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All Journal Asian Journal of Science, Technology, Engineering, and Art
Nwabueze, C. A.
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Arts Computer Science & IT Engineering Social Sciences

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Lightning on Overhead Transmission Lines: Dangers and Safety Measures Imo, F. U.; Nwabueze, C. A.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i5.7465

Abstract

Lightning-induced disruptions on power transmission lines remain a major cause of faults in high-voltage systems, often resulting in service interruptions, equipment damage, and compromised grid stability. This study examines the primary mechanisms through which lightning impacts transmission infrastructure, including back flashover, shielding failure, and induced overvoltage. To mitigate these effects and enhance system reliability, a range of protective measures are analyzed. These include enhancing insulation levels, installing controllable discharge lightning rods, reducing tower grounding resistance, deploying coupling ground wires, and utilizing line surge arrestors. Each technique is evaluated for its effectiveness in minimizing lightning-related faults and ensuring a stable power supply. The findings emphasize the importance of integrated protection strategies tailored to specific environmental and system conditions. By implementing these safeguarding measures, utilities can significantly reduce lightning-related outages and improve the resilience of power transmission networks.
Enhancement of Quality of Service (QoS) through Improvement of WCDMA Capacity Imo, F. U.; Nwabueze, C. A.; Aluhumile, Erukpe P.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i4.6648

Abstract

Achieving maximum customer satisfaction in the Global System for Mobile Communications (GSM) industry has become increasingly challenging due to heightened awareness of consumer rights, population growth, and economic expansion. A critical factor influencing service delivery is network congestion, which significantly impacts the Quality of Service (QoS), a key performance indicator (KPI) used to assess the efficiency of telecommunication services provided to end users. Core metrics for evaluating QoS include accessibility, voice connection quality, and retainability. While various studies have explored methods to mitigate congestion, interference remains a major constraint on the capacity of Wideband Code Division Multiple Access (WCDMA) systems, especially in regions where population density fluctuates, forming high-demand zones or "hot spots." This study investigates the application of adaptive sectorization as a strategy to reduce co-channel interference. The methodology involves modifying the number of antennas in the base station array, analyzing energy leakage between users, and examining the resulting radiation patterns for three mobile devices to measure inter-user interference. Results indicate that increasing the number of antennas narrows radiation beams and reduces off-diagonal interference levels. The findings demonstrate that adaptive sectorization consistently enhances system capacity, with particularly notable improvements in scenarios where user concentration in hot spots significantly exceeds that in surrounding areas.
Performance Analysis of Smart Speed Variation in Electric Vehicles Using the Combination of Fuzzy Logic Controller Imo, F. U.; Aluhumile, Erukpe P.; Nwabueze, C. A.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i4.6649

Abstract

Electric vehicles (EVs) have emerged as a response to the increasing environmental impact of combustion engines and the rising demand for fossil fuels, offering a sustainable alternative to meet the growing transportation needs that underpin economic development. Ensuring the safe operation of EVs on existing road infrastructure, particularly in environments with physical speed breakers, remains a critical concern. Speed bumps are commonly used to prevent collisions due to excessive speeding; however, they often compromise driving comfort and pose safety risks when encountered unexpectedly. This study proposes a smart speed control system for electric vehicles using a fuzzy logic controller, aimed at replacing traditional speed breakers. The system operates by deploying a transmitter at the entry point of a speed-regulated road segment, which sends speed limit data to approaching vehicles equipped with a corresponding receiver. Upon receiving the signal, the vehicle's speed is automatically adjusted to the designated limit. Once the vehicle exits the speed-restricted zone, a new signal allows it to resume normal speed. Developed using MATLAB/Simulink, the fuzzy logic-based control system not only enhances road safety and driving comfort but also contributes to energy efficiency in EVs. The successful implementation of this vehicle-to-infrastructure (V2I) communication model demonstrates the feasibility of intelligent speed regulation, suggesting its integration as a standard feature in future EVs. This approach provides traffic authorities with a proactive means of managing vehicle speed without direct driver intervention.
Nanocomposites: An In-Depth Exploration of Synthesis, Properties, Classification, and Prospective Application Imo, F. U.; Nwabueze, C. A.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i5.7243

Abstract

Rapid advances in artificial intelligence (AI) and materials engineering have expanded options for high-performance materials, with nanocomposites—heterogeneous hybrids formed by incorporating nanoscale constituents—offering distinctive property combinations driven by composition, structure, and interfacial interactions. This study’s objective is to synthesize current knowledge on how nanoscale constituents (e.g., nanofibers, nanoparticles, nanorods, nanotubes such as carbon nanotubes (CNTs), and graphene) modify mechanical, thermal, and electrical responses, and to highlight practical techniques for processing enhanced MBC, PBC, and CBC composites alongside procedures for efficient, result-oriented characterization. Methodologically, the work collates and organizes techniques and procedures reported in the literature, emphasizing processing routes and characterization protocols relevant to applications across sectors. Key findings indicate that the incorporation of nanomaterials—characterized by very high tensile strength and thermal/electrical conductivity and often eco-friendly attributes—tends to alter and improve composite performance; nanocomposites, as multiphase systems with one, two, or three dimensions on the order of 1 mm to 100 nm, are increasingly adopted from small- to large-scale industrial contexts including automobiles, construction, electronics, information technology, food packaging, and biomedicine. The study concludes that nanomaterial integration is a viable strategy for tailoring composite properties and enabling broader industrial deployment. The contribution and implication lie in consolidating processing techniques for enhanced MBC, PBC, and CBC systems, outlining characterization procedures that support reproducible evaluation, and mapping current and prospective application domains relevant to today’s technology landscape.
Co-Authors Aluhumile, Erukpe P. Imo, F. U.