Browsing NTNU Open by Author "Varagnolo, Damiano"
Now showing items 41-60 of 71
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A JANUS-Based Consensus Protocol for Parametric Modulation Schemes
Wengle, Emil; Potter, John; Varagnolo, Damiano; Dong, Hefeng (Chapter, 2022)JANUS, the first digital underwater acoustic communications standard, is robust to noise in low SNR situations, but offers very limited data rate. A primary use of JANUS is thus that of a first-contact language in underwater ... -
Lithology classification of whole core CT scans using convolutional neural networks
Chawshin, Kurdistan; Berg, Carl Fredrik; Varagnolo, Damiano; Lopez, Olivier (Journal article; Peer reviewed, 2021) -
Lithology classification of whole core CT scans using convolutional neural networks
Chawshin, Kurdistan; Berg, Carl Fredrik; Varagnolo, Damiano; Lopez, Olivier (Peer reviewed; Journal article, 2021)X-ray computerized tomography (CT) images as digital representations of whole cores can provide valuable information on the composition and internal structure of cores extracted from wells. Incorporation of millimeter-scale ... -
Metamodeling of the Electrical Conditions in Submerged Arc Furnaces
Sparta, Manuel; Varagnolo, Damiano; Stråbø, Kristian; Halvorsen, Svenn Anton; Herland, Egil Vålandsmyr; Martens, Harald Aagaard (Journal article; Peer reviewed, 2021)Physics-based Finite Element Methods models can be used to investigate the electrical conditions in submerged arc furnaces (SAFs). However, their explicit solution may be very demanding in terms of time and computational ... -
Multi-Agent Newton-Raphson Optimizaton Over Lossy Networks
Bof, Nicoletta; Carli, Ruggero; Notarstefano, Giuseppe; Schenato, Luca; Varagnolo, Damiano (Peer reviewed; Journal article, 2019)In this work, we study the problem of unconstrained convex optimization in a fully distributed multiagent setting, which includes asynchronous computation and lossy communication. In particular, we extend a recently proposed ... -
Multi-criteria Controller Design for Uncertain Isolated Power Systems with Renewable Power Generation
Faanes, Andreas (Master thesis, 2021)For å tilfredsstille målet om høy andel av fornybar energi på offshore olje & gass plattformer, må det utvikles nye regulerings algoritmer som takler frekvensregulering under usikkerhet. På grunn av det lave treghetsmomentet ... -
Multi-objective control of isolated power systems under different uncertainty approaches
Chapaloglou, Spyridon; Faanes, Andreas; Varagnolo, Damiano; Tedeschi, Elisabetta (Peer reviewed; Journal article, 2022)This paper proposes and compares a set of multi-objective supervisory controllers for an isolated power system including a gas turbine operating in load following mode as a dominant source of generation, a battery energy ... -
Next generation handgrip trainers
Belboe, Ole Einar Kværnsveen; Eritsland, Elias Loe; Meta, Admir (Bachelor thesis, 2023)Denne oppgaven forklarer utviklingsprosessen for en håndgrepstrener som kan samle inn målinger, loggføre data og nøyaktig beskrive grepets dynamikk. Dette betyr at den utviklede håndgrepstreneren må være i stand til å måle ... -
Novel VR Exergaming for Wheelchair Users: Cybersickness and User Experience
Flatlandsmo, Embla (Master thesis, 2023)Individuals using wheelchairs tend to live a more sedentary lifestyle than the average population, leading to a higher susceptibility of obesity, diabetes, and cardiovascular diseases. To address this, this thesis explores ... -
Object and text recognition from engineering drawings
Dagsvik, Kjell Martin (Master thesis, 2023)Denne avhandlingen beskriver hvordan vi bruker maskinlæring til å gjenkjenne objekter i Rør og instrument diagrammer. Vi har bygget opp et relevant datasett, behandlet dataene, og utviklet et verktøy for visualisering. ... -
On Adversarial Regularization of Tabular Wasserstein Generative Adversarial Networks
