• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2004년도 춘계 학술대회논문집
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• pp.126-131
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• 2004

The interaction between the hypersonic free stream and the side jet flow at high altitudes is investigated by direct simulation Monte Carlo(DSMC) method. Since there is a great difference in density between the free stream and the side jet flow, the weighting factor technique which could control the number of simulation particles, is applied to calculate these two flows simultaneously. Chemical reactions are not considered in the calculation. For validation, the corner flow passing between a pair of plates that are perpendicularly attached is solved. The side jet flow is then injected into this comer flow and solution is found for the merged flow. Results are compared with the experiments. For a more realistic rocket model, the flow past a blunted cone cylinder shape is solved. The leeward or windward jet injection is merged with this flow. The effect on the rocket surface is observed at various flow angles. The lambda effect and the wake structure are found like low attitudes. High interaction between the free stream and the side jet flow is observed when the side jet is injected in the windward direction.

• 한국대기환경학회지
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• 제21권2호
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• pp.179-189
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• 2005

Recently air quality modeling studies for industrial complex and large cities located in the coastal regions have been carried out. Especially, the representation of atmospheric flow fields within a model domain is very important, because an adequate air quality simulation requires an accurate portrayal of the realistic three -dimensional wind fields. Therefore this study investigated effect of using high resolution terrain height data in numerical simulation. So the experiments were designed according to the detail terrain height with 3second resolution or not. Case 30s was the experiment using the terrain height data of USGS and Case 3s was the other using the detail terrain height data of Ministry of Environment. The results of experimental were more remarkable. In Case 3s, temperature indicated similar tendency comparing to observational data predicting maximum temperature during the daytime and wind speed made weakly for difference of terrain height.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제18권2호
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• pp.181-192
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• 2014

In this paper, we propose a robust real-time myocardial border tracking algorithm for echocardiography. Commonly, after an initial contour of LV border is traced at one or two frame from the entire cardiac cycle, LV contour tracking is performed over the remaining frames. Among a variety of tracking techniques, optical flow method is the most widely used for motion estimation of moving objects. However, when echocardiography data is heavily corrupted in some local regions, the errors bring the tracking point out of the endocardial border, resulting in distorted LV contours. This shape distortion often occurs in practice since the data acquisition is affected by ultrasound artifacts, dropout or shadowing phenomena of cardiac walls. The proposed method deals with this shape distortion problem and reflects the motion realistic LV shape by applying global deformation modeled as affine transform partitively to the contour. We partition the tracking points on the contour into a few groups and determine each affine transform governing the motion of the partitioned contour points. To compute the coefficients of each affine transform, we use the least squares method with equality constraints that are given by the relationship between the coefficients and a few contour points showing good tracking results. Many real experiments show that the proposed method supports better performance than existing methods.

• 한국멀티미디어학회논문지
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• 제20권5호
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• pp.769-781
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• 2017

Deep learning networks like Convolutional Neural Networks (CNNs) show successful performances in many computer vision applications such as image classification, object detection, and so on. For implementation of deep learning networks in embedded system with limited processing power and memory, deep learning network may need to be simplified. However, simplified deep learning network cannot learn every possible scene. One realistic strategy for embedded deep learning network is to construct a simplified deep learning network model optimized for the scene images of the installation place. Then, automatic training will be necessitated for commercialization. In this paper, as an intermediate step toward automatic training under fisheye camera environments, we study more precise human localization in fisheye images, and propose an accurate human localization method, Automatic Ground-Truth Labelling Method (AGTLM). AGTLM first localizes candidate human object bounding boxes by utilizing GoogLeNet-LSTM approach, and after reassurance process by GoogLeNet-based CNN network, finally refines them more correctly and precisely(tightly) by applying saliency object detection technique. The performance improvement of the proposed human localization method, AGTLM with respect to accuracy and tightness is shown through several experiments.

• 한국군사과학기술학회지
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• 제26권1호
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• pp.44-53
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• 2023

Adversarial attacks have received great attentions for their capacity to distract state-of-the-art neural networks by modifying objects in physical domain. Patch-based attack especially have got much attention for its optimization effectiveness and feasible adaptation to any objects to attack neural network-based object detectors. However, despite their strong attack performance, generated patches are strongly perceptible for humans, violating the fundamental assumption of adversarial examples. In this paper, we propose a camouflaged adversarial patch optimization method using military camouflage assessment metrics for naturalistic patch attacks. We also investigate camouflaged attack loss functions, applications of various camouflaged patches on army tank images, and validate the proposed approach with extensive experiments attacking Yolov5 detection model. Our methods produce more natural and realistic looking camouflaged patches while achieving competitive performance.

