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http://dx.doi.org/10.6109/jkiice.2017.21.9.1771

Situation-specific Task Control System based on Real-time Data Classification  

Song, Hyunok (Department of Computer Engineering, Paichai University)
Kim, Hakjin (Industry-academic Cooperation Foundation, Paichai University)
Jung, Hoekyung (Department of Computer Engineering, Paichai University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.9, 2017 , pp. 1771-1776 More about this Journal
Abstract
Recently, IoT(Internet of Things) has been utilized in various fields provide a service to users by configuring a smart environment in a particular place. However, since the existing system does not change the operation and the task of the device according to the change of the surrounding environment, the user must operate passively every time the environment and the situation change. In this paper, we propose Situation-specific Task Control System based on real-time data classification. Sensor data is sent to the server and classified into real-time and non-real-time data, and then inserted into the decision tree to identify tasks according to the situation. In addition, the danger situation is divided into two stages, such as gas leakage and fire, and a warning message is sent. Therefore, it is possible to reduce the waste of electric power and the occurrence of malfunction, and it can be expected that the service with increased work efficiency will be provided.
Keywords
Decision tree; IoT; Real-time data; Sensor; Task Control;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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