• 제목/요약/키워드: infrared identification

검색결과 161건 처리시간 0.024초

FT-IR을 이용한 쿼츠와 비취의 감별에 관한 연구 (A study on the identification of quartz and jadeite by the FT-IR)

  • 김영출;김세환;김판채
    • 한국결정성장학회지
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    • 제13권1호
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    • pp.41-45
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    • 2003
  • FT-IR은 보석을 감별하고 연구하는데 있어서 아주 유용한 장비이다. 그러므로 본 연구에서는 FT-IR을 이용하여 자수정. 황수정, 백수정 그리고 비취를 감별하는 데에 중점을 두었다 FT-IR은 자수정, 황수정과 백수정의 천연과 합성의 진위를 가리는데 매우 효과적이었으며, 천연 비취(A-Jade)와 왁스가 주입된 비취, 폴리머가 주입된 비취(B-Jade)를 식별하는 데 매우 유용하였다. 이러한 기술은 처리와 합성에 의해 새롭게 변화되어 나타나는 보석의 감별에 있어, 결정적으로 도움이 될 것이다.

Dorsal Hand Vein Identification Based on Binary Particle Swarm Optimization

  • Benziane, Sarah Hachemi;Benyettou, Abdelkader
    • Journal of Information Processing Systems
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    • 제13권2호
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    • pp.268-284
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    • 2017
  • The dorsal hand vein biometric system developed has a main objective and specific targets; to get an electronic signature using a secure signature device. In this paper, we present our signature device with its different aims; respectively: The extraction of the dorsal veins from the images that were acquired through an infrared device. For each identification, we need the representation of the veins in the form of shape descriptors, which are invariant to translation, rotation and scaling; this extracted descriptor vector is the input of the matching step. The optimization decision system settings match the choice of threshold that allows accepting/rejecting a person, and selection of the most relevant descriptors, to minimize both FAR and FRR errors. The final decision for identification based descriptors selected by the PSO hybrid binary give a FAR =0% and FRR=0% as results.

System Identification 기법을 이용한 이송중인 웹의 사행 거동에 대한 모델링 (Modeling of Lateral Dynamics of a Moving Web by Using the System Identification Technique)

  • 권순오;김상훈;신기현
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.624-627
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    • 2002
  • Experimental study showed that the existing mathematical model doesn't fully describe the lateral motion of a moving web fur different operating conditions. So, a physically interpretable model of lateral motion of a moving web in a typical web guidance system, operated at Konkuk Univ., was developed using the system identification technique. A well-known Least Square Method based on ARX model was used for the system identification. Lateral displacement of the web was measured at the exit of each span by infrared sensors. The model obtained from identifying a linear time-invariant system for a typical operating condition yields an improved prediction capability of the lateral dynamics of the moving web compared to other mathematical models proposed in literature.

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A NEW CATALOG OF AGB STARS BASED ON INFRARED TWO-COLOR DIAGRAMS

  • Suh, Kyung-Won;Hong, Jinju
    • 천문학회지
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    • 제50권4호
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    • pp.131-138
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    • 2017
  • We present a new catalog of AGB stars based on infrared two-color diagrams (2CDs) and known properties of the pulsations and spectra. We exclude some misclassified objects from previous catalogs. We identify color areas in two IR 2CDs where most O-rich and C-rich objects listed in previous catalogs of AGB stars are found. By collecting new objects in these color selection areas in the two IR 2CDs, we find candidate objects for AGB stars. By using the color selection method, we identify 3996 new objects in the O-rich areas, 1487 new objects in the C-rich areas, and 295 new objects in the overlap areas of the two 2CDs simultaneously. We have found that 470 O-rich and 9 C-rich objects are Mira variables with positive spectral identification and they are newly identified AGB stars. We present a new catalog of 3828 O-rich AGB stars and 1168 C-rich AGB stars excluding misclassified objects and adding newly identified objects.

