With more and more people getting older and needing extra medical attention, robots may be a way of helping them live independently at home longer. Robots in the home, however, can gather lots of personal information about ...

Background There is a need for validated clinical risk scores to identify patients at risk of severe disease and to guide decision-making during the covid-19 pandemic. The National Early Warning Score 2 (NEWS2) is widely ...

Design thinking has recently emerged as a powerful approach to innovation. Its ability to transform products, services, and organizations has been broadly discussed in the literature. However, how to implement the approach ...

Background Graph-based reference genomes have become popular as they allow read mapping and follow-up analyses in settings where the exact haplotypes underlying a high-throughput sequencing experiment are ...

In today’s hypercompetitive market, companies are forced to be creative and innovate in order to survive. Digital technology has brought new possibilities for organisations as well as enabled thousands of start-ups to enter ...

The structure and performance of neural networks are intimately connected, and by use of evolutionary algorithms, neural network structures optimally adapted to a given task can be explored. Guiding such neuroevolution ...

Nettsteder blir en stadig viktigere forretningskanal for kommersielle selskap, og antall nettbrukere er sterkt økende. Med denne bakgrunnen har jeg undersøkt to problemstillinger: Hvilke krav bør stilles til IT-styringen ...

Sixty years have passed since neurosurgeon Nils Lundberg presented his thesis about intracranial pressure (ICP) monitoring, which represents a milestone for its clinical introduction. Monitoring of ICP has since become a ...

Background Targeted client communication (TCC) using text messages can inform, motivate and remind pregnant and postpartum women of timely utilization of care. The mixed results of the effectiveness of TCC interventions ...

Background Advances in whole genome sequencing strategies have provided the opportunity for genomic and comparative genomic analysis of a vast variety of organisms. The analysis results are highly dependent on the quality ...

With the advent of high-density multi-electrode arrays we are now able to measure the activity of hundreds of neurons simultaneously, even at the sub-cellular level. However, next-generation devices introduce novel grand ...

This paper addresses the cross-use of different Digi-tal Learning Environments (DLE) in Higher Education (HE). The paper aims to analyze DLEs and their use in a HE organi-zational entity through the lens of Common Information ...

This study illustrates the independent living elderly’s (≥65 years) views on robots. The data was documented through audio recordings of interviews, photos, and written logs. The analysis was done through qualitative ...

We have previously proposed a security classification methodology for IoT systems and have applied it to the smart grid and smart home domain. This method departs from classical risk analysis and certification methods in ...

The cholesterol-sensing nuclear receptor liver X receptor (LXR) and the glucose-sensing transcription factor carbohydrate responsive element-binding protein (ChREBP) are central players in regulating glucose and lipid ...

Accurate knowledge of the seabed is of vital importance for many human endeavors. Applications range from safe navigation to climate change models. Swath sonars are a key tool for efficient and high-resolution mapping of ...

Autoantibodies to transglutaminase 2 (TG2) are hallmarks of celiac disease. To address B cell tolerance and autoantibody formation to TG2, we generated immunoglobulin knock-in (Ig KI) mice that express a prototypical celiac ...

Vi står nå overfor et effektproblem bestående av høyt strømforbruk i visse tider av døgnet blant forbrukerne, som krever utbygging av strømnettet som på alle andre tidspunkt vil være overflødig. Lite vet forbrukerne om at ...

På grunn av bekymringer over hvorfor så mange studenter som dropper ut i løpet av et semester, lurer mange i de siste årene på hvordan dette fenomenet har oppstått. Vi på Institutt for informatikk (IFI) lurer på hva årsaken ...

Vi står nå overfor et effektproblem bestående av høyt strømforbruk i visse tider av døgnet blant forbrukerne, som krever utbygging av strømnettet som på alle andre tidspunkt vil være overflødig. Lite vet forbrukerne om at ...

In this work, we tackled the task of identifying sentiment bearing sentences for product reviews in Norwegian. We have created a set of automatically labeled datasets that classify sentences in terms of how relevant they ...

