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JOURNAL OF SENSOR SCIENCE AND TECHNOLOGY - Vol. 34 , No. 1

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JOURNAL OF SENSOR SCIENCE AND TECHNOLOGY - Vol. 33, No. 3, pp. 185-185
Abbreviation: J. Sens. Sci. Technol.
ISSN: 1225-5475 (Print) 2093-7563 (Online)
Print publication date 31 May 2024
Received 06 Mar 2024 Revised 12 Mar 2024 Accepted 25 Mar 2024
DOI: https://doi.org/10.46670/JSST.2024.33.3.185
Erratum to “Machine Vision Platform for High-Precision Detection of Disease VOC Biomarkers Using Colorimetric MOF-Based Gas Sensor Array”
Junyeong Lee¹ ; Seungyun Oh² ; Dongmin Kim² ; Young Wung Kim³ ; Jungseok Heo²^{, +} ; Dae-Sik Lee¹^{, +}
1Electronics and Ttelecommunications Research Institute, Digital Convergence Research Laboratory, 218 Gajeong-no, Yuseong-gu, Daejeon, 34129, Korea
2Department of Chemistry, Chungnam National University, W11-2, 99 Daehak-ro, Yuseong-gu, Daejeon, 34134, Korea
3WENS, 1-204, 149-40, Yuram-ro, Dong-gu, Daegu, 41059, Korea


Correspondence to : ⁺jungseokheo@cnu.ac.kr, dslee@etri.re.kr
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(https://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.



The original version of this article (Vol. 33, No. 2, pp.112-116, http://dx.doi.org/10.46670/JSST.2024.33.2.112) contained an error in the acknowledgments.

Before Correction

감사의 글

이 논문은 과학기술정보통신부의 재원으로 한국연구재단 나노 및 소재기술개발사업 (NRF-2021M3H4A4079271)의 지원을 받아 수행된 연구임.

After Correction

감사의 글

본 논문은 과학기술정보통신부의 재원으로 한국연구재단 나노 및 소재기술개발사업 (NRF-2021M3H4A4079271)의 지원을 받아 수행된 연구입니다. 본 논문은 과학기술정보통신부의 재원으로 과학기술사업화진흥원의 지원을 받아 수행된 연구입니다 ('학연협력 플랫폼구축 시범사업' RS-2023-00304776).

REFERENCES


1.	J. Lee, S. Oh, D. Kim, Y. W. Kim, J. Heo, and D.-S. Lee, “Machine Vision Platform for High-Precision Detection of Disease VOC Biomarkers Using Colorimetric MOF-Based Gas Sensor Array”, J. Sens. Sci. Technol., Vol. 33, No. 2, pp. 112-116, 2024.

The Journal of Sensor Science and Technology is the official journal of the Korean Sensors Society