Computer Engineering

Permanent URI for this collectionhttp://197.211.34.35:4000/handle/123456789/128

Computer Engineering

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    Artificial Neural Network Application for Error Estimation in Wireless Sensor Network
    (IEEE Forum (ICSTEM), 2017-05-06) Agajo, J., Kolo, J. G., Maliki, D., Umar, B. U., Inalegwu, O. C.
    This paper comes up with an error estimation model for Wireless Sensor Nodes,, the integrity of data received after transmission within a signal coverage range less or equal to 45 metres is analysed, Neural Network linear regression method was used to evolve resolve equation that compares error with weight of data received as δ℮(w) against δwij , an equation for error rate was also evolved after carefully comparing between data packet transmitted and Packet received, error rate er for sensor node was calculated to be 0.00918 thereby establishing the fact that expected packet to be received for every data transmitted is the product of er and Packet Transmitted.
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    Evaluation of Speech Quality Based on QoS Key Performance Index (KPI): A Survey
    (Federal University of Technology Minna, 2017-05-06) Gbadamosi, A. S., & Maliki, D.
    The utmost contest between cellular operators have left the customers highly selective with the quality of speech based on the quality of service (QoS) experienced. In order to quantitatively and qualify the network performance based on speech quality, different key performance indicators (KPI) used, are classified to aid data collection methods that are used to reduce impairment as its affect speech are discussed and classified according to their operational mode. It provides a detailed report about the perceptuality of speech quality and its statistical expectation of the network. Each of these techniques has its advantages and disadvantages as applied to underscore the network performance from a user’s point of view. These techniques evaluate degradation caused by various impairments in cellular networks. Its I s our hope that, if user get hold of these applications, it will go a long way to keep cellular operators on their toes
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    Development of A Model for Generation of Examination Time Using Genetic Algorithm
    (Federal University of Technology Minna, 2019-04-22) Ahmed, A., Umar, B. U., Abdullahi, I. M., Maliki, D., Anda, I., & Kamaldeen, J. A
    Examination time table scheduling problem is one of the complexes, NP-complete and typical combinational optimization problem faced by the university community across the globe. Many researches have studies the problem due to its NP-complete nature and highly-multi-constrained problem which seeks to find possible scheduling for courses. Creating an examination timetable for university is a very difficult, time-consuming and the wider complex problem of scheduling, especially when the number of students and courses are high. Several factors are responsible for the problem: increases number of students, the aggregation of schools, changes in educational paradigms, among others. In most universities, the examination time table schedule is usually ended up with various courses clashing with one another. I order to solve this problem of time table scheduling for University examination and effective utilization of resources, this research proposed a model for examination time table generation using Genetic Algorithm (GA) probabilistic operators. GA has been successful in solving many optimization problems, including University time table. This is based on the fact that GA is accurate, precise, free from human error and robust for complex space problem. GA theory was also covered with emphasis on the use of fitness function and time to evaluate the result. The effects of altered mutation rate and population size are tested. By using Genetic algorithm, we are able to reduce the time required to generate a timetable which is more accurate, precise and free of human errors. The implication of this research is a solution, minimizing the time taken in timetable allocation and the clashing that usually characterize time table schedule.
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    Investigating the Thresholding Effect and Fingerprint Transformation Using Cross-Correlation Similarity Matching
    (Faculty of Science Lafiya, 2025-01-17) Garuba O.R., Abdullahi, I.M., Dogo, E.M., & Maliki, D
    One of the leading diseases globally is cancer and breast cancer is not exempted. The objective of the WHO Global Breast Cancer Initiative (GBCI) is to reduce global breast cancer mortality by 2.5% per year, thereby averting 2.5 million breast cancer deaths globally between 2020 and 2040. The three pillars toward achieving these objectives are: health promotion for early detection; timely diagnosis; and comprehensive breast cancer management. In this study we propose an early and comprehensive detection technique in combating breast cancer diagnosis by combining the strength of both PSO (Particle Swarm Optimization) and BPSO (Binary Particle Swarm Optimization) to achieve optimal solution. The results obtained indicated the superiority of the Hybrid PSO-BPSO model in detection over an existing solution by achieving an accuracy of 98.82% on both the WBCD and WDBC datasets.
