Detecting and identification system about water environmental pollutant based on fluorescence theory

Shutao Wang; Yanyan Cui; Chuan Zhang; Liang Huang; Zhao Pan; Zhongdong Wang

doi:10.1007/978-3-642-19853-3_24

Detecting and identification system about water environmental pollutant based on fluorescence theory

Shutao Wang
, Yanyan Cui
, Chuan Zhang
, Liang Huang
, Zhao Pan
, Zhongdong Wang

Yanshan University
University in Beijing

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

Abstract

This system mainly adapted a new fluorescent technique to monitor oil pollutant in water. And the problem was solved that fluorescent signal which obtain wealthy of information, but weak signal intensity, it used the method which combine fiber optical sensor technology with linear CCD in spectrum detecting application. In signal processing, the MATLAB program was apply to analyze three-dimensional fluorescent spectrum, including PCA algorithm and NNLS algorithm

Original language	English
Title of host publication	Information and Automation - International Symposium, ISIA 2010, Revised Selected Papers
Pages	166-171
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-19853-3_24
State	Published - 2011
Externally published	Yes
Event	2010 International Symposium on Information and Automation, ISIA 2010 - Guangzhou, China Duration: 10 Nov 2010 → 11 Nov 2010

Publication series

Name	Communications in Computer and Information Science
Volume	86 CCIS
ISSN (Print)	1865-0929

Conference

Conference	2010 International Symposium on Information and Automation, ISIA 2010
Country/Territory	China
City	Guangzhou
Period	10/11/10 → 11/11/10

Keywords

CCD
Fluorescence
NNLS
PCA

Access to Document

10.1007/978-3-642-19853-3_24

Cite this

Wang, S., Cui, Y., Zhang, C., Huang, L., Pan, Z., & Wang, Z. (2011). Detecting and identification system about water environmental pollutant based on fluorescence theory. In Information and Automation - International Symposium, ISIA 2010, Revised Selected Papers (pp. 166-171). (Communications in Computer and Information Science; Vol. 86 CCIS). https://doi.org/10.1007/978-3-642-19853-3_24

@inproceedings{069bd6c4e1d9421397771237b299503e,

title = "Detecting and identification system about water environmental pollutant based on fluorescence theory",

abstract = "This system mainly adapted a new fluorescent technique to monitor oil pollutant in water. And the problem was solved that fluorescent signal which obtain wealthy of information, but weak signal intensity, it used the method which combine fiber optical sensor technology with linear CCD in spectrum detecting application. In signal processing, the MATLAB program was apply to analyze three-dimensional fluorescent spectrum, including PCA algorithm and NNLS algorithm",

keywords = "CCD, Fluorescence, NNLS, PCA",

author = "Shutao Wang and Yanyan Cui and Chuan Zhang and Liang Huang and Zhao Pan and Zhongdong Wang",

year = "2011",

doi = "10.1007/978-3-642-19853-3\_24",

language = "英语",

isbn = "9783642198526",

series = "Communications in Computer and Information Science",

pages = "166--171",

booktitle = "Information and Automation - International Symposium, ISIA 2010, Revised Selected Papers",

note = "2010 International Symposium on Information and Automation, ISIA 2010 ; Conference date: 10-11-2010 Through 11-11-2010",

}

Wang, S, Cui, Y, Zhang, C, Huang, L, Pan, Z & Wang, Z 2011, Detecting and identification system about water environmental pollutant based on fluorescence theory. in Information and Automation - International Symposium, ISIA 2010, Revised Selected Papers. Communications in Computer and Information Science, vol. 86 CCIS, pp. 166-171, 2010 International Symposium on Information and Automation, ISIA 2010, Guangzhou, China, 10/11/10. https://doi.org/10.1007/978-3-642-19853-3_24

Detecting and identification system about water environmental pollutant based on fluorescence theory. / Wang, Shutao; Cui, Yanyan; Zhang, Chuan et al.
Information and Automation - International Symposium, ISIA 2010, Revised Selected Papers. 2011. p. 166-171 (Communications in Computer and Information Science; Vol. 86 CCIS).

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

TY - GEN

T1 - Detecting and identification system about water environmental pollutant based on fluorescence theory

AU - Wang, Shutao

AU - Cui, Yanyan

AU - Zhang, Chuan

AU - Huang, Liang

AU - Pan, Zhao

AU - Wang, Zhongdong

PY - 2011

Y1 - 2011

N2 - This system mainly adapted a new fluorescent technique to monitor oil pollutant in water. And the problem was solved that fluorescent signal which obtain wealthy of information, but weak signal intensity, it used the method which combine fiber optical sensor technology with linear CCD in spectrum detecting application. In signal processing, the MATLAB program was apply to analyze three-dimensional fluorescent spectrum, including PCA algorithm and NNLS algorithm

AB - This system mainly adapted a new fluorescent technique to monitor oil pollutant in water. And the problem was solved that fluorescent signal which obtain wealthy of information, but weak signal intensity, it used the method which combine fiber optical sensor technology with linear CCD in spectrum detecting application. In signal processing, the MATLAB program was apply to analyze three-dimensional fluorescent spectrum, including PCA algorithm and NNLS algorithm

KW - CCD

KW - Fluorescence

KW - NNLS

KW - PCA

UR - https://www.scopus.com/pages/publications/79955391344

U2 - 10.1007/978-3-642-19853-3_24

DO - 10.1007/978-3-642-19853-3_24

M3 - 会议稿件

AN - SCOPUS:79955391344

SN - 9783642198526

T3 - Communications in Computer and Information Science

SP - 166

EP - 171

BT - Information and Automation - International Symposium, ISIA 2010, Revised Selected Papers

T2 - 2010 International Symposium on Information and Automation, ISIA 2010

Y2 - 10 November 2010 through 11 November 2010

ER -

Detecting and identification system about water environmental pollutant based on fluorescence theory

Abstract

Publication series

Conference

Keywords

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