1. CELLULAR AUTOMATA RULES GENERATOR FOR MICROBIAL COMMUNITIES CALIFORNIA STATE UNIVERSITY, SAN BERNARDINO SCHOOL OF COMPUTER SCIENCE & ENGINEERING By Melissa Quintana

3. Current Research Dr. Penelope Boston Explorations of extreme environments Microbiologist – Studies Microbial Communities Courtesy of Dr. Penelope Boston

4. Cellular Automata11011 001 0 = death 1 = life Total sum = 5 Rule : if total sum is 5 or less the cell state lives.110111 001

17. Importance of the Study Discover the rules without knowing the rules. Correlate the rules with patterns. Overall understanding of what and how much of the environmental factors contribute to the results of the growth.

18. Visual Identification 1-3435-50 Life Death Water Soil Biomass Weather Randomness Over-crowding Correlate the rules with the patterns with an understanding of the surrounding environmental factors. AirSediments (animals, plants)Hot and Cold Temperatures

19. Thesis Project Three Phases – Phase One Testing Calculations Identifying the Radius of effect – Phase Two Identifying an approximation of the Rules – Phase Three Identifying an approximation of the Rules from pictures Samples – Cellular Automata – Pictures SciLab

53. Program Output Live State 0-1 Dead State 1-0 Stable State 1-1 Stable State 0-0

55. 3rd Phase – Using Pictures

56. Image Preparation Paint – Clip and Resize pictures – Resize according to the radius Scilab Image Processing toolbox – Converts the image into a matrix – [Apr1999]=imread('C:\program files\scilab- 4.1.2\contrib\siptoolbox\images\April_1999_Color_W106xH103.jpg') 0.340.210.110.420.12 0.190.110.130.220.19 0.110.13 0.440.12 0.490.33 0.290.330.190.210.22 0.390.210.130.340.46 0.220.44 0.360.19 0.340.17

73. 4 th Program - Output Live State 0-1 Dead State 1-0 Stable State 1-1 Stable State 0-0

74. Picture Rules Live State 0-1 Dead State 1-0 Stable State 0-0 Pictures Live1 - 49 Die17-50 Stable State 1-1

76. Future Studies Future Research – Compare all series comparisons Missing rules – More samples What should represent a series? Long Term Goals – Correlate the rules with patterns – Aid in ongoing efforts

81. Visual Identification 1-3435-50 Life Death Water Soil Biomass Weather Randomness Over-crowding Correlate the rules with the patterns with an understanding of the surrounding environmental factors. AirSediments (animals, plants)Hot and Cold Temperatures

82. Conclusion Learning more about microbial communities and supporting other’s in their efforts will enable us to equip ourselves with knowledge to be used when the opportunity for future endeavors arise.

83. Committee Members Dr. Keith Schubert Dr. Richard Botting Dr. Ernesto Gomez Melissa Quintana quintanm@coyote.csusb.edu