Parallel Computing Method for the Non-linear Model of Displacement Measurement
Authors
Yuze Chai, Jinchun Hu, Longmin Chen, Shengwu Du
Corresponding Author
Yuze Chai
Available Online November 2015.
- DOI
- 10.2991/tmcm-15.2015.19How to use a DOI?
- Keywords
- nonlinear model; parallel computing; task schedule; GA
- Abstract
Non-linear model of displacement and sensor detection is usually used in multi-DOF precise displacement measurement. The computing burden of these models is often too large to satisfy the need of real-time performance of displacement measurement. This paper proposes a parallel computing method based on the task scheduling model, and uses GA to optimize task scheduling plan to enhance the real-time performance of displacement measurement.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yuze Chai AU - Jinchun Hu AU - Longmin Chen AU - Shengwu Du PY - 2015/11 DA - 2015/11 TI - Parallel Computing Method for the Non-linear Model of Displacement Measurement BT - Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods PB - Atlantis Press SP - 74 EP - 78 SN - 2352-538X UR - https://doi.org/10.2991/tmcm-15.2015.19 DO - 10.2991/tmcm-15.2015.19 ID - Chai2015/11 ER -