• Thermal Characterization of a Gas Foil Bearing—A Novel Method of Experimental Identification of the Temperature Field Based on Integrated Thermocouples Measurements 

      Martowicz, Adam; Zdziebko, Paweł; Roemer, Jakub; Żywica, Grzegorz; Bagiński, Paweł (Peer reviewed; Journal article, 2022)
      Maintenance of adequate thermal properties is critical for correct operation of a gas foil bearing. In this work, the authors present the results of the experimentally conducted thermal characterization of a prototype ...
    • Thermoelastic Investigation of Carbon-Fiber Reinforced Composites using Drop Weight Impact Test 

      Andleeb, Zahra; Malik, Sohail; Khawaja, Hassan; Nordli, Anders Samuelsen; Antonsen, Ståle; Hussain, Ghulam; Moatamedi, Mojtaba (Applied Sciences;Volume 11 / Issue 1, Peer reviewed; Journal article, 2021-12-28)
      Composite materials are becoming more popular in technological applications due to the significant weight savings and strength these materials offer compared to metallic materials. In many of these practical situations, ...
    • Towards Automated 3D reconstruction in SME factories and Digital Twin Model generation 

      Stensrud, Mathias; Haakstad, Ole Henrik; Sakseid, Olav; Westby, Baard; Alcocer, Alex (2018 18th International Conference on Control, Automation and Systems (ICCAS);, Journal article; Peer reviewed, 2018-12-13)
      This paper presents preliminary results towards the development of digital twin models for Small to Medium Enterprise (SME) factories in a partially automated and cost-effective manner. In many cases it is desirable to ...
    • Towards Effective Automatic Feedback for Simulator Training 

      Marcano, Laura; Yazidi, Anis; Ferati, Mexhid; Komulainen, Tiina M. (Journal article; Peer reviewed, 2017)
      The presence of an expert instructor during simulator training is of great importance for the trainees, if not indispensable. The instructor’s role is to give feedback and guide the trainees to help them make the right ...
    • Towards human-robot collaboration in meat processing: Challenges and possibilities 

      Romanov, Dmytro; Korostynska, Olga; Lekang, Odd Ivar; Mason, Alex (Journal of Food Engineering;Volume 331, October 2022, 111117, Peer reviewed; Journal article, 2022-05-08)
      Background: Meat is one of the main sources of protein in human nutrition. During recent years meat production volume has been showing significant growth worldwide. The total growth of red meat production is expected to ...
    • Transcriptomic profiling of Parkinson's disease brains reveals disease stage specific gene expression changes 

      Cappelletti, Chiara; Henriksen, Sandra Pilar; Geut, Hanneke; Rozemuller, Annemieke J. M.; van de Berg, Wilma D. J.; Pihlstrøm, Lasse; Toft, Mathias (Peer reviewed; Journal article, 2023)
      Parkinson´s disease (PD) is a progressive neurodegenerative disorder characterized by both motor and non-motor symptoms. Aggravation of symptoms is mirrored by accumulation of protein aggregates mainly composed by ...
    • Truncated least square support vector machine for parameter estimation of a nonlinear manoeuvring model based on PMM tests 

      Xu, Haitong; Hassani, Vahid; Guedes-Soares, C. (Applied Ocean Research;Volume 97, April 2020, Journal article; Peer reviewed, 2020-01-28)
      A new version of least square support vector machine (LS-SVM), the truncated LS-SVM, is proposed to estimate the nondimensionalized hydrodynamic coefficients. Truncated LS-SVM is shown to be an efficient and robust method ...
    • Underwater Manipulator Control for Single Pilot ROV Control 

      Teigland, Håkon; Møller, Ments Tore; Hassani, Vahid (IFAC-PapersOnLine;, Peer reviewed; Journal article, 2022)
      Remotely operated vehicles (ROVs) are the main driver in inspection, maintenance, and repair (IMR) of underwater structures. The commercial use of ROVs in industrial applications dates to the 1980s, however, the control ...
    • Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface 

      Khan, Haroon; Khadka, Rabindra; Sultan, Malik Shahid; Yazidi, Anis; Ombao, Hernando; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)
      In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ...
    • Unmanned Aerial System for deployment and recovery of research equipment at sea 

      Zolich, Artur Piotr; Johansen, Tor Arne; Elkolali, Moustafa; Al-Tawil, Ahmed; Alcocer, Alex (Aerial Robotic Systems Physically Interacting with the Environment (AIRPHARO);2021 Aerial Robotic Systems Physically Interacting with the Environment (AIRPHARO), Conference object, 2021-10-26)
      In this paper we present details of Miniature Underwater Gliders (MUG) deployment and recovery mechanism using a multirotor Unmanned Aerial Vehicle (UAV). The paper discusses details of MUG localization with computer vision, ...
    • Urinary extracellular vesicles: A position paper by the Urine Task Force of the International Society for Extracellular Vesicles 

