Staff View: Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction

Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction

This project is based on determining the water quality as poor water quality can also pose a health risk for ecosystems. Water quality is measured by several factors, such as potential of hydrogen (pH), the concentration of dissolved oxygen (DO), bacteria levels, the amount of salt (or salinity), or...

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Main Author:	Nurul Najihah, Mohd Radzi
Format:	Undergraduates Project Papers
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/39902/1/EA18091_NURUL%20NAJIHAH%20MOHD%20RADZI_Thesis%20-%20Nurul%20Najihah.pdf http://umpir.ump.edu.my/id/eprint/39902/
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spelling	my.ump.umpir.399022024-01-08T08:19:49Z http://umpir.ump.edu.my/id/eprint/39902/ Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction Nurul Najihah, Mohd Radzi TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This project is based on determining the water quality as poor water quality can also pose a health risk for ecosystems. Water quality is measured by several factors, such as potential of hydrogen (pH), the concentration of dissolved oxygen (DO), bacteria levels, the amount of salt (or salinity), or the amount of material suspended in the water (turbidity). In this project, we more focus on the pH of water as it given more impact on determine the quality of water. In this research, we focus on measuring water quality parameters of University Malaysia of Pahang main lake (3.5431680, 103.4355621). Water quality criteria are being measured and analyses to determine the state of the lake. As we monitor the water quality measurement especially the pH value, we notice that the speed of water flow also manipulates the value of pH water. Collect large set of data which comprises of five location, four of the locations pH are used to determine the fifth location pH. To predict the lake water quality, we are using fitness function that has been formulate using Multi-Layer Neural Network by Genetic Algorithm (MLNN-GA) and compare the results in terms of accuracy of prediction. The collected data is split into two which are training and testing data. The training data will keep being inserted until the best weightage for each data is obtained. The best weightage will be used to test the testing data and acquired the prediction value. The results of prediction will be compared with the actual pH value. The results of prediction obtained by predicted data pH with speed with 94.27% compared with predicted data without speed with only 93.83%. The result shown that speed is one of the factor that contribute to pH prediction. 2022-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39902/1/EA18091_NURUL%20NAJIHAH%20MOHD%20RADZI_Thesis%20-%20Nurul%20Najihah.pdf Nurul Najihah, Mohd Radzi (2022) Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction. College of Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Nurul Najihah, Mohd Radzi Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction
description	This project is based on determining the water quality as poor water quality can also pose a health risk for ecosystems. Water quality is measured by several factors, such as potential of hydrogen (pH), the concentration of dissolved oxygen (DO), bacteria levels, the amount of salt (or salinity), or the amount of material suspended in the water (turbidity). In this project, we more focus on the pH of water as it given more impact on determine the quality of water. In this research, we focus on measuring water quality parameters of University Malaysia of Pahang main lake (3.5431680, 103.4355621). Water quality criteria are being measured and analyses to determine the state of the lake. As we monitor the water quality measurement especially the pH value, we notice that the speed of water flow also manipulates the value of pH water. Collect large set of data which comprises of five location, four of the locations pH are used to determine the fifth location pH. To predict the lake water quality, we are using fitness function that has been formulate using Multi-Layer Neural Network by Genetic Algorithm (MLNN-GA) and compare the results in terms of accuracy of prediction. The collected data is split into two which are training and testing data. The training data will keep being inserted until the best weightage for each data is obtained. The best weightage will be used to test the testing data and acquired the prediction value. The results of prediction will be compared with the actual pH value. The results of prediction obtained by predicted data pH with speed with 94.27% compared with predicted data without speed with only 93.83%. The result shown that speed is one of the factor that contribute to pH prediction.
format	Undergraduates Project Papers
author	Nurul Najihah, Mohd Radzi
author_facet	Nurul Najihah, Mohd Radzi
author_sort	Nurul Najihah, Mohd Radzi
title	Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction
title_short	Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction
title_full	Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction
title_fullStr	Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction
title_full_unstemmed	Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction
title_sort	formulation of fitness function to predict ph value of adjacent block via ph value, water flow speed and direction
publishDate	2022
url	http://umpir.ump.edu.my/id/eprint/39902/1/EA18091_NURUL%20NAJIHAH%20MOHD%20RADZI_Thesis%20-%20Nurul%20Najihah.pdf http://umpir.ump.edu.my/id/eprint/39902/
_version_	1822924036527620096
score	13.235318

Formulation Of Fitness Function To Predict Ph Value Of Adjacent Block Via Ph Value, Water Flow Speed And Direction

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