Recent Submissions

  • A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training 

    Marcano, Laura; Manca, Davide; Yazidi, Anis; Komulainen, Tiina M. (Elsevier, 2019-10-21)
    Extensive research confirms that feedback is the key to an effective training. However, in many domains, human trainers, who can provide feedback to trainees, are considered not only a costly but also a scarce resource. ...
  • Multiphysics Impact Analysis of Carbon Fiber Reinforced Polymer (CFRP) Shell 

    Strand, Cathrine Høgmo; Andleeb, Zahra; Khawaja, Hassan; Moatamedi, Mojtaba (Materials Research Forum LLC, 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 (Springer Natue, 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, ...
  • Functionalised microwave sensors for real‑time monitoring of copper and zinc concentration in mining‑impacted water 

    Frau, Ilaria; Wylie, Stephen; Byrne, Patrick; Cullen, Jeff; Korostynska, Olga; Mason, Alex (Springer Verlag (Germany), 2019-11-11)
    Microwave spectroscopy has been identified as a novel and inexpensive method for the monitoring of water pollutants. Integrating microwave sensors with developed coatings is a novel strategy to make the sensing system more ...
  • 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 (BMC (part of Springer Nature), 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, 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 Research (part of Springer Nature), 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 ...
  • 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 (Sage Publications, 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 ...
  • BeamBending: a teaching aid for 1-D shear force and bending moment diagrams 

    Carella, Alfredo Raúl (Open Journals, 2019-09-02)
    BeamBending is both an educational module and a Python package, intended to serve as a teaching aid during a first course in Statics. The aim of this module is to enhance clarity and provide visual hands-on examples while ...
  • Action recognition in real homes using low resolution depth video data 

    Casagrande, Flavia Dias; Olsen Nedrejord, Oda; Lee, Wonho; Zouganeli, Evi (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    We report work in progress from interdisciplinary research on Assisted Living Technology in smart homes for older adults with mild cognitive impairments or dementia. We present our field trial, the set-up for collecting ...
  • Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults 

    Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (IEEE, 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 ...
  • 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. (Elsevier, 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 ...
  • 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 University Electronic Press, 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 ...
  • Towards Automated 3D reconstruction in SME factories and Digital Twin Model generation 

    Stensrud, Mathias; Haakstad, Ole Henrik; Sakseid, Olav; Westby, Baard; Alcocer, Alex (IEEE, 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 ...
  • Model predictive control of district heating system 

    Lie-Jensen, Frode; Aannø, Andreas; Aleksandrova, Elena; Westli, Anders; Nielsen, Morten; Komulainen, Tiina M. (Linköping University Electronic Press, 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 ...
  • Learning transfer through industrial simulator training: Petroleum industry case 

    Komulainen, Tiina M.; Sannerud, Arne Ronny (Cogent OA, 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 ...
  • 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 University Electronic Press, 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, ...
  • Occupancy and daily activity event modelling in smart homes for older adults with mild cognitiveiImpairment or dementia 

    Casagrande, Flavia Dias; Zouganeli, Evi (Linköping University Electronic Press, 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 ...
  • 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 (Public Library of Science, 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 ...
  • 3D printing in medical application: an educational design perspective 

    Mirtaheri, Peyman; Güler, Evin; Gjøvaag, Terje (The Design Society, 2017)
    Medical applications for 3D printin g are expanding rapidly and are expected to revolutionize health care. The application of 3D printing in medicine and healthcare can provide many bene fits, including ...
  • Towards Effective Automatic Feedback for Simulator Training 

    Marcano, Laura; Yazidi, Anis; Ferati, Mexhid; Komulainen, Tiina M. (Linköping University Electronic Press, 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 ...

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