• The KIPS Transactions:PartB
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• v.16B no.5
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• pp.367-376
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• 2009

In this paper, we propose a flame detection method using Haar wavelet and moving averages in outdoor infrared video sequences. Our proposed method is composed of three steps which are Haar wavelet decomposition, flame candidates detection, and their tracking and flame classification. In Haar wavelet decomposition, each frame is decomposed into 4 sub- images(LL, LH, HL, HH), and also computed high frequency energy components using LH, HL, and HH. In flame candidates detection, we compute a binary image by thresholding in LL sub-image and apply morphology operations to the binary image to remove noises. After finding initial boundaries, final candidate regions are extracted using expanding initial boundary regions to their neighborhoods. In tracking and flame classification, features of region size and high frequency energy are calculated from candidate regions and tracked using queues, and we classify whether the tracked regions are flames by temporal changes of moving averages.

• Journal of Korea Multimedia Society
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• v.12 no.11
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• pp.1547-1556
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• 2009

In this paper, we propose a flame detection method using region expansions and on-line variances in outdoor infrared video sequences. To segment flame candidates' regions in infrared images, we first, extract initial regions by high threshold values in infrared images and then the segmented regions are expanded to their neighbors with similar high intensity values. The segmented regions could be non-flame areas like bare-grounds and buildings. Therefore, to detect flame regions in the segmented regions, the segmented regions which have high intensity values in infrared image, are tracked using bounding regions in frame sequences. Variances in the tracked regions are calculated effectively by on-line updates to measure intensity variations on the tracked regions. Experiments show that the proposed method, which is based on region expansions and the average of on-line variances in the regions, is efficient to detect flames in infrared image.

• Korean Journal of Optics and Photonics
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• v.25 no.5
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• pp.245-253
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• 2014

We report a realistic field-performance simulation for a new MWIR camera. It is designed for early detection of missile plumes over a distance range of a few hundred kilometers. Both imaging and radiometric performance of the camera are studied by using real-scale integrated ray tracing, including targets, atmosphere, and background scene models. The simulation results demonstrate that the camera would satisfy the imaging and radiometric performance requirements for field operation.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.1
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• pp.63-73
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• 2021

This paper presents a algorithm for automatic target recognition robust to the influence of the flame in order to track the target by EOTS(Electro-Optical Targeting System) equipped on UAV(Unmanned Aerial Vehicle) when there is aerial target or marine target with flame at the same time. The proposed method converts infrared images of targets and flames into a gradient vector field, and applies each gradient magnitude to a polynomial curve fitting technique to extract polynomial coefficients, and learns them in a shallow neural network model to automatically recognize targets and flames. The performance of the proposed technique was confirmed by utilizing the various infrared image database of the target and flame. Using this algorithm, it can be applied to areas where collision avoidance, forest fire detection, automatic detection and recognition of targets in the air and sea during automatic flight of unmanned aircraft.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2012.05a
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• pp.342-349
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• 2012

We study the gap effect on detonating high explosives using the characteristic acoustic impedance theory and numerical simulation. A block of charge embedded with multiple gap inserts is detonated at one end to understand the ensuing flame propagation through multiple gap materials. The present high-order multimaterial simulation provides meaningful validation of complex interface tracking algorithm as it is implemented in the SNU-Hydropack code.

• Proceedings of the Korean Vacuum Society Conference
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• 2014.02a
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• pp.161-161
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• 2014

