Cover Image

Pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network

Link to publisher's homepage at http://www.myiem.org.my/

Saved in:
Bibliographic Details
Main Authors: Siti Rozaimah, Sheikh Abdullah, Pasilatun Adawiyah, Ismail, Mohd. Marzuki, Mustafa, Rakmi, Abd. Rahman
Other Authors: rozaimah@vlsi.eng.ukm.my
Format: Article
Language:English
Published: The Institution of Engineers, Malaysia 2011
Subjects:
Coagulation-flocculation
Fractal dimension
Neural networks
Pattern recognition
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13658
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-13658
record_format dspace
spelling my.unimap-136582011-09-04T07:04:36Z Pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network Siti Rozaimah, Sheikh Abdullah Pasilatun Adawiyah, Ismail Mohd. Marzuki, Mustafa Rakmi, Abd. Rahman rozaimah@vlsi.eng.ukm.my Coagulation-flocculation Fractal dimension Neural networks Pattern recognition Link to publisher's homepage at http://www.myiem.org.my/ The optimum chemical dosage is presumably the goal of every chemical water or wastewater treatment plant as in a coagulation-flocculation process. However, due to difficulties in on line measurement and complexity of chemical reaction, the optimum dosage is very hard to be determined by conventional methods. This paper presents a new low cost sensor to measure size changes of flocs that are being formed during a coagulation flocculation process by measuring fractal dimensions. It is based on real time images of flocs that are being captured during the coagulation-flocculation process. A neural network model using Matlab version 6 (The Mathworks Inc., U.S.) was developed in order to recognise the general pattern of fractal profiles in a coagulation-flocculation process of wastewater. Back propagation neural networks (BPN), which are a type of feed-forward networks, with 10 neuron on an input layer, 1 neuron on an output layer, 16 neurons on a hidden layer were used with log sigmoid activation functions. In this BPN model, the gradient descent momentum was used to minimize the errors. The training and testing of such networks were based on input output data from real-time experimental runs on the coagulation-flocculation process. The network converged with 7181 epoch. The developed neural gave good recognition performance with 95% success rate. 2011-09-04T07:04:36Z 2011-09-04T07:04:36Z 2007-12 Article The Journal of the Institution of Engineers, Malaysia, vol. 68(4), 2007, pages 17-19 0126-513X http://myiem.org.my/content/iem_journal_2007-178.aspx http://hdl.handle.net/123456789/13658 en The Institution of Engineers, Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Coagulation-flocculation
Fractal dimension
Neural networks
Pattern recognition
spellingShingle Coagulation-flocculation
Fractal dimension
Neural networks
Pattern recognition
Siti Rozaimah, Sheikh Abdullah
Pasilatun Adawiyah, Ismail
Mohd. Marzuki, Mustafa
Rakmi, Abd. Rahman
Pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network
description Link to publisher's homepage at http://www.myiem.org.my/
author2 rozaimah@vlsi.eng.ukm.my
author_facet rozaimah@vlsi.eng.ukm.my
Siti Rozaimah, Sheikh Abdullah
Pasilatun Adawiyah, Ismail
Mohd. Marzuki, Mustafa
Rakmi, Abd. Rahman
format Article
author Siti Rozaimah, Sheikh Abdullah
Pasilatun Adawiyah, Ismail
Mohd. Marzuki, Mustafa
Rakmi, Abd. Rahman
author_sort Siti Rozaimah, Sheikh Abdullah
title Pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network
title_short Pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network
title_full Pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network
title_fullStr Pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network
title_full_unstemmed Pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network
title_sort pattern recognition of fractal profiles in coagulation-flocculation process of wastewater via neural network
publisher The Institution of Engineers, Malaysia
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/13658
_version_ 1643790948900012032
score 13.214268

Similar Items