A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system

Local Exhaust Ventilation (LEV) systems can afford a very efficient means of exposure control. Ventilation is a practical system for controlling the air quality and thermal exposure that the employees meet. Ventilation can be used to eliminate air contaminant from breathing district of the employees...

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Main Author:	Nor Hafizah, Abd Rauf
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2012
Subjects:	TH Building construction
Online Access:	http://umpir.ump.edu.my/id/eprint/17686/ http://umpir.ump.edu.my/id/eprint/17686/ http://umpir.ump.edu.my/id/eprint/17686/1/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/17686/2/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/17686/13/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/17686/19/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20References.pdf

id	ump-17686
recordtype	eprints
spelling	ump-176862017-05-12T06:20:55Z http://umpir.ump.edu.my/id/eprint/17686/ A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system Nor Hafizah, Abd Rauf TH Building construction Local Exhaust Ventilation (LEV) systems can afford a very efficient means of exposure control. Ventilation is a practical system for controlling the air quality and thermal exposure that the employees meet. Ventilation can be used to eliminate air contaminant from breathing district of the employees. Local Exhaust Ventilation (LEV) is employ to eliminate contaminants that are generated at a local supply. Air is drawn from a source at a rate competent of eliminating any air contaminants generated at that supply before they can be dispersed into the work surroundings. There is a problem with conventional method in measuring the LEV, which is time consuming. The conventional method is tedious because it takes longer time to measure the LEV. The objective of this research is to introduce new approach of LEV monitoring practice (Mahalanobis Distance recognition). By using Mahalanobis Distance (MD) with Excel Based Programmed, the method in measuring LEV will be easier and faster. It is believe that this new method is one of the first attempts to evaluate LEV performance by using multi-dimensional approach. 2012-01 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17686/1/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Table%20of%20contents.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17686/2/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17686/13/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17686/19/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20References.pdf Nor Hafizah, Abd Rauf (2012) A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system. Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:67417&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	TH Building construction
spellingShingle	TH Building construction Nor Hafizah, Abd Rauf A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system
description	Local Exhaust Ventilation (LEV) systems can afford a very efficient means of exposure control. Ventilation is a practical system for controlling the air quality and thermal exposure that the employees meet. Ventilation can be used to eliminate air contaminant from breathing district of the employees. Local Exhaust Ventilation (LEV) is employ to eliminate contaminants that are generated at a local supply. Air is drawn from a source at a rate competent of eliminating any air contaminants generated at that supply before they can be dispersed into the work surroundings. There is a problem with conventional method in measuring the LEV, which is time consuming. The conventional method is tedious because it takes longer time to measure the LEV. The objective of this research is to introduce new approach of LEV monitoring practice (Mahalanobis Distance recognition). By using Mahalanobis Distance (MD) with Excel Based Programmed, the method in measuring LEV will be easier and faster. It is believe that this new method is one of the first attempts to evaluate LEV performance by using multi-dimensional approach.
format	Undergraduates Project Papers
author	Nor Hafizah, Abd Rauf
author_facet	Nor Hafizah, Abd Rauf
author_sort	Nor Hafizah, Abd Rauf
title	A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system
title_short	A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system
title_full	A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system
title_fullStr	A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system
title_full_unstemmed	A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system
title_sort	study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/17686/ http://umpir.ump.edu.my/id/eprint/17686/ http://umpir.ump.edu.my/id/eprint/17686/1/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/17686/2/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/17686/13/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/17686/19/A%20study%20on%20abnormal%20pattern%20recognition%20using%20mahalanobis%20distance%20for%20local%20exhaust%20ventilation%20system%20-%20References.pdf
first_indexed	2023-09-18T22:24:34Z
last_indexed	2023-09-18T22:24:34Z
_version_	1777415880379990016

A study on abnormal pattern recognition using mahalanobis distance for local exhaust ventilation system

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