Zulkarnay Zakaria
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Zulkarnay Zakaria
Official Name
Zulkarnay, Zakaria
Alternative Name
Zakaria, Z. N.
Zakaria, Zulkarnay
Zakaria, Z.
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Scopus Author ID
24403085300
Researcher ID
F-5218-2010

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  • Publication
    Inhibition of Aspergillus flavus by Momordica charantia Ethanolic Leaves Extract for Mushroom Protection
    ( 2023-06-09)
    Noor Hasyierah Mohd Salleh
    ;
    Zulkarnay Zakaria
    ;
    Aziz N.H.
    ;
    Ahmad Anas Nagoor Gunny
    ;
    Alina Rahayu Mohamed
    ;
    Munusamy T.
    Pleurotus ostreatus, better known as oyster mushroom is one of the world’s widely cultivated mushroom. Infection from pathogenic fungi is one of the major reasons causing losses of mushroom during cultivation. The objective of this study is to investigate the antifungal property of Momordica charantia leaves extract against Aspergillus flavus for mushroom protection. The inhibitory effect of M. charantia leaves extract against A. flavus isolated from infected P. ostreatus mushroom bag was investigated using pour plate technique. Inhibition of A. flavus mycelial growth was the highest at extract concentration of 9.64 v/v %, temperature 26℃ and incubation time of 96 hours with inhibitory value of 70.58 ± 0.00 %, 78.4 ± 0.00 % and 63.33 ± 2.89 % respectively. Structural morphology of the mycelia grown on the treated plate also showed morphological alteration compared to the control plate. Hence, Momordica charantia leaves extract may serves as a promising fungicides alternative to chemical use for controlling invasion of A. flavus on oyster mushroom.
  • Publication
    Dielectric spectroscopy technique for carbohydrate characterization of fragrant rice, brown rice and white rice
    ( 2017-11-20)
    Cheng Ee Meng
    ;
    Kok Yeow You
    ;
    Lee KimYee
    ;
    Abbas Z.
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Khor Shing Fhan
    ;
    Zulkarnay Zakaria
    ;
    Lee Y.S.
    This study was conducted to investigate the feasibility of microwave dielectric spectroscopic technique in characterizing commercial rice due to different level of moisture content. There are some unethical rice industry runner mixes good qualities of rice which can be sold at high price with low cost and quality of rice to maximize profit. It causes fraudulency in business and great lost in term of money to nation who take rice as staple food. It happens frequently in Asian country which is active in agricultural activities. This technique is implemented using Keysight E8362B network analyzer in conjunction with an Keysight 85070E dielectric probe ranging from 200 MHz to 10 GHz. The samples of study are commercially available at market, namely fragrant rice, white rice, and brown rice, respectively. These are the popular and favorite rice for Malaysian due its delicacy and affordable price. Nutrient level for fragrant rice, white rice, and brown rice in terms of protein, moisture, carbohydrate and fat are different and unique. It leads to various electromagnetic responses toward frequency. Dielectric and reflection measurement were conducted to characterize these rice. The presence of polar and non-polar molecules in nutrient of rice causes variation of dielectric and reflection behavior over the operating frequency range.
  • Publication
    Analysis of magnetic coil properties in magnetic induction tomography using FEMM software
    (Universiti Malaysia Perlis (UniMAP), 2010-09-06)
    Zulkarnay Zakaria
    ;
    Shahril Najib Ismail
    ;
    Mohd Hafiz Fazalul Rahiman
    In Magnetic Induction Tomography (MIT) application, the needs of having the best spec of magnetic coil are very important since this is among the factors that will provide the best reconstructed image of the object that is going to be scanned. This report focuses on analysis of magnetic coil properties using Finite Element Method Magnetics (FEMM) software. The analysis is done based on the Magnetic Induction Tomography (MIT) model which consists the application of four coils and four Hall Effect sensors. The simulation through this FEMM software will provide the magnetic field patterns of the system with different coil parameter in sensing the phantoms which is located at the centre of the modeled MIT system. The parameters which produced the best magnetic field pattern will be chosen as the selected parameters for the coil when the MIT hardware is going to be developed
  • Publication
    Computed Tomography Virtual Lab Software application in Biomedical Electronic Engineering Programme at University Malaysia Perlis
    (Universiti Malaysia Perlis (UniMAP), 2010-06-09)
    Zulkarnay Zakaria
    ;
    Mohd Hafiz Fazalul Rahiman
    ;
    Saidatul Ardeenawatie Awang
    ;
    Nur Farahiyah Mohamad
    ;
    Azaian Azamimi Abdullah
    ;
    Ruzairi Abdul Rahim
    Computed Tomography (CT) is a medical imaging method and is among the common equipment or machine in a hospital which is vital in imaging certain parts of human body for the purpose of screening and detecting of deceases like cancers, tumors and several others by producing characteristics of the internal structure of the object such as dimensions, shape, internal defects, and density. CT is a powerful nondestructive technique for producing cross sectional image 2D or 3D depends on the technologies applied. Since its introduction in the 1970s, CT has become an important tool in medical imaging to supplement Xrays and medical ultrasonography. In University Malaysia Perlis (UniMAP), Computed Tomography and Applications has been offered as an elective course in Biomedical Electronic Engineering Programme. In this course, the student are introduced to the Computed Tomography Virtual Lab Software which has been developed by Tomographic Imaging Research Group, School of Mechatronic Engineering, UniMAP in 2009 as part of the teaching aids. Through this approached, the course are more attractive and the students are found easier in understanding the concept of basic tomography system, image reconstruction process, limitations and several possible of error sources.