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    Blockchain Technology in Healthcare Systems: Applications, Methodology, Problems, and Current Trends.
    (2021-04-19) Dauda, I. A., Nuhu, B. K., Abubakar, J., Abdullahi, I. M., & Maliki, D.
    Blockchain Technology (BT) is a secured ledger that has the potential to enhance the safety, quality as well as efficiency of healthcare provision. This will benefit healthcare administrators and healthcare end-users. This paper is focused on expanding the significance of blockchain technology in healthcare information. It identifies those aspects that are not being recorded by many researchers in establishing the prospects of Blockchain Technology in the healthcare domain. Accordingly, the paper looked at Blockchain involvement in administering healthcare services such as telemedicine, health information exchange, and electronic prescribing. The review can discover the huge potential of Blockchain technology in healthcare such as in storing healthcare data on a shared Block that is accessible to concerned stakeholders without undue privacy distresses. This research provides the desired guide and identified open perspectives for researchers that will improve the level of adoption of Blockchain in the healthcare domain.
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    Unimodal Medical Image Registration using Elite Opposition Bacterial Foraging Optimization Algorithm
    (JOURNAL OF SCIENCE TECHNOLOGY AND EDUCATION, 2022-09-08) Maliki, D., Muazu, M.B., Kolo J.G., & Olaniyi, O.M
    Medical imaging applications frequently use image registration for a variety of purposes, and the search of an ideal image transformation parameters that align the two images (reference and floating) is still an optimization challenge. Medical image registration has been optimized using different metaheuristics optimization strategies. One method, the Bacterial Foraging Algorithm (BFOA), has issues of poor exploration and low convergence to a better solution. This research work presents the Elite Opposition Bacterial Foraging Optimization Algorithm (EOBFOA) for optimizing unimodal medical image registration. The EOBFOA is an enhanced version of Bacterial Foraging Algorithm (BFOA) using the Elite Opposition Strategy. The proposed EOBFOA uses Root Mean Square Error (RMSE) as a measure to determine the accuracy of the image registration process. The performance of the image registration using the EOBFOA was compared against other existing nature inspired algorithms. The obtained results shown that the proposed EOBFOA outperformed other algorithms in searching for the best optimum transformation parameters for the image registration.
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    Development of an IoT Based Irrigation Control System using Convolutional Neural Network
    (JOURNAL OF SCIENCE TECHNOLOGY AND EDUCATION, 2023-06-22) Adamu, M., Abdul-Malik, U. T., Maliki, D
    The automation of irrigation activities has the potential to revolutionize traditional manual and static irrigation practices, leading to increased productivity with reduced human intervention. Manual irrigation practices often result in water wastage or inadequate water supply to specific crops, as different crops have varying water requirements (crop water need). Moreover, manual irrigation methods consume significant time and effort, especially when the farmland is located at a distance. This paper presents an IoT-based irrigation system that utilizes computer vision technology to capture and recognize crops in the irrigation field using a Convolutional Neural Network (CNN) model. The developed system continuously monitors and maintains the optimal soil moisture content for each specific crop, employing soil moisture and temperature sensors. The control unit of the system is implemented using the Raspberry Pi 3b+ platform. The performance of the developed system was evaluated using two key metrics: Accuracy and Response time. The CNN model achieved high accuracy, with a stabilized accuracy of 95 percent after 50 epochs of training and validation, using a dataset of 800 pictures. This indicates the system's capability to accurately identify crops in the field. The response time of the system was assessed through ten trials, resulting in an average response time of 14.3 seconds, which is considered satisfactory. The findings of this study demonstrate the effectiveness of the proposed IoT-based irrigation system in automating irrigation processes and optimizing water usage. By integrating crop recognition, soil moisture monitoring, and temperature sensing, the system ensures efficient irrigation practices, reducing water wastage and minimizing human effort. The successful implementation of the developed system paves the way for intelligent and dynamic irrigation systems, fostering higher agricultural productivity and sustainable water resource management
