Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition

This study explored the possibility of using quarry dust as a replacement for natural river sand in concrete production. The behaviors of individual materials such as quarry dust (QD), ground granulated blast-furnace slag (GGBS), pulverized fly ash (PFA) and silica fume (SF) were determined. Laborat...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdullah, Jaharatul Dini Karen Lee
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/101517/1/JaharatulDiniKarenPSKA2022.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.101517
record_format	uketd_dc
spelling	my-utm-ep.1015172023-06-21T10:27:26Z Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition 2022 Abdullah, Jaharatul Dini Karen Lee TA Engineering (General). Civil engineering (General) This study explored the possibility of using quarry dust as a replacement for natural river sand in concrete production. The behaviors of individual materials such as quarry dust (QD), ground granulated blast-furnace slag (GGBS), pulverized fly ash (PFA) and silica fume (SF) were determined. Laboratory investigations were also conducted to evaluate the characterization of quarry dust and by-products materials in terms of microstructure, physical and chemical properties. Furthermore, mix design and the evaluation of the fresh and hardened properties of the ternary blend concrete were executed. Series of concrete were prepared with ternary blend proportion of OPC with sand (control), QD, GGBS, PFA and SF using water to cement ratio (w/c) of 0.30 and 0.20. Fresh properties of mixtures in terms of concrete slumps and density were studied. The hardened properties were examined based on mechanical strengths, deformation characteristics, durability properties and corrosion measurement. Finally, microstructural tests in terms of X-ray diffraction (XRD) and field emission scanning microscopy (FESEM), were concurrently conducted on control and ternary blended concrete to determine the interaction and effect of the ternary material that brings about the performance of the concrete. Results showed that QD and by-products materials affect mixture workability negatively. The inclusion of super plasticizer showed tremendous influence in increasing the workability and reduced this drawback. Blended concrete mixes at various replacement of GGBS, PFA and SF with quarry dust takes longer time to set within 3 to 4 hours whereas control mix is the fastest to set at an hour. Quarry dust blended with concrete indicates that the compressive strength gained between 5.3% to 7.3% compared to control concrete. Furthermore, the constituents of ternary blended it has the quality to be used as partial replacement cement. 2022 Thesis http://eprints.utm.my/id/eprint/101517/ http://eprints.utm.my/id/eprint/101517/1/JaharatulDiniKarenPSKA2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150597 phd doctoral Universiti Teknologi Malaysia Faculty of Engineering - School of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Abdullah, Jaharatul Dini Karen Lee Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition
description	This study explored the possibility of using quarry dust as a replacement for natural river sand in concrete production. The behaviors of individual materials such as quarry dust (QD), ground granulated blast-furnace slag (GGBS), pulverized fly ash (PFA) and silica fume (SF) were determined. Laboratory investigations were also conducted to evaluate the characterization of quarry dust and by-products materials in terms of microstructure, physical and chemical properties. Furthermore, mix design and the evaluation of the fresh and hardened properties of the ternary blend concrete were executed. Series of concrete were prepared with ternary blend proportion of OPC with sand (control), QD, GGBS, PFA and SF using water to cement ratio (w/c) of 0.30 and 0.20. Fresh properties of mixtures in terms of concrete slumps and density were studied. The hardened properties were examined based on mechanical strengths, deformation characteristics, durability properties and corrosion measurement. Finally, microstructural tests in terms of X-ray diffraction (XRD) and field emission scanning microscopy (FESEM), were concurrently conducted on control and ternary blended concrete to determine the interaction and effect of the ternary material that brings about the performance of the concrete. Results showed that QD and by-products materials affect mixture workability negatively. The inclusion of super plasticizer showed tremendous influence in increasing the workability and reduced this drawback. Blended concrete mixes at various replacement of GGBS, PFA and SF with quarry dust takes longer time to set within 3 to 4 hours whereas control mix is the fastest to set at an hour. Quarry dust blended with concrete indicates that the compressive strength gained between 5.3% to 7.3% compared to control concrete. Furthermore, the constituents of ternary blended it has the quality to be used as partial replacement cement.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdullah, Jaharatul Dini Karen Lee
author_facet	Abdullah, Jaharatul Dini Karen Lee
author_sort	Abdullah, Jaharatul Dini Karen Lee
title	Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition
title_short	Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition
title_full	Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition
title_fullStr	Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition
title_full_unstemmed	Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition
title_sort	dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Civil Engineering
publishDate	2022
url	http://eprints.utm.my/id/eprint/101517/1/JaharatulDiniKarenPSKA2022.pdf
_version_	1776100716838912000

Dual-level segmentation method for feature extraction enhancement strategy in speech emotion recognition

Similar Items