A Study on the Establishment of Odor Management System in Gangwondo Traditional Market

• 영문명: A Study on the Establishment of Odor Management System in Gangwondo Traditional Market
• 발행기관: 한국웰빙융합학회
• 저자명: 정민재 윤광열 김상렬 김수혜
• 간행물 정보: 『웰빙융합연구』Vol.6 No.2, 27~31쪽, 전체 5쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2023.06.30

영문 초록

Purpose: Establishment of a real-time monitoring system for odor control in traditional markets in Gangwon-do and a system for linking prevention facilities. Research design, data and methodology: Build server and system logic based on data through realtime monitoring device (sensor-based). A temporary data generation program for deep learning is developed to develop a model for odor data. Results: A REST API was developed for using the model prediction service, and a test was performed to find an algorithm with high prediction probability and parameter values optimized for learning. In the deep learning algorithm for AI modeling development, Pandas was used for data analysis and processing, and TensorFlow V2 (keras) was used as the deep learning library. The activation function was swish, the performance of the model was optimized for Adam, the performance was measured with MSE, the model method was Functional API, and the model storage format was Sequential API (LSTM)/HDF5. Conclusions: The developed system has the potential to effectively monitor and manage odors in traditional markets. By utilizing real-time data, the system can provide timely alerts and facilitate preventive measures to control and mitigate odors. The AI modeling component enhances the system's predictive capabilities, allowing for proactive odor management.

목차

1. Introduction

2. Research Methods and Materials

3. Results and Discussion

4. Conclusions

References

키워드

Odor Sensor arrays AI Deep learning