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Indoor intrusion detection based on fuzzy membership-aided Dempster-Shaper theory

Indoor intrusion detection based on fuzzy membership-aided Dempster-Shaper theory

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2397046170

Indoor intrusion detection based on fuzzy membership-aided Dempster-Shaper theory

About this item

Full title

Indoor intrusion detection based on fuzzy membership-aided Dempster-Shaper theory

Publisher

Amsterdam: IOS Press BV

Journal title

Journal of intelligent & fuzzy systems, 2020-04, Vol.38 (4), p.3687-3696

Language

English

Formats

Publication information

Publisher

Amsterdam: IOS Press BV

More information

Scope and Contents

Contents

At present, indoor intrusion detection technologies based on WLAN are widely applied to protect the privacy of users and have a robust anti-interference ability under the condition of the Non-line-of-sight (NLOS), which become the mainstream topics of domestic and foreign studies. Most of the existing researches rely on the signal strength to train...

Alternative Titles

Full title

Indoor intrusion detection based on fuzzy membership-aided Dempster-Shaper theory

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2397046170

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2397046170

Other Identifiers

ISSN

1064-1246

E-ISSN

1875-8967

DOI

10.3233/JIFS-179591

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