FPGA Based FNN for Accidental Fire Alarming System in a Smart Room

Abstract: The main objective of the paper is to design and develop the Fuzzy Neural Network for increasing the efficiency of an application which is controlled by optimizing the area and power parameters based on FPGA. Fuzzy reasoning can express the qualitative aspect of human logic. It realizes the flexible reasoning corresponding to human logical reasoning, extensive research has been conducted into fuzzy reasoning. This paper describes the design and implementation of FNN for an embedded system for enhancing the performance using cognitive knowledge where in the proposed system a smoke sensor and a fire sensor is used to maintain the safety of a smart room driven by an FNN, where in an alarming system gives alarm for the safety measures and cuts off main power supply to avoid short circuits which may lead to huge destructions to property and lives .The paper describes the shortfalls of the different methods and the present technology are investigated to find out the advancements of new system. Also to analyse the scope for the performance enhancements with respect to present system. New architecture is simulated using Modelsim and Implemented on Spartan III FPGA and tested to reduce the power consumption and area on chip for the given system.

Keywords: Fuzzy Neural Network, Smart room, cognitive knowledge, Human logical reasoning, Fuzzy reasoning, Xilinx Spartan III FPGA, Modelsim