• 제목/요약/키워드: Multi-target

검색결과 1,400건 처리시간 0.024초

홉필드 신경망을 이용한 다중 표적 추적이 데이터 결합 최적화에 대한 연구 (A Study on the Optimal Data Association in Multi-Target Tracking by Hopfield Neural Network)

  • 이양원;정홍
    • 전자공학회논문지B
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    • 제33B권6호
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    • pp.186-197
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    • 1996
  • A multiple target tracking (MTT) problem is to track a number of targets in clusttered environment, where measurements may contain uncertainties of measurement origin due to clutter, missed detection, or other targets, as well as measurement noise errors. Hence, an MTT filter should be introduced to resolve this problem. In this paper, a neural network is rpoposed as an MTT filter.

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Process Control Using n Neural Network Combined with the Conventional PID Controllers

  • Lee, Moonyong;Park, Sunwon
    • Transactions on Control, Automation and Systems Engineering
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    • 제2권3호
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    • pp.196-200
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    • 2000
  • A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used fur on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.

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Process Control Using a Neural Network Combined with the Conventional PID Controllers

  • Lee, Moonyong;Park, Sunwon
    • Transactions on Control, Automation and Systems Engineering
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    • 제2권2호
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    • pp.136-139
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    • 2000
  • A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used for on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.

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이미지 프로세싱을 이용한 부유구조물의 2차원 위치 계측장치 개발 (Development of Two Dimensional Position Measuring Device for Floating Structure Using an Image Processing Method)

  • 지명석;김성근;김상봉
    • 한국해양공학회지
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    • 제8권2호
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    • pp.166-172
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    • 1994
  • This paper presents an image processing method for two dimensional position measurement of a floating structure. This method is based on image processing technique using concept of window and threshold processing to track the target object. The experimental results for position measurement of the target object in two dimensional water tank demonstrate the validity of this method.

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다변 광원 도광판에 대한 연구 (Analysis on LGP with Multi-Side-Lamp)

  • 박종렬;사종엽
    • 대한기계학회논문집A
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    • 제29권3호
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    • pp.361-368
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    • 2005
  • LGP(Light-Guide Panel) of LCD backlight is one of the major componets which affect on the product quality of LCD. The LGP with multi-side lamp has been analized for pattern design with the uniform distribution of brightness. When given the uniform distribution of brightness as target, the distribution of dot pattern has been designed for superposed distributions of brightness for each lamp. Multi-side lamp has been tested for various types such as ㄴ-, ㄷ-, and ㅁ -shapes. The present study enhances the possibility of LGP with multi-side lamp by showing the pricise control of brightness distribution.

COLOR CORRECTION METHOD USING GRAY GRADIENT BAR FOR MULTI-VIEW CAMERA SYSTEM

  • Jung, Jae-Il;Ho, Yo-Sung
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.1-6
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    • 2009
  • Due to the different camera properties of the multi-view camera system, the color properties of captured images can be inconsistent. This inconsistency makes post-processing such as depth estimation, view synthesis and compression difficult. In this paper, the method to correct the different color properties of multi-view images is proposed. We utilize a gray gradient bar on a display device to extract the color sensitivity property of the camera and calculate a look-up table based on the sensitivity property. The colors in the target image are converted by mapping technique referring to the look-up table. Proposed algorithm shows the good subjective results and reduces the mean absolute error among the color values of multi-view images by 72% on average in experimental results.

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Multi-Phase Model Update for System Identification of PSC Girders under Various Prestress Forces

  • Ho, Duc-Duy;Hong, Dong-Soo;Kim, Jeong-Tae
    • 한국전산구조공학회논문집
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    • 제23권6호
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    • pp.579-592
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    • 2010
  • This paper presents a multi-phase model update approach for system identification of prestressed concrete (PSC) girders under various prestress forces. First, a multi-phase model update approach designed on the basis of eigenvalue sensitivity concept is newly proposed. Next, the proposed multi-phase approach is evaluated from controlled experiments on a lab-scale PSC girder for which forced vibration tests are performed for a series of prestress forces. On the PSC girder, a few natural frequencies and mode shapes are experimentally measured for the various prestress forces. The corresponding modal parameters are numerically calculated from a three-dimensional finite element (FE) model which is established for the target PSC girder. Eigenvalue sensitivities are analyzed for potential model-updating parameters of the FE model. Then, structural subsystems are identified phase-by-phase using the proposed model update procedure. Based on model update results, the relationship between prestress forces and model-updating parameters is analyzed to evaluate the influence of prestress forces on structural subsystems.

3차원 다기능 레이더 고속 실시간 신호 처리기 개발 (Development of 3-D Multi-Function Radar High-Speed Real-Time Signal Processor)

  • 노지은;최병관;이희영;양진모;이광철;이동휘;정래형;김태환;이민준
    • 한국전자파학회논문지
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    • 제22권12호
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    • pp.1045-1059
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    • 2011
  • 3차원 다기능 레이더는 다수의 표적을 실시간으로 탐지, 추적하여 표적의 거리, 속도, 각도 정보를 추출하고 유도탄과의 교신을 통해 표적 위치 정보를 제공하는 최신 레이더이다. 본 논문에서는 다기능 레이더의 핵심 구성품이라 할 수 있는 고속 다중 DSP가 적용된 실시간 신호 처리기의 설계, 제작 및 성능 시험 결과에 대해 소개하였다. 기존의 CFAR 탐지 성능에 비해 열악한 클러터 환경에서 표적의 탐지 성능이 개선된 CFAR 알고리즘과 변별기 추정 방식을 이용한 정밀 표적 위치 측정 방법 및 최소값 추정 방식을 이용한 잡음 재밍 판단 알고리즘 등의 구현 결과들을 소개하였고, 성능 입증 시험을 통한 시험 결과들을 제시하였다.

복수영상기반 초해상도 색상인식능력향상 알고리즘의 무인기 적용 (Application of Multi-Frame Based Super-Resolution Algorithm for a Color Recognition Enhancement for the UAV)

  • 박지훈;김정호;이대우
    • 한국항공우주학회지
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    • 제45권3호
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    • pp.180-190
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    • 2017
  • 본 논문은 무인기를 통해 획득한 영상정보의 해상도를 향상시키기 위해 복수영상 기반 초해상도 기법을 적용하고, 이를 통한 무인기의 지상 목표물 인식 능력 향상에 대한 내용을 담고 있다. 이를 검증하기 위해 기체 제작 및 제어 시스템을 구축하였고, 무인기와 지상의 목표물을 이용해 설계한 알고리즘을 검증하였다. 실험 결과 초해상도 기법 적용 전, 후 영상을 비교하였을 때 RMSE는 0.0677에서 0.0315, NRMSE는 7.4030%에서 3.5726%로, PSNR은 23.3885dB에서 30.0036dB, SSIM은 0.6996에서 0.8948로 향상되었음을 확인하였다. 이를 통해 본 알고리즘을 적용하여 무인기 영상의 해상도를 향상시킬 수 있음을 검증하였다.