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Asynchronous inference for security applications

Sifakis Zacharias-Iosif

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URIhttp://purl.tuc.gr/dl/dias/EB2290D9-1721-4A32-B4E3-3DE3F26481EC-
Identifierhttps://doi.org/10.26233/heallink.tuc.93715-
Languageen-
Extent45 pagesen
Extent818.8 kilobytesen
TitleAsynchronous inference for security applications en
TitleΑσύγχρονος συμπερασμός για εφαρμογές ασφάλειαςel
CreatorSifakis Zacharias-Iosifen
CreatorΣηφακης Ζαχαριας-Ιωσηφel
Contributor [Thesis Supervisor]Bletsas Aggelosen
Contributor [Thesis Supervisor]Μπλετσας Αγγελοςel
Contributor [Committee Member]Lagoudakis Michailen
Contributor [Committee Member]Λαγουδακης Μιχαηλel
Contributor [Committee Member]Karystinos Georgiosen
Contributor [Committee Member]Καρυστινος Γεωργιοςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electrical and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστώνel
Content SummaryThis work studies distributed inference for privacy-non intrusive security applications. Specifically, minimum mean square estimation (MMSE) of channel parameters is proposed, with asynchronous and distributed implementation of Gaussian Belief Propagation (GBP). Wireless channel is measured by distributed wireless terminals/sensors, which exchange messages to infer the wireless channel through asynchronous GBP. Variations of the channel between consecutive measurements indicate the presence (or absence) of a moving person, without other means (e.g., cameras, microphones or infrared sensors). The method is tested in simulations and compared to synchronous GBP in terms of convergence; in addition, the method is contrasted against centralized least-squares (LS) and centralized MMSE, at the WiFi carrier frequency of 2.4 GHz, at various signal-to-noise ratios. It is found that mobility changes channel estimate metrics by at least one order of magnitude, compared to the static (immobile) case. The method could be exploited in indoor environments, where distributed presence of embedded wireless radios is widespread, without reverting to privacy intrusive microphones or cameras. In addition, the method is truly asynchronous and distributed, and hence more robust compared to synchronous counterparts. en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-10-18-
Date of Publication2022-
SubjectAsynchronyen
SubjectMMSEen
SubjectLSen
SubjectChannel estimationen
SubjectDistributeden
SubjectGBPen
SubjectInferenceen
SubjectAsynchronous inferenceen
Subjecten
Bibliographic CitationZacharias-Iosif Sifakis, "Asynchronous inference for security applications", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2022en
Bibliographic CitationΖαχαρίας-Ιωσήφ Σηφάκης, "Ασύγχρονος συμπερασμός για εφαρμογές ασφάλειας", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2022el

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