Browsing by Author "Mugisha, Simon"

Now showing 1 - 5 of 5
  • Thumbnail Image
    ItemOpen Access
    Bibliometric Insights into Advances in Nondestructive Testing Techniques for Delamination Detection
    (Mesopotamian Journal of Civil Engineering, 2025-04-11) Abdulwahd, Abdulrazaq. K.; Mugisha, Simon; Chavula, Petros; Kayusi, Fredrick
    This study presents a comprehensive bibliometric analysis of advances in nondestructive testing (NDT) techniques for delamination detection, based on 4,382 publications indexed in Scopus from 2021 to 2025. Using advanced bibliometric methods and the biblioshiny package in R, the analysis evaluates annual scientific production, citation trends, thematic focus, and collaboration patterns. The results reveal a peak in research output in 2024, followed by a marked decline in 2025, alongside a steady decrease in average citations per article. “Delamination,” “composite,” “ultrasonic,” and “infrared thermography” are identified as core research themes. The field is dominated by a few prolific journals, authors, and institutions most notably in China which account for the majority of scientific output and impact. These findings illuminate evolving research priorities, highlight central contributors, and offer critical perspectives on the development, concentration, and future directions of NDT for delamination detection.
  • Thumbnail Image
    ItemRestricted
    Design and Construction of Underground Cable Fault Location and Notification System.
    (Kabale University, 2021) Mugisha, Simon
    The overhead lines are mostly used when compared to underground cables though in towns and cities, underground cables are preferred. The underground cables are largely used in urban areas instead of overhead lines. This is because they have minimized transmission losses, can lead to death of human beings and destruction of property like buildings. This comes as a result of tall buildings being near the conductors. In determining the location of a fault point in the underground cable, the AC power in the cables is first switched off because they cannot carry both AC power and DC power at once and the standard concept of Ohms law is applied that is, when a low DC voltage is applied at the feeder end through a series resistors representing the cable lines, then current would vary depending upon the location of the fault point in the cable. In case there is a short circuit (Line to Ground), the voltage across series resistors changes depending on the fault location. This voltage is then fed to an Analogue to Digital Converter (ADC) to develop precise digital signal and the Arduino nano communicates the LCD screen to display the status of the underground cables by showing the fault location (distance) in kilometers with its respective phase.
  • Thumbnail Image
    ItemRestricted
  • Thumbnail Image
    ItemOpen Access
    Industrial Monitoring System with Real-time Alerts and Automated Protection Mechanisms
    (Modern Education and Computer Science Press., 2025-04-08) Nabusha, Alice; Asiimwe, Julius; Bature, U. I.; Mugisha, Simon; Tusiime, Meron
    This work presents the design and prototyping of an Industrial Monitoring and Protection System aimed at enhancing safety and operational efficiency in industrial environments. The system integrates multiple sensors with a GSM module to monitor and respond to critical environmental parameters, such as ambient light levels, temperature, and smoke detection. A Light Dependent Resistor (LDR) is configured to detect excessive lighting levels, interfacing with a microcontroller to activate the GSM module and send alert messages when thresholds are exceeded. The temperature sensor continuously monitors ambient temperature, and upon detecting overheating, the microcontroller triggers the GSM module to notify operators. Similarly, a smoke sensor detects the presence of harmful smoke and initiates an alert through the GSM module for early fire hazard detection. These sensors are connected to the microcontroller via analog and digital input pins, with their outputs processed to enable condition-based responses. A relay switch, controlled by the microcontroller, automatically disconnects connected loads when safety thresholds are breached, preventing equipment damage and ensuring personnel safety. Real-time sensor readings and system status are displayed on an OLED screen, providing operators with comprehensive, up-to-date information on the monitored environment. The system dynamically responds to environmental conditions by triggering alerts and actions based on customizable safety thresholds for light intensity, temperature, and smoke levels. This integrated architecture ensures seamless communication between sensors, the microcontroller, and the GSM module, delivering real-time monitoring, automated protective mechanisms, and early warning capabilities. The proposed system demonstrates the feasibility of affordable and scalable solutions for industrial safety, offering immediate responses to hazardous conditions while minimizing downtime. Furthermore, its adaptable design allows for customization across different industrial environments, making it suitable for a wide range of applications.
  • No Thumbnail Available
    ItemOpen Access
    TensorFlow-Native Implementation for Crack Detection in Concrete Structures
    (Mesopotamian Journal of Civil Engineering, 2025) Ayebare, Memory; Chavula, Petros; Mugisha, Simon; Byamukama, Willbroad
    This paper presents a TensorFlow-native implementation for automated crack detection in concrete structures, addressing the critical need for efficient and objective infrastructure monitoring. Leveraging a Convolutional Neural Network architecture with 24.8 million parameters, the model was trained on a large-scale dataset of 40,000 images, each with a 227x227 RGB resolution. The methodology, incorporating specific framework optimizations and a rigorous training configuration, achieved a remarkable overall classification accuracy of 99.375% on the validation dataset. The model demonstrated balanced performance with precision values of 0.993 and 0.994, recall values of 0.994 and 0.993, and F1-scores of 0.994 and 0.994 for both "No Crack" and "Crack" classes. This high accuracy, coupled with balanced metrics, underscores the model's effectiveness and reliability for practical applications. The proposed solution significantly enhances real-time structural health monitoring systems, mitigating the limitations of traditional manual inspections and facilitating proactive maintenance strategies for concrete infrastructure