A Novel Framework of an IOT-Blockchain-Based Intelligent System

Algorithm 1

Process showing integration of software into smart system.

Start

 Data preprocessing

   Data cleaning

   Feature extraction

 Data fed in blocks

 Each block is connected with each other using rules (connector rules) to create a block chain

 Input into convolution layer (ReLU activation function)–larger layer–higher number of features

 Max pooling of outputs from convolution layer

 Input into convolution layer (ReLU activation function)–smaller layer–lesser number of features

 Max pooling of outputs from convolution layer

 Flatten output–squash and vectorize data

 Input into a fully connected neural network with softmax activation function

 Output

End