• Title/Summary/Keyword: 위치 오차 신호

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Development of Axial Power Distribution Monitoring System Using Two-Level Encore Detector (상하부 2개의 노외계측기를 이용한 축방향 출력분포 감시계통 개발)

  • Chi, Sung-Goo;Song, Jae-Woong;Ahn, Dwak-Hwan;Kuh, Jung-Eui
    • Nuclear Engineering and Technology
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    • v.21 no.4
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    • pp.294-301
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    • 1989
  • The Axial Power Distribution Monitoring System(APDMS) program was developed to calculate a detailed axial power distribution using two-level excore detector, cold leg temperature and control rod position signals. The unnormalized two-level excore detector signals were corrected for the rod shadowing factor determined by control rod position and for the temperature shadowing factor calculated based on cold leg temperature. A shape annealing matrix was then applied to the corrected excore detector response to yield peripheral power. After the core average power was obtained using linear relationship bet-ween core average and peripheral power, the boundary point power correction coefficient was applied to core average power in order to obtain boundary power for both upper and lower core axial boundaries. Then, the axial power distribution was synthesized by spline approximation. In spite of burnup, power level, control rod postion and axial offset changes, the comparisons of axial power distributions between BOXER simulation program and APDMS results showed good agreements within 5% root mean square error for Kori Unit 3 Cycle 4.

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Performance Enhancement of Algorithms based on Error Distributions under Impulsive Noise (충격성 잡음하에서 오차 분포에 기반한 알고리듬의 성능향상)

  • Kim, Namyong;Lee, Gyoo-yeong
    • Journal of Internet Computing and Services
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    • v.19 no.3
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    • pp.49-56
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    • 2018
  • Euclidean distance (ED) between error distribution and Dirac delta function has been used as an efficient performance criterion in impulsive noise environmentsdue to the outlier-cutting effect of Gaussian kernel for error signal. The gradient of ED for its minimization has two components; $A_k$ for kernel function of error pairs and the other $B_k$ for kernel function of errors. In this paper, it is analyzed that the first component is to govern gathering close together error samples, and the other one $B_k$ is to conduct error-sample concentration on zero. Based upon this analysis, it is proposed to normalize $A_k$ and $B_k$ with power of inputs which are modified by kernelled error pairs or errors for the purpose of reinforcing their roles of narrowing error-gap and drawing error samples to zero. Through comparison of fluctuation of steady state MSE and value of minimum MSE in the results of simulation of multipath equalization under impulsive noise, their roles and efficiency of the proposed normalization method are verified.

An Estimation Method of Node Position in Wireless Sensor Network (무선 센서 네트워크에서의 노드 위치 추정)

  • Rhim, Chul-Woo;Kim, Young-Rag;Kang, Byung-Wook
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.3
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    • pp.123-129
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    • 2009
  • It is important to locate nodes in the research of wireless sensor network. In this paper, we propose a method that estimates the positions of nodes by using adjacent node information and signal strength in wireless sensor network. With this method, we can find positions of nodes easily because we use Information that nodes have. And we can make a map for all the nodes because we can measure a relative position for an node whose position is not known based on anchor nodes whose positions are already known. In addition, we can confirm whether nodes are placed appropriately. We confirmed that we can locate positions of unknown nodes with small error through verifying the proposed method.

Development of Software GPS Receiver for GEO Satellites Using Weak Signal Receiver Algorithm (미약신호 수신 알고리즘을 활용한 정지궤도위성 탑재용 소프트웨어 GPS 수신기 개발)

  • Kim, Chong-Won;Kim, Ghang-Ho;Kee, Chang-Don
    • Journal of Advanced Navigation Technology
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    • v.18 no.4
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    • pp.312-318
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    • 2014
  • The altitudes of GEO satellites are higher than those of GPS satellites. Therefore the visibility and the received power of GPS signals are totally different from those of the users near the Earth's surface. In this study, we analyzed the visibility of GPS signals received on GEO satellites. And we also developed a software GPS receiver that works on GEO satellites using CCMDB algorithm which is a weak signal receiver algorithm. GPS signals received on a GEO satellite are generated by a commercial hardware GPS simulator and used for the verification of the developed software GPS receiver. The mean 3D position and velocity error are calculated as 165.636 m and 0.5081 m/s.

Development of Acoustic Positioning System for ROV using SBL System (SBL방식을 이용한 무인잠수정의 수중초음파 위치측정시스템 개발)

  • Yu, Son-Cheol;Byun, Seung-Woo;Kim, Joon-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.3
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    • pp.808-814
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    • 2010
  • In this paper we executed a SBL(Short Baseline) underwater acoustic positioning system that is a kind of underwater position estimation system to estimates the 3-dimensional position of ROV(Remotely Operated Vehicle) using hydrophones and DAQ(Data Acquisition) system in the basin which dimensions are $3{\times}3{\times}1.7(m)$. For this experiment, we let 4 hydrophones in different positions of the basin for receiver and 1 hydrophone is fixed on the underwater vehicle for transmitting sensor(pinger). These five hydrophones are communicated with each other to find the 3-D positions of the moving ROV in the basin. The measured signals are collected by DAQ system and the positions of the ROV are plotted by LabView program in real-time. To estimate the position of the ROV we used a trigonometric method. In X and Y plane the estimated data has a small errors but in Z plane the estimated data has large errors so we cannot use this data for position control. One solution of this problem is using depth sensor that implemented of the underwater vehicle. Hereafter, we will test in the ocean using designed SBL system.

