• Title/Summary/Keyword: iris detection

검색결과 68건 처리시간 0.024초

[Fe II] 1.64 ${\mu}m$ images of Jets and Outflows from Young Stellar Objects in the Carina Nebula

  • 신종호;표태수;이재준;이호규;구본철;성환경;문대식;경재만;박병곤
    • 천문학회보
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    • 제37권1호
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    • pp.74.2-74.2
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    • 2012
  • We present [Fe II] 1.64 ${\mu}m$ imaging observations for jets and outflows from young stellar objects over the northern part (-24'${\times}$45') of the Carina Nebula, a typical evolved massive star forming region. The observations were performed with IRIS2 of Anglo-Autralian Telescope and the seeing was -1.5". Several jets and outflows features are detected at seven different regions, and one new Herbig-Haro Object is identified. The [Fe II] features have knotty and elongated shapes, and distribute around the triangular area formed by the star clusters Tr 14, Tr 15, and Tr 16, which contain many massive stars. The [Fe II] feature shows a highest detection rate (3.2 %) for the earliest stage YSOs, and the rate decreases as the stage evolves. The low detection rate (1.5 %) of [Fe II] features from the numerous YSOs seem to be related with the severe radiation environment of the Carina Nebula. The outflow rate shows reasonable relations with the physical parameters of the corresponding YSOs-derived from the SED fitting-such as the accretion luminosity, the stellar mass, the stellar age, the disk accretion rate, etc.

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분할 영역 정보를 이용한 국부 영역에서 차량 검지 및 추적 (Detecting and Tracking Vehicles at Local Region by using Segmented Regions Information)

  • 이대호;박영태
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제34권10호
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    • pp.929-936
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    • 2007
  • 본 논문에서는 교통 모니터링 시스템에 사용할 수 있는 국부 영역에서 차량 검지와 추적을 수행하는 새로운 기법을 제안하다. 차량 검지와 추적은 각 차선에 미리 설정된 영역에서만 이루어진다. 각 차선에 설정된 국부 영역을 에지 특성과 프레임 차이를 이용하여 여러 개의 분할 영역으로 나누고 분할영역의 통계적 특성과 기하학적 특성에 의해 차량, 도로, 그림자와 전조등 영역으로 분류하여 차량을 검출한다. 검출된 차량은 에지 영상의 정합에 의해 국부 영역내에서 추적하여 차량 속도, 길이, 차간 거리와 도로 점유율과 같은 교통 정보를 산출할 수 있다. 배경 영상을 사용하지 않으므로 다양한 조건에서 사용이 가능하고 다양한 기상, 시간대와 장소에서 90.16%의 높은 차량 검출의 정확도를 나타냈다. 동작 환경에서 카메라의 각도, 방향과 조리개 설정이 조정되면 아주 높은 정확도의 교통 모니터링 시스템의 핵심기술로 사용될 수 있을 것으로 기대된다.

광학식 지문센서에서의 위조 지문 검출 방법 (A Detection Method of Fake Fingerprint in Optical Fingerprint Sensor)

  • 이지선;김재환;채진석;이병수
    • 한국멀티미디어학회논문지
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    • 제11권4호
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    • pp.492-503
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    • 2008
  • 최근 개인 인증 기술의 발달과 중요성이 높아짐에 따라 분실이나 도용 등의 위험이 적은 바이오 인식 기술이 빠르게 보급되고 있다. 특히, 인식률이 높고 이용하기 쉬운 지문 인식 시스템이 홍채 인식, 얼굴 인식, 정맥 인식 등의 다른 바이오 인식 시스템보다 훨씬 많이 사용되고 있는 것으로 나타나고 있다. 그러나 이와 같은 지문 인식 시스템은 지문 데이터를 입력할 때, 인공적으로 만들어진 위조 지문이 입력될 수 있는 문제점을 가지고 있다. 따라서 이와 같은 문제를 해결하기 위해 본 논문에서는 광학식 지문센서에서 발생되는 빛이 생체 지문을 투과하면서 감쇠되는 정도를 측정하고, 일정시간에 따른 단계별 빛의 투과량의 명암 차이를 분석하여 위조 지문의 입력을 검출하는 방법을 제안하였다. 제안된 시스템의 성능 향상을 입증하기 위해 기존에 사용되던 지문 온도 측정을 병행하는 멀티센서(Multi-Sensor) 인식 시스템과 성능 비교 실험을 수행하였으며, 그 결과, 위조 지문에 대한 검출률이 약 32.6% 정도 향상된 것을 확인함으로써 지문 인식시스템에서의 보안 문제의 해결 가능성을 제시하였다.

