• Journal of Radiation Protection and Research
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• v.38 no.4
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• pp.208-213
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• 2013

The suitability of the site criteria is a basic requirement for securing safety of nuclear power plants. The suitability should be confirmed through the estimation of environmental radiation effects at the exclusion area boundary under the severe weather conditions. In this study, field tracer experiments over short range of 1 km radius under severe weather conditions were conducted at flat area in Daejeon. Severe weather conditions are represented with stable atmospheric condition and low wind speed. In general, the condition is appeared at clean night time with weak wind. The analysis of the measured distribution of the released tracer gas shows two big differences between the results of the past experiments conducted under the favorable weather conditions. One is the difficulty of finding the typical distribution of the released tracer gas with peak concentration in the downwind direction. The other one is the appearance of the contour of the concentration of tracer gas at several hundred meters even though the gas released at 10 m height over the ground.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1802-1808
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• 2003

In this paper, we propose a method about the extraction of the pedestrian tracking trajectory in the road and we used the method of mosaic background extraction and adaptive neural network for automatic pedestrian tracking system. We used mosaic background extraction to overcome ghost phenomenon. And we detected pedestrian using differential image analysis. We used adaptive neural network for multiple pedestrian tracking that non­rigid form moving. The ART2 network is capable of detecting the mass­centers of moving objects within one frame. The history of neurons positions in the sequential frames approximates the traces of the targets. The experiments done with the network in simulated environment show promising results.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.79-81
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• 2018

최근 딥 러닝의 발전과 함께 보행자 검출 기술의 성능이 발전하면서 다양한 분야에서 응용되고 있다. 영상 내 보행자의 위치나 움직임을 파악함으로써 위험 지역이나 보안 지역에 접근하는 보행자를 찾아낼 수 있다. 일반적인 딥 러닝 기반의 물체 검출기는 멀리 있는 보행자와 같은 작은 물체를 검출 하는 데에 적합하지 않다. 또, 검출을 수행하기 위해서 큰 계산량을 필요로 하기 때문에, 동영상의 매 프레임 마다 수행하기 부적합 하다는 단점이 있다. 본 논문에서는 작은 물체도 잘 검출할 수 있도록 기존 YOLO 네트워크의 구조를 변경하고, 보행자 데이터를 이용하여 추가로 학습함으로써 보행자를 검출하는 성능을 증가시켰다. 그리고 검출한 보행자들에 대해 추적 기법을 이용함으로써, 동영상의 매 프레임 마다 검출을 수행하는 것을 피할 수 있도록 하였다. 실제로 DukeMTMC Dataset을 이용하여 실험을 해본 결과, YOLO 네트워크의 구조를 변경하고 추가 학습을 함으로써 검출 정확도가 개선되는 것을 확인할 수 있었다. 또, 추적 기법을 이용했을 때, 성능이 크게 떨어지지 않으면서 검출 속도를 개선할 수 있는 것을 확인할 수 있었다.

• Journal of Korea Water Resources Association
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• v.43 no.2
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• pp.153-165
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• 2010

Large-Scale Particle Image Velocimetry (LSPIV) is an extension of particle image velocimetry (PIV) for measurement of flows spanning large areas in laboratory or field conditions. LSPIV is composed of six elements - seeding, illumination, recording, image transformation, image processing, postprocessing - based on PIV. Possible error elements at each step of Mobile LSPIV (MLSPIV), which is a mobile version of LSPIV, in field applications are identified and summarized the effect of the errors which were quantified in the previous studies. The total number of elemental errors is 27, and five error sources were evaluated previously, seven elemental errors are not effective to the current MLSPIV system. Among 15 elemental errors, four errors - sampling time, image resolution, tracer, and wind - are investigated through an experiment at a laboratory to figure out how those errors affect to velocity calculation. The analysis to figure out the effect of the number of images used for image processing on the velocity calculation error shows that if over 50 images or more are used, the error due to it goes below 1 %. The effect of the image resolution on velocity calculation was investigated through various image resolution using digital camera. Low resolution image set made 3 % of velocity calculation error comparing with high resolution image set as a reference. For the effect of tracers and wind, the wind effect on tracer is decreasing remarkably with increasing the flume bulk velocity. To minimize the velocity evaluation error due to wind, tracers with high specific gravity is favorable.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.4
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• pp.812-820
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• 2012

