Industrial Internet of Things (IoT) Computational Architectures and Novel Neural Network for Smart Computing
Shrinivas Kulkarni, Anirban Guha · 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) · 2019
The exponential rise of computational power, in embedded systems, has enhanced the overall system level computational power. This would amplify many merits of digitalization revolution in the context of `Industry 4.0'. The applicational needs should be captured, while designing the computational architectures. These architectures should also be aligned to take advantage of technological emerging trends. This work proposes a distributed computational architecture and possible ways of implementing `Edge Intelligence'. A novel neural network architecture, integrating domain knowledge (DK), is proposed for smart computation, to leverage merits of edge intelligence.