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R Badlishah Ahmad
Preferred name
R Badlishah Ahmad
Official Name
R Badlishah, Ahmad
Alternative Name
Ahmad, R. Badlishah
Ahmad, B.
Badlishah Ahmad, R.
Ahmad, Rashidi
Ahmad, Badlisha
Ahmed, R. Badlishah
Ahmad, R. B.
Badlishah, R.
Ahmad, R. Badli
Ahmed, Rbadlishah
Main Affiliation
Scopus Author ID
57194844651
Researcher ID
U-3211-2019
Now showing
1 - 10 of 17
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PublicationMinimum Power Allocation Cooperative Communication based on Health-Care WBAN( 2020-03-20)
;Hammood D.A. ;Alkhayyat A. ;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. -
PublicationImprovement of a millimeter-wave hexagonal patch antenna using doped graphene( 2017-01-01)
;Mohammed Taih Gatte ;Soh Ping Jack ; ;Malek F.The unique properties of graphene have widened its use for antenna applications in the recent years. However, most of previous studies are more focused on using graphene in the Tera Hertz (THz) band due to their favorable surface properties (conductivity or impedance) for antennas. This work investigates the improvement of a graphene-based millimeter wave (mm-wave) microstrip hexagonal patch antenna, its performance is known to be comparable to a conventional copper based version. As expected, the utilizing of non-doped graphene instead of conventional metal, did not has a significant improvement to the antenna performance except for its reflection coefficient in addition to a little reduction in the dielectric loss of antenna. Furthermore, it also leads to increasing in metal losses of antenna structure compared to copper. However, the biasing of the graphene layer is observed to reduce antenna metal losses considerably, besides improving other antenna performance parameters such as radiated power, radiated efficiency and gain. -
PublicationInvestigation on the Mutual Coupling Reduction in MIMO Antenna using Dual Split CSRR EBG( 2021-07-26)
;Alsayaghi A. ; ; ;Kabir Hossain ; ; ;Jayaprakasam S. ;Raghava N.S.In many applications, it is now desirable to prevent a device from being affected by an external electromagnetic field or prevent the device's intrusion into the electromagnetic field. The elimination or reduction of coupling between neighbouring systems is desired, and this is achieved through the use of electromagnetic shields and absorbers. This project focuses on an investigation that analysed the band-gap region for unit cell EBG simulation and unit cell array simulation. It is revealed that unit cell simulation provides an accurate result where the band-gap region is from 2 GHz to 3.5 GHz. The performance of the EBG is validated using a microstrip MIMO antenna. Using EBG, the S21 is reduced from -18.63 dB to -28.80 dB. Meanwhile, the MIMO antenna gain with the proposed EBG is 2.78 dBi, greater than MIMO antenna without EBG (2.47 dBi).1 17 -
PublicationA hybrid modified method of the sine cosine algorithm using latin hypercube sampling with the cuckoo search algorithm for optimization problems( 2020-11-01)
; ; ; ;Yahaya N.Z. ; ; ;Abdulmalek M. ; ; ;The metaheuristic algorithm is a popular research area for solving various optimization problems. In this study, we proposed two approaches based on the Sine Cosine Algorithm (SCA), namely, modification and hybridization. First, we attempted to solve the constraints of the original SCA by developing a modified SCA (MSCA) version with an improved identification capability of a random population using the Latin Hypercube Sampling (LHS) technique. MSCA serves to guide SCA in obtaining a better local optimum in the exploitation phase with fast convergence based on an optimum value of the solution. Second, hybridization of the MSCA (HMSCA) and the Cuckoo Search Algorithm (CSA) led to the development of the Hybrid Modified Sine Cosine Algorithm Cuckoo Search Algorithm (HMSCACSA) optimizer, which could search better optimal host nest locations in the global domain. Moreover, the HMSCACSA optimizer was validated over six classical test functions, the IEEE CEC 2017, and the IEEE CEC 2014 benchmark functions. The effectiveness of HMSCACSA was also compared with other hybrid metaheuristics such as the Particle Swarm Optimization–Grey Wolf Optimization (PSOGWO), Particle Swarm Optimization–Artificial Bee Colony (PSOABC), and Particle Swarm Optimization–Gravitational Search Algorithm (PSOGSA). In summary, the proposed HMSCACSA converged 63.89% faster and achieved a shorter Central Processing Unit (CPU) duration by a maximum of up to 43.6% compared to the other hybrid counterparts.10 46 -
PublicationReliable data transmission: An IoT health-based paradiam( 2020-11-01)
;Hammood D.A. ;Mahmoud M.S. ;Alkhayyat A. ;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.6 30 -
PublicationUWB Antenna with Artificial Magnetic Conductor (AMC) for 5G Applications( 2020-01-01)
