Mohammed M. Bait‐Suwailam

Sultan Qaboos University

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Omar M. Ramahi

University of Waterloo

Hassan Al-Lawati

Sultan Qaboos University

Thamer S. Almoneef

Prince Sattam Bin Abdulaziz University

Ajmal Khan

Woosong University

Akram Alomainy

Queen Mary University of London

Zia Nadir

Sultan Qaboos University

Afshin Moradi

Kermanshah University of Technology

Haitham Al Ajmi

Sultan Qaboos University

Yaseen Al-Mulla

Sultan Qaboos University

Leila Yousefi

University of Tehran

Cooperative Institutions

Sultan Qaboos University

University of Waterloo

Muscat College

COMSATS University Islamabad

King Fahd University of Petroleum and Minerals

Prince Sattam Bin Abdulaziz University

Sultan Qaboos University Hospital

King Abdullah University of Science and Technology

United Arab Emirates University

Tun Hussein Onn University of Malaysia

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MINIATURIZED BANDSTOP FILTERS USING SLOTTED-COMPLEMENTARY RESONATORS

International Journal of Digital Information and Wireless Communications (2014)

Mohammed M. Bait‐Suwailam

This paper presents a technique to miniaturize bandstop filters applicable for radiofrequency/microwave applications. The technique comprises the use of small resonant inclusions bridged with a slot, etched from the metallic ground plane underneath the filter’s microstrip line segment. Unlike artificial magnetic materials, for instance split-ring resonators (SRRs) that respond to vertical magnetic field, complementary SRRs (CSRRs) resonate upon an excitation of an axial time-varying electric field. Numerical full-wave studies are presented here to validate and proof the proposed concepts. It is found that high miniaturization factors can be achieved for the filters loaded with the proposed slotted complementary resonators in comparison to nonslotted resonators. Furthermore, sensitivity analysis is conducted to study the effect of geometrical parameters of the proposed slotted resonators as well as the effect of the choice of host media on the suppression bandwidth and rejection level of such filters. Miniaturized bandstop filters based on developed slotted-complementary spiral resonators are also proposed and numerically evaluated.

10.17781/p001293

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Citations (2)

Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain

International Journal of Electronics and Telecommunications (2021)

Nawal Al-Aamri Zia Nadir Mohammed M. Bait‐Suwailam Hassan Al-Lawati

Nowadays, the world is turning into technology, fast internet and high signal quality.To ensure high signal quality, the network planners have to predict the pathloss and signal strength of the transmitted signal at specific distances in the design stage.The aim of this research is to provide a generalized pathloss model to suit the urban area in Muscat Governorate in the Sultanate of Oman.The research covers 5G network pathloss in the Muttrah Business District (MBD) area.It includes Close In (CI) model and Alpha Beta Gamma (ABG) model with 3.45GHz.The results of 5G models were compared with real experimental data in MBD by calculating Root Mean Square Error RMSE.Other cells at MBD area were used for reverification.To validate the modified pathloss models of 5G, they were applied at different cells in Alkhoud area.Furthermore, this paper also deals the effect of Specific Absorption Rate (SAR) on the human brain for ensuring safety due to close proximity to cell towers.The SAR values were calculated indirectly from the electric field strength of different antennas.Calculated results were compared with the international standards defined limits on the human brain.

Characterization

Human brain

10.24425/ijet.2022.139888

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International Technical Advisory Committee

Mohamed‐Slim Alouini F Akyildiz Ben Jalel Shan Mohammad Imran Shafique Ansari

Advisory committee

10.1109/menacomm50742.2021.9678224

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Microwave Sensors for Soil Moisture Detection: An Application toward Healthy Date Palm

IntechOpen eBooks (2022)

Mohammed M. Bait‐Suwailam Rand Mousa Tbaileh Hassan Al-Lawati Yaseen Al-Mulla

Soil moisture is an important key parameter in the earth ecosystem that has an impact on both landscape and atmospheric conditions. Moreover, sudden changes to soil moisture due to environmental conditions result in degradation to food plants and, thus, may consequently affect food yields. This chapter aims to investigate numerically an application for crops health through soil moisture detection using microwave-based sensors. The numerical studies are carried out using full-wave electromagnetic simulations. More emphasis on the numerical setup of microwave antennas with customized modeled soil layer is presented.

Soil moisture sensor

10.5772/intechopen.109152

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Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data

Abdulrahim Al Maskari Mohammed M. Bait‐Suwailam

In this paper, we present numerical assessments of vegetation land cover that is located nearby recharge dams in Oman. The study focuses on the use of remote sensing through retrieved imagery data using the Operational Line Imager (OLI) sensor of Landsat-Among many other popular water dams in the Sultanate, this numerical study investigates the impact of two nearby dams on surroundings vegetation land cover. Based on the numerical analysis over the period between 2013 and 2020, many interesting features of vegetation land cover were observed, including vegetation land and dams’ water surface areas. An interesting observation from imagery data of the studied water dams is that such dams have been utilized well for the suggested study period.

