Fine-grained air quality monitoring based on gaussian process regression

Yun Cheng; Xiucheng Li; Zhijun Li; Shouxu Jiang; Xiaofan Jiang

doi:10.1007/978-3-319-12640-1_16

Fine-grained air quality monitoring based on gaussian process regression

Yun Cheng
, Xiucheng Li
, Zhijun Li
, Shouxu Jiang
, Xiaofan Jiang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 Scopus citations

Abstract

Air quality is attracting more and more attentions in recent years due to the deteriorating environment, and PM_2.5 is the main contaminant in a lot of areas. Existing softwares that report the level of PM_2.5 can provide only the value in the city level, which may indeed varies greatly among different areas in the city. To help people know about the exact air quality around them, we deployed 51 carefully designed devices to measure the PM_2.5 at these places and present a Gaussian Process based inference model to estimate the value at any place. The proposed method is evaluated on the real data and compared to some related methods. The experimental results prove the effectiveness of our method.

Original language	English (US)
Title of host publication	Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings
Editors	Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh, Kaizhu Huang
Publisher	Springer Verlag
Pages	126-134
Number of pages	9
ISBN (Electronic)	9783319126395
DOIs	https://doi.org/10.1007/978-3-319-12640-1_16
State	Published - 2014
Externally published	Yes
Event	21st International Conference on Neural Information Processing, ICONIP 2014 - Kuching, Malaysia Duration: Nov 3 2014 → Nov 6 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8835
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	21st International Conference on Neural Information Processing, ICONIP 2014
Country/Territory	Malaysia
City	Kuching
Period	11/3/14 → 11/6/14

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Gaussian process
Non-linear regression
PM concentrationmonitoring

Publisher link

10.1007/978-3-319-12640-1_16

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Cheng, Y., Li, X., Li, Z., Jiang, S., & Jiang, X. (2014). Fine-grained air quality monitoring based on gaussian process regression. In C. K. Loo, K. S. Yap, K. W. Wong, A. Teoh, & K. Huang (Eds.), Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings (pp. 126-134). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8835). Springer Verlag. https://doi.org/10.1007/978-3-319-12640-1_16

Fine-grained air quality monitoring based on gaussian process regression. / Cheng, Yun; Li, Xiucheng; Li, Zhijun et al.
Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. ed. / Chu Kiong Loo; Keem Siah Yap; Kok Wai Wong; Andrew Teoh; Kaizhu Huang. Springer Verlag, 2014. p. 126-134 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8835).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cheng, Y, Li, X, Li, Z, Jiang, S & Jiang, X 2014, Fine-grained air quality monitoring based on gaussian process regression. in CK Loo, KS Yap, KW Wong, A Teoh & K Huang (eds), Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8835, Springer Verlag, pp. 126-134, 21st International Conference on Neural Information Processing, ICONIP 2014, Kuching, Malaysia, 11/3/14. https://doi.org/10.1007/978-3-319-12640-1_16

Cheng Y, Li X, Li Z, Jiang S, Jiang X. Fine-grained air quality monitoring based on gaussian process regression. In Loo CK, Yap KS, Wong KW, Teoh A, Huang K, editors, Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Springer Verlag. 2014. p. 126-134. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-12640-1_16

Cheng, Yun ; Li, Xiucheng ; Li, Zhijun et al. / Fine-grained air quality monitoring based on gaussian process regression. Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. editor / Chu Kiong Loo ; Keem Siah Yap ; Kok Wai Wong ; Andrew Teoh ; Kaizhu Huang. Springer Verlag, 2014. pp. 126-134 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Fine-grained air quality monitoring based on gaussian process regression

Abstract

Publication series

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Bibliographical note

UN SDGs

Keywords

Publisher link

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