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 ...

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 ...

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 ...

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 ...

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 ...

The rapid increase in the number of processors demands quicker and more reliant data availability to avoid extensive memory accesses. Caches hierarchies are most important in an efficient n-core system. However, more ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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. ...

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, ...

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 ...

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 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 ...

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 ...

Denne oppgaven beskriver en deltakende designprosess hvor målet har vært å undersøke hvordan kommunikasjon gjennom NAVs nettsider kan designes for og med sårbare brukere. NAV holder i dag på å digitalisere de fleste av ...

This paper reports from the early phase of a Participatory Design (PD) process where the goal is to design technology that involves people with Intellectual Disabilities (ID) and their caretakers as participants. The ...

Recently, personal privacy has increasingly started coming to people's attention, as we are digitally more connected to each other. The development of new mobile products connected to the Internet are starting to take a ...

A blockchain is a distributed ledger comprised of practically unchange- able, digital recorded data in packages called blocks. Each block in the chain contains data and is cryptographically hashed. The blocks of hashed ...

Named Data Networking (NDN) has built in congestion mechanisms, both in end-node applications and in the forwarding strategy in intermediate nodes. End-nodes may adjust sending rate. Intermediate nodes will rank each face ...

Managing requirements are an integral part in any type of software development. In generic open source software projects, this process is increasingly difficult. Designing generic requirements and balancing the needs of ...

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 ...

Denne masteroppgaven er en fortolkende studie av digitale læringsmiljøer i høyere utdanning. Studien er en del av det pedagogiske kvalitative prosjektet UDFeed. Studien fulgte et emne ved Institutt for Informatikk ved ...

This thesis describes the design of a domain map prototype, which serves as a means of tackling wicked problems from the perspective of knowledge federation. This is to cre-ate a new way of problem-solving in a time of ...

In the search for new technologies to assist the fish industry in the fight against diseases, computer vision is playing an essential role. The ability to automatically detect and inspect fish through a camera lens opens ...

The school health service is an important service working with health preventive measures for youth. However, challenges exist, for example in terms of resources. Chatbots represent new opportunities for strengthening the ...

In this thesis, swarm airports are introduced as a way of obtaining continuous operation in an autonomous drone swarm. An airport acts as a service station where the drones can replenish their energy autonomously. When ...

Precise wind power output predictions is of great importance for a successful integration of wind power into the power grid and market operations. A popular approach to short-term wind power prediction is to use machine ...

The user experience of smartphones heavily rely upon functional internet connectivity, but, even though smartphones have multiple network links for accessing the internet, they are rarely able to utilize more than one link ...

This thesis examines the use of neural network methods for classifying parliamentary speeches by textual content. It introduces previous work in the field using traditional methods, and discusses aspects of the Talk of ...

Algorithm-based, automated solutions allow designers and engineers to support the tasks of human operators, or transfer parts of their work to a system. However, pushing the limits of automation might make the tasks left ...

Background We previously reported that in pathogenic mismatch repair (path_MMR) variant carriers, the incidence of colorectal cancer (CRC) was not reduced when colonoscopy was undertaken more frequently ...

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 ...

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 ...

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 ...

We study evolutionary robot systems where not only the robot brains but also the robot bodies are evolvable. Such systems need to include a learning period right after ‘birth’ to acquire a controller that fits the newly ...

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 ...

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 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 ...

General purpose operating systems are widely in use for running many different applications on a big selection of hardware. Such an operating system must be quite complete in order to provide virtual memory, scheduling, ...

The formal evaluation of new interfaces for musical expression (NIMEs) in their use by ensembles of musicians is a challenging problem in human-computer interaction (HCI). NIMEs are designed to support creative expressions ...

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 ...

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. ...

Background Recent epidemiological evidence shows that colorectal cancer (CRC) continues to occur in carriers of pathogenic mismatch repair (path_MMR) variants despite frequent colonoscopy surveillance in ...

Background Information technology has transformed the way healthcare is conducted. There is a deluge of patient data dispersed in different systems that are commonly not interoperable. As a result, access ...

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 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 ...

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 ...

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 ...