Hasneeza Liza Zakaria
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Hasneeza Liza Zakaria
Official Name
Zakaria, Hasneeza Liza
Alternative Name
Zakaria, Hasneezaliza
Zakaria, Hasneeza L.
Zakaria, H. L.
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Scopus Author ID
56958021700
Researcher ID
CJM-2136-2022

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  • Publication
    Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
    ( 2021-04-26)
    Hasneeza Liza Zakaria
    ;
    Zamli K.Z.
    ;
    Din F.
    Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test suite generation problems due to better exploration and exploitation capabilities of the hybridization. This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. The proposed strategy is called Elitist Hybrid MBO-GA Strategy (EMBO-GA). Based on the published benchmarking results, the result of these strategies are competitive with most existing strategies in terms of the generated test size in many of the parameter configurations. In the case where this strategy is not the most optimal, the resulting test size is sufficiently competitive.
      1
  • Publication
    SWIPT in Rician MIMO Interference Channels with Spatial Antenna Correlation
    ( 2020-12-11)
    Wan Nur Suryani Firuz Wan Ariffin
    ;
    Mohammad Reza Nakhai
    ;
    Hasneeza Liza Zakaria
    ;
    Nur Baya Mohd Hashim
    ;
    `Aini Syuhada Md Zain
    ;
    Hasliza A Rahim @ Samsuddin
    In this paper, we investigate simultaneous wireless information and power transfer (SWIPT) under spatial correlation in multiuser multiple-input-multiple-output (MU-MIMO) fading channels where the line-of-sight (LOS) path between the transmitter and the receiver is present. While the energy receiving terminals are harvesting energy, the information receiving terminals are receiving their desired signal-to-interference-plus-noise ratio (SINR) under the total power constraint at the transmitting terminal of the proposed SWIPT system. We use the Kronecker model to study the impact of MIMO antenna correlation and the Rician K-factor as the main parameter to set up the different fading conditions. We use semi-definite programming (SDP) to formulate the proposed SWIPT system. Our numerical results confirm that the performance of the proposed design improves in the absence of LOS component, i.e., with a zero K-factor or pure Rayleigh fading channel, and deteriorates as the LOS channel component grows. We show that the total harvested energy monotonically decreases as the Rician K-factor increases.
      19  4
  • Publication
    Optimization of Beamforming Matrix Design for Multi-Cell MIMO with SWIPT Systems
    ( 2020-12-11)
    Wan Nur Suryani Firuz Wan Ariffin
    ;
    Nakhai M.R.
    ;
    Hasneeza Liza Zakaria
    ;
    Nur Baya Mohd Hashim
    ;
    `Aini Syuhada Md Zain
    Energy harvesting is emerging as a promising new solution to provide continuous energy supplies to wireless rechargeable devices. This paper investigates wireless information and energy transfer in multi-cell multiple-input-multiple-output (MIMO) systems. An optimisation problem that designs the beamforming matrix is introduced to maximise the sum of total harvested energy collected from all energy receiving terminals while guaranteeing the desired data rate for each information receiving terminal remains above a certain level. Total power constraint at each transmitting terminal that was generated from the renewable energy and purchased from the grid is also considered. The channel capacity that requires the use of slower and less reliable CVX's successive approximation heuristic is formulated, and then, the non-convex problem is transformed into a convex problem form modelled by a semidefinite relaxation (SDR). The results show the effectiveness of the multiple antennas used in all cells provide better performance and also maximise the total harvested energy at all energy receiving terminals.
      1
  • Publication
    Numerical Approximation of Volterra Integro-Differential Equations of the Second Kind Using Boole’s Quadrature Rule Method
    ( 2023-05-01)
    Darus M.A.
    ;
    Nurul Huda Abdul Aziz
    ;
    Fatanah Deraman
    ;
    Salina Mohd Asi
    ;
    Anuar M.S.
    ;
    Hasneeza Liza Zakaria
    This article presents the numerical approximation of Volterra integro-differential equations (VIDEs) of the second kind using the quadrature rule in the modified block method. The new implementation of new block method which considers the closest point to approximate two solutions of y(xn+1 ) and y(xn+2 ) concurrently was taken into account. This method is said to have an advantage in reducing the number of total steps and function evaluations compared to the classical multistep method. The techniques of quadrature rule which consist of the trapezoidal rule, Simpson’s 1/3 rule, Simpson’s 3/8 rule and Boole’s quadrature rule have been used to approximate the integral parts of Kernel function, zn for n = 1, 2, 3, 4, 5 for the case of K(x, s) = 1. The analysis of the order, error constant, consistency and convergence of VIDEs in the proposed method has also been presented. The stability analysis is derived using the specified linear test equation for both approximate solutions until obtained the stability polynomial. To validate the efficiency of the developed method, some of the numerical results are presented and compared with the existing method. It is shown that the modified block method has given better accuracy and efficiency in terms of maximum error and number of steps and function calls.
      1