• Title/Summary/Keyword: 적외선 탐색

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An Experimental Study of Film Cooling Characteristics at Supersonic Free Stream Conditions (초음속 주유동 환경에서의 막냉각 특성 시험 연구)

  • Kim, Manshik;Lee, Dong Min
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.4
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    • pp.342-348
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    • 2017
  • In this paper, film cooling characteristics at supersonic free stream conditions were examined experimentally by applying an IR-thermography. Film cooling experiments were carried out in a free-jet facility at Mach number of 3.0 and with unit Reynolds number of $42.53{\times}10^6$ and $69.35{\times}10^6$ using wedge shaped film cooling model which has a converging film cooling nozzle. Film cooling efficiency was calculated by measuring the surface temperature of PEEK(Polyether Ether Ketone) and the effects of angle of attack and blowing ratios on the film cooling efficiency were examined. The measured wall temperature was significantly reduced by the film cooling flow compared with the results without the film cooling flow. The usefulness of film cooling was also confirmed by the surface heat flux calculated using the surface temperature history of PEEK. As the blowing ratio increases the protected area of PEEK was also expanded along the direction of free stream and film cooling flow.

Small Target Detection Method Using Bilateral Filter Based on Surrounding Statistical Feature (주위 통계 특성에 기초한 양방향 필터를 이용한 소형 표적 검출 기법)

  • Bae, Tae-Wuk;Kim, Young-Taeg
    • Journal of Korea Multimedia Society
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    • v.16 no.6
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    • pp.756-763
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    • 2013
  • Bilateral filter (BF), functioning by two Gaussian filters, domain and range filter is a nonlinear filter for sharpness enhancement and noise removal. In infrared (IR) small target detection field, the BF is designed by background predictor for predicting background not including small target. For this, the standard deviations of the two Gaussian filters need to be changed adaptively in background and target region of an infrared image. In this paper, the proposed bilateral filter make the standard deviations changed adaptively, using variance feature of mean values of surrounding block neighboring local filter window. And, in case the variance of mean values for surrounding blocks is low for any processed pixel, the pixel is classified to flat background and target region for enhancing background prediction. On the other hand, any pixel with high variance for surrounding blocks is classified to edge region. Small target can be detected by subtracting predicted background from original image. In experimental results, we confirmed that the proposed bilateral filter has superior target detection rate, compared with existing methods.

Real-Time Object Detection System Based on Background Modeling in Infrared Images (적외선영상에서 배경모델링 기반의 실시간 객체 탐지 시스템)

  • Park, Chang-Han;Lee, Jae-Ik
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.4
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    • pp.102-110
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    • 2009
  • In this paper, we propose an object detection method for real-time in infrared (IR) images and PowerPC (PPC) and H/W design based on field programmable gate array (FPGA). An open H/W architecture has the advantages, such as easy transplantation of HW and S/W, support of compatibility and scalability for specification of current and previous versions, common module design using standardized design, and convenience of management and maintenance. Proposed background modeling for an open H/W architecture design decreases size of search area to construct a sparse block template of search area in IR images. We also apply to compensate for motion compensation when image moves in previous and current frames of IR sensor. Separation method of background and objects apply to adaptive values through time analysis of pixel intensity. Method of clutter reduction to appear near separated objects applies to median filter. Methods of background modeling, object detection, median filter, labeling, merge in the design embedded system execute in PFC processor. Based on experimental results, proposed method showed real-time object detection through global motion compensation and background modeling in the proposed embedded system.

Effect of Combined Environmental Factors on Adhesive Shear Strengths and Chemical Structures of Adhesives (복합적 환경인자의 영향에 의한 접착제의 접착전단강도 및 화학구조 변화)

  • Hwang, Young-Eun;Yoon, Sung-Ho
    • Composites Research
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    • v.24 no.1
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    • pp.31-36
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    • 2011
  • Adhesive shear strengths of the established adhesives and the alternative adhesives were evaluated and their chemical structures were analyzed in order to investigate the possibility of replacing the established adhesives with the alternative adhesives applicable to the seeker for the guided missiles. Two types of the adhesives such as the structural adhesives and the sealant adhesives were considered. Those adhesives were exposed to the combined environmental factors consisting of temperature, moisture and ultraviolet over 1000 hours. Adhesive shear test was conducted to evaluate adhesive shear strengths and ATR FT-IR was utilized to investigate chemical structures. According to the results, the adhesive shear strengths of the alternative adhesives revealed higher than those of the established adhesives. Also the alternative adhesives were more stable to the combined environmental condition than the established adhesives. Therefore, it is found that the established adhesives were able to be replaced by the alternative adhesives.

The Design for Self-care System Based on RFID (RFID를 이용한 Self-care System 설계)

  • Xiao, Huang;Zhou, Kun-Peng;Jin, Woo-Jeong;Cho, Yong-Soon;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.879-881
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    • 2010
  • For the rapid development of society, such as small family, one-people family is following. The traditional family is being changed, so the older stay home alone. That makes it more and more. Staying home alone, the older's health and safety are worth considering by us. With the rapid development of RFIDRadio Frequency Identification) technology, its applications have extended to all areas of our lifes. RFIDRadio Frequency Identification) has became a major topic of concern in multi-industry. With the high-speed economic growth and the development of science, medicine, the old people's life expectancy is increasing slightly. So it is necessary to design a protective system for the older's safety. In this thesis, self-care system is made by using RFID(Radio Frequency Identification) technology to authenticate an user and using TTS(test to speech) to convert character information to voice information and also using infrared radiation technology to protect home effectively, and using e-blood pressure monitors to examination the older's bodies.

