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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Bien, Franklin | - |
| dc.contributor.author | Kim, Taehwan | - |
| dc.date.accessioned | 2025-04-04T13:48:19Z | - |
| dc.date.available | 2025-04-04T13:48:19Z | - |
| dc.date.issued | 2025-02 | - |
| dc.description.abstract | This research presents an AI-based smart air quality management system integrating air purification, environmental monitoring, plant cultivation, and natural fragrance functions. The system employs water filter-based purification and achieves 97.3% measurement accuracy, with AI-driven control providing personalized recommendations based on real-time analysis. Key innovations include color therapy modes for psychological well-being and a natural fragrance system with 1.5m effective radius. The system demonstrates advancement in indoor air management through its eco-friendly approach and comprehensive integration of environmental and psychological features. Future developments will focus on enhanced AI algorithms and IoT connectivity. This research contributes to smart home technology by presenting a sustainable solution for indoor air quality management. | - |
| dc.description.degree | Master | - |
| dc.description | Master Degree in Information & Communication Technology (ICT) Convergence | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/86382 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000861876 | - |
| dc.language | ENG | - |
| dc.publisher | Ulsan National Institute of Science and Technology | - |
| dc.subject | air cleaner | - |
| dc.subject | plant cultivator | - |
| dc.subject | air quality monitoring | - |
| dc.subject | plant air freshener | - |
| dc.subject | water filter | - |
| dc.title | Development and Performance Evaluation of AI-based Multi-functional Smart Air Quality Management System | - |
| dc.type | Thesis | - |
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