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arXiv 2012.15387eess.SYcs.SY
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Indoor Air Quality Improvement

Ajinkya Gawade, Aniket Sanap, Vishal Baviskar, Ryan Jahnige, Qingquan Zhang, Ting Zhu

英文摘要:

Poor indoor air quality can contribute to the development of various chronic respiratory diseases such as asthma, heart disease, and lung cancer. Since air quality is extremely difficult for humans to detect though sensory processing, there is a need for efficient ventilation systems that can provide a healthier environment. In this paper, we have designed an energy efficient ventilation system that predicts sensor occupancy patterns based on historical data to improve indoor air quality.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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