Browsing Institutt for datateknologi, elektroteknologi og realfag by Title

Now showing items 821-840 of 1160

    • Open heavy flavour reconstruction in the ALICE Central Barrel 

      Prino, Francesco; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Røed, Ketil; ALICE Collaboration (Lecture, 2008)
      The ALICE experiment will be able to detect open charm and beauty hadrons in proton-proton and heavy ion collisions in the new energy regime of the CERN Large Hadron Collider (LHC). Heavy flavours are a powerful tool to ...

    • Open heavy-flavour production and elliptic flow in p-Pb collisions at the LHC with ALICE 

      Zanoli, Henrique J. C.; Acharya, Shreyasi; Acosta, Fernando T.; Adamová, Dagmar; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Neelima; Ahammed, Zubayer; Alme, Johan; Altenkaemper, Lucas; Djuvsland, Øystein; Ersdal, Magnus Rentsch; Fionda, Fiorella Maria Celeste; Nystrand, Joakim; Rehman, Attiq Ur; Røhrich, Dieter; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Wagner, Boris; Zhou, Zhuo; Arsene, Ionut Cristian; Bätzing, Paul Christoph; Dordic, Olja; Lardeux, Antoine Xavier; Lindal, Svein; Mahmood, Sohail Musa; Malik, Qasim Waheed; Richter, Matthias; Røed, Ketil; Skaali, Toralf Bernhard; Tveter, Trine Spedstad; Wikne, Jon Christopher; Zhao, Chengxin; Hetland, Kristin Fanebust; Kileng, Bjarte; Nesbø, Simon Voigt; Storetvedt, Maksim Melnik; Helstrup, Håvard; Langøy, Rune; Lien, Jørgen André; Ahn, Sang Un; Aiola, Salvatore; Akindinov, Alexander; Al-Turany, Mohammad; Alam, Sk Noor; Albuquerque, D. S. D.; Aleksandrov, Dmitry; Alessandro, Bruno; ALICE, Collaboration (Peer reviewed; Journal article, 2019)
      Measurements of open heavy flavour production in p–A collisions allow the investigation of Cold Nuclear Matter effects. In addition, they are an important tool for a complementary investigation of the long-range correlations ...

    • Opptrening av slagpasienter med nedsatt funksjonsevne gjennom bruk av VR 

      Hestness, Aksel Stokka; Simonsen, Anders (Bachelor thesis, 2021)

    • Optimal error estimate of the finite element approximation of second order semilinear non-autonomous parabolic PDEs 

      Tambue, Antoine; Mukam, Jean Daniel (Journal article; Peer reviewed, 2020)
      In this work, numerical approximation of the second order non-autonomous semilinear parabolic partial differential equations (PDEs) is investigated using the classical finite element method. To the best of our knowledge, ...

    • Optimal strong convergence rates of some Euler-type timestepping schemes for the finite element discretization SPDEs driven by additive fractional Brownian motion and Poisson random measure 

      Noupelah, Jean Daniel; Tambue, Antoine (Peer reviewed; Journal article, 2020)
      In this paper, we study the numerical approximation of a general second order semilinear stochastic partial differential equation (SPDE) driven by a additive fractional Brownian motion (fBm) with Hurst parameter H>12 and ...

    • Ormen Lange "tie-in" på Sleipner R 

      Johanson, Audun H.; Isdal, Geir Helge; Hamre, Tor (Bachelor thesis, 2004)
      Gassen som produseres ved det nye Ormen lange feltet skal hovedsakelig eksporteres til England og en ny rørledning fra prosesseringsanlegget på Nyhamna i Aukra kommune til Easington i England skal bygges. Den nye rørledningen ...

    • An Overview of Current Solutions for Privacy in the Internet of Things 

      Yang, Guang (Peer reviewed; Journal article, 2022)
      As the Internet of Things (IoT) applications have been introduced into daily life, privacy issues have become significant concerns to users, network service providers, device producers, and related roles. This study provides ...

    • P-sys, parkeringssystem med automatisk skiltgjenkjenning 

      Pihlstrøm, Magnus; Tvinde, Lars Fredrik; Berge, Øystein; Kaasa, Lars Magnus (Bachelor thesis, 2014)
      Dette er et prosjekt i faget HO2-300 – Hovedprosjekt ved HiSF-AIN våren 2014. Prosjektet er et samarbeid mellom prosjektgruppen og Førde lufthamn Bringeland. Oppdragsgivers ønske er å erstatte det nåværende parkeringsa ...

    • A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop 

      Cheng, Zaihe; Shen, Wei; Fang, Wei; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed on a single machine, ...

    • PARMOREL: a framework for customizable model repair 

      Barriga Rodriguez, Angela; Heldal, Rogardt; Rutle, Adrian; Iovino, Ludovico (Peer reviewed; Journal article, 2022)
      In model-driven software engineering, models are used in all phases of the development process. These models must hold a high quality since the implementation of the systems they represent relies on them. Several existing ...

    • PARMOREL: Personalized and automatic repair of models using reinforcement learning 

      Barriga Rodriguez, Angela (Doctoral thesis, 2021)
      In model-driven software engineering, models are used in all phases of the development process. These models must hold a high quality since the implementation of the systems they represent relies on them. Models may get ...

    • Partially APN Boolean functions and classes of functions that are not APN infinitely often 

      Budaghyan, Lilya; Kaleyski, Nikolay Stoyanov; Kwon, Soonhak; Riera, Constanza Susana; Stănică, Pantelimon (Peer reviewed; Journal article, 2019)
      In this paper we define a notion of partial APNness and find various characterizations and constructions of classes of functions satisfying this condition. We connect this notion to the known conjecture that APN functions ...

