Extension of Rule-based SLICE Platform With Deep Learning Model
Hyunhak Kim, Young‐Ho Suh, Sungpil Woo, Dong-Hwan Park · 2020
The meaning of intelligent systems has changed over time. Traditionally, it refers to an intelligent ruled-based context aware system, but nowadays, it is more often referred to as a deep learning intelligent system. Since these two intelligent systems are still insufficient to be used separately, this paper try to integrate the intelligent module of deep learning on SLICE, which was introduced as a rule-based intelligent IoT platform that easily provides intelligent services. First, in this paper, the pros and cons of the existing rule-based engine and the deep learning-based intelligence model are examined. After that, how to combine the advantages of each is discussed. Finally, this paper shows that the proposed intelligent system integration can be used to design and implement a service more easily and quickly through a feasibility test and simple performance check with a low-cost general-purpose Raspberry Pi.