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Journal Article 지능형 후각 센서
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Authors
이대식, 안창근, 김봉규, 표현봉, 김진태, 허철, 김승환
Issue Date
2019-08
Citation
전자통신동향분석, v.34, no.4, pp.76-88
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2019.J.340408
Abstract
With advances in olfactory sensor technologies, the number of reports on various intelligent applications using multiple sensors (sensor arrays) are continuously increasing for fields such as medicine, environment, security, etc. For intelligent and point-of-care applications, it is not only important for the sensor technology to perform chemical or physical measurements rapidly and accurately, but it is also important for artificial intelligence technology to recognize and quantify specific chemicals or diagnose diseases such as lung cancer and diabetes. In particular, great advances in pattern recognition technologies, including deep learning algorithms, as well as sensor array technologies, are expected to enhance the potential of various types of olfactory intelligence applications, including early cancer diagnosis, drug seeking, military operations, and air pollution monitoring.
KSP Keywords
Air pollution monitoring, Artificial intelligence technology, Lung cancer, Military operations, Olfactory sensor, Pattern recognition, Physical measurements, Point-of-care, Sensor Technology, Sensor array, deep learning(DL)
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: