Blar i NTNU Open på forfatter "Bråten, Anders Eivind"

Viser treff 1-8 av 8

    • Adaptive, Correlation-Based Training Data Selection for IoT Device Management 

      Bråten, Anders Eivind; Kraemer, Frank Alexander; Palma, David (Chapter, 2019)
      Device management can enhance large-scale deployments of IoT nodes in non-stationary environments by supporting prediction and planning of their energy budget. This increases their ability for perpetual operation and is a ...

    • Analysis and Visualization of Urban Emission Measurements in Smart Cities 

      Ahlers, Dirk; Kraemer, Frank Alexander; Bråten, Anders Eivind; Liu, Xiufeng; Anthonisen, Fredrik Valde; Driscoll, Patrick Arthur; Krogstie, John (Chapter, 2018)
      Cities worldwide aim to reduce their greenhouse gas emissions and improve air quality for their citizens. Therefore, there is a need to implement smart city approaches to monitor, model, and understand local emissions to ...

    • Autonomous IoT Device Management Systems: Structured Review and Generalized Cognitive Model 

      Bråten, Anders Eivind; Kraemer, Frank Alexander; Palma, David (Peer reviewed; Journal article, 2020)
      Research on autonomous management for large-scale deployments of constrained devices is still a maturing field in the Internet of Things (IoT). Although much research has been conducted on how to achieve autonomous management ...

    • Fog Computing in Healthcare – A Review and Discussion 

      Kraemer, Frank Alexander; Bråten, Anders Eivind; Tamkittikhun, Nattachart; Palma, David (Journal article; Peer reviewed, 2017)
      Fog computing is an architectural style in which network components between devices and the cloud execute application-specific logic. We present the first review on fog computing within healthcare informatics, and explore, ...

    • Operationalizing Solar Energy Predictions for Sustainable, Autonomous IoT Device Management 

      Kraemer, Frank Alexander; Palma, David; Bråten, Anders Eivind; Ammar, Doreid (Peer reviewed; Journal article, 2020)
      For sustainable Internet-of-Things (IoT) systems, the solar power prediction is an essential element to optimize performance, allowing devices to schedule energy-intensive tasks in periods with excess energy. In regions ...

    • ProtoMODL: En hybrid notasjon for å beskrive interaksjon i grafiske brukergrensesnitt 

      Bråten, Anders Eivind (Master thesis, 2006)
      Innenfor tradisjonell systemutvikling, der hovedfokuset har ligget på systemenes funksjonalitet, har UML og andre modellbaserte utviklingsmetoder hatt stor suksess. Til tross for mye forskning de siste to tiårene, har slike ...

    • ProtoMODL: En hybrid notasjon for å beskrive interaksjon i grafiske brukergrensesnitt 

      Bråten, Anders Eivind (Master thesis, 2006)
      Innenfor tradisjonell systemutvikling, der hovedfokuset har ligget på systemenes funksjonalitet, har UML og andre modellbaserte utviklingsmetoder hatt stor suksess. Til tross for mye forskning de siste to tiårene, har slike ...

    • Solar Energy Prediction for Constrained IoT Nodes based on Public Weather Forecasts 

      Kraemer, Frank Alexander; Ammar, Doreid; Bråten, Anders Eivind; Tamkittikhun, Nattachart; Palma, David (Chapter, 2017)
      Solar power is important for many scenarios of the Internet of Things (IoT). Resource-constrained devices depend on limited energy budgets to operate without degrading performance. Predicting solar energy is necessary for ...