Blar i Institutt for elektroniske systemer på tittel
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Machine learning applied to GPU test generation
(Master thesis, 2023)Denne oppgaven har undersøkt hvordan finne effektiv tester og stimuli for simulerings basert verifikasjons av digital kretser. Nåværende metoder er baseres på avgrenset tilfeldig simulering og menneskelig involvering. Dette ... -
Machine Learning for Classification of Myocardial Infarction and Heart failure Using Longitudinal Myocardial Strain
(Master thesis, 2020)Venstre-ventrikkels ejeksjonsfraksjon (EF) har lenge blitt brukt som en indikator på hjertetilstand av pasienter i klinisk kardiologi. De siste årene har bruken av myokardiell tøyning til diagnostikk også blitt mer utbredt. ... -
Machine Learning for Smart Building Applications: Review and Taxonomy
(Journal article; Peer reviewed, 2019)The use of machine learning (ML) in smart building applications is reviewed in this article. We split existing solutions into two main classes: occupant-centric versus energy/devices-centric. The first class groups solutions ... -
Machine Learning of Circulatory Oscillations in Cardiac Surgical Patients
(Master thesis, 2016)The human circulatory system is a complex organ system, with multiple feedback and feedforward mechanism for regulation. When global circulatory variables are assessed, these exhibit distinct oscillatory patterns with ... -
Machine Learning of Sub-Phonemic Units for Speech Recognition
(Master thesis, 2015)This work is intended to explore the performance of a new set of acoustic model units in speech recognition. The acoustic models were built and evaluated from scratch in several steps: Feature extraction, acoustic detection ... -
Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes
(Chapter, 2019)In buildings, a large chunk of energy is spent on heating, ventilation and air conditioning systems. One way to optimize their usage is to make them demand-driven depending on human occupancy. This paper focuses on accurately ... -
A Machine-Learning Architecture for Sensor Fault Detection, Isolation and Accommodation in Digital Twins
(Journal article; Peer reviewed, 2022)Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This paper ... -
Machine-Learning Sensor Validation for Digital Twins
(Doctoral theses at NTNU;2023:151, Doctoral thesis, 2023)The rapid growth of digital twins (DTs), built upon Internet of Things (IoT) and Industrial IoT systems, demands a large variety of networked sensors’ solutions. Indeed, networked sensors enable various sophisticated ... -
Machine-learning-based estimation and rendering of scattering in virtual reality
(Journal article; Peer reviewed, 2019)In this work, a technique to render the acoustic effect of scattering from finite objects in virtual reality is proposed, which aims to provide a perceptually plausible response for the listener, rather than a physically ... -
Magnetic domain configuration of (111)-oriented LaFeO3 epitaxial thin films
(Journal article; Peer reviewed, 2017)In antiferromagnetic spintronics control of the domains and corresponding spin axis orientation is crucial for devices. Here we investigate the antiferromagnetic axis in (111)-oriented LaFeO3/SrTiO3, which is coupled to ... -
Magnetic domain formation in ultrathin complex oxide ferromagnetic/antiferromagnetic bilayers
(Journal article; Peer reviewed, 2018)In this study, we report on the magnetic domain formation in ultrathin blanket films and patterned micro- and nanostructures of ferromagnetic (FM) La0.7Sr0.3MnO3 single-layers and antiferromagnetic (AF)/ferromagnetic ... -
Magnetic field-mappings in low field large-aperture accelerator magnets
(Bachelor thesis, 2023)Roterende-spole målinger er en av de mest brukte metodene for målinger av partikkelakselerator- magneter, fordi den har høy nok presisjon og robusthet. En av begrensingene til målemetoden er at den gir lav fleksibilitet, ... -
Magnetic Force Microscopy and Micromagnetic Simulations of Nanoscale Magnetic Structures and Modified Artificial Spin Ices
(Master thesis, 2020)Kunstige spinnis betegner magnetiske metamaterialer som består av koblede nanomagneter plassert i et gitter. De utgjør interessante system fordi de gir mulighet til å skreddersy magnetiske egenskaper. Videre har de et ... -
Magnetic Force Microscopy of Magnetic Nanodisk Arrays at Room Temperature
(Master thesis, 2019)De senere årene har verden opplevd en eksponentiell økning i energiforbruket relatert til informasjonsteknologi og data. Samtidig er det et intenst behov for å redusere verdenssamfunnets samlede energiforbruk. Dette gjør ... -
Magnetic Ordering in Artificial Spin Ice: Towards Tailormade Magnetic Metamaterials
(Master thesis, 2021)CMOS-teknologi nærmer seg grensen av Moore's lov, og stadig mer oppmerksomhet blir rettet mot potensielle materialer til bruk i ukonvensjonelle datamaskiner. Utvikling i nanofabrikkeringsteknikker har gitt økt fokus og mer ... -
Magnetic permeability in Fresnel’s equation
(Journal article; Peer reviewed, 2019)Magnetic permeabilities derived for infinite, periodic media are used in the Fresnel equation to calculate the reflection from corresponding semi-infinite media. By comparison to finite-difference time-domain (FDTD) ... -
Magnetic vortex dynamics in interacting micromagnets
(Master thesis, 2015)We have studied magnetic vortex oscillations in circular LSMO (lanthanum strontium manganite) disks by micromagnetic simulations. The simulations were performed using the MuMax3 software developed at the DyNaMat group ... -
Magneto-dynamic properties of complex oxide—La0.7Sr0.3MnO3/SrTiO3— heterostructure interface
(Journal article; Peer reviewed, 2019)We have studied the interface magnetodynamic properties of La0.7Sr0.3MnO3/SrTiO3 (111) heterostructures by Ferromagnetic resonance spectroscopy (FMR). In addition to the bulk FMR mode, the measurements indicate a mode ... -
Magnetodynamic properties of dipole-coupled 1D magnonic crystals
(Journal article, 2021)Magnonic crystals are magnetic metamaterials, that provide a promising way to manipulate magnetodynamic properties by controlling the geometry of the patterned structures. Here, we study the magnetodynamic properties of ... -
Managing Product Development and Integration of a University CubeSat in a Locked down World
(Chapter, 2021)In this article, we describe how digital collaboration tools used during lockdown require new approaches to project management and systems engineering based on the action research case study of a CubeSat student team in ...