Poster: Towards Counterfeit Powdered Food Products Detection using a Commodity Smartphone-Reference-Cited by-同舟云学术

Poster: Towards Counterfeit Powdered Food Products Detection using a Commodity Smartphone

Published:2024-06-03 Issue: Volume: Page:640-641
ISSN:
Container-title:Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services
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Author:

Yun Jonghyuk¹²^ORCID,Lee Kyoosik³^ORCID,Lee Kichang²^ORCID,Sun Bangjie⁴^ORCID,Jeon Jaeho²^ORCID,Ko Jeonggil⁵⁶^ORCID,Hwang Inseok⁷⁸^ORCID,Han Jun¹^ORCID

Affiliation:

1. KAIST, Daejeon, Republic of Korea

2. Yonsei University, Seoul, Republic of Korea

3. POSTECH, Pohang, Republic of Korea

4. National University of Singapore, Singapore, Singapore

5. School of Integrated Technology, Yonsei University, Seoul, Republic of Korea

6. Graduate School of Artificial Intelligence, POSTECH, Pohang, Republic of Korea

7. Department of Computer Science and Engineering, POSTECH, Pohang, Republic of Korea

8. Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Incheon, Republic of Korea

Funder

National Research Foundation of Korea (NRF)

Institute of Information & Communications Technology Planning & Evaluation (IITP)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643832.3661398

Reference8 articles.

1. Tania Branigan. 2008. Chinese figures show fivefold rise in babies sick from contaminated milk. https://www.theguardian.com/world/2008/dec/02/china

2. Rapid detection of adulteration of goat milk and goat infant formulas using near-infrared spectroscopy fingerprints

3. Yongzhi Huang Kaixin Chen Yandao Huang Lu Wang and Kaishun Wu. 2021. Vi-liquid: unknown liquid identification with your smartphone vibration. In ACM MobiCom. 174--187.

4. Shan Juan. 2016. Authorities look for 3 300 cans of fake infant formula - China. https://www.chinadaily.com.cn/china/2016-04/09/content_24400556.htm

5. Sanjeewa R Karunathilaka, Betsy Jean Yakes, Keqin He, Jin Kyu Chung, and Magdi Mossoba. 2018. Non-targeted NIR spectroscopy and SIMCA classification for commercial milk powder authentication: A study using eleven potential adulterants. Heliyon 4, 9 (2018).