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Search: (hsv:(NATURVETENSKAP) hsv:(Data och informationsvetenskap) hsv:(Datavetenskap datalogi)) conttype:(scientificother) > (2020-2021)

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1.
  • Sodhro, Ali Hassan, 1986-, et al. (author)
  • Internet of medical things for independent living and re-learning
  • 2021
  • In: GLOBAL HEALTH 2021 : The Tenth International Conference on Global Health Challenges At: Barcelona, Spain. - 9781612088921 ; , s. 1-5, s. 1-5
  • Conference paper (other academic/artistic)abstract
    • This position paper gives better insight about the role and importance of Internet of Medical Things (IoMT) for independent living and re-learning for older adults. Sensing Technologies are the paradigm shift for transforming conventional healthcare practices into the smart, and self-assisted activities, which are envisioned for today's medical world. Internet of Things (IoT) and IoMT are the interrelated technologies for promoting independent living and re-learning practices. In this paper, re-learning is defined as the process for adults to recover useful instrumental activities of daily living skills that have been lost after an impairment.
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2.
  • Wang, Qinghua, et al. (author)
  • Smart Sewage Water Management and Data Forecast
  • 2021
  • In: 33rd Workshop of the Swedish Artificial Intelligence Society, SAIS 2021. - USA : Institute of Electrical and Electronics Engineers (IEEE). - 9781665442367
  • Conference paper (other academic/artistic)abstract
    • There is currently an ongoing digital transformation for sewage and wastewater management. By automating data collection and enabling remote monitoring, we will not only be able to save abundant human resources but also enabling predictive maintenance which is based on big data analytics. This paper presents a smart sewage water management system which is currently under development in southern Sweden. Real-time data can be collected from over 500 sensors which have already been partially deployed. Preliminary data analysis shows that we can build statistical data models for ground water, rainfall, and sewage water flows, and use those models for data forecast and anomaly detection.
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