• Title/Summary/Keyword: shadow algorithm

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Fire Detection in Outdoor Using Statistical Characteristics of Smoke (연기의 통계적 특성을 이용한 실외 화재 감지)

  • Kim, Hyun-Tae;Park, Jang-Sik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.2
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    • pp.149-154
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    • 2014
  • Detection performance of fire detection in the outdoor depends on weather conditions, the shadow by the movement of the sun, or illumination changes. In this paper, a smoke detection in conjunction with a robust background estimate algorithm to environment change in the outdoor in daytime is proposed. Gaussian Mixture Model (GMM) is applied as background estimation, and also, statistical characteristics of smoke is applied to detect the smoke for separated candidate region. Through the experiments with input videos obtained from a various weather conditions, the proposed algorithms were useful to detect smoke in the outdoor.

Converter to Compensate for PV Module Mismatch in Solar PV String (PV 스트링의 모듈 부정합 보상용 컨버터)

  • Park, Gi-Yob;Ahn, Hee-Wook
    • Proceedings of the KIPE Conference
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    • 2009.11a
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    • pp.123-125
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    • 2009
  • Mismatch of electrical characteristics of modules in PV string invokes mismatch power loss. The mismatch occurs due to various causes such as shadow, aging, contamination, and module exchange. The concept of mismatch compensation converter(MCC) is presented in this paper to remedy the mismatch loss problem. MCC is connected to irregular modules only. MCC is composed of dc-dc converter and MPPT controller. It is noted that MPPT algorithm is employed to control MCC and is effective for maximum power available from irregular modules. The selection guide of MPPT control period is given based on the period of MPPT in PCU. The effectiveness of the MCC is verified by a prototype experiment.

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The Development and Evaluation of OMM(On the Machine Measuring) System Using Scanning Probe (Scanning Probe를 이용한 OMM(On the Machine Measuring) 시스템 개발 및 평가)

  • Kim, S.H.;Kim, I.H.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.10
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    • pp.71-77
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    • 1996
  • This paper describes the development of on the machine measuring(OMM) system which can directlry measure the three dimensional machined dimensilnal accuracy using scanning probe in milling machine. Two algolithms, continuous path(CP) measurement using UC program and CAD data assisted point to point(PTP) measurement, were developed regarding specification of scanning probe. The OMM system was contructed to verify the developed system suing the proposed algorithm, and actually measured three kinds of machined TV shadow mask molds. The developed system was evaluated it's repeatability and compared with the current measurement system of CMM(Coording Measuring Machine) in terms of relative accuracy and time reduction and productivity increase.

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Performance Improvement of GPS/DR Car Navigation System Using Vehicle Movement Information (차량 움직임 정보를 이용한 GPS/DR 차량항법시스템 성능향상)

  • Song, Jong-Hwa;Kim, Kwang-Hoon;Jee, Gyu-In;Lee, Yeon-Seok
    • The Journal of Korea Robotics Society
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    • v.5 no.1
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    • pp.55-63
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    • 2010
  • This paper describes performance improvement of GPS/DR Integration system using area decision algorithm and vehicle movement information. In GPS signal blockage area, i.e., tunnel and underground parking area, DR sensor errors are accumulated and navigation solution is gradually diverged. We use the car movement information according to moving area to correct the DR sensor error. Also, vehicle movement is decided as stop, straight line, turn and movement changing region through DR sensor data analysis. The car experiment is performed to verify the supposed method. The results show that supposed method provides small position and heading error than previous method.

A vision based people tracking and following for mobile robots using CAMSHIFT and KLT feature tracker (캠시프트와 KLT특징 추적 알고리즘을 융합한 모바일 로봇의 영상기반 사람추적 및 추종)

  • Lee, S.J.;Won, Mooncheol
    • Journal of Korea Multimedia Society
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    • v.17 no.7
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    • pp.787-796
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    • 2014
  • Many mobile robot navigation methods utilize laser scanners, ultrasonic sensors, vision camera, and so on for detecting obstacles and path following. However, human utilizes only vision(e.g. eye) information for navigation. In this paper, we study a mobile robot control method based on only the camera vision. The Gaussian Mixture Model and a shadow removal technology are used to divide the foreground and the background from the camera image. The mobile robot uses a combined CAMSHIFT and KLT feature tracker algorithms based on the information of the foreground to follow a person. The algorithm is verified by experiments where a person is tracked and followed by a robot in a hallway.

