Hierarchical Concept Graph Model for Measurement Signal Analysis

Author

Jing, Kunpeng ; Zhang, Zhongpeng ; Li, Xin ; Yu, Jianping ; Jing, Jun ; Luan, Jingmin ; Xu, Yonghong ; Hong, Wenxue

Author_Institution

Econ. & Manage. Inst., Yanshan Univ., Qinhuangdao, China

fYear

2011

fDate

21-23 Oct. 2011

Firstpage

108

Lastpage

113

Abstract

It is crucial for an instrumentation to have an efficient method of measurement signal analysis. Especially there are multiple sensors in the instrumentation, i.e. the multi-sensor information fusion. In recent years, we intend to discover a new method of multi-source massive data analysis. Based on the research of Formal Concept Analysis theory, we proposed the Hierarchical Concept Graph Model for massive data analysis. In this paper, we briefed the theory of Formal Concept Analysis and Hierarchical Concept Graph Model, and then we represented the result of the application about our theory in massive dataset analysis. The result of our former research has demonstrated that our theory has the potential to be applied in measurement signal analysis.

Keywords

graph theory; instrumentation; measurement; sensor fusion; formal concept analysis; hierarchical concept graph model; instrumentation; massive dataset analysis; measurement signal analysis; multisensor information fusion; multisource massive data analysis; Analytical models; Context; Context modeling; Indexes; Instruments; Lattices; Sensors; Formal Concept Analysis; Measurement Signal Analysis; Multi-source massive data analysis; The Hierarchical Concept Graph Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on

Conference_Location

Beijing

Print_ISBN

978-0-7695-4519-6

Type

conf

DOI

10.1109/IMCCC.2011.36

Filename

6153971