Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods

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
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 International Conference on Test, Measurement and Computational Methods
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-132-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/tmcm-15.2015.19How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 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  - https://doi.org/10.2991/tmcm-15.2015.19
ID  - Chai2015/11
ER  -