The machine learning concept for an inclination sensor

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dc.authorscopusid56103456200
dc.contributor.authorİrsel G.
dc.date.accessioned2024-06-12T10:29:32Z
dc.date.available2024-06-12T10:29:32Z
dc.date.issued2016
dc.description6th International Conference on Trends in Agricultural Engineering 2016, TAE 2016 -- 7 September 2016 through 9 September 2016 -- -- 128604en_US
dc.description.abstractIn this study, it is aimed to create a sensor which may be able to learn with artificial intelligence. The sensor constituted is an industrial inclination sensor. Due to centrifugal force and/or shocking impacts, inclination sensors may have incorrect measurements. Decree of action that causes this error however has been measured by an acceleration sensor. It has been intended to remedy and correct the error of inclination and obtain a usable inclination data. Acceleration sensor, inclination sensor, data logger card have been installed on a platform. Inclination and acceleration values have been simultaneously observed and recorded. Data have been analyzed with WEKA Machine Learning Program. Rules obtained have been used as code in “Arduino”. Thus, using the machine learning technique, and with the support of arduino programming card, a system which transforms measurements of inclination and acceleration sensor to utilizable inclination measurement value has been achieved. © 2016 Czech University of Life Sciences Prague. All Rights Reserved.en_US
dc.identifier.endpage237en_US
dc.identifier.isbn9.78802E+12
dc.identifier.scopus2-s2.0-85051712347en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage230en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/17808
dc.identifier.volume2016-Septemberen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCzech University of Life Sciences Pragueen_US
dc.relation.ispartofTAE 2016 - Proceedings of 6th International Conference on Trends in Agricultural Engineering 2016en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAcceleration Sensor; Arduino; Inclination Balancing System; Inclination Sensor; Machine Learning; Wekaen_US
dc.subjectAcceleration; Agricultural Engineering; Agriculture; Artificial Intelligence; Acceleration Sensors; Arduino; Balancing System; Inclination Sensors; Weka; Learning Systemsen_US
dc.titleThe machine learning concept for an inclination sensoren_US
dc.typeConference Objecten_US

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