    • Partially APN functions with APN-like polynomial representations 

      Budaghyan, Lilya; Kaleyski, Nikolay Stoyanov; Riera, Constanza Susana; Stănică, Pantelimon (Peer reviewed; Journal article, 2020)
      In this paper we investigate several families of monomial functions with APN-like exponents that are not APN, but are partially 0-APN for infinitely many extensions of the binary field F2. We also investigate the differential ...

    • Particle identification in ALICE: a Bayesian approach 

      Adam, Jaroslav; Adamová, Dagmar; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Nikita; Ahammed, Zubayer; Ahmad, Shafiq F.; Ahn, Sang Un; Aiola, Salvatore; Alme, Johan; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Altinpinar, Sedat; Djuvsland, Øystein; Haaland, Øystein Senneset; Lønne, Per-Ivar; Nystrand, Joakim; Rehman, Attiq ur; Røhrich, Dieter; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Velure, Arild; Wagner, Boris; Zhang, Hui; Zhou, Zhuo; Zhu, Hongsheng; Arsene, Ionut Christian; Bätzing, Paul Christoph; Dordic, Olja; Lindal, Svein; Mahmood, Sohail Musa; Milosevic, Jovan; Qvigstad, Henrik; Richter, Matthias; Røed, Ketil; Skaali, Toralf Bernhard; Tveter, Trine Spedstad; Wikne, Jon Christopher; Zhao, Chengxin; Langøy, Rune; Lien, Jørgen André; Akindinov, Alexander; Alam, Sk Noor; De Albuquerque, Danilo Silva; Aleksandrov, Dimitry; Alessandro, Bruno; Alexandre, Didier; Alfaro Molina, José Rubén; ALICE, Collaboration (Peer reviewed; Journal article, 2016)

    • Particle-yield modification in jetlike azimuthal dihadron correlations in Pb-Pb collisions at root S-NN=2.76 TeV 

      Aamodt, Kenneth; Altinpinar, Sedat; Djuvsland, Øystein; Fehlker, Dominik; Haaland, Øystein Senneset; Huang, Meidana; Kanaki, Kalliopi; Larsen, Dag Toppe; Lien, Jørgen; Liu, Lijiao; Lønne, Per-Ivar; Nystrand, Joakim; Øvrebekk, Gaute; Richter, Matthias; Røhrich, Dieter; Skjerdal, Kyrre; Szostak, Artur Krzysztof; Ullaland, Kjetil; Wagner, Boris; Alme, Johan; Erdal, Hege Austrheim; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Dordic, Olja; Eyyubova, Gyulnara; Lindal, Svein; Løvhøiden, Gunnar; Milosevic, Jovan; Nilsson, Mads Stormo; Pocheptsov, Timur Anatolievich; Qvigstad, Henrik; Skaali, Toralf Bernhard; Tveter, Trine Spedstad; Wikne, Jon Christopher; Abelev, Betty; Abrahantes Quintana, Arian; Adamová, Dagmar; Adare, Andrew Marshall; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agocs, Andreas Gabor; Agostinelli, Andrea; Aguilar Salazar, Saul; Ahammed, Zubayer; Ahmad, Nazeer; Ahmad Masoodi, Arshar; Ahn, Sang Un; Akindinov, Alexander; Aleksandrov, Dimitry (Peer reviewed; Journal article, 2012)

    • Paths towards reliable explainability: In neural networks for image-processing 

      Sagemüller, Justus (Doctoral thesis, 2024)
      Machine learning systems (often referred to as AI, not always appropriately) are increasingly used in varied applications, including ones with strong impact on human lives. While this is expected to bring economic and ...

    • People – en app for å søke etter personer i Equinor 

      Klepsvik, Ingrid Gjøvåg (Bachelor thesis, 2020)

    • Performance assessment of a 20 MW photovoltaic power plant in a hot climate using real data and simulation tools 

      Bentouba, Said; Mahmoud, Bourouis; Nadjet, Zioui; Pirashanthan, Arumugam; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2021)
      The present study aims to evaluate the aptness of two commercial simulators, HOMER Pro and RETScreen Expert, as predictors of the performance of a large-scale photovoltaic power plant designed to deliver up to 20 MW in a ...

    • Perovskite Solar Cells: A Porous Graphitic Carbon based Hole Transporter/Counter Electrode Material Extracted from an Invasive Plant Species Eichhornia Crassipes 

      Selvakumar, P; Easwaramoorthy, Nandakumar; Natarajan, Muthukumarasamy; Santhanam, Agilan; Asokan, Vijayashankar; Venkatraman, Madurai Ramakrishnan; Senthilarasu, Sundaram; Ravirajan, Punniyamoorthy; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2020)
      Perovskite solar cells (PSCs) composed of organic polymer-based hole-transporting materials (HTMs) are considered to be an important strategy in improving the device performance, to compete with conventional solar cells. ...

    • Petri Net based modeling and analysis for improved resource utilization in cloud computing 

      Ali, Muhammad Rizwan; Ahmad, Farooq; Chaudary, Muhammad Hasanain; Khan, Zuhaib Ashfaq; Alqahtani, Mohammed A.; Alqurni, Jehad Saad; Ullah, Zahid; Khan, Wasim Ullah (Peer reviewed; Journal article, 2021)
      The cloud is a shared pool of systems that provides multiple resources through the Internet, users can access a lot of computing power using their computer. However, with the strong migration rate of multiple applications ...