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Damage threshold of CuCrFeTiV high entropy alloys for nuclear fusion reactors
(Peer reviewed; Journal article, 2022)A CuCrFeTiV high entropy alloy was prepared and irradiated with swift heavy ions in order to check its adequacy for use as a thermal barrier in future nuclear fusion reactors. The alloy was prepared from the elemental ... -
Damages in Wooden Roofs over heated rooms
(Særtrykk (Norges byggforskningsinstitutt);120, Others, 1966) -
Dampness and Moisture Problems in Norwegian Homes
(Journal article; Peer reviewed, 2017)The occurrence of dampness and mold in the indoor environment is associated with respiratory-related disease outcomes. Thus, it is pertinent to know the magnitude of such indoor environment problems to be able to estimate ... -
Dampsperrer i tak
(Prosjektrapport (Norges Byggforskningsinstitutt);190, Research report, 1995) -
Dampsperrer, punktert av mekaniske festemidler. Måling av luftgjennomgang
(Prosjektrapport (Norges Byggforskningsinstitutt);111, Research report, 1992) -
Damring formation during rotary kiln chromite pre-reduction: Effects of pulverized carbonaceous fuel selection and partial pellet melting
(Peer reviewed; Journal article, 2018)Electricity consumption is the largest cost contributing factor in the production of ferrochrome. Currently the pelletized chromite pre-reduction process (solid-state reduction of chromite) is the process option with the ... -
Data analysis on marine engine operating regions in relation to ship navigation
(Journal article; Peer reviewed, 2016-12-01)Data analysis techniques to understand marine engine operating regions as a part of the ship energy efficiency management plan (SEEMP) are proposed in this study. The SEEMP enforces to improve ship energy efficiency under ... -
Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs
(Chapter, 2020)In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ... -
Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs
(Chapter, 2020)In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ... -
Data assimilation with SINMOD
(SINTEF Fiskeri og havbruk;A26953, Research report, 2015-05-20)Data assimilation is the process of using measured data to correct the state of a mathematical model. This report documents the data assimilation process implemented in the ocean model system SINMOD, and the tests that ... -
Data capture and real-time data quality analysis
(SINTEF Ocean rapporter;OC2020 A-033, Research report, 2020)This report presents results obtained in the CageReporter project regarding the development of a 3D vision system to be used for data capture in fish cages. The developed system enables to obtain high-quality data with the ... -
Data Centres Infrastructure Energy Efficiency. State of the art
(Research report, 2010)The state of the art report focuses on the Heating, Ventilation and Air Conditioning (HVAC) systems energy efficiency. For planning and operational purposes the data centre infrastructure is seen in a physical perspective ... -
Data for bokvalitet i nye byboliger
(Prosjektrapport (Norges Byggforskningsinstitutt);102, Research report, 1992) -
Data Handling in Knowledge Infrastructures: A Case Study from Oil Exploration
(Journal article; Peer reviewed, 2018)Offshore oil exploration is concerned with subsea geological reservoirs that are numerous kilometers below the seabed. These reservoirs are knowable only through a knowledge infrastructure of interconnected technologies ... -
Data Management Plans: the Importance of Data Management in the BIG-MAP Project
(Peer reviewed; Journal article, 2021)Open access to research data is increasingly important for accelerating research. Grant authorities therefore request detailed plans for how data is managed in the projects they finance. We have recently developed such a ... -
Data on atomic structures of precipitates in an Al-Mg-Cu alloy studied by high resolution transmission electron microscopy and first-principles calculations
(Peer reviewed; Journal article, 2021) -
Data preparation as a service based on Apache Spark
(Journal article; Peer reviewed, 2017)Data preparation is the process of collecting, cleaning and consolidating raw datasets into cleaned data of certain quality. It is an important aspect in almost every data analysis process, and yet it remains tedious and ... -
Data Quality Barriers for Transparency in Public Procurement
(Peer reviewed; Journal article, 2022)Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major ... -
Data quality issues for vibration sensors: a case study in ferrosilicon production
(Chapter, 2022)Digitisation in the mining and metal processing industries plays a key role in their modernisation. Production processes are more and more supported by a variety of sensors that produce large amounts of data that meant to ... -
Data quality issues in solar panels installations: a case study
(Chapter, 2022)Solar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of ...