• 제목/요약/키워드: section detection

검색결과 418건 처리시간 0.032초

Study on bubble detection sensor for safe sap and blood injection

  • Yun, Young Gi;Lee, Hoo Young;Park, Koo Rack
    • 한국컴퓨터정보학회논문지
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    • 제22권9호
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    • pp.149-154
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    • 2017
  • The infusion of fluid and blood is necessary in the ward, operating room, recovery room, neonatal room, etc. for nutrition and blood supply to the patient, but air bubbles generated during infusion of fluid and blood circulate along the artery or vein. Serious illnesses occur and there is also a risk of death. In this paper, we propose a medical bubble detection system, a bubble detection system, a bubble detection alarm system, and a communication method in order to develop a safer fluid and blood injection system in the existing system, which is detected by a medical staff monitoring system or an ultrasonic bubble detection sensor In this study, infrared rays are transmitted to a tube through a tube for injecting fluid or blood into a patient, infrared rays transmitted by an infrared ray emitting section are received, and the amount of light is measured in real time. Based on the data, we study how to detect and analyze the presence of bubbles in fluid and blood.

Contents Management System을 위한 비디오 브라우저 (A Video Browser for a Contents Management System)

  • 반재민;유신;이완주;이병래;강현철
    • 한국정보통신학회논문지
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    • 제16권7호
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    • pp.1470-1476
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    • 2012
  • 콘텐츠 관리 시스템의 주요한 데이터인 비디오 콘텐츠의 효율적인 저장과 검색을 위한 비디오 브라우저의 성능은 장면 전환 검출의 성능에 따라 크게 의존한다. 본 논문에서는 구간의 평균 차분 히스토그램을 이용하여 장면전환 검출의 문제점인 점진적인 장면 전환 검출에 대한 오검출과 미검출의 빈도를 줄이며, 기존의 히스토그램을 이용한 장면 전환 검출의 정확도를 향상시키는 방법을 제안한다.

압전센서를 이용하는 철로에서의 손상 검색 기술 (Damage Detection of Railroad Tracks Using Piezoelectric Sensors)

  • 윤정방;박승희;다니엘 인만
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2006년도 정기 학술대회 논문집
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    • pp.240-247
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    • 2006
  • Piezoelectric sensor-based health monitoring technique using a two-step support vector machine (SYM) classifier is discussed for damage identification of a railroad track. An active sensing system composed of two PZT patches was investigated in conjunction with both impedance and guided wave propagation methods to detect two kinds of damage of the railroad track (one is a hole damage of 0.5cm in diameter at web section and the other is a transverse cut damage of 7.5cm in length and 0.5cm in depth at head section). Two damage-sensitive features were extracted one by one from each method; a) feature I: root mean square deviations (RMSD) of impedance signatures and b) feature II: wavelet coefficients for $A_0$ mode of guided waves. By defining damage indices from those damage-sensitive features, a two-dimensional damage feature (2-D DF) space was made. In order to minimize a false-positive indication of the current active sensing system, a two-step SYM classifier was applied to the 2-D DF space. As a result, optimal separable hyper-planes were successfully established by the two-step SYM classifier: Damage detection was accomplished by the first step-SYM, and damage classification was also carried out by the second step-SYM. Finally, the applicability of the proposed two-step SYM classifier has been verified by thirty test patterns.

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집속효율 향상을 위한 외장유동노즐 가속 구간의 최적설계 연구 (Optimal Design of Sheath Flow Nozzle Acceleration Section for Improving the Focusing Efficiency)

  • 이진우;진정민;김윤제
    • 한국군사과학기술학회지
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    • 제22권6호
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    • pp.763-772
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    • 2019
  • There is a need to use sheath flow nozzle to detect bioaerosol such as virus and bacteria due to their characteristics. In order to enhance the detection performance depending on nozzle parameters, numerical analysis was carried out using a commercial code, ANSYS CFX. Eulerian-lagrangian approach method is used in this simulation. Multiphase flow characteristics between primary fluid and solid were considered. The detection performance was evaluated based on the results of flow field in nozzle chamber such as focusing efficiency and swirl strength. In addition, Latin hypercube sampling(LHS) of design of experiment(DOE) was used for generating a near-random sampling. Then, the acceleration section is optimized using response surface method(RSM). Results show that the optimized model achieved a 6.13 % in a focusing efficiency and 11.47 % increase in swirl strength over the reference model.

