• 제목/요약/키워드: Surveillance imaging

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이미지 센서를 이용한 멀티미디어 센서 네트워크의 설계 및 구현 (Design and Implementation of Multimedia Sensor Networks with Image Sensor)

  • 이좌형;조영태;정인범
    • 한국정보통신학회논문지
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    • 제13권3호
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    • pp.615-622
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    • 2009
  • 무선통신과 하드웨어 기술의 발전에 의해 센서 네트워크에 사용되는 센서 노드의 성능은 점차 향상되어 가고 있다. 뿐만 아니라 최근에는 CMOS 이미지 센서 기술의 발전에 의해 센서 네트워크에 멀티미디어 데이터를 활용한 멀티미디어센서 네트워크 연구가 활발히 진행되고 있다. CMOS 이미지 센서는 기존의 CCD에 비해 저가격으로 생산이 가능하고 저전력의 특징을 가진다. 이러한 CMOS 이미지 센서를 활용한 멀티미디어 센서 네트워크는 기존의 센서 네트워크를 이용한 화재감시, 방범 시스템 등의 어플리케이션에 영상 데이터를 제공함으로써 보다 신뢰성 있는 정보를 제공할 수 있다. 본 논문에서는 CMOS 이미지 센서를 이용한 이미지 센서 모듈과 이를 활용한 멀티미디어 센서네트워크를 설계 및 구현한다. 구현된 멀티미디어 센서 네트워크를 통해 이미지 데이터 수집을 테스트하고 그 성능을 분석한다.

Persistence of Multidrug-Resistant Acinetobacter baumannii Isolates Harboring blaOXA-23 and bap for 5 Years

  • Sung, Ji Youn;Koo, Sun Hoe;Kim, Semi;Kwon, Gye Cheol
    • Journal of Microbiology and Biotechnology
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    • 제26권8호
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    • pp.1481-1489
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    • 2016
  • The emergence and dissemination of carbapenemase-producing Acinetobacter baumannii isolates have been reported worldwide, and A. baumannii isolates harboring blaOXA-23 are often resistant to various antimicrobial agents. Antimicrobial resistance can be particularly strong for biofilm-forming A. baumannii isolates. We investigated the genetic basis for carbapenem resistance and biofilm-forming ability of multidrug-resistant (MDR) clinical isolates. Ninety-two MDR A. baumannii isolates were collected from one university hospital located in the Chungcheong area of Korea over a 5-year period. Multiplex PCR and DNA sequencing were performed to characterize carbapenemase and bap genes. Clonal characteristics were analyzed using REP-PCR. In addition, imaging and quantification of biofilms were performed using a crystal violet assay. All 92 MDR A. baumannii isolates involved in our study contained the blaOXA-23 and bap genes. The average absorbance of biomass in Bap-producing strains was much greater than that in non-Bap-producing strains. In our study, only three REP-PCR types were found, and the isolates showing type A or type B were found more than 60 times among unique patients during the 5 years of surveillance. These results suggest that the isolates have persisted and colonized for 5 years, and biofilm formation ability has been responsible for their persistence and colonization.