• Composites Research
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• 제23권4호
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• pp.28-34
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• 2010

본 논문에서는 일방향 케블라/에폭시 튜브에 대한 현실적인 트리거 모델링을 개발하기 위해 수치해석 모델이 확립하고 시험결과와 비교를 통해 검증하였다. 이를 위해, 4가지 트리거 모델을 제안하고 각각에 대해 상용 외연적 해석 프로그램인 LS-DYNA을 이용하여 유한요소 해석을 통해 축방향 압괴특성을 규명하였다. 유한요소해석에서는 2D 쉘요소와 Chang-Chang 파손기준식을 이용하였다. 또한, 해석에 적용된 소재의 기계적 물성치는 시험을 통해 얻었다. 해석모델은 원형 튜브에 대한 10mm/min의 준정적 압괴시험결과와 비교를 통해 검증하였다. 그 결과 케블라/에폭시 튜브의 하중-변위 곡선은 거의 일치했으며 무게당 흡수 에너지 (SEA)도 5% 미만의 오차에서 잘 일치하였다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.1053-1056
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• 2008

콘크리트의 투수계수는 콘크리트 구조물의 내구성능 및 미세구조의 밀실성을 판단하는 핵심적인 재료 매개변수이다. 투수계수를 산정하기 위한 많은 연구들이 있었으나, 시멘트 페이스트 및 골재 각각이 콘크리트의 투수성능에 미치는 영향을 다룬 연구는 드물다. 더우기, 탄산화가 염소이온의 확산계수에 큰 영향을 미칠 수 있음에도 불구하고, 탄산화된 콘크리트에 대한 확산계수를 다룬 연구는 더욱 드문 실정이다. 본 연구의 목적은 탄산화 및 비탄산화된 콘크리트의 투수계수를 추정할 수 있는 기초적 접근방법을 개발하는 것이다. 본 연구에서는 미세구조 모델 및 시멘트의 경화특성을 기초로 투수계수를 산정할 수 있는 해석적 기법이 개발되었다. 본 연구에서는 시간단계별로 변화하는 투수계수의 해석과 중성화된 콘크리트의 투수계수이다. 탄산화된 콘크리트에서 감소된 공극량이 계산되었으며 이는 투수계수의 산정에 이용되었다. 본 연구결과는 실험적 결과를 얻어서 상호 비교하여 검증하였다.

• 한국환경과학회지
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• 제14권3호
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• pp.297-309
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• 2005

Recently air quality modeling studies for industrial complex and large cities located in the coastal regions have been carried out Especially, the representation of atmospheric flow fields within a model domain is very important, because an adequate air quality simulation requires an accurate portrayal of the realistic three­dimensional wind fields. Therefore this study investigated effect of using high resolution terrain height data and FDDA with observational data to reflect local characteristics in numerical simulation. So the experiments were designed according to FDDA and the detail terrain height with 3sec resolution or not Case 30s was the experiment using the terrain height data of USGS without FDDA and Case 3s was the experiment using the detail terrain height data of Ministry of Environment without FDDA and Case 3sF was experiment using the detail terrain height data of Ministry of Environment with FDDA. The results of experiments were more remarkable, In Case 3s and Case 3sF, temperature indicated similar tendency comparing to observational data predicting maximum temperature during the daytime and wind speed made weakly for difference of terrain height Also Case 3sF had more adequate tendency than Case 3s at dawn.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.372-377
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• 2007

For more than 2,500 years, surgical teaching has been based on the so called "see one, do one, teach one" paradigm, in which the surgical trainee learns by operating on patients under close supervision of peers and superiors. However, higher demands on the quality of patient care and rising malpractice costs have made it increasingly risky to train on patients. Minimally invasive surgery, in particular, has made it more difficult for an instructor to demonstrate the required manual skills. It has been recognized that, similar to flight simulators for pilots, virtual reality (VR) based surgical simulators promise a safer and more comprehensive way to train manual skills of medical personnel in general and surgeons in particular. One of the major challenges in the development of VR-based surgical trainers is the real-time and realistic simulation of interactions between surgical instruments and biological tissues. It involves multi-disciplinary research areas including soft tissue mechanical behavior, tool-tissue contact mechanics, computer haptics, computer graphics and robotics integrated into VR-based training systems. The research described in this paper addresses the problem of characterizing soft tissue properties for medical virtual environments. A system to measure in vivo mechanical properties of soft tissues was designed, and eleven sets of animal experiments were performed to measure in vivo and in vitro biomechanical properties of porcine intra-abdominal organs. Viscoelastic tissue parameters were then extracted by matching finite element model predictions with the empirical data. Finally, the tissue parameters were combined with geometric organ models segmented from the Visible Human Dataset and integrated into a minimally invasive surgical simulation system consisting of haptic interface devices and a graphic display.

• 한국해양환경ㆍ에너지학회지
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• 제3권2호
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• pp.25-32
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• 2000

내화용 오일붐은 해상누유사고시 누유현장소각기술에 있어서 핵심적인 방제장비이다. 본 논문에서는 내화용 오일붐의 성능평가기법으로 전기로시험과 수조시험을 제안하였다. 전기로시험에는 내화용 재질의 내화성을 평가하며, 수조시험에서는 실제 현장소각시에 화염에 노출된 내화용 오일붐의 상태를 최대한 모사하였다. 수조시험장비는 유조, 내화용 오일붐 모형, 연소가스 흡입을 위한 후드, 소각로와 온도계 등으로 구성된다. 본 연구에서 개발된 내화용 오일붐에 대하여 성능평가를 수행한 결과, 화염온도 800℃에 대하여 견딜 수 있음을 확인할 수 있었다. 본 연구의 성능평가기법이 실제 해상에서 사용할 수 있는 내화용 오일붐에 대하여 적용할 수 있기 위해서는 보다 더 높은 측도의 시험시설 및 장시간의 실험이 요구된다.