DocumentCode
1991111
Title
An improved algorithm of compressing redundant data
Author
Zhu, Yaohua ; Hao, Wenning ; Chen, Gang ; Zhao, Shuining ; Jin, Dawei
Author_Institution
Eng. Inst. of Corps of Eng., PLA Univ. of Sci. & Technol., Nanjing, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
983
Lastpage
985
Abstract
The database has a large redundant data for Compass Navigation Satellite System (CNSS) always gives different values in different time even the user is stationary. In order to solve the problem, this paper first analyzes the existing algorithm of compressing redundant data based on clustering, and then proposes a comparison algorithm based on time-series. The latter deletes the redundant data so concisely and avoids analyzing the various movement characteristic of users.
Keywords
aerospace computing; compasses; data compression; database management systems; pattern clustering; satellite navigation; time series; CNSS; clustering; comparison algorithm; compass navigation satellite system; database; improved algorithm; redundant data compression; time-series; Clustering algorithms; Compass; Data mining; Feature extraction; Measurement uncertainty; Position measurement; Time measurement; clustering; compass; data compression; redundant data; time-series;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057890
Filename
6057890
Link To Document