잔향제거를 이용한 음성통신 시스템 성능 향상 (Performance Enhancement of Speech Communication System using Reverberation Rejection)

  • 김세영;강석엽;김기만
    • 한국정보통신학회논문지
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    • 제13권10호
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    • pp.2211-2217
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    • 2009
  • 본 논문에서는 잔향이 존재하는 환경에서 단일 마이크로폰을 사용한 음성 개선 방법을 제시한다. 스펙트럼 차감법(Spectral Subtraction)은 스펙트럼 상에서 잔향성분 및 잡음을 제거 할 수 있는 효과적인 방법이다. 스펙트럼 차감법은 음성과 비음성 구간의 정확한 구분을 필요로 하며 성능을 향상시키기 위해 본 논문에서는 엔트로피(Entropy) 기반의 음성 구간 검출법을 적용하였다. 제시된 방법을 기존의 에너지 검출 기반의 음성 검출법을 적용한 스펙트럼 차감법과 비교하여 성능 평가를 수행하였다. SNR 및 잔향시간에 따른 잔향 제거비율을 평가지표로 사용하였으며, 시뮬레이션 결과 기존의 스펙트럼 차감법과 비교하여 제시된 방법이 우수한 성능을 보였다.

탄도미사일 탐지 확률 향상을 위한 레이더 배치에 관한 연구 (Study on radar deployment for improving the ballistic missile detection probability)

  • 박태용
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2014년도 추계학술대회
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    • pp.518-520
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    • 2014
  • 레이더를 이용하여 표적을 탐지함에 있어 표적의 Radar Cross Section(RCS)은 매우 중요한 요소이다. 동일한 표적이라도 레이더를 바라보는 방향에 따라 RCS 값이 크게 차이 나며, 레이더로 표적을 탐지하는 확률을 높이기 위해 RCS가 크게 나타나는 곳에 레이더를 배치하는 것이 유리하다. 북한의 탄도미사일은 우리의 안보에 큰 위협이 되고 있으며, 탄도미사일 방어를 위해 레이더를 이용하여 미사일을 조기에 탐지하여 추적하여야한다. 본 논문에서는 탄도미사일의 RCS 특성과 북한 탄도미사일의 탄도를 분석하여 탄도미사일의 탐지확률을 높이기 위한 레이더 배치 방안을 제시하였다.

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A leak detection and 3D source localization method on a plant piping system by using multiple cameras

  • Kim, Se-Oh;Park, Jae-Seok;Park, Jong Won
    • Nuclear Engineering and Technology
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    • 제51권1호
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    • pp.155-162
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    • 2019
  • To reduce the secondary damage caused by leakage accidents in plant piping systems, a constant surveillance system is necessary. To ensure leaks are promptly addressed, the surveillance system should be able to detect not only the leak itself, but also the location of the leak. Recently, research to develop new methods has been conducted using cameras to detect leakage and to estimate the location of leakage. However, existing methods solely estimate whether a leak exists or not, or only provide two-dimensional coordinates of the leakage location. In this paper, a method using multiple cameras to detect leakage and estimate the three-dimensional coordinates of the leakage location is presented. Leakage is detected by each camera using MADI(Moving Average Differential Image) and histogram analysis. The two-dimensional leakage location is estimated using the detected leakage area. The three-dimensional leakage location is subsequently estimated based on the two-dimensional leakage location. To achieve this, the coordinates (x, z) for the leakage are calculated for a horizontal section (XZ plane) in the monitoring area. Then, the y-coordinate of leakage is calculated using a vertical section from each camera. The method proposed in this paper could accurately estimate the three-dimensional location of a leak using multiple cameras.

후진동이 나타나는 실화 진단 방법에서 가중치를 이용한 성능 향상에 대한 연구 (A Study on the Improvement of Misfire Detection Method with Vibration by using the Weight Factor)

  • 임지훈;이태연;김일구;홍성률;성진호;박재홍;윤형진;박진서;김동선
    • 한국자동차공학회논문집
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    • 제13권4호
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    • pp.74-80
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    • 2005
  • This paper presents a misfire monitoring method by using the weight factor. According to OBD II(On-Board Diagnostics) regulations of the CARB (California Air Resources Board), an ECU (Electronic Control Unit) should detect misfires which occur in the internal combustion engine. A misfire is 1311owe4 by post-oscillations for short duration. Sometimes, the amplitude of oscillations may be as high as misfire and can be falsely detected as another misfire. To prevent this, the software designers do not attempt to detect another misfire for this short duration, during which the post oscillations exist. Because of this, ECU does not detect all the misfires and hence, the unstable state of automobile cannot be detected. If this happens for a long time, automobile may get damaged. To solve these problems, this paper suggests a new algorithm to detect misfire by using weighting factor Weighting factor is a concept to distinguish the misfire with the post oscillation and to improve the detection rate. This value of weighting factor is used for counting the misfire. This paper also shows the result of experiment done on a automobile using this software. The software is implemented using ASCET-SD which is preferred in the design of engine control. This paper's result show the possibility of improving the misfire detection by implementing this algorithm.