Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/EB2290D9-1721-4A32-B4E3-3DE3F26481EC | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.93715 | - |
| Language | en | - |
| Extent | 45 pages | en |
| Extent | 818.8 kilobytes | en |
| Title | Asynchronous inference for security applications | en |
| Title | Ασύγχρονος συμπερασμός για εφαρμογές ασφάλειας | el |
| Creator | Sifakis Zacharias-Iosif | en |
| Creator | Σηφακης Ζαχαριας-Ιωσηφ | el |
| Contributor [Thesis Supervisor] | Bletsas Aggelos | en |
| Contributor [Thesis Supervisor] | Μπλετσας Αγγελος | el |
| Contributor [Committee Member] | Lagoudakis Michail | en |
| Contributor [Committee Member] | Λαγουδακης Μιχαηλ | el |
| Contributor [Committee Member] | Karystinos Georgios | en |
| Contributor [Committee Member] | Καρυστινος Γεωργιος | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Technical University of Crete::School of Electrical and Computer Engineering | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών | el |
| Content Summary | This 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 Item | Διπλωματική Εργασία | el |
| Type of Item | Diploma Work | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2022-10-18 | - |
| Date of Publication | 2022 | - |
| Subject | Asynchrony | en |
| Subject | MMSE | en |
| Subject | LS | en |
| Subject | Channel estimation | en |
| Subject | Distributed | en |
| Subject | GBP | en |
| Subject | Inference | en |
| Subject | Asynchronous inference | en |
| Subject | en | |
| Bibliographic Citation | Zacharias-Iosif Sifakis, "Asynchronous inference for security applications", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2022 | en |
| Bibliographic Citation | Ζαχαρίας-Ιωσήφ Σηφάκης, "Ασύγχρονος συμπερασμός για εφαρμογές ασφάλειας", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2022 | el |
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