Blar i Studentoppgaver (TN-IDE) på emneord "VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551"

Viser treff 1-20 av 28

    • A Practical Analysis of the Gorums Framework: A Case Study on Replicated Services with Raft 

      Pedersen, Sebastian Mæland (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      Gorums is a novel RPC framework developed to make it easier to build fault tolerant distributed systems. We want to assess whether Gorums can simplify the implementation of a practical fault tolerant service that supports ...

    • Adaptive Selection and Delivery of Rich Media Notifications to Mobile Users 

      Jonassen, Mats (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      The ongoing increase in cellular network coverage is steadily increasing the availability of individuals all around the world. This availability enables notification solutions to achieve their goals of announcing new ...

    • Answering Engine for Sport Statistics: Question Processing 

      Blaauw, Øyvind (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017)
      In recent years, there has been an increasing growth of interest among computer scientists for the topic of Linked Data and the Semantic Web. By connecting and publishing structured data from multiple sources, the Web ...

    • Answering Engine for sports statistics: Development of an ontology and a knowledge base 

      Mehdipour Pirbazari, Aida (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-17)
      Focus of this study is on development of a domain-specific ontology and a knowledge base of facts for a Question Answering system. This QA system accepts natural language questions about statistics of Formula One and ...

    • Augmented Reality Browser for Android Smartphones 

      Gutierrez Lautero, Jhon Jairo (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      Augmented Reality capabilities complement the reality captured by the sensors (human’s senses or technological devices) by adding virtual elements that improve the experience with the real world. The purpose of this ...

    • Automated false claims detection using deep neural networks 

      Rekve, Erlend (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Recently false claims and misinformation have become rampant in the web, affecting election outcomes, stock markets, and various other societal issues. Consequently, fact-checking and claim verification websites such as ...

    • Automatic collection and storage of smart city data with semantic data model discovery and sample data analysis 

      Minde, Julian (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      Collecting and storing smart city data is a task that requires thorough data exploration, configuring and testing to be of value. Configuring a data collection pipeline for data from a new data provider needs to take into ...

    • Automatic Entity Typing using Deep Learning 

      Hovda, Jon Arne Bø (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Knowledge bases contain vast amounts of information about entities and their semantic types. These can be leveraged in a variety of information access tasks like natural language processing and information retrieval. ...

    • Big Data Analytics- Case Study- Yelp Dataset 

      Therese Jose, Dhanya (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      In recent years, organizations have changed their work culture in which the business and IT leaders work together with the organizational data in order to make decisions and planning. The handling of these big data was ...

    • Capillary Refill using Augmented Reality 

      Clausen, Christoffer (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      The opportunities within augmented reality is growing. Augmented reality is a combination of the real and the virtual world in real time, and large companies like Microsoft and Google is now investing heavily in the ...

    • 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.

    • Decreasing Manual Workload by Automating SAP Travel Expense Workflows 

      Husebø, Ivan-Louis Miranda; Kvist, Andreas (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      In the 21st century, efficiency is a key focus for several organisations, and because of this, machine learning and process automation is getting a lot of attention. The Norwegian Government Agency of Financial Management ...

    • Deep Learning for text data mining: Solving spreadsheet data classification. 

      Kimashev, Aleksandr (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-09)
      This project developed for the Avito LOOPS company. Research goals was to investigate existing algorithms and implementations of Deep Learning, to understand their applicability to text mining, to design a solution that ...

    • Deep neural models to represent news events 

      Chechelnytskyy, Denys (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-05-15)
      The thesis is dedicated to the background linking tasks for news articles, utilizing the deep neural network models. The goal is to retrieve similar articles based on the news story currently viewed. We examined neural and ...

    • Developing an online monitor for discrete simulations 

      Salhus, Olav (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      This paper covers the design and implementation of a graphical simulation monitoring program. The monitor works in real-time or simulation time. The monitor is compatible with the modelling and simulation tool GPenSIM ...

    • GUI for petri net coverability tree 

      Wathne, Ronny (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-13)
      Petri nets are a long time established modeling concept for modelling and simulation of discrete-event systems. This thesis concerns the development of tools to perform analysis of Petri nets that contains places that are ...

    • Information Retrieval using applied Supervised Learning for Personalized E-Commerce 

      Hellum, Kjell Arne (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      Personalized E-Commerce Search Challenge issued by the International Conference on Information and Knowledge Management. By analyzing historical data containing browsing logs, queries, user interactions, and static data ...

    • Kvalifisering av smartklokke til bruk i HLR 

      Hove, Andreas (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      I denne oppgaven ble en smartklokke benyttet til å analysere brystkompresjoner ved hjerte-lunge-redning (HLR). Det ble utviklet to metoder for å måle dybde og rate i brystkompresjoner. Metodene ble verifisert i to eksperiment; ...

    • 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 ...

    • Machine Learning methods to detect improper and irrelevant citations 

      Shenavari Shirazi, Anousheh (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      The focus of this study is on the relation between papers and their citations using Machine Learning algorithms to detect improper and irrelevant citations. The model takes the paper’s citations and classifies them into ...