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Now showing items 4598-4617 of 4765
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User Expectations and Willingness to Share Self-Collected Health Data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e. for public health. A challenge with collecting this data is to motivate people to share this data for the benefit of all. The purpose of this study is ... -
User Expectations and Willingness to Share Self-collected Health Data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e. for public health. A challenge with collecting this data is to motivate people to share this data for the benefit of all. The purpose of this study is ... -
User Profiles Inferred from Smartphone Sensor/Context Data. How Features and Attributes Contribute to a Smart Nudge System
(Master thesis; Mastergradsoppgave, 2021-06-01)Oppgaven undersøker hvordan brukerprofiler funnet fra smartphone sensor/context data can bli bruk i et smart nudge system. Relevant forskning som omhandler bruker profilering fra smartphone sensor/context data blir beskrevet og brukt som argument for å lage et smart design basert på brukerprofiler funnet fra smartphone sensor/context data. Et system er implementert hvor bruker profiler blir funnet ... -
User profiling for diverse user contexts
(Master thesis; Mastergradsoppgave, 2015-05-14)The amount of content available for consumption online is increasing tremendously. This make the job of recommender systems more important, and at the same time, more demanding. Context-aware recommender systems might be a solution to this problem. This work set out to discover user contexts dynamically by collecting contextual information from user actions and perform cluster analysis on the ... -
User Satisfaction in Augmented Reality-Based Training Using Microsoft HoloLens
(Journal article; Peer reviewed, 2019-01-25)<p>With the recent developments in augmented reality (AR) technologies comes an increased interest in the use of smart glasses for hands-on training. Whether this interest is turned into market success depends at the least on whether the interaction with smart AR glasses satisfies users, an aspect of AR use that so far has received little attention. <p>With this contribution, we seek to change ... -
User-Aware Conflict Resolution
(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 ... -
User-Based Information Search across Multiple Social Media
(Master thesis; Mastergradsoppgave, 2015-05-31)Most of todays Internet users are registered to one or more social media applications. As so many are registered to multiple application, it has become difficult to locate friends, former colleagues, peers and acquaintances. Reasons for this include private profiles, name collisions, multiple usernames, lack of profile attributes and profile picture. The system designed and implemented in this ... -
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06)Developing systems for the automatic detection of events in video is a task which has gained attention in many areas including sports. More specifically, event detection for soccer videos has been studied widely in the literature. However, there are still a number of shortcomings in the state-of-the-art such as high latency, making it challenging to operate at the live edge. In this paper, we present ... -
Using a large open clinical corpus for improved ICD-10 diagnosis coding
(Journal article; Tidsskriftartikkel, 2023)With the recent advances in natural language processing and deep learning, the development of tools that can assist medical coders in ICD-10 diagnosis coding and increase their efficiency in coding discharges ummaries is significantly more viable than before. To that end, one important component in the development of these models is the datasets used to train them. In this study, such datasets are ... -
Using a virtual event space to understand parallel application communication behavior
(Research report; Forskningsrapport, 2003)We have developed EventSpace, a configurable data collecting, management and observation system for monitoring low-level synchronization and communication events with the purpose of understanding the behavior of parallel applications on clusters and multi-clusters. Applications are instrumented by adding data collecting code in the form of event collectors to an applications communication paths. ... -
Using a waiting protocol to separate concerns in the mutual exclusion problem
(Research report; Forskningsrapport, 2003-11-21)How to implement process synchronization in a general-purpose software library while incurring a minimum of policy decisions on the system as a whole? We propose that in dealing with the problem of mutual exclusion in concurrent systems, a separation of concerns between the mechanism of detecting contention and the policy decision of what to do when such contention is detected is appropriate. We ... -
Using anchors from free text in electronic health records to diagnose postoperative delirium
