• 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 ...
    • MAKERIET: A NORWEGIAN UNIVERSITY MAKERSPACE 

      Güler, Evin; Andersson, Anders-Petter; Mirtaheri, Peyman; Gjøvaag, Terje (Chapter; Peer reviewed, 2017)
      In this paper, we review the existing state of current Norwegian university makerspaces, and what is unique and common to all of them. The participating makerspaces will help discover the impacts they have on ...
    • Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (2018 International Conference on Intelligent Systems (IS);, Chapter; Chapter; Peer reviewed, 2018)
      We present preliminary results on sensor data prediction in a smart home environment with a limited number of binary sensors. The data has been collected from a real home with one resident over a period of 17 weeks. We ...
    • Occupancy and daily activity event modelling in smart homes for older adults with mild cognitiveiImpairment or dementia 

      Casagrande, Flavia Dias; Zouganeli, Evi (Linköping Electronic Conference Proceedings;153, Chapter; Peer reviewed, 2018)
      In this paper we present event anticipation and prediction of sensor data in a smart home environment with a limited number of sensors. Data is collected from a real home with one resident. We apply two state-of-the-art ...
    • CW fNIRS with short channel regression and amplitude modulation 

      Engvik, Max; Gjestemoen, Marte Helén Andersen; Horpestad, Anders; Martinsen, Janne; Nordli, Stian (Bachelor thesis, 2018-05-23)
      Functional Near Infrared Spectroscopy (fNIRS) is a relatively new and promising field within brain imaging and neuroscience. It offers a cost efficient, non-invasive method for brain studies, both for research and clinical ...
    • Increased DNA methylation of SLFN12 in CD4+ and CD8+ T cells from multiple sclerosis patients 

      Rhead, Brooke; Brorson, Ina Skaara; Berge, Tone; Adams, Cameron; Quach, Hong; Moen, Stine Marit; Berg-Hansen, Pål; Celius, Elisabeth Gulowsen; Sangurdekar, Dipen; Bronson, Paola G.; Lea, Rodney A.; Burnard, Sean; Maltby, Vicky E.; Scott, Rodney J; Lechner-Scott, Jeannette; Harbo, Hanne Flinstad; Bos, Steffan Daniel; Barcellos, Lisa F (PLoS ONE;13 (10): e0206511, Journal article; Journal article; Peer reviewed, 2018-10-31)
      DNA methylation is an epigenetic mark that is influenced by environmental factors and is associated with changes to gene expression and phenotypes. It may link environmental exposures to disease etiology or indicate important ...
    • Model predictive control of district heating system 

      Lie-Jensen, Frode; Aannø, Andreas; Aleksandrova, Elena; Westli, Anders; Nielsen, Morten; Komulainen, Tiina M. (Linköping Electronic Conference Proceedings;153:007, Journal article; Journal article; Peer reviewed, 2018-11-19)
      District heating system (DHS) is a widely used and increasingly popular energy source in cities. The uncertainty in the heat load (HL) due to customer demand fluctuations makes unit commitment (UC) and heat production unit ...
    • 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, ...
    • Oil and Gas digital twins after twenty years. How can they be made sustainable, maintainable and useful? 

      Cameron, David B.; Waaler, Arild; 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)
      The digital twin offers a potentially powerful way of using simulation to support business and change the way industrial operations are done. The idea of the digital twin is not new but recent changes in information ...
    • Learning transfer through industrial simulator training: Petroleum industry case 

      Komulainen, Tiina M.; Sannerud, Arne Ronny (Cogent Education;Volume 5 - 2018, Journal article; Peer reviewed, 2018-12-03)
      Efficient teamwork skills, high level of complex process knowledge and a vast set of operational abilities are essential for safe and economical operation in process industries. During the past decade, human factors have ...
    • 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 ...
    • Multiphysics Impact Analysis of Carbon Fiber Reinforced Polymer (CFRP) Shell 

      Strand, Cathrine Høgmo; Andleeb, Zahra; Khawaja, Hassan; Moatamedi, Mojtaba (Materials Research Proceedings 13 (2019), Journal article; Peer reviewed, 2019)
      With increasing popularity of Carbon Fiber Reinforced Polymer (CFRP) over time, the need for research in the field has increased dramatically. Many industries, i.e. aeronautical, automotive, and marine are opting to install ...
    • Activity Recognition and Prediction in Real Homes 

      Casagrande, Flavia Dias; Zouganeli, Evi (Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings;, Chapter; Peer reviewed, 2019)
      In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, ...
    • Experimental investigation on the light transmission of a textile-based over-cap used in functional near-infrared spectroscopy 

      Sherkat, Habib; Gjøvaag, Terje; Mirtaheri, Peyman (Proceedings of SPIE;Volume 11074, Journal article; Peer reviewed, 2019)
      Functional near-infrared spectroscopy as an optical (i.e., light-based) neuroimaging technique is susceptive to ambient light noise. In the daily task scenario experiments, light is required to monitor the movement of ...
    • Enhancement of collaboration in the early stage of an interdisciplinary engineering and design project: mapping group dynamics 

      Risnes, Martha; Mellema, Mirjam; Pinto-Orellana, Marco Antonio; Sherkat, Habib (Engineering and Product Design Education (E&PDE);, Conference object, 2019)
      Health care systems are moving towards interdisciplinary patient-centred solutions. Team members can agree on high-level aspirations, but it does not imply that they will have conformity in specific objectives. Collaboration ...
    • Review of simulator training practices for industrial operators: How can individual simulator training be enabled? 

