A Review of Modelling Visual Attention using Computational Cognitive Neuroscience for Machine Vision

Abstract: Heat exchangers are an essential ingredient in a wide range of industrial applications. During the heat exchanger process, the temperature of the liquid changes in different ranges. Controlling the temperature changing range and achieving the desired temperature is a difficult process. Various controlling techniques are used to control the temperature changes of liquid heating system. In this paper, Neural Network (NN) based controller and Fuzzy Logic Controller (FLC) is used to achieve the desired liquid temperature. Initially, the error temperature and change of error temperature of a liquid heating system is determined. Then, the temperature variation is applied separately to FLC and NN-based controller. Then based on the controller output, the Automatic Control Valve (ACV) is adjusted till the desired temperature is reached. The proposed system is tested in real time environment and the output performances are evaluated.

Keywords: Water Heating System, Heat Exchanger, Fuzzy Logic Controller, NN Controller (NFC), Desire Temperature.