Recipe generation of under fill process based on improved kernel regression and particle swarm optimization

The under fill process is a process that fills the gap between a chipset and a substrate using an epoxy material. The output of this process is a length of tongue that has to be controlled so it avoid touching the keep out zone. A recipe generation of the input parameters in the under fill process w...

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Main Author:	Othman, Mohd. Hafiz
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/33404/5/MohdHafizOthmanMFKE2012.pdf
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id	my-utm-ep.33404
record_format	uketd_dc
spelling	my-utm-ep.334042018-05-27T08:07:43Z Recipe generation of under fill process based on improved kernel regression and particle swarm optimization 2012-01 Othman, Mohd. Hafiz TK Electrical engineering. Electronics Nuclear engineering The under fill process is a process that fills the gap between a chipset and a substrate using an epoxy material. The output of this process is a length of tongue that has to be controlled so it avoid touching the keep out zone. A recipe generation of the input parameters in the under fill process will help the length of tongue generated from touching the keep out zone. This project proposes a predictive modeling algorithm called Improved Kernel Regression and Particle Swarm Optimization in order to find the six input parameters needed in the under fill process. Even though only few samples of the under fill data sets are used in the simulation experiment, the proposed approach is able to provide a recipe generation of the six input parameters. 2012-01 Thesis http://eprints.utm.my/id/eprint/33404/ http://eprints.utm.my/id/eprint/33404/5/MohdHafizOthmanMFKE2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70202?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Othman, Mohd. Hafiz Recipe generation of under fill process based on improved kernel regression and particle swarm optimization
description	The under fill process is a process that fills the gap between a chipset and a substrate using an epoxy material. The output of this process is a length of tongue that has to be controlled so it avoid touching the keep out zone. A recipe generation of the input parameters in the under fill process will help the length of tongue generated from touching the keep out zone. This project proposes a predictive modeling algorithm called Improved Kernel Regression and Particle Swarm Optimization in order to find the six input parameters needed in the under fill process. Even though only few samples of the under fill data sets are used in the simulation experiment, the proposed approach is able to provide a recipe generation of the six input parameters.
format	Thesis
qualification_level	Master's degree
author	Othman, Mohd. Hafiz
author_facet	Othman, Mohd. Hafiz
author_sort	Othman, Mohd. Hafiz
title	Recipe generation of under fill process based on improved kernel regression and particle swarm optimization
title_short	Recipe generation of under fill process based on improved kernel regression and particle swarm optimization
title_full	Recipe generation of under fill process based on improved kernel regression and particle swarm optimization
title_fullStr	Recipe generation of under fill process based on improved kernel regression and particle swarm optimization
title_full_unstemmed	Recipe generation of under fill process based on improved kernel regression and particle swarm optimization
title_sort	recipe generation of under fill process based on improved kernel regression and particle swarm optimization
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/33404/5/MohdHafizOthmanMFKE2012.pdf
_version_	1747816153031376896

Recipe generation of under fill process based on improved kernel regression and particle swarm optimization

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