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A Reference Architecture for Machine Learning-Based Autonomous Systems
http://doi.org/10.5626/JOK.2020.47.4.368
Autonomous computing is one of the essential factors for realizing the fourth industrial revolution and a future technology that provides capabilities of autonomous recognition, autonomous judgement, autonomous planning, and autonomous management with automatic systems. With the advent of various sensors and IoT devices, a rich set of context data can be acquired from the environment, and autonomous system technologies with human-machine interface (HMI) enabling the realization of an eco-system wherein a system itself can maintain its best quality by using the acquired context data. However, because of the highly complicated functional and non-functional requirements for realizing autonomous systems, developing such systems becomes more difficult and development productivity becomes much lower. In the paper, we present a reference architecture which can be commonly applied to autonomous systems. The proposed reference architecture includes architecture design, core components, main algorithm, and so on. The reference architecture forms a structural basis of the target system and can guarantee the overall quality and improve development efficiency by reusing the core structure of the reference architecture. Additionally, we apply the reference architecture to two autonomous systems and verify the applicability and practicability of the reference architecture.
Semantic Web-based Gateway System for Providing Autonomous Context-Aware Service in IoT Environment
http://doi.org/10.5626/JOK.2019.46.7.706
With the rapid growth of the IoT (Internet of Things) market, seamless connection between independently developed platforms has become an important issue. In addition, research is underway on auto-configuration to minimize human interference while configuring devices for users to utilize IoT applications. However, to realize fully autonomous systems, the machine should be able to perform autonomous interaction between devices by recognizing the context as well as autoconfiguration. In this paper, we propose a semantic Web-based gateway system for providing autonomous context-aware service in IoT environment. The proposed system autonomously performs inter-device interaction by recognizing the state of the device and user-defined rules. Through the real-world implementation, we verify the feasibility of the proposed system.
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