Qualification Test of ROCSAT -2 Image Processing System

  • Liu, Cynthia;Lin, Po-Ting;Chen, Hong-Yu;Lee, Yong-Yao;Kao, Ricky;Wu, An-Ming
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1197-1199
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    • 2003
  • ROCSAT-2 mission is to daily image over Taiwan and the surrounding area for disaster monitoring, land use, and ocean surveillance during the 5-year mission lifetime. The satellite will be launched in December 2003 into its mission orbit, which is selected as a 14 rev/day repetitive Sun-synchronous orbit descending over (120 deg E, 24 deg N) and 9:45 a.m. over the equator with the minimum eccentricity. National Space Program Office (NSPO) is developing a ROCSAT-2 Image Processing System (IPS), which aims to provide real-time high quality image data for ROCSAT-2 mission. A simulated ROCSAT-2 image, based on Level 1B QuickBird Data, is generated for IPS verification. The test image is comprised of one panchromatic data and four multispectral data. The qualification process consists of four procedures: (a) QuickBird image processing, (b) generation of simulated ROCSAT-2 image in Generic Raw Level Data (GERALD) format, (c) ROCSAT-2 image processing, and (d) geometric error analysis. QuickBird standard photogrammetric parameters of a camera that models the imaging and optical system is used to calculate the latitude and longitude of each line and sample. The backward (inverse model) approach is applied to find the relationship between geodetic coordinate system (latitude, longitude) and image coordinate system (line, sample). The bilinear resampling method is used to generate the test image. Ground control points are used to evaluate the error for data processing. The data processing contains various coordinate system transformations using attitude quaternion and orbit elements. Through the qualification test process, it is verified that the IPS is capable of handling high-resolution image data with the accuracy of Level 2 processing within 500 m.

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X-대역 LFM 신호생성을 위한 진행파형 전광변조기의 설계 및 제작 (Design and Manufacture of Traveling-wave Electro-optic Modulator for X-band LFM Signal Generation)

  • 이민우;류성준;배영석;장성훈;유준형;신진우
    • 한국군사과학기술학회지
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    • 제24권6호
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    • pp.610-618
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    • 2021
  • In this paper, a photonic-based microwave system technology is described, and a traveling-wave electro-optic modulator is designed and manufactured as a key component. The fabricated modulator is composed of a metal diffusion waveguide for optical transmission and a planar waveguide electrode on lithium niobate substrate for microwave transmission. The electro-optic response bandwidth of I and Q channels in a fabricated dual parallel Mach-Zehnder modulator were measured for 27.67 and 28.11 GHz, respectively. Photonic four times up-converted X-band frequency and linear frequency modulated signal were confirmed using the fabricated electro-optic modulator by S-band input signal. The confirmed broadband signal can be applied to a microwave system for surveillance and high-resolution ISAR imaging.

영상정보를 활용한 사면 붕괴 토사량 산정 기법 (Soil Volume Computation Technique at Slope Failure Using Photogrammetric Information)

  • 타망 비벡;임현택;김기환;장석현;김용성
    • 한국지반환경공학회 논문집
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    • 제19권12호
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    • pp.65-72
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    • 2018
  • 최근 무인항공시스템의 활용으로 농작물 작황조사, 접근위험지역의 시설물 현황조사, 재해재난 모니터링 및 3차원 모델링 등 그 활용 분야가 확대되고 있는 실정이며, 건설, 인프라, 영상, 측량, 농업, 감시, 수송 등 실제로 여러 분야로 활용사례가 계속 늘어나고 있다. 특히, 산사태와 같은 사면 붕괴 발생 시 무인항공시스템 적용에 대한 시도가 많아지고 있으며, 무인항공시스템은 3차원 비행이 가능하기 때문에 접근하기 어려운 공간 정보를 확인할 수 있다. 하지만, 이러한 장점에도 불구하고 사면 붕괴 발생시 무인항공시스템 활용은 아직도 제한적인 실정이다. 본 연구에서는 이러한 한계성 극복을 위하여 사면 붕괴로 인한 토사량을 무인항공시스템의 영상정보로 산정하는 기법을 고찰하였다. 본 연구를 통해 산악지역 등 접근이 어려운 지역에서 사면 붕괴 발생시 복구공사에 필요한 토사량의 정보를 취득하는데 무인항공시스템 영상정보를 활용할 수 있을 것으로 판단된다.

