Hasliza A Rahim @ Samsuddin
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Preferred name
Hasliza A Rahim @ Samsuddin
Official Name
A Rahim @ Samsuddin, Hasliza
Alternative Name
A. Rahim, Hasliza
Rahim, Hasliza A.
Rahim Samsuddin, H. A.
Rahim, Hasliza Abdul
Rahim, Hazliza A.
Rahim, H. A.
Rahim, H.
Hasliza,
Rahim H, Abd
RahimAtSamusuddin, Hasliza A.
A Rahim, Hasliza
Rahim At Samsuddin, Hasliza A.
ARahim, H.
Rahim Samsuddin, A. Hasliza
Rahim At Samsuddin, H. A.
Rahim, Hasliza Abd
Rahim, Hasliza
Rahim At Shamsuddin, H. A.
Main Affiliation
Scopus Author ID
57202496362
Researcher ID
ABE-3328-2020

Research Output

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  • Publication
    Hybridization of strength pareto multiobjective optimization with modified cuckoo search algorithm for rectangular array
    ( 2017)
    Khairul Najmy Abdul Rani
    ;
    Mohamedfareq Abdulmalek
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Neoh Siew Chin
    ;
    Alawiyah Abd Wahab
    This research proposes the various versions of modified cuckoo search (MCS) metaheuristic algorithm deploying the strength Pareto evolutionary algorithm (SPEA) multiobjective (MO) optimization technique in rectangular array geometry synthesis. Precisely, the MCS algorithm is proposed by incorporating the Roulette wheel selection operator to choose the initial host nests (individuals) that give better results, adaptive inertia weight to control the positions exploration of the potential best host nests (solutions), and dynamic discovery rate to manage the fraction probability of finding the best host nests in 3-dimensional search space. In addition, the MCS algorithm is hybridized with the particle swarm optimization (PSO) and hill climbing (HC) stochastic techniques along with the standard strength Pareto evolutionary algorithm (SPEA) forming the MCSPSOSPEA and MCSHCSPEA, respectively. All the proposed MCS-based algorithms are examined to perform MO optimization on Zitzler–Deb–Thiele’s (ZDT’s) test functions. Pareto optimum trade-offs are done to generate a set of three non-dominated solutions, which are locations, excitation amplitudes, and excitation phases of array elements, respectively. Overall, simulations demonstrates that the proposed MCSPSOSPEA outperforms other compatible competitors, in gaining a high antenna directivity, small half-power beamwidth (HPBW), low average side lobe level (SLL) suppression, and/or significant predefined nulls mitigation, simultaneously.
  • Publication
    Green Nanocomposite-Based metamaterial electromagnetic absorbers: Potential, current developments and future perspectives
    ( 2020)
    Nurul Fatihah Nabila Yah
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mohdfareq Abdulmalek
    ;
    Soh Ping Jack
    ;
    R. Badlishah, Ahmad
    ;
    Muzammil Jusoh
    ;
    Lee Yeng Seng
    ;
    Mohd Haizal Jamaluddin
    ;
    Mohd Najib Mohd Yasin
  • Publication
    Online learning approach for predictive Real-Time energy trading in Cloud-RANs
    ( 2021)
    Wan Nur Suryani Firuz Wan Ariffin
    ;
    Xinruo Zhang
    ;
    Mohammad Reza Nakhai
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    R. Badlishah, Ahmad
    Constantly changing electricity demand has made variability and uncertainty inherent characteristics of both electric generation and cellular communication systems. This paper develops an online learning algorithm as a prescheduling mechanism to manage the variability and uncertainty to maintain cost-aware and reliable operation in cloud radio access networks (Cloud-RANs). The proposed algorithm employs a combinatorial multi-armed bandit model and minimizes the long-term energy cost at remote radio heads. The algorithm preschedules a set of cost-efficient energy packages to be purchased from an ancillary energy market for the future time slots by learning both from cooperative energy trading at previous time slots and by exploring new energy scheduling strategies at the current time slot. The simulation results confirm a significant performance gain of the proposed scheme in controlling the available power budgets and minimizing the overall energy cost compared with recently proposed approaches for real-time energy resources and energy trading in Cloud-RANs.
