• The Journal of the Acoustical Society of Korea
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• v.36 no.4
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• pp.273-278
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• 2017

In this paper, a post-processing algorithm to suppress reverberation for continuous-wave active sonar system is developed. The developed algorithm is designed for a low-doppler environment where the target echo is not distinguishable from the reverberation. The algorithm is developed based on overlapping nonnegative matrix factorization method. The algorithm analyzes the frequency characteristics of transmitting ping signal, then suppresses the reverberation using time-frequency characteristics of the received signal. Simulations performed in order to evaluate the proposed algorithm, and the results show that the proposed algorithm makes 6 dB signal-to-reverberation ratio enhancement in various reverberation energy conditions.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.341-341
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• 2017

토석류는 기본적으로 강우에 기인하는 산지재해이다. 따라서 국토의 64%가 산지인 동시에 여름철 강우가 집중되는 우리나라의 특성상 토석류가 발생할 가능성이 상당히 크다. 또한 최근 높은 인구밀도로 인하여 불가피하게 토석류 발생 시 큰 인명피해마저 우려되고 있는 실정이다. 토석류저감을 위해서 FLO-2D, RAMMS, DEBRIS-2D 등의 다양한 수치해석 프로그램들이 개발되어왔다. 이러한 프로그램들을 통해 토석류를 해석하려면 조사하려는 지역의 지형자료를 습득하는 것이 선행되어져야 한다. 하지만 토석류 재해지역의 접근성 및 위험성을 감안할 때 해당 지역으로의 접근이 곤란하여 지형자료를 직접 얻는 것은 어려운 경우가 대부분이다. 본 연구에서는 토석류 재해 위험지역에서 드론촬영을 실시하여 후처리 프로그램을 통해 해당 지역의 DEM을 생성하였다. 생성한 DEM이 효용가치를 지니려면 실제 지형과의 차이를 최소한으로 가져야 한다. 따라서 드론촬영으로 생성한 DEM을 수치지도를 통해 생성한 DEM과 비교하여 좌표의 편차, 고도의 편차 등을 계산하였다. 또한 각각의 DEM 자료에 FLO-2D를 적용하여 토석류 재해 위험지역에 설치된 사방시설의 저감능력을 확인해보았다. 두 DEM의 비교분석을 통해 드론촬영으로 생성한 DEM이 충분한 실용성을 지니고 있음을 확인하였고, 또한 해당 지점에 설치된 사방시설의 저감능력을 다방면으로 확인할 수 있었다. 연구결과, 현재 급부상하고 있는 드론을 통해 사방사업을 효율적으로 진행할 수 있음을 확인하였다. 이는 토석류 저감 부문에서 큰 효과를 발휘할 것으로 기대된다.

• Atmosphere
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• v.24 no.4
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• pp.565-571
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• 2014

A long-range prediction system of tropical cyclone (TC) activity over the western North Pacific (WNP) has been operated in the National Typhoon Center of the Korea Meteorological Administration since 2012. The model forecasts the spatial distribution of TC tracks averaged over the period June~October. In this study, we separately developed TC prediction models for summer (June~August) and autumn (September~November) period based on the current operating system. To perform the three-month WNP TC activity prediction procedure readily, we modified the shell script calling in environmental variables automatically. The user can apply the model by changing these environmental variables of namelist parameter in consideration of their objective. The validations for the two seasons demonstrate the great performance of predictions showing high pattern correlations between hindcast and observed TC activity. In addition, we developed a post-processing script for deducing TC activity in the Korea emergency zone from final forecasting map and its skill is discussed.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.145-153
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• 2020

Recently, keyword extraction from social big data has been widely used for the purpose of extracting opinions or complaints from the user's perspective. Regarding this, our previous work suggested a method to improve accuracy of keyword extraction based on the notion of cohesion scoring, but its accuracy can be degraded when the number of input reviews is relatively small. This paper presents a method to resolve this issue by applying simplified morphological analysis as a postprocessing step to extracted keywords generated from the algorithm discussed in the previous work. The proposed method enables to add analysis rules necessary to process input data incrementally whenever new data arrives, which leads to reduction of a dictionary size and improvement of analysis efficiency. In addition, an interactive rule adder is provided to minimize efforts to add new rules. To verify performance of the proposed method, experiments were conducted based on real social reviews collected from online, where the results showed that error ratio was reduced from 10% to 1% by applying our method and it took 450 milliseconds to process 5,000 reviews, which means that keyword extraction can be performed in a timely manner in the proposed method.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.37-53
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• 2023

The AI based intelligent command and control system can automatically analyzes the properties of intricate battlefield information and tactical data. In addition, commanders can receive situation analysis results and battlefield awareness through the system to support decision-making. It is necessary to build a battlefield situation analysis dataset similar to the actual battlefield situation for learning AI in order to provide decision-making support to commanders. In this paper, we explain the next step of the dataset construction method of the existing previous research, 'A Virtual Battlefield Situation Dataset Generation for Battlefield Analysis based on Artificial Intelligence'. We proposed a method to build the dataset required for the final battlefield situation analysis results to support the commander's decision-making and recognize the future battlefield. We developed 'Dataset Generator SW', a software tool to build a learning dataset for battlefield situation analysis, and used the SW tool to perform data labeling. The constructed dataset was input into the Siamese Network model. Then, the output results were inferred to verify the dataset construction method using a post-processing ranking algorithm.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.65-69
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• 2007

