• Large-scale training simulators for industry and academia 

      Komulainen, Tiina M.; Løvmo, Torgeir (Linköping Electronic Conference Proceedings;108, Journal article; Peer reviewed, 2014)
      How should industrial large-scale simulators be used in academia? Which aspects of industrial training can benefit engineering education? This article demonstrates the use of industrial large-scale simulators for educational ...
    • 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 ...
    • Limitations and Opportunities in PHM for Offshore Wind Farms: A Socio-Technical-Ecological System Perspective 

      Keprate, Arvind (Chapter, 2023)
      The burgeoning importance of offshore wind farms (OWFs) in the transition to sustainable energy systems underscores the need for effective Prognostics and Health Management (PHM) strategies. While the current PHM framework ...
    • Lipid Biomarkers in Liquid Biopsies: Novel Opportunities for Cancer Diagnosis 

      Sagini, Krizia; Urbanelli, Lorena; Buratta, Sandra; Emiliani, Carla; Llorente, Alicia (Peer reviewed; Journal article, 2023)
      Altered cellular metabolism is a well-established hallmark of cancer. Although most studies have focused on the metabolism of glucose and glutamine, the upregulation of lipid metabolism is also frequent in cells undergoing ...
    • A low-cost wave/solar powered unmanned surface vehicle 

      Elkolali, Moustafa; Al-Tawil, Ahmed; Much, Lennard; Schrader, Ryan; Masset, Olivier; Sayols, Marina; Jenkins, Andrew; Alonso, Sara; Carella, Alfredo; Alcocer, Alex (OCEANS;Global Oceans 2020: Singapore – U.S. Gulf Coast, Conference object, 2021)
      This paper presents a prototype of a low-cost Unmanned Surface Vehicle (USV) that is operated by wave and solar energy which can be used to minimize the cost of ocean data collection. The current prototype is a compact ...
    • A Low-Profile Autonomous Interface Circuit for Piezoelectric Micro-Power Generators 

      Ciftci, Berkay; Chamanian, Salar; Koyuncuoglu, Aziz; Muhtaroglu, Ali; Külah, Haluk (IEEE Transactions on Circuits and Systems I: Regular Papers;Volume: 68, Issue: 4, Peer reviewed; Journal article, 2021-02-01)
      This paper presents a low-profile and autonomous piezoelectric energy harvesting system consisting of an extraction rectifier and a maximum power point tracking (MPPT) circuit for powering portable electronics. Synchronized ...
    • Machine learning-based abnormality detection approach for vacuum pump assembly line 

      Garg, Paras; Patil, Amitkumar; Soni, Gunjan; Keprate, Arvind; Arora, Seemant (Reliability: Theory & Applications;Special Issue No 2(64), Volume 16, November 2021, Peer reviewed; Journal article, 2021-11-04)
      The fundamental basis of Industry 4.0 is to make the manufacturing sector more productive and autonomous. In the manufacturing sector, practitioners always long for product quality improvement, reducing reworking costs, ...
    • A machine learning-based viscoelastic–viscoplastic model for epoxy nanocomposites with moisture content 

      Bahtiri, Betim; Arash, Behrouz; Scheffler, Sven; Jux, Maximilian; Rolfes, Raimund (Computer Methods in Applied Mechanics and Engineering;, Peer reviewed; Journal article, 2023)
      In this work, we propose a deep learning (DL)-based constitutive model for investigating the cyclic viscoelastic-viscoplastic-damage behavior of nanoparticle/epoxy nanocomposites with moisture content. For this, a long ...
    • 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 ...
    • Measurements in a Turbulent Channel Flow by Means of an LDV Profile Sensor 

      Pasch, S.; Leister, R.; Gatti, D.; Örlü, Ramis; Frohnapfel, B.; Kriegseis, J. (Peer reviewed; Journal article, 2023)
      Spatially and temporally resolved velocity measurements in wall-bounded turbulent flows remain a challenge. Contrary to classical laser Doppler velocimetry (LDV) measurements, the laser Doppler velocity profile sensor ...
    • Measurements of physical forces in cancer cells 

