Earticle

초록

영어

Understanding a building’s ambiance and user’s preferences and then providing corresponding comfort is substantial in a smart home environment. In this work, we aim to design a model for an intelligent system (building) controller whose intelligence is adaptation, in changing situations, according to the preferences of occupants without their intervention. Adaptation, according to Humphreys is: “If a change occurs such as to produce discomfort, people react in ways which tend to restore their comfort”. Therefore, our adaptive system restores comfort to the occupants based on their preferences, it has the ability to self-regulate and adapt to the climate conditions in buildings. In order to use adaptive control a model of the building is necessary and predictive control is very important because it includes a model for future disturbances. The starting point of this work was the modeling of multisensory comfort, and, the dynamic and adaptive behavior of an occupant with his environment. A key element was to find a way to model these adaptive actions. To achieve our goal, we used Bayesian networks that are powerful tools for decision and reasoning under uncertainty.

목차

Abstract
 1. Introduction
 2. Background
  2.1. Smart Home
  2.2. Components of the Intelligent Building
  2.3. Multisensory Comfort:
  2.4. Models of Comfort
 3. Computational Intelligence in Smart Home
 4. Proposed Adaptive System Overview
  4.1. Experimental Data Set
  4.2. Proposed Bayesian Model Construction
  4.3. Interactions Prediction
  4.4. The Correlation between the Multi-Sensorial Comfort and Specific Ambiances
  4.5. The Correlation between Specific Ambiances and Objects
  4.6. Results and Validation
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Sid Ahmed Mokhtar MOSTEFAOUI [ Department of Computer Science, USTO-MB University, Oran BP 1505 El M’naouer Bir El Djir 31000, Algeria ]
• Lynda Zaoui [ Department of Computer Science, USTO-MB University, Oran BP 1505 El M’naouer Bir El Djir 31000, Algeria ]
• Lahcene AID [ Department of Computer Science, USTO-MB University, Oran BP 1505 El M’naouer Bir El Djir 31000, Algeria ]

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