with detailed fine-resolution inputs (urban morphology, land-use/land-cover sub-grid distribution, and high-quality digital elevation model data sets). An additional simulation using the standard MM5 was also conducted to identify the effects of urban surface properties under urban meteorological conditions. Results showed that the uMM5 reproduced well the urban thermal and dynamic environment and captured well the observed feature of sea breeze. When comparison with simulations of the standard MM5, it was found that the uMM5 better reproduced urban impacts on temperature (especially at nighttime) and urban wind flows: roughness-induced deceleration and UHI (Urban Heat Island)-induced convergence.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.297-300
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• 2008

High-resolution mesoscale meteorological modeling requires more accurate and higher resolution digital elevation model (DEM) data. Shuttle Radar Topographic Mission (SRTM) has created 90 m DEM for entire globe and that is freely available for meteorological modeling and environmental applications. In this research, the effects of the topographic interpolation methods on high-resolution wind field simulation in the coastal regions were quantitatively analyzed using Weather Research and Forecasting (WRF) model with SRTM data. Sensitivity experiments with three different interpolation schemes (four-point bilinear, sixteen-point overlapping parabolic and nearest neighbor interpolation methods) were preformed using SRTM. In WRF modeling with sixteen-point overlapping parabolic interpolation, the coastal line and some small islands show more clearly than other cases. The maximum height of inland is around 140 meters higher, while the minimum of sea height is about 80 meter lower. As it concerns the results of each scheme it seems that the sixteen-point overlapping parabolic scheme indicates the well agreement with observed surface wind data. Consequently, topographic changes due to interpolation methods can lead to the significant influence on mesoscale wind field simulation of WRF modeling.

• 정보처리학회논문지B
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• 제17B권4호
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• pp.295-302
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• 2010

예제기반 초해상도 영상 복원(EBSR)은 고해상도 영상과 저해상도 영상간의 패치간 대응관계를 학습함으로써 고해상도 영상을 복원하는 방법으로, 한 장의 저해상도 영상으로부터도 고해상도 영상을 복원할 수 있는 장점이 있다. 그러나, 폰트의 종류나 크기가 학습 영상과 다른 텍스트 영상을 적용할 경우 잡영을 많이 발생시킨다. 그 이유는 복원 과정 중 매칭 단계에서 입력 패치들이 사전 내의 고해상도 패치와 부적절하게 매칭될 수 있기 때문이다. 본 논문에서는 이러한 문제점을 극복하기 위한 새로운 패치 매칭 방법을 제안한다. 제안하는 방법은 영상 관찰 모델을 이용하여 입력 영상과 출력 영상간의 상관 관계를 보존함으로써 잘못 매칭된 패치로 인한 잡영을 효과적으로 억제한다. 이는 출력 영상의 화질을 개선할 뿐 아니라, 다양한 종류 및 크기의 폰트를 포함한 대용량 패치 사전을 적용할 수 있게 함으로써 폰트의 종류 및 크기의 변이에 대한 적응력을 크게 향상시킨다. 실험에서 제안하는 방법은 폰트와 크기가 다양한 영상에 대하여 기존의 방법보다 우수한 영상 복원 성능을 나타내었다. 뿐만 아니라, 인식 성능도 88.58%에서 93.54%로 개선되어 제안하는 방법이 인식 성능의 개선에도 효과적임을 확인하였다.