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Oversikt over NRs prosjekter

Oversikt over NRs prosjekter

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SnowMan

In Norway, operational snow cover area monitoring is performed based on satelitte data and is a useful tool in hydropower production planning, snow monitoring and flood prediction systems. Hydrological precipitation-runoff models have been in operational use for more than 20 years for flood warning, planning, design and operation of hydropower systems in addition to impact assessments.

SnowStar

SnowStar represents the next generation of snow mapping systems at Statkraft. SnowStar consists of three main components:
  • SnowStar Server
  • SnowStar Viewer and
  • SnowStar Intranet

Snøskred

Avalanche warning applying snow variables from satellite images

Sortering av retur

Sortering av retur i ulike sammenhenger har blitt et miljømessig viktig og fokusert område. For at en sorteringsløsning skal bli tatt i bruk er det imidlertid viktig med en høyest mulig grad av automatisering slik at sorteringen er enkel og kostnadseffektiv. Dette prosjektet fokuserer på effektive løsninger for automatisk retursortering gjennom identifikasjon av trykte objekter for to ulike anvendelser; sortering av trykksaker og sortering av drikkevareemballasje basert på etiketter der hhv. HS News Systems og Tomra er problemeiere.

Statistical analysis of genomic data

DNANR participates in the Bioinformatics Core Facility at the University of Oslo, where statistical services within bioinformatics are provided to users from the Oslo University Hospital and the University of Oslo. Our services include assistance in designing experiments, analyzing datasets and answering general statistical questions.

Statistical modeling of a melting furnace

A high carbon ferromanganese (HC FeMn) furnace is a melting furnace where manganese ores are reduced by coke in order to produce FeMn metal. Different reactions take place in different parts of the furnace, but there is a lack of information about inner furnace conditions due to a hostile environment inside the furnace.

Statistical modelling and analysis of unpaid taxes

We have developed a new model to estimate the amount of unpaid tax for each of Norway's 433 municipalities. The model is a logistic regression model that explains the ratio between the total amount of taxes paid and the sum of the claims, when one disregards the taxes that are paid voluntarily. We have studied the effect of several macroeconomic variables and variables which describe the resources available at the municipalities. In order to study the stability of the model, the model is fitted for several years with income data.

Survival analysis of wells

Certain oil fields have problems concerning sand slides and mineral deposits that cause wells to stop producing.
For the company operating the field, it is important to know the distribution of the time from the start of the well
production until these events occur. This information is used to estimate the lifetime of existing and new wells, and to
determine how many wells to drill.

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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