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Design of Face with Mask Detection System in Thermal Images Using Deep Learning (딥러닝을 이용한 열영상 기반 마스크 검출 시스템 설계)

  • Yong Joong Kim;Byung Sang Choi;Ki Seop Lee;Kyung Kwon Jung
    • Convergence Security Journal
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    • v.22 no.2
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    • pp.21-26
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    • 2022
  • Wearing face masks is an effective measure to prevent COVID-19 infection. Infrared thermal image based temperature measurement and identity recognition system has been widely used in many large enterprises and universities in China, so it is totally necessary to research the face mask detection of thermal infrared imaging. Recently introduced MTCNN (Multi-task Cascaded Convolutional Networks)presents a conceptually simple, flexible, general framework for instance segmentation of objects. In this paper, we propose an algorithm for efficiently searching objects of images, while creating a segmentation of heat generation part for an instance which is a heating element in a heat sensed image acquired from a thermal infrared camera. This method called a mask MTCNN is an algorithm that extends MTCNN by adding a branch for predicting an object mask in parallel with an existing branch for recognition of a bounding box. It is easy to generalize the R-CNN to other tasks. In this paper, we proposed an infrared image detection algorithm based on R-CNN and detect heating elements which can not be distinguished by RGB images.

A Study on the Measurement of Respiratory Rate Using Image Alignment and Statistical Pattern Classification (영상 정합 및 통계학적 패턴 분류를 이용한 호흡률 측정에 관한 연구)

  • Moon, Sujin;Lee, Eui Chul
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.10
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    • pp.63-70
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    • 2018
  • Biomedical signal measurement technology using images has been developed, and researches on respiration signal measurement technology for maintaining life have been continuously carried out. The existing technology measured respiratory signals through a thermal imaging camera that measures heat emitted from a person's body. In addition, research was conducted to measure respiration rate by analyzing human chest movement in real time. However, the image processing using the infrared thermal image may be difficult to detect the respiratory organ due to the external environmental factors (temperature change, noise, etc.), and thus the accuracy of the measurement of the respiration rate is low.In this study, the images were acquired using visible light and infrared thermal camera to enhance the area of the respiratory tract. Then, based on the two images, features of the respiratory tract region are extracted through processes such as face recognition and image matching. The pattern of the respiratory signal is classified through the k-nearest neighbor classifier, which is one of the statistical classification methods. The respiration rate was calculated according to the characteristics of the classified patterns and the possibility of breathing rate measurement was verified by analyzing the measured respiration rate with the actual respiration rate.

Study on On-Sight Image-Based Simulation Method for Predicting and Analyzing Flight Test Results of a Missile (유도무기의 비행시험 결과 예측 및 분석을 위한 현장 영상 기반 시뮬레이션 기법 연구)

  • Jeong, Dong-Gil;Park, Jin-Seo;Lee, Jong-Hee;Son, Sung-Han
    • Journal of the Korea Society for Simulation
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    • v.28 no.3
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    • pp.41-48
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    • 2019
  • In modern-war campaign, precision-guided missiles are dominantly used to minimize the collateral damage. Imaging infrared seekers are widely applied for the precise guidance. Due to the high cost of the infrared detector, the cost for the one-shot weapon's test is a burden for the development. To reduce the test cost, a simulation method including imagery tracking is required, which is so-called integrated-flight simulation(IFS). The synthetic image generation(SIG)-based simulation method is typically used, which however cannot represent various environmental and target conditions. In this paper, a new IFS method is proposed using on-sight measured image to overcome the limitations of the SIG-based IFS(SIIFS). The target image acquired at the launching sight has been used only for checking the performance criteria of the image tracker and has not been tried for IFS since it has low resolution and little information. The study described in this paper, however, shows that the on-sight image-based IFS can predict the pre- and mid-course flight performance quite similarly and is very useful for the flight test analysis.

An Exploratory Study on the Optimized Test Conditions of the Lock-in Thermography Technique (위상잠금 열화상 기법의 최적 실험 조건 탐색 연구)

  • Cho, Yong-Jin
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.2
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    • pp.157-164
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    • 2011
  • This work is devoted to the technique application of lock-in infrared Thermography in the shipbuilding and ocean engineering industry. For this purpose, an exploratory study to find the optimized test conditions is carried out by the design of experiments. It has been confirmed to be useful method that the phase contrast images were quantified by a reference image and weighted by defect hole size. Illuminated optical intensity of lower or medium strength give a good result for getting a phase contrast image. In order to get a good phase contrast image, lock-in frequency factors should be high in proportion to the illuminated optical intensity. The integration time of infrared camera should have been inversely proportional to the optical intensity. The other hand, the difference of specimen materials gave a slightly biased results not being discriminative reasoning.

Development of the integrated management simulation system for the target correction (표적 수정이 가능한 사용자 개입 통합 관리 모의 시스템 개발)

  • Park, Woosung;Oh, TaeWon;Park, TaeHyun;Lee, YongWon;Kim, Kibum;Kwon, Kijeong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.7
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    • pp.600-609
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    • 2017
  • We designed a target management integration system that enables us to select the final target manually or automatically from seeker's sensor image. The integrated system was developed separately for the air vehicle system and the ground system. The air vehicle system simulates the motion dynamics and the sensor image of the air vehicle, and the ground system is composed of the target template image module and the ground control center module. The flight maneuver of the air vehicle is based on pseudo 6-degree of freedom motion equation and the proportional navigation guidance. The sensor image module was developed using the known infrared(IR) image rendering method, and was verified by comparing the rendered image to that of a commercial software. The ground control center module includes an user interface that can display as much information to meet user needs. Finally, we verified the integrated system with simulated impact target mission of the air vehicle, by confirming the final target change and the shot down result of the user's intervention.