<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Under the Hood: Using Raspberry Pis and WiFis to Do More with Data</dc:title><dc:creator>Hardy, Lisa; Lewandowski, Matthew</dc:creator><dc:corporate_author/><dc:editor/><dc:description>With our partners at Manylabs, we are developing Dataflow, a browser-based application that (unlike other IoT platforms) not only lets students collect and view sensor data, but also allows them to write programs that transform that data to control physical actuators. Dataflow uses Raspberry Pis as WiFi-enabled devices that can execute these control programs because they are inexpensive but powerful computers. The Pis run a client program that reads data from all USB-connected sensors, runs student programs, and sets the states of USB-connected actuators.</dc:description><dc:publisher/><dc:date>2018-10-01</dc:date><dc:nsf_par_id>10126334</dc:nsf_par_id><dc:journal_name>@Concord</dc:journal_name><dc:journal_volume>22</dc:journal_volume><dc:journal_issue>2</dc:journal_issue><dc:page_range_or_elocation>14</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/</dc:doi><dcq:identifierAwardId>1640054</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>