Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

Optimal Search on Navigation Equipment Troubleshooting Database

Authors
Minghai Li, Tianwei Li, Hairui Ma, Su Wang, Yili Liu, Dingding Guo
Corresponding Author
Minghai Li
Available Online August 2016.
DOI
10.2991/cset-16.2016.21How to use a DOI?
Keywords
Hash table, Hash function, Hash address, load factor, troubleshooting
Abstract

In order to diagnose and resolve issues occurred on navigation equipment quickly and accurately, an optimal search algorithm, Hash table and Hash function on a troubleshooting database of navigation equipment, are presented. The algorithm can directly find the issue reason and solution by searching Hash address calculated from Hash function. The average search time does not increase when the number of issue record increases. This paper shows how the algorithm is used to find the issue reason and solution in a troubleshooting database of navigation equipment. Thus, it can be widely used in many fields.

Copyright
© 2016, 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 2016 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-213-8
ISSN
2352-538X
DOI
10.2991/cset-16.2016.21How to use a DOI?
Copyright
© 2016, 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  - Minghai Li
AU  - Tianwei Li
AU  - Hairui Ma
AU  - Su Wang
AU  - Yili Liu
AU  - Dingding Guo
PY  - 2016/08
DA  - 2016/08
TI  - Optimal Search on Navigation Equipment Troubleshooting Database
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 84
EP  - 86
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.21
DO  - 10.2991/cset-16.2016.21
ID  - Li2016/08
ER  -