• 제목/요약/키워드: On-the-spot detection

검색결과 182건 처리시간 0.026초

상호연관 신경망에 기반을 둔 이동 검출을 위한 아날로그 집적회로 (Analog MOS circuits for motion detection based on correlation neural networks)

  • 심선일;김용태;박정호
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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    • pp.149-152
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    • 2000
  • We propose simple analog MOS circuits producing the one-dimensional compact motion-sensing circuits. In the proposed circuit, the optical flow is computed by a number of local motion sensors which are based on biological motion detectors. Mimicking the structure of biological motion detectors made the circuit structure quite simple, compared with conventional velocity sensing circuits. Extensive simulation results by a simulation program of integrated circuit emphasis (SPICE) indicated that the proposed circuits could compute local velocities of a moving light spot and showed direction selectivity for the moving spot

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인간-컴퓨터 상호작용을 위한 신경망 알고리즘기반 레이저포인터 검출 (Laser pointer detection using neural network for human computer interaction)

  • 정찬웅;정성문;이민호
    • 한국산업정보학회논문지
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    • 제16권1호
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    • pp.21-30
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    • 2011
  • 본 논문에서는 인간-컴퓨터 상호작용 시스템 구현을 위해 신경망 알고리즘을 적용하여 스크린 상의 레이저포인터를 효과적으로 검출하는 방법을 제안하였다. 제안된 신경망 알고리즘은 먼저 레이저포인터가 없는 입력 카메라 영상의 패치들을 학습시킨다. 학습된 선경망은 카메라 영상으로부터 얻은 입력 패치에 대해 출력 값을 발생시킨다. 만약 미세한 레이저빔의 변화가 입력영상에 감지되면 이를 증폭시켜 레이저 빔을 검출하는 역할을 한다. 제안된 시스템은 레이저포인터, 싼 가격의 웹캠 그리고 영상처리 프로그램으로 구현할 수 있다. 그리고 레이저포인터와 컴퓨터의 배경화면 색상이 유사한 경우에도 레이저포인터를 검출할 수 있는 장점이 있으므로 인간-컴퓨터 상호작용 시스템의 성능개선에 기여할 것이다.

Tackling range uncertainty in proton therapy: Development and evaluation of a new multi-slit prompt-gamma camera (MSPGC) system

  • Youngmo Ku;Sehoon Choi;Jaeho Cho;Sehyun Jang;Jong Hwi Jeong;Sung Hun Kim;Sungkoo Cho;Chan Hyeong Kim
    • Nuclear Engineering and Technology
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    • 제55권9호
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    • pp.3140-3149
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    • 2023
  • In theory, the sharp dose falloff at the distal end of a proton beam allows for high conformal dose to the target. However, conformity has not been fully achieved in practice, primarily due to beam range uncertainty, which is approximately 4% and varies slightly across institutions. To address this issue, we developed a new range verification system prototype: a multi-slit prompt-gamma camera (MSPGC). This system features high prompt-gamma detection sensitivity, an advanced range estimation algorithm, and a precise camera positioning system. We evaluated the range measurement precision of the prototype for single spot beams with varying energies, proton quantities, and positions, as well as for spot-scanning proton beams in a simulated SSPT treatment using a phantom. Our results demonstrated high accuracy (<0.4 mm) in range measurement for the tested beam energies and positions. Measurement precision increased significantly with the number of protons, achieving 1% precision with 5 × 108 protons. For spot-scanning proton beams, the prototype ensured more than 5 × 108 protons per spot with a 7 mm or larger spot aggregation, achieving 1% range measurement precision. Based on these findings, we anticipate that the clinical application of the new prototype will reduce range uncertainty (currently approximately 4%) to 1% or less.

원자력 압력용기의 피복하부 결함검출에 대한 고찰(II) (A Study of the Detection for Underclad Cracks of Nuclear Pressure Vessel)

  • 박치승;강기원
    • 비파괴검사학회지
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    • 제13권2호
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    • pp.31-39
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    • 1993
  • 국내 원자력 압력 용기의 피복하부 결함에 대한 검사는 1970년대 초부터 이 피복하부 결함에 대한 보고가 되기 시작하였으나 적용 규격인 ASME Code의 요구사항이 아니므로 현재까지는 검사를 수행해 오지 않고 있다. 본 실험의 목적은 이러한 피복하부 결함을 검출하는데 적절한 초음파검사 방법의 조건을 찾는 것이다. 실험은 $70^{\circ}$굴절종파, 50/70 multibeam탐촉자, SLIC-50 탐촉자 등을 사용하여 원자력 압력용기의 피복 용접과 같은 조건하에서 피복용접 시킨 초음파보정 시험편과 demonstration시험편에 대하여 수행하였다. 실험 결과 피복하부 결함의 검출은 50/70 multibeam탐촉자가 효과적이었으면, 피복하부 결함의 길이 평가는 $70^{\circ}$굴절종파로 수행하는 것이 바람직한 것으로 나타났으며, 반면에 피복하부 결함의 깊이 측정은 SLIC-50 탐촉자를 사용하여 M-SPOT 방범과 M-PET 방법으로 평가하는 것이 가장 효과적인 것으로 사료된다.

