Browsing USN Open Archive by Author "Skeie, Nils-Olav"
Now showing items 1-20 of 32
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A review of Smart House Analysis Methods for Assisting Older People Living Alone
Sanchez, Veralia Gabriela; Pfeiffer, Carlos Fernando; Skeie, Nils-Olav (Journal article; Peer reviewed, 2017) -
Analysing uncertainty in parameter estimation and prediction for grey-box building thermal behaviour models
Brastein, O.M.; Ghaderi, Ali; Pfeiffer, Carlos; Skeie, Nils-Olav (Peer reviewed; Journal article, 2020)The potential reduction in energy consumption for space heating in buildings realised by the use of predictive control systems directly depends on the prediction accuracy of the building thermal behaviour model. Hence, ... -
Clustering time-series data
Rudolfsen, Anders (Master thesis, 2024)This thesis investigates the application of machine learning techniques to classify and cluster time-series data from motor vibrations, focusing on enhancing condition-based monitoring (CBM) systems for industrial ... -
Comparison of space heating energy consumption of residential buildings based on traditional and model-based techniques
Perera, Degurunnehalage Wathsala U.; Skeie, Nils-Olav (Journal article; Peer reviewed, 2017) -
Computer vision-guided autonomous grasping system using Leo Rover with robotic arm
Ali, Nasir (Master thesis, 2024)The master’s thesis project explores Leo Rover, equipped with a Lidar sensor, stereo camera, and robotic arm, available at University of South-Easten Norway. Leo Rover is a semi-autonomous mobile robot used for research ... -
Control of temperature and energy consumption in buildings - a review.
Pfeiffer, Carlos Fernando; Skeie, Nils-Olav; Perera, Degurunnehalage Wathsala U. (Journal article; Peer reviewed, 2014)Building sector is one of the largest energy consumers in the world and currently it utilizes 40% of the total energy in the European Union. At the beginning of the article, energy crisis related to the buildings is defined ... -
Decision Trees for Human Activity Recognition in Smart House Environments
Sanchez, Veralia Gabriela; Skeie, Nils-Olav (Journal article; Peer reviewed, 2018)Human activity recognition in smart house environments is the task of automatic recognition of physical activities of a person to build a safe environment for older adults or any person in their daily life. The aim of this ... -
Detecting emergence in engineered systems: A literature review and synthesis approach
Haugen, Rune Andre; Skeie, Nils-Olav; Muller, Gerrit; Syverud, Elisabet (Peer reviewed; Journal article, 2023)Modern product development often generates systems of high complexity that are prone to emergent behavior. The industry has a need to establish better practices to detect inherent emergent behavior when engineering such ... -
Detecting emergence in engineered systems: A literature review and synthesis approach
Haugen, Rune Andre; Skeie, Nils-Olav; Muller, Gerrit; Syverud, Elisabet (Peer reviewed; Journal article, 2023)Modern product development often generates systems of high complexity that are prone to emergent behavior. The industry has a need to establish better practices to detect inherent emergent behavior when engineering such ... -
Development of a predictive maintenance application for packaging machines
Galali, Peshawa Jawhar (Master thesis, 2022)Målet med denne masteroppgaven var videreføringen av analysen og proof of concept av en applikasjon kalt (Application Packaging Machine) utført høsten 2021 av en prediktiv vedlikeholdsapplikasjon for pakkemaskiner produsert ... -
Development of Machine learning methods for extracting data from furnaces and IR camera to enhance tapping process
Oksum, Ole Jacob (Master thesis, 2022)This project was done in collaboration with Eramet Norway and USN with focus on quantifying events during the tapping of molten metal and slag. The main objective was to get data from the furnace tapping process using an ... -
Development of models for estimating snow depth and snow density using machine learning methods
Vahl, Henrik Nikolai (Master thesis, 2021)Denne oppgaven tar utgangspunkt i data fra prototyper av et foreslått system for å måle snødybde og snøtetthet med kapasitanssensorer. Den eksterne partneren, Skagerak Energi AS, ønsker et system for å måle dette. Basert ... -
Digital Twin for Industrial Induction Heating Equipment
Moldesæther, Ragnhild Eilertsen (Master thesis, 2021)EFD Induction want to look at the possibility of developing a digital twin for their induction heating equipment. A digital twin has a variety of usages, such as monitoring, predictive maintenance, and testing what-if ... -
Estimating uncertainty of model parameters obtained using numerical optimisation
Brastein, Ole Magnus; Lie, Bernt; Pfeiffer, Carlos Fernando; Skeie, Nils-Olav (Peer reviewed; Journal article, 2019)Obtaining accurate models that can predict the behaviour of dynamic systems is important for a variety of applications. Often, models contain parameters that are difficult to calculate from system descriptions. Hence, ... -
Estimation of gas/liquid and oil/water interface levels in an oil/water/gas separator based on pressure measurements and regression modelling
Arvoh, Benjamin Kaku; Skeie, Nils-Olav; Halstensen, Maths (Journal article; Peer reviewed, 2013-02-08)Gravity separators are widely used for separation of gas/oil/water/sand from both offshore and onshore oil production facilities. Estimation of the gas/liquid and oil/water interface levels in gravity separators have been ... -
Estimation of the heating time of small-scale buildings using dynamic models
Perera, Degurunnehalage Wathsala U.; Skeie, Nils-Olav (Journal article; Peer reviewed, 2016)Most buildings are not continuously occupied, such as office buildings, schools, churches and many residential buildings. Maintaining comfortable conditions only during the occupied periods reduces the energy costs. This ... -
Flood Control of Lake Toke: Model Development and Model Fitting
Kvam, Kristian D.; Furenes, Beathe; Hasaa, Åsmund; Gjerseth, Alexander Zhang; Skeie, Nils-Olav; Lie, Bernt (Journal article; Peer reviewed, 2017) -
Human behaviour modelling for welfare technology using hidden Markov models
Sanchez, Veralia Gabriela; Lysaker, Ola Marius; Skeie, Nils-Olav (Peer reviewed; Journal article, 2019)Human behaviour modelling for welfare technology is the task of recognizing a person's behaviour patterns in order to construct a safe environment for that person. It is useful in building environments for older adults or ... -
Hybrid Model Predictive Control Scheme for Controlling Temperature in Building Under Uncertainties
Jeong, Changhun; Brastein, Ole Magnus; Skeie, Nils-Olav; Sharma, Roshan (Peer reviewed; Journal article, 2023)This paper presents a study on temperature control with a heater in a building using Model Predictive Control (MPC) with a focus on addressing two uncertainties: in model and the weather forecast. In previous works, a ... -
Machine learning models for evaluation of online dust measurements in NPK prill stack
Jaganjac, Amar (Master thesis, 2022)Yara Porsgrunn are trying to determine the outflow of dust at their NPK prill facilities and if possible reduce it. This data needs also to be reported to the Norwegian authorities. Process data as well as dust measuring ...