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DAB Radio Receiver using GNU Radio
(Master thesis, 2015)DAB radio, a digital replacement of FM radio, coverage is expanding. Receiver design using radio amateur equipment hasn't been much explored. This master's thesis explores the use of a DVB-T dongle, GNU Radio and a simple ... -
Data Acquisition with Unmanned Aerial Vehicle (UAV) from Floating Sensor Nodes
(Master thesis, 2014)In the last decades an increase in the need for ocean monitoring capabilities has arisen. To be able to meet these requirements a low-cost, automated solution is needed. It should be easy to maintain and to reconfigure as ... -
Data for characterization of the optical properties of Atlantic salmon (Salmo salar) blood
(Peer reviewed; Journal article, 2023)Photoplethysmography is a recent addition to physio-logging in Atlantic salmon which can be used for pulse oximetry provided that the properties for light propagation in salmon tissues are known. In this work, optical ... -
Data Fusion for Subsea Oil Spill Detection Through Wireless Sensor Networks
(Journal article; Peer reviewed, 2020)This work studies the impact of Wireless Sensor Networks (WSNs) for oil spill detection in subsea Oil&Gas applications. The case study is the Goliat FPSO where one WSN with passive acoustic sensors is assumed to be installed ... -
A Data-Driven Architecture for Sensor Validation Based on Neural Networks
(Peer reviewed; Journal article, 2020)In this paper, we propose a novel sensor validation architecture, which performs sensor fault detection, isolation and accommodation (SFDIA). More specifically, a machine-learning based architecture is presented to detect ... -
Data-Driven Classifiers for Early Meal Detection Using ECG
(Peer reviewed; Journal article, 2023)This study investigates the potential of the electrocardiogram (ECG) to perform early meal detection, which is critical for developing a fully-functional automatic artificial pancreas. The study was conducted in a group ... -
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective
(Chapter, 2021)Routine cervical cancer screening at regular periodic intervals leads to either over-screening or too infrequent screening of patients. For this purpose, personalized screening intervals are desirable that account for ... -
A Database for the Radio Frequency Fingerprinting of Bluetooth Devices
(Peer reviewed; Journal article, 2020)Radio frequency fingerprinting (RFF) is a promising physical layer protection technique which can be used to defend wireless networks from malicious attacks. It is based on the use of the distinctive features of the physical ... -
De-warping Algorithm with Limited Line Buffers
(Master thesis, 2024)Denne oppgaven tar for seg det gjennomgripende problemet med bildeforvrengning – nærmere bestemt trommelforvrengning – som hovedsakelig oppstår i vidvinkelkameraer utstyrt med fiskeøye linser. Slike forvrengninger utgjør ... -
Deblurring hyperspectral images of structures embedded in turbid media
(Master thesis, 2022)Spredning av lys er en utfordring ved hyperspektral avbildning av strukturer i turbide medium: Bildene blir uskarpe, og kan modelleres som en konvulsjon mellom et ideelt, klart bilde og en punkspredefunksjon. Metoder for ... -
Debye relaxation mechanisms of microwave heating of near-critical polar gases
(Journal article; Peer reviewed, 2010) -
Decentralized Graph Federated Multitask Learning for Streaming Data
(Annual Conference on Information Sciences and Systems (CISS);56, Chapter, 2022)In federated learning (FL), multiple clients connected to a single server train a global model based on locally stored data without revealing their data to the server or other clients. Nonetheless, the current FL architecture ... -
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication
(Journal article; Peer reviewed, 2018)This paper presents a decentralized approach to multiarea power system state estimation using a combination of conventional measurement devices and newer phasor measurement units (PMU). We employ a reduced-order approach ... -
Decision Algorithm for Parking Sensors
(Master thesis, 2020)Studier viser at opptil en tredjedel av all urbane overbelastning er forårsaket av sjåfører som leter etter et sted å parkere. Amerikanske sjåfører bruker gjennomsnittlig 17 timer i året på å søke etter gratis parkeringsplasser ... -
Decision Fusion for Carbon Dioxide Release Detection from Pressure Relief Devices
(Peer reviewed; Journal article, 2022)This work investigates the distributed detection of carbon dioxide (CO 2 ) release from storage tanks caused by the opening of pressure relief devices via inexpensive sensor devices in an industrial context. A realistic ... -
Deep Acoustic Models for Speech Quality Assessment in Children
(Master thesis, 2024)I Norge har økt innvandring ført til høyere etterspørsel etter norskopplæring, særlig for barn i skolealder som trenger å lære seg norsk raskt for å holde tritt med jevnaldrende. Denne avhandlingen utforsker bruken av ... -
Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation
(Chapter, 2021)This paper proposes a neural network based system for multi-channel speech enhancement and dereverberation. Speech recorded indoors by a far field microphone, is invariably degraded by noise and reflections. Recent single ... -
Deep Learning based Classification of Cardiac Events in Echocardiography
(Master thesis, 2022)Abstract will be available on 2023-01-29 -
Deep Learning Based FPGA-CPU Acceleration
(Master thesis, 2019)Formålet med dette prosjektet er å fortsette å utforske nye måter å akselerere sequentialcomputer kode, og finne ut om maskinens læringsteknikker tilgjengelig i dag er i stand til å hjelpe oss med denne oppgaven. Kjerneideen ... -
Deep Learning Based People Estimation on 2D Ultra-Wideband Radar Data
(Master thesis, 2023)Denne masteroppgaven undersøker ytelsen til tre typer maskinlæringsmodeller, Convolutional Neural Network (CNN), Residual Network (ResNet), og Convolutional Neural Network med Gated Recurrent Units (CNN+GRU), i oppgaven ...