  • Publication
    Initial results on magnetic flux leakage (MFL) diagnosis device
    (Universiti Malaysia Perlis (UniMAP), 2010-06-09)
    Zulkarnay Zakaria
    ;
    Wan Alimin Wan Zain
    Magnetic flux leakage (MFL) is among the famous and expensive technique in large scale oil and gas pipe diagnosis system. This technique apply strong magnetic fields to detect any strange in the inner surface of the pipes such as corroded, crack or other symptoms which is bad to the pipe condition. The aim of this research is to develop a small scale, low cost and portable magnetic flux leakage (MFL) diagnosis system which suitable in to detect the defect the inner side of steel pipe or steel tank structures. Other than industries, the possible application of this research is in the hospital piping and medical tanks. Through this system, the liquid or material inside the pipe or tank no need to take out, and this will not disturb the inside process. This non destructive developed system applies a coil together with Hall Effect sensor that senses the strength of the generated magnetic flux. The detected magnetic flux is then converts to voltage value by the Hall Effect sensor. The value of the converted voltage is different depends on the magnetic flux density, and this flux density will base on the types of the pipe or tank surface. The condition of the surface is then display on the LCD which is also part of the new developed MFL system.
  • Publication
    Classifying white blood cells from a peripheral blood smear image using a histogram of oriented gradient feature of nuclei shapes
    ( 2020-06-11)
    Anas Mohd Noor
    ;
    Haniza Yazid
    ;
    Zulkarnay Zakaria
    ;
    Aishah Mohd Noor
    Researchers developed various methods and algorithms to classify white blood cells (WBCs) from blood smear images to assist hematologists and to develop an automatic system. Furthermore, the pathological and hematological conditions of WBCs are related to diseases that can be analyzed accurately in a short time. In this work, we proposed a simple technique for WBC classification from a peripheral blood smear image based on the types of cell nuclei. The developed algorithms utilized a histogram of oriented gradient (HOG) feature typically known for application in human disease detection. The segmentation of WBC nuclei utilizes a YCbCr color space and K-means clustering techniques. The HOG feature contains information about the cell nuclei shapes, which then is classified using a support vector machine (SVM) and backpropagation artificial neural network (ANN). The results show that the proposed HOG feature is useful for WBC classification based on the shapes of nuclei. We are able to categorize the type of a WBC based on its nucleus shape with more than 95% accuracy.
      1  27
  • Publication
    Small Scale Non-Invasive Imaging Using Magnetic Induction Tomography - Hardware Design
    ( 2020-01-01)
    Mansor M.S.B.
    ;
    Rahim R.A.
    ;
    Zulkarnay Zakaria
    ;
    Ayob N.M.N.
    ;
    Yunus Y.M.
    ;
    Ahmad A.
