Automation techniques for intelligent environments

Author

Parker, Gary B. ; Alpert, David T.

Author_Institution

Dept. of Comput. Sci., Connecticut Coll., New London, CT, USA

fYear

2012

fDate

14-17 Oct. 2012

Firstpage

202

Lastpage

207

Abstract

This work involves learning the use schedule of an academic building in order to intelligently control various aspects of the environment. Motion sensors are used to monitor and record the activity of each of the rooms in the building. After a basic preprocessing of the data, a Cyclic Genetic Algorithm (CGA) is used to pick out the patterns of use of the rooms. The CGA is seen as ideal for such a problem because of its ability to find repetitive cyclic patterns in the data. Our results show that a CGA has the ability to pick out such patterns and construct a schedule of use for a room.

Keywords

building management systems; genetic algorithms; intelligent control; scheduling; sensors; CGA; academic building; activity record; automation techniques; building rooms; cyclic genetic algorithm; intelligent control; intelligent environments; motion sensors; repetitive cyclic data patterns; Artificial intelligence; Biological cells; Genetic algorithms; Intelligent sensors; Schedules; Sensor systems; ambient intelligence; behavioral modeling; evolutionary computation; genetic algorithm; smart houses;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on

Conference_Location

Seoul

Print_ISBN

978-1-4673-1713-9

Electronic_ISBN

978-1-4673-1712-2

Type

conf

DOI

10.1109/ICSMC.2012.6377700

Filename

6377700