Simultaneous Estimation of Landmark Location and Robot Pose Using Particle Filter Method (파티클 필터 방법을 이용한 특징점과 로봇 위치의 동시 추정)

  • Kim, Tae-Gyun;Ko, Nak-Yong;Noh, Sung-Woo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.3
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    • pp.353-360
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    • 2012
  • This paper describes a SLAM method which estimates landmark locations and robot pose simultaneously. The particle filter can deal with nonlinearity of robot motion as well as the non Gaussian property of robot motion uncertainty and sensor error. The state to be estimated includes the locations of landmarks in addition to the robot pose. In the experiment, four beacons which transmit ultrasonic signal are used as landmarks. The robot receives the ultrasonic signals from the beacons and detects the distance to them. The method uses rang scanning sensor to build geometric feature of the environment. Since robot location and heading are estimated by the particle filter, the scanned range data can be converted to the geometric map. The performance of the method is compared with that of the deadreckoning and trilateration.

ASF 보상 방법에 따른 eLoran/GPS 통합항법 알고리즘 성능 개선

  • Song, Se-Pil;Jo, Seong-Han;Choe, Heon-Ho;Kim, Yeong-Baek;Lee, Sang-Jeong;Park, Chan-Sik
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2011.11a
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    • pp.193-195
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    • 2011
  • GPS는 높은 정확도를 갖지만 신호 간섭에 취약하다. 따라서 Loran-C의 정확도를 개선한 eLoran이 GPS의 보조항법 시스템으로 고려되고 있다. 본 논문에서는 eLoran/GPS 통합 항법 알고리즘에서 eLoran의 오차 요소인 ASF를 보상하는 방법에 따른 위치추정 결과의 정확도를 분석한다.

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고전압 측정기술

  • 길경석;이복희;하성철
    • 전기의세계
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    • v.46 no.8
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    • pp.41-46
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    • 1997
  • 최근 가스절연변전소와 같은 컴팩트화된 전력설비의 사용으로 과도전압 및 충격전류의 측정시 오차를 유발시키고 장해를 가져오는 요인 중에서 가장 현저한 것은 전자계 현상이며, 이에 대한 대책과 장해의 제거방법이 검토되어야만 한다. 또한 전력기기의 사용 중에 발생되는 과도전압과 충격전류는 진행파로서 작용하여 발생지점과 측정위치에 따라 달라지므로 종래의 저항분압기, 용량성분압기로는 정확한 측정이 불가능하기 때문에 전기적 신호의 과도적 현상을 직접 감지할 수 있는 측정장치가 필요하다. 다음의 3가지 고전압 측정기술은 피측정대상에 따라 가장 적합하게 제안된 것으로 측정응답을 개선하고 전자계의 영향을 최소화함으로써 정확한 측정이 가능하다.

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보급형 u-로봇을 위한 스테레오 영상 칩을 탑재한 임베디드 시스템 및 이를 활용한 실시간 제스처 인식 알고리즘

  • Sin, Ho-Cheol;Kim, Yeong-Geun;Jo, Jae-Il
    • Information and Communications Magazine
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    • v.25 no.4
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    • pp.11-15
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    • 2008
  • 제스처 인식은 로봇의 활용에 유용한 기능이지만 많은 계산 량이 요구되므로 보급형 u-로봇에는 탑재되기 어려운 단점이 있다. 따라서 u-로봇에서 일차적인 영상처리를 수행하고, 핵심 데이터만 u-로봇서버에 전송하여 다양한 응용을 수행하는 분산시스템을 구성할 필요가 있다. 본 연구에서는 스테레오 영상칩을 탑재한 ASIC과 임베디드 시스템을 활용하여 사용자의 상체 자세를 검출할 수 있는 알고리즘을 개발하고 성능을 검증하였다. 개발된 시스템은 사용자의 다양한 상체자세를 최대 30fps까지 실시간으로 검출할 수 있으며 80%전후의 검출률과 10cm전후의 손과 팔꿈치의 위치오차를 보였다.

A Method of Speed-Adaptive Location Estimation Based on Hybrid(TDOA-RSSI) and Least Square Method in RTLS System (RTLS 시스템에서 Hybrid(TDOA-RSSI)와 최소자승법을 기반으로 한 속도적응형 위치추적방법)

  • Lee, Jung Woo;Ha, Deock-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.737-740
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    • 2009
  • In this paper, in order to improve the location estimation error existing in RTLS(Real Time Location Service) system for the mobility individual, we proposed a method of speed-adaptive location estimation that the transmitting signaling period is adaptively changed according to the changing speed of a mobility individual for each location interval. To get the more accurate location estimation values, we analyzed both the location values measured by Hybrid(TDOA and RSSI) method by using AeroScout TM RTLS system and the estimated value obtained from the theoretical calculation by using the Least Squares Method. Finally, we compared the analyzed values with a real location of mobility individual. From the experimental results based on our proposed method, it can be seen that the location estimation error for the real location of a mobility individual can be improved.

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