<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>34763</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>12</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>24</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation>TU Dresden, HZDR – Helmholtz-Zentrum Dresden-Rossendorf, German Aerospace Center (DLR)</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-12-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">DATIV—remote enhancement of smart aerosol measurement system using raspberry Pi-based distributed sensors</title>
    <abstract language="eng">Enclosed public spaces are hotspots for airborne disease transmission. To measure and maintain indoor air quality in terms of airborne transmission, an open source, low cost and distributed array of particulate matter sensors was developed and named Dynamic Aerosol Transport for Indoor Ventilation, or DATIV, system. This system can use multiple particulate matter sensors (PMSs) simultaneously and can be remotely controlled using a Raspberry Pi-based operating system. The data acquisition system can be easily operated using the GUI within any common browser installed on a remote device such as a PC or smartphone with a corresponding IP address. The software architecture and validation measurements are presented together with possible future developments.</abstract>
    <parentTitle language="eng">Sensors</parentTitle>
    <identifier type="url">https://www.mdpi.com/1424-8220/24/13/4314</identifier>
    <identifier type="doi">10.3390/s24134314</identifier>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="RelationnotEU">DFG EG100/36-1, SCHR1165/6- 1, the Rectorate for Research and Transfer of the BTU Cottbus-Senftenberg,  the Initiative and Networking Fund of the Helmholtz Association of German Research Centres (HGF) under the CORAERO project</enrichment>
    <enrichment key="BTUfunderNamenotEU">German Research Foundation (DFG)</enrichment>
    <enrichment key="Artikelnummer">4314</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <firstName>Gazi</firstName>
      <lastName>Hasanuzzaman</lastName>
    </author>
    <submitter>
      <firstName>Gazi</firstName>
      <lastName>Hasanuzzaman</lastName>
    </submitter>
    <author>
      <firstName>Tom</firstName>
      <lastName>Buchwald</lastName>
    </author>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Schunk</lastName>
    </author>
    <author>
      <firstName>Andreas</firstName>
      <lastName>Schröder</lastName>
    </author>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Egbers</lastName>
    </author>
    <author>
      <firstName>Uwe</firstName>
      <lastName>Hampel</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Aerosol transport, indoor ventilation, sensors, measurement, aerodynamics</value>
    </subject>
    <collection role="institutes" number="3501">FG Aerodynamik und Strömungslehre</collection>
    <collection role="institutes" number="3521">FG Bildgebende Messverfahren</collection>
  </doc>
</export-example>
