• Title/Summary/Keyword: Location Error

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SDS-TWR based Location Compensation Mechanism for Localization System in Wireless Sensor Network

  • Lee, Dong-Myung
    • Journal of Engineering Education Research
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    • v.13 no.5
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    • pp.76-80
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    • 2010
  • In this paper, the Location Compensation Mechanism using equivalent distance rate ($LCM_{edr}$) for localization system based on SDS-TWR (Symmetric Double-Sided Two-Way Ranging) in wireless sensor network is proposed. The performance of the mechanism is experimented in terms of two types of the localization tracking scenarios of indoor and outdoor environments in university campus. From the experimentations, the compensation ratio in the $LCM_{edr}$ is better than that in SDS-TWR about 90% in indoor/outdoor environments in scenario 1 but also is better than that of SDS-TWR about 91.7% in indoor environment and about 100% in outdoor environment in scenario 2 respectively.

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Optimization of base stations' configuration in UWB-based indoor localization (UWB를 이용한 실내측위의 베이스 스테이션 최적 배치)

  • Chang Ho-Wook;Cha Maeng-Q.;Kim Yong-Il;Yu Ki-Yun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.3-7
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    • 2006
  • Indoor localization is getting more and more importance with the increasing demand for location based service. Location based service necessarily requires the information about customers' locations to provide them the right service according to their changing locations. To satisfy that requirement, GPS is used to achieve outdoor localization. However, there is no leading technology to achieve indoor localization. Indoor localization through UWB wave and TDOA algorithm is considered as the most accurate method until now. In implementing that method, configuration of base stations that serve as control points affects the localization accuracy. Thus, this paper discusses about optimal configuration of base stations. The variation in localization accuracy according to spatial relationship between an object and base stations Is mentioned through SEP also.

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Application of Constrained Bayes Estimation under Balanced Loss Function in Insurance Pricing

  • Kim, Myung Joon;Kim, Yeong-Hwa
    • Communications for Statistical Applications and Methods
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    • v.21 no.3
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    • pp.235-243
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    • 2014
  • Constrained Bayesian estimates overcome the over shrinkness toward the mean which usual Bayes and empirical Bayes estimates produce by matching first and second empirical moments; subsequently, a constrained Bayes estimate is recommended to use in case the research objective is to produce a histogram of the estimates considering the location and dispersion. The well-known squared error loss function exclusively emphasizes the precision of estimation and may lead to biased estimators. Thus, the balanced loss function is suggested to reflect both goodness of fit and precision of estimation. In insurance pricing, the accurate location estimates of risk and also dispersion estimates of each risk group should be considered under proper loss function. In this paper, by applying these two ideas, the benefit of the constrained Bayes estimates and balanced loss function will be discussed; in addition, application effectiveness will be proved through an analysis of real insurance accident data.

Two-Terminal Fault Location Estimation Algorithm Considering Arcing Ground Fault (아크 지락 사고를 고려한 양단자 사고거리 추정 알고리즘)

  • Kim, Hyun-Houng;Lee, Chan-Joo;Cho, Ki-Sun;Park, Jong-Bae;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 2005.07a
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    • pp.166-168
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    • 2005
  • This paper presents a new numerical algorithm devoted to one window onto fault location calculation in time domain. It is based on two terminal data processing and it is derived on the synchronized phasor measured from the GPS connected the trans-mission line. The data is obtained by the testing through EMTP (Electromagnetic Tran- sient Program). The proposed the algorithm is estimated using linear least error squares method. The results of the algorithm testing through computer simulation (MATLAB) are presented.

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Analysis to distance and train speed of portable alarm system using GPS and RF mode (휴대용 열차접근경보장치에 적용되는 GPS모드와 RF모드의 거리 및 속도 분석)

  • Kwon Ki Jin;Ohn Jung-Ghun;Shim Jae-bock;Choi Yung ha
    • Proceedings of the KSR Conference
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    • 2004.06a
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    • pp.1471-1473
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    • 2004
  • A portable train approaching warning device can be used in order to reduce accidents of the workers on the rail, who are working without recognizing the approaching train, and to secure the safety of the workers. It can be installed in the train so that workers can recognize the approaching train. However, it is not easy to identify the location of the train precisely. In this study GPS and RF devices, which are used to calculate the location of the train were reviewed, to see how much error tolerance they have in the field, to analyze the distance for normal transmission between the receiver and transmitter, to verify the conformity of the portable train approaching warning device developed as a prototype model to the current rail system, and to provide the related fields with the analysis results to improve the existing or application technology. Additionally, test methods to locate the train were introduced and each test result was compared and analyzed.

