https://github.com/mgrub/phd_sensor_simulation

Implementation and Documentation of consensus network calibration simulations
https://github.com/mgrub/phd_sensor_simulation

Last synced: 10 days ago
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Implementation and Documentation of consensus network calibration simulations

• Host: GitHub
• URL: https://github.com/mgrub/phd_sensor_simulation
• Owner: mgrub
• License: apache-2.0
• Created: 2023-07-31T08:34:22.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-31T09:27:02.000Z (over 1 year ago)
• Last Synced: 2023-07-31T11:30:28.297Z (over 1 year ago)
• Language: Python
• Size: 310 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Simulation environment to test, compare and evaluate multiple co-calibration methods

## Run a given scenario

A scenario can be configured and then multiple methods are applied to the same configuration.

```bash

python evaluation_runner.py experiments/scenario_A/

```

## Visualize results of a scenario

Once run, the results can be visualized:

```bash

python visualization_runner.py experiments/scenario_A/

```

## Define a scenario

A scenario is defined inside a `config.json`, which stores information about the

- random state

- reference sensors

- device under test

- measurand

- sensor readings

- methods to be used

All options can also be loaded from an existing (i.e. from a previous run, to achieve or manipulate a specific setting).

## Define a method

Available methods are defined in `method_args/.json`.

- class name (as used in the actual source `cocalibration_methods.py`)

- arguments to initialize the class