Authors : Dong-Soon Park, Hee- WanKim and Ung-Mo Kim
Abstract: In this study, we propose a prototype an effective implementation for internet of things used for monitoring tubiquitous sensing system.The description about the integrated network architecture and the interconnecting mechanisms for the reliable measurementof parameters by smart sensors and transmission of data via internet is being presented. The longitudinal learning system wasable to provide a self-control mechanism for better operation ofthe devices in monitoring stage. The Internet of Things (IoT) gets real. Already today, there are more connected devices than humans. In contrary, there is hardly any systematic research available that evaluates the capabilities of existing IoT platforms. This study contributes to the understanding of the current IoT platform landscape by reviewing six selected commercial IoT platforms and by inducing an architectural model which depicts the main building blocks of an IoT platform in a comprehensive way. The framework of the monitoring system is based on a combination of pervasive distributed sensing units, information system for data aggregation and reasoning and context awareness.
Dong-Soon Park, Hee- WanKim and Ung-Mo Kim, 2017. A prototype of Artificial Intelligent Application Model on IoT Platform. Journal of Engineering and Applied Sciences, 12: 2565-2569.