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    An Electronic Voting System with Directed Acyclic Graph (DAG)- Based Blockchain Using ShimmerEVM
    (El-Amin University Journal of Computing (EAUJC)., 2024-04-07) Maliki. D., C. Oruche, I. M. Abdullahi, B. G Najashi, O. R. Isah
    This research introduces an innovative electronic voting system that enhances transparency, anonymity, and reliability, aiming to revolutionize both traditional and existing electronic voting methodologies. The system increases accessibility, security, and efficiency in the electoral process. Advanced web development technologies, including NextJs, TailwindCSS, TypeScript, and JWT tokens, are integrated for an improved e-voting experience. This system employs encryption and cryptographic hashes to secure sensitive information, alongside smart contracts on ShimmerEVM— a Directed Acyclic Graph (DAG)-based blockchain—to ensure data persistence and immutability. A user-friendly front-end interface serves as a portal to the web application, enabling seamless interaction with the ShimmerEVM network. A critical feature of the system is the activation of a biometric hardware component, essential for voter registration and participation. ShimmerEVM facilitates the execution of smart contracts, offering a decentralized, transparent, and secure environment without relying on traditional blockchain technology. The focus of this system is on the implementation of security-centric smart contracts, which are pivotal in maintaining voting data integrity and mitigating the risks of vote count manipulation.
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    Development of Feedback Mechanism for Microcontroller Based SMS Electronic Strolling Message Display Board. African Journal of Computing & ICT
    (African Journal of Computing & ICT, 2014-08-12) Dogo, E.M., Akogbe A.M., Folorunsho, T. A., Maliki, D., & Akindele, A
    Digital electronic display board is fast gaining acceptance and application in different spheres of life which include educational education institution, public utility places and in advertisement due to the problem associated with constitution of signposts and manually placement of papers on walls, buildings, and edifies which makes the environment look untidy. This paper presents the design and development of a microcontroller based electronic strolling message display board, which will be used to display messages and information in real-time via SMS. This microcontroller based electronic strolling message display board offers the flexibility to a user to control the message or information displayed without recourse to geographical location of the user, provided there is GSM (Global System for Mobile Communication) mobile network. It therefore eliminates the inconveniences of physically going to the display board to manually input information using a computer system. The paper also incorporates a feedback mechanism from the remote display board to ascertain that the message sent by the user has been displayed. The circuit of the devices is designed based on PIC18F4520 microcontroller and C-programming language is used to program the microcontroller.
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    Intelligent Bi-modal Timetable-aware Biometric Attendance System for Enhanced Classroom Attendance
    (Journal of Contents Computing, 2022-08-22) Abdullah I. M., Maliki, D., Abubakar, A., Jung, Y. A., Kim, K., & Aliyu, A
    Attendance management is integral to many organizations and academic institutions. The manner in which attendance is managed has evolved over the years encompassing various techniques and methodologies. Although significant improvements have been made, existing systems are mostly standalone systems without proper monitoring and control from a central point. This makes it difficult for several attendance devices to be linked by a common scheme like a timetable schedule. This is integral because the lives of students in every academic institution revolves around a schedule of events and classes. There is also a need to maximize the use of the data generated from attendance systems to make meaningful decisions and predictions about students’ academic activities. The research led to the implementation of several modules which includes the key timetable schedule module and an elaborate API structure deployed to a central server for a centralized communication network between attendance devices instead of standalone devices as traditional systems have employed. The research also investigates factors affecting the performance of students and which of these factors is the greater determinant. From the results and dataset investigated, it was found that attendance is in fact not the primary determinant of students’ academic performance. Extra educational support, extra-curricular activities and family support are the top ranked factors affecting academic performance in accordance with the results obtained from this work.