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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Son, Byungrak | - |
| dc.contributor.author | Cho, Changhak | - |
| dc.contributor.author | Son, Sujin | - |
| dc.contributor.author | Seul, Jin-hyun | - |
| dc.contributor.author | Jon, Yong Jun | - |
| dc.contributor.author | Kim, Bonghwan | - |
| dc.contributor.author | Byun, Taeyoung | - |
| dc.date.accessioned | 2025-09-04T16:10:11Z | - |
| dc.date.available | 2025-09-04T16:10:11Z | - |
| dc.date.created | 2025-05-26 | - |
| dc.date.issued | 2025-01-21 | - |
| dc.identifier.isbn | 9789819662913 | - |
| dc.identifier.issn | 1865-0937 | - |
| dc.identifier.uri | https://scholar.dgist.ac.kr/handle/20.500.11750/59029 | - |
| dc.description.abstract | This study introduces an innovative microalgae-based air purification system designed to enhance indoor air quality by capturing carbon dioxide (CO₂) and generating oxygen (O₂). The system integrates a 1.5 L photobioreactor with advanced control and monitoring features accessible via a smartphone application. The photobioreactor employs RGB-LED lighting and an air pump to facilitate optimal microalgae growth. The system autonomously adjusts light and airflow based on real-time data, reducing the need for user intervention. A smartphone app allows additional manual control while providing visual feedback on microalgae growth through a six-stage color tracking method. Simulations were conducted to evaluate system performance, demonstrating a CO₂ capture rate of up to 0.55g/L/day and an O₂ generation rate of approximately 0.20g/L/day—improvements of 22% and 25%, respectively, over previous studies. The IoT control system showed high reliability with a precision of 93%, recall of 91%, and F1-score of 92%. The results indicate that the proposed system effectively enhances air purification efficiency and offers a user-friendly approach to indoor environmental management. © 2025 Elsevier B.V., All rights reserved. | - |
| dc.language | English | - |
| dc.publisher | Kasersar University | - |
| dc.relation.ispartof | Communications in Computer and Information Science | - |
| dc.title | Development of a Smartphone-Integrated Microalgae Photobioreactor for CO₂ Capture and Oxygen Generation in Indoor Air Purification Systems | - |
| dc.type | Conference Paper | - |
| dc.identifier.doi | 10.1007/978-981-96-6291-3_8 | - |
| dc.identifier.scopusid | 2-s2.0-105011954558 | - |
| dc.identifier.bibliographicCitation | 13th International Conference on Ubi-Media Computing, Ubi-Media 2025, pp.101 - 110 | - |
| dc.identifier.url | https://2025umediaconf.com/ | - |
| dc.citation.conferenceDate | 2025-01-19 | - |
| dc.citation.conferencePlace | TH | - |
| dc.citation.conferencePlace | Bangkok | - |
| dc.citation.endPage | 110 | - |
| dc.citation.startPage | 101 | - |
| dc.citation.title | 13th International Conference on Ubi-Media Computing, Ubi-Media 2025 | - |