Drosophila CrebB is a Substrate of the Nonsense-Mediated mRNA Decay Pathway that Sustains Circadian Behaviors

  • Ri, Hwajung;Lee, Jongbin;Sonn, Jun Young;Yoo, Eunseok;Lim, Chunghun;Choe, Joonho
    • Molecules and Cells
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    • 제42권4호
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    • pp.301-312
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    • 2019
  • Post-transcriptional regulation underlies the circadian control of gene expression and animal behaviors. However, the role of mRNA surveillance via the nonsense-mediated mRNA decay (NMD) pathway in circadian rhythms remains elusive. Here, we report that Drosophila NMD pathway acts in a subset of circadian pacemaker neurons to maintain robust 24 h rhythms of free-running locomotor activity. RNA interference-mediated depletion of key NMD factors in timeless-expressing clock cells decreased the amplitude of circadian locomotor behaviors. Transgenic manipulation of the NMD pathway in clock neurons expressing a neuropeptide PIGMENT-DISPERSING FACTOR (PDF) was sufficient to dampen or lengthen free-running locomotor rhythms. Confocal imaging of a transgenic NMD reporter revealed that arrhythmic Clock mutants exhibited stronger NMD activity in PDF-expressing neurons than wild-type. We further found that hypomorphic mutations in Suppressor with morphogenetic effect on genitalia 5 (Smg5) or Smg6 impaired circadian behaviors. These NMD mutants normally developed PDF-expressing clock neurons and displayed daily oscillations in the transcript levels of core clock genes. By contrast, the loss of Smg5 or Smg6 function affected the relative transcript levels of cAMP response element-binding protein B (CrebB) in an isoform-specific manner. Moreover, the overexpression of a transcriptional repressor form of CrebB rescued free-running locomotor rhythms in Smg5-depleted flies. These data demonstrate that CrebB is a rate-limiting substrate of the genetic NMD pathway important for the behavioral output of circadian clocks in Drosophila.

효율적인 비정형 도로영역 인식을 위한 Semantic segmentation 기반 심층 신경망 구조 (Efficient Deep Neural Network Architecture based on Semantic Segmentation for Paved Road Detection)

  • 박세진;한정훈;문영식
    • 한국정보통신학회논문지
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    • 제24권11호
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    • pp.1437-1444
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    • 2020
  • 컴퓨터 비전 시스템의 발달로 보안, 생체인식, 의료영상, 자율주행 등의 분야에 많은 발전이 있었다. 자율주행 분야에서는 특히 딥러닝을 이용한 객체인식, 탐지 기법이 주로 사용되는데, 자동차가 갈 수 있는 영역을 판단하기 위한 도로영역 인식이 특히 중요한 문제이다. 도로 영역은 일반적인 객체탐지에서 활용되는 사각영역인식과는 달리 비정형적인 형태를 띠므로, ROI 기반의 객체인식 구조는 적용할 수 없다. 본 논문에서는 Semantic segmentation 기법을 사용한 비정형적인 도로영역 인식에 맞는 심층 신경망 구조를 제안한다. 또한 도로영역에 특화된 네트워크 구조인 Multi-scale semantic segmentation 기법을 사용하여 성능이 개선됨을 입증하였다.

자기공명검사실 내 전자기파 차단이 이루어지지 않은 부속장치의 차폐에 관한 연구 (Study on the Electromagnetic Shielding of Accessory Device without Electromagnetic Shielding Technology in the Magnetic Resonance Room)

  • 손순룡
    • 한국콘텐츠학회논문지
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    • 제21권2호
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    • pp.431-436
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    • 2021
  • 본 연구는 자기공명검사실 내 전자기파가 나오는 부속장치를 대상으로 새로운 차폐방법을 적용하여 전자기파로 인한 인공물의 발생을 방지하고자 하였다. 연구방법은 차폐 기술이 적용되지 않은 환자 감시용 CCTV에 metal plating fiber 섬유로 제작된 새로운 차폐체를 적용하여, CCTV의 전원을 차단한 경우(type I)를 기준으로 전원을 차단하지 않은 경우(type II)와 차단하지 않은 상태에서 새로운 차폐 기술을 적용한 경우(type III)를 noise map을 획득하여 비교평가 하였다. 연구 결과, 유의한 차이가 존재하는 집단이 하나 이상 존재함을 알 수 있었으며 이를 바탕으로 사후분석을 시행한 결과 type I과 type III는 집단 1로 type II는 집단 2로 나타나 기준인 CCTV의 전원을 차단한 경우와 새로운 차폐 기술을 적용한 경우가 동일집단 임을 알 수 있었다. 결론적으로 검사실 내에서 추가적인 부속장치로 인해 전자기파가 발생할 경우 본 연구가 제시한 차폐체를 적용한다면 noise가 발생하지 않는 type I과 동일한 상태를 만들 수 있어 전자기파로 인한 인공물의 발생을 방지할 수 있으리라 판단된다.

