THE MACHINE LEARNING CONCEPT FOR AN INCLINATION SENSOR
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Czech University Life Sciences Prague
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In 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.
Açıklama
6th International Conference on Trends in Agricultural Engineering (TAE) -- SEP 07-09, 2016 -- Czech Univ Life Sci, Fac Engn, Prague, CZECH REPUBLIC
Anahtar Kelimeler
Machine Learning, Inclination Sensor, Acceleration Sensor, Arduino, Weka, Inclination Balancing System
Kaynak
Proceeding Of 6th International Conference On Trends In Agricultural Engineering 2016
WoS Q Değeri
N/A
