Abdul Hafiizh Ismail
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Preferred name
Abdul Hafiizh Ismail
Official Name
Ismail, Abdul Hafiizh
Alternative Name
Ismail, Abdul Hafiizh; Ismail
Ismail, A. H.
Main Affiliation
Scopus Author ID
35317988700
Researcher ID
AAA-9706-2019

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  • Publication
    Analysis reconfigurable frequency textile antenna in bending condition
    ( 2017-01-01)
    Shakhirul Mat Salleh
    ;
    Muzammil Jusoh
    ;
    Abdul Hafiizh Ismail
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Kamarudin M.R.
    ;
    Thennarasan Sabapathy
    ;
    Herwansyah Lago
    In this paper, the analysis of reconfigurable frequency textile antenna in bending conditions is presented. The antenna consists of a truncated rectangular patch and slotted ground plane made by ShieldIt Super. Felt fabric is used as an antenna substrate. The proposed antenna is capable to reconfigure at seven different states frequencies by using three PIN diodes. The Circular Polarization (CP) is achieved at the GPS operating frequency. Meanwhile, the proposed antenna operates as a Linear Polarization (LP) at high operating frequencies. The performances of antenna in bending conditions is analyze since the textile antenna usually attached on the body will easily bend due to the human body structures. Details of the simulation results for antenna in bending condition are discussed.
  • Publication
    Hybrid graphene–copper UWB array sensor for brain tumor detection via scattering parameters in microwave detection system
    ( 2017-01-01)
    Mohd Aminudin Jamlos
    ;
    Abdul Hafiizh Ismail
    ;
    Mohd Faizal Jamlos
    ;
    Adam Narbudowicz
    Hybrid graphene–copper ultra-wideband array sensor applied to microwave imaging technique is successfully used in detecting and visualizing tumor inside human brain. The sensor made of graphene coated film for the patch while copper for both the transmission line and parasitic element. The hybrid sensor performance is better than fully copper sensor. Hybrid sensor recorded wider bandwidth of 2.0–10.1 GHz compared with fully copper sensor operated from 2.5 to 10.1 GHz. Higher gain of 3.8–8.5 dB is presented by hybrid sensor, while fully copper sensor stated lower gain ranging from 2.6 to 6.7 dB. Both sensors recorded excellent total efficiency averaged at 97 and 94%, respectively. The sensor used for both transmits equivalent signal and receives backscattering signal from stratified human head model in detecting tumor. Difference in the data of the scattering parameters recorded from the head model with presence and absence of tumor is used as the main data to be further processed in confocal microwave imaging algorithm in generating image. MATLAB software is utilized to analyze S-parameter signals obtained from measurement. Tumor presence is indicated by lower S-parameter values compared to higher values recorded by tumor absence.