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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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, ...

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. ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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, ...

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 ...

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 ...

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 ...

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. ...

The fast development of drones, miniaturization of broadband solid-state amplifiers, mixers, and software defined digital hardware increase the demand for compact RF and microwave systems at lower cost, light weight, easy ...

Activation of endoplasmic reticulum (ER) stress/the unfolded protein response (UPR) has been linked to cancer, but the molecular mechanisms are poorly understood and there is a paucity of reagents to translate this for ...

Existing consumer VR systems support text input using handheld controllers in combination with virtual keyboards and many designers have attempted to build on these widely used techniques. However, information on current ...

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. ...

Earlier studies have reported that there is a huge gap between customers and service providers in terms of the perceived quality of the service experience. This research addresses the delivery gap between service providers ...

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 ...

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 ...

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, ...

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 ...

Patients who have suffered a myocardial infarction have an elevated risk of developing arrhythmia. The use of in silico experiments of the electrical activity in the hearts of these patients, is emerging as an alternative ...

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 ...

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 ...

The growth of compute-intensive applications causes an increasing demand for computing resources in both data centers and underlying networks. To satisfy these computing and networking demands, hardware-accelerated computing ...

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 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 ...

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 ...

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, ...

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 ...

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 ...

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 ...

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 ...

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 ...