• Title/Summary/Keyword: 이중비율적분

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Parallel Integration for Real-Time Simulation (실시간 시뮬레이션을 위한 병렬적분)

  • Lee, W.S.;Samson, J.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.2 no.1
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    • pp.106-115
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    • 1994
  • A parallel integration approach is proposed for real-time simulation of controlled mechanical systems. The proposed approach, which employs the dual-rate integration method in a parallel computing environment, is developed to deal with stiffness and high frequency characteristics of the controlled mechanical systems effectively. Numerical experiments are performed to demonstrate the effectiveness of the approach in shared memory multiprocessors, Alliant FX/8 and Alliant FX/80.

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Development of Gait Distance Measurement System Based on Inertial Measurement Units (관성측정장치를 이용한 보행거리 측정 시스템 개발)

  • Lee, K.H.;Kang, S.I.;Cho, J.S.;Lim, D.H.;Lee, J.S.;Kim, I.Y.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.9 no.2
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    • pp.161-168
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    • 2015
  • In this paper, we present an inertial sensor-based gait distance measurement system using accelerometer, gyroscope, and magnetometer. To minimize offset and gain error of inertial sensors, we performed the calibration using the self-made calibration jig with 9 degrees of freedom. For measuring accurate gait distance, we used gradient descent algorithm to remove gravity error and used analysis of gait pattern to remove drift error. Finally, we measured a gait distance by double-integration of the error-removed acceleration data. To evaluate the performance of our system, we walked 10m in a straight line indoors to observe the improvement of removing error which compared un-calibrated to calibrated data. Also, the gait distance measured by the system was compared to the measurement of the Vicon motion capture system. The evaluation resulted in the improvement of $31.4{\pm}14.38%$(mean${\pm}$S.D.), $78.64{\pm}10.84%$ and $69.71{\pm}26.25%$ for x, y and z axis, respectively when walked in a straight line, and a root mean square error of 0.10m, 0.16m, and 0.12m for x, y and z axis, respectively when compared to the Vicon motion capture system.

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