Submillimeter galaxies in the AKARI North Ecliptic Pole survey field

  • Lee, Dongseob;Kim, Yeonsik;Shim, Hyunjin
    • 천문학회보
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    • 제44권2호
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    • pp.74.3-74.3
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    • 2019
  • SCUBA-2 North Ecliptic Pole survey, one of the ongoing JCMT large programs, is designed to obtain 850 ㎛ imaging data over ~4 deg2 around the NEP based on the AKARI NEP-Wide survey. By August 2019, the program is 50 % complete in terms of observing time, increasing the submillimeter coverage by a factor of 2 with the comparable depth. The rms measured in the deepest center is 0.92 mJy/beam, slightly above the 850 ㎛ confusion limit. With 4 σ detection, the source count is 50 % complete at 9 mJy. The surface density of submillimeter galaxies at this flux limit is 200 deg-2. Multi-wavelength identification of the 850 ㎛ sources was done through the likelihood analysis based on the far-infrared (250-500 ㎛), mid-infrared (18 ㎛), near-infrared (2-4 ㎛), and optical (i-band) source catalog. We are going to present morphologies and physical properties of 850 ㎛ selected submillimeter galaxies with the help of ancillary multi-wavelength datasets over the NEP area.

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Development of Data Fusion Human Identification System Based on Finger-Vein Pattern-Matching Method and photoplethysmography Identification

  • Ko, Kuk Won;Lee, Jiyeon;Moon, Hongsuk;Lee, Sangjoon
    • International Journal of Internet, Broadcasting and Communication
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    • 제7권2호
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    • pp.149-154
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    • 2015
  • Biometric techniques for authentication using body parts such as a fingerprint, face, iris, voice, finger-vein and also photoplethysmography have become increasingly important in the personal security field, including door access control, finance security, electronic passport, and mobile device. Finger-vein images are now used to human identification, however, difficulties in recognizing finger-vein images are caused by capturing under various conditions, such as different temperatures and illumination, and noise in the acquisition camera. The human photoplethysmography is also important signal for human identification. In this paper To increase the recognition rate, we develop camera based identification method by combining finger vein image and photoplethysmography signal. We use a compact CMOS camera with a penetrating infrared LED light source to acquire images of finger vein and photoplethysmography signal. In addition, we suggest a simple pattern matching method to reduce the calculation time for embedded environments. The experimental results show that our simple system has good results in terms of speed and accuracy for personal identification compared to the result of only finger vein images.

적외선기반 구역정보와 관성항법장치정보를 이용한 센서 네트워크 환경에서의 물체위치 추정 (Object Localization in Sensor Network using the Infrared Light based Sector and Inertial Measurement Unit Information)

  • 이민영;이수용
    • 제어로봇시스템학회논문지
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    • 제16권12호
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    • pp.1167-1175
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    • 2010
  • This paper presents the use of the inertial measurement unit information and the infrared sector information for getting the position of an object. Travel distance is usually calculated from the double integration of the accelerometer output with respect to time; however, the accumulated errors due to the drift are inevitable. The orientation change of the accelerometer also causes error because the gravity is added to the measured acceleration. Unless three axis orientations are completely identified, the accelerometer alone does not provide correct acceleration for estimating the travel distance. We propose a way of minimizing the error due to the change of the orientation. In order to reduce the accumulated error, the infrared sector information is fused with the inertial measurement unit information. Infrared sector information has highly deterministic characteristics, different from RFID. By putting several infrared emitters on the ceiling, the floor is divided into many different sectors and each sector is set to have a unique identification. Infrared light based sector information tells the sector the object is in, but the size of the uncertainty is too large if only the sector information is used. This paper presents an algorithm which combines both the inertial measurement unit information and the sector information so that the size of the uncertainty becomes smaller. It also introduces a framework which can be used with other types of the artificial landmarks. The characteristics of the developed infrared light based sector and the proposed algorithm are verified from the experiments.

