Volumetric monitoring of airborne particulate matter concentration using smartphone-based digital holographic microscopy and deep learning
SCIE
SCOPUS
- Title
- Volumetric monitoring of airborne particulate matter concentration using smartphone-based digital holographic microscopy and deep learning
- Authors
- Kim, Jihwan; Go, Taesik; Lee, Sang Joon
- Date Issued
- 2021-09
- Publisher
- ELSEVIER
- Abstract
- Airborne particulate matter (PM) has become a global environmental issue. This PM has harmful effects on public health and precision industries. Conventional air-quality monitoring methods usually utilize expensive equipment, and they are cumbersome to handle for accurate and high throughput measurements. In addition, commercial particle counters have technical limitations in high-concentration measurement, and data fluctuations are induced during air sampling. In this study, a novel smartphone-based technique for monitoring airborne PM concentrations was developed using smartphone-based digital holographic microscopy (S-DHM) and deep learning network called Holo-SpeckleNet. Holographic speckle images of various PM concentrations were recorded by the S-DHM system. The recorded speckle images and the corresponding ground truth PM concentrations were used to train deep learning algorithms consisting of a deep autoencoder and regression layers. The performance of the proposed smartphone-based PM monitoring technique was validated through hyperparameter optimization. The developed S-DHM integrated with Holo-SpeckleNet can be smartly and effectively utilized for portable PM monitoring and safety alarm provision under perilous environmental conditions.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/113074
- DOI
- 10.1016/j.jhazmat.2021.126351
- ISSN
- 0304-3894
- Article Type
- Article
- Citation
- JOURNAL OF HAZARDOUS MATERIALS, vol. 418, 2021-09
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.