• Title/Summary/Keyword: background noise

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Recent Progress of MIRIS Development

  • Han, Won-Yong;Lee, Dae-Hee;Park, Young-Sik;Nam, Uk-Won;Jeong, Woong-Seob;Ree, Chang-Hee;Moon, Bong-Kon;Park, Sung-Joon;Cha, Sang-Mok;Lee, Duk-Hang;Park, Jang-Hyun;;Seon, Kwang-Il;Yang, Sun-Choel;Park, Jong-Oh;Rhee, Seung-Wu;Lee, Hyung-Mok;Matsumoto, Toshio
    • Bulletin of the Korean Space Science Society
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    • 2011.04a
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    • pp.23.4-23.4
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    • 2011
  • MIRIS is the main payload of the Science and Technology Satellite-3 (STSAT-3). which is being developed by KASI for infrared survey observation of the Galactic plane at Paschen alpha wavelength. Wideband filters in I and H band will also be used to observe cosmic infrared background. The MIRIS will perform astronomical observations in the near-infrared wavelengths of 0.9~2 ${\mu}m$ using a 256 ${\times}$ 256 Teledyne PICNIC FPA sensor providing a 3.67 ${\times}$ 3.67 degree field of view with a pixel scale of 51.6 arcsec. The flight model of the MIRIS has been recently developed, The system performance tests have been made in the laboratory, including opto-mechanics test, vibration test, thermal vacuum test and passive cooling test down to 200K, using a thermally controlled vacuum chamber. Several focus tests showed good agreements compared to initial design parameters. Recent efforts are being concentrated to improve the system performances, particularly to reduce readout noise level in electronics. After assembly and integration into the satellite bus, the MIRIS will be launched in 2012.

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Robot vision system for face tracking using color information from video images (로봇의 시각시스템을 위한 동영상에서 칼라정보를 이용한 얼굴 추적)

  • Jung, Haing-Sup;Lee, Joo-Shin
    • Journal of Advanced Navigation Technology
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    • v.14 no.4
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    • pp.553-561
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    • 2010
  • This paper proposed the face tracking method which can be effectively applied to the robot's vision system. The proposed algorithm tracks the facial areas after detecting the area of video motion. Movement detection of video images is done by using median filter and erosion and dilation operation as a method for removing noise, after getting the different images using two continual frames. To extract the skin color from the moving area, the color information of sample images is used. The skin color region and the background area are separated by evaluating the similarity by generating membership functions by using MIN-MAX values as fuzzy data. For the face candidate region, the eyes are detected from C channel of color space CMY, and the mouth from Q channel of color space YIQ. The face region is tracked seeking the features of the eyes and the mouth detected from knowledge-base. Experiment includes 1,500 frames of the video images from 10 subjects, 150 frames per subject. The result shows 95.7% of detection rate (the motion areas of 1,435 frames are detected) and 97.6% of good face tracking result (1,401 faces are tracked).

Real-time Small Target Detection using Local Contrast Difference Measure at Predictive Candidate Region (예측 후보 영역에서의 지역적 대비 차 계산 방법을 활용한 실시간 소형 표적 검출)

  • Ban, Jong-Hee;Wang, Ji-Hyeun;Lee, Donghwa;Yoo, Joon-Hyuk;Yoo, Seong-eun
    • Journal of Korea Society of Industrial Information Systems
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    • v.22 no.2
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    • pp.1-13
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    • 2017
  • In This Paper, we find the Target Candidate Region and the Location of the Candidate Region by Performing the Morphological Difference Calculation and Pixel Labeling for Robust Small Target Detection in Infrared Image with low SNR. Conventional Target Detection Methods based on Morphology Algorithms are low in Detection Accuracy due to their Vulnerability to Clutter in Infrared Images. To Address the Problem, Target Signal Enhancement and Background Clutter Suppression are Achieved Simultaneously by Combining Moravec Algorithm and LCM (Local Contrast Measure) Algorithm to Classify the Target and Noise in the Candidate Region. In Addition, the Proposed Algorithm can Efficiently Detect Multiple Targets by Solving the Problem of Limited Detection of a Single Target in the Target Detection method using the Morphology Operation and the Gaussian Distance Function Which were Developed for Real time Target Detection.

