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Dive into the research topics where Mazura Mat Din is active.

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Featured researches published by Mazura Mat Din.


International Journal of Computer Theory and Engineering | 2011

Automated Matching Systems and Correctional Method for Improved Inspection Data Quality

Mazura Mat Din; Norhazilan Md Noor; Md. Asri Ngadi; Khadijah Abd. Razak; Maheyzah Md Siraj

Advances in computing technology, and data gathering tools provides a great opportunity in engineering area such as civil structure analysis domain to better understand its phenomenon. Our case study utilize these advances in pipeline structure in order to study the corrosion behavior that been one of the problem that leads to its failure. The availability of ILI data from MFL tools provides a better insight of corrosion process by using an efficient systems and data analysis method in order to extract important information regarding the condition of the pipeline. Our paper will discuss an implementation of automated matching systems and data correctional method that shown a promising result to improve the quality of data for future reliability assessment. The automated matching systems was evaluated using linear regression method for its sensitivity analysis whereby a modified corrosion rate method was used along with linear prediction method to verify the accuracy of the corrected data. Issues and advantage gain from this research is threefold; timeliness, accuracy, and consistencies in data sampling. This is a preliminary work towards a reliable pipeline assessment method.


international conference on computer technology and development | 2009

Improved Inspection Data Quality Using Modified Corrosion Rate Method for Offshore Pipeline Assessment

Mazura Mat Din; Asri Ngadi; Khadijah Abdul Razak; Norhazilan Md Noor

Data quality is crucial to any data analysis task. Information collected from many channels prone to disturbance, inconsistent, missing values and redundant information. In our case, these errors arise in metal loss data collected at different point of time using dissimilar sensors and devices in offshore pipeline structure. Furthermore, data collection and analysis are often time consuming and expensive making it undesirable for recollection. Thus, rather than discard the corrupted data, we need to evaluate and enhanced its quality by correcting the errors as much as possible. In this paper, we discuss how data is pre-processed by means of correcting the data to make it ready for further analysis. A modified corrosion rate method was used to enhance the quality of data coupled with a linear prediction method to verify the accuracy of the corrected data. Result shows that the proposed method can minimize the effects of uncertainties on the reliability of the inspection data.


international symposium on biometrics and security technologies | 2014

A taxonomy on intrusion alert aggregation techniques

Taqwa Ahmed; Maheyzah Md Siraj; Anazida Zainal; Mazura Mat Din

As security threats advance in a drastic way, most of the organizations apply various intrusion detection systems (IDSs) to optimize detection and to provide comprehensive view of intrusion activities. But IDS produces huge number of duplicated alerts information that overwhelm security operator. Alert aggregation addresses this issue by reducing, fusing and clustering the alerts. Techniques from a different scope of disciplines have been proposed by researchers for different aspects of aggregation. In this paper we present a comprehensive review on proposed alert aggregation techniques. Our main contribution is to classify the literature based on the techniques applied to aggregate the alerts.


Journal of Applied Sciences | 2011

New technique for studying soil-corrosion of underground pipeline

Nordin Yahaya; Norhazilan Md Noor; Siti Rabeah Othman; Lim Kar Sing; Mazura Mat Din


Archive | 2009

PREDICTION OF CO2 CORROSION GROWTH IN SUBMARINE PIPELINES

Nordin Yahaya; Norhazilan Md Noor; Mazura Mat Din; Shadiah Husna Mohd


2017 IEEE Conference on Application, Information and Network Security (AINS) | 2017

Ensemble classifiers for spam review detection

Alhassan J. Ibrahim; Maheyzah Md Siraj; Mazura Mat Din


Indian journal of science and technology | 2015

Effect of temperature in SRB growth for oil and gas pipeline

Rosilawati Mohd Rasol; Norhazilan Md Noor; Mazura Mat Din


Archive | 2009

Improving Inspection Data Quality in Pipeline Corrosion Assessment

Mazura Mat Din; Asri Ngadi; Norhazilan Md Noor


Archive | 2008

Mechanize feature-to-feature matching system utilizing repeated inspection data

Mazura Mat Din; Norhazilan Mohd. Noor; Md. Asri Ngadi


International Journal of Innovative Computing | 2018

Privacy Preserving Data Mining Based on Geometrical Data Transformation Method (GDTM) and K-Means Clustering Algorithm

Nur Athirah Jamadi; Maheyzah Md Siraj; Mazura Mat Din; Hazinah Kutty Mammy; Norafida Ithnin

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Norhazilan Md Noor

Universiti Teknologi Malaysia

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Maheyzah Md Siraj

Universiti Teknologi Malaysia

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Md. Asri Ngadi

Universiti Teknologi Malaysia

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Anazida Zainal

Universiti Teknologi Malaysia

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Norafida Ithnin

Universiti Teknologi Malaysia

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Nordin Yahaya

Universiti Teknologi Malaysia

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Rosilawati Mohd Rasol

Universiti Teknologi Malaysia

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Alhassan J. Ibrahim

Universiti Teknologi Malaysia

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Azlan Mohd Zain

Universiti Teknologi Malaysia

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Hazinah Kutty Mammy

Universiti Teknologi Malaysia

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