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Evaluation of Albumin Creatinine Ratio as an Early Urinary Biomarker for Chronic Kidney Disease in Dogs

  • Hyun-Min Kang;Heyong-Seok Kim;Min-Hee Kang;Jong-Won Kim;Dong-Jae Kang;Woong-Bin Ro;Doo-Won Song;Ga-Won Lee;Hee-Myung Park;Hwi-Yool Kim
    • 한국임상수의학회지
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    • 제40권6호
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    • pp.399-407
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    • 2023
  • Chronic kidney disease (CKD) occurs in more than 15% of the dogs over 10 years of age and causes irreversible renal function deterioration. Therefore, it is important to diagnose CKD early and treat the disease properly. The purpose of this study aimed to to evaluate the clinical utility of urine albumin/creatinine ratio (ACR) using POC (point-of-care) device as an early detection urinary biomarker in CKD dogs and to confirm the correlation between ACR and other known CKD biomarkers. Urine and serum samples were obtained from 50 healthy dogs and 50 dogs with CKD. Serum blood urea nitrogen (BUN), creatinine, and symmetric dimethylarginine (SDMA) concentrations, and urine protein creatinine ratio (UPC) were measured. Urine specific gravity (USG) was evaluated using refractometer, and ACR was measured using an i-SENS A1Care analyzer. The ACR values of dogs with CKD were significantly different from those of healthy dogs (p < 0.001), as with other renal biomarkers. ACR showed significant differences between healthy dogs and dogs with CKD at every IRIS stage (p < 0.005), whereas no significant differences were observed between dogs with CKD IRIS stage I and healthy dogs with UPC. There are significant positive correlation between ACR and BUN (r = 0.611, p < 0.001), creatinine (r = 0.788, p < 0.001), SDMA (r = 0.747, p < 0.001), and UPC (r = 0.784, p < 0.001), and significant negative correlation between ACR and USG (r = -0.700, p < 0.001). In receiver operator characteristic curve analysis, the area under the curve (AUC) was 0.982 (95% CI 0.963-1.000, p < 0.001), with an optimal cut-off value of 64.20 mg/g (94% sensitivity and 94% specificity). Thus, ACR is a useful urinary biomarker for the early diagnosis of proteinuria in CKD and combined use of ACR and other renal biomarkers may be helpful for early diagnosis and prevention of CKD in dogs.

Near-Infrared Spectroscopy and Modeling of Luminous Blue Variables

  • 김현정;구본철;박용선
    • 천문학회보
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    • 제36권2호
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    • pp.152.1-152.1
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    • 2011
  • We report preliminary results of long-slit near-infrared (NIR) spectroscopy of Luminous Blue Variables (LBVs) with moderate resolution of R ~ 2400. We obtained Jshort (1.04-1.26 micron) and Ks (2.02-2.31 micron) band spectra of 4 LBVs and 3 LBV candidates in Southern hemisphere using IRIS2, infrared imager and spectrograph, mounted on the 4-m Anglo-Australian Telescope. All targets are fairly bright in NIR so that we can obtain high signal-to-noise ratio for clear line detection and modeling. They are also widely distributed in the HR diagram so that we can compare the spectral properties of LBVs in different temperature and luminosity ranges. Among them, we present the results of two well-known LBVs AG Car and HR Car. Their spectra show similar properties with hydrogen, He I, and metallic lines such as Fe II and Mg II, most of them in emission. We discuss, in particular, the He I 1.083 micron lines formed in stellar wind because these two LBVs show large variation in their He I line intensities, compared to previous studies. Since the He I 1.083 line is known to be anticorrelated with the photometric variation of LBVs, strong line intensities with P-Cygni profiles in both stars indicate that they are now near the visual minimum phase. We model the obtained spectra using non-LTE atmosphere code CMFGEN of Hillier (1998) to derive stellar parameters such as wind velocity and mass loss rate, and discuss the long-term variability of stellar parameters of these LBVs. deduced from our otometric solution.

