• Large Multiples : exploring the large-scale scattergun approach to visualization and analysis 

      Holsbø, Einar (Master thesis; Mastergradsoppgave, 2014-05-15)
      We create 2.5 quintillion bytes of data every day. A whole 90% of the world’s data was created in the last two years.1 One contribution to this massive bulk of data is Twitter: Twitter users create 500 million tweets a day,2 which fact has greatly impacted social science [24] and journalism [39]. Network analysis is important in social science [6], but with so much data there is a real danger of ...
    • M2S and CAIR. Image based information retrieval in mobile environments. 

      Aarbakke, Anne Staurland (Master thesis; Mastergradsoppgave, 2007-05-01)
      Images are commonly used on a daily basis for research, information and entertainment. The introduction of digital cameras and especially the incorporation of cameras in mobile phones makes people able to snap photos almost everywhere at any time since their mobile phone is almost always brought with them. The fast evolution in hardware enables users to store large image collection without high ...
    • Management of large geospatial datasets 

      Lau, Ka Hin (Mastergradsoppgave; Master thesis, 2022-05-15)
      In large simulations, like predicting the movement of ocean particles, it is common that simulation executions are related when they share one or more inputs. When the number of simulations increases, it becomes harder for users who run the simulations to keep track of all the simulations. Also, more storage spaces are wasted if there are multiple copies of the same input files. This thesis ...
    • Mario. A system for iterative and interactive processing of biological data 

      Ernstsen, Martin (Master thesis; Mastergradsoppgave, 2013-11-15)
      This thesis address challenges in metagenomic data processing on clusters of computers; in particular the need for interactive response times during development, debugging and tuning of data processing pipelines. Typical metagenomics pipelines batch process data, and have execution times ranging from hours to months, making configuration and tuning time consuming and impractical. We have analyzed ...
    • The Mask: Masking the effects of Edge Nodes being unavailable 

      Zhakun, Ilia (Mastergradsoppgave; Master thesis, 2021-11-15)
      The arctic tundra is observed to collect data to be used for climate research. Data can be collected by cyber-physical computers with sensors. However, the arctic tundra has a limited availability of energy. Consequently, the nodes rely on batteries and sleep most of the time to increase the battery-limited operational lifetime. In addition, only a few nodes can expect to be in reach of a back-haul ...
    • Metadata state and history service for datasets. Enable extracting, storing and access to metadata about a dataset over time. 

      Hansen, Roberth (Master thesis; Mastergradsoppgave, 2018-05-14)
      Distributed Arctic Observatory (DAO) aims to automate, streamline and improve the collection, storage and analysis of images, video and weather measurements taken on the arctic tundra. Automating the process means that there are no human users that needs to be involved in the process. This leads to a loss of monitoring capabilities of the process. There are insufficient tools that allow the human ...
    • Motivating for behavioral change through smart nudging. Evaluating digital representations of psychological effects 

      Gjærum, Isak (Master thesis; Mastergradsoppgave, 2021-05-13)
      This thesis aims to study psychological effects and how to represent them digitally within a smart nudging system. A smart nudging system creates personalized digital nudges that are highly relevant to the user's context. How the system presents the nudges and what psychological effects are used is critical to influencing the user towards the nudging goal. The goal of the thesis is to find, implement ...
    • Multi-site multi-synchronous support for SQLite augmented for Local- First Software 

      Khan, Tabassum (Mastergradsoppgave; Master thesis, 2023-05-12)
      At the one end of the spectrum, locally installed applications allow users to work offline and at their convenience but do not support collaboration among multiple users or devices. At the other end, cloud-based applications offer collaboration and data synchronization but require an uninterrupted internet connection. To address these limitations, Local-First software was introduced to merge the ...
    • Multiparadigm Optimizing Retargetable Transdisciplinary Abstraction Language 

      Kåven, Ove Henrik (Master thesis; Mastergradsoppgave, 2015-04-12)
      Scientists and engineers require ever more powerful software and hardware to analyze data and build models. Unfortunately, current solutions to the problem are often hard to use for scientists that are not software engineers. And software engineers often do not have the mathematical background to understand the scientific problem to solve. This thesis describes MORTAL, a new general-purpose ...
    • Neo: Virtual Object Modeling using Commodity Hardware 

      Bye Nilsen, Thomas (Master thesis; Mastergradsoppgave, 2019-05-15)
      Recent developments in augmented reality technology have paved way for newapplications in a wide range of areas. These include the commercial markets,medicine applications, military applications and education. The technology pro-vides immersive images to enhance our perception of the world. Augmentedreality addresses challenges related to problem-solving by seamlessly integrat-ing digital images ...
    • Nudging according to user’s preferences 