    This study is conducted to preliminary image the conductivity profile through the development of small scale non-invasive Magnetic Induction Tomography (MIT) system. It is proved that the Magnetic Induction Tomography interested in mapping the passive electrical properties of materials; conductivity (σ), permittivity (ε) and permeability (µ) in both process and medical tomography. The system is realized by designing the functional ferrite-core coil sensors, electronic measurements circuits for excitation and receiving coil, data acquisition system for transferring the data to the PC and suitable image reconstruction algorithm for providing the conductivity distributions measurement. The important characteristic for excitation coil is the one that can maintain the stability the optimum sine wave frequency ranging from 400 kHz up to 10 MHz. The sine waves are fed to the excitation coil through the application of high current amplifier component respectively. In the experiments, the copper phantom represent as high conductivity material were placed into the region of interest. The initial 16 channels MIT consists of 8 excitation coils and 8 receiving coils stacked alternately. On the receiving circuit, the major problem is the weak secondary signal perturbation sensed by the receiving coil has been improved by placing the variable amplifier on each receiver. The enhancement of conductivity profile imaging has been made by using a common Linear Back Projection (LBP) algorithm. The measurement was done on single and dual arrangement of copper phantom aligns in random coordinate so that the sensitivity of the excitation and receiving coil sensor can be experimentally observed. The imaging's results show that the hardware's and algorithm used was capable to process the data captured at the receiver. The results obtained can be useful for further improvement and research towards magnetic induction tomography.
      3  23
  • Publication
    A comprehensive review of the recent developments in wearable Sweat-Sensing Devices
    ( 2022-10-01)
    Nur Fatin Adini Ibrahim
    ;
    Norhayati Sabani
    ;
    Shazlina Johari
    ;
    Asrulnizam Abd Manaf
    ;
    Asnida Abdul Wahab
    ;
    Zulkarnay Zakaria
    ;
    Anas Mohd Noor
    Sweat analysis offers non-invasive real-time on-body measurement for wearable sensors. However, there are still gaps in current developed sweat-sensing devices (SSDs) regarding the concerns of mixing fresh and old sweat and real-time measurement, which are the requirements to ensure accurate the measurement of wearable devices. This review paper discusses these limitations by aiding model designs, features, performance, and the device operation for exploring the SSDs used in different sweat collection tools, focusing on continuous and non-continuous flow sweat analysis. In addition, the paper also comprehensively presents various sweat biomarkers that have been explored by earlier works in order to broaden the use of non-invasive sweat samples in healthcare and related applications. This work also discusses the target analyte’s response mechanism for different sweat compositions, categories of sweat collection devices, and recent advances in SSDs regarding optimal design, functionality, and performance.
      4  2
  • Publication
    Classification of White Blood Cells Based on Surf Feature
    ( 2021-01-01)
    Anas Mohd Noor
    ;
    Zulkarnay Zakaria
    ;
    Aishah Mohd Noor
    ;
    Ahmad Nasrul Norali
    Conventional blood analysis using blood smear image were performed manually by experts in hematology is tedious and highly depending on the level of experience. Currently, computer-assist technology is developed to reduce the time-consuming process and improved accuracy. As an example, various image processing techniques used to quantify such as white blood cells (WBCs) morphological conditions or classification in the blood smear image, which assist experts in developing confidence decision making in the analysis of cells conditions linked to the specific diseases. However, the WBCs shape features are arbitrary than the red blood cells (RBCs) because of the maturation state, cell orientations or positions, cell color variations, and the quality of the image captured influences the performance of classification accuracy. Therefore, we proposed a scale and rotation invariance feature for WBCs classification using speed up robust feature (SURF). SURF is suitable to be applied in identifying objects even though the orientation, scale, and position are varying, such as WBCs in microscopic blood smear images. We analyzed the classification performances using a support vector machine (SVM) and an artificial neural network (ANN) of WBCs types in the microscopic image based on the cell nucleus. The results show that the purposed SURF feature method has an excellent performance of accuracy for both methods and suitable to be utilized for the application of cell types classification.
      1  35
  • Publication
    Muscle Fatigue Assessment Using Multi-sensing Based on Electrical, Mechanical and Acoustic Properties
    ( 2021-01-01)
    Anas Mohd Noor
    ;
    Zulkarnay Zakaria
    ;
    Ahmad Nasrul Norali
    This paper shows that a multi-sensing technique using electromyogram (EMG), mechanomyogram (MMG), and acousticmyogram (AMG) used to monitor the status of rectus femoris muscle over three states; minimal stress, moderate fatigue, and severe muscle fatigue. Test subjects need to do the designed exercise protocol to simulate these state conditions. The sensors are located at the rectus femoris muscle, and signals were recorded simultaneously. Analysis of signals is based on root mean square (RMS), mean power frequency (MPF), and power spectral density (PSD) plot were compared between the muscle state conditions. Results show that the RMS values of the muscle are increased as the contraction occurs, and the MPF signal is decreased for all sensing properties. On the other hand, the frequency signal is shifted to the left in the PSD plot as the muscle undergoes fatigued for all sensors. In conclusion, multi-sensing using EMG, MMG, and AMG are useful for assessing muscle fatigue condition. It also provide advantages over the single-measurement muscle assessment method.
      1