;Syuhaimi Kassim ; ;Abdulmalek M. ; ;Jamaluddin M.H. ; ;Mohsin D.A. ;Yahya N.Z. ; ;Rani K.N.A.This paper presents the design of an ultra-wideband (UWB) antenna for Internet of Things (IoT) applications that operate within 5G operating frequencies. One of the IoT-based devices’ architecture is wireless body area networks (WBANs). WBAN allows computer device to communicate with human body signal by trading digital information like electrical conductivity. Fifth generation (5G) is the state-of-the-art generation mobile communication. A higher data speed it offers will improve data communication efficiency in WBAN system. One of the biggest challenges foreseen for the wearable UWB antenna is the antenna bandwidth. The challenge is to warrant a wideband performance throughout the operating frequency, and a trade-off with a high dielectric in proposed substrate is essential. This paper presents design and parametric analysis of an antenna using a typical industry-preferred Rogers material (RO4350B) substrate with wider bandwidth as compared to 5G frequencies, 10.125–10.225 GHz. This paper also exhibits bandwidth improvement with the presence of artificial magnetic conductor (AMC) as a metasurface. A typical UWB patch antenna was initially designed before being integrated with AMC through a parametric analysis. This paper analyzes the frequency, gain, directivity and antenna efficiency before and after optimization. This paper successfully demonstrates a slotted Y-shaped antenna design with coplanar waveguide (CPW) using a Rogers material (RO4350B) as a substrate and the bandwidth improvement by 15.6% with the AMC as a metasurface.32 2 -
PublicationMulti-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction( 2020-08-01)
;Vijayasarveswari V. ; ; ; ; ; ; ;Khatun S.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.2 39 -
PublicationMobile Green E-Waste Management Systems using IoT for Smart Campus( 2021-07-26)
; ; ;Ong B.T. ; ; ; ; ; ;Hammood D.A.This paper presents the design and development of mobile "green"electronic waste (e-waste) management systems using Internet of Things (IoT) for smart campus. The system uses Raspberry Pi 3 Model B v1.2 microcontroller for monitoring e-waste object detection, e-waste count, and bin percentage level, respectively. TensorFlow Lite application programming interface (API) is used to run Single Shot Multibox Detector (SSD)Lite-MobileNet-v2 model trained on Microsoft Common Objects in Context (MSCOCO) dataset for e-waste object detection in image. All the monitoring data are stored and retrieved in ThingSpeak cloud platform using Hypertext Transfer Protocol (HTTP) and Message Queuing Telemetry Transport (MQTT) protocol over the Internet and displayed via interactive Android-based mobile user interface (UI). Furthermore, automatic e-mail notification will be sent to waste collector for bin collection whenever e-waste bin percentage level is greater than predetermined threshold value of 80% full.3 30 -
PublicationReview: Optimization algorithms in Wireless Body Area Networks( 2020-03-20)
;Hammood D.A. ; ;Alkhayyat A.Wireless body area network is abbreviated as WBAN. This kind has been originated after the getting of wireless sensor network developing to a certain kind of being matured. That has been likely owing to the huge advance directing to usable wireless comfortable scientific knowledge as well as electronic componential parts that can be tiny. definitely, such research has obtained important attention nowadays owing to its practical uses which mainly can be in the direction of the sector of health care. Nowadays, a small sensor can be put on the body of humans for recording different mental parameters and this sensor is able to send collected information towards another device in order to get more important behaviours taken. Thus, that is utilized to diagnose illnesses as well as improving dangerous problems alert systems in health field. In this paper, various wireless body area network protocols and algorithms are viewed to optimize QoS in WBAN to improve network lifetime. Such as energy-efficient, duty cycle, power consumption, end to end delay using optimization algorithms.19 1 -
PublicationCryptanalysis cipher text using new modeling: Text encryption using elliptic curve cryptography( 2020-01-08)
;Naji M.A. ;Hammood D.A. ;Atee H.A. ;Jebur R.S. ;Cryptanalysis is the investigation of cipher content, ciphers and cryptosystems with the point of seeing how they work and finding and improving procedures for crushing or debilitating. Elliptic Curve Cryptography is one of the newest fields in cryptography field. This paper has proposed a new technique where classical techniques are replaced with new technique by changing characters with affine points. This technique avoids costly mapping.23 2