스마트 홈 시스템의 효과적인 운영을 위한 계층적 업무 네트워크 계획 코드 자동생성 방법
Automatic Generation of HTN Planning Code for Effective Operation of Smart Home System
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초록
스마트 홈 시스템의 자동화 제어 시스템기술과 전자기기들은 사용자의 정보를 바탕으로 맞춤형 서비스를 가능하게한다. 스마트 홈은 사용자를 위해 가전제품들을 결합하여 서비스를 제공한다. 사람은 상황과 다양한 조건에 따라 목표를 달성하기 위한 행동을 결정한다. 본 논문에서는 온톨로지와 사례기반 추론, 계층적 업무 네트워크 계획(HTN Planning)을 사용하여 사람의 결정을 할 때의 생각과 같은 방법으로 스마트 홈 시스템의 효과적인 운영을 위한 방법을 제안한다. 본 논문에서는 TV시청 모드, 편안함 모드, 휴식 모드의 3가지 시나리오를 실험에 사용하였다. 3가지 시나리오를 활용한 실험에서는 상황을 인지하고 구성하기 위한 온톨로지, 업무의 범위와 운영을 위한 유사한 사례를 찾기 위한 사례기반 추론, 마지막으로 사용자의 요구사항과 정보를 위한 효율적인 계층적 업무 네트워크 계획결과를 제공한다.
Abstract
It is possible to automate the operation of a smart home system with the help of technologies and equipment that provide customized services based on the person’s information. Smart home provides services by combining home appliances which are configured for a user. A person determines the actions that need to be taken in order to meet a goal based on the context, situation and various conditions. In this paper, using Ontology, Case-based Reasoning, HTN (Hierarchical task network) Planning, we propose a process to deliver results for the effective operation of smart home domains which is similar to human thinking. We have three scenarios: Watching TV mode, Comfortable mode and Rest mode. The results of the scenarios include ontology which helps recognizing the context, Case-based Reasoning which finds order and scope in tasks and HTN planning which provides effective result for user’s requirements and information
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