Earticle

초록

영어

ReferencesUser should monitor the home network environment periodically so to maintain his optimal conditions.
User should also collect the information about the environments of electronic devices within home network, analyze them through learning algorithm and seize the disposition of user under the collected information. In addition, after seizing the disposition of user, home network should be controlled to provide optimal environment to user through continuous monitoring. And more enhanced services that can analyze users' pattern of behaviors and reflect individual tendency in the service should be offered so that users can obtain the information they want much faster. Thus, an intellectual control model will be discussed herein, which can offer active service based on a pattern of users' behaviors, in order to suggest a device that predicts users' activities and operates in a more intelligent way.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1 EPC(Electronic Product Code)
  2.2 Context Conceptualization
  2.3 Constitution technique for RecommendationSystem
  2.4 Home Network System based on the RFID
 3. Proposed System
  3.1 Design of Profiling Agent
  3.2 Pattern analyze agent of User behavior
  3.3 Context modeling Agent
 4. Active Service Algorithm for User ActionPrediction
 5. Simulation and the Test
  5.1 Environment for Realization
  5.2 Preferred Simulation
 6. Analysis Evaluation
 7. Conclusion and further study

키워드

저자

• KyungSang Sung [ Dept of Computer Science, Kyung-won University ]
• Wonshik Na [ Dept. of General Education Course, Namseoul University ]
• Kun-Soo Oh [ Department of Architecture, Namseoul University ]
• HaeSeok Oh [ Dept of Computer Science, Kyung-won University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605