3-D Object Tracking using 3-D Information and Optical Correlator in the Stereo Vision System (스테레오 비젼 시스템에서 3차원정보와 광 상관기를 이용한 3차원 물체추적 방법)

  • 서춘원;이승현;김은수
    • Journal of Broadcast Engineering
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    • v.7 no.3
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    • pp.248-261
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    • 2002
  • In this paper, we proposed a new 3-dimensional(3-D) object-tracking algorithm that can control a stereo camera using a variable window mask supported by which uses ,B-D information and an optical BPEJTC. Hence, three-dimensional information characteristics of a stereo vision system, distance information from the stereo camera to the tracking object. can be easily acquired through the elements of a stereo vision system. and with this information, we can extract an area of the tracking object by varying window masks. This extractive area of the tracking object is used as the next updated reference image. furthermore, by carrying out an optical BPEJTC between a reference image and a stereo input image the coordinates of the tracking objects location can be acquired, and with this value a 3-D object tracking can be accomplished through manipulation of the convergence angie and a pan/tilt of a stereo camera. From the experimental results, the proposed algorithm was found to be able to the execute 3-D object tracking by extracting the area of the target object from an input image that is independent of the background noise in the stereo input image. Moreover a possible implementation of a 3-D tele-working or an adaptive 3-D object tracker, using the proposed algorithm is suggested.

A Study on the Factors Affecting the Low Back Pain of Workers in Hospital (병원 근무자의 요통 발생 요인에 관한 연구)

  • Jeong, Jin-Young;Son, Kyung-Hyun
    • Journal of Korean Physical Therapy Science
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    • v.16 no.3
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    • pp.55-66
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    • 2009
  • Background: The purpose of this research was to investigate the factors affecting the low back pain of workers in hospital. 214 subjects waking at two general hospitals in Yosu city participated in this survey. Subjects consisted of doctors, nurses, medical engineers, officers and general laborers. The survey data were collected by a written questionnaire which made out by themselves for 25 days, from fourth August to 29th August, 2008. Methods: The questionnaire consisted of four categories, general, occupational, working habitual and the daily living characteristics. The collected data were analyzed by Chi-square test based on the present or absent of low back pain. Results: 1. In the general characteristics, low back pain had no significant relationship to all factors, sex, ago, body mass index, weight and height. 2. In the occupational characteristics, the phase of distribution of low back pain had statistical significant differences in the working hours a week, satisfaction of pay, satisfaction of occupation(p<0.05). However low back pain did not significantly related to the kind of occupation, period of work and degree of stress. 3. In the habitual characteristics, low back pain was significantly influenced by working posture, frequency of using lumbar and heavy material lifting, monotonous repetition of working operation and noise(p<0.05). No significant difference was shown in the factor of convenience of chair. 4. In the daily living characteristics, low back pain shown the significant differences in walking time a day, status of health and smoking pattern(p<0.05). there were, however, no significant differences in the aspect of the kind of house and bed, sleeping attitude, driving, riding time on the vehicle, exercising, frequency of cultural life and drinking alcohol. Conclusion: when I see above resultants totally, it appears a higher incidence caused by working environment rather than living habit and then consequently compared to hospital workers, they also have high incidence like others. In order to reduce incidence of low back pain and enjoy the our life we need to educate ourselves preventing program for low back pain and try to effort for preventing of low back pain on each department and individual.

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The efficient IR-UWB Radar System for Reflective Wave Removal in a Short Distance Environments (근거리 환경에서 반사파 제거를 위한 효율적인 IR-UWB Radar 시스템)

  • Kim, Sueng-Woo;Jeong, Won-Ho;Yeo, Bong-Gu;Kim, Kyung-Seok
    • Journal of Satellite, Information and Communications
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    • v.12 no.1
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    • pp.64-71
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    • 2017
  • In this paper, Kalman filter and RRWA algorithm are used to estimate the accurate target in IR-UWB (Impulse-Radio Ultra Wideband) radar system, which enables accurate location recognition of indoors and outdoors with low cost and low power consumption. In the signal reflected by the target, unnecessary signals exist in addition to the target signal. We have tried to remove unnecessary signals and to derive accurate target signals and improve performance. The location of the targets is estimated in real time with one transmitting antenna and one receiving antenna. The Kalman filter was used to remove the background noise and the RRWA algorithm was used to remove the reflected signal. In this paper, we think that it will be useful to study the accurate distance estimation and tracking in future target estimation.

Analysis of Dark Data of the PICNIC IR Arrays in the CIBER

  • Lee, D.H.;Kim, M.G.;Tsumura, K.;Zemcov, M.;Nam, U.W.;Bock, J.;Battle, J.;Hristov, V.;Renbarger, T.;Matsumoto, T.;Sullivan, I.;Levenson, L.R.;Mason, P.;Matsuura, S.;Kim, G.H.
    • Journal of Astronomy and Space Sciences
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    • v.27 no.4
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    • pp.401-406
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    • 2010
  • We have measured and analyzed the dark data of two PICNIC IR arrays (P574 and P560) obtained through the Cosmic Infrared Background ExpeRiment (CIBER). First, we identified three types of bad pixels: the cold, the hot, and the transient, which are figured in total as 0.06% for P574 and 0.19% for P560. Then, after the bad pixels were masked, we determined the dark noise to be 20.5 ${\pm}$ 0.05 $e^-$ and 16.1 ${\pm}$ 0.05 $e^-$, and the dark current to be 0.6 ${\pm}$ 0.05 $e^-$/sec and 0.7 ${\pm}$ 0.05 $e^-$/sec for P574 and P560, respectively. Finally, we discussed glitches and readout modes for a future mission.

