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Adaptive Home Automation System by Using Smart Phone Based Artificial Intelligent | ||
| Journal of University of Babylon | ||
| Article 1, Volume 26, Issue 2, 2018, Pages 1-14 | ||
| Authors | ||
| Osama Qasim Jumah Al-Thahab; Sara Abbas Radhi | ||
| Abstract | ||
| The system of Home Automation consider nowadays as a promise technology for living a comfortable life and minimizing the cost of the user homeowner. The system might be accomplished by controlling the heating, ventilation, air conditioning, shading, and lightening. The energy consumed efficiency is get better also the protection system is exists. In this work, a Home Automation System is proposed, so that it performs automatically controlling to some of the appliances in the home. In addition, the proposed system will discover any undesirable movement or fire when the person is out of his home by taking a suitable decision instead of homeowner. The control unit uses a Smart Phone (Android Mobile). In this work, to gather readings of movements, heating, and lightening, a number of nodes are used (three nodes). Also a Microcontroller uses especial sensors to collect this information, after that sends them wirelessly through WIFI to the Smart Phone for manipulation and taking a convenience decision. Delta Neural Network Learning Rule is use for the first time as the intelligent algorithm to give the decisions for all the readings of sensors, so that it learned after 113259 which take 2280 seconds. In addition, it turns out the automated system to be further smart such that if there is fire or movement into the house, the application will distinguish if this movement for example dangerous or not. The mobile (through the application) then gives a command to send a message (GSM) to the homeowner (Police, or fire station) telling the new situation. Furthermore, the controlling of all convenient appliances at the home automatically for each state. JAVA Program is use for manipulation process, and then by employing Eclipse Juno IDE program it turn into to an android application that installed into the Mobile. The Microcontroller is Arduino with WIFI shield and Xbee. | ||
| Keywords | ||
| smart home system; home automation; android mobile; neural network; learning Rule | ||
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