Muzammil Jusoh
Thumbnail Image
Preferred name
Muzammil Jusoh
Official Name
Muzammil, Jusoh
Alternative Name
Jusoh, M.
Jusoh, Muzammil
Jusoh, Muzammi
Jusoh, Muzammir
Main Affiliation
Scopus Author ID
24483755700
Researcher ID
Z-1156-2019

Research Output

Filters
17
Reset filters

Settings
Now showing 1 - 10 of 17
  • Publication
    Optimized Intelligent Classifier for Early Breast Cancer Detection Using Ultra-Wide Band Transceiver
    ( 2022-11-01)
    Halim A.A.A.
    ;
    Allan Melvin Andrew
    ;
    Wan Azani Wan Mustafa
    ;
    Mohd Najib Mohd Yasin
    ;
    Muzammil Jusoh
    ;
    Vijayasarveswari Veeraperumal
    ;
    Abd Rahman M.A.
    ;
    Zamin N.
    ;
    Mary M.R.
    ;
    Khatun S.
    Breast cancer is the most common cancer diagnosed in women and the leading cause of cancer-related deaths among women worldwide. The death rate is high because of the lack of early signs. Due to the absence of a cure, immediate treatment is necessary to remove the cancerous cells and prolong life. For early breast cancer detection, it is crucial to propose a robust intelligent classifier with statistical feature analysis that considers parameter existence, size, and location. This paper proposes a novel Multi-Stage Feature Selection with Binary Particle Swarm Optimization (MSFS–BPSO) using Ultra-Wideband (UWB). A collection of 39,000 data samples from non-tumor and with tumor sizes ranging from 2 to 7 mm was created using realistic tissue-like dielectric materials. Subsequently, the tumor models were inserted into the heterogeneous breast phantom. The breast phantom with tumors was imaged and represented in both time and frequency domains using the UWB signal. Consequently, the dataset was fed into the MSFS–BPSO framework and started with feature normalization before it was reduced using feature dimension reduction. Then, the feature selection (based on time/frequency domain) using seven different classifiers selected the frequency domain compared to the time domain and continued to perform feature extraction. Feature selection using Analysis of Variance (ANOVA) is able to distinguish between class-correlated data. Finally, the optimum feature subset was selected using a Probabilistic Neural Network (PNN) classifier with the Binary Particle Swarm Optimization (BPSO) method. The research findings found that the MSFS–BPSO method has increased classification accuracy up to 96.3% and given good dependability even when employing an enormous data sample.
  • Publication
    Design of a 1-Bit Programmable Coding Unit Cell Beamforming Metasurface
    ( 2023-01-01)
    Johari S.
    ;
    Amri M.M.
    ;
    Mohamed Nasrun Osman
    ;
    Arif Mawardi Ismail
    ;
    Muzammil Jusoh
    ;
    Rahim M.K.A.
    Traditional phased array antennas rely on costly phase shifters to steer beams by manipulating the phase of induced currents in each antenna element. In this study, we introduce a 1-bit coding metasurface as an alternative to traditional phased array antennas for beam control and modulation of electromagnetic waves. The metasurface operates at 5.8 GHz and consists of digitally controlled unit cells, each incorporating a pin diode. These diodes enable binary coding states of "1" and "0" with a significant 180-degree phase difference. The unit cell, with a dimension of 0.81λ x 0.81λ, comprises two metal patches separated by the pin diode on an FR-4 substrate. Simulation results demonstrate the distinct behavior of the metasurface, with the off-state exhibiting a reflection amplitude response of 1.8dB and the on-state showing a reduced amplitude due to on-resistance. The far-field patterns obtained from the simulations clearly indicate a 90-degree change in the radiation pattern between bit "0" and bit "1." This innovative design offers a cost-effective solution for beam control and versatile electromagnetic wave modulation, making it suitable for various applications, including beamforming in radar and communication systems.
  • Publication
    Negative Index Metamaterial-Based Frequency-Reconfigurable Textile CPW Antenna for Microwave Imaging of Breast Cancer
    ( 2022-02-01)
    Hossain K.
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    ;
    Lee S.H.
    ;
    Rahman K.S.A.
    ;
    Kamarudin M.R.
