Institutt for IKT og realfag
Recent Submissions
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On the development of laboratory projects in modern engineering education
(Journal article; Peer reviewed, 2019)Whilst a solid theoretical foundation is important in any undergraduate engineering program, practical exercises and educational laboratories play an equally vital role in educating knowledgeable and skillful engineers ... -
Generalized Lyapunov Demodulator for Amplitude and Phase Estimation by the Internal Model Principle
(Journal article; Peer reviewed, 2019)Effective demodulation of amplitude and phase is a requirement in a wide array of applications. Recent efforts have increased the demodulation performance, in particular, the Lyapunov demodulator allows bandwidths up to ... -
Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals
(Journal article; Peer reviewed, 2019)Background: EEG signals are extremely complex in comparison to other biomedical signals, thus require an efficient feature selection as well as classification approach. Traditional feature extraction and classification ... -
A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System
(Chapter, 2019)Drinking Water Supply (DWS) is one of the most critical and sensitive systems to maintain city operations globally. In Europe, the contradiction between the fast growth of population and obsolete urban water supply ... -
Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway
(Journal article; Peer reviewed, 2018)Presently, concentrations of fecal indicator bacteria (FIB) in raw water sources are not known before water undergoes treatment, since analysis takes approximately 24 h to produce results. Using data on water quality and ... -
Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience
(Journal article; Peer reviewed, 2019)The similar nature of patterns may enhance the learning if the experience they attained during training is utilized to achieve maximum accuracy. This paper presents a novel way to exploit the transfer learning experience ... -
FMU-proxy: A Framework for Distributed Access to Functional Mock-up Units
(Chapter, 2019)The main goal of the Functional Mock-up Interface (FMI) standard is to allow simulation models to be shared across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip ... -
Augmentert realitet for Offshore Kran Operasjoner
(Master thesis, 2019)I min oppåve, utforsker eg potensialet for bruk av Augmentert Realitet i offshore-kran situasjoner. Som forslag frå Offshore Simulator Center (OSC), var ideen å bruke eit Microsoft HoloLens headset for prototyping og kran ... -
Wood shrinkage coefficient and dry weight moisture content estimations from CT-images
(Journal article; Peer reviewed, 2013)The aim of this work was to try out an algorithm for estimating wood shrinkage coefficients from X-ray computed tomography images. The maximal amount of shrinkage that could occur from a green wood to oven-dry wood condition ... -
Prognostics and Health Management for Air Compressors Based on Deep Learning Techniques
(Master thesis, 2019)Typiske vedlikeholdsstrategier på luftkompressorer i dag er avhengig av planlagte vedlikeholdstiltak basert på levetidsstatistikk, eller å reparere noe etter det har feilet. Målet med denne oppgaven er å utforske prediktivt ... -
Virtual companionship
(Master thesis, 2019)Mennesker har holdt husdyr i tusenvis av år, og de kan gi både komfort og fungere som en følgesvenn, men det er mange som ikke kan ha et organisk kjæledyr, det være seg på grunn av allergier, restriksjoner påført dem av ... -
Computer-Aided Diagnostics: Segmentation of Knee Joint Anatomy Using Deep Learning Techniques
(Master thesis, 2019)Segmentering er prosessen i å dele bilder inn i flere meningsfulle deler og regioner medlignende egenskaper. Bildesegmentering er sterkt utnyttet i medisinsk bildebehandling,og gjør det mulig for leger å få ekstra diagnostisk ... -
Bankruptcy Prediction of a New Data Set of Companies in Norway
(Master thesis, 2019)I de siste årene har flere og flere forskere fokusert på forskning om konkursforutsigelse. Tradisjonelle metoder basert på statistiske modeller kan imidlertid ikke være i stand til å håndtere relevante datasett, som blir ... -
Detection and Classification of Moving Vehicle From Video Using Multiple Spatio-Temporal Features
(Journal article; Peer reviewed, 2019)The information acquisition and automatic processing technology based on visual surveillance sensors in intelligent transportation system (ITS) has become an important application field of computer vision technology. The ... -
An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things
(Journal article; Peer reviewed, 2016)The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers ... -
An agent-based approach for predicting patterns of pathogen transmission between aquaculture sites in the Norwegian fjords
(Journal article; Peer reviewed, 2019)The aquaculture industry is a main industry in Norway, and it must be sustainable, i.e. experience long-term growth and development: It is necessary to build an environmentally sustainable aquaculture industry that minimizes ... -
Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach
(Journal article; Peer reviewed, 2018)Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven ... -
A Platform for Autonomous Drone Swarms
(Master thesis, 2017)Search- and rescue operations requires participation from a lot of personnel, ranging from volunteers to non-governmental organizations and government agencies. Employing autonomous drone swarms for search can be useful ... -
Visual Analytics for Anomaly Detection in Maritime Big Data
(Master thesis, 2017)With the increase of the amount of collected data during each year, comes the need to process and understand it. Maritime domain is steadily integrating more sensors into the ship systems to enable health monitoring, help ... -
Big data analysis and visualization tools for different industries
(Master thesis, 2017)With the world s entrance into the information age, data analysis has become a major tool for the advancement of any industry. Big data analytics and visualization allows researchers and scientists to view and easily ...
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