Publikationer från Malmö universitet
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
The Concept of Interactive Dynamic Intelligent Virtual Sensors (IDIVS): Bridging the Gap between Sensors, Services, and Users through Machine Learning
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-9471-8405
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0003-0546-072X
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0003-0998-6585
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-7701-0851
Vise andre og tillknytning
2023 (engelsk)Inngår i: Applied Sciences, E-ISSN 2076-3417, Vol. 13, nr 11, artikkel-id 6516Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper concerns the novel concept of an Interactive Dynamic Intelligent Virtual Sensor (IDIVS), which extends virtual/soft sensors towards making use of user input through interactive learning (IML) and transfer learning. In research, many studies can be found on using machine learning in this domain, but not much on using IML. This paper contributes by highlighting how this can be done and the associated positive potential effects and challenges. An IDIVS provides a sensor-like output and achieves the output through the data fusion of sensor values or from the output values of other IDIVSs. We focus on settings where people are present in different roles: from basic service users in the environment being sensed to interactive service users supporting the learning of the IDIVS, as well as configurators of the IDIVS and explicit IDIVS teachers. The IDIVS aims at managing situations where sensors may disappear and reappear and be of heterogeneous types. We refer to and recap the major findings from related experiments and validation in complementing work. Further, we point at several application areas: smart building, smart mobility, smart learning, and smart health. The information properties and capabilities needed in the IDIVS, with extensions towards information security, are introduced and discussed.

sted, utgiver, år, opplag, sider
MDPI, 2023. Vol. 13, nr 11, artikkel-id 6516
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-60144DOI: 10.3390/app13116516ISI: 001004726600001Scopus ID: 2-s2.0-85163091186OAI: oai:DiVA.org:mau-60144DiVA, id: diva2:1763617
Ingår i projekt
Dynamic Intelligent Sensor Intensive Systems, Knowledge FoundationTilgjengelig fra: 2023-06-07 Laget: 2023-06-07 Sist oppdatert: 2023-09-05bibliografisk kontrollert

Open Access i DiVA

fulltext(2194 kB)164 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 2194 kBChecksum SHA-512
fcb82a50d53091f7516a45785498c58779972b2287752062dac5d913a63623ccde71db94f7f7451a42d147fa20e8097866f74db342f0eed1e49692084d518d32
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Person

Persson, Jan A.Bugeja, JosephDavidsson, PaulHolmberg, JohanKebande, Victor R.Mihailescu, Radu-CasianSarkheyli-Hägele, ArezooTegen, Agnes

Søk i DiVA

Av forfatter/redaktør
Persson, Jan A.Bugeja, JosephDavidsson, PaulHolmberg, JohanKebande, Victor R.Mihailescu, Radu-CasianSarkheyli-Hägele, ArezooTegen, Agnes
Av organisasjonen
I samme tidsskrift
Applied Sciences

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 164 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 170 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf