Blar i Studentoppgaver (TN-IDE) på forfatter "Wiktorski, Tomasz"

Viser treff 1-19 av 19

    • Application of Machine Vision and Spectral Analysis in the Seafood industry 

      Ramakrishnan, Malavika (Master thesis, 2021)
      The Norwegian seafood industry contributes largely to the global economy as Norway is one of the leading producers of seafood. Atlantic salmon is a widely consumed species of fish and has a large global market. The nutritional ...

    • Automated data alignment during sports events 

      Larsen, Kristoffer Skjæveland; Fattnes, Aleksander Odland (Bachelor thesis, 2021)
      We develop an algorithm to automate data alignment by precisely identifying stops in data collected from NEEDED 2018. Our approach make suggestions for a corrected timestamp and create a reports which are used for final ...

    • Automated data alignment during sports events 

      Fattnes, Aleksander Odland; Larsen, Kristoffer Skjæveland (Bachelor thesis, 2021)
      We develop an algorithm to automate data alignment by precisely identifying stops in data collected from NEEDED 2018. Our approach make suggestions for a corrected timestamp and create a reports which are used for final ...

    • Categorising offshore wind turbine installations, and investigating the weather impact during installations. 

      Gliniecki, Tomasz (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Categorising offshore wind turbine installations, and investigating the weather impact during installations.

    • Data Analysis for Physical Activity Monitoring 

      Khan, Rameesha Asghar (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Physical activity is essential for humans for maintaining a healthy and comfortable lifestyle. With science and technological advancements, there comes various guidelines for the amount of physical activity a person ...

    • Data quality and transit delay analysis for historical AVL data based on the SIRI protocol 

      Foss, Ine (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016)
      Traffic agencies are investing in advanced technologies to improve their services. An automatic vehicle monitoring (AVM) system with vehicle location provides vehicles with a device to record information. In a bus transit ...

    • Denoising bathymetric data through deep learning 

      Gulbrandsen, Magnus Vedahl (Master thesis, 2023)
      Bathymetric data is an extension of a point cloud and is used to describe the seafloor relative to the water’s surface. It can be used to create maps that portray what the seafloor looks like. It is important for the ...

    • Digital Architecture for an Automated Drilling Rig 

      Gilje, Jonas Emanuel; Levang, Lars Sverre; Bø, Vidar André (Bachelor thesis, 2022)
      The objective of this thesis was to develop the digital architecture for a small-scale drill rig intended for use by the Drillbotics team at the Uni- versity of Stavanger, for an international student competition by the ...

    • Digital Architecture for an Automated Drilling Rig 

      Bø, Vidar André; Levang, Lars Sverre; Gilje, Jonas Emanuel (Bachelor thesis, 2022)
      The objective of this thesis was to develop the digital architecture for a small-scale drill rig intended for use by the Drillbotics team at the Uni- versity of Stavanger, for an international student competition by the ...

    • Digital Architecture for an Automated Drilling Rig 

      Gilje, Jonas Emanuel; Levang, Lars Sverre; Bø, Vidar André (Bachelor thesis, 2022)
      The objective of this thesis was to develop the digital architecture for a small-scale drill rig intended for use by the Drillbotics team at the University of Stavanger, for an international student competition by the ...

    • Garmin applikasjon for analyse av helsedata 

      Hvitsten, Eirik; Gulbrandsen, Magnus; Hansen, Sigurd Grøvdal (Bachelor thesis, 2021)
      Denne bacheloroppgaven går ut på lage en applikasjon som skal brukes på en Garmin-smartklokke. Applikasjonen bruker de to maskinlæringsmetodene lineær regresjon og bestemmelsestre til å komme fram til om en person har ...

    • Hybrid Human/Machine Interpretation of Well Logs using Deep Learning 

      Haraldsen, Eirik Solland; Østrådt, Karl Meisland (Master thesis, 2021)
      Exploration and production wells in the oil and gas industry produce a vast amount of logging data. All petroleum data from the Norwegian continental shelf must be quality controlled and reported in a structured manner to ...

    • Hybrid Human/Machine Interpretation of Well Logs using Deep Learning 

      Haraldsen, Eirik Solland; Østrådt, Karl Meisland (Master thesis, 2021)
      Exploration and production wells in the oil and gas industry produce a vast amount of logging data. All petroleum data from the Norwegian continental shelf must be quality controlled and reported in a structured manner to ...

    • Investigation and study on reinforcement learning for optimizing well path 

      Chowdhury, Samiul Ehsan (Master thesis, 2021)
      Designing an optimal path has been considered one of the key challenges for drilling engineers. Even for a group of competent engineers, it takes many months to plan a well. A robust optimized path can influence total cost ...

    • Machine Learning Based System Health Check Analyzer For Energy Components 

      Alex, Anju (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      In any system health check is an important measure, which provides details on how the system is performing and whether there is a need for an intervention manual or automated to correct any anomaly. There are several ...

    • Minimum Word Error Rate Training for Speech Separation 

      Seo, Jungwon (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
      The cocktail party problem, also known as a single-channel multi-talker problem, is a significant challenge to enhance the performance of automatic speech recognition (ASR) systems. Most existing speech separation model ...

    • Predictive Maintenance for Lift Systems in Automated Storage and Retrieval Systems 

      Matre, Vegard; Øvrebø, Ådne (Master thesis, 2023)
      This thesis, conducted in partnership with AutoStore, examines the potential of predictive maintenance (PM) in the lift systems of their automated storage and retrieval robots. In the context of Industry 4.0, PM becomes ...

    • The application of big data analysis and machine learning for kick detection and kick prediction during drilling operations 

      Farzad, Maryam (Master thesis, 2021)
      Drilling operations for oil and gas extraction is a complex and risky process. Workers are not able to start the drilling operations unless they carefully accomplish some pre-drilling activities such as choosing a proper ...

    • Virtual Field Service Ecosystem (VSE) using AR (Augmented Reality) collaboration with SiemensAG 

      Gupta, Showmen (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      With the huge advancement of technologies, our viewpoint to see, hear, observe and feel the surroundings around us is changing every single moment. Building a virtual ecosystem is an idea which needs much time and effort. ...