A Study on The Application and The Location of FACTS for Congestion Prob (혼잡해결을 위한 FACTS 기기의 적용과 위치선정)

  • Moon, Jun-Mo;Jung, Yun-Ho;Lee, Kwang-Ho
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.22-24
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    • 2000
  • As a competition is introduced in the electricity supply industry, a congestion problem arises in the transmission network. The congestion causes the transmission cost to increase. One way to decrease the congestion cost is to control the transmission flow through the installation of FACTS(Flexible AC Transmission system). This paper deals with the optimal site of the FACTS for reducing the congestion cost using a shadow price which is one of the economic signals for the systems. Test results show that the site of the FACTS(UPFC) is optimal to minimize the congestion cost by the proposed algorithm.

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The Analysis of Measuring Error in OMM System (OMM 시스템에서의 측정오차 해석)

  • 이상준;김선호;김옥현
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.5
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    • pp.34-42
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    • 1998
  • This paper describes an analysis of measuring error of on the machine measuring(OMM) system which directly measures machined surface dimensions using scanning probe on a CNC milling machine. 21 inch TV shadow mask mould clamped to a pallet was measured using PTP(point to point) measuring algorithm in OMM system and the results were compared with those using coordinate measuring machine(CMM). The OMM error was evaluated by probe error, stylus contact error, center shift error, repeatability, work-piece clamping error and etc. The results show that elastic deformation of the pallet is most affecting factor on the measuring error, thus pallet design and clamping method need very careful cosiderations.

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The Error Source Analysis of Measuring Data of OMM System (OMM 시스템의 측정오차 원인분석 및 대책)

  • 이상준;김선호;김옥현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.73-77
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    • 1997
  • This paper describes the analysis of measuring error of on the machine measuring(OMM) system which can directly measure the three dimensional machined free surface dimension using scanning probe on milling machine. 21 inch TV shadow mask mould was measured using PTP(point to point)measurement algorithm at pallet clamped and unclamped state on OMM system, and using coordinate measuring machine(CMM) one after another. The OMM system was evaluated probe error, stylus contact error, center shift error, repeatability and so on. Consequencely, the conclusion derived that elastic displacement of pallet had effect on measuring error mainly, and pallet design and setup method would be important.

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A Study on the Optimal Site of TCSC for Reducing Congestion Cost (혼잡비용 감소를 위한 TCSC의 최적위치에 관한 연구)

  • Lee, Gwang-Ho;Mun, Jun-Mo
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.49 no.5
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    • pp.220-225
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    • 2000
  • As a competition is introduced in the electricity supply industry, a congestion problem arises in the transmission network. The congestion causes the transmission cost to increase. One way to decrease the congestion cost is to control the transmission flow through the installation of TCSC(Thyrister Controlled Series Capacitor). This paper deals with the optimal site of the TCSC for reducing the congestion cost using a shadow price which is one of the economic signals for the systems. Test results show that the site of the TCSC is optimal to minimize the congestion cost by the proposed algorithm.

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Object Tracking Based on Gaussian Mixture Model Algorithm by Using Cuda (Cuda를 이용한 가우시언 믹스처 모델 기반 객체 추적 알고리즘)

  • Kim, In-Su;Choi, Hyung-Il
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.01a
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    • pp.273-275
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    • 2011
  • 본 논문에서는 효과적인 객체 추적을 위해 가우시언 믹스처 기반의 그림자 제거 알고리즘을 제안하고, GPGPU(General Purpose GPU) 아키텍처인 NVIDIA 사의 CUDA(Compute Unified Device Architecture)를 이용하여 기존의 객체 추적 알고리즘의 컴퓨팅 시간을 개선하는 모델을 제안한다. 이 시스템은 GPU를 이용한 가우시언 믹스처 모델 기반의 객체 추적 알고리즘으로 전경과 배경 분리 시 CPU와 GPU의 프로세스 시간을 적절히 분배하여 소모되는 연산시간을 줄이고, 고 해상도의 이미지에서의 객체 분리 및 추적의 시스템 처리량을 최대화 한다. 객체 추출 후 효과적인 추적을 위해 예측 모델인 칼만 필터를 사용한다.

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