    In this paper, we report the design and development of a metamaterial (MTM)-based directional coplanar waveguide (CPW)-fed reconfigurable textile antenna using radiofrequency (RF) varactor diodes for microwave breast imaging. Both simulation and measurement results of the proposed MTM-based CPW-fed reconfigurable textile antenna revealed a continuous frequency re-configuration to a distinct frequency band between 2.42 GHz and 3.2 GHz with a frequency ratio of 2.33:1, and with a static bandwidth at 4–15 GHz. The results also indicated that directional radiation pattern could be produced at the frequency reconfigurable region and the antenna had a peak gain of 7.56 dBi with an average efficiency of more than 67%. The MTM-based reconfigurable antenna was also tested under the deformed condition and analysed in the vicinity of the breast phantom. This microwave imaging system was used to perform simulation and measurement experiments on a custom-fabricated realistic breast phantom with heterogeneous tissue composition with image reconstruction using delay-and-sum (DAS) and delay-multiply-and-sum (DMAS) algorithms. Given that the MWI system was capable of detecting a cancer as small as 10 mm in the breast phan-tom, we propose that this technique may be used clinically for the detection of breast cancer.
  • Publication
    ENG and NZRI Characteristics of Decagonal-Shaped Metamaterial for Wearable Applications
    ( 2020-08-01)
    Hossain K.
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    ;
    Soh Ping Jack
    ;
    Fazilah A.F.M.
    ;
    Halim A.A.A.
    ;
    Raghava N.S.
    ;
    Podilchak S.K.
    ;
    Schreurs D.
    ;
    Abbasi Q.H.
    A decagonal-shaped split ring resonator metamaterial based on a wearable or textile-based material is presented in this work. Analysis and comparison of various structure sizes are compared considering a compact 6\times 6\ \mathrm{m}\mathrm{m}{2} metamaterial unit cell, in particular, where robust transmission-reflection (RTR) and Nicolson-Ross-Weir (NRW) methods have been performed to extract the effective metamaterial parameters. An investigation based on the RTR method indicated an average bandwidth of 1.39 GHz with a near-zero refractive index (NZRI) and a 2.35 GHz bandwidth when considering epsilon negative (ENG) characteristics. On the other hand, for the NRW method, approximately 0.95 GHz of NZRI bandwidth and 2.46 GHz of ENG bandwidth have been observed, respectively. These results are also within the ultra-wideband (UWB) frequency range, suggesting that the proposed unit cell structure is suitable for textile UWB antennas, biomedical sensors, related wearable systems, and other wireless body area network communication systems.
  • Publication
    A Review of Circularly Polarized Dielectric Resonator Antennas: Recent Developments and Applications
    ( 2022-12-01)
    Abd Rahman N.A.
    ;
    Mohd Najib Mohd Yasin
    ;
    Ibrahim I.M.
    ;
    Muzammil Jusoh
    ;
    Noor S.K.
    ;
    Ekscalin Emalda Mary M.R.
    ;
    Zamin N.
    ;
    Nurhayati N.
    A comprehensive review on recent developments and applications of circularly polarized (CP) dielectric resonator antennas (DRAs) is proposed in this paper. DRAs have received more considerations in various applications due to their advantages such as wide bandwidth, high gain, high efficiency, low losses, and low profile. A broad justification for circular polarization and DRAs is stated at the beginning of the review. Various techniques such as single feed, dual, or multiple feeds used by different researchers for generating circular polarization in DRAs are briefly studied in this paper. Multiple-input-multiple-output (MIMO) CP DRAs, which can increase channel capacity, link reliability, and data rate, have also been analyzed. Additionally, innovative design solutions for broadening the circular polarization bandwidth and reducing mutual coupling are studied. Several applications of DRA are also discussed comprehensively. This paper finishes with concluding remarks.
  • Publication
    A multilayered acoustic signal generator for low power energy harvesting
    ( 2017-10-10)
    Awal M.R.
    ;
    Muzammil Jusoh
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Thennarasan Sabapathy
    ;
    Mohamed Nasrun Osman
    ;
    Mohd Ilman Jais
    ;
    Kamarudin M.R.
