This thesis provides a viable solution to the challenge of real-time estimation of people's positions inside a building during emergency situations. Such estimates can be extremely valuable to emergency responders by ...

Oppgaven gikk ut på å lage en app som gjør det mulig å arrangere innendørs orientering. Applikasjonen vi har laget gir en administrator mulighet til å opprette løyper og poster, samt å redigere disse. Postene inneholder ...

Denne bacheloroppgaven hadde som formål å integrere solcelleenergien i styringsløkken til Easee sine smartprodukter. Målet var å lage et simuleringsverktøy, samt finne måter å regulere Easee laderoboten basert på strømforbruket ...

The purpose of this project is to collect Internet Of Things data from available sources in the value chain. Our viewpoint to observe IoT data streams from all different processes in the factory as well as get an ...

The purpose of this thesis is to develop a semi-automated interface that uses Optical Character Recognition (OCR) routines to identify text-based information from a large volume of digitized drawings associated with the ...

K-means is the most commonly known partitioning algorithm used for data clustering. It was originally designed to run on a single processor. Therefore, this created a limitation on dealing with large amounts of data ...

Conventional subband adaptive filter (SAF) solved a complexity and convergence rate problem from long adaptive filter by doing adaptive filtering in subbands. The complexity is reduced because the subband adaptive filters ...

Real time systems such as a paint robot are often complex and a lot of data can be extracted and visualized, doing this in an elegant way can prove difficult, and when you want it displayed on multiple platforms, the ...

Denne rapporten beskriver et sosialt nettverk laget ved hjelp av react native og Hyperledger Fabric for å gi brukere en større grad av kontroll over brukerdata. Resultatet av prosjektet viser at det er et potensiale for å ...