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  • Automatic Detection of Features from Atlantic Salmon by Classical Image Processing 

    Aanestad Lende, Christer; Lundal, Joachim Nising (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)
    The methods created for this project aim to locate the salmon in the image and extract features from it. The aim of the features are to recognize individual salmon from each other. Individual identification, done by RFID ...
  • Real-time graph visualization in a single-page application 

    Boe, Fabian Legland (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
    In this project a single-page application for visualizing factory data was created. The application uses Graphviz to draw graphs. It keeps the graph updated by fetching data from a server using WebSockets and RPC. The graph ...
  • Self-Emerging Proof-of-Storage Challenges Using Smart Contracts 

    Barati, Daniel (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
    Proof-of-Storage (PoS) is a collective term for protocols that allow proving data integrity and availability. There exist several PoS schemes. While they differ in detailed specifications, their common primary advantage ...
  • Smart Meter Based Load Forecasting for Residential Customers Using Machine Learning Algorithms 

    Resulaj, Redjol (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-12)
    The focus of this thesis is the use of machine learning algorithms to perform next step short term load forecasting on fifty five households in Stavanger, Norway. A dataset containing electricity consumption data for more ...
  • Business Management Execution On Data Streams 

    Stensland, Nicolai Vikanes (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
    The world of business management is largely populated with data warehouses as a single source of truth. However, in recent years a shift towards the data origin known as data streams have arisen. Corporater, which is one ...
  • Strict ordering guarantees for event-source systems 

    Tvedt, Ferdinand (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019)
    The digital world is constantly developing globally, more people are connecting to the internet every day and companies that used to be national businesses are developing into international businesses. The constant stream ...
  • Domain Restricted Types for Improved Code Correctness 

    Fløysvik, Nicolas (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
    ReDi is a new static analysis tool for improving code correctness. It targets the C# language and is a .NET Roslyn live analyzer providing live analysis feedback to the developers using it. ReDi uses principles from formal ...
  • Evaluation of low-cost software-defined LTE/5G frameworks: cloudification 

    Håland, Mari (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
    There has been a tremendous rise in mobile communication units over the past decade. Where cellphones once dominated the user market for fast wireless communication solutions, we now see an abundance of devices and appliances ...
  • 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 ...
  • Segmentation of infarcted regions in Perfusion CT images by 3D deep learning 

    Tomasetti, Luca (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
    This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ...
  • 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 ...
  • Visualization and comparison of geospatial data 

    Tjemsland, Tom Kristian (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019)
    Every second, a mind-numbing amount of data concerning the real world is gathered worldwide. Everything from the speed of cars through a road junction, to the geographical position of African lions, are registered and ...
  • 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 ...
  • Refactoring Monolithic Application into Cloud-Native Architecture 

    Shahid, Hafiz (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
    Cloud Native is an approach, using which, applications are developed and run in such a way as to exploit and use the maximum features of cloud computing. Going cloud native does not just mean deploying your code to the ...
  • Generating Retro Video Game Music Using Deep Learning Techniques 

    Book, Magnus Særsten (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019)
    Music generation using deep learning is a widely studied field. This thesis focuses on music generation in a constrained and novel environment; retro video game music. The constraints imposed by the environment creates ...
  • A Web Based Solution to Track Trawl Vessel Activities Over Pipelines in Norwegian Continental Shelf 

    Palanisamy, Anandhakumar (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
    Vessel Activities such as trawling and anchoring represent a risk to offshore marine structures such as pipelines, subsea structures, cables and platforms. Third party interference is a major contributor to the damage and ...
  • Analysis of Residential Household Energy Consumption Using Smart Meter Data 

    Nwemambu, Chibuzor Valentina (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
    The need to change the source of electricity generation is apparent in the effect of climate change on the environment. Asides from the source change to renewable energy, the necessity for residents to understand their ...
  • Fake News Detection A Deep Neural Network 

    Chennam Lakhsmikumar, Priyanka (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
    News is an important source of information for people.Identifying the inaccurate news is a difficult problem. Fake news, defined by the New York Times ”as a made-up story with an intention to deceive”, often for a secondary ...
  • Intelligent supply and demand for marine protein factory (based on MindSphere platform) 

    Heidari, Paria (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-23)
    The purpose of this project is to collect Internet Of Things data from available sources in the value chain. Our viewpoint to observe IoT data streams from all different processes in the factory as well as get an ...
  • Evaluating Computer Vision Methods for Detection and Pose Estimation of Textureless Objects 

    Skutvik, Harald Thirud (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
    Robotics, AI and automation; search for these words and two things become apparent. An era of automation is upon us, but even so there are still some simple tasks that grinds it to a halt, e.g. picking and placing objects. ...

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