    This paper presents the design and analysis of a multilayer cantilever to harvest vibration energy by generating acoustic signal. To do so, a five layer configuration is used to design the cantilever. Lead Zirconate Titanate (PZT-8), Stainless Steel 405 Annealed, Aluminum and Zinc Oxide are used to develop the layers. Water is used as the medium to analyze the sound propagation pattern. Sound Pressure Level, displacements and electric potential of the cantilever are analyzed along with other parameters. From the results, it is evident that, the proposed cantilever can propagate sound within a range of 78.7 dB to 73.4 dB in a 50 mm spherical distance.
  • 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
    Low-Profile and Wider-Angle Beam Tilting Parasitic Array Resonator Antenna with Optimized Deflected Ground Plane on FR-4 Substrate
    ( 2023-04-01)
    Mohd Zainudin N.A.F.
    ;
    Mohamed Nasrun Osman
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    ;
    Mohd Najib Mohd Yasin
    ;
    Mohamad M.K.
    A low-profile and wide-angle radiation pattern reconfigurable antenna is designed, analyzed, and fabricated for wireless sensor network (WSN) applications, which operate at a 2.5-GHz frequency. This work aims to minimize the number of switches and optimize the parasitic size and ground plane to achieve a steering angle of more than 30° using a low cost-high loss FR-4 substrate. The radiation pattern reconfigurability is achieved by introducing four parasitic elements surrounding a driven element. In this work, the single driven element is fed by a coaxial feed, while other parasitic elements are integrated with the RF switches on the FR-4 as the substrate with dimensions of 150 × 100 mm (1.67 × 2.5 λo). The RF switches of the parasitic elements are surface mounted on the substrate. By truncating and modifying the ground plane, the beam steering can be achieved at more than 30° on the xz plane. Additionally, the proposed antenna can attain an average tilt angle of more than 10° on the yz plane. The antenna is also capable of attaining other important results, such as a fractional bandwidth of 4% at 2.5 GHz and an average gain of 2.3 dBi for all configurations. By adopting the ON/OFF condition on the embedded RF switches, the beam steering can be controlled at a certain angle, thus increasing the tilting angle of the wireless sensor networks. With such a good performance, the proposed antenna has high potential to serve as a base station in WSN applications.
  • Publication
    Investigation on the Effect of Deflected Ground Structure in Multi-Direction Steerable Antenna for WSN
    ( 2020-03-20)
    Zainudin N.A.F.M.
    ;
    Osman M.N.
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    In this paper, a multi-direction steerable radiation pattern antenna is designed and investigated, which operates at 2.45 GHz frequency. The radiation pattern reconfigurable is achieved by locating four parasitic elements surrounding the driving element at the centre. The artificial switches, are currently used to replace the ideal diode for proof of the concept, are inserted at the specific position on the parasitic element. By controlling the state ON/OFF of the switches, the parasitic is grounded via shorting pin, thus realizing the beam steering to be directed into four direction angles; right, left, upwards and downwards. In this research, an investigation on the effect of deflected ground plane on the steering angles has been carried out. With minimum numbers of switches deployed, the proposed antenna is a potential candidate to serve as a transmitting element in WSN applications.
  • Publication
    A Compact Wideband CSRR near Zero Refractive Index and Epsilon Negative Metamaterial for Wearable Microwave Applications
    ( 2021-07-26)
    Hossain K.
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    ;
    Soh Ping Jack
    ;
    Osman M.N.
    ;
    Al-Bawri S.S.
    A complementary split-ring resonator (CSRR) decagonal shaped textile-based single-negative metamaterial (MTM), considering a frequency range from 1 to 15 GHz, is presented in this paper. Seven different unit cell arrays (i.e., 1 1, 1 2, 1 3, 2 1, 2 2, 1 3 and 3 3) are analysed to evaluate the effects of the unit-cell arrays on the resonance frequencies of the MTM. The designed unit cell arrays exhibit average negative permittivity bandwidth of 12.87 GHz (from 1 to 12.87 GHz) and an average near-zero-refractive-index (NZRI) bandwidth of 11.98 GHz (from 1.015 to 12.995 GHz). Simultaneous negative permittivity and NZRI results at L, S, C, X and Ku frequency bands indicate the proposed MTM is suitable for various wearable applications in these frequency regimes.