Analyzed information from research outcomes such as papers, reports and patents is important data as an indicator for setting up the direction of future research policy, as well as is essential for active sharing and dissemination of research information and cooperative work between researchers. In this paper, as a method for presenting the analyzed information easily, accurately and systematically, we describe a method that processes the information about research outcomes into ontology-based knowledge and expands the knowledge by reasoning. Especially, we focus on the definition of analyzed information from research outcomes and queries and postprocess for obtaining the analyzed information from the ontology-based knowledge.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.14-24
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• 2006

There are many problems and limits in equipments being used for traffic-volume analysis in the country. And traffic-volume information acquired through existing equipments is not provided in real-time. In the case of urban, there are limits on guarantee of trust on comprehending a appropriate road-volume because of difficulty on analyzing traffic-volume density and time series. And it is difficult to applicate in deciding a road policy as existing equipments don't provide the control information of traffic-flow. Therefore, it is necessary to build a road-flow policy rapidly and accurately through the road-flow information that analyze post-processed statistics data using traffic-flow investigation based on real time. In this study, we developed TICS(Traffic Information Collection System) based on GPS which could transmit traffic information transformed from car location information to traffic control center. And we developed TCS(Traffic Control System) based on Web GIS, which could manage and analyze transmitted traffic information, and it could offer handled road-flow information to Web-site in realtime.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.208-208
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• 2018

본 연구에서는 비슬산 강우레이더 관측반경 내 표준유역별 정규화오차 정확도를 이용하여 강우량, 유역특성 등 강우레이더 관측의 수문학적 평가요소와의 상관 특성을 분석하였다. 이를 분석하면 강우레이더 관측 오차 또는 정확도가 수문학적 특성에 따라 얼마나, 어떻게 발생하는지를 추정할 수 있고, 이를 이용하여 홍수예보에 활용되는 입력 자료의 오차를 유역단위로 명확히 정량화 할 수 있어 보다 정확하고 신뢰도 높은 홍수예보에 도움이 될 것으로 기대된다. 강수량 크기와 강수추정 정확도 간의 상관 특성을 분석하기 위해 표준유역 평균 최대 강수량과 강수추정 정확도 간의 분포특성을 분석하였다. 단기간의 자료를 분석하여 오차특성을 정규화 하기는 매우 어렵기 때문에 본 연구에서는 비슬산 강우레이더로 관측된 2012년에서 2016년(5년)사이의 236개 강우사상에 대하여, 동기간의 기상청 AWS 지점 강우량을 기준으로 비슬산 강우레이더의 정규화오차 정확도(1-NE)를 산정한 후 이를 이용하여 850개 표준유역 별 유역평균 정규화오차 정확도를 재산정 하였다. 분석결과 표준유역 평균 최대강수량과 정규화오차 정확도 간에는 유의한 상관성이 있는 것으로 나타났다. 표준유역 평균 최대강수량의 크기에 따라 정규화오차 정확도가 상대적으로 일정한 경향이 나타났고 후처리 단계에서의 편파변수 최적화 이후에는 레이더 강수추정의 정규화오차 정확도가 표준유역 평균 최대강수량 크기에 상관없이 일정해 지는 것으로 나타났다. 따라서 이러한 일정한 레이더 강수추정의 정규화오차 정확도는, 편파변수 최적화에 의해 관측 가능한 최대 기대 정확도 수준 도달에 도달했다고 볼 수 있으며, 표준유역에서 강우레이더의 강수추정 기대 정확도 수준은 84%(정규화오차 16%에 해당) 정도로 추정되었다.

• Korean Journal of Remote Sensing
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• v.31 no.2
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• pp.183-191
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• 2015

If the damage analysis on river-side facilities such as dam, river bank structures and bridges caused by disasters such as typhoon, flood, etc. becomes available, it can be a great help for disaster recovery and decision-making. In this research, We tried to extract a Digital Surface Model (DSM) and analyze the accuracy from Unmanned Air Vehicle (UAV) images on river-side facilities. We tried to apply stereo image-based matching technique, then extracted match results were united with one mosaic DSM. The accuracy was verified compared with a DSM derived from LIDAR data. Overall accuracy was around 3m of absolute and root mean square error. As an analysis result, we confirmed that exterior orientation parameters exerted an influence to DSM accuracy. For more accurate DSM generation, accurate EO parameters are necessary and effective interpolation and post process technique needs to be developed. And the damage analysis simulation with DSM has to be performed in the future.

• Spatial Information Research
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• v.11 no.2
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• pp.155-170
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• 2003

Flood inundation analysis system using GIS has been developed to simulate inundation in airport drainage areas. The model developed in this study has been synthetically presented and constructed the preprocess for database construction and input data preparing through a graphic user interface, GUI system and the postprocess processing graphically output resulted in mainprocess analysis model linked GIS(ArcView/Avenue). The mainprocess analysis model was simulated in real phenomenon caused by inflow of storm sewer system by simulation flooding due to backwater effect and surcharged flow in storm sewer system by simulating interaction coupling the overland flow analysis model and storm sewer system analysis model. In the future, the flood inundation analysis system developed in this study will be a great contribution to systematic decision-making for establishing the flood-mitigation management and facilities improvement plan to flooding damage in airport.