Optimal sampling strategy of COD sensor
85 p.
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sg-ntu-dr.10356-390772023-07-04T15:26:56Z Optimal sampling strategy of COD sensor Yao, Li. Cai Wenjian School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering 85 p. Chemical Oxygen Demand (COD) which reflects the total pollution load of waste water or industrial waste is considered to be one of the most important parameters in waste water and waste chemical treatment processes. However, the determination of COD is very difficult which needs at least 2 hours by the standard method. Therefore, the development of a simple, accurate, yet fast COD determination method is very significant for the environmental monitoring and control. Master of Science (Computer Control and Automation) 2010-05-21T04:40:06Z 2010-05-21T04:40:06Z 2007 2007 Thesis http://hdl.handle.net/10356/39077 application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Yao, Li. Optimal sampling strategy of COD sensor |
description |
85 p. |
author2 |
Cai Wenjian |
author_facet |
Cai Wenjian Yao, Li. |
format |
Theses and Dissertations |
author |
Yao, Li. |
author_sort |
Yao, Li. |
title |
Optimal sampling strategy of COD sensor |
title_short |
Optimal sampling strategy of COD sensor |
title_full |
Optimal sampling strategy of COD sensor |
title_fullStr |
Optimal sampling strategy of COD sensor |
title_full_unstemmed |
Optimal sampling strategy of COD sensor |
title_sort |
optimal sampling strategy of cod sensor |
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2010 |
url |
http://hdl.handle.net/10356/39077 |
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1772827679029985280 |