  • Publication
    Electrically tunable Left-Handed textile metamaterial for microwave applications
    ( 2021)
    Kabir Hossain
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    ;
    Ping Jack Soh
    ;
    Mohd Haizal Jamaluddin
    ;
    Samir Salem Al-Bawri
    ;
    Mohamed Nasrun Osman
    ;
    R. Badlishah, Ahmad
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mohd Najib Mohd Yasin
    ;
    Nitin Saluja
    An electrically tunable, textile-based metamaterial (MTM) is presented in this work. The proposed MTM unit cell consists of a decagonal-shaped split-ring resonator and a slotted ground plane integrated with RF varactor diodes. The characteristics of the proposed MTM were first studied independently using a single unit cell, prior to different array combinations consisting of 1 × 2, 2 × 1, and 2 × 2 unit cells. Experimental validation was conducted for the fabricated 2 × 2 unit cell array format. The proposed tunable MTM array exhibits tunable left-handed characteristics for both simulation and measurement from 2.71 to 5.51 GHz and provides a tunable transmission coefficient of the MTM. Besides the left-handed properties within the frequency of interest (from 1 to 15 GHz), the proposed MTM also exhibits negative permittivity and permeability from 8.54 to 10.82 GHz and from 10.6 to 13.78 GHz, respectively. The proposed tunable MTM could operate in a dynamic mode using a feedback system for different microwave wearable applications.
  • Publication
    Bending Assessment of Dual-band Split Ring-shaped and Bar Slotted All-Textile Antenna for Off-body WBAN/WLAN and 5G Applications
    ( 2020-09-28)
    Mashaghba H.A.
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Soh Ping Jack
    ;
    Abdulmalek M.
    ;
    Ismahayati Adam
    ;
    Muzammil Jusoh
    ;
    Thennarasan Sabapathy
    ;
    Mohd Najib Mohd Yasin
    ;
    Khairul Najmy Abdul Rani
    This paper presents a dual-band split ring-shaped and bar slotted textile antenna for potential WBAN/WLAN and 5G applications. The antenna is made using textiles and features a full ground plane to possibly alleviate coupling to the human body. The overall size of the antenna is 70 x 70 mm2, with a patch sized at 47.2 x 31 mm2 0.472 \lambda \times 0.031 \lambda. The antenna is made using ShieldIt Super as its conductive textile and felt as its substrate. To enable its dual-band resonance at 2.45 and 3.5 GHz a split ring-shaped and bar slots are integrated onto the patch. The proposed antenna is evaluated when bent under different radii and at different axes to estimate its performance in terms of reflection coefficient, bandwidth, efficiency and gain. A 10-dB impedance bandwidth of 57 % or 135 MHz (from 2.39 to 2.52 GHz) and 70 % or 240 MHz (from 3.45 to 3.56 GHz) are obtained when evaluated in the planar /bent configuration. The maximum realized gain is 6 dBi for at 3.5 GHz. These performances indicate that the antenna proposed in this work can be potentially improved for applications in WBAN/WLAN and 5G bands.
  • Publication
    Flexible Co-Planar Waveguide (CPW)-Fed Y-Shaped Patch UWB Antenna for Off-Body Communication
    ( 2020-03-18)
    Kassim S.
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Soh Ping Jack
    ;
    Abdulmalek M.
    ;
    Muzammil Jusoh
    ;
    Jamaluddin M.H.
    ;
    Sabli N.S.
    ;
    Yassin M.N.
    ;
    Thennarasan Sabapathy
    ;
    Wee Fwen Hoon
    ;
    Mohamed Nasrun Osman
    ;
    Ismail N.
    This paper intends to design an Ultra-Wideband (UWB) antenna for future Internet of Things (IoT) applications for off-body Wireless Body Area Networks (WBAN) communication. An antenna based on the Y-shaped patch fed using co-planar waveguide (CPW) line, with a full ground plane is designed. It is implemented on two different substrates, namely a 5mm thick Rogers RO4350B and a 5-mm-thick felt textile. Parametric analysis of antenna is performed by changing its critical dimensions and monitoring parameters such as gain, bandwidth, efficiency, radiation pattern when using both substrates. Besides that, the bending effects towards reflection coefficient and radiation patterns are also studied. The final patch size with the Y-shaped slot is 36 × 40 mm2 for both substrates. The antenna is capable of providing coverage for the bands from 8 to 10 GHz. Finally, the antenna designed on RO4350B substrate outperforms the antenna designed on felt by about four times in terms of bandwidth, with 3.3 GHz (7.7-11 GHz).
  • Publication
    Reliable data transmission: An IoT health-based paradiam
    ( 2020-11-01)
    Hammood D.A.
    ;
    Mahmoud M.S.
    ;
    Alkhayyat A.
