Vis alle innførsler i samlingen sortert på

 

Nye registreringer

  • Aquilier: An Ethereum-Based Smart Contract for Door-Lock Management in Home Assistant 

    Strand, Niklas (Mastergradsoppgave; Master thesis, 2023-12-15)
    The widespread adoption of distributed computer systems, exemplified by plat- forms like Airbnb and Booking.com, has transformed homes into rental proper- ties and streamlined vacation rentals by offering comprehensive tools for listing properties, processing payments, facilitating searches, and enabling communi- cation. However, a critical gap remains: these platforms do not facilitate ...
  • User-Aware Conflict Resolution 

    Helgaas, Ragnar (Master thesis; Mastergradsoppgave, 2023-06-26)
    A large-scale system that prioritizes high availability over extensive synchroniza- tion must make a design trade-off and implement a weaker form of consistency. Conflict-free Replicated Data Types(CRDTs) can enable replicas in the sys- tem to communicate asynchronously and achieve strong eventual consistency. SynQLite aims to implement CRDTs on top of relational databases with its addition of ...
  • Improving the performance of a Conflict-Free Replicated Relational Database System 

    Brynjulfsen, Sondre E. (Master thesis; Mastergradsoppgave, 2023-05-31)
    SynQLite is a relational database (RDB) built on SQLite. Using conflict-free replicated relations (CRR) to apply conflict-free replicated data types (CRDT) to augment the SQLite database. With SynQLite sites update their local replica without coordination from others sites, and sites converge once they have applied the same sets of updates. These sets of updates are fetched from the CRR and ...
  • System for measuring, storing, and visualizing pressure of patients dependent on a tracheostomy tube 

    Mørstad, Fredrik (Mastergradsoppgave; Master thesis, 2023-07-03)
    Wrongful removal of tracheostomy tubes is often associated with high drama for all parties involved. With children's repository system being under-documented, there is no consensus on when these tubes should be removed for children at different ages. Measuring the pressure generated by these children can help doctors make better decisions and give the tools for helping medical researchers reach a ...
  • M-CDS: Mobile Carbohydrate Delivery System 

    Puvanendran, Neethan (Mastergradsoppgave; Master thesis, 2023-06-20)
    When patients with type 1 diabetes (T1D) are physically active, they encounter an issue with keeping their blood glucose (BG) stable. Generally, their blood glucose level (BGL) will drop, causing hypoglycaemia which can have fatal consequences. The simple solution is to consume carbohydrates in the form of liquids or food, but during physical activities, it can be difficult to follow their BGL at ...
  • Continuous and automated data collection in migraine research - Extending the data collection capabilities of the Empatica E4 

    Ursin, Daniel (Mastergradsoppgave; Master thesis, 2023-06-01)
    Migraine is a recurrent headache disorder that afflicts significant portions of the global population. There is no current cure and migraines are mainly managed through symptomatic medical treatments and manual biofeedback routines. Automated data collection and prediction of migraine attacks through machine learning could be viable approaches for helping migraineurs and for reducing the impact of ...
  • Asynchronous replication of eventually consistent updatable views 

    Thomassen, Joachim (Mastergradsoppgave; Master thesis, 2023-06-01)
    Users of software applications expect fast response times and high availability. This is despite several applications moving from local devices and into the cloud. A cloud-based application that could function locally will now be unavailable if a network partition occurs. A fundamental challenge in distributed systems is maintaining the right tradeoffs between strong consistency, high availability, ...
  • Local-First Relation Views 

    Elvenes, Lars Marius (Mastergradsoppgave; Master thesis, 2023-06-01)
    In today's digital landscape where cloud-oriented approaches are widespread and an integral part, local-first software emerges to offer an alternative. It addresses concerns such as data control, privacy, offline capabilities, collaboration, and performance. The open-source relational database engine SQLite is a fitting candidate for local-first software as it is not reliant on network connectivity. ...
  • Fine-grained characterization of edge workloads 

    Kanck, Magnus (Mastergradsoppgave; Master thesis, 2023-06-01)
    Edge computing is an emerging paradigm within the field of distributed computing, aimed at bringing data processing capabilities closer to the data-generating sources to enable real-time processing and reduce latency. However, the lack of representative data in the literature poses a significant challenge for evaluating the effectiveness of new algorithms and techniques developed for this paradigm. A ...
  • Culture Enhancement for Exergames for Individuals with Intellectual Disability 

    Dybwad, Dorthe (Mastergradsoppgave; Master thesis, 2023-06-01)
    Background: Individuals with intellectual disabilities (ID) often face barriers when trying to engage in physical activity. Exergames, which combine physical exercise with gaming technology, have shown the potential to promote physical activity among this group of individuals. However, the suitability of exergames for individuals with ID from different cultural backgrounds has received ...
  • Exploring the inner mechanisms of 5G networks for orchestrating container-based applications in edge data centers 