열플라즈마는 주로 아크 방전에 의해 발생시킨 전자, 이온, 중성입자(원자 및 분자)로 구성된 부분 이온화된 기체로, 국소열평형상태를 유지하여 구성입자가 모두 수천에서 수만도에 이르는 같은 온도를 갖는 고속의 제트 화염 형태를 이루고 있다. 이렇게 고온, 고열용량, 고속, 다량의 활성입자를 갖는 열플라즈마의 특성을 이용하여, 종래 기술에서는 얻을 수 없는 다양하고 효율적인 산업적 이용이 활발히 진행되고 있다. 용사코팅은 노즐 출구를 통해서 외부로 방출되는 열 플라즈마 화염을 이용하는 것으로 이 화염의 와류 특성으로 인하여 외기의 가스가 화염내부로 침투하는 특성을 가진다. 이러한 현상은 열원의 냉각효과 외에도 외기를 구성하는 기체 분자의 내부 유입을 의미하는 것으로 대기 상태에서 공정이 이루어진다면 열원 내로 유입되는 대기 내의 산소가 모재 표면과 반응하여 산화가 진행된다. 이러한 산화과정은 용사 코팅의 품질을 저하시키는 요인이 되므로, W, Ti 등과 같은 반응성이 높은 재료의 코팅은 산화과정을 방지하기 위하여 진공에서 코팅을 하여야만 한다. 진공 플라즈마용사코팅은 진공 또는 저압의 불활성 분위기 중에서 열플라즈마 화염에 용사재료를 투입하여 플라즈마 화염 내부에서 순간적으로 이를 용융시킨 후 고속으로 분출, 모재에 적층시키는 코팅공정이다. 이때 분말상의 용사재료를 고속으로 화염 중심에 투입하여 최대 에너지 전달이 이루어지도록 하는 것이 적층효율 및 코팅품질을 향상에 필수적이다. 하지만 플라즈마 화염 내부를 고속으로 이동하는 입자의 온도와 속도 및 궤적을 측정하여 제어하는 것은 매우 어렵기 때문에, 통상 형성된 코팅의 구조와 두께로부터 경험적으로 파라미터를 결정하는 것이 일반적이다. 본 연구에서는 초고속 레이저 카메라와 이미지 분석용 소프트웨어를 이용하여 플라즈마 화염내의 비행입자 궤적을 추적하고, 이를 통해 분말 이송가스의 유량이 코팅 효율 및 미세구조에 미치는 영향을 조사하였다. 플라즈마 화염은 중심부가 가장 높은 온도와 속도를 가지고 있기 때문에, 분말 이송가스의 유량이 적을 경우 투입된 분말은 단지 플라즈마 화염의 상부 경계면을 지나는 궤적을 갖게된다. 이로 인해 분말의 용융이 충분히 이루어지지 않아 적층 효율이 낮고 미용융 입자 및 기공이 많은 미세구조를 보였다. 이송가스 유량을 증가시키게 되면, 분말의 궤적은 플라즈마 화염의 중심부를 지나게 되어 적층 효율이 증가하고 미세구조 또한 개선되었다. 하지만 이송가스 유량이 지나치게 클 경우, 투입된 분말 입자는 플라즈마 화염을 조기에 관통하게 되어 비행궤적은 온도와 속도가 낮은 영역에 형성되었다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2012.05a
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• pp.304-308
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• 2012

This paper presents a numerical investigation on propagation of hydrocarbon (ethylene-air mixture) detonation in a deformable copper tube. In this study, we deal with interactions of multi-materials, gas and solid. In gas phase, the model consists of the reactive compressible Navier-Stokes equations and one step chemical reaction. Also we use Inviscid Euler equations in solid. In order to the interface tracking and the determination of boundary values, our model handle level-set and ghost fluid method. Through the numerical simulation results, we identify generations of expansion waves and interferences by the wall deformation. In addition, we predict the minimum copper tube thickness that ensures safety under an incident detonation.

• Fire Science and Engineering
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• v.32 no.6
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• pp.40-45
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• 2018

The omnidirectional surveillance camera uses the object detection algorithm to level the object by unit so that broadband surveillance can be performed using a fisheye lens and then, it was a field experiment with a system composed of an omnidirectional surveillance camera and a tracking (PTZ) camera. The omnidirectional surveillance camera accurately detects the moving object, displays the squarely, and tracks it in close cooperation with the tracking camera. In the field test of flame detection and temperature of the sensing camera, when the flame is detected during the auto scan, the detection camera stops and the temperature is displayed by moving the corresponding spot part to the central part of the screen. It is also possible to measure the distance of the flame from the distance of 1.5 km, which exceeds the standard of calorific value of 1 km 2,340 kcal. In the performance test of detecting the flame along the distance, it is possible to be 1.5 km in width exceeding $56cm{\times}90cm$ at a distance of 1km, and so it is also adaptable to forest fire. The system is expected to be very useful for safety such as prevention of intrinsic or surrounding fire and intrusion monitoring if it is installed in a petroleum gas storage facility or a storing place for oil in the future.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.3
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• pp.159-164
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• 2019

Detecting wildfire using only color in image information is a very difficult issue. This paper proposes an algorithm to detect forest fire area by analyzing color and motion of the area in the video including forest fire. The proposed algorithm removes the background region using the Gaussian Mixture based background segmentation algorithm, which does not depend on the lighting conditions. In addition, the RGB channel is changed to an HSV channel to extract flame candidates based on color. The extracted flame candidates judge that it is not a flame if the area moves while labeling and tracking. If the flame candidate areas extracted in this way are in the same position for more than 2 minutes, it is regarded as flame. Experimental results using the implemented algorithm confirmed the validity.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2017.05a
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• pp.664-671
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• 2017

This paper presents a numerical analysis of behaviors of rear closer of vertical launch system under rocket plume based on fluid structure interaction analysis. The rocket plume loading is modeled by fully Eulerian method and elasto-plastic behavior of rear cover is calculated by total Lagrangian method based on a 9-node planar element. The interface motion and boundary conditions are described by a hybrid particle level-set method within the ghost fluid framework. We compare the fluid flow pattern between different rear closer models which are elast-plastic and rigid deformation.