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    R Badlishah Ahmad
    A WBAN can be spread over a person's body, so; posing, dressing, moving of muscles, degree of heat of bodies as well as weather changes in general affect connections among sensors as well as desired point. Secondly, information collected via every sensor can be connected to a person's course of life; so, it can be considered as significant to guarantee that the collected information ought to be given to desired point competently. In this work, a critical cooperating communicating protocol to WBAN established on information has been suggested, called critical Data Transmission using Transmission Mode Selection (CD-TMS) method established for the architecture of star topology. In the beginning, we performed a studying, also we established a system model can be looked at according to channel los of path, effective transmitting possibility, as well as the out of work time possibility. Thirdly, relaying selecting can be used accompanied by CD-TMS, that lets just the most successful relaying take part in cooperating in a spread manner. Simulating as well as numeral outcomes illustrate that CD-TMS has the ability to develop the performing of a network under common terms comparing with direct transmission mode (DTM) IEEE 802.15.6 CSMA as well as benchmark.
  • Publication
    Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction
    ( 2020-08-01)
    Vijayasarveswari V.
    ;
    Allan Melvin Andrew
    ;
    Muzammil Jusoh
    ;
    Thennarasan Sabapathy
    ;
    Rafikha Aliana A Raof
    ;
    Mohd Najib Mohd Yasin
    ;
    R Badlishah Ahmad
    ;
    Khatun S.
    ;
    Hasliza A Rahim @ Samsuddin
    Breast cancer is the most common cancer among women and it is one of the main causes of death for women worldwide. To attain an optimum medical treatment for breast cancer, an early breast cancer detection is crucial. This paper proposes a multistage feature selection method that extracts statistically significant features for breast cancer size detection using proposed data normalization techniques. Ultra-wideband (UWB) signals, controlled using microcontroller are transmitted via an antenna from one end of the breast phantom and are received on the other end. These ultra-wideband analogue signals are represented in both time and frequency domain. The preprocessed digital data is passed to the proposed multistage feature selection algorithm. This algorithm has four selection stages. It comprises of data normalization methods, feature extraction, data dimensional reduction and feature fusion. The output data is fused together to form the proposed datasets, namely, 8-HybridFeature, 9-HybridFeature and 10-HybridFeature datasets. The classification performance of these datasets is tested using the Support Vector Machine, Probabilistic Neural Network and Naïve Bayes classifiers for breast cancer size classification. The research findings indicate that the 8-HybridFeature dataset performs better in comparison to the other two datasets. For the 8-HybridFeature dataset, the Naïve Bayes classifier (91.98%) outperformed the Support Vector Machine (90.44%) and Probabilistic Neural Network (80.05%) classifiers in terms of classification accuracy. The finalized method is tested and visualized in the MATLAB based 2D and 3D environment.
  • Publication
    Minimum Power Allocation Cooperative Communication based on Health-Care WBAN
    ( 2020-03-20)
    Hammood D.A.
    ;
    Alkhayyat A.
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    R Badlishah Ahmad
    Energy is limited resource in the Wireless Body Area Network (WBAN). Finding optimal and minimum required transmission power that can achieve a certain level of utility while utilizing as little power for transmission as possible plays an important role in reducing energy consumption. In this paper, we found the required transmission power of four transmission modes: the direct transmission mode, the dual-hop transmission mode, and two incremental cooperative transmission modes with Rayleigh channel fading.
  • Publication
    Smart Gateless System using RFID Technology in Universiti Malaysia Perlis
    ( 2021-06-11)
    Ainur Fasihah Mohd Fazilah
    ;
    Muzammil Jusoh
    ;
    Zakaria A.
    ;
    Thennarasan Sabapathy
    ;
    Ibrahim M.F.
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Azizan M.M.
    ;
    Mohd Zakimi Zakaria
    ;
    Nashrul Fazli Mohd Nasir
    ;
    Albreem M.A.M.
    ;
    R Badlishah Ahmad
    This paper describes a smart monitoring gate-less system by using RFID technologies that had been implemented in Universiti Malaysia Perlis. The objective of this system is to ease the security to monitoring the cars-in and cars-out from the main gate manually. The security can check and manage the staff by system management in PC. This smart monitoring gate-less system consists of RFID tag antenna that be attached at sticker's staff, RFID reader and software management application. For the software management application, this project used LabView as a simulation tool for the data acquisition. The data which contains of name, staff number, number plate, car model and color will be stored in cloud-based storage. All the information data can be accessed from any location because the security management can access it through mobile. This project will present how efficient the vehicle control application on campus which enable the security guard to check a car sticker either legal or illegal in a shortest way.