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Naslov:Explainable anomaly detection of 12-Lead ECG signals using denoising autoencoder
Avtorji:ID Hribar, Rok, Institut Jožef Stefan (Avtor)
ID Torkar, Drago, Institut Jožef Stefan (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://link.springer.com/book/10.1007/978-3-031-54049-3
 
.pdf PDF - Predstavitvena datoteka, prenos (931,78 KB)
MD5: 0A92BED8298A08445D05B482E2417E9D
 
Jezik:Angleški jezik
Tipologija:1.16 - Samostojni znanstveni sestavek ali poglavje v monografski publikaciji
Organizacija:Logo IJS - Institut Jožef Stefan
Povzetek:The basic idea was to create a proof of concept demonstrating that the indoor navigation and localisation is possible using only passive tags. For this purpose, a smartphone navigation app was developed to be used in inner parts of the buildings and which can operate with no satellite positioning service available and no communication network present. The satellite navigation systems (GPS, GLONASS, Galileo, BeiDou, QZSS, IRNSS) inside buildings, at least on lower floors and cellars, in central parts, and away from windows, usually do not work, or their accuracy is very reduced due to a small number of visible satellites. The communication networks (WiFi, LTE, 5G…) might not be available in some circumstances such as catastrophic incidents, power reductions, or similar, which disables the localisation systems based on them. The purpose of the smartphone app was twofold. First, to develop a reliable, simple-to-use, and cheap indoor navigation system that could be used in large buildings like hospitals, shopping malls, trade centres, fairs, etc. where no other positioning service is available. Second, to develop an indoor position reporting system that can be used in accidents and mass-casualty incidents for reporting triage decisions to the server. Both functionalities are based on the QR codes [1] holding all the information needed.
Ključne besede:internet thinks, indoor navigation, systems, QR codes
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Založnik:Springer Nature
Leto izida:2024
Št. strani:Str. 127-140
Izvor:Švica
PID:20.500.12556/DiRROS-19148 Novo okno
UDK:004
DOI:10.1007/978-3-031-54049-3 Novo okno
COBISS.SI-ID:200353795 Novo okno
Avtorske pravice:© The Author(s) 2024
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 2. 7. 2024;
Datum objave v DiRROS:02.07.2024
Število ogledov:89
Število prenosov:36
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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Gradivo je del monografije

Naslov:Intelligent secure trustable things
Uredniki:Michael Karner
Kraj izida:Cham
Založnik:Springer
ISBN:978-3-031-54049-3
COBISS.SI-ID:200346627 Novo okno
Naslov zbirke:Studies in Computational Intelligence
Številčenje v zbirki:1147

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0098
Naslov:Računalniške strukture in sistemi

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:876038
Naslov:Intelligent Secure Trustable Things
Akronim:InSecTT

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:101007273
Naslov:Distributed Artificial Intelligent Systems
Akronim:DAIS

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:navigacijski sistemi, znotraj objektov, najdljivost


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