A Design of IoT Based Contextual Adaptation Management System

Hyunjoong Kang, Soonhyun Kwon, Jaehak Yu, Woong-Shik You
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Abstract

We propose a method to intelligently provide benefits to people based on data collected in IoT environment through contextual adaptation. Through this method, it is possible to connect and abstract the results of human learning and machine learning, and to provide more dynamic and flexible services by constructing a system that can learn again based on abstracted results.
基于物联网的情境自适应管理系统设计
我们提出了一种基于物联网环境中收集的数据,通过上下文适应,智能地为人们提供利益的方法。通过这种方法,可以将人类学习和机器学习的结果进行连接和抽象,并通过构建一个基于抽象结果可以再次学习的系统来提供更加动态和灵活的服务。
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