Óbudai Egyetem Digitális Archívum
    • magyar
    • English
  • magyar 
    • magyar
    • English
  • Bejelentkezés
Megtekintés 
  •   ÓDA repozitórium kezdőoldal
  • 0. Dokumentumbeadás
  • Könyvrészletek
  • Megtekintés
  •   ÓDA repozitórium kezdőoldal
  • 0. Dokumentumbeadás
  • Könyvrészletek
  • Megtekintés
JavaScript is disabled for your browser. Some features of this site may not work without it.

Biometric identification and LoRaWAN communication problems in remote health monitoring

Thumbnail
Megtekintés/Megnyitás
978-963-449-224-5 _ 09.pdf (1.845MB)
Metaadat
Teljes megjelenítés
Link a dokumentumra való hivatkozáshoz:
http://hdl.handle.net/20.500.14044/40459
Gyűjtemény
  • Könyvrészletek [135]
Absztrakt
Biometric identification is no longer an idea of the future, it’s a possibility of the present. It’s enough to think about everyday things like the new ID card, some laptops, and most cell phones. We can see that the use of biometric-based identification systems is growing on a large scale. Behind the rapid spread is both demand and offer. On the demand side, there is a demand for security. For example, states want to know who is crossing their borders, and companies want to know who is entering their buildings. On the supply side, compact and inexpensive devices appear that can be easily integrated into any system. Although experts believe that biometric identification can be considered extremely secure, these systems also have weaknesses. In the course of my research, I examine fingerprint-based recognition among biometric identification types in more depth. There are also two types of errors that affect system reliability. One is FAR, i.e. false acceptance, the other is FRR, i.e. false rejection. In my work, I would like to find a solution to how we can best reduce the first and second type errors (FAR and FRR) by changing the number of samples and tuning the acceptance threshold. The biggest difficulty with this is finding the EER (Equal Error Rate) point, as deviating from this point, the error rates show an increasing trend. Another topic of my research is the examination of LoRaWAN technology for reliability. The health and remote monitoring armband I designed uses LoRa communication to transmit information. The biggest advantage of the technology is the long-range, which is significantly influenced by environmental variables and current terrain conditions. I would like to find out what range the LoRa module I use can operate in different noise-laden environments, under different weather and terrain conditions. This can be used to establish a coverage area within which the exchange of information between the LoRa device and its associated gateway can be guaranteed.
 
Biometric identification is no longer an idea of the future, it’s a possibility of the present. It’s enough to think about everyday things like the new ID card, some laptops, and most cell phones. We can see that the use of biometric-based identification systems is growing on a large scale. Behind the rapid spread is both demand and offer. On the demand side, there is a demand for security. For example, states want to know who is crossing their borders, and companies want to know who is entering their buildings. On the supply side, compact and inexpensive devices appear that can be easily integrated into any system. Although experts believe that biometric identification can be considered extremely secure, these systems also have weaknesses. In the course of my research, I examine fingerprint-based recognition among biometric identification types in more depth. There are also two types of errors that affect system reliability. One is FAR, i.e. false acceptance, the other is FRR, i.e. false rejection. In my work, I would like to find a solution to how we can best reduce the first and second type errors (FAR and FRR) by changing the number of samples and tuning the acceptance threshold. The biggest difficulty with this is finding the EER (Equal Error Rate) point, as deviating from this point, the error rates show an increasing trend. Another topic of my research is the examination of LoRaWAN technology for reliability. The health and remote monitoring armband I designed uses LoRa communication to transmit information. The biggest advantage of the technology is the long-range, which is significantly influenced by environmental variables and current terrain conditions. I would like to find out what range the LoRa module I use can operate in different noise-laden environments, under different weather and terrain conditions. This can be used to establish a coverage area within which the exchange of information between the LoRa device and its associated gateway can be guaranteed.
 
Cím és alcím
Biometric identification and LoRaWAN communication problems in remote health monitoring
A könyvrészlet száma
9.
Szerző
Szántó, Marcell
Szerkesztő
Dr. Temesvári, Zsolt
Megjelenés ideje
2020
Hozzáférés szintje
Open access
Konferencia címe
XXXVI. Kandó Konferencia
Konferencia ideje
2020. November 19-20.
Nyelv
en
Terjedelem
9 p.
Tárgyszó
lorawan, biometric, fingerprint, communication, identification
Változat
Kiadói változat
A cikket/könyvrészletet tartalmazó dokumentum címe
XXXVI. Kandó Konferencia KK2020
A forrás folyóirat éve
2020
ISBN, e-ISBN
978-963-449-224-5
Műfaj
Konferenciaközlemény
Tudományterület
Műszaki tudományok - gépészeti tudományok
Egyetem
Óbudai Egyetem
Kar
Kandó Kálmán Villamosmérnöki Kar

DSpace software copyright © 2002-2016  DuraSpace
Kapcsolat | Visszajelzés
Theme by 
Atmire NV
 

 

Böngészés

A teljes ÓDA-banKategóriák és gyűjteményekMegjelenés dátumaSzerzőCímTárgyszóA gyűjteménybenMegjelenés dátumaSzerzőCímTárgyszó

Személyes felhasználói fiók

BejelentkezésRegisztráció

DSpace software copyright © 2002-2016  DuraSpace
Kapcsolat | Visszajelzés
Theme by 
Atmire NV