Eiring, Sverre Roalsø (Master thesis, 2022)I løpet av det siste tiåret har maskinlæring og spesielt dyp læring utviklet seg til å bli et stadig mer brukt verktøy i de digitale tjenestene vi benytter oss av, som dermed gjør at de gjennomsyrer samfunnene og livene ... -
Probabilistic Economic Assessment of an Offshore Energy Hub Supplying Electrical Power to a Floating Production Storage and Offloading Unit
Abritta Aguiar Santos, Ramon; Pavlov, Alexey; Varagnolo, Damiano; Tore Børresen, Børre (Journal article, 2023)This paper analyzes the viability of an offshore energy hub consisting of wind turbines, batteries, fuel cells and electrolyzers connected to, and powering, an oil producing floating production storage and offloading unit. ... -
Probabilistic Economic Assessment of an Offshore Energy Hub Supplying Electrical Power to a Floating Production Storage and Offloading Unit
Abritta, Ramon; Pavlov, Alexey; Varagnolo, Damiano; Børresen, Børre Tore (Chapter, 2023)This paper analyzes the viability of an offshore energy hub consisting of wind turbines, batteries, fuel cells and electrolyzers connected to, and powering, an oil producing floating production storage and offloading unit. ... -
Proprioceptive Contact Force and Contact Point Estimation in a Stationary Snake Robot
Løwer, Jostein; Gravdahl, Irja; Varagnolo, Damiano; Stavdahl, Øyvind (Peer reviewed; Journal article, 2022)Measuring contact forces and knowing how and where a robot is interacting with obstacles in its environment is particularly useful for developing physics-based Obstacle-Aided Locomotion strategies for snake robots. The ... -
Quantitative analysis of curricula coherence using directed graphs
Knorn, Steffi; Varagnolo, Damiano; Staffas, Kjell; Wrigstad, Tobias; Fjällström, Eva (Journal article; Peer reviewed, 2019)This paper investigates methods for quantitatively examining the connectivity and knowledge flow in a university program considering courses and concepts included in the program. The proposed method is expected to be useful ... -
A receding horizon approach for curriculum management in higher education
Larsen, Thomas Nakken; Busetto, Riccardo; Varagnolo, Damiano; Formentin, Simone; Rasheed, Adil (Peer reviewed; Journal article, 2022)We propose a dynamic approach for curriculum management in university programs, i.e., for deciding which teaching and learning activities should be performed and in which order, as classes are being executed, to better aid ... -
Regularization when modeling with biased simulation data as a prior
Bjørkøy, Håvard Bjørgan; Engmark, Hans Alvar; Rasheed, Adil; Varagnolo, Damiano (Chapter, 2023)Embedding physical knowledge in system identification increases the generalization capabilities of the identified models. For complex engineering systems, such as a process plant, the most complete and detailed quantitative ... -
Resistivity Estimation Using Convolutional Neural Networks
Bui, Richard Che (Master thesis, 2021)Denne oppgaven undersøker egnetheten av å anvende 2D tverrsnitt av 3D kjerneprøver i form av CT-scan data sammen med konvolusjonelle nevrale nettverk(CNN) for å bygge modeller for prediksjon av resistivitet. En av de viktige ... -
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
Heiberg, Amalie; Larsen, Thomas Nakken; Meyer, Eivind; Rasheed, Adil; San, Omer; Varagnolo, Damiano (Peer reviewed; Journal article, 2022)Autonomous systems are becoming ubiquitous and gaining momentum within the marine sector. Since the electrification of transport is happening simultaneously, autonomous marine vessels can reduce environmental impact, lower ... -
Semi-Supervised Learning for Spasm Detection in Children with Cerebral Palsy
Norland, Ingrid Holter (Master thesis, 2023)Barn med cerebral parese (CP) står ofte overfor utfordringer knyttet til bevegelse og kommunikasjon. MoveMe har som mål å tilby et verktøy som motiverer bevegelse hos disse barna ved å bruke sensorer som er i stand til å ...