• 제목/요약/키워드: propagation error

검색결과 1,011건 처리시간 0.026초

다축 힘센서에서 힘감지 오차의 전파 (Force-Sensing Error Propagation in Multi-Axis Force Sensors)

  • 강철구
    • 대한기계학회논문집A
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    • 제24권11호
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    • pp.2688-2695
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    • 2000
  • In multi-axis force sensor, compliance matrices representing structural behaviour of internal sensor bodies play an important role in decoupled sensing and accuracy, Recently, error propagation through compliance matrices has been studied via approximation approach. However the upper bound of measured force error has not been known. In this paper, error propagation in force sensing is analysed in a unified way when both strain measurement error and compliance matrix error exist, and the upper bound of the measured force error is derived exactly(not approximately). The analysis is examined through a numerical example.

Error propagation effects for explicit pseudodynamic algorithms

  • Chang, Shuenn-Yih
    • Structural Engineering and Mechanics
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    • 제10권2호
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    • pp.157-164
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    • 2000
  • This paper discusses the error propagation characteristics of the Newmark explicit method, modified Newmark explicit method and ${\alpha}$-function dissipative explicit method in pseudodynamic tests. The Newmark explicit method is non-dissipative while the ${\alpha}$-function dissipative explicit method and the modified Newmark explicit method are dissipative and can eliminate the spurious participation of high frequency responses. In addition, error propagation analysis shows that the modified Newmark explicit method and the ${\alpha}$-function dissipative explicit method possess much better error propagation properties when compared to the Newmark explicit method. The major disadvantages of the modified Newmark explicit method are the positive lower stability limit and undesired numerical dissipation. Thus, the ${\alpha}$-function dissipative explicit method might be the most appropriate explicit pseudodynamic algorithm.

Polygonal finite element modeling of crack propagation via automatic adaptive mesh refinement

  • Shahrezaei, M.;Moslemi, H.
    • Structural Engineering and Mechanics
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    • 제75권6호
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    • pp.685-699
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    • 2020
  • Polygonal finite element provides a great flexibility in mesh generation of crack propagation problems where the topology of the domain changes significantly. However, the control of the discretization error in such problems is a main concern. In this paper, a polygonal-FEM is presented in modeling of crack propagation problems via an automatic adaptive mesh refinement procedure. The adaptive mesh refinement is accomplished based on the Zienkiewicz-Zhu error estimator in conjunction with a weighted SPR technique. Adaptive mesh refinement is employed in some steps for reduction of the discretization error and not for tracking the crack. In the steps that no adaptive mesh refinement is required, local modifications are applied on the mesh to prevent poor polygonal element shapes. Finally, several numerical examples are analyzed to demonstrate the efficiency, accuracy and robustness of the proposed computational algorithm in crack propagation problems.

오류 역전파법으로구현한 컬러 인쇄물 검사에 관한 연구 (A study on the realization of color printed material check using Error Back-Propagation rule)

  • 한희석;이규영
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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    • pp.560-567
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    • 1998
  • This paper concerned about a imputed color printed material image in camera to decrease noise and distortion by processing median filtering with input image to identical condition. Also this paper proposed the way of compares a normal printed material with an abnormal printed material color tone with trained a learning of the error back-propagation to block classification by extracting five place from identical block(3${\times}$3) of color printed material R, G, B value. As a representative algorithm of multi-layer perceptron the error Back-propagation technique used to solve complex problems. However, the Error Back-propagation is algorithm which basically used a gradient descent method which can be converged to local minimum and the Back Propagation train include problems, and that may converge in a local minimum rather than get a global minimum. The network structure appropriate for a given problem. In this paper, a good result is obtained by improve initial condition and adjust th number of hidden layer to solve the problem of real time process, learning and train.

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TWR 기반 군집 협업측위 시스템의 오차 전파 분석 (Analysis of Error Propagation in Two-way-ranging-based Cooperative Positioning System)

  • 임정민;이창은;성태경
    • 제어로봇시스템학회논문지
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    • 제21권9호
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    • pp.898-902
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    • 2015
  • Alternative radio-navigation technologies aim at providing continuous navigation solution even if one cannot use GNSS (Global Navigation Satellite System). In shadowing region such as indoor environment, GNSS signal is no longer available and the alternative navigation system should be used together with GNSS to provide seamless positioning. For soldiers in battlefield where GNSS signal is jammed or in street battle, the alternative navigation system should work without positioning infrastructure. Moreover, the radio-navigation system should have scalability as well as high accuracy performance. This paper presents a TWR (Two-Way-Ranging)-based cooperative positioning system (CPS) that does not require location infrastructure. It is assumed that some members of CPS can obtain GNSS-based position and they are called mobile anchors. Other members unable to receive GNSS signal compute their position using TWR measurements with mobile anchors and neighboring members. Error propagation in CPS is analytically studied in this paper. Error budget for TWR measurements is modeled first. Next, location error propagation in CPS is derived in terms of range errors. To represent the location error propagation in the CPS, Location Error Propagation Indicator (LEPI) is proposed in this paper. Simulation results show that location error of tags in CPS is mainly influenced by the number of hops from anchors to the tag to be positioned as well as the network geometry of CPS.

