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  • 1.
    Jones, Grace
    et al.
    Ashtown Research Centre, Ireland.
    Ulan, Maria
    RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
    Liziniewicz, Mateusz
    Skogforsk The Forest Research Institute of Sweden, Sweden.
    Lindeberg, Johan
    Linnaeus university, Sweden.
    Adamopoulos, Stergios
    SLU Swedish University of Agricultural Sciences, Sweden.
    Relating estimates of wood properties of birch to stem form, age and species2024In: Journal of Forestry Research, ISSN 1007-662X, E-ISSN 1993-0607, Vol. 35, no 1, article id 14Article in journal (Refereed)
    Abstract [en]

    Birch has long suffered from a lack of active forest management, leading many researchers to use material without a detailed management history. Data collected from three birch (Betula pendula Roth, B. pubescens Ehrh.) sites in southern Sweden were analyzed using regression analysis to detect any trends or differences in wood properties that could be explained by stand history, tree age and stem form. All sites were genetics trials established in the same way. Estimates of acoustic velocity (AV) from non-destructive testing (NDT) and predicted AV had a higher correlation if data was pooled across sites and other stem form factors were considered. A subsample of stems had radial profiles of X-ray wood density and ring width by year created, and wood density was related to ring number from the pith and ring width. It seemed likely that wood density was negatively related to ring width for both birch species. Linear models had slight improvements if site and species were included, but only the youngest site with trees at age 15 had both birch species. This paper indicated that NDT values need to be considered separately, and any predictive models will likely be improved if they are specific to the site and birch species measured. © 2023, The Author(s).

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  • 2.
    Ulan, Maria
    et al.
    RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
    Söderman, Mikael
    RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
    Ahlström, Bodil
    RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
    AI-baserad säkerhet på byggarbetsplatser2023Report (Other academic)
    Abstract [sv]

    AI-baserad säkerhet på byggarbetsplatser har varit ett ett-årigt projekt som genomförts för att förbättra säkerheten på anläggnings- och byggarbetsplatser genom användning av AI-teknologi. Projektet har varit ett samarbete mellan RISE Research Institutes of Sweden, NCC, Ramirent, Skanska och Viscando. Målet var att identifiera och analysera risker på arbetsplatserna med hjälp av sensorer och AI-modeller för att kunna förutsäga farliga situationer och utveckla lösningar för att förbättra säkerheten. Genom observationer, intervjuer och datainsamling med 3D-sensorer analyserades beteendemönster och riskområden på utvalda byggarbetsplatser. Resultaten användes sedan för att  kommunicera och utveckla konkreta lösningar för att minska riskerna. Rapporten ger en översikt av metodologin, datainsamlings- och analysprocessen samt betonar vikten av att förstå både teknologins möjligheter och begränsningar för att skapa en säkrare arbetsmiljö på byggarbetsplatser. 

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