• Polarization Sensing In an Urban Environment - Exploring The Sensing Potential of Telecom infrastructure 

  Gjesdal, Jostein (Master thesis, 2023)

  Optiske fibernettverk har blitt hovedtransportmiddelet for informasjon i den moderne verden. Etterhvert som det globale fibernettverket vokser, åpner det seg muligheter for nye komplementære anvendelser i tillegg til de ...

• Preparing the CERN Machine-Learned Particle-Flow Model for Exascale using Horovod: Experience and Performance Studies on the Flatiron and Jülich Supercomputers 

  Sørlie, Lars (Master thesis, 2022)

  Det er en økning i interessen for å vise viktigheten av HPC for kunstig intelligens og kunstig intelligens for HPC. HPC-sentre kan nå skryte av større og større datakraft, med flere sentre som når exascale. CERN undersøker ...

• Synergistic PID and Output Feedback Control on Matrix Lie Groups 

  Basso, Erlend Andreas; Schmidt-Didlaukies, Henrik; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2023)

  In this paper, we develop multiple synergistic hybrid feedback control laws for mechanical systems on matrix Lie groups with left-invariant metrics. With the goal of globally asymptotically tracking a desired reference ...

• Optimal Positioning of Snake Robots in Vortex Wakes using Extremum-Seeking Control. 

  Orucevic, Amer; Lysø, Mads Erlend Bøe; Schmidt-Didlaukies, Henrik; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2023)

  In this paper we explore the optimal positioning of an underwater snake robot (USR) for energy harvesting in the wake of a bluff body. The USR and fluid are simulated jointly using a coupled vortex particle-mesh method and ...

• Introduction to CiviMatics 

  Vajen, Bastian; Strømskag, Heidi; Gildehaus, Lara (Chapter, 2023)

• A collision avoidance algorithm with intention prediction for inland waterways ships 

  Tran, Hoang Anh; Johansen, Tor Arne; Negenborn, Rudy (Chapter, 2023)

  Collision avoidance is one of the most challenging problems in developing a Maritime Autonomous Surface Ship. This paper proposes a new collision avoidance algorithm for inland waterway ships. The algorithm addresses the ...

• On Eigenvectors and Eigenvalues: An Examination of University Students’ Concept Images of Eigenvectors and Eigenvalues, and their Modes of Thinking 

  Lyse-Olsen, Emilie (Master thesis, 2023)

  Som et av de første emnene studenter møter på universitetsnivå, introduserer linear algebra studentene for en verden av begreper, objekter og representasjoner. Imidlertid kan disse abstrakte begrepene og deres representasjoner ...

• Resource-efficient federated learning robust to communication errors 

  Lari, Ehsan; Gogineni, Vinay Chakravarthi; Arablouei, Reza; Werner, Anders Stefan (Peer reviewed; Journal article, 2023)

  The effectiveness of federated learning (FL) in leveraging distributed datasets is highly contingent upon the accuracy of model exchanges between clients and servers. Communication errors caused by noisy links can negatively ...

• Autoencoder-based hyperspectral anomaly detection using kernel principal component pre-processing 

  Müller, Katinka; Gogineni, Vinay Chakravarthi; Orlandic, Milica; Werner, Anders Stefan (Chapter, 2023)

  Anomaly detection in hyperspectral remote sensing applications has attracted colossal attention due to its ability to uncover small distinctive objects dispersed across large geographical areas in an unsupervised manner. ...

• Vector Field Path Following of Static Sinusoidal Paths for Underwater Snake Robots 

  Gushkov, Ivan Ivanov; Orucevic, Amer; Pettersen, Kristin Ytterstad; Yao, Weijia; Gravdahl, Jan Tommy (Chapter, 2023)

  In this paper, a guiding vector field (GVF) approach is applied to solve the path-following problem of a static unbounded sinusoidal path for an underwater snake robot (USR) in the presence of constant irrotational currents. ...

