Studentoppgaver (TN-IDE): Nye registreringer

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    • Spark Optimization: A Column Recommendation System for Data Partitioning and Z-Ordering on ETL Platforms 

      Jacobsen, Håvard Moe; Flotve, Ola Andrè (Master thesis, 2023)
      In this thesis, we present a solution for the challenge of optimizing the retrieval of data in Spark. Our column recommendation system is based on Spark's event logs and finds influential columns for Z-ordering and ...

    • Automatic test-system for resolver measurement used in robots 

      Ånestad, Lasse (Master thesis, 2023)
      The Serial Measuring Unit (SMU) is a component used to measure motor angles in robot joints at ABB. Currently, the SMU is under development, and ABB has to manually test the SMU to ensure that changes to the software or ...

    • New control structure for high voltage fields 

      Trydal, Jens Immerstein (Master thesis, 2023)
      In electrostatic painting, a high voltage is applied to the paint, attracting the paint particles toward a grounded work object, drastically increasing the efficiency of the painting process. However, combining high voltage ...

    • Deep learning-based automated detection and clustering of potholes using variational autoencoder for efficient road maintenance 

      Grønner, Daniel; Eik, Elisabeth (Master thesis, 2023)
      In this study we explore the possibility of using unsupervised learning for pothole detection. We will use images of roads from Brazil where both potholes and cracks can be present in the images, as well as clean images ...

    • Data Driven Model Discovery - Petroleum application 

      Søndeland, Sander André (Master thesis, 2023)
      The SINDy algorithm is a data driven algorithm that discovers dynamical system in data that evolves over time. The method can be utilized for every dataset that evolves over time. In this study we have looked the Lorenz ...

    • Prediksjon av trykk i brønner under boreoperasjoner ved bruk av maskinlæringsteknikker 

      Grindalen, Jonas; Krøyer, Vebjørn Njåtun (Master thesis, 2023)
      Denne avhandlingen undersøker bruken av maskinlæring (ML)-algoritmer for prediksjon av trykkstigning og trykksenkning under boring i olje- og gassektoren. Disse trykkene er avgjørende for å opprettholde brønnstabilitet og ...

    • Rate of Penetration (ROP) Optimization through Data-Driven Approach 

      Adnan, Isar (Master thesis, 2023)
      One method to lower cost and Non-Productive Time (NPT) in drilling wells is to achieve the highest rate of penetration (ROP). ROP is influenced by a variety of factors, including tooth attrition and hole cleaning. Three ...

    • Simulating Swarm's storage incentive 

      Tjessem, Kristian Horve (Master thesis, 2023)
      Swarm is a decentralized storage platform consisting of several independently operated nodes. The nodes store data units called chunks. Storing chunks allows them to partake in Swarm's storage incentive. The storage incentive ...

    • A Federated Computational Workflow for Analysis of DISKOS Digital Palynological Slides 

      Udegbunam, John Emeka; Gonzalez, Reynel Isaac Villabona (Master thesis, 2023)
      A novel federated computational workflow for analyzing digital palynological slide images is implemented in this thesis. The slide data files, typically exceeding 3GB, present significant data mobility and computation ...

    • Health Index Estimation and RUL Prediction on Gear Pumps 

      Henrik Skulevold (Master thesis, 2023)
      This thesis explores innovative machine learning and signal processing techniques to accurately estimate the wear by constructing Health Indexes and predict the Remaining Useful Life (RUL) of gear pumps used in ABB Robotics’ ...

    • Real-time latency regression testing with extreme value theory 

      Olsen, Sander Låstad (Master thesis, 2023)
      This paper creates a regression testing system for real-time latency data measured using cyclictest and hackbech, and uses extremem value theory (block maxima, specifically) to compute an acceptable lower and upper bound ...

    • Improved automatic testing of events on robot-path measurements used in robots 

      Gundersen, Alide (Master thesis, 2023)
      This master’s thesis investigates the activation time of electrical signals along a robot’s path and explores the potential impact of calculation errors in robot position and speed. The study emphasizes the need for reliable ...

    • Rask Policy-Læring Gjennom Imitation Learning og Reinforcement Learning i Løfteoperasjoner 

      Liebert, Robin; Yurchenko, Yuriy (Master thesis, 2023)
      I denne forskningen ble implementering og evaluering av en ny læringsmetode for autonom kranoperasjon kalt LOKI-G (Locally Optimal search after K-step Imitation - Generalized) ved hjelp av Closed-form Continous-time (CfC) ...

    • Bruk av ekstern sensor for å korrigere robotbane i sanntid 

      Thorkildsen, Erlend Ettersti (Master thesis, 2023)
      This master thesis investigates the feasibility of using ABB's Externally Guided Motion (EGM) with path correction to adjust a pre-programmed robot path in real-time. The research explores whether the EGM controller, along ...

    • Videreutvikling av 3D selvredningsspill for tunnelbrann 

      Søberg, Jesper; Tysdal, Magnus; Kase, Simen G. (Bachelor thesis, 2023)
      Denne avhandlingen presenterer et system som gir tilgang til dataene i Nasjonal Vegdatabank (NVDB) for en spill-simulering av en tunnel. De primære målene var å skape en mer realistisk spillopplevelse, ved å gjøre tunnelen ...

    • An Emulation Framework for Evaluating V2X Communications in C-ITS Applications 

      Essandoh Raymond (Master thesis, 2023)
      C-ITS enhances transportation systems with advanced communication tech, enabling vehicle-to-vehicle and vehicle-to-infrastructure data exchange for real-time decision-making. The thesis explores C-ITS concepts, DSRC, and ...

    • Tunnel Traffic Forecasting Using Deep Learning 

      Riaz, Aman (Master thesis, 2023)
      Tunnel traffic congestion can increase the risk of traffic accidents, tunnel fires, and environmental effect. Despite numerous studies on traffic forecasting using deep learning, research on tunnel traffic remains ...

    • Automated Fact-Checking of Podcasts 

      Becker, Adam James (Master thesis, 2023)
      Podcasts have gone mainstream and continue to attract ever larger audiences, particularly among younger demographics, while the internet-broadcast nature of the medium leaves listeners with little recourse in the face of ...

    • A Deep Learning Approach to Generating Human Faces in 3D Media 

      Carlsson, Tor Håkon (Master thesis, 2023)
      This paper proposes new machine learning architectures for generating face meshes that can be used in 3D media. They are based on the architecture introduced in "pix2pix: Image-to-image translation with a conditional GAN". ...

    • Detection of MITM using AI 

      Fernandez, Alistar Thomas Cyril (Master thesis, 2023)
      In the current digital era, there is a rising need for interconnected networks and communication systems, which raises the risk of cyberattacks, notably the Man-in-the-Middle (MitM) attack. An adversary intercepts and ...