      Llorente, Alicia; Erdbrügger, Uta; Blijdorp, Charles J; Martens-Uzunova, Elena S. (Journal of Extracellular Vesicles;Volume 10, Issue 7. May 2021 - e12093, Peer reviewed; Journal article, 2021-05-21)
      Urine is commonly used for clinical diagnosis and biomedical research. The discovery of extracellular vesicles (EV) in urine opened a new fast-growing scientific field. In the last decade urinary extracellular vesicles ...
    • Use of Analytical Hierarchy Process in Selecting the Optimum Equipment for Execution at a Construction Project 

      Keprate, Arvind; Kumar, Gaurav Thakur (IEEE International Conference on Industrial Engineering and Engineering Management; 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Chapter; Peer reviewed; Conference proceeding, 2020-01-12)
      There are plethora of issues associated with construction project management process, the most important being the selection of the optimum equipment for execution at a construction site. Different people have different ...
    • Use of Clustering Algorithms for Sensor Placement and Activity Recognition in Smart Homes 

      Simonsson, Simon Frederick; Casagrande, Flavia Dias; Zouganeli, Evi (IEEE Access;Volume: 11, Peer reviewed; Journal article, 2023-01-23)
      This work presents a novel method for motion sensor placement within smart homes. Using recordings from 3D depth cameras within six real homes, clusters are created with the resident’s tracked location. The resulting ...
    • Use of digital twins for process safety management 

      Keprate, Arvind; Bagalkot, Nikhil (Methods in Chemical Process Safety;, Chapter; Journal article, 2022)
      The chapter discusses the framework for developing a Digital Twin (DT) for the process safety management (PSM) of small-bore piping (SBP) on a typical offshore platform. One of the important problems during the PSM of SBP ...
    • Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events 

      Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (International Journal of Semantic Computing (IJSC);Volume 15, Issue 02, Peer reviewed; Journal article, 2021)
      Developing systems for the automatic detection of events in video is a task which has gained attention in many areas including sports. However, there are still a number of shortcomings with current systems, such as high ...
    • Using the concept of data enclosing tunnel as an online feedback tool for simulator training 

      Marcano, Laura; Yazidi, Anis; Manca, Davide; Komulainen, Tiina M. (Linköping Electronic Conference Proceedings;Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59), Journal article; Journal article; Peer reviewed, 2018-11-19)
      Feedback is one of the key factors that makes industrial simulator training an effective learning tool. Usually, the trainees receive feedback from the instructor, who guides them through the simulation tasks. However, ...
    • Utvikling av kompetitive immunoassay for deteksjon av tyroksin 

      Frosta, Bendik Aasen; Klæbo, Sivert J. G. (Bachelor thesis, 2019-05-23)
      I denne oppgaven ble et kompetitivt immunoassay utviklet for deteksjon av fritt tyroksin ved bruk av små magnetiske kuler (Dynabeads). Det kompetitive immunoassayet ble optimalisert med hensyn på sterkere signal og ...
    • Utvilkling av metoder for opparbeiding og analyse av gamle regulerte og «nye» ikke regulerte miljøgifter i husstøv 

      Kopperud, Jenny Kristine; Bentzen, Kristin Leonore Lillebo (Bachelor thesis, 2019-05-23)
      I denne oppgaven ble fem metoder for prøveopparbeiding av POPer i husstøv sammenlignet. Miljøgiftene som ble fokusert på er polyklorinerte bisfenoler (PCB), klorparafiner (CP), polybrominerte defenyletere (PBDE) og nye ...
    • Vent Valve Thrust Force for Surface Effect Ships 

      Teigland, Håkon; Hassani, Vahid; Auestad, Øyvind Fidje (IFAC-PapersOnLine;Volume 52, Issue 21, 2019, Journal article; Peer reviewed, 2019-12-26)
      The Surface Effect Ship (SES) holds promise as a viable and appealing alternative for transferring crew to offshore wind farms and oil platforms due to its superior seakeeping capability, high comfort and speed. A SES is ...
    • Virtual Reality Simulators in the Process Industry. A Review of Existing Systems and the Way Towards ETS 

      Cibulka, Jaroslav; Komulainen, Tiina M.; Mirtaheri, Peyman; Nazir, Salman; Manca, Davide (Peer reviewed; Chapter, 2016)
      Simulator training with Virtual Reality Simulators deeply engages the operators and improves the learning outcome. The available commercial 3D and Virtual Reality Simulator products range from generic models for laptops ...