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박층크로마토그라피 및 농도 측정법에 의한 Ampicillin Trihydrate 중의 N,N-Dimethylaniline의 검색 (Detection of N,N-Dimethylaniline in Ampicillin Trihydrate by Thin Layer Chromatography and Densitometry)

  • 이왕규;김박광;심창구
    • 약학회지
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    • 제22권4호
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    • pp.238-241
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    • 1978
  • A simple and convenient method of detecting N, N-dimethy laniline (D.M.A.) residues in ampicillin trihydrate (A.T.) was established. D.M.A. was extracted by chloroform from the chloroform presaturated N/10-ammonia water solution of A.T. and chromatographed on silica gel G thin layer. Blue spot appeared in 15minutes after spray of 2, 6-dichloroquinonechlorimide solution was compared with the blue spot of reference concomitantly processed. The developing solvent was prepared by mixing equal volume of cyclohexane and chloroform. To quantitate the amount of D.M.A. in A.T., T.L.C. was performed with the Eastmann Chromatogram sheet, then color density was measured by Cosmo Superclick densitometer. The developing solvent at this time was cyclohexane-chlorofonn (3+7) mixture. The peak areas obtained with the amount of D.M.A ranging from 0.05 to 2.0 .mu.g were linear to color density. Better sensitive results would be available with the densitometer equipped with monochromator.

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자동차 차체 제조 공정에서 용접 공정 오류 검출을 위한 지능형 모니터링 시스템 개발 (Development of Intelligent Monitoring System for Welding Process Faults Detection in Auto Body Assembly)

  • 김태형;유지영;이세헌;박영환
    • Journal of Welding and Joining
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    • 제28권4호
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    • pp.81-86
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    • 2010
  • In resistance spot welding, regardless of the optimal condition, bad weld quality was still produced due to complicated manufacturing processes such as electrode wear, misalignment between the electrode and workpiece, poor part fit-up, and etc.. Therefore, the goal of this study was to measure the process signal which contains weld quality information, and to develop the process fault monitoring system. Welding force signal obtained through variety experimental conditions was analyzed and divided into three categories: good, shunt, and poor fit-up group. And then a monitoring algorithm made up of an artificial neural network that could estimate the process fault of each different category based on pattern was developed.

Proteomic identification of the bovine pregnancy associated proteins by peptide mass fingerprinting

  • Kang, Sun-Chul;Kim, Eun-Jung;Pyo, Jae-Hoon;Lim, Jin-Kyu
    • 한국생물공학회:학술대회논문집
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    • 한국생물공학회 2002년도 생물공학의 동향 (X)
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    • pp.558-561
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    • 2002
  • In this study, a method for the localization of pregnancy-specific proteins from cow urine on 2-D gel have been established. The proteins were digested with trypsin in gel and then analyzed with MALDI- TOF or transferred to a membrane and microsequenced. To examine the pregnancy associated protein spot 2 as a diagnosis marker in bovine urine 2-D western blotting was performed. This antibody was reacted specifically in the protein of pregnant cow’s urine. Consequently spot 2 was identified and found to be good candidates for developing cow pregnancy detection assay kit.

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열감지장치의 응답시간지수와 경계구역 (Installed Spacing and Reponse Time Index of Heat Detection Devices)

  • 권오승;이복영;김동석
    • 한국화재소방학회:학술대회논문집
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    • 한국화재소방학회 1996년도 학술발표회
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    • pp.72-75
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    • 1996
  • The objectives of this paper investigate the effect of installed spacing on the activation of spot type heat detection devices. The flow of hot gases under a ceiling resulting from the impingement of a fire plume activates heat detectors and sprinklers. Local temperature and velocity in this ceiling jet are usually expressed with the function of a ceiling height, the distance from a fire location and the heat release rate of fire. And detectors having different. RTI respond in different ways to the same temperature and velocity of ceiling jet. Thus great care should be taken to decide installed spacing of heat detection devices by considering above effects.

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Object Detection and Localization on Map using Multiple Camera and Lidar Point Cloud

  • Pansipansi, Leonardo John;Jang, Minseok;Lee, Yonsik
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.422-424
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    • 2021
  • In this paper, it leads the approach of fusing multiple RGB cameras for visual objects recognition based on deep learning with convolution neural network and 3D Light Detection and Ranging (LiDAR) to observe the environment and match into a 3D world in estimating the distance and position in a form of point cloud map. The goal of perception in multiple cameras are to extract the crucial static and dynamic objects around the autonomous vehicle, especially the blind spot which assists the AV to navigate according to the goal. Numerous cameras with object detection might tend slow-going the computer process in real-time. The computer vision convolution neural network algorithm to use for eradicating this problem use must suitable also to the capacity of the hardware. The localization of classified detected objects comes from the bases of a 3D point cloud environment. But first, the LiDAR point cloud data undergo parsing, and the used algorithm is based on the 3D Euclidean clustering method which gives an accurate on localizing the objects. We evaluated the method using our dataset that comes from VLP-16 and multiple cameras and the results show the completion of the method and multi-sensor fusion strategy.

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배나무잎 이상반점증상에 관한 연구 5. 지표식물 선발 (Studies on the Pear Abnormal Leaf Spot Disease 5. Selection of Indicator Plants)

  • 남기웅;김충회;황해성
    • 한국식물병리학회지
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    • 제12권2호
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    • pp.214-218
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    • 1996
  • 배나무잎 이상반점증상의 보독여부를 신속정확하게 검정할 수 있는 목본 지표식물을 선발하기 위해 시험을 수행하였다. 신고x조생적 등 5개 교배조합 102개체를 공시해서 1차로 10개체를 선발하였다. 1차로 선발된 개체중에서 전형적인 이상반점증상이 조기에 잘 나타나고 이상반점증상과 유사한 검은무늬병에 저항성인 신고$\times$조생적 86-2-2 계통을 최종선발하였다. 선발된 지표식물을 사용하여 농가포장에서 이상반점 증상의 보독여부를 실증시험한 결과 보독유무의 조기판별이 가능하였다. 이상의 결과에서 최종 선발된 신고$\times$조생적 86-2-2계통을 PS-95로 명명하고자 한다.

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