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Localization System for Mobile Robot Using Electric Compass and Tracking IR Light Source (전자 나침반과 적외선 광원 추적을 이용한 이동로봇용 위치 인식 시스템)

  • Son, Chang-Woo;Lee, Seung-Heui;Lee, Min-Cheol
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.8
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    • pp.767-773
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    • 2008
  • This paper presents a localization system based on the use of electric compass and tracking IR light source. Digital RGB(Red, Green, Blue)signal of digital CMOS Camera is sent to CPLD which converts the color image to binary image at 30 frames per second. CMOS camera has IR filter and UV filter in front of CMOS cell. The filters cut off above 720nm light source. Binary output data of CPLD is sent to DSP that rapidly tracks the IR light source by moving Camera tilt DC motor. At a robot toward north, electric compass signals and IR light source angles which are used for calculating the data of the location system. Because geomagnetic field is linear in local position, this location system is possible. Finally, it is shown that position error is within ${\pm}1.3cm$ in this system.

An Indentation Theory Based on FEA Solutions for Property Evaluation (유한요소해에 기초한 물성평가 압입이론)

  • Lee, Hyeong-Il;Lee, Jin-Haeng
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.11
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    • pp.1685-1696
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    • 2001
  • A novel indentation theory is proposed by examining the data from the incremental plasticity theory based finite element analyses. First the optimal data acquisition location is selected, where the strain gradient is the least and the effect of friction is negligible. This data acquisition point increases the strain range by a factor of five. Numerical regressions of obtained data exhibit that strain hardening exponent and yield strain are the two main parameters which govern the subindenter deformation characteristics. The new indentation theory successfully provides the stress-strain curve with an average error less than 5%.

A multi-crack effects analysis and crack identification in functionally graded beams using particle swarm optimization algorithm and artificial neural network

  • Abolbashari, Mohammad Hossein;Nazari, Foad;Rad, Javad Soltani
    • Structural Engineering and Mechanics
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    • v.51 no.2
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    • pp.299-313
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    • 2014
  • In the first part of this paper, the influences of some of crack parameters on natural frequencies of a cracked cantilever Functionally Graded Beam (FGB) are studied. A cantilever beam is modeled using Finite Element Method (FEM) and its natural frequencies are obtained for different conditions of cracks. Then effect of variation of depth and location of cracks on natural frequencies of FGB with single and multiple cracks are investigated. In the second part, two Multi-Layer Feed Forward (MLFF) Artificial Neural Networks (ANNs) are designed for prediction of FGB's Cracks' location and depth. Particle Swarm Optimization (PSO) and Back-Error Propagation (BEP) algorithms are applied for training ANNs. The accuracy of two training methods' results are investigated.

Power System Fault Monitoring System using Wavelelet Transform and GPS for Accurate Time Synchronization (웨이블릿 변환과 GPS 정밀시각동기를 이용한 전력계통 고장점 모니터링 시스템에 관한 연구)

  • Kim, Gi-Taek;Kim, Hyuck-Soo;Choi, Jung-Yong
    • Journal of Industrial Technology
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    • v.21 no.A
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    • pp.105-110
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    • 2001
  • A continuous and reliable electrical energy supply is the objective of any power system operation. A transmission line is the part of the power system where faults are most likely to happen. This paler describes the use of wavelet transform for analyzing power system fault transients in order to determine the fault location. Synchronized sampling was made possible by precise time receivers based on GPS time reference, and the sampled data were analyzed using wavelet transform. This paper describes a fault location monitoring system and fault locating algorithm with GPS, DSP processor, and data acquisition board, and presents some experimental results and error analysis.

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A Novel Indentation Theory Based on Incremental Plasticity Theory (증분소성이론에 준한 새 압입이론)

  • Lee, Hyung-Yil;Lee, Jin-Haeng
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.185-192
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    • 2000
  • A novel indentation theory is proposed by examining the data from the incremental plasticity theory based finite element analyses. First the optimal data acquisition location is selected, where the strain gradient is the least and the effect of friction is negligible. This data acquisition point increases the strain range by a factor of five. Numerical regressions of obtained data exhibit that strain hardening exponent and yield strain are the two main parameters which govern the subindenter deformation characteristics. The new indentation theory successfully provides the stress-strain curve with an average error less than 3%.

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