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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 6 Issue 4, April 2017
Context and Fuzzy Inference System for Home Customization
Neha A. Kabade | N. A. Mhetre 
Abstract: Embedded System is often used to handle the real time system. Embedded system handles different hardware. Now a days, Micro-controllers based embedded system are common in use. Embedded system technology can use to develop the Smart home which is sub domain of Internet of Things (IoT). Smart home is necessity of todays fast life style. To handle the home in smarter way there are different sensors and actuators are deployed in home which are used to learn the home, surrounding environment as well as human behavior. Many systems are developed previously but fails to handle multiple incoming context and in making the decision. In this paper, proposed system uses Fuzzy Inference System (FIS) for decision making which improves the performance of the system. Prototype system is developed using smart phone, low cost sensors as well as electronic devices. Raspberry pi 3 plays important role in this system. FIS system is overall used to handle incoming context from sensor as well as for the decision making which gives the accurate response to particular devices which are connected to this system. In this way this system helps to customize the home.
Keywords: Embedded system, FIS, Internet of things, Sensors, Smart home, Raspberry pi
Edition: Volume 6 Issue 4, April 2017,
Pages: 141 - 143
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