Control And Monitoring Of Controller Area Network Based Motor And Sensor Boards
Journal Title: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji - Year 2018, Vol 6, Issue 2
Abstract
Remote control system also can use to provide the control of devices that are used in industrial environments nowadays. In this study, three experimental modules and one master module have been developed by using Arduino development board. These modules include sensors and motors. Experimental modules are controlled remotely through Android based application software, running on a smart phone. Bluetooth technology is used for this application. The connection between the experimental modules and master module are provided with Controller Area Network. In this way, the sensor and motor data are transmitted by serial communication.
Authors and Affiliations
Kubilay Taşdelen, Mehmet Ali Şimşek, Ahmet Günaydın, Ecir Uğur Küçüksille
Design of Parallel Analog to Digital Converter Based on Darlington CMOS Inverter
This article presents a 4-bit parallel analog-to-digital converter was designed by using Darlington CMOS Inverter which is operated in accordance with CMOS threshold voltage. Thus, there is no need to use resistance arra...
Effect of Cutter Width on Shear Force during Grooving
In this paper contains the determination of the cutting forces with experimental measurements according to the variations in the cutting parameters during grooving operation to the outer surface and the effect of the ins...
Multiobjective Knapsack Problem with Equity Concerns
In this paper, a multi-objective mathematical modeling approach has been developed for resource distribution problem which has equity concerns. We assume that the preference model of the decision maker satisfies properti...
Array Feed Parabolic Reflector Antennas Design Having Low Near Sidelobe and Backlobe Levels
Antennas which are one of the most important components that designate the system characteristic in radar systems, nowadays have a substantial position in military as well as civil areas. Due to their narrow beamwidth an...
An Adaptive Noise Cancellation System Based on Linear and Widely Linear Complex Valued Least Mean Square Algorithms for Removing Electrooculography Artifacts from Electroencephalography Signals
In this study, an adaptive noise cancellation (ANC) system based on linear and widely linear (WL) complex valued least mean square (LMS) algorithms is designed for removing electrooculography (EOG) artifacts from electro...