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norskInstitutt for informatikk: Recent submissions
Now showing items 201-220 of 640
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Improving audio training for Cochlear Implant users
(Mastergradsoppgave; Master thesis, 2022-05-15)A Cochlear Implant(CI) is an implant that replaces the functionality of the inner ear with an electronic prosthesis. The prosthesis stimulates the auditory nerves within the cochlea so that people with auditory disabilities regain hearing. While the medical process of inserting the implant is relatively straightforward, learning how to use the implant may be difficult. This thesis proposes a ... -
Management of large geospatial datasets
(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 ... -
Budget-aware scheduling algorithm for scientific workflow applications across multiple clouds. A Mathematical Optimization-Based Approach
(Master thesis; Mastergradsoppgave, 2022-05-16)Scientific workflows have become a prevailing means of achieving significant scientific advances at an ever-increasing rate. Scheduling mechanisms and approaches are vital to automating these large-scale scientific workflows efficiently. On the other hand, with the advent of cloud computing and its easier availability and lower cost of use, more attention has been paid to the execution and scheduling ... -
Building a Neighborhood Resource Map for IoT and Cyber-Physical systems in Resource-Constrained Environments
(Master thesis; Mastergradsoppgave, 2022-05-12)Creating and maintaining a shared resource map between observation nodes that have a behavior where they are mostly sleeping, and have a wake up schedule that are determined at each node locally is challenging. This thesis looks at these challenges, and possible solutions have been proposed to overcome them. Previous research on the topic of constrained IoT networks have looked at the network, ... -
Continious Synchronization of Conflict-Free Replicated Relations
(Master thesis; Mastergradsoppgave, 2022-05-12)Local-first software is an attempt to use the benefits of cloud service while reducing its drawbacks. Local-first software gives the clients ownership and control of their data and makes the service always available. It is achieved by having the primary copy of the service at the client. The most common way to implement local-first software is by utilizing Conflict-free Replicated Datatypes or CRDTs, ... -
Gurret: Decentralized data management using subscription-based file attribute propagation
(Master thesis; Mastergradsoppgave, 2022-05-13)Research institutions and funding agencies are increasingly adopting open-data science, where data is freely available or available under some data sharing policy. In addition to making publication efforts easier, open data science also promotes collaborative work using data from various sources around the world. While the research datasets are often static and immutable, the metadata of a file ... -
Virtual Power Plants and Integrated Energy System: Current Status and Future Prospects
(Chapter; Bokkapittel, 2022)The power system is undergoing a digitalization, decarbonization, and decentralization. Economic incentives along with resiliency and reliability concerns are partly driving the transition. In the process of decentralization, local energy markets are forming at various places. A virtual power plant (VPP) is a by-product of this digitalization capitalizing on the opportunity to further promote renewable ... -
Personalized Nudges with Edge Computing
(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 ... -
Investigating the latency cost of statistical learning of a Gaussian mixture simulating on a convolutional density network with adaptive batch size technique for background modeling
(Master thesis; Mastergradsoppgave, 2021-05-31)Background modeling is a promising field of study in video analysis, with a wide range of applications in video surveillance. Deep neural networks have proliferated in recent years as a result of effective learning-based approaches to motion analysis. However, these strategies only provide a partial description of the observed scenes' insufficient properties since they use a single-valued mapping ... -
Polar Vantage and Oura Physical Activity and Sleep Trackers: Validation and Comparison Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-05-27)Background: Consumer-based activity trackers are increasingly used in research, as they have the potential to promote increased physical activity and can be used for estimating physical activity among participants. However, the accuracy of newer consumer-based devices is mostly unknown, and validation studies are needed.<p> <p>Objective: The objective of this study was to compare the Polar Vantage ... -
Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies [version 1; peer review: 2 approved with reservations]
(Journal article; Tidsskriftartikkel; Peer reviewed, 2015-03-30)Kvik is an open-source system that we developed for explorative analysis of functional genomics data from large epidemiological studies. Creating such studies requires a significant amount of time and resources. It is therefore usual to reuse the data from one study for several research projects. Often each project requires implementing new analysis code, integration with specific knowledge bases, ... -
Information and communication technology-based interventions for chronic diseases consultation: Scoping review
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-29)Background: Medical consultations are often critical meetings between patients and health personnel to provide treatment, health-management advice, and exchange of information, especially for people living with chronic diseases. The adoption of patient-operated Information and Communication Technologies (ICTs) allows the patients to actively participate in their consultation and treatment. The ... -
On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-09)The transaction-rate bottleneck built into popular proof-of-work-based cryptocurrencies, like Bitcoin and Ethereum, leads to fee markets where transactions are included according to a first-price auction for block space. Many attempts have been made to adjust and predict the fee volatility, but even well-formed transactions sometimes experience unexpected delays and evictions unless a substantial ... -
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-28)Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and roboticassisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have been proposed in the literature, key limitations remain to be addressed: Firstly, robustness, that is, the reliable performance of state-of-the-art methods ... -
A Health-Energy Nexus Perspective for Virtual Power Plants: Power Systems Resiliency and Pandemic Uncertainty Challenges
(Chapter; Bokkapittel, 2022-01-01)This chapter introduces and discusses a novel “health-energy nexus under pandemic uncertainty” concept that arises as a consequence of the current pandemic that we are experiencing worldwide. In light of the pandemic implications on the power and energy systems, we discuss how the global health conditions are tightly connected with the energy consumption needs and how the two areas closely interact ... -
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-12)Widely used traditional supervised deep learning methods require a large number of training samples but often fail to generalize on unseen datasets. Therefore, a more general application of any trained model is quite limited for medical imaging for clinical practice. Using separately trained models for each unique lesion category or a unique patient population will require sufficiently large curated ... -
Aika: A Distributed Edge System For Machine Learning Inference. Detecting and defending against abnormal behavior in untrusted edge environments
(Master thesis; Mastergradsoppgave, 2021-12-14)The edge computing paradigm has recently started to gain a lot of momentum. The field of Artificial Intelligence (AI) has also grown in recent years, and there is currently ongoing research that investigates how AI can be applied to numerous of different fields. This includes the edge computing domain. In Norway, there is currently ongoing research being conducted that investigates how the confluence ... -
Dataset of Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-01)Physical activity (PA) data were downloaded from 113 participants who owned a Garmin or Fitbit activity tracker in 2019 and 2020. Upon participant authorization, data were automatically downloaded from the Garmin and Fitbit cloud storages. The mSpider tool, a solution for automatic and continuous data extraction from activity tracker providers, were used to download participant data. Available ... -
The variability of physical match demands in elite women's football
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-21)Peak locomotor demands are considered as key metrics for conditioning drills prescription and training monitoring. However, research in female football has focused on absolute values when reporting match demands, leading to sparse information being provided regarding the degrees of variability of such metrics. Thus, the aims of this study were to investigate the sources of variability of match ... -
Inverse and efficiency of heat transfer convex fin with multiple nonlinearities
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-22)In this article, we first propose the novel semi-analytical technique—modified Adomian decomposition method (MADM)—for a closed-form solution of the nonlinear heat transfer equation of convex profile with singularity where all thermal parameters are functions of temperature. The longitudinal convex fin is subjected to different boiling regimes, which are defined by particular values of n (power ...
