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 ...

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 ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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 ...

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 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 ...

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 ...

Gene expression profiling has increasing relevance in the molecular screening of patients with colorectal cancer (CRC). We investigated potential platform-specific effects on transcriptomic subtyping according to established ...

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 ...

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, ...

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 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 ...

The drum-like virtual reality (VR) keyboard is a contemporary, controller-based interface for text input in VR that uses a drum set metaphor. The controllers are used as sticks which, through downward movements, “press” ...

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 ...

Background: Stroke and coronary heart disease share the same risk factors, and a multifactorial intervention after stroke may potentially result in the same reduction in cardiovascular mortality as seen after coronary ...

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 ...

This thesis presents findings on how to facilitate a design process with people with Intellectual Disabilities (ID), utilizing already existing practices, and proxies’ knowledge in facilitating the inclusion of people with ...

Collaborative robots are becoming more common on factory floors as well as regular environments, however, their safety still is not a fully solved issue. Collision detection does not always perform as expected and collision ...

If robots are to become ubiquitous, they will need to be able to adapt to complex and dynamic environments. Robots that can adapt their bodies while deployed might be flexible and robust enough to meet this challenge. ...

Existing named entity recognition (NER) systems rely on large amounts of human-labeled data for supervision. However, obtaining large-scale annotated data is challenging particularly in specific domains like health-care, ...

Managing dependencies between teams and within teams is critical when running large-scale agile projects. In large-scale software development, work is carried out simultaneously by many developers and development teams. ...

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 ...

Software testing is an integral part of software development that provides better-quality products and user experiences and helps build the reputation of software companies. Though software testers perform a role that ...

One of the hallmarks of cancer is sustained angiogenesis. Favorable results have been reported in some breast cancer (BC) patients receiving antiangiogenic therapy with bevacizumab (Bev) in combination with chemotherapy, ...

This paper explores the use of multi-task learning (MTL) for incorporating external knowledge in neural models. Specifically, we show how MTL can enable a BiLSTM sentiment classifier to incorporate information from sentiment ...

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 ...

This thesis focuses on studying characteristics of Norwegian passwords as a means to find the best way of attacking them. This was done by using a password-cracking tool to attack offline copies of several password data ...

Background: Software development are a collaborative process where people from mul- tiple different practices are involved. It has become more and more common to structure people as teams focusing on producing a specific ...

Pituitary endocrine cells fire action potentials (APs) to regulate their cytosolic Ca2+ concentration and hormone secretion rate. Depending on animal species, cell type, and biological conditions, pituitary APs are generated ...

The adaptive immune system is a natural defense mechanism that is able to detect and neutralize pathogens. The key molecules involved in this are the immune receptors expressed by B and T cells, collectively named immune ...

Accessibility has become an important focus in software development; the goal is to allow as many people as possible, regardless of their capabilities, to use software. We have investigated the methods that software teams ...

Deep learning based systems are on the rise as they have shown tremendous potential to extract concealed patterns through the data. Today Deep learning systems are surpassing human-level vision capabilities, which leads ...

Interferometric synthetic aperture sonar (InSAS) produce bathymetric maps with large amounts of data. This introduces challenges in how the data should be stored and represented. The bathymetric maps are in raster format ...

This thesis presents the first results for the Automated Essay Scoring (AES) task on the ASK corpus of Norwegian learner language. It explores a wide variety of classifier architectures, including linear models, simple ...

In this article, we examine work with communal data in the context of clinical genetic testing. Drawing from prior research on digital research infrastructures and from the analysis of our empirical data on genetic testing, ...

Generating convincing music via deep neural networks is a challenging problem that shows promise for many applications including interactive musical creation. One part of this challenge is the problem of generating convincing ...

Composing and playing music generally requires knowledge of music theory and exercise in instrument training. While traditional musical instruments often require years of arduous practice to master, intelligent musical ...

Virtual Machine (VM) consolidation in the cloud has received huge research interest over the recent years. Usually, the consolidation strategies are variants of the bin packing problem, which aims to minimize the numbers ...

The main aim of the thesis is to use low-cost hardware components to create an environment-aware robot arm system capable of analysing its workspace using vision sensors and ensure collision-free operation. The objective ...

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 ...

DDoS and DoS attacks have been growing in size and number over the last decade. Existing solutions employed to mitigate these attacks have proven to be inefficient in combating the problem. Compared to other types of malicious ...

This master project presents research on the subject of indoor localization systems intended for the localization of humans. Based on this research, a system is proposed and implemented. The system is based on wireless ...

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 paper describes the development of a parallel simulator of a multicore memory system from a model formalized as a structural operational semantics (SOS). Our implementation uses the Abstract Behavioral Specification ...

The impact of the tumor immune microenvironment on overall survival in non‐small cell lung cancer (NSCLC) has been studied, but there is little information on its relevance for risk of relapse after surgery. Understanding ...

Breakdown-oriented thinking: On accommodating for repair, attachment and longevity through design

A fair amount of research on smart home functions has aimed at assisting older adults in their everyday life. The implementation of these functions relies on the performance of activity recognition and prediction algorithms. ...

Smart technologies take different, constantly changing, and complex forms – from personal objects we act and perceive with to environments and infrastructures within which everyday practices and experiences take shape. As ...

Combining HLA-DQ–gluten tetramers with mass cytometry and RNA sequencing analysis, we find that gluten-specific CD4+ T cells in the blood and intestines of patients with celiac disease display a surprisingly rare phenotype. ...

This paper describes a new intelligent interactive instrument, based on an embedded computing platform, where deep neural networks are applied to interactive music generation. Even though using neural networks for music ...

Prevention enthusiasts show great optimism about the potential of health apps to modify peoples’ lifestyles through the tracking and quantification of behaviours and bodily signs. Critical sociologists warn for the ...

Sentiment analysis benefits from large, hand-annotated resources in order to train and test machine learning models, which are often data hungry. While some languages, e.g., English, have a vast arrayof these resources, ...

In recent years, researchers have explored human body posture and motion to control robots in more natural ways. These interfaces require the ability to track the body movements of the user in three dimensions. Deploying ...

This thesis investigates the social and technical complexity during the implementation of collaborative ICT innovation in the health sector and how these complexities are dealt with in practice. To this end, I conducted ...