• 한국측량학회지
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• 제37권5호
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• pp.351-357
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• 2019

UAV (Unmanned Aerial Vehicle) images can be exploited for rapid forest fire damage assessment by virtue of UAV systems' advantages. In 2019, catastrophic forest fire occurred in Goseong and Sokcho, Korea and burned 1,757 hectares of forests. We visited the town in Goseong where suffered the most severe damage and conducted UAV flights for forest fire damage assessment. In this study, economic and rapid damage assessment method for forest fire has been proposed using UAV systems equipped with only a RGB sensor. First, forest masking was performed using automatic elevation thresholding to extract forest area. Then ExG (Excess Green) vegetation index which can be calculated without near-infrared band was adopted to extract damaged forests. In addition, entropy filtering was applied to ExG for better differentiation between damaged and non-damaged forest. We could confirm that the proposed forest masking can screen out non-forest land covers such as bare soil, agriculture lands, and artificial objects. In addition, entropy filtering enhanced the ExG homogeneity difference between damaged and non-damaged forests. The automatically detected damaged forests of the proposed method showed high accuracy of 87%.

• 정보교육학회논문지
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• 제8권1호
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• pp.125-137
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• 2004

본 연구의 목적은 웹 기반 수행평가의 문제중심별 상황학습에 따른 제작, 실시, 채점 및 전송과정을 통하여 교수자의 현장운영 및 학습자의 자기주도적 학습과 상호작용 증진을 통한 교수-학습의 효과를 증대시키는데 있다. 이를 위해 학교현장의 효율적 운영과 학습효과를 위한 구성주의적 문제중심학습(PBL)과 웹 기반 학습공동체 중심의 상황학습을 반영한 웹기반 수행평가 설계모형을 개발하였다. 웹 기반 제작은 자동제작을 통해 문제중심의 자기주도적 학습이 이루어지며, 상황학습을 적용한 템플릿 제작에서는 구체적 사례 기반의 맥락에 따른 학습이 수행된다.

• 한국철도학회논문집
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• 제15권4호
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• pp.334-342
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• 2012

유라시아 대륙에는 다양한 궤간이 존재하고 있다. 이런 차이는 서로 다른 궤간의 접속점에서 화물을 환적하거나 혹은 차량 운행 조립체를 교환하여야 하는 등 철도수송 시스템의 운영에 많은 영향을 준다. 그러므로, 철도 수송 시스템의 효율성은 복잡한 하역 및 교환 기술에 관련된 궤간 극복 방법에 매우 의존한다. 본 논문은 대륙철도 연결을 통한 국제 화물 수송에서 발생되는 1520/1435mm 궤간차이를 극복하기 위한 철도 수송 시스템의 효율성 평가를 목적으로 하였다. 먼저 궤간 변경지점에서 현재 수행되고 있는 수송 시스템을 간략하게 설명하고, 교환 기술에 대한 사전 분석을 수행하였다. LCC 모델에 기초하여 리프트에 의한 대차교환 방식과 자동궤간가변 시스템의 효율성을 비교평가 하였다.

• 한국수자원학회논문집
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• 제51권9호
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• pp.803-812
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• 2018

본 연구는 다목적함수를 고려한 입자군집최적화(Particle Swarm Optimization, PSO) 알고리즘을 Python으로 개발하고, Soil and Water Assessment Tool (SWAT) 모형에 적용하여 자동보정 알고리즘의 적용 가능성을 평가하였다. SWAT 모형의 유출 해석은 안성천의 공도 수위 관측소 상류유역($364.8km^2$)을 대상으로 하였으며, 공도 지점의 2000년부터 2015년까지의 일 유량 자료를 이용하였다. PSO 자동보정은 결정계수(coefficient of determination, $R^2$), 평균제곱근오차(RMSE), NSE 모형효율계수(Nash-Sutcliffe Efficiency, $NSE_Q$), 특히 중간유출과 기저유출의 보정을 위해 $NSE_{INQ}$ (Inverse Q)를 활용하여 SWAT을 보정하였다. PSO을 통한 SWAT 모형의 자동보정과 수동보정의 유출해석 결과, 각각 $R^2$는 0.64, 0.55, RMSE는 0.59, 0.58, $NSE_Q$는 0.78, 0.75, $NSE_{INQ}$는 0.45, 0.09의 상관성 분석결과를 보였다. PSO 자동보정 알고리즘은 수동보정에 비하여 높은 향상을 보였는데 특히 유출의 감수곡선을 개선시켰으며 적절한 매개변수 추가(RCHRG_DP)와 매개변수 범위의 설정으로 수동보정의 한계를 보완하였다.

• 생태와환경
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• 제43권2호
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• pp.338-344
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• 2010

상수원 및 수계의 수질관리 업무를 효율적이고 능동적으로 수행하고, 수질오염사고 발생시 신속한 대응조치를 할 수 있는 조기경보체계 구축을 위하여 주요 상수원 및 하천 등에 수질자동측정망을 설치하여 운영하고 있다. 수온, pH, EC, DO, TOC 항목에 대한 정도평가를 실시하여, 수질자동 측정 자료에 대한 정확도를 확보하여 신뢰도를 제고하고자 하였다. 수질자동측정기기와 수동측정기기에 대한 측정값을 비교한 결과, 대체로 일반항목(수온, pH, EC, DO) 및 TOC의 상대정확도가 20% 이내의 목표를 만족하였다. 그러나 수질자동측정소의 저류수조의 측정기기(내부)와 채수지점의 측정기기(외부)의 측정값 차이를 분석한 결과, 채수거리가 먼 측정소의 DO에 대한 내부-외부의 상대정확도는 목표값을 다소 벗어나는 것으로 나타났다. 채수관로에 조류 및 미생물 부착에 의한 오염이 원인으로 판단되어 역세척하여 측정한 결과, 측정된 DO 농도는 최대 53%까지 상승하는 효과를 나타냈다. 따라서 채수관로 관리가 수질자동측정 자료의 신뢰성을 확보하는데 중요함을 알 수 있었다.