      Lillebø, Emma; Mong Vu, Thu Linda (Bachelor thesis, 2022)
      A broader knowledge on how cancer cells behave physically is important for understanding how they spread throughout the body. In order to understand how metastasis of cancer cells really works, it is necessary to know ...
    • A method for smoothly disengaging the load-holding valves of energy-efficient electro-hydraulic systems 

      Hagen, Daniel; Padovani, Damiano (Proceedings;Volume 64, Issue 1, The 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications, Journal article; Peer reviewed, 2020-11-20)
      A novel self-contained, electro-hydraulic cylinder drive capable of passive load-holding, four-quadrant operations, and energy recovery was presented recently and implemented successfully. This solution improved greatly ...
    • Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks 

      Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (IEEE Symposium Series on Computational Intelligence (SSCI);, Chapter; Peer reviewed, 2020-02-20)
      In the brain, the structure of a network of neurons defines how these neurons implement the computations that underlie the mind and the behavior of animals and humans. Provided that we can describe the network of neurons ...
    • A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training 

      Marcano, Laura; Manca, Davide; Yazidi, Anis; Komulainen, Tiina M. (Computers and Chemical Engineering;Volume 132, 4 January 2020, 106621, Journal article; Peer reviewed, 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. ...
    • A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training 

      Marcano, Laura; Manca, Davide; Yazidi, Anis; Komulainen, Tiina M. (Computers and Chemical Engineering;Volume 132, Journal article; Peer reviewed, 2020-10-21)
      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. ...
    • Microwave Sensors for In Situ Monitoring of Trace Metals in Polluted Water 

      Frau, Ilaria; Wylie, Stephen; Byrne, Patrick; Onnis, Patrizia; Cullen, Jeff; Mason, Alex; Korostynska, Olga (Sensors;21 (9), Journal article; Peer reviewed, 2021-05-01)
      Thousands of pollutants are threatening our water supply, putting at risk human and environmental health. Between them, trace metals are of significant concern, due to their high toxicity at low concentrations. Abandoned ...
    • Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources 

      Masmitja, Ivan; Navarro, J.; Gomariz, S.; Aguzzi, J.; Kleft, B.; O'Reilly, T.; Katija, K.; Bouvet, P.J.; Fannjiang, C.; Vigo, M.; Puig, P.; Alcocer, Alex; Vallicrosa, G.; Palomeras, N.; Carreras, M.; Del Rio, J.; Company, J.B. (Science Robotics;Vol. 5, Issue 48, Journal article; Peer reviewed, 2020-11-25)
      Knowing the displacement capacity and mobility patterns of industrially exploited (i.e., fished) marine resources is key to establishing effective conservation management strategies in human-impacted marine ecosystems. ...
    • 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 ...
    • Modeling and control of WRRF biogas production 

      Komulainen, Tiina; Mukhtar, Bilal; Ødegaard, Truls; Johansen, Hilde; Haualand, Kristine; Jonassen, Kjell Rune; Antonsen, Simen (Peer reviewed; Journal article, 2023)
      Wastewater treatment sector uses about 1 percent of total energy consumption in European Union, hence development of energy-efficient digital technologies is an urgent challenge. The aim of this article is to develop ...
    • Modeling of Pressure and Temperature Profiles for the Flow of CO2 through a Restriction 

      Leyli, Amir Nadem; Jackson, Steven; Khawaja, Hassan; Moatamedi, Mojtaba (The International Journal of Multiphysics;Vol. 15 No. 2 (2021), Peer reviewed; Journal article, 2021-04-19)
      CO2 emissions due to massive industrialization have led to several environmental issues. Carbon Capture and Storage (CCS) is one of the most important technologies that can be used to reduce anthropogenic CO2 emissions ...