Land Cover

Vegetation Cover

10.1109/agers53903.2021.9617400

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V2I-VTL: IoT-Enabled adaptive traffic light controller and emission reduction at intersection

PeerJ Computer Science (2024)

Ajmal Khan Shams Rahman Farman Ullah Muhammad Ilyas Khattak Mohammed M. Bait‐Suwailam

Traffic congestion is a growing concern in urban centers worldwide, leading to significant delays, particularly for emergency vehicles such as fire trucks and ambulances. This not only increases emergency response time but also the risk of life and property loss. To address this issue, our research introduces a traffic control system that prioritizes emergency vehicle egress and mitigates intersection congestion. Other than validation through simulation, the system’s efficacy is further substantiated by real-world hardware implementation. The system employs an access point (AP) at intersections to receive location and direction data from approaching vehicles. Emergency vehicles are given precedence, while non- emergency vehicle data is used to adjust traffic light durations, thereby optimizing the traffic flow. The simulation results demonstrate the system’s reduced lane opening times and average waiting periods for emergency vehicles. Advancing from simulation to application, we have executed a real-world hardware validation at a high-traffic intersection. This phase entailed the precise installation and calibration of the necessary hardware components, transitioning from theoretical models to practical, operational technology. The hardware setup confirms the system’s practical viability and offers a more comprehensive assessment of its impact on traffic efficiency and emergency response times. This dual approach of simulation and hardware validation provides a thorough evaluation of the system’s capabilities, establishing a foundation for future traffic management solutions. Additionally, the implementation of the system leads to a notable reduction in CO2 emissions at intersections, contributing to environmental sustainability efforts.

10.7717/peerj-cs.2507

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Magnetostatic waves in metallic rectangular waveguides filled with uniaxial negative permeability media

Journal of Applied Physics (2024)

Afshin Moradi Mohammed M. Bait‐Suwailam

The propagation characteristics of magneto-quasistatic waves, more commonly, known as magnetostatic waves in a long, metallic rectangular waveguide filled with a metamaterial slab are comprehensively investigated. The metamaterial slab consists of split-ring resonators as an anisotropic uniaxial medium with transversal negative effective permeability. Some analytical relations and numerical validations on the characteristics of these waves are presented. The results include the dispersion relations, mode patterns (field distributions) that can be supported by such media, and their corresponding cutoff frequencies, group velocities, power flows, and storage energies of magnetostatic waves. The findings from the present research study can be advantageous to advance the synthesis and development of negative permeability materials with peculiar features in guiding structures.

Slab

Dispersion relation

Quasistatic process

10.1063/5.0187806

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Prediction Enhancement of Metasurface Absorber Design Using Adaptive Cascaded Deep Learning (ACDL) Model

Electronics (2024)

Haitham Al Ajmi Mohammed M. Bait‐Suwailam Lazhar Khriji Hassan Al-Lawati

This paper presents a customized adaptive cascaded deep learning (ACDL) model for the design and performance prediction of metasurface absorbers. A multi-resonant metasurface absorber structure is introduced, with 10 target-driven design parameters. The proposed deep learning model takes advantage of cascading several sub-deep neural network (DNN) layers with forward noise mitigation capabilities. The inherent appearance of sparse data is dealt with in this work by proposing a trained data-adaptive selection technique. On the basis of the findings, the prediction response is quite fast and accurate enough to retrieve the design parameters of the studied metasurface absorber with two patches of 4000- and 7000-sample datasets. The training loss taken from the second DNN of our proposed model showed logarithmic mean squared errors of 0.039 and 0.033 when using Keras and the adaptive method, respectively, with a dataset split of 4000. On the contrary, for a dataset split of 7000, the errors were 0.049 with Keras and 0.045 with the adaptive method. On the other hand, the validation loss was evaluated using the mean square error method, which resulted in a loss of 0.044 with the 4000-sample datasets split with the Keras method, while this was 0.020 with the adaptive method. When extending the dataset to 7000 samples, the validation loss with the Keras splitting method was 0.0073, while it was improved, reaching 0.006, with the proposed adaptive method, and achieved a prediction accuracy of 94%. This proposed deep learning model can be deployed in the design process and synthesis of multi-resonant metasurface absorber structures. The proposed model shows the advantages of making the design process more efficient in sparse dataset handling, being an efficient approach in multi-resonance metasurface data pre-processing, being less time consuming, and being computationally valuable.

10.3390/electronics13050822

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Impact and Assessment of Coastal Erosion Using Remote Sensing and GIS Techniques

Springer eBooks (2024)

Omar Wazwaz Mohammed M. Bait‐Suwailam

Coastal erosion

10.1007/978-1-4614-6431-0_176-1

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Electromagnetic Coupling Reduction in High-Profile Monopole Antennas Using Single-Negative Magnetic Metamaterials for MIMO Applications

IEEE Transactions on Antennas and Propagation (2010)

Mohammed M. Bait‐Suwailam Muhammed S. Boybay Omar M. Ramahi

Single-negative magnetic metamaterials are used in order to reduce mutual coupling between high-profile antennas used in multiple-input multiple-output systems. The magnetic permeability of the developed single-negative inclusions have negative effective response over a specific frequency band. The inclusions considered here are composed of broadside coupled split-ring resonators. The single-negative magnetic inclusions are inserted between closely-spaced high-profile monopole antenna elements. It is shown that mutual coupling between the antenna elements can be reduced significantly by incorporating such magnetic inclusions. Effective response of the constitutive parameters of the developed magnetic inclusions are incorporated within the numerical models. Good agreement is obtained between the experimental and numerical results.

Split-ring resonator

10.1109/tap.2010.2052560

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Citations (175)