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Oversikt over NRs prosjekter

Oversikt over NRs prosjekter

For å se på et mindre utvalg av prosjekter innenfor en avdeling eller forskningsområde, kryss av på de aktuelle boksene. Hvis flere bokser avmerkes, vil søket gi prosjekter som tilfredsstiller minst en av de avkryssede boksene i hver av søylene med avkryssede bokser.

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Predicting blood donor arrival

Blood donationThe scheduling strategies used at blood collection centers worldwide vary considerably. At the Blood Bank of Oslo, fixed appointments are used. However, on average, only 60% of blood donors with an appointment actually show up. Overbooking is therefore necesarry, but because the day-to-day variations in donor arrival are large, this may lead to long waiting times before donation.

Predicting soccer tournaments

During all the FIFA World Cups since 1998 and the UEFA European Football Championships since 2000, NR has had it's own web-site. Here we considered the winner chances etc. of every team participating in the tournaments, based on probability models. The calculations were updated daily and presented at the web-site, as well as in the Norwegian newspapers such as Dagbladet, VG, Aftenposten and the tv station TV 2.

Prediction of biomass in Norwegian fish farms

Fish farmThe aim of the project was to construct a modeling framework for forecasting of biomass and slaughtering in Norwegian fish farms, in order to ensure predictable and optimal production of farmed fish.

Prismodellering og risikostyring for råvaremarkeder

NR startet allerede i 1994 et samarbeid med Hydro i forbindelse med at den nordiske energibørsen NordPool ble opprettet som første internasjonale råvarebørs for elektrisk energi. I tillegg til Hydro har vi blant annet jobbet for E-CO Energi, Agder Energi, NTE, Point Carbon EGL Nordic AS, Stakraft og Statnett de siste årene. Dette har ført til at NR har opparbeidet en solid kompetanse på modeller som simulerer og lager prognoser for elektrisitetspriser, og vi har også utviklet prismodeller for andre råvarer som gass, olje, korn og ferrosilisium.

Prospect risking using CSEM data

We develop Bayesian methodology for integrating the use of controlled source electromagnetic (CSEM) data for exploration. We compute the probability for hydrocarbon presence based on the information in the CSEM data. The method is fast compared with Bayesian inversion techniques, and avoids inversion for the complete resistivity model it computes the chance of hydrocarbon presence directly. The method utilize that CSEM data from hydrocarbon reservoirs and brine filled reservoirs will have different signatures. The methodology adapts to the local geology.

Recovery from acidification

Creek

Acid rain and other acid deposition are serious environmental problems that affect large parts of the industrial world. Rivers and lakes that are exposed to acid deposition may become acidified if they are not naturally protected with for instance limestone rock that are able to neutralise acid.

Reliability analysis of reverse vending machines

Pant alt, alltid

TOMRA's reverse vending machines are very reliable. Yet, the machines may on rare occasions stop. In cooperation with NR, TOMRA has investigated the occurrence of these stops using reliability analysis.

Removal of clutter from historical scanned documents

An innovation project led by Lumex A/S and partly financed by the Norwegian Research Council, aims to improve optical character recognition in noisy historical documents. The goal is to develop solutions that will be able to detect, locate and characterize clutter and then apply adapted OCR to regions containing clutter. The clutter can be related to tears, cracks and aging of the paper of the documents, or stamps and annotations that have been deliberately introduced. Ink smears and blobs from the printing process are also frequent.

RevmaRApp - Utvikling av en app for revmatikere

Mobil i bruk

Vedvarende utmattelse er et svært vanlig symptom ved revmatisk sykdom og en rekke andre sykdommer. Det finnes få fullgode tiltak mot vedvarende tretthet, men ofte er det nødvendig med en tverrfaglig tilnærming, hvor aktivitetsregulering kan være et av flere tiltak. 

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Postadresse:
Norsk Regnesentral
Postboks 114 Blindern
0314 Oslo
Besøksadresse:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
0373 Oslo
Tlf:
(+47) 22 85 25 00
Adresse Hvordan komme til NR
Sosiale media Del på sosiale media
Personvernerklæring Personvernerklæring
Postadresse: Norsk Regnesentral, Postboks 114 Blindern, 0314 Oslo
Besøksadresse: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, 0373 Oslo
Tlf: (+47) 22 85 25 00
AdresseHvordan komme til NR