N
Nurul Azma Abdullah
Researcher at Universiti Malaysia Pahang
Publications - 40
Citations - 329
Nurul Azma Abdullah is an academic researcher from Universiti Malaysia Pahang. The author has contributed to research in topics: Modal analysis & Finite element method. The author has an hindex of 9, co-authored 32 publications receiving 189 citations. Previous affiliations of Nurul Azma Abdullah include Universiti Tun Hussein Onn Malaysia & Malaysian Nuclear Agency.
Papers
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Journal ArticleDOI
A review on crashworthiness studies of crash box structure
TL;DR: This review solely focuses on crash box structure, an integral component for ensuring the safety of a car, which serves as an energy-absorbing member together with the front bumper in case of frontal collision during car accidents.
Journal ArticleDOI
Dynamics Properties of a Go-Kart Chassis Structure and Its Prediction Improvement Using Model Updating Approach
Nurul Azma Abdullah,Mohd Shahrir Mohd Sani,Nurulakmar Abu Husain,Md. Mustafizur Rahman,Izzuddin Zaman +4 more
TL;DR: In this article, the authors performed model updating of a go-kart chassis structure in order to reduce the percentage of error between the experimental modal analysis (EMA) and finite element analysis (FEA).
Journal ArticleDOI
An Intelligent, Secure, and Smart Home Automation System
Rizwan Majeed,Nurul Azma Abdullah,Imran Ashraf,Yousaf Bin Zikria,Muhammad Faheem Mushtaq,Muhammad Umer +5 more
TL;DR: This paper presents a novel idea of a smart home that uses a machine learning algorithm (Support Vector Machine) for intelligent decision making and also uses blockchain technology to ensure identification and authentication of the IoT devices in the proposed home automation system.
Proceedings ArticleDOI
Face recognition for criminal identification: An implementation of principal component analysis for face recognition
Nurul Azma Abdullah,Md. Jamri Saidi,Nurul Hidayah Ab Rahman,Chuah Chai Wen,Isredza Rahmi A. Hamid +4 more
TL;DR: An automated facial recognition system for criminal database was proposed using known Principal Component Analysis approach, which will be able to detect face and recognize face automatically and show that about 80% of input photo can be matched with the template data.
Journal ArticleDOI
A review on model updating in structural dynamics
TL;DR: This paper is a review of information and related studies concerning topic of model updating in structural dynamics to introduce and explain the important concept of the discussed subject in model updating area as well as to summarize the development and available guidance and method of conducting the study.