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 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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, ...

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 ...

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 ...

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. ...

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 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

While coordination is assumed to contribute to distributed self-managing work team performance, our knowledge about the factors influencing coordination in such team settings is limited. In the present study, we investigate ...

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 ...

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 ...

With the rise of packages sent to customers and online shopping becoming more popular, the user experience of package tracking is becoming more important. This thesis addresses the lack of theory in Service Design, and ...

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 ...

Mobile robots operating in seniors' homes can serve as social companions and assist with daily tasks, thus enhancing the seniors' quality of life. In order for robots to assist seniors, it is crucial that they are equipped ...

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 ...

Medical ultrasound is a non-invasive low-cost image modality used in diagnostic applications. It has become the preferred modality in cardiology. Motion estimation techniques may be applied to the echocardiographic images ...

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 project, an image sensor designed to receive modulated light was designed and produced. Earlier, an image sensor consisting of alternating pixel topologies has been produced and tested. However, using a single pixel ...

In recent years, research in machine intelligence has gained increased momentum, where neural network models have made significant contributions in various fields, like image classification and language understanding. ...

Suksesskriterier for fremtidens elektroniske pasientjournal (EPJ) ligger i strukturerte data, delte data, mulighet for kommunikasjon på tvers av helseforetak og pasientens mulighet for involvering i eget sykdombildet. I ...

This paper explores and conceptualises a phenomenon called platformization. The background is that the growing complexity of IT solutions is in many organizations costly and virtually impossible to adapt to changing ...

This work is part of the SUPRE (SUbcutaneous PREssure sensor system) research project with the goal of developing health services for patients with dysfunctional urinary bladders. The NANO group at UiO has previously ...

Single cell RNA-sequencing is an increasingly popular tool for investigating the variability in gene expression between individual cells. Compared to the previously wide spread methods such as bulk RNA-sequencing, the ...

Abstract—Network Utility Maximization (NUM) is a well accepted theoretical concept that describes how congestion controls could cooperate to achieve an ideal sending rate allocation, for given utility functions of senders ...

This thesis addresses the problem of finding a robust test suite for software testing by the use of mutation testing and machine learning. The goal is to find out a test suite that is immune to most of the mutants that can ...

DHIS2 is a web application originally designed for collecting and aggregating statistical health data. DHIS2 is used in 60 different countries, each with its own implementation. In recent years there has been a shift towards ...

Background Cisplatin-based chemotherapy (CBCT) is part of standard treatment of several cancers. In testicular cancer (TC) survivors, an increased risk of developing metabolic syndrome (MetS) is observed. ...

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 ...