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PCASVM-Based Method for Pattern Detection in a Multisensor System
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper presents a multivariate analysis framework for pattern detection in a multisensor system; the proposed principal component analysis (PCA)/support vector machine- (SVM-) based supervision scheme can identify patterns in the multisensory system.
Although the PCA and SVM are commonly used in pattern recognition, an effective methodology using the PCA/SVM for multisensory system remains unexplored.
Pattern detection in a multisensor system has long been a challenge.
For example, object inspections in multisensor systems are difficult to perform because inspectors might fail to use multiple sensing devices when concurrently detecting different patterns.
Therefore, to resolve this issue, this study proposes a novel framework for establishing indicators and corresponding thresholds to identify patterns in the system; it employs a feature-based scheme that integrates principal component analysis (PCA) with an SVM for effectively detecting patterns in the system.
Experiments were conducted using a tactile and optical measurement system.
The experimental results demonstrated that the proposed method can effectively identify patterns in multisensor systems by using a feature-based algorithm that combines PCA and SVM classification for detecting various patterns.
Moreover, the proposed framework established alarm indicators and corresponding thresholds that can be used for pattern detection.
American Psychological Association (APA)
Lin, Tsun-Kuo. 2018. PCASVM-Based Method for Pattern Detection in a Multisensor System. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208424
Modern Language Association (MLA)
Lin, Tsun-Kuo. PCASVM-Based Method for Pattern Detection in a Multisensor System. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1208424
American Medical Association (AMA)
Lin, Tsun-Kuo. PCASVM-Based Method for Pattern Detection in a Multisensor System. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208424
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208424