AQuaMoHo : Localized Low-cost Outdoor Air Quality Sensing over a Thermo-hygrometer

Author:

Pramanik Prithviraj1ORCID,Karmakar Prasenjit2ORCID,Sharma Praveen Kumar3ORCID,Chatterjee Soumyajit2ORCID,Roy Abhijit1ORCID,Mandal Santanu1ORCID,Nandi Subrata1ORCID,Chakraborty Sandip2ORCID,Saha Mousumi1ORCID,Saha Sujoy1ORCID

Affiliation:

1. NIT Durgapur, India

2. IIT Kharagpur, India

3. ITER SOA Bhubaneswar, India

Abstract

Efficient air quality sensing serves as one of the essential services provided in any recent smart city. Mostly facilitated by sparsely deployed Air Quality Monitoring Stations (AQMSs) that are difficult to install and maintain, the overall spatial variation heavily impacts air quality monitoring for locations far enough from these pre-deployed public infrastructures. To mitigate this, we in this article propose a framework named AQuaMoHo that can annotate data obtained from a low-cost thermo-hygrometer (as the sole physical sensing device) with the AQI labels, with the help of additional publicly crawled Spatio-temporal information of that locality. At its core, AQuaMoHo exploits the temporal patterns from a set of readily available spatial features using an LSTM-based model and further enhances the overall quality of the annotation using temporal attention. From a thorough study of two different cities, we observe that AQuaMoHo can significantly help annotate the air quality data on a personal scale.

Funder

IntAirSense: Intelligent Air Pollution Monitoring for Smart Cities using Low-Cost Sensors

Dept. of Higher Education, Science & Technology and Biotechnology (DHESTBT), Government of West Bengal, India

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Reference56 articles.

1. 2002. Measurement of PM10 particles. Retrieved from https://projects.nilu.no/ccc/manual/documents/03_15-Measurementofpm10particles.htm.

2. 2018. How air pollution is destroying our health. Retrieved from https://www.who.int/news-room/spotlight/how-air-pollution-is-destroying-our-health.

3. 2021. Aeroqual: Air Quality Monitoring Equipment. Retrieved from https://www.aeroqual.com/.

4. 2021. AirBeam: Share & Improve Your Air. Retrieved from https://www.kickstarter.com/projects/741031201/airbeam-share-and-improve-your-air.

5. 2021. Measure PM and CO2 Temp Humidity with Airveda Monitors: Breathe Well. Retrieved from http://www.airveda.com/.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India;ACM Journal on Computing and Sustainable Societies;2024-08-02

2. Efficient Air Quality Index Prediction on Resource-Constrained Devices using TinyML: Design, Implementation, and Evaluation;Proceedings of the 25th International Conference on Distributed Computing and Networking;2024-01-04

3. Real-Time Air Quality Predictions for Smart Cities using TinyML;Proceedings of the 25th International Conference on Distributed Computing and Networking;2024-01-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3