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Dive into the research topics where Ezreen Farina Shair is active.

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Featured researches published by Ezreen Farina Shair.


ieee international power engineering and optimization conference | 2013

Open switch faults analysis in voltage source inverter using spectrogram

Abdul Rahim Abdullah; nur sumayyah ahmad; Ezreen Farina Shair; Auzani Jidin

The performance and effects is critical factor in industry, especially usage power inverter such as motor, switching and control circuit. Until now, the statistic of effects still increase in the application. In order to overcome this, the spectrogram technique is used to represent the signals in time frequency representation (TFR). This paper introduces time-frequency distribution (TFD) technique for detecting and identifying the open circuit fault in application of inverter. The condition monitoring is based on time-frequency distribution. Since Fast Fourier Transform (FFT) is one of the techniques to analyze the signal, but it has some limitations in non-stationary signal. From TFR the parameters such as root means square voltage (Vrms), total waveform distortion (TWD), total harmonic distortion (THD) and total non-harmonics (TnHD) for voltage source inverter (VSI) are used to identify the characteristic of the signals. The result shows that spectrogram technique capable to identify and evaluate the information of voltage source inverter (VSI). The proposed technique is verified as simulation results.


International Journal of Information Engineering and Electronic Business | 2015

Cuckoo Search Approach for Cutting Stock Problem

Ezreen Farina Shair; Shen Young Khor; Abdul Rahim Abdullah; Hazriq Izzuan Jaafar; Nur Zawani Saharuddin; Amar Faiz Zainal Abidin

Cutting Stock Problem has been used in many industries like paper, glass, wood and etc. Cutting Stock Problem has helped industries to reduce trim loss and at the same time meets the customer’s requirement. The purpose of this paper is to develop a new approach which is Cuckoo Search Algorithm in Cutting Stock Problem. Cutting Stock Problem with Linear Programming based method has been improved down the years to the point that it reaches limitation that it cannot achieve a reasonable time in searching for solution. Therefore, many researchers have to turn to metaheuristic algorithms as a solution to the problem which also makes these algorithms become famous. Cuckoo Search Algorithm is selected because it is a new algorithm and outperforms many algorithms. Hence, this paper intends to experiment the performance of Cuckoo Search in Cutting Stock Problem.


2015 International Symposium on Technology Management and Emerging Technologies (ISTMET) | 2015

sEMG signals analysis using time-frequency distribution for symmetric and asymmetric lifting

Ezreen Farina Shair; Tengku Nor Shuhada Tengku Zawawi; Abdul Rahim Abdullah; Nur Hazahsha Shamsudin; I. Halim

Following the industrial revolution, a third of the worlds economic output is derived from manufacturing industries. In the manufacturing industry sectors, manual lifting is commonly practiced even though mechanized material handling equipment are provided. Due to this repetitive lifting behavior, it will contributes to muscle fatigue and low back pain that can lead to work efficiency and low productivity. This will cause great losses to the company and to the country. The purpose of this study is to investigate changes in the surface electromyography (sEMG) signals during repetitive manual lifting for different twist angle values. The EMG signals are taken from right Biceps Branchii of five healthy subjects (age range 21 - 25 years) while performing symmetric and asymmetric lifting of twist angle 0° and 90° at lifting height of 140 cm with load mass of 10 kg. The analysis is done by applying time-frequency distribution (TFD) which is spectrogram technique to represent the EMG signal in time-frequency representation (TFR) before displaying the instantaneous voltage, Vrms (t) value. This study found that symmetric lifting requires less force to lift the load and that asymmetric lifting has faster tendency to experienced fatigue. This study concludes that the twist angle has a significant influence to the muscle performance of right Biceps Branchii.


student conference on research and development | 2013

Electromyography signal analysis using spectrogram

Tengku Nor Shuhada Tengku Zawawi; Abdul Rahim Abdullah; Ezreen Farina Shair; I. Halim; O. Rawaida


Jurnal Teknologi | 2015

TRAFFIC SIGN DETECTION AND RECOGNITION: REVIEW AND ANALYSIS

Nursabillilah Mohd Ali; Mohd Safirin Karis; Amar Faiz Zainal Abidin; Bahzifadhli Bakri; Ezreen Farina Shair; Nur Rafiqah Abdul Razif


BioMed Research International | 2017

EMG Processing Based Measures of Fatigue Assessment during Manual Lifting

Ezreen Farina Shair; Siti Anom Ahmad; Mohammad Hamiruce Marhaban; S. B. Mohd Tamrin; Abdul Rahim Abdullah


International review of automatic control | 2014

A Brief Review of Cuckoo Search Algorithm (CSA) Research Progression from 2010 to 2013

Ezreen Farina Shair; Shen Young Khor; Abdul Rahim Abdullah; Hazriq Izzuan Jaafar; Nursabillilah Mohd Ali; Amar Faiz Zainal Abidin


Archive | 2013

Optimal Kernel Parameters of Smooth-WindowedWigner-Ville Distribution for Power Quality Analysis

Abdul Rahim Abdullah; Nur Hafizatul Tul Huda ahmad; Ahmad Zuri Sha'ameri; Noor Athira abidullah; Mohd Hatta Jopri; Ezreen Farina Shair


Journal of Telecommunication, Electronic and Computer Engineering | 2018

Selection of Spectrogram’s Best Window Size in EMG Signal during Core Lifting Task

Ezreen Farina Shair; Siti Anom Ahmad; Abdul Rahim Abdullah; Mohammad Hamiruce Marhaban; S.B. Mohd Tamrin


Archive | 2017

Impact of different lifting height and load mass on muscle performance using periodogram

Ezreen Farina Shair; Siti Anom Ahmad; Abdul Rahim Abdullah; Mohammad Hamiruce Marhaban; Shamsul Bahri Mohd Tamrin

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Abdul Rahim Abdullah

Universiti Teknikal Malaysia Melaka

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Amar Faiz Zainal Abidin

Universiti Teknikal Malaysia Melaka

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Hazriq Izzuan Jaafar

Universiti Teknikal Malaysia Melaka

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Siti Anom Ahmad

Universiti Putra Malaysia

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I. Halim

Universiti Teknikal Malaysia Melaka

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Mohd Hatta Jopri

Universiti Teknikal Malaysia Melaka

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Noor Athira abidullah

Universiti Teknikal Malaysia Melaka

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Nur Hafizatul Tul Huda ahmad

Universiti Teknikal Malaysia Melaka

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