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By using sensors to sense the environment and genetic programming to
evolve images, this thesis explores two methods for developing smart
pictures that can be integrated with a living space. The system
presented senses the weather and indoor conditions, displays current
weather and forecast information retrieved from the web, and displays
genetically evolved images. Sensing the weather not only provides the
user with information they might find useful, but also allows the
computer to gain a better understanding of the user which in turn
allows the computer to respond more accurately. Genetic programming
allows the computer to better respond to its environment by evolving
Undergraduate Honors Thesis. Advisor: Daniela Rus.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
Marisa E. Kolodny, "Computers, Art and Smart Rooms: A Smart Picture Frame that Senses the Weather and Genetically Evolves Images." Dartmouth Computer Science Technical Report PCS-TR99-354, June 1999.
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