In this paper, multiple pedestrians tracking system using Histogram of Oriented Gradient and occlusion detection is proposed. The proposed system is applicable to Intelligent Surveillance System. First, we detect pedestrian in a image sequence using pedestrian's feature. To get pedestrian's feature, we make block-histogram using gradient's direction histogram based on HOG(Histogram of Oriented Gradient), after that a pedestrian region is classified by using Linear-SVM(Support Vector Machine) training. Next, moving objects are tracked by using position information of the classified pedestrians. And we create motion trajectory descriptor which is used for content based event retrieval. The experimental results show that the proposed method is more fast, accurate and effective than conventional methods.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.11b
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• pp.605-610
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• 1996

영광 원전부지에서 미시규모 기상현상 파악, 대기확산 특성연구, 실시간 수치모델의 검증을 목적으로 국내에서 처음으로 대규모 학술목적의 야외확산실증을 수행하였다. 1996년 5월 29일과 30일 양일간 두차례 추적자방출 및 포집을 실시하였다. SODAR를 이용한 고공기상측정 결과 해륙풍현상을 발견할 수 있었으며, 추적자 농도분포 분석결과 최대 농도값이 나타나는 방향이 거리에 따라 고도별 풍향변화에 영향을 받고 있음을 발견하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.477-477
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• 2011

본 연구에서는 연안내 오염물질 이동 및 확산 특성을 파악하기 위하여 실내조파모형장치를 제작하고 Nacl을 이용한 염료실험을 실시하였다. 제작된 실내조파모형장치를 이용하여 재현된 조석파는 주기 2초, 파고 3cm의 일정한 주기와 파고를 형성하는 규칙파로 재현하였다. 또한 반사파의 영향을 최소화하기 위하여 상류단에 감쇄역을 설치하였으며 유속의 변화에 따른 염료의 이동 확산특성을 분석하기 위하여 동일조건에서 유속변화를 달리하여 2회 실험하였다. 또한 추적자로 사용된 Nacl은 실험전 일정한 농도로 희석하여 사용하였으며 추적자의 실시간 농도관측을 위하여 세창인스트루먼트 제품 CPC-401(휴대형 다항목 측정장치)을 방출지점에서 일정한 간격으로 4개 지점에 설치하여 1초간격의 농도데이터를 수집하였다. 수집된 CPC-401의 농도데이터 분석결과 염료의 이동 방향은 방출지점에서 하류단 지점으로 이동하였으며 유속의 변화에 따른 최대농도 값의 변화는 적었으나 염료의 지속시간 변화는 뚜렸하게 나타났다. 이는 난류확산 보다는 유속 변화로 인한 이류가 크게 작용함을 알 수 있었다.

• Journal of Korea Water Resources Association
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• v.54 no.5
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• pp.335-345
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• 2021

The one-dimensional solute transport models have been developed for recent decades to predict behavior and fate of solutes in rivers. Transient storage model (TSM) is the most popular model because of its simple conceptualization to consider the complexity of natural rivers. However, the TSM is highly dependent on its parameters which cannot be directly measured. In addition, the TSM interprets the late-time behavior of concentration curves in the shape of an exponential function, which has been evaluated as not suitable for actual solute behavior in natural rivers. In this study, we suggested a stochastic approach to the solute transport analysis. We delineated the model development and model application to a natural river, and compared the results of the proposed model to those of the TSM. To validate the proposed model, a tracer test was carried out in the 4.85 km reach of Gam Creek, one of the first-order tributaries of Nakdong River, South Korea. As a result of comparing the power-law slope of the tail of breakthrough curves, the simulation results from the stochastic storage model yielded the average error rate of 0.24, which is more accurate than the 14.03 and 1.87 from advection-dispersion model and TSM, respectively. This study demonstrated the appropriateness of the power-law residence time distribution to the hyporheic zone of the Gam Creek.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2010.05a
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• pp.179-180
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• 2010

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.04a
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• pp.185-186
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• 1999