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NOAA-CHAMP Environmental Information Synthesizer for Expert Systems (EISES)

Home Page: https://www.coral.noaa.gov/research/crews-icon.html

Python 9.21% BlitzBasic 69.78% Jupyter Notebook 21.02%
python expert-systems artificial-intelligence coral-reefs oceanography

eises's Introduction

About EISES

The EISES coding project has been separated into four subsections of the software to be implemented. These sections of the program are, in procedural order: data feed processing, fact generation, rule evaluation , and alert distribution (see below). [insert image here]

Current Functionality

Future Applications


EISES Development Checklist:

( todo: โฌœ, in progress: ๐Ÿ”จ, completed โœ”๏ธ)

Last Updated: 10/08/2019

Data Processing:

โœ”๏ธ 1. Compile a testing data set to use when adapting EISES to be used in PE project.

Testing data: โœ”๏ธ OBS data
โœ”๏ธ ABS data
โœ”๏ธ Light attenuation (surface light and underwater light if possible)
โœ”๏ธ Deposition
โœ”๏ธ Waves
โœ”๏ธ Ocean Current information

๐Ÿ”จ 2. Adapt EISES's data loading scripts, and fact class definitions to accept information from these types on sensors.

๐Ÿ”จ 3. Adapt EISES's parsers to get data from thredds server and/or parse csv file types.

๐Ÿ”จ waiting to get copy of csv file format.

Fact Generation:

Rule Evaluation:

Alert Distribution:

๐Ÿ”จ 1. Create use-case/design document based on testing Alert request list (X/J).
โฌœ 2. Review possible design/development of alert distribution and web-based archives.

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