School of Electrical Engineering and Technology (SEET)

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School of Electrical Engineering and Technology (SEET)

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Author: search.filters.author.Ajiboye, Johnson AdegbengaStart date: 2024

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    Design and Implementation of Real Time Internet of Things (IoT) Enhanced Irrigation System
    (El-Amin University Journal of Computing (EAUJC), 2024-04-01) J. A. Ojo; Ajiboye, Johnson Adegbenga; M. A. Ajiboye; D. J. Ajiboye; H. O. Ohize; A. A. Isa
    Irrigation is a practice that has existed for a long time. Irrigation is the process of supplying water to the soil during drought or unfavourable weather conditions. Over the years, irrigation practices have evolved in order to eliminate the risk of manual irrigation. This risk includes over irrigation, under irrigation, erosion among others. Modern irrigation practices aim to reduce these problems by incorporating sensor technology, Internet of Things (IoT) and automations. The aim of this work is to design and a Real-Time IoT enhanced irrigation system which utilizes data about the condition of the environment to automate the irrigation process. This system makes use of soil moisture sensor, a rain sensor and a temperature and humidity sensor to capture real time environmental data and makes logic decisions based on the collected data. An ESP 32 microcontroller functions as the brain of the system by collecting data from the sensors and controlling the pump accordingly. The system also employs lot technology using Arduino Cloud loT platform in order to provide remote accessibility. The experimental evaluation involved subjecting the irrigation system to two distinct soil conditions; one dry and the other wet. The results demonstrate the functionality of the system: when rain sensor readings fall below the set threshold of 30% and soil moisture sensor readings drop below 15%, the irrigation pump is activated to compensate for the lack of rainfall and soil moisture. Furthermore, the system responds to environmental conditions, activating the pump for an extended period when relative humidity is below 60% and the temperature exceeds 25°C. Conversely, when the soil is already wet, indicated by high soil moisture sensor readings, the pump remains permanently turned off. This automated irrigation system showcases the potential to optimize water usage and enhance efficiency in response to dynamic environmental factors.
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    DSP in Communication Engineering - A Review
    (I3C 2024, 2024-04-22) Ajiboye, Johnson Adegbenga; Jiya Z.J; Paul M.; Ajiboye M.A; Ajiboye D.J; Majin R.N
    This paper provides a comprehensive review of Digital Signal Processing (DSP) in communication engineering, elucidating its fundamental principles, practical applications, and recent advancements. Beginning with an overview of DSP's distinguishing features and historical evolution, the paper delineates its pivotal role in processing real-world signals, including speech, image, and seismic data. Furthermore, the introduction of Software Defined Radio (SDR) is examined, underscoring its transformative impact on communication systems by enabling dynamic spectrum access and multi-standard operation through DSP algorithms. Additionally, the emergence of Quantum Signal Processing is explored, highlighting its significance in secure communication through Quantum Key Distribution (QKD) and Quantum Error Correction. Despite the benefits offered by DSP, challenges such as computational complexity and signal distortions are addressed, emphasizing the need for advanced techniques and algorithms to mitigate these issues. Ultimately, this paper elucidates DSP's enduring relevance and innovation in shaping the future of communication engineering.