Information and communication technologies, such as remote health monitoring and mobile Internet, have played a key role on a major improvement on patients’ lives. The problem is that patient monitoring requires higher ...

The Norwegian language is under-resourced for various Natural Language Processing tasks, including the task of sentiment analysis. However, recent publications of sentiment analysis datasets such as the Norwegian Review ...

More compliant robots have certain benefits when coming to cooperating with humans. Standard industrial robots today require many safety measurements to be legal and safe to operate. Soft robots can therefor be safer, have ...

This thesis explores preschool children’s interaction with a conversational agent (CA), and we position this work within the field of Human-Computer Interaction (HCI). Through a preliminary case study, we explored children ...

Autonomous manufacturing and assembly requires precise estimation of pose (position and orientation) of the object to be handled. If geometric information of the object is available, such as a CAD file, these estimates can ...

Teaching machines to learn patterns in data is very common these days, and it has a broad spectrum of applications everywhere. Sensors like smart-watches are getting more functionality each year, and more and more people ...

While semantic technologies and the use of ontologies is one of the proposed solutions to the heterogeneity problem in database systems, the independent generation of ontologies leaves us with another heterogeneity problem. ...

Denne masteroppgaven beskriver en case studie om plan- og prosedyreverktøyet e-Plan til bruk for å strukturere hverdagen til mennesker som har diagnosen psykisk utviklingshemming. Gjennom intervjuer og observasjoner med ...

This thesis presents challenges and necessary requirements for simulating shared photovoltaic (PV) energy production and appliance consumption scheduling in urban apartment buildings. Such simulations are useful as a tool ...

Passive fingerprinting with a Deep Learning approach. The approach is compared to three well established machine learning algorithms; SVM, KNN and Random Forest. A never before used value for fingerprinting, the TCP ...

Modern large-scale software systems are highly configurable. Thus, they require a large number of test cases to be implemented and revised for testing a variety of system configurations. This makes software testing of ...

Population growth and climate change pose a real threat to food security. In addition, current food production practices have created a huge ecological footprint. In spite of this, food production has to increase globally. ...

Nowadays, cloud computing is one of the most important topics in computing technology. With the ever-growing demands for a variety of services in cloud infrastructure, providing fast and affordable computing resources to ...

How can older adults actively participate in the design processes of assistive robots designed for their homes? We have organized workshops with a group of older adults who worked actively with materials and physical ...

Gamification is a term for adding game design elements into a non-game context. Using motivational theory and gamification theory this thesis explores how adding game elements to an educational learning tool affects students ...

Learning about the periodic table of elements can be a challenge for second grade students. The amount of theoretical information, combined with abstract scientific concepts, makes it difficult for students’ meaning-making. ...

People are bad at making passwords, resulting in an easily exploitable security vulnerability across the digital landscape. Basing your memorized password on something like your spouse’s name or even your own is inherently ...

This thesis is an exploration of transitions towards a more sustainable fashion industry with a cross-disciplinary project involving Norwegian fashion brand Haik With Us. Together we created a research product that is 10 ...

Denne oppgaven dreier seg om reparasjon av mobiltelefoner som en del av et bærekraftig eierskap, fordi dagens praksis fører med seg store miljøskader. Forskningsspørsmålene jeg ønsker å svare på gjennom oppgaven er: 1. ...

This master’s thesis is an empirical investigation of a Smart City initiative within healthcare in a Norwegian municipality. What is presented is a rich description of how local actors have engaged themselves in the planning, ...

In this thesis, we present a study of English noun–noun compound analysis that takes a holistic perspective on the problem. The holistic nature of our work manifests in three respects. First, of five compound analysis ...

Since the introduction of Electronic Machine-Readable Travel Documents (eMRTDs) the gap in security between eMRTDs and Machine-Readable Travel Documents (MRTDs) has been a cause for concern. In 2016, the International Civil ...