Development and Characterization of an Atmospheric Turbulence Simulator Using Two Rotating Phase Plates

  • Joo, Ji Yong;Han, Seok Gi;Lee, Jun Ho;Rhee, Hyug-Gyo;Huh, Joon;Lee, Kihun;Park, Sang Yeong
    • Current Optics and Photonics
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    • 제6권5호
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    • pp.445-452
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    • 2022
  • We developed an adaptive optics test bench using an optical simulator and two rotating phase plates that mimicked the atmospheric turbulence at Bohyunsan Observatory. The observatory was reported to have a Fried parameter with a mean value of 85 mm and standard deviation of 13 mm, often expressed as 85 ± 13 mm. First, we fabricated several phase plates to generate realistic atmospheric-like turbulence. Then, we selected a pair from among the fabricated phase plates to emulate the atmospheric turbulence at the site. The result was 83 ± 11 mm. To address dynamic behavior, we emulated the atmospheric disturbance produced by a wind flow of 8.3 m/s by controlling the rotational speed of the phase plates. Finally, we investigated how closely the atmospheric disturbance simulation emulated reality with an investigation of the measurements on the optical table. The verification confirmed that the simulator showed a Fried parameter of 87 ± 15 mm as designed, but a little slower wind velocity (7.5 ± 2.5 m/s) than expected. This was because of the nonlinear motion of the phase plates. In conclusion, we successfully mimicked the atmospheric disturbance of Bohyunsan Observatory with an error of less than 10% in terms of Fried parameter and wind velocity.

임상시험에서 인공지능의 활용에 대한 분석 및 고찰: ClinicalTrials.gov 분석 (Trends in Artificial Intelligence Applications in Clinical Trials: An analysis of ClinicalTrials.gov)

  • 고정민;이지연;송윤경;김재현
    • 한국임상약학회지
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    • 제34권2호
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    • pp.134-139
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    • 2024
  • Background: Increasing numbers of studies and research about artificial intelligence (AI) and machine learning (ML) have led to their application in clinical trials. The purpose of this study is to analyze computer-based new technologies (AI/ML) applied on clinical trials registered on ClinicalTrials.gov to elucidate current usage of these technologies. Methods: As of March 1st, 2023, protocols listed on ClinicalTrials.gov that claimed to use AI/ML and included at least one of the following interventions-Drug, Biological, Dietary Supplement, or Combination Product-were selected. The selected protocols were classified according to their context of use: 1) drug discovery; 2) toxicity prediction; 3) enrichment; 4) risk stratification/management; 5) dose selection/optimization; 6) adherence; 7) synthetic control; 8) endpoint assessment; 9) postmarketing surveillance; and 10) drug selection. Results: The applications of AI/ML were explored in 131 clinical trial protocols. The areas where AI/ML was most frequently utilized in clinical trials included endpoint assessment (n=80), followed by dose selection/optimization (n=15), risk stratification/management (n=13), drug discovery (n=4), adherence (n=4), drug selection (n=1) and enrichment (n=1). Conclusion: The most frequent application of AI/ML in clinical trials is in the fields of endpoint assessment, where the utilization is primarily focuses on the diagnosis of disease by imaging or video analyses. The number of clinical trials using artificial intelligence will increase as the technology continues to develop rapidly, making it necessary for regulatory associates to establish proper regulations for these clinical trials.