• Journal of Computing Science and Engineering
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• 제8권2호
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• pp.119-128
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• 2014

The appearance of retinal blood vessels is an important diagnostic indicator of serious disease, such as hypertension, diabetes, cardiovascular disease, and stroke. Automatic segmentation of the retinal vasculature is a primary step towards automatic assessment of the retinal blood vessel features. This paper presents an automated method for the enhancement and segmentation of blood vessels in fundus images. To decrease the influence of the optic disk, and emphasize the vessels for each retinal image, a multidirectional morphological top-hat transform with rotating structuring elements is first applied to the background homogenized retinal image. Then, an improved multiscale line detector is presented to produce a vessel response image, and yield the retinal blood vessel tree for each retinal image. Since different line detectors at varying scales have different line responses in the multiscale detector, the line detectors with longer length produce more vessel responses than the ones with shorter length; the improved multiscale detector combines all the responses at different scales by setting different weights for each scale. The methodology is evaluated on two publicly available databases, DRIVE and STARE. Experimental results demonstrate an excellent performance that approximates the average accuracy of a human observer. Moreover, the method is simple, fast, and robust to noise, so it is suitable for being integrated into a computer-assisted diagnostic system for ophthalmic disorders.

• 대한전기학회논문지:전력기술부문A
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• 제53권12호
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• pp.678-684
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• 2004

Automatic reclosing is a typical protection method in power distribution systems for clearing the temporary faults. However, it has a fatal weakness in regards to voltage sags because it produces successive voltage sags. In this paper, we explored successive impact of voltage sag due to the automatic reclosing of power distribution systems. The actual tests of low voltage loads were accomplished for obtaining the susceptibility of voltage sags. The final results of the test yielded power acceptability curves of voltage sag, and the curves were transformed the 3-dimensional CBEMA(Computer Business Equipment Manufacturer Association) format. For the quantitative evaluation of the impact of successive voltage sags, an assessment formulation using the voltage sag contour was proposed. The proposed formulation was tested by using the voltage sag contour data of IEEE standard and the results of the test. Through the case studies, we verified that the proposed method can be effectively used to evaluate the actual impact of successive voltage sans.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권2호
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• pp.837-856
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• 2016

Underwater image enhancement has received considerable attention in last decades, due to the nature of poor visibility and low contrast of underwater images. In this paper, we propose a new automatic underwater image enhancement algorithm, which combines nonsubsampled contourlet transform (NSCT) domain enhancement techniques with the mechanism of the human visual system (HVS). We apply the multiscale retinex algorithm based on the HVS into NSCT domain in order to eliminate the non-uniform illumination, and adopt the threshold denoising technique to suppress underwater noise. Our proposed algorithm incorporates the luminance masking and contrast masking characteristics of the HVS into NSCT domain to yield the new HVS-based NSCT. Moreover, we define two nonlinear mapping functions. The first one is used to manipulate the HVS-based NSCT contrast coefficients to enhance the edges. The second one is a gain function which modifies the lowpass subband coefficients to adjust the global dynamic range. As a result, our algorithm can achieve contrast enhancement, image denoising and edge sharpening automatically and simultaneously. Experimental results illustrate that our proposed algorithm has better enhancement performance than state-of-the-art algorithms both in subjective evaluation and quantitative assessment. In addition, our algorithm can automatically achieve underwater image enhancement without any parameter tuning.

• KIEE International Transactions on Power Engineering
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• 제5A권3호
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• pp.293-299
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• 2005

Automatic reclosing is a typical protection method in power distribution systems for the clearing of temporary faults. However, it has a fatal weakness in regards to voltage sags because it produces repetitive voltage sags. In this paper, we explored the repetitive impact of voltage sag due to the automatic reclosing of power distribution systems. The actual tests of low voltage loads were carried out for obtaining the susceptibility of voltage sags. The final results of the tests yielded power acceptability curves of voltage sag, and the curves transformed the 3-dimensional CBEMA (Computer Business Equipment Manufacturer Association) format. For the quantitative evaluation of the impact of repetitive voltage sags, an assessment formulation using the voltage sag contour was proposed. The proposed formulation was tested by using the voltage sag contour data of IEEE standard and the results of the test. Through the case studies, we verified that the proposed method can be effectively used to evaluate the actual impact of repetitive voltage sags.

• 대한원격탐사학회지
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• 제19권5호
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• pp.393-402
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• 2003

In times of the civil uses of commercialized high-resolution satellite imagery, applications of remote sensing have been widely extended to the new fields or the problem solving beyond traditional application domains. Transportation application of this sensor data, related to the automatic or semiautomatic road extraction, is regarded as one of the important issues in uses of remote sensing imagery. Related to these trends, this study focuses on automatic road extraction using Gradient Direction Profile Algorithm (GDPA) scheme, with IKONOS panchromatic imagery having 1 meter resolution. For this, the GDPA scheme and its main modules were reviewed with processing steps and implemented as a prototype software. Using the extracted bi-level image and ground truth coming from actual GIS layer, overall accuracy evaluation and ranking error-assessment were performed. As the processed results, road information can be automatically extracted; by the way, it is pointed out that some user-defined variables should be carefully determined in using high-resolution satellite imagery in the dense or low contrast areas. While, the GDPA method needs additional processing, because direct results using this method do not produce high overall accuracy or ranking value. The main advantage of the GDPA scheme on road features extraction can be noted as its performance and further applicability. This experiment study can be extended into practical application fields related to remote sensing.