Ⅰ. Background and Objectives of the Research
oResearch objectives: establishment of an Environmental Issue Monitoring System
ㅇStrengthening data collection, processing, and transmission functions in the environmental policy monitoring system
ㅇEnsuring effective communication of analytical results from existing algorithms by the end of 2023 research period
ㅇConstruction of an integrated pollution prediction algorithm, real-time environmental text analysis algorithm, and question-centric database composition. Analytical results are communicated through web services and newsletter distribution.

o2023 research goal: development of analytical tools essential for environmental issue monitoring
ㅇ Integrated prediction of environmental pollution
-Periodic iteration of environmental pollutant concentration prediction
ㅇ Question-centric database
-List of major environmental issues: periodic update of data analysis related to issues
-Understanding existing data: complementing data research in the form of issue-related analysis
ㅇ Real-time environmental text analysis algorithm
-Construction of an integrated environmental text analysis tool web service
-Environmental text collection automation, algorithm reconfiguration, and integration for text analysis
ㅇ Environmental big data analysis newsletter distribution
-Construction of an integrated environmental text analysis tool web service
-Environmental text collection automation, algorithm reconfiguration, and integration
　
Ⅱ.Building a Deep Learning-Based Green Algae Prediction Pipeline for MLOps
o Research objectives
ㅇThe need to