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Metareasoning Approaches to Thermal Management During Image Processing

The execution and visualization code associated with my Master's Thesis.

There are five main scripts used for data generation.

  1. main.py : A shell script which defines which algorithms should be run, as well as what paramters the tests should use.
  2. program.py : The script which performs an individual test run with a given set of initial conditions. This corresponds to the psuedocode presented in Algorithm 1.
  3. metareasoning.py : The script which contains the three metareasoning approaches.
  4. q_learning.py : The script which contains the Q-Learning approach.
  5. auxiliary_functions.py : The script which contains the auxiliary functions used in the other scripts.

There are three additional scripts which are used to visualize the results of the tests.

  1. VisualizationV2.ipynb : The script which visualizes the results of the tests.
  2. ThesisVis.ipynb : A modified version of 'VisualizationV2.ipynb' which was used for my thesis. This is the script which works with the current data storage format.
  3. ThesisQVis.ipynb : A modified version of 'ThesisVis.ipynb' which was used for visulaizing the Q-Learning approach in my thesis.

Raspberry Pi 4B case designed by Manuel on Thingiverse.

© 2022 Michael K. Dawson Jr.