Now showing items 21-40 of 50

    • 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 ...
    • Image Processing and Deep Neural Networks for Detection of Immune Cells on Histological Images of Bladder Cancer 

      Svendsen, Fredrik (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Bladder cancer is the tenth most common cancer type, where urothelial carcinoma is the most common type of bladder cancer. Bladder cancer has been classified as the most expensive type of cancer per patient, as the need ...
    • Implementation and experimental evaluation of live replacement and reconfiguration 

      Lea, Tormod Erevik (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      State machine replication is a common applied technique for building fault-tolerant services. The technique uses a collection of replicas to mask failures. All replicas are provided the same sequence of operations (requests), ...
    • 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 ...
    • Investigating how partial aggregation impacts K-means 

      Chiliboyi, Erick (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      K-means is the most commonly known partitioning algorithm used for data clustering. It was originally designed to run on a single processor. Therefore, this created a limitation on dealing with large amounts of data ...
    • Kamerabasert navigasjonssystem implementert i MATLAB for fjernstyring av mobil robot 

      Stegen, Stein Tore (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      Denne rapporten omhandler utvikling, konstruksjon og testing av en fysisk modell som både skal kunne brukes i laboratoriesammenheng for fremtidige kybernetikkstudenter ved Universitetet i Stavanger (UiS), og for å skape ...
    • 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 ...
    • Modelling of urban traffic networkof signalized intersections 

      Ocran, Abena Kwantwiwaa (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      This report presents how traffic network of signalized intersection in a chosen urban area called Tema is synchronized. Using a modular approach, two different types of traffic intersection commonly found in an urban area ...
    • Multivariate statistical analysis with experimental data 

      Li, Juncheng (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
      Collected data from the sensors monitoring the environment in oil industry are various and raw, multivariate statistical analysis can turn these data into meaningful information. This paper would introduce some typical ...
    • Myocardial Segmentation in LGE-CMR Images Using Deep Neural Networks 

      Kregnes, Anders (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-07-29)
      Cardiovascular diseases are the number one cause of death globally. 85% of these deaths are related to acute myocardial infarction or stroke. One of the methods that are used to diagnose patients affected by myocardial ...
    • Network and security challenges in cloud computing infrastructure as a service model 

      Abdollahifar, Anahita (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      The aim of the project is improving available approaches in Cloud Computing security. Because there is some limitations for understanding there is not enough information that how available Clouds are working and ...
    • Optimization of object detection in newborn resuscitation videos 

      Austnes, Simon (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)
      99% of deaths of children under 28 days of age takes place in low- and middle-income countries. Most of these deaths are due to complications during childbirth. Newborn resuscitation heavily revolves around ventilation, ...
    • Performance analysis and optimization of left outer join on map side 

      Ming, Hao (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      Ontologies are representations of the entities and relationships that structure an application area. Ontologies are important for tasks such as data integration, natural-language processing, information retrieval, and ...
    • 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 ...
    • 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, ...
    • Quadratic Sieve integer factorization using Hadoop 

      Ghebregiorgish, Semere Tsehaye (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      Integer factorization problem is one of the most important parts in the world of cryptography. The security of the widely-used public-key cryptographic algorithm, RSA [1], and the Blum Blum Shub cryptographic ...
    • 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 ...
    • 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 ...
    • Safer Births - Using Deep Neural Networks on Fetal Heart Rate Signals 

      Berntsen, Stian (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Infant death is a big issue, especially in Africa and parts of Asia where between 24 and 30 [21] in every thousand do not survive the first month. In Europe this number is only 5.9 in every thousand. Reading fetal heart ...
    • Seeded growing algorithms for salt body segmentation in post-stack seismic data 

      Alabbasi, Nour (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      For a more accurate geological model, it is crucial to have proper segmentation and delineation of structures. Salt structures are known to be difficult to segment given their chaotic nature; however, there are methods ...