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1.64 ${\mu}m$ features of Jets and Outflows from Young Stellar Objects in the Carina Nebula

  • Shinn, Jong-Ho;Pyo, Tae-Soo;Lee, Jae-Joon;Lee, Ho-Gyu;Kim, Hyun-Jeong;Koo, Bon-Chul;Sung, Hwankyung;Chun, Moo-Young;Lyo, A. Ran;Moon, Dae-Sik;Kyeong, Jaemann;Park, Byeong-Gon;Hur, Hyeonoh;Lee, Yong-Hyun
    • 천문학회보
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    • 제39권1호
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    • pp.56.2-56.2
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    • 2014
  • We present [Fe II] 1.64 ${\mu}m$ imaging observations for jets and outflows from young stellar objects over the northern part (${\sim}24^{\prime}{\times}45^{\prime}$) of the Carina Nebula, a massive star forming region. The observations were performed with IRIS2 of Anglo-Australian Telescope and the seeing was ~1.5". Eleven jets and outflows features are detected at eight different regions, and are termed as Ionized Fe Objects (IFOs). The [Fe II] features have knotty or elongated shapes, and the detection rate of IFOs against previously identified YSOs is 1.4%. Four IFOs show anti-correlated peak intensities in [Fe II] and $H{\alpha}$, where the ratio I([Fe II])/I($H{\alpha}$) is higher for longish IFOs than for knotty IFOs. We estimate the outflow mass loss rate from the [Fe II] flux using two different methods. The jet-driving objects are identified for three IFOs (IFO-2, -4, and -7). The ratios of the outflow mass loss rate over the disk accretion rate for IFO-4 and -7 are consistent with the previously reported values ($10^{-2}-10^{+1}$), while the ratio is higher for IFO-2. This excess may result from underestimating the disk accretion rate. Other YSO physical parameters show reasonable relations or trends.

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다매체 노출을 고려한 Perchloroethylene의 인체위해성평가연구 (Human Risk Assessment of Perchloroethylene Considering Multi-media Exposure)

  • 서정관;김탁수;조아름;김필제;최경희
    • 한국환경보건학회지
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    • 제40권5호
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    • pp.397-406
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    • 2014
  • Objectives: Perchloroethylene (PCE) is a volatile chemical widely used as a solvent in the dry-cleaning and textile processing industries. It was evaluated as Group 2 "probably carcinogenic to humans" by the Integrated Risk Information System (IRIS) of the United State Environmental Protection Agency (U.S. EPA) in 2012. In order to provide a scientific basis for establishing risk management measures for chemicals on the national priority substances list, aggregate risk assessment was conducted for PCE, included in the top-10 substances. Methods: We conducted the investigation and monitoring of PCE exposure (e.g., exposure scenario, detection levels, and exposure factors, etc.) and assessed its multi-media (e.g., outdoor air, indoor air, and ground water) exposure risk with a deterministic and probabilistic approach. Results: In human risk assessment (HRA), the level of human exposure was higher in the younger age group. The exposure level through inhalation at home was the highest among the exposure routes. Outdoor air or uptake of drinking water represented less than 1% of total contributions to PCE exposure. These findings suggested that the level of risk was negligible since the Hazard Index (HI) induced by HRA was below one among all age groups, with a maximum HI value of 0.17 when reasonable maximum exposure was applied. Conclusion: In conclusion, it was suggested that despite low exposure risk, further studies are needed considering main sources, including occupational exposure.

지정맥 인식을 위한 고속 지정맥 영역 추출 방법 (Fast Detection of Finger-vein Region for Finger-vein Recognition)

  • 김성민;박강령;박동권;원치선
    • 대한전자공학회논문지SP
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    • 제46권1호
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    • pp.23-31
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    • 2009
  • 최근 출입통제, 금융보안 및 전자여권 등 다양한 분야에서 얼굴인식, 지문인식, 홍채인식 등과 같은 생체인식기술의 적용이 활발히 이루어지고 있다. 또한 최근에는 손가락의 지정맥 패턴정보를 이용하여 개인을 인증하는 연구 역시 활발히 진행 중이다. 일반적으로 획득된 지정맥 영상은 손가락의 두께에 따른 적외선 빛의 투과도 및 카메라의 센서 잡음으로 인하여 정맥과 배경 분리에 많은 어려움이 있다. 이를 해결하기 위하여 본 논문에서는 고속으로 지정맥 영역을 추출하기 위한 새로운 방법을 제안한다. 본 연구는 기존의 방법에 비해 다음과 같은 2가지 장점을 가지고 있다. 첫째, 획득된 지정맥 영상에 적응적 지역 이진화 방법을 적용하여 지정맥 영역을 분리하였다. 둘째, 분리된 영상의 잡음을 열림 및 닫힘 연산을 이용하여 제거하고 최종적으로 골격화하여 지정맥 영역을 추출하였다. 실험결과, 기존의 방법들에서는 영상 잡음을 제거하기 위해 많은 필터를 사용하였으나 제안한 방법에서는 필터를 많이 사용하지 않으면서도 고속으로 정확하게 지정맥 영역을 추출할 수 있음을 보였다.