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All Journal Journal of Power, Energy, and Control Applied Engineering, Innovation, and Technology
Arkorful, Isaac Papa Kwesi
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Design and Implementation of a Smart Traffic Control Signal for Suburban Areas: A Case Study of Tarkwa-Nsuaem Ampem, Isaac Aboagye; Arkorful, Isaac Papa Kwesi; Dwomoh, Lambert; Sefa-Boateng, Yaw
Applied Engineering, Innovation, and Technology Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i1.52

Abstract

With the increasing number of cars in suburban areas like Tarkwa-Nsuaem, expensive approaches to expanding road infrastructure are financially impractical for a lower-middle-income country like Ghana. Traffic accidents, causing 1.25 million deaths, up to 50 million injuries annually, and a global ratio of 18 deaths per 100,000 people, demand cost-effective prevention solutions for these suburban communities. This study proposes an ultrasonic sensor-based traffic control system using an HC-SRO4 ultrasonic sensor and an Arduino Nano with an ATMEGA 328P microcontroller. Simulated using Proteus 8 Professional and Arduino 1.6.7 software, the system optimizes traffic flow by eliminating the standard 60-second red light wait time. Vehicles on byways move freely unless a vehicle is sensed on the connecting highway, in which case the wait time is reduced to under 30 seconds. This low-cost, adaptive approach enhances road safety and efficiency, making it a viable alternative for traffic management in resource-constrained suburban communities.
Control Strategy Assessment: PID and Fuzzy-PID for Compound DC Motor Systems Sam-Okyere, Yaw Amankrah; Osei-Kwame, Emmanuel; Issaka, Dienatu; Arkorful, Isaac Papa Kwesi
Journal of Power, Energy, and Control Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v2i2.74

Abstract

Compound DC motors, prized for their high torque and speed in industrial applications, demand robust control under nonlinear conditions. This study advances the field of Adaptive Neuro-Fuzzy Interface (ANFIS) by comparing a Ziegler-Nichols-tuned Proportional-Integral-Derivative (PID) controller with a novel ANFIS-PID controller for a compound DC motor. Unlike prior work, the research focuses on the unique dynamics of compound motors for real-time applications. Using MATLAB Simulink simulations. Performance was assessed via overshoot, rise time, settling time, and steady-state error under no-load and full-load conditions. The PID controller yielded 11.789% overshoot, 1.140s rise time, and 2.251s settling time, while the ANFIS-PID achieved 6.989% overshoot, 0.951s rise time, and 1.962s settling time, with a 50% lower steady-state error. These results, validated across 10 runs (p < 0.05), highlight the ANFIS-PID’s superior adaptability to the motor’s series-shunt dynamics, offering a 40.7% overshoot reduction.
Visualizing Digital Modulation Techniques with Simulink and Raspberry Pi 4 Obeng, Lydia Dede; Aguadze, Michael; Arkorful, Isaac Papa Kwesi
Applied Engineering, Innovation, and Technology Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i2.87

Abstract

Digital modulation techniques are fundamental to modern communication systems, enabling the reliable transmission of data over wireless, optical, and wired channels. This research focuses on designing, implementing, and visualizing three key digital modulation schemes: Amplitude-Shift Keying (ASK), Frequency-Shift Keying (FSK), and Quadrature Phase-Shift Keying (QPSK) using MATLAB Simulink and the Raspberry Pi 4 platform. Performance evaluation through oscilloscope visualization demonstrated robust signal integrity: the 2-ASK transmitter exhibited clear amplitude changes at a 15 kHz carrier frequency, accurately representing binary data with minimal observed noise (qualitative SNR improvement over unmodulated signals) and negligible distortion. The 