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-09-19)Objectives:<br> Postoperative delirium is a common complication after major surgery among the elderly. Despite its potentially serious consequences, the complication often goes undetected and undiagnosed. In order to provide diagnosis support one could potentially exploit the information hidden in free text documents from electronic health records usin ... -
Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-03-22)Background: New fitness trackers and smartwatches are released to the consumer market every year. These devices are equipped with different sensors, algorithms, and accompanying mobile apps. With recent advances in mobile sensor technology, privately collected physical activity data can be used as an addition to existing methods for health data collection in research. Furthermore, data collected ... -
Using FullFlow to manage the overwhelming flood of patients’ self-collected health data: A system that addresses acceptance barriers regarding the introduction of diabetes patients’ self-collected health data into electronic health records and medical consultations
(Doctoral thesis; Doktorgradsavhandling, 2020-03-31)Patients increasingly collect lifestyle and health-related data thanks to the explosion of sensors and healthcare applications. Multiple studies have shown that this data can be useful during consultations, resulting in more customised medical services. Moreover, this data permits clinicians to gain an overview of the patients’ conditions and enables patients to gain knowledge about the consequences ... -
Using machine learning to provide automatic image annotation for wildlife camera traps in the Arctic
(Chapter; Bokkapittel, 2017)The arctic tundra is considered the terrestrial biome expected to be most impacted by climate change, with temperatures projected to increase as much as 10 °C by the turn of the century. The Climate-ecological Observatory for Arctic Tundra (COAT) project monitors the climate and ecosystems using several sensor types. We report on results from projects that automate image annotations from two of the ... -
Using radar beam-parks to characterize the Kosmos-1408 fragmentation event
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-22)We describe the use of radar beam-park experiments to characterize the space debris resulting from a recent fragmentation event, the deliberate demolition of the defunct Kosmos-1408 satellite. We identify the Kosmos-1408 fragments and present distribution of measurement parameters as well as proxy orbit parameters. We present and apply a novel technique to estimate the size of objects by matching ... -
Using satellite execution to reduce latency for mobile/cloud applications
(Peer reviewed; Journal article; Tidsskriftsartikkel, 2016-02-03)We demonstrate a practical way to reduce latency for mobile .NET applications that interact with cloud services, without disrupting application architectures. We provide a programming abstraction for location-independent code, which has the potential to execute either locally or at a satellite execution environment in the cloud, where other cloud services can be accessed with low latency. This ... -
Using Silver Nano-Particle Ink in Electrode Fabrication of High Frequency Copolymer Ultrasonic Transducers: Modeling and Experimental Investigation
(Journal article; Tidsskriftartikkel; Peer reviewed, 2015-04-20)High frequency polymer-based ultrasonic transducers are produced with electrodes thicknesses typical for printed electrodes obtained from silver (Ag) nano-particle inks. An analytical three-port network is used to study the acoustic effects imposed by a thick electrode in a typical layered transducer configuration. Results from the network model are compared to experimental findings for the implemented ... -
Using thermal UAV imagery to model distributed debris thicknesses and sub-debris melt rates on debris-covered glaciers
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-14)Supraglacial debris cover regulates the melt rates of many glaciers in mountainous regions around the world, thereby modifying the availability and quality of downstream water resources. However, the influence of supraglacial debris is often poorly represented within glaciological models, due to the absence of a technique to provide high-precision, spatially continuous measurements of debris thickness. ... -
Ut på tur, aldri sur(r)! - Når turopplevelser blir en del av å beskrive grafer
(Master thesis; Mastergradsoppgave, 2019-05-29)Denne masteroppgaven er et multiple case-studie av elever fra to 10.klasser. Formålet med studien er å undersøke om elevene uttrykker autonomi i undervisningstimene der de arbeider med et undersøkende undervisningsopplegg. Bakgrunnen for valg av problemstilling er det nye læreplanverket som trer i kraft i 2020, der tilrettelegging for dybdelæring står i fokus. Oppgaven presenterer både matematisk ...
