Siti Julia Rosli
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Preferred name
Siti Julia Rosli
Official Name
Siti Julia, Rosli
Alternative Name
Rosli, S.J.
Main Affiliation
Scopus Author ID
16053179200
Researcher ID
GTM-8357-2022

Research Output
Now showing 1 - 2 of 2
  • Publication
    Design of A 20-Bit Chipless RFID Tag Utilizing Multiple Resonators in UWB Frequency Range
    ( 2023-01-01)
    Radhakrishna K.
    ;
    Khairul Najmy Abdul Rani
    ;
    Wahab A.A.
    ;
    Siti Julia Rosli
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Seng L.Y.
    ;
    Omar M.H.
    ;
    Khairul Affendi Rosli
    Radio frequency identification (RFID) is a growing technology for monitoring and recognizing objects, persons, or animals via wireless communications. Precisely, RFID can operate longer range and has an ability to be automated without human control. Chipless RFID tag basically is a RFID tag that does not require a microchip in the transponder. The major impediments in designing chipless RFID tag are data encoding and transmission. The passive chipless RFID tag can be fabricated on any substrate material without external operating circuit, which is different compared to a conventional chipped RFID tag. In this paper, 20 resonators are used to design a 20-bit chipless RFID tag, which operates at the ultra-wideband (UWB) frequency range between 3.00 and 10.00 GHz. It is found that the additional resonators can encode data and increase the chipless RFID tag's encoding capacity significantly. In sum, multiple resonators enable the chipless RFID tag to encode data at different operating frequencies.
      1
  • Publication
    A Review on Research Trends in using Cuckoo Search Algorithm: Applications and Open Research Challenges
    ( 2023-01-01)
    Safdar K.
    ;
    Khairul Najmy Abdul Rani
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Siti Julia Rosli
    ;
    Mohd Aminudin Jamlos
    This paper provides an exclusive understanding of the Cuckoo Search Algorithm (CSA) using a comprehensive review for various optimization problems. CSA is a swarm-based nature inspired, intelligent and metaheuristic approach, which is used to solve complex, single or multi objective optimization problems to provide better solutions with maximum or minimum parameters. It was developed in 2009 by Yang and Deb to emulate the breeding behaviour of cuckoos. Since CSA provides promising solutions to solve real world optimization problems, in recent years there have been introduced several new modified and hybridized CSAs using for different applications. In this regard this article provides a comprehensive survey including recent trends, modifications, open research challenges, applications, and related taxonomies for various optimization problems. The literature of this reviewed paper belongs to the domains of engineering, optimization, and pattern recognition. The aim of this review paper is to provide a detailed overview regarding CSA for possible future directions using the recent contributions.
      2  8