The use of technology to address mental health among youth in Norway is gaining traction, with many measures being implemented from the public sphere. Literature claims that peer-support can help alleviate some of the ...

Empirical studies of information and communication technology (ICT) is often done by researchers who work closely with practitioners. Acquiring a role as an insider researcher gives the researcher performative knowledge ...

This thesis is about the analysis of capacity levels around health information use based on a district-level case study from Nepal. Well capacitated workforce can make better use of Health Information System (HIS) and ...

Data preprocessing is a crucial step in data analysis. For preparing data for analysis, different actions may need to be performed on a given dataset including formatting, modification, extraction and enrichment. Data ...

Ultrasound imaging for medical applications is considered a cost-effective and non-invasive method of studying the internal structures of the body. One application is to study muscles and muscle architecture. Muscle ...

Ontologies are a field within semantic technologies concerned with modeling knowledge of a domain through the use of well-defined concepts and relationships. Cyber threat intelligence (CTI) is a field within the domain of ...

In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field of ...

The Internet of Things is rising in popularity across many different domains, such as build automation, healthcare, electrical smart metering and physical security. Many prominent IT experts and companies like Gartner ...

I denne oppgaven studerte jeg en bedrift som hadde gjennomført et innføringsprogram (onboarding) der portugisiske utviklere skulle innlemmes i to eksisterende norske team. Det blir bare vanligere og vanligere innenfor ...

Equality is a fundamental concept in first-order reasoning, yet for connection based proof methods a notoriously challenging one to handle efficiently. While paramodulation is a popular technique for resolution and related ...

Monoplant is a prototype of an educational construction kit that provides teachers and secondary school students with hands-on experience on plant biology. We present the design rationale of Monoplant and report on its ...

The Norwegian Welfare Administration (NAV) annually posts a large dataset of job announcements. Each announcement is classified with an occupation code, and today NAV performs this classification of announcements manually ...

With all the data available today the need to label and categorise data is more important than ever. There are many machine learning and deep learning models well equipped to classify data. However, to find the best model ...

The complexity of the nervous system has made computational science an invaluable tool in order to understand how the nervous system functions. The overarching goal of this thesis has been to develop software tools to ...

A rich case study on the process of implementing generic software in the public health sector in India, which seeks to address the following research question: What constitutes the implementation-level design of generic ...

The Unified Parallel C (UPC) programming language offers parallelism via logically partitioned shared memory, which typically spans physically disjoint memory subsystems. One convenient feature of UPC is its ability to ...

Teknologiske framsteg har gjort det mulig å innhente store mengder medisinske bildedata, men manuell analyse av slike data tar stadig tid og er et hinder for effektiv behandling av store datamengder. Etter hvert som ...

This thesis explores strength exercising and learning of bodily skills as a field that can be augmented through introducing digital sensory artefacts, that aim to alter the way the performance is perceived. Using feedback ...

Medical ultrasound (US) imaging is a non-invasive imaging modality. Smaller and cheaper US systems make US imaging available to more people, leading to a democratization of medical US imaging. The improvements of general ...

This paper is about creating digital musical instruments where a predictive neural network model is integrated into the interactive system. Rather than predicting symbolic music (e.g., MIDI notes), we suggest that predicting ...

The digitization of newspapers has opened up new possibilities for user involvement, yet established practices in the media industry hinder news organisations from fully exploiting the many new opportunities that exist in ...

This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from ...

With new technological advancements in various fields such as AI, renewable energy, automation, material research and 3D printing among others, enabling new designs of hardware that were previously unfeasible, complementing ...

In traditional networks, a dedicated piece of hardware is configured and installed for every single network function. A network function represents any hardware appliance in the network that has network-level functionality, ...

The latest technical and interaction advancements within the virtual reality (VR) field have marked a new era, not only for VR, but also for VR locomotion. In this era, well-established, prevalent VR locomotion techniques ...