Error-detection-coding-aided iterative hard decision interference cancellation for MIMO systems with HARQ

  • Park, Sangjoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권3호
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    • pp.1016-1030
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    • 2018
  • In this paper, an error-detection-coding-aided iterative hard decision interference cancellation (EDC-IHIC) scheme for multiple-input multiple-output systems employing hybrid automatic repeat request (HARQ) for multi-packet transmission is developed and investigated. In the EDC-IHIC scheme, only packets identified as error-free by the EDC are submitted to the interference cancellation (IC) stage for cancellation from the received signals. Therefore, the possibility of error propagation, including inter-transmission error propagation, can be eliminated using EDC-IHIC. Because EDC must be implemented in systems that employ HARQ to determine packet retransmission, error propagation can be prevented without the need for additional redundancy. The results of simulations conducted herein verify that the EDC-IHIC scheme outperforms conventional hard decision IC schemes in terms of the packet error rate in various environments.

무선 비디오 센서 네트워크에서 스케일러블 비디오 전송을 위한 계층 기반 협업 중계 알고리즘* (Layer based Cooperative Relaying Algorithm for Scalable Video Transmission over Wireless Video Sensor Networks)

  • 하호진
    • 디지털산업정보학회논문지
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    • 제18권4호
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    • pp.13-21
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    • 2022
  • Recently, in wireless video sensor networks(WVSN), various schemes for efficient video data transmission have been studied. In this paper, a layer based cooperative relaying(LCR) algorithm is proposed for minimizing scalable video transmission distortion from packet loss in WVSN. The proposed LCR algorithm consists of two modules. In the first step, a parameter based error propagation metric is proposed to predict the effect of each scalable layer on video quality degradation at low complexity. In the second step, a layer-based cooperative relay algorithm is proposed to minimize distortion due to packet loss using the proposed error propagation metric and channel information of the video sensor node and relay node. In the experiment, the proposed algorithm showed that the improvement of peak signal-to-noise ratio (PSNR) in various channel environments, compared to the previous algorithm(Energy based Cooperative Relaying, ECR) without considering the metric of error propagation.The proposed LCR algorithm minimizes video quality degradation from packet loss using both the channel information of relaying node and the amount of layer based error propagation in scalable video.

Sensitivity and Error Propagation Factors for Three-Parameter Ellipsometry

  • Ihm, Hye-Ran;Chung, Gyu-Sung;Paik, Woon-Kie;Lee, Duck-Hwan
    • Bulletin of the Korean Chemical Society
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    • 제15권11호
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    • pp.976-980
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    • 1994
  • The sensitivity factors and the error propagation factors are defined for the three-parameter ellipsometry (TPE). The sensitivity factor is useful for understanding the nature of the TPE measurements in connection with determination of the optical properties and the thickness of a film. On the other hand, the error propagation factors provide a quantitative tool for predicting the optimum condition for TPE experiments. Their usefulness is demonstrated for the passive film formed on nickel in aqueous solution.

H.263에 적합한 개선된 에러 트래킹 알고리즘 (Advanced Error Tracking Algorithm for H.263)

  • Hyo-seok Lee;Soo-Mok Jung
    • 한국컴퓨터산업학회논문지
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    • 제5권1호
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    • pp.123-130
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    • 2004
  • 본 논문에서는 피드백 채널을 사용하여 error resilient transmission에 적합한 개선된 에러 트래킹 알고리즘을 제안하였다. 오염된 블록들의 주소는 디코더에 의하여 인코더에게 보고 된다. 제안된 알고리즘을 사용하여 에러 전파를 줄였다. 인코더는 피드백 채널의 negative acknowledgement를 가지고 역방향 움직임 의존도를 조사하여 전파된 에러를 현재 인코딩 되는 프레임 내에서 정확하게 추적한다. 제안된 에러 트래킹 알고리즘을 사용하여 영향을 받은 매크로 블록을 INTRA 코딩함으로 에러 전파효과를 완전히 종식시킬 수 있다. 선택적으로 네 모서리 에러 트래킹 근사를 사용하는 제안된 알고리즘의 에러트래킹 연산량은 전체 픽셀을 사용한 경우의 에러트래킹의 연산량에 비하여 매우 적으나 영상의 질은 동일하게 유지된다.

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Improving the Error Back-Propagation Algorithm for Imbalanced Data Sets

  • Oh, Sang-Hoon
    • International Journal of Contents
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    • 제8권2호
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    • pp.7-12
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    • 2012
  • Imbalanced data sets are difficult to be classified since most classifiers are developed based on the assumption that class distributions are well-balanced. In order to improve the error back-propagation algorithm for the classification of imbalanced data sets, a new error function is proposed. The error function controls weight-updating with regards to the classes in which the training samples are. This has the effect that samples in the minority class have a greater chance to be classified but samples in the majority class have a less chance to be classified. The proposed method is compared with the two-phase, threshold-moving, and target node methods through simulations in a mammography data set and the proposed method attains the best results.