Development of Simulation to Support IoT and Neuromorphic System

Abstract

In this paper, we designed and implemented a simulation of an integrated development environment that supports IoT and neuromorphic systems. When we ask the server for information using Node.js about a component written in a webbased client, the server passes the data to the client in the form of a text file and builds a simulator based on the received data. The components provided by the server are classified into two types according to the characteristics of the IoT and neuromorphic system. The first I-component is an IoT-enabled component and receives the output value of the sensor in real time. The second Xcomponent and the NA component are intelligent components that support the neuromorphic system. It loads the data set, trains the component for object recognition and classification, and evaluate it and displays the results. Probe components can be connected to any point except the final output to determine the value at that point. It can be set the type, time, simulation widget and more in the properties of each component to effectively visualize the changing values by graphs, images, and audio through simulators.