Browsing NTNU Open by Author "Martens, Harald"
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150 Years of the Mass Action Law
Voit, Eberhard; Martens, Harald; Omholt, Stig William (Journal article; Peer reviewed, 2015)This year we celebrate the 150th anniversary of the law of mass action. This law is often assumed to have been “there” forever, but it has its own history, background, and a definite starting point. The law has had an ... -
A Comparison Study of Different Optimizing Criteria and Confounding Patterns For Multi-Level Binary Replacement and Other Designs Used in Computer Experiments
Thalberg, Hege Grøstad (Master thesis, 2011)We have constructed four different types of designs for computer experiments. Thedesign types are based on latin hypercube sampling (LHS), orthogonal arrays (OA), ran-dom sampling and the recently proposed multi-level ... -
A computational pipeline for quantification of mouse myocardial stiffness parameters
Nordbø, Øyvind; Lamata, P.; Land, Sander; Niederer, Steven A.; Aronsen, Jan Magnus; Louch, William Edward; Sjaastad, Ivar; Martens, Harald; Gjuvsland, Arne Bjørke; Tøndel, Kristin; Torp, Hans; Lohezic, M; Schneider, Jürgen; Remme, Espen W.; Smith, Nicolas P; Omholt, Stig W; Vik, Jon Olav (Journal article; Peer reviewed, 2014)The mouse is an important model for theoretical–experimental cardiac research, and biophysically based whole organ models of the mouse heart are now within reach. However, the passive material properties of mouse myocardium ... -
Causality, machine learning and human insight
Martens, Harald (Peer reviewed; Journal article, 2023)Modern instruments generate BIG DATA that require information extraction before they can be used. A hybrid modelling framework for that is presented and illustrated. Its purpose is to convert meaningless data to meaningful ... -
Condition Monitoring of Mechanical Equipment Using Bilinear Modeling of Vibrations
Neset, Jørgen Lerøy (Master thesis, 2018)The purpose of this project is to investigate the application of multivariate analysis methods on vibration data obtained from a diesel engine using acoustic contact microphones. A fully instrumented Mercedes-Benz OM613 ... -
Data driven analysis in oil and gas operations - Datadrevne analysemetoder i olje- og gassproduksjon
Nordmo, Michael Helland (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 ... -
Emulating facial biomechanics using multivariate partial least squares surrogate models
Martens, Harald; Wu, Tim; Hunter, Peter; Mithraratne, Kumar (Journal article; Peer reviewed, 2014)A detailed biomechanical model of the human face driven by a network of muscles is a useful tool in relating the muscle activities to facial deformations. However, lengthy computational times often hinder its applications ... -
Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13
Olsen, Hanne Gro; Knutsen, Tim Martin; Kohler, Achim; Svendsen, Morten; Gidskehaug, Lars Halvor; Grove, Harald; Nome, Torfinn; Sodeland, Marte; Sundsaasen, Kristil Kindem; Kent, Matthew Peter; Martens, Harald; Lien, Sigbjørn (Journal article; Peer reviewed, 2017)Background Bovine milk is widely regarded as a nutritious food source for humans, although the effects of individual fatty acids on human health is a subject of debate. Based on the assumption that genomic selection offers ... -
Improvement of a Robotic Manipulator Model Based on Multivariate Residual Modeling
Gale, Serge; Rahmati, Hodjatolah; Gravdahl, Jan Tommy; Martens, Harald (Journal article; Peer reviewed, 2017)A new method is presented for extending a dynamic model of a six degrees of freedom robotic manipulator. A non-linear multivariate calibration of input–output training data from several typical motion trajectories is carried ... -
Investigating the Potential of Principal Component Analysis on Online Sales Records
Lekva, Trym Tarjeison (Master thesis, 2018)A multivariate method called principal component analysis has been used to model and analyze patterns in online sales records. Specifically, sales from a Chinese hot pot soup company from 2016 and 2017 have been analyzed. ... -
Multivariate data modelling for de-shadowing of airborne hyperspectral imaging
Fortuna, João; Martens, Harald (Journal article; Peer reviewed, 2017-02)Airborne hyperspectral imaging is a powerful technique for high-resolution classification of large areas of ground, applied today in fields like agriculture and environmental monitoring. Even though many classification ... -
Multivariate Image Fusion: A Pipeline For Hyperspectral Data Enhancement
Fortuna, João; Martens, Harald; Johansen, Tor Arne (Journal article, 2020)Hyperspectral cameras provide high spectral resolution data, but their usual low spatial resolution when compared to color (RGB) instruments is still a limitation for more detailed studies. This article presents a simple ... -
Nonlinear Adaptive Motion Control and Model-Error Analysis for Ships - Simulations and MCLab experiments
Bjørne, Elias S. (Master thesis, 2016)Havet er et upålitelig miljø fult av ulineariteter og forstyrrelser. Dette øker viktigheten av å ha en kontroller som kan håndtere den forandrende dynamikken til skipet for å oppnå førsteklasses styring. Et helhetlig ... -
Prelimenary preprocessing of ECG-signals for use in multivariate analysis
Wedeld, Mikael Dyb (Master thesis, 2018)In order to lay the framework for a possible multivariate heart model, a set of methods for preprocessing an electrocardiogram signal has been created. A normalized least mean square adaptive filter was created for filtering ... -
Preprocessing of Arterial Pressure Waves for Later Use in Modeling of Individual Heartbeats
Danielsen, Tina (Master thesis, 2018)Arterial pressure waves (APW) contain essential information, where the different shape of the waveform can indicate illness or essential information. Furthermore, there can be differences between subject independent of ... -
Quantitative Big Data: where chemometrics can contribute
Martens, Harald (Journal article; Peer reviewed, 2015)