Browsing by Author "Nansukusa, Yudaya"

Now showing 1 - 4 of 4
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    The differences between single diode model and double diode models of a solar photovoltaic cells: systematic review
    (Journal of Engineering, Technology & Applied Science, 2023-08-21) Eze, Val Hyginus Udoka; Kalyankolo, Umaru; Edozie, Enerst; Nafuna, Ritah; Nansukusa, Yudaya
    This research paper systematically reviewed and investigated single diode model and double diode model of a solar photovoltaic systems in terms of accuracy, differences under major unknown PV parameters, different optimization and fabrication. This research paper reviewed the differences and the similarities between the single diode model and double diode model. From the review, it was clear that single diode model has less computation time and number of unknown parameters compared to double diode model. The double diode model on its own superiority is more accurate under solar shading condition effect than single diode model but single diode model performs better under high insolation levels. None of the two models is superior than the other but the solar photovoltaic modelers/installers should bear the solar irradiance of the environment before installation.
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    Mobile disinfectant spraying robot and its implementation components for virus outbreak: Case study of COVID-19
    (International Journal of Artificial Intelligence, 2023-07-28) Udoka, Eze Val Hyginus; Edozie, Enerst; Musika, Davis; Twijuke, Dickens; Wantimba, Janat; Okafor, Wisdom O.; Kalyankolo, Umaru; Nafuna, Ritah; Nansukusa, Yudaya
    The virus pandemic COVID-19 outbreak brought a huge pressure to the public healthcare system worldwide, especially in developing African countries like Uganda. The Educational system and institutions were put on a standstill due to no quick countermeasures to make the environment clean and safe for normal activities to continue. This paper successfully and comprehensively reviewed the Bluetooth and smart disinfectant spraying robot that successfully controlled the spread of the deadly virus. It also detailed different components that made up the complete spraying robot systems and from this it was observed that spraying robot systems are made up of almost the same components for implementations but differs on program that is embedded on the microcontroller due to different functions. This programing differs based on the functions that the designer/programmer wants the robot to do despite using almost the same components. This research review paper will act as guide for future researchers when designing and implementing a mobile spraying robot.
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    PLC based speed control in a color sorting system: A design and simulation perspective
    (Journal of Engineering, Technology and Applied Science, 2025-04-25) Kalyankolo, Umaru; Munguleni, Marlon; Nansukusa, Yudaya; Asikuru, Salaama; Nafuna, Ritah; Kalyankolo, Zaina
    For simulation purposes in Factory IO and TIA Portal, the research is tailored to emulate industrial sorting operations. In numerous industrial scenarios, sorting operations play a crucial role, with objects segregated based on various criteria such as dimensions, colors, weight, and material composition. For instance, within Thermal Power Stations, electromagnetic sorting techniques are employed to separate ferromagnetic materials from coal. This research specifically focuses on sorting goods based on color, with adjustable speed parameters to match production rates. The system is equipped with a digital display screen, providing real-time feedback on the count of sorted objects, and receives an analog speed signal from the PLC for precise control. This research is divided into two primary components, i.e. Software and Simulation in Factory IO. The software aspect involves the implementation of ladder logic programming in TIA Portal, enabling systematic control of the entire research process based on the input data sequence, while the simulation in Factory IO is encompasses the virtual representation of conveyors for object transportation and RGB color vision sensors for color detection. The entry conveyor features two branches to load objects onto the respective conveyors, directed by the sorting logic implemented in TIA Portal.
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    Towards a framework for bias prevention to ensure open data quality
    (International Journal Corner, 2024-12-31) Nansukusa, Yudaya; Kalyankolo, Umaru
    The rapid growth of open data initiatives has emphasized their potential to enhance transparency, foster innovation, and support equitable decision-making across sectors. However, the quality and reliability of open data remain compromised by biases that alter outcomes and spread inequalities. This paper critically examines the systemic sources of bias, including sampling, annotator, and algorithmic biases, that undermine data integrity and decision-making processes. It proposes a comprehensive framework to mitigate these biases through standardized data management protocols, inclusive data collection practices, robust data stewardship, and cross-sector collaboration. The study also highlights the ethical imperatives and practical challenges of bias prevention, emphasizing the need to balance inclusivity with privacy and resource constraints. By prioritizing fairness, inclusivity, and dependability, the proposed interventions aim to enhance the credibility and societal impact of open data, reaffirming its role as a catalyst for equitable innovation and policy development. The findings underscore that addressing biases in open data is not only a technical necessity but also a moral imperative essential for sustaining its transformative potential.