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A Model Predictive Control Volt/VAr Management System for the Froan network
(Chapter, 2021)This work presents a Volt/VAr Management System, based on a Model Predictive Control strategy, which can be applied for managing dynamic network resilience. Dynamic network resilience, in this context, is associated with ... -
Model-based Continuous Deployment of SIS
(Chapter; Peer reviewed, 2021)This chapter is organized as follows. Section 4.2 provides an overview of the current state of the art and of the practice for the automatic deployment of SIS. Section 4.3 introduces our solutions for the automatic deployment ... -
Model-based fleet deployment in the IoT–edge–cloud continuum
(Peer reviewed; Journal article, 2022)With the increasing computing and networking capabilities, IoT devices and edge gateways have become part of a larger IoT–edge–cloud computing continuum, where processing and storage tasks are distributed across the whole ... -
Model-based Method and Languages for Developing Flexible User Interfaces for Decision Support Systems for Emergency Response
(Lecture, 2009)The PhD work presented in this abstract is performed as part of the EMERGENCY project . The project develops decision support tools for mobile users in emergency response. A main difficulty when developing on-site end user ... -
Model-Based Software Engineering to Tame the IoT Jungle
(Journal article; Peer reviewed, 2017)The ThingML approach, which was inspired by UML, addresses the challenges of distribution and heterogeneity in the Internet of Things. This model-driven, generative approach has been continuously evolved and applied to ... -
Model-driven analysis and synthesis of textual concrete syntax
(Journal article; Peer reviewed, 2008) -
Modeling and Path-following for a snake robot with active wheels
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Modeling and Validating Dynamic Adaptation
(Chapter, 2009)This paper discusses preliminary work on modeling and validation dynamic adaptation. The proposed approach is on the use of aspect-oriented modeling (AOM) and models at runtime. Our approach covers design and runtime phases. ... -
Modeling geomechanical impact of fluid storage in poroelastic media using precomputed response functions
(Journal article; Peer reviewed, 2017)When injecting CO2 or other fluids into a geological formation, pressure plays an important role both as a driver of flow and as a risk factor for mechanical integrity. The full effect of geomechanics on aquifer flow can ... -
Modeling the Process of Speciation Using a Multiscale Framework Including A Posteriori Error Estimates
(Peer reviewed; Journal article, 2022)This paper concerns the modeling and numerical simulation of the process of speciation. In particular, given conditions for which one or more speciation events within an ecosystem occur, our aim is to develop the necessary ... -
Modeling V̇o2 on-kinetics based on intensity-dependent delayed adjustment and loss of efficiency (DALE)
(Peer reviewed; Journal article, 2022)This study presents and evaluates a new mathematical model of V̇o2 on-kinetics, with the following properties: 1) a progressively slower primary phase following the size-principle of motor unit recruitment, explaining the ... -
Modellering og simulering av pasientforløp
(Lecture, 2008) Helsevesenet er modent (nok) for beslutningsstøtte. Beslutningsstøtte er nettopp støtte, ikke ”black-box” Pasientforløp er strukturert informasjon som er egnet for modellering, simulering og optimering. Modellering ... -
Modelling and Compensating Measurement Errors Caused by Scattering in Time-Of-Flight Cameras
(Lecture, 2008)Recently, Range Imaging (RIM) cameras have become available that capture high resolution range images at video rate. Such cameras measure the distance from the scene for each pixel independently based upon a measured time ... -
Modelling and Compensating Measurement Errors Caused by Scattering in Time-Of-Flight Cameras
(Chapter, 2008)Recently, Range Imaging (RIM) cameras have become available that capture high resolution range images at video rate. Such cameras measure the distance from the scene for each pixel independently based upon a measured time ... -
Models@run.time: a guided tour of the state of the art and research challenges
(Peer reviewed; Journal article, 2019)More than a decade ago, the research topic models@run.time was coined. Since then, the research area has received increasing attention. Given the prolific results during these years, the current outcomes need to be sorted ... -
Modenhetskartlegging av programvaresikkerhet i offentlige virksomheter
(Research report, 2015)Difi ønsker å få en kartlegging av modenhet knyttet til informasjonssikkerhet i utvikling og anskaffelser av IKT-løsninger i offentlig sektor. Denne rapporten beskriver resultatene fra en spørreundersøkelse knyttet til i ... -
Modenhetsmodell for innebygd sikkerhet (BSIMM). Måling av programvaresikkerhetsaktiviteter i utviklingsorganisasjoner
(, Research report, 2016)Dette dokumentet inneholder norske oversettelser av aktivitetene beskrevet i Building Security In Maturity Model (BSIMM), lett omarbeidet fra bloggen http://infosec.sintef.no. Teksten er basert på BSIMM-V, men aktivitets ... -
Monitor 2019 - En deskriptiv kartlegging av digital tilstand i norske skoler og barnehager
(SINTEF rapport;2019:00877, Research report, 2019)Monitor 2019 er en kartlegging av digital tilstand i norske skoler og barnehager. Våre hovedfunn på skole er at den digitale praksisen er regulert ut ifra didaktiske vurderinger, læringsmål og alder på elevene. Elever og ... -
Monitor the marine security, environment and resources in the Arctic Ocean with the holistic i-Nord information system
(Lecture, 2009)The i-Nord pre-project is a product of the Norwegian Government’s High North Strategy . The main objective of i-Nord is to implement and operate a comprehensive monitoring and information system of the High North Ocean ... -
Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning
(Chapter, 2022)Videos and images are commonly used in home monitoring systems. However, detecting emergencies in-home while preserving privacy is a challenging task concerning Human Activity Recognition (HAR). In recent years, HAR combined ...