{"id":127,"date":"2020-12-08T09:59:00","date_gmt":"2020-12-08T07:59:00","guid":{"rendered":"https:\/\/sites.uef.fi\/envi\/?page_id=127"},"modified":"2023-11-13T13:04:15","modified_gmt":"2023-11-13T11:04:15","slug":"environmental-health-technology","status":"publish","type":"page","link":"https:\/\/sites.uef.fi\/envi\/research\/environmental-health-technology\/","title":{"rendered":"Environmental Health Technology"},"content":{"rendered":"\n

In environmental health technology, we combine both state-of-the-art measurement technology and data analytics, to provide services capable of, for instance, anomaly detection, event recognition, and situational awareness. In this field, we merge both linear and non-linear modeling techniques with semantic technologies to produce knowledge out of time series data. The application examples include indoor and outdoor air quality monitoring and prediction, noise measurement and modeling, and predicting cardiovascular diseases. We have also been involved in developing Covid-19 -modeling.<\/p>\n\n\n\n

The projects include:<\/p>\n\n\n\n

    \n
  1. High-quality Measurement Infrastructure for Future Resilient Control Systems (FResCo, 2013-2015)<\/li>\n\n\n\n
  2. Information technology pathways to accelerated scientific discovery from avalanche of meteorological and environmental data and models (PATHWAY, 2012-2014)<\/li>\n\n\n\n
  3. Acoustic intelligence and surveillance system, (AKU, 2012-2014)<\/li>\n\n\n\n
  4. Multipurpose Development Platform for Monitoring Applications \u2013 case agile acoustic sensors (Monet, 2011-2013)<\/li>\n\n\n\n
  5. Measurement, Monitoring and Environmental Assessment (MMEA, 2010-2015)<\/li>\n\n\n\n
  6. Modeling Methods For Situation Awareness (TiTiMaKe, 2009-2011)<\/li>\n\n\n\n
  7. Commecializing a moniroting system for energy efficiency and healthy housing, (AsTEKa, 2009-2010)<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    In environmental health technology, we combine both state-of-the-art measurement technology and data analytics, to provide services capable of, for instance, anomaly detection, event recognition, and situational awareness. In this field, we merge both linear and non-linear modeling techniques with semantic technologies to produce knowledge out of time series data. The application examples include indoor and […]<\/p>\n","protected":false},"author":402,"featured_media":0,"parent":81,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-127","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nEnvironmental Health Technology - Environmental Informatics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/envi\/research\/environmental-health-technology\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Environmental Health Technology - Environmental Informatics\" \/>\n<meta property=\"og:description\" content=\"In environmental health technology, we combine both state-of-the-art measurement technology and data analytics, to provide services capable of, for instance, anomaly detection, event recognition, and situational awareness. 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