Mohammed Dahiru BuhariKampala International University · Electrical and Computer Engineering
Mohammed Dahiru Buhari
B.Eng, MSc, Ph.D, MIET, CEng, MNSE RG(COREN)
About
24
Publications
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Introduction
Dr. Mohammed D. Buhari is currently a lecturer at the Department of Electrical and Electronic Engineering, ATBU Bauchi, Nigeria, and Kampala International University, Uganda. With vast international experience in Microwave sensing and imaging system, algorithm development, internet of things (IoT) in the areas of Agric-IoT, medical health-IoT (Innovate UK), and RF sensing for NDT&E application (Newcastle University, UK). He has been involved in projects across Nigeria, the UK, and Saudi Arabia.
Publications
Publications (24)
This paper provides an in-depth examination of crucial signal processing methods essential for analyzing and interpreting various signals, particularly in the realm of speech. The reviewed techniques include the Fourier transform, Mel-Frequency Cepstral Coefficients (MFCCs), Hidden Markov Models (HMMs), Deep Neural Networks (DNNs), and waveform cod...
Digital Signal Processing (DSP) is a powerful technology that helps in making sense of various signals, like sounds and images, using computers. This review paper explains the meaning of DSP, shows how it works to process and enhance signals. It explores the wide range of signal processing methods, categorizing them from basic noise reduction to ad...
This research project aims to design and evaluate a solar PV-biomass hybrid energy system for rural electrification in the Ugandan district of Kebisoni Rukungiri. The study uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) method to improve precision and modeling accuracy. Solar radiation levels and biomass sources are sourced from NASA's webs...
The accurate diagnosis of cardiovascular conditions relies heavily on Electrocardiogram (ECG) signals, yet persistent interference challenges, including baseline wander, powerline interference, and muscle artifacts, compromise clinical accuracy. This study comprehensively explores cutting-edge preprocessing techniques aimed at addressing multifacet...
This paper provides an in-depth examination of crucial signal processing methods essential for analyzing and interpreting various signals, particularly in the realm of speech. The reviewed techniques include the Fourier transform, Mel-Frequency Cepstral Coefficients (MFCCs), Hidden Markov Models (HMMs), Deep Neural Networks (DNNs), and waveform cod...
Telemedicine networks have seen significant changes in their capacity, monitoring, management, and control framework during the previous decades. The evolution of network capacity, control, and management for Unmanned Aerial Vehicle (UAV) & Software-Defined Networks (SDN) as support to telemedicine, artificial intelligence in telemedicine networks,...
One of the essential parts of any synthetic aperture radar (SAR) based microwave imaging system for pipeline inspection is the antenna, which determines the system ability to detect defects on an object reconstructed image. As the standoff distance increases, the antenna’s ability to detect defects on a material becomes influenced by the field of o...
The major goal of this paper is to use image enhancement techniques for enhancing and extracting data in FANET applications to improve the efficiency of surveillance. The proposed conceptual system design can improve the likelihood of FANET operations in oil pipeline surveillance, and sports and media coverage with the ultimate goal of providing ef...
This research focuses on the reliability study of the electrical distribution network in Kampala East, which is connected to Lugogo, Nakawa, Kireka and Ntinda substations. The network is unable to supply its customers with reliable power at all times. Methods used in this research involve data identification, collection, cleaning, analyzing and int...
Ultrawideband (UWB) technology has attracted a lot of attention for indoor and outdoor positioning systems due to its high accuracy and robustness in non-line-of-sight (NLOS) environments. However, UWB signals are affected by multipath propagation which causes errors in localization. To overcome this problem, researchers have proposed various techn...
Due to the widespread installation of Base Stations, the power consumption of cellular communication is increasing rapidly (BSs). Power consumption rises as traffic does, however this scenario varies from geolocation to geolocation because sites in rural and urban areas have variable traffic loads. Therefore, in order to address various power consu...
The major goal of this paper is to use image enhancement techniques for enhancing and extracting data in FANET applications to improve the efficiency of surveillance. The proposed conceptual system design can improve the likelihood of FANET operations in oil pipeline surveillance, and sports and media coverage with the ultimate goal of providing ef...
In non-destructive testing and evaluation, microwave-based synthetic aperture radar (SAR) imaging have shown great potential in the detection of defects on buried objects such as pipes. However, due to pipe curvature and high standoff distance when inspecting an insulated pipe, the useful defect information used to characterise the pipe image is lo...
In synthetic aperture radar (SAR) applications, high-resolution images and effective estimation processes are vital for the reconstruction of any targets. This can be achieved using multicarrier waveforms such as orthogonal frequency division multiplexing (OFDM) with the help of appropriate signal processing algorithms. However, the quality of the...
The comfort and safety of driving vehicles largely depends on state of the tires. However, inspecting defects within tires is a challenging task. Numerous inspection methods have been proposed such as X-ray, impact-acoustic and machine vision. X-ray is a mature method providing high-resolution images of tire structure but it is costly and requires...
In this paper, we investigate an adaptive Orthogonal Frequency Division Multiplexing (OFDM) subcarrier design for a Synthetic Aperture Radar (SAR) system that can be used in Through-the-Wall radar Imaging (TWI), detection of hidden object and pipelines inspection. At first, an OFDM SAR model is developed for a single target detection. The target is...
In Synthetic Aperture Radar (SAR) image reconstruction, the quality of the image depends on the range and cross range resolution to resolve multiple target positions. If the distance between the targets is less than both SAR resolutions, the radar imaged them as one single target. To overcome this challenge, Orthogonal Frequency Division Multiplexi...
This paper investigates the use of Ultra Wideband (UWB) Orthogonal Frequency Division Multiplexing (OFDM) in Synthetic Aperture Radar (SAR) imaging for multiple targets. The system geometry is presented with the necessary conditions for multiple target resolvability. These conditions are specified by the cross-range and range resolutions. If any of...