저조도 환경 기반 색상 잡음 검출 및 영상 복원 (Color Noise Detection and Image Restoration for Low Illumination Environment)

  • 오교혁;이재린;전병우
    • 방송공학회논문지
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    • 제26권1호
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    • pp.88-98
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    • 2021
  • CCTV를 사용하여 저조도와 같은 열악한 환경에서도 범죄 예방 및 특정 대상을 정확히 확인하는 것이 최근 더욱 중요해지고 있다. 저조도 환경하의 CCTV 응용에서는 눈에 거슬리지 않는 근적외선 조명을 이용하여 영상을 획득하는데, 이 경우, 비록 사람 눈에는 어두운 저조도 환경이지만 근적외선 조명을 사용하기 때문에 영상의 상세 텍스처 정보를 얻을 수 있는 장점은 있지만, CCTV 영상내의 물체 판별이나 인물 확인을 위하여 매우 요긴한 정보인 색상 정보는 얻기 힘들다는 단점이 있다. 본 논문에서는 저조도 환경에서 근적외선 조명을 사용하여 얻은 CCTV 영상으로부터 DCGAN을 사용하여 색상정보를 획득하는 방법과 이때 재구성된 색상 영상에 생기는 색상 잡음을 제거하는 방법을 제시한다.

소나무와 금강송의 수종식별을 위한 화학계량학적 접근 - 근적외선 분광법과 다변량분석을 이용한 수종 분류 - (Chemometrics Approach For Species Identification of Pinus densiflora Sieb. et Zucc. and Pinus densiflora for. erecta Uyeki - Species Classification Using Near-Infrared Spectroscopy in combination with Multivariate Analysis -)

  • 황성욱;이원희
    • Journal of the Korean Wood Science and Technology
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    • 제43권6호
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    • pp.701-713
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    • 2015
  • 소나무와 금강송의 수종 분류를 위해 근적외선(NIR) 분광법과 주성분분석(PCA) 및 부분최소자승법 판별분석(PLS-DA)을 결합하여 수종 분류 모델을 설계하였다. 측정된 모든 NIR 스펙트럼을 이용하여 PCA를 실시한 결과 소나무와 금강송의 수종 분류는 불가능하였다. 그러나 2차 미분된 스펙트럼을 이용하여 시험편의 단면과 심 변재 구분에 따른 수종 분류에서는 변재부에서 수종 분류가 가능하였으며, 특히 방사단면의 변재에서는 명확하게 수종이 분류되었다. 그리고 개발된 PLS-DA 예측 모델을 통해 명확한 수종 분류가 가능하였다. 2차 미분으로 전처리된 스펙트럼을 이용하였을 때 가장 좋은 분류 결과 얻을 수 있었다. 2차 미분 스펙트럼을 이용한 예측 모델은 100%의 분류 정확도를 나타내었으며, 예측 모델의 $R_p{^2}$ 값은 0.86, RMSEP는 0.38로 나타났다. 전처리하지 않은 스펙트럼과 2차 미분 스펙트럼을 이용한 예측 모델의 신뢰도는 유사하였다. 근적외선 분광법과 부분최소자승법 판별분석을 결합한 수종 분류 모델은 소나무와 금강송의 분류에 적합하였다.

Identification of MgII Absorbers in the Quasar Lines of Sight

  • Shim, Hyunjin
    • 천문학회보
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    • 제40권1호
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    • pp.75.3-75.3
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    • 2015
  • Large area infrared surveys are often accompanied with follow-up optical spectroscopic surveys that has a significant legacy value even for other areas of research. Using these spectral database, we have performed a search for MgII absorption lines in the optical spectrum of background quasar. Over the ~4deg2 of AKARI North Ecliptic Pole survey field and Spitzer First Look Survey field, 18 and 16 MgII absorber systems are identified respectively. The redshift range for the background quasars was 1.0<$z_{qso}$<3.4, while the redshift range for the absorber was 0.6<$z_{abs}$<1.6. Galaxies responsible for MgII absorptions are identified in the deep optical images (CFHT r-band), yet the identification still remains ambiguous for 60% of the systems due to the limited image depth and the source crowdedness. The impact parameter ranges 20-60kpc, and the rest-frame equivalent width of MgII absorption ranges $0.7-4{\AA}$. The most critical part in the identification of MgII absorber galaxies is the existence of deep optical images in addition to the high S/N quasar spectrum with R>3000.

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