Blar i Studentoppgaver (TN-IDE) på tittel

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    • Positioning in electromagnetic fields 

      Stangeland, Kristian (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)
      Drones (or Unmanned Aerial Vehicles) can become an important tool for performing the regular inspection of overhead power lines in difficult terrain. This currently requires a pilot, but if we could detect the position ...

    • Pre-study on Multi-access Edge Computing at Communication Technology lab: simulator/emulator 

      Hoang, Gia (Bachelor thesis, 2022)
      Multi-access edge computing has been on the rise since the evolution of 5G. There are challenges that 5G has been fighting with, such as latency and data being transferred. In this paper, it will talk about the background ...

    • Pre-study on Network Function Virtualization at Communication Technology Lab: Emulator 

      Wasilewska, Sylwia (Bachelor thesis, 2022)
      Network Function Virtualization (NFV) is a network architecture framework that virtualizes functions that were traditionally tied to hardware and allows for higher flexibility of deployment of network services. It is growing ...

    • Pre-study on Wireless Communication lab: medium access control 

      Sebastian Gustavsen; Nils Petter Håberg (Bachelor thesis, 2023)
      This thesis aims to create a series of exercises to help students understand wireless communication MAC schemes better. We did this by finding the right tool to help us create good exercises. The right tools for the exercises ...

    • Pre-study on Wireless Communication lab: medium access control 

      Nils Petter Håberg; Sebastian Gustavsen (Bachelor thesis, 2023)
      This thesis aims to create a series of exercises to help students understand wireless communication MAC schemes better. We did this by finding the right tool to help us create good exercises. The right tools for the exercises ...

    • Predict the flow of well fluids : a big data approach 

      Asadollahi, Reza (Master thesis, 2014-06-26)
      In the oil and gas industry, millions of records of data are registered every day. The data is composed by a mix of structured and unstructured sources. For example downhole gauges and wellhead sensors are logging pressure ...

    • Predicting popularity of Reddit posts using machine learning 

      Wigsnes, Fredrik (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Using data from the social network Reddit, we see if there are ways to predict if a submission will gain popularity, going into detail in components of a Reddit post, and try to determine if it will be successful. Analyzing ...

    • Prediction of Downhole Pressure while Tripping into wellbore during Drilling Operations using Machine Learning Techniques 

      Karunakaran, Subankan; Panchalingam, Mithushankar (Master thesis, 2022)
      Surge and swab pressure occur while tripping in and out, respectively, of a wellbore during drilling operations. High tripping speed can lead to fracturing the well formation, whereas low tripping speed can lead to an ...

    • Prediction of Downhole Pressure while Tripping into wellbore during Drilling Operations using Machine Learning Techniques 

      Karunakaran, Subankan; Panchalingam, Mithushankar (Master thesis, 2022)
      Surge and swab pressure occur while tripping in and out, respectively, of a wellbore during drilling operations. High tripping speed can lead to fracturing the well formation, whereas low tripping speed can lead to an ...

    • Prediction of Energy Consumption Peak in Household by using LSTM & MLP 

      Karimi, Azadeh (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Accurate peak load forecasting plays a key role in operation and planning of electrical power generation. To minimize the operating cost, electric suppliers use forecasted peak load to control the number of running generator ...

    • Prediction of Psychosis in Parkinson’s Patients using Machine Learning 

      Podhraški, Andrijana; Tjersland, Trond (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      Parkinson’s disease is one of the most common neurological disorders with an estimated 6.3 million PD patients worldwide, which makes it a great threat to public health. Psychosis is a common symptom of Parkinson’s disease ...

    • 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 ...

    • Predictive maintenance with industrial sensor data 

      Sakarvadia, Manisha Pranav (Master thesis, 2023)
      The Norwegian Ministry of Petroleum and Energy Commissions report shows that the government is making a large step closer to its ambition of allocating regions for 30,000 MW offshore wind via way of means of 2040. According ...

    • Predictive modeling of trust to social media content 

      Daniel, Samuel (Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-27)
      In recent years, social networking sites have got a massive popularity because they let people to devise a public profile within a tied system. As the popularity increases and they became widely used as one of the important ...

    • 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 ...

    • Privacy of 5G Enabled Networks: Homomorphic Encryption based Privacy-Preserving Machine Learning 

      Pierzgalski, Emil Alan (Master thesis, 2023)
      Homomorphic encryption (HE) is a technique that allows computations to be performed on encrypted data, just as if the data were unencrypted. This has numerous potential applications, such as sensitive medical data, mainly ...

    • Privacy preserving for Big Data Analysis 

      Russom, Yohannes (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      The Safer@Home [6] project at the University of Stavanger aims to create a smart home system capturing sensor data from homes into it’s data cluster. To provide assistive services through data analytic technologies, ...

    • Privacy-Preserving Machine Learning for Health Institutes 

      Wibawa, Febrianti (Master thesis, 2022)
      Medical data is, due to its nature, often susceptible to data privacy and security concerns. The identity of a person can be derived from medical data. Federated learning, one type of machine learning technique, is popularly ...

    • Probabilistic field mapping for product search 

      Ghirmatsion, Aman Berhane (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06)
      Online shopping has shown a rapid growth in the last few years. Robust search systems are arguably fundamental to e-commerce sites. Most importantly, sites should have smart retrieval systems to present optimized ...

    • Projisering av geologiske modeller i en sandkasse, et brukergrensesnitt utviklet for GemPy og Open AR Sandbox 

      Jørgensen, Sander; Finnesand, Erik; Solheim, Brage (Bachelor thesis, 2021)
      Gruppen fikk tildelt en oppgave hvor formålet var å videreutvikle programvaren Open AR Sandbox. Et simuleringsprogram som bruker en sensor og projektor til å vise ulike moduler i en fysisk sandkasse. Idéen er at en bruker ...