Detecting of Periodic Fasciculations of Avian Muscles Using Magnetic and Other Multimedia Devices

  • Nakajima, Isao;Tanaka, Sachie;Mitsuhashi, Kokuryo;Hata, Jun-ichi;Nakajima, Tomo
    • Journal of Multimedia Information System
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    • v.6 no.4
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    • pp.293-302
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    • 2019
  • In the past, there was a theory that influenza wasn't transmitted directly from birds but was infected to humans via swains. Recently, molecular level research has progressed, and it was confirmed that the avian influenza virus can directly infected to human lung and intestinal epithelial cells. Three pandemicsin the past 100 years were also infected to humans directly from birds. In view of such scientific background, we are developing a method for screening sick birds by monitoring the physiological characteristics of birds in a contactless manner with sensors. Here, the movement of respiratory muscles and abdominal muscles under autonomic innervation was monitored using a magnet and Hall sensor sewn on the thoracic wall, and other multimedia devices. This paper presents and discusses the results of experiments involving continuous periodic noise discovered during flight experiments with a data logger mounted on a Japanese pheasant from 2012 to 2015. A brief summary is given as the below: 1. Magnet and Hall sensor sewn to the left and right chest walls, bipolar electrocardiograms between the thoracic walls, posterior thoracic air sac pressure, angular velocity sensors sewn on the back and hips, and optical reflection of LEDs (blue and green) from the skin of the hips allow observation of periodic vibrations(fasciculations) in the waves. No such analysis has been reported before. 2. These fasciculations are presumed to be derived from muscle to maintain and control air sac pressure. 3. Since each muscle fiber is spatially Gaussian distributed from the sympathetic nerve, the envelope is assumed to plot a Gaussian curve. 4. Since avian trunk muscles contract periodically at all time, we assume that the sympathetic nerve dominates in their control. 5. The technique of sewing a magnet to the thoracic wall and measuring the strength of the magnetic field with a Hall sensor can be applied to screen for early stage of avian influenza, with a sensor attached to the chicken enclosure.

Automatic Detection of Foreign Body through Template Matching in Industrial CT Volume Data (산업용 CT 볼륨데이터에서 템플릿 매칭을 통한 이물질 자동 검출)

  • Ji, Hye-Rim;Hong, Helen
    • Journal of Korea Multimedia Society
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    • v.16 no.12
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    • pp.1376-1384
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    • 2013
  • In this paper, we propose an automaticdetection method of foreign bodies through template matching in industrial CT volume data. Our method is composed of three main steps. First,Indown-sampling data, the product region is separated from background after noise reduction and initial foreign-body candidates are extracted using mean and standard deviation of the product region. Then foreign-body candidates are extracted using K-means clustering. Second, the foreign body with different intensity of product region is detected using template matching. At this time, the template matching is performed by evaluating SSD orjoint entropy according to the size of detected foreign-body candidates. Third, to improve thedetection rate of foreign body in original volume data, final foreign bodiesare detected using percolation method. For the performance evaluation of our method, industrial CT volume data and simulation data are used. Then visual inspection and accuracy assessment are performed and processing time is measured. For accuracy assessment, density-based detection method is used as comparative method and Dice's coefficient is measured.

THERMAL DESIGN OF A PROTOMODEL SPACE INFRARED CRYOGENIC SYSTEM (적외선 우주망원경 냉각시스템 시험모델 열설계)

  • Yang Hyung-Suk;Kim Dong-Lak;Lee Byoung-Seob;Kim Geon-Hee;Lee Dae-Hee;Pak Soo-Jong;Nam Uk-Won
    • Journal of Astronomy and Space Sciences
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    • v.23 no.2
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    • pp.153-160
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    • 2006
  • A Protomodel Space Infrared Cryogenic System (PSICS) cooled by a stirling cry-ocooler has been designed. The PSICS has an IR sensor inside the cold box which is cooled by a stirling cryocooler with refrigeration capacity of 500mW at 80K in a vacuum vessel. It is important to minimize the heat load so that the background thermal noise can be reduced. In order to design the cryogenic system with low heat load and to reduce the remained heat load, we have performed numerical analyses. In this paper, we present the design factors and the results obtained by the thermal analysis of the PSICS.