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    Öğe
    Automatic Garage Door System with Arduino For defined licence plates of cars
    (IEEE, 2018) Firat, Yelda; Ugurlu, Taskin
    Our life is kept under control and supervision at the same time as it gets easier with intelligent devices emerging with the technology of the century that we are in. One of these technologies is Arduino, a physical computing platform having a development environment for a simple microprocessor and software. Using Arduino, the signals from the various sensors can be read, the lights can be turned on and off, the engine can be started; in short, all electronic applications that might come to mind are possible. In this study, a garage door system which enables the car garage door to be opened and closed automatically according to the numbers of the identified car plates using the external hardware and software development environment via the Arduino platform, has been developed. In addition, while the garage door is moving down in case any entity approaches the door too close, the control of the door motor has been also considered as to provide the security through the sensor, remote controller and desktop software. This work designed specifically for the use of servo-motors scanning the angles of 360 degree also contributes to the next execution to be developed in order to create a safer system using face recognition technology.
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    Öğe
    Utility-scale solar photovoltaic hybrid system and performance analysis for eco-friendly electric vehicle charging and sustainable home
    (Taylor & Francis Inc, 2019) Firat, Yelda
    Electricity energy has a crucial importance role for social and economic developments all over the world. Nowadays, the worldwide generation of electricity mostly depends on conventional sources. These sources are limited in the environment and also responsible for ecological problems like environmental pollution. Renewable energy sources have important aspects such as feasibility, efficiency, and environment-friendly in comparison to conventional energy resources. In order to overcome environmental problems, this proposed study focuses on solar photovoltaic hybrid system for eco-friendly electric vehicle charging and house based on machine learning system. In order to realize numerical study, Homer Pro and PVSOL software are used. Various parameters of economic feasibility, sizing strategies with logical advancements, and optimization methods are numerically considered and analyzed to compare measurement one.