    Fasteraune, Fredrik Hagen (Master thesis; Mastergradsoppgave, 2023-06-01)
    One of the novel new features of mobile 5G networks is what is commonly known as "Ultra Reliable Low Latency" communication. To achieve the "Low Latency" part, it is necessary to introduce processing and storage capabilities closer to the radio access network, thus introducing Edge data centers. An Edge data center will be capable of hosting third-party applications and a user of these ...
  • DiaLudus: Developing a Gamified Mobile App for Pediatric Diabetes Education 

    Brattland, Sigurd Johannes (Master thesis; Mastergradsoppgave, 2023-06-01)
    Type 1 diabetes is a chronic disease that causes significant challenges for the patient and their parents, affecting them physically and mentally. Approximately 450 children are diagnosed with type 1 diabetes in Norway yearly, necessitating lifelong self-management of their blood glucose levels. Early knowledge acquisition is crucial to improving the patient's prognosis and self-management skills. ...
  • An Intent-Based Reasoning System for Automatic Generation of Drone Missions for Public Protection and Disaster Relief 

    Grønvold, Marcel André (Mastergradsoppgave; Master thesis, 2023-06-01)
    The utilization of drones for search and rescue operations has become more prevalent over the years. Drones can provide an aerial perspective which can aid first responders in gaining an overview of a situation. Autonomous drones can automate search and rescue operations by removing the human pilot, which can increase efficiency and lower costs. The increased development of machine learning models ...
  • Through space and time 

    Devold, Erling Arvola (Mastergradsoppgave; Master thesis, 2023-06-02)
    Modern fishing vessels have a wide range of instruments and sensors on board that are used for active fishing operations, with sonar equipment and echo sounders being among the most common. Sonar allows horizontal observation of the water column, while echo sounders provide more precise underwater environment monitoring. These instruments are useful as they are used today but require a lot of user ...
  • Mearka - Architecting and evaluation of a Sports Video Tagging Software Toolkit 

    Torkelsen, Alexander (Mastergradsoppgave; Master thesis, 2023-06-01)
    In the past decade, substantial advancements have been achieved in effectively utilizing video surveillance and associated analysis technologies within the realm of sports. This progress has been particularly noteworthy in elite sports, where the exploitation of athletes’ digital footprints for sports analytics has emerged as a catalytic factor, ushering in a paradigm shift in comprehending and ...
  • Improving automated underwater ship hull inspection through incremental learning & uncertainty quantification in deep learning models 

    Riise, Elias Estefano Gutierrez (Mastergradsoppgave; Master thesis, 2023-06-01)
    Rapid technological progress has recently eliminated the necessity of physically deploying humans for manual underwater ship inspections. Instead, Remotely Operated Vehicles (ROVs) can now capture and record videos, which humans can subsequently review. By leveraging annotated data, it becomes possible to train deep learning models to assist in data exploration. Nevertheless, the process of manually ...
  • DeepRoom: A Deep Learning Rating System for Photography 

    Lintvedt, Victoria Kumetz Lillegård (Mastergradsoppgave; Master thesis, 2023-06-01)
    This thesis explores integrating deep learning techniques into photography, aiming to automate the identification of good images within large datasets. The primary focus is developing a deep learning-based system called DeepRoom that rates and evaluates photographs based on photography-specific technical criteria. To accomplish this, the research methodology encompasses qualitative research alongside ...
  • Product Tracing in the Norwegian Fishing Industry Supply Chain Utilizing GoQuorum Blockchain and Smart Contracts 

    Godtliebsen, Erik (Mastergradsoppgave; Master thesis, 2023-05-31)
    The Norwegian fishing industry faces a significant issue of fishery crimes, with product traceability systems presenting a potential solution to counter these illegal activities. Current supply chain management in the seafood industry is vulnerable to information alterations, thereby complicating product traceability. Blockchain technology, with its unique properties, offers an interesting approach ...
  • BacklinkDB: A Purpose-Built Backlink Database Management System 

    Jørgensen, Marius Løvold (Master thesis; Mastergradsoppgave, 2023-02-15)
    In order to compile a list of all the backlinks for a given webpage, we need knowledge about all the outgoing links on the web. Traversing the web and storing all the backlink data in a database allows us to efficiently retrieve the list of backlinks for a web page on demand. However, the web consists of billions of backlinks which translates to terabytes of data. As the web is continuously evolving, ...
  • Non-Opportunistic Data Transfer for IoT and Cyber-Physical Systems with Mostly Sleeping Nodes 

    Hellemo, Isak Østrem (Mastergradsoppgave; Master thesis, 2022-07-12)
    Sensor networks are frequently used to monitor our environment. From monitoring the habitat of seabirds [1], to the structural integrity of bridges [2]. They can also be used to monitor the arctic tundra to help us monitor climate change. The arctic tundra does however place additional requirements on a monitoring system. Low access to energy sources, human intervention, and networks to transfer ...

Vis mer