Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tittel
Viser treff 4460-4479 av 20176
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Data Aggregation, Processing and Visualisation
(Bachelor thesis, 2019)Denne bachelor-oppgaven er skrevet av tre studenter som går automasjonsingeniør-studiet ved NTNU i Ålesund. Prosjektet ble gjennomført i vår-semesteret 2019. Oppgaven ble gitt av Seaonics, som er et selskap som leverer ... -
Data Analysis and Prediction of Turbine Failures Based on Machine Learning and Deep Learning Techniques
(Master thesis, 2023)Turbines, the backbone of numerous industries for power generation, assume a critical role in ensuring seamless operations and a continuous power supply to the system. Their uninterrupted working conditions and performance ... -
Data Analysis for the Mobile Application of the selfBACK Decision Support System
(Master thesis, 2018)The aim of the thesis is to find user behavior patterns by applying unsupervised learning methods on the selfBACK app usage data. The recognized patterns will be used as references to select interviewees in the process ... -
Data Analysis of Magnetotelluric Survey Data
(Master thesis, 2014)We study data from marine magnetotelluric (MT) surveys. In MT surveys the objective is to study the distribution of resistivity in the Earth's subsurface, and the quantity of interest is the impedance Z(ω). The impedance ... -
Data Analytics for HUNT: Recognition of Physical Activity on Sensor Data Streams
(Master thesis, 2018)Human Activity Recognition (HAR) is the field of recognizing activities by analyzing measurements of a subject s movement and environment. A major application of HAR systems is medical research. Th e Nord-Trøndelag Health ... -
Data and knowledge manangement in field studies A case for semantic technologies
(Journal article; Peer reviewed, 2017)Ship design is a knowledge-intensive industry. To design safe ship systems for demanding operations, there is an increasing need for comprehensive knowledge of the operational context. Field studies is an important source ... -
Data Anonymization for Research
(Master thesis, 2019)Implementeringen av GDPR får bedrifter til å revurdere deres måte å lagre brukerdata. Forskere trenger realistiske data for å kunne oppnå best mulige resultater. Selv med strenge regler fra GDPR mot å dele og lagre personlig ... -
Data Architecture and Design of in-vivo Neurosurgical Hyperspectral Image Database
(Master thesis, 2022)In recent years, the use of hyperspectral imaging (HSI) for microneurosurgical applications has been introduced. One of the most significant challenge that researchers and neurosurgeons face when developing or applying ... -
Data assimilation for a geological process model using the ensemble Kalman filter
(Journal article, 2017)We consider the problem of conditioning a geological process‐based computer simulation, which produces basin models by simulating transport and deposition of sediments, to data. Emphasising uncertainty quantification, we ... -
Data Assimilation in Spatio-Temporal Models with Non-Gaussian Initial States—The Selection Ensemble Kalman Model
(Peer reviewed; Journal article, 2020)Assimilation of spatio-temporal data poses a challenge when allowing non-Gaussian features in the prior distribution. It becomes even more complex with nonlinear forward and likelihood models. The ensemble Kalman model and ... -
Data assimilation with SINMOD
(Research report, 2015)Data assimilation is the process of using measured data to correct the state of a mathematical model. This report documents the data assimilation process implemented in the ocean model system SINMOD, and the tests that ... -
Data Association and Simultaneous Localization and Mapping for an Autonomous Racecar
(Master thesis, 2020)Autonom racing er et ganske nytt tilskudd til emnene robotikk og autonom mobilitet. Konseptet ble startet av Formula Student (FS)-konkurransene, og er en utfordring som studentlag over hele verden bryner seg på. Ettersom ... -
Data augmentation using GANs in EEG-based biometric systems
(Master thesis, 2022)Hjernebølger, målt med electroencephalography(EEG) har mange applikasjoner. Historisk sett har EEG hovedsaklig blitt brukt i medisin, men ved bruk av state of the art teknologi, kan EEG brukes i biometriske systemer, noe ... -
Data collection and smart nudging to promote physical activity and a healthy lifestyle using wearable devices
(Chapter, 2022)Nudge principles and techniques can motivate and improve personal health through emerging digital devices, such as activity trackers. Tracking people's health and well-being using such devices have earned widespread interest. ... -
Data collection in a cellular sensor network with nRF9160
(Master thesis, 2019)Nye standarder og produkter blir for tiden utviklet for å dekke et økende behov for distribuert innsamling av data og styring. I denne oppgaven utforsker vi nye mobilnett-standarder fra 3rd Generation Partnership Project ... -
Data curation as anticipatory generification in data infrastructure
(Peer reviewed; Journal article, 2023)Data curation is crucial for data reusability. New possibilities for digital data sharing are an urgent concern for data curators, who must keep historical datasets and present data collections always ready to meet unknown ... -
Data Curation as Governance Practice
(Peer reviewed; Journal article, 2020)Data governance is concerned with leveraging the potential value of data in data infrastructures. In IS research, data governance has developed as a management perspective, implying a narrow view of who makes decisions ... -
Data Device Control
(Bachelor thesis, 2018)Digitalisering av hverdagen er i full sving, og mange av produktene du kan få kjøpt i dag kan kobles til internettet på en eller annen måte. Utfordringen er å få en lett tilgjengelig sentral der du kan styre det som er ... -
Data Dissemination for Vehicles in Temporary Cellular Network Dead Spots
(Journal article, 2019)The cellular network coverage in sparsely populated and mountainous areas is often patchy. That can be a significant impediment for services based on connections between vehicles and their environment. In this paper, we ... -
Data driven analysis in oil and gas operations - Datadrevne analysemetoder i olje- og gassproduksjon
(Master thesis, 2016)Knowledge about the production system and models of relevant parts of the production network can improve the decision-making process in offshore oil and gas production. This thesis investigates how multivariate projection ...