• Augmenting Tables Using Annotated Document Collections 

  Stensrud, Christoffer (Master thesis, 2023)

  Tabeller på nettet tilbyr en uvurderlig innsikt i data, spesielt relasjonell data. De kan flette sammen tilsynelatende urelaterte datapunkter til sammenhengende strukturer med impliserte relasjoner. Evnen til å utvide slike ...

• Explain errors and improve timeseries forecasting models using XAI 

  Hossain, Md Amjad (Master thesis, 2023)

  Tidsserieprognoser er avgjørende for finansinstitusjoner og bransjer, og krever forskjellige modeller for forskjellige årstider og tidslinjer for å oppnå nøyaktige spådommer. Uventede feil oppstår imidlertid ofte på grunn ...

• Satellite uplink interference measurements in the 437 MHz UHF amateur radio band onboard LUME-1 

  Quintana Diaz, Gara; Ekman, Torbjörn; Camanzo, Alejandro; Birkeland, Roger; Lago, José Miguel; Muíño, Alberto González; Aguado, Fernando (Peer reviewed; Journal article, 2023)

  Satellite operators struggle to communicate with their satellites over Europe in the UHF amateur band (430–440 MHz) due to high power in-orbit interference. Statistical characterisation of the interference beyond average ...

• Theoretical analysis of electrostatic energy harvester configured as Bennet's doubler based on Q-V cycles 

  Truong, Binh Duc; Le, Phu Cuong (Peer reviewed; Journal article, 2023)

  We present a theoretical analysis of a MEMS electrostatic energy harvester con-figured as Bennet's doubler. The steady-state operation of the circuit can be approximated by a rectangular Q-V cycle in the ideal case or by ...

• Autonomous Flow-Based TSCH Scheduling for Heterogeneous Traffic Patterns: Challenges, Design, Simulation, and Testbed Evaluation 

  Urke, Andreas Ramstad; Kure, Øivind; Øvsthus, Knut (Peer reviewed; Journal article, 2023)

  The Industrial Internet of Things needs wireless communication with bounded latency and stronger robustness. Nodes employing the Time Slotted Channel Hopping (TSCH) MAC operate according to a schedule, and recent work on ...

• Modelling and simulation of interaction forces in tugboat-assisted docking of large marine vessels 

  Kristiansen, Raymond; Ørke, Henning; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2024)

  In this paper, we address modelling and simulation of dynamics involved in docking of large marine vessels with aid of tugboats, with the aim of providing a tool for improved design of control algorithms for autonomous ...

• A Way to Lay Out Argument Maps 

  Bendiksen, David (Master thesis, 2023)

  Forfatteren har gjennomført et masterprosjekt i samarbeid med Disputas AS, en norsk oppstartsbedrift som spesialiserer seg innen visualisering av uformell logikk. Målet med prosjektet var å utvikle en graflayoutalgoritme ...

• Suitability assessment of high-power energy storage technologies for offshore oil and gas platforms: A life cycle cost perspective 

  Adeyemo, Ayotunde Adekunle; Alves, Erick Fernando; Marra, Francesco; Iglesias Brandao, Danilo; Tedeschi, Elisabetta (Peer reviewed; Journal article, 2023)

  This paper presents a technology suitability assessment (TSA) of high-power energy storage (ES) systems for application in isolated power systems, which is demonstrated through the case of offshore oil and gas platforms ...

• KNITTIR - Semantic Text Indexing 

  Vu, Thanh-Hi Anthony (Master thesis, 2023)

  Med den økende mengden data tilgjengelig gjennom nettet, står brukere overfor ut- fordringen med å utføre analytiske oppgaver på tekst. Dette inkluderer å trekke ut lignende tekstområder med relevant informasjon, samt ...

• Predicting Personality in Job Interviews By leveraging Emotion Recognition from Multi-Modal Sentiment Analysis Models 

  Abdi-Salah, Abdulfatah (Master thesis, 2023)

  Den økende bruken av digitale intervjuer i ansettelsesprosessen har akselerert forskning på metoder som kan forbedre deres effektivitet. Rekrutterere benytter seg av AI-metoder for å få en dypere forståelse av kandidater ...

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