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Locally Refined Splines
(Lecture, 2010)The central idea of isogeometric analysis is to replace traditional Finite Elements by NonUniform Rational B-splines (NURBS) to provide accurate shape description and higher order elements in analysis. Since the introduction ... -
Lokal data-assimilering i SIMRA: Korreksjon av vindstyrke og retning ved bruk av flydata
(Research report, 2009)I denne rapporten er det gjennomført systematiske korreksjoner av SIMRA-prediksjoner ved bruk av flydata. Disse korreksjonene er gjort på grunnlag av sammenligninger mellom ukorrigerte simuleringer og flydata i øvre del ... -
Lokale verneombuds rolle i topartssamarbeidet om forebyggende arbeidsmiljø
(Peer reviewed; Journal article, 2022)Intensjonsavtalen om et inkluderende arbeidsliv vektlegger de lokale partenes felles ansvar innen lov- og avtaleverket, for å jobbe forebyggende med arbeidsmiljø- og sykefraværsarbeid i virksomheter. Tidligere forskning ... -
Lokalt snøskredvarsel for Longyearbyen - Evaluering av nåværende system
(SINTEF Rapport;2022:01035, Research report, 2022)Denne rapporten beskriver og evaluerer det nåværende systemet for snøskredvarsel i Longyearbyen. Evalueringen baserer seg på sammenlikning mot regionalt varsel på Svalbard, lokalvarsel i Europa, samt en retningslinje ... -
A longitudinal explanatory case study of coordination in a very large development programme: The impact of transitioning from a first- to a second-generation large-scale agile development method
(Peer reviewed; Journal article, 2023)Large-scale agile development has gained widespread interest in the software industry, but it is a topic with few empirical studies of practice. Development projects at scale introduce a range of new challenges in managing ... -
A longitudinal study of human–chatbot relationships
(Peer reviewed; Journal article, 2022)Social chatbots have become more advanced, paving the way for human–chatbot relationships (HCRs). Although this phenomenon has already received some research attention, the results have been contradictory, and there is ... -
A Longitudinal Study of Self-Disclosure in Human-Chatbot Relationships
(Peer reviewed; Journal article, 2023)Self-disclosure in human–chatbot relationship (HCR) formation has attracted substantial interest. According to social penetration theory, self-disclosure varies in breadth and depth and is influenced by perceived rewards ... -
Losing Control to Data-Hungry Apps – A Mixed-Methods Approach to Mobile App Privacy
(Journal article; Peer reviewed, 2018)Personal data from mobile apps are increasingly impacting users’ lives and privacy perceptions. However, there is a scarcity of research addressing the combination of (1) individual perceptions of mobile app privacy, (2) ... -
Low frequency sound insulation in building
(Research report, 2006)This report is based on presentations and discussions in a workshop with participants from Chalmers University of Technology, Forsvarsbygg, Norwegian Geotechnical Institute (NGI), Norwegian University of Science and ... -
Low-complexity Risk-averse MPC for EMS
(Chapter; Peer reviewed, 2021)A data-driven stochastic MPC strategy is presented as an EMS for the Skagerak Energilab microgrid. Uncertainties, introduced due to the intermittent nature of RES and load demands, are systematically incorporated into the ... -
Low-Temperature Aluminum-Aluminum Wafer Bonding
(Journal article; Peer reviewed, 2016)Aluminum-aluminum thermo-compression wafer bonding is becoming increasingly important in the production of microelectromechanical systems (MEMS) devices. As the chemically highly stable aluminum oxide layer acts as a ... -
Lower-Grade Gliomas: An Epidemiological Voxel-Based Analysis of Location and Proximity to Eloquent Regions
(Peer reviewed; Journal article, 2021)Background: Glioma is the most common intra-axial tumor, and its location relative to critical areas of the brain is important for treatment decision-making. Studies often report tumor location based on anatomical taxonomy ... -
LR B-splines to approximate bathymetry datasets: An improved statistical criterion to judge the goodness of fit
(Peer reviewed; Journal article, 2022)The task of representing remotely sensed scattered point clouds with mathematical surfaces is ubiquitous to reduce a high number of observations to a compact description with as few coefficients as possible. To reach that ... -
Læringsbrett til alle elevene. Evaluering av bruk av læringsteknologier i Malvik-skolene.
(SINTEF Rapport;2023:00025, Research report, 2023)Rapporten gir innsikt i muligheter og utfordringer ved innføring og bruk av 1:1 læringsbrett til alle elever og lærere i en kommune. Forskningsprosjektet hadde tre overordnede mål basert på kommunens behov: - Evaluere bruk ... -
Machine learning based assessment of preclinical health questionnaires
(Peer reviewed; Journal article, 2023)Background: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile ... -
Machine learning based investigation of influence of weather on transport mobility.
(SINTEF Rapport, Research report, 2017)Current work involves data-driven analysis of travel mobility. For this purpose, traffic counts of cars and bikes at various traffic routes along With the associated weather have been collected in Oslo, Norway. Amongst the ... -
Machine Learning for Fatigue Detection using Fitbit Fitness Trackers
(Chapter, 2022)Fatigue can be a pre-cursor to many illnesses and injuries, and cause fatal work-related incidents. Fatigue detection has been traditionally performed in lab conditions with stationary medical-grade diagnostics equipment ... -
Machine Learning for Identifying Group Trajectory Outliers
(Peer reviewed; Journal article, 2021)Prior works on the trajectory outlier detection problem solely consider individual outliers. However, in real-world scenarios, trajectory outliers can often appear in groups, e.g., a group of bikes that deviates to the ... -
Magnetic Field Energy Harvesting in Railway
(Peer reviewed; Journal article, 2022)Magnetic field energy harvesting (MFEH) is a method by which a system can harness an ambient, alternating magnetic field in order to scavenge energy. Presented in this article is a novel application of the concept aimed ... -
Maintaining Information Flow Security under Refinement and Transformation
(Research report, 2006)We address the problem of maintaining information flow security under refinement and transformation. To this end we define a schema for the specification of secure information flow properties and show that all security ...