Blar i TKD - Institutt for maskin, elektronikk og kjemi på dokumenttype "Chapter"

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    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Standards Ethics Legal Implications Challenges of Artificial Intelligence 

      Keprate, Arvind; Chauhan, Sanjana (Chapter; Peer reviewed; Conference object, 2022)
      We are moving towards an era of automation and technological revolution with Artificial Intelligence (AI) at its core. There is no doubt that AI has created commercial value across various industries such as e-commerce, ...

    • 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 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 ...

    • 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 ...