Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

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The Dynamic Rate-limiting Filtering Based on Preprocessing Sensor Data

Authors
Tang Chao, Wan Zhou
Corresponding Author
Tang Chao
Available Online June 2015.
DOI
10.2991/kam-15.2015.21How to use a DOI?
Keywords
noise interference; blunder error; the dynamic rate-limiting filtering.
Abstract

Aiming at the noise inference when sensors testing data, this paper proposes a dynamic rate-limiting filtering algorithm to discover and eliminate the error. By the algorithm the author intends to preprocess the sensor output data to effectively eliminate the blunder error and ensure the data accurate and effective, thus improving the robustness of the overall system.

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/).

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Volume Title
Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
10.2991/kam-15.2015.21
ISSN
1951-6851
DOI
10.2991/kam-15.2015.21How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Tang Chao
AU  - Wan Zhou
PY  - 2015/06
DA  - 2015/06
TI  - The Dynamic Rate-limiting Filtering Based on Preprocessing Sensor Data
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 74
EP  - 75
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.21
DO  - 10.2991/kam-15.2015.21
ID  - Chao2015/06
ER  -