      Marcano, Laura; Haugen, Finn; Sannerud, Arne Ronny; Komulainen, Tiina M. (Safety Science;Volume 115, June 2019, Journal article; Peer reviewed, 2019-03-02)
      The aim of simulator training is to improve the safety and integrity of operations. Effective simulator training involves relevant feedback and sound assessment of the operator’s performance. Operators need proper feedback ...
    • A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis. 

      Madireddy, L; Patsopoulos, NA; Cotsapas, C; Bos, Steffan Daniel; Beecham, Ashley; McCauley, J; Kim, K; Jia, X; Santaniello, A; Caillier, SJ; Andlauer, TFM; Barcellos, Lisa; Berge, Tone; Bernardinelli, L; Martinelli-Boneschi, F; Booth, D; Briggs, Farren; Celius, Elisabeth Gulowsen; Comabella, M; Comi, G; Cree, BAC; D'Alfonso, S; Dedham, K; Duquette, P.; Dardiotis, E; Esposito, F; Gasperi, Christiane; Goris, A; Dubois, B; Gourraud, PA; Hadjigeorgiou, GM; Haines, J; Hawkins, C; Hemmer, B; Hintzen, R; Horakova, D; Isobe, N; Kalra, S; Kira, Jun-ichi; Khalil, M; Kockum, I; Lill, CM; Lincoln, Michelle; Luessi, F; Martin, R; Oturai, A; Palotie, A; Pericak-Vance, MA; Henry, R; Saarela, J; Ivinson, Adrian; Olsson, Thomas; Taylor, Bruce; Stewart, GJ; Harbo, Hanne Flinstad; Compston, A; Hauser, SL; Hafler, DA; Zipp, F; De Jager, P; Sawcer, S; Oksenberg, JR; Baranzini, SE (Nature Communications;10, Article number: 2236 (2019), Journal article; Peer reviewed, 2019-03-26)
      Genome-wide association studies (GWAS) have identified more than 50,000 unique associations with common human traits. While this represents a substantial step forward, establishing the biology underlying these associations ...
    • Quantitative proteomic analyses of CD4+ and CD8+ T cells reveal differentially expressed proteins in multiple sclerosis patients and healthy controls 

      Berge, Tone; Eriksson, Anna; Brorson, Ina Skaara; Høgestøl, Einar August; Berg-Hansen, Pål; Døskeland, Anne Marie Simonne; Mjaavatten, Olav; Bos, Steffan Daniel; Harbo, Hanne Flinstad; Berven, Frode (Clinical Proteomics;16, Article number: 19 (2019), Peer reviewed; Journal article, 2019-04-27)
      Background: Multiple sclerosis (MS) is an autoimmune, neuroinflammatory disease, with an unclear etiology. How‑ ever, T cells play a central role in the pathogenesis by crossing the blood–brain‑barrier, leading to inflammation ...
    • A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis 

      Madireddy, Lohith; Patsopoulos, Nikolaos A.; Cotsapas, Chris; Bos, Steffan Daniel; Beecham, Ashley; McCauley, Jacob; Kim, Kicheol; Jia, Xiaoming; Santaniello, Adam; Caillier, Stacy J.; Andlauer, Till F.M.; Barcellos, Lisa F.; Berge, Tone; Bernardinelli, Luisa; Martinelli-Boneschi, Filippo; Booth, David R.; Briggs, Farren; Celius, Elisabeth Gulowsen; Comabella, Manuel; Comi, Giancarlo; Cree, Bruce A.C.; D'Alfonso, Sandra; Dedham, Katrina; Duquette, Pierre; Efthimios, Dardiotis; Esposito, Federica; Fontaine, Bertrand; Gasperi, Christiane; Goris, An; Dubois, Bénédicte; Gourraud, Pierre-Antoine; Hadjigeorgiou, Georgios; Haines, Jonathan; Hawkins, Clive; Hemmer, Bernhard; Hintzen, Rogier; Horakova, Dana; Isobe, Noriko; Kalra, Seema; Kira, Jun-ichi; Khalil, Michael; Kockum, Ingrid; Lill, Christina M.; Lincoln, Matthew R; Luessi, Felix; Martin, Roland; Oturai, Annette; Palotie, Aarno; Pericak-Vance, Margaret A.; Henry, Roland; Saarela, Janna; Ivinson, Adrian; Olsson, Tomas; Taylor, Bruce V.; Stewart, Graeme J.; Harbo, Hanne Flinstad; Compston, Alastair; Hauser, Stephen L.; Hafler, David A.; Zipp, Frauke; De Jager, Philip; Sawcer, Stephen; Oksenberg, Jorge R.; Baranzini, Sergio E. (Nature Communications;10, Article number: 2236 (2019), Journal article; Peer reviewed, 2019-05-20)
      Genome-wide association studies (GWAS) have identified more than 50,000 unique associations with common human traits. While this represents a substantial step forward, establishing the biology underlying these associations ...
    • No differential gene expression for CD4+ T cells of MS patients and healthy controls. 

      Brorson, Ina Skaara; Eriksson, Anna; Leikfoss, Ingvild Sørum; Celius, Elisabeth Gulowsen; Berg-Hansen, Pål; Barcellos, Lisa F.; Berge, Tone; Harbo, Hanne Flinstad; Bos, Steffan Daniel (Multiple Sclerosis Journal - Experimental, Translational and Clinical;Volume 5(2), Journal article; Peer reviewed, 2019-05-20)
      Background: Multiple sclerosis-associated genetic variants indicate that the adaptive immune system plays an important role in the risk of developing multiple sclerosis. It is currently not well understood how these multiple ...