      Saleem, Sufyan (Mastergradsoppgave; Master thesis, 2022-11-15)
      Physical inactivity has been identified as a global pandemic, physical inactivity causes multiple health outcomes in different demographic group such as coronary heart disease, type 2 diabetes, colon, and breast cancer. A physical inactive person takes less than 5000 steps a day. To try to reduce physical inactivity along individual for healthy lifestyle, this thesis provides personalized digital ...
    • Objekt-adapter og programmeringsgrensesnitt for ANSAware applikasjoner 

      Hanssen, Øyvind (Master thesis; Mastergradsoppgave, 1994)
      I denne hovedfagsavhandlinga undersøkes avbildningsmekanismer mellom ANSAware applikasjoner og en føderativ omgivelse. Dette gjøres innefor rammen av ODS-gruppas arbeid med samvirkende informasjonssystemer. For å få kunnskap om problemområdet og om hvordan avbildning effektivt kan utføres, utvikles et rammeverk for modellering, design og implementasjon av avbildningsmekanismer. Vi fokuserer spesielt ...
    • Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual Disabilities 

      Sivakumar, Keerthana (Mastergradsoppgave; Master thesis, 2023-09-11)
      Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual Disabilities. This project aims to develope a dynamic content solution that are user centric. The rationale is that by allowing the participants to customize and use other themes, colors, etc., the participant will be more engaged and use the application more. Which in turn will increase ...
    • Personalized Nudges with Edge Computing 

      Andersen, Elisabeth Sie (Mastergradsoppgave; Master thesis, 2022-05-02)
      This thesis aims to investigate the role of edge computing in a smart nudging system. A smart nudging system has requirements for efficient data processing of personal and context-aware data from heterogeneous sources. Furthermore, a smart nudging system needs to protect and preserve the privacy of data within the system. Edge computing has been proposed as a computing paradigm in a smart nudging ...
    • Precise video feedback through live annotation of football 

      Grønvik, Johan (Master thesis; Mastergradsoppgave, 2012-06)
      The domain of sports analysis is a huge field in sports science. Several different computer systems are available for doing analysis, both expensive and less expensive. Some specialize in specific sports such as football or ice hockey, while others are sports agnostic. However, a common property of most of these systems is that they try to give in-depth and detailed analysis of the sport in question. ...
    • Presenting CODS (Cell Organelle Dynamic Simulation) 

      Celeste, Aaron (Master thesis; Mastergradsoppgave, 2023-05-15)
      The interactions between organelles within living cells have an effect on the health of the organism [1]. One way to study this behavior is to develop algorithms which can automatically detect and track objects in microscopy video data. A large amount of data is needed to train algorithms to identify particular behaviors in subcellular machinery. If the case of segmentation is considered, videos of ...
    • Privacy-Preserving and Secure Pilot Self-Assessment 

      Eide, Kim Grønning (Mastergradsoppgave; Master thesis, 2022-05-15)
      There is a strong culture for using safety risk management tools to monitor the different parts of the operation in the aviation industry. However, most of the monitoring that is being done is done on the technical conditions of the aircraft rather than on the pilot. While there is an expectation that the pilots self-assess their health regarding how fit the pilot is to operate an aircraft, all the ...
    • Privacy-preserving smart nudging system: resistant to traffic analysis and data breach 

      Hussain, G M A Mehedi (Mastergradsoppgave; Master thesis, 2020-10-05)
      A solution like Green Transportation Choices with IoT and Smart Nudging (SN) is aiming to resolve urban challenges (e.g., increased traffic, congestion, air pollution, and noise pollution) by influencing people towards environment-friendly decisions in their daily life. The essential aspect of this system is to construct personalized suggestion and positive reinforcement for people to achieve ...
    • Record linkage of Norwegian historical census data using machine learning 

      Park, Narae (Mastergradsoppgave; Master thesis, 2022-08-02)
      The Historical Population Register (HPR) is a project to build the longitudinal life history of individuals by integrating the historical records of the people in Norway since the 19th century. This study attempted to improve the linking rate between the 1875-1900 censuses in HPR, which is currently low, using machine learning approaches. To this end, I developed a machine learning model for linking ...
    • A Robot System for Personalized Language Education. Implementation and evaluation of a language education system built on a robot 

      Dündar, Yigit Can (Master thesis; Mastergradsoppgave, 2020-06-29)
      As modern computer hardware becomes more affordable, the application areas of Artificial Intelligence (AI) expand and become more feasible to implement efficiently. This aspect opens up opportunities where AI robots can be used to support and improve many areas of human lives. One such area is education, and this thesis project combines AI and education to evaluate whether the results from that union ...