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  • 1.
    Hafner, Sasha
    et al.
    Aarhus University, Denmark.
    Mjöfors, Kristina
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    STM: A software tool for predicting daily temperature in stored animal slurry2023In: SoftwareX, E-ISSN 2352-7110, Vol. 22, article id 101354Article in journal (Refereed)
    Abstract [en]

    Animal slurry (liquid manure) is a significant source of air pollution. Because the biological and chemical processes that drive emission are sensitive to temperature, there is a need for simple tools that can be used to predict the temperature of stored animal slurry for both emissions inventories and research. In this contribution we describe a heat transfer model and an open-source software implementation that addresses these limitations. The model is a simple mechanistic representation of the slurry-environment system, and the software includes a default parameter set developed from a combination of theory and fitting to measurements made at three concrete tanks in Sweden, and evaluated using measurements from two additional tanks. This contribution describes the model and software program and presents examples. © 2023 The Author(s)

  • 2.
    Mukha, T.
    et al.
    Uppsala University, Sweden.
    Liefvendahl, M.
    Uppsala University, Sweden; FOI, Sweden.
    Eddylicious: A Python package for turbulent inflow generation2018In: SoftwareX, E-ISSN 2352-7110, Vol. 7, p. 112-114Article in journal (Refereed)
    Abstract [en]

    A Python package for generating inflow for scale-resolving computer simulations of turbulent flow is presented. The purpose of the package is to unite existing inflow generation methods in a single code-base and make them accessible to users of various Computational Fluid Dynamics (CFD) solvers. The currently existing functionality consists of an accurate inflow generation method suitable for flows with a turbulent boundary layer inflow and input/output routines for coupling with the open-source CFD solver OpenFOAM. 

  • 3.
    Oikonomou, George
    et al.
    University of Bristol, UK.
    Duquennoy, Simon
    RISE Research Institutes of Sweden. Inria Lille, Framce.
    Elsts, Atis
    Institute of Electronics and Computer Science, Latvis.
    Eriksson, Joakim
    RISE Research Institutes of Sweden, Digital Systems, Data Science.
    Tanaka, Yasuyuki
    Toshiba Corporate Research and Development Center, Japan.
    Tsiftes, Nicolas
    RISE Research Institutes of Sweden, Digital Systems, Data Science.
    The Contiki-NG open source operating system for next generation IoT devices2022In: SoftwareX, E-ISSN 2352-7110, Vol. 18, article id 101089Article in journal (Refereed)
    Abstract [en]

    Contiki-NG (Next Generation) is an open source, cross-platform operating system for severely constrained wireless embedded devices. It focuses on dependable (reliable and secure) low-power communications and standardised protocols, such as 6LoWPAN, IPv6, 6TiSCH, RPL, and CoAP. Its primary aims are to (i) facilitate rapid prototyping and evaluation of Internet of Things research ideas, (ii) reduce time-to-market for Internet of Things applications, and (iii) provide an easy-to-use platform for teaching embedded systems-related courses in higher education. Contiki-NG started as a fork of the Contiki OS and retains many of its original features. In this paper, we discuss the motivation behind the creation of Contiki-NG, present the most recent version (v4.7), and highlight the impact of Contiki-NG through specific examples. © 2022 The Authors

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