Blar i Publikasjoner fra CRIStin på tittel

Viser treff 1682-1701 av 8675

    • Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (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 

      Alver, Morten; Michelsen, Finn Are (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 

      Kelasidi, Eleni; Schellewald, Christian; Yip, Mauhing; Remmen, Bjørnar Moe (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 

      Sartori, Igor (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 Handling in Knowledge Infrastructures: A Case Study from Oil Exploration 

      Mikalsen, Marius; Monteiro, Eric (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 

      Castelli, Ivano; Arismendi-Arrieta, Daniel; Bhowmik, Arghya; Cekic-Laskovic, Isidora; Clark, Simon; Flores, Eibar; Flowers, Jackson; Frederiksen, Karina; Friis, Jesper; Grimaud, Alexis; Hansen, Karin; Hardwick, Laurence; Hermansson, Kersti; Lauritzen, Hanne; Le Cras, Frederic; Li, Hongjiao; Lyonnard, Sandrine; Lorrmann, Henning; Dominko, Robert; Koeniger, Lukas; Marzari, Nicola; Niedzicki, Leszek; Pizzi, Giovanni; Rahmanian, Fuzhan; Stein, Helge; Uhrin, Martin; Wenzel, Wolfgang; Winter, Martin; Woelke, Christian; Vegge, Tejs (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 

      Chen, Xuanliang; Marioara, Calin Daniel; Andersen, Sigmund Jarle; Friis, Jesper; Lervik, Adrian; Holmestad, Randi; Kobayashi, Equo (Peer reviewed; Journal article, 2021)

    • Data preparation as a service based on Apache Spark 

      Mahasivam, Nivethika; Nikolov, Nikolay; Sukhobok, Dina; Roman, Dumitru (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 

      Soylu, Ahmet; Corcho, Oscar; Elvesæter, Brian; Badenes-Olmedo, Carlos; Yedro Martínez, Francisco; Kovavic, Matej; Posinkovic, Matej; Medvescek, Mitja; Makgill, Ian; Taggart, Chris; Simperl, Elena; Lech, Till Christopher; Roman, Dumitru (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 

      Waszak, Maryna; Moen, Terje; Eidnes, Sølve; Stasik, Alexander Johannes; Hansen, Anders; Bouquet, Gregory; Pultier, Antoine; Ma, Xiang; Tørlen, Idar; Henriksen, Bjørn; Aamodt, Arianeh; Roman, Dumitru (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 

      Roman, Dumitru; Pultier, Antoine; Ma, Xiang; Soylu, Ahmet; Ulyashin, Alexander (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 ...

    • Data Safety, Sources, and Data Flow in the Offshore Industry 

      Myklebust, Thor; Onshus, Tor Engebret; Lindskog, Stefan; Ottermo, Maria Vatshaug; Bodsberg, Lars (Chapter; Peer reviewed, 2021)
      Digitization may provide increased access to and more efficient use of real-time and historical data, internally as well as externally in an organization. However, when information from industrial control systems (ICS) ...

    • Data set for power system reliability analysis using a four-area test network 

      Sperstad, Iver Bakken; Solvang, Espen Hafstad; Jakobsen, Sigurd Hofsmo; Gjerde, Oddbjørn (Peer reviewed; Journal article, 2020)
      This article presents a test data set combining data relevant for power system reliability analysis, including network data, reliability data, basic interruption cost data, and exemplary operating state data. The data set ...

    • A data set of a Norwegian energy community 

      Berg, Kjersti; Löschenbrand, Markus (Peer reviewed; Journal article, 2021)
      This paper presents a data set designed to represent Norwegian energy communities. As such it includes household consumption data collected from smart meter measurements and divided into consumer groups, appliance consumption ...

    • The Data Value Quest: A Holistic Semantic Approach at Bosch 

      Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Trung-Kien, Tran; Stepanova, Daria; Gad-Elrab, Mohamed H.; Nikolov, Nikolay; Soylu, Ahmet; Kharlamov, Evgeny (Peer reviewed; Journal article, 2022)

    • A data-driven approach for twitter hashtag recommendation 

      Belhadi, Asma; Djenouri, Youcef; Lin, Jerry Chun-Wei; Cano, Alberto (Peer reviewed; Journal article, 2020)
      This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ...

    • A Data-Driven Approach for Twitter Hashtag Recommendation 

      Djenouri, Youcef; Asma, Belhadi; Chun-Wei Lin, Jerry; Alberto, Cano (Peer reviewed; Journal article, 2020)
      This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ...

    • Data-driven asset management in urban water pipe networks: a proposed conceptual framework 

      Okwori, Emmanuel; Pericault, Y.; Ugarelli, Rita Maria; Viklander, M.; Hedström, A. (Peer reviewed; Journal article, 2021)
      Analytical tools used in infrastructure asset management of urban water pipe networks are reliant on asset data. Traditionally, data required by analytical tools has not been collected by most water utilities because it ...

    • Data-driven deconvolution for large eddy simulations of Kraichnan turbulence 

      Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash (Journal article; Peer reviewed, 2018)
      In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for sub-grid scale turbulence effects. We ...

    • Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load 

      Degefa, Merkebu Zenebe; Sæle, Hanne; Petersen, Idar; Ahcin, Peter (Chapter; Peer reviewed, 2018)
      To keep a stable power system, there should always be balance between the generation and consumption of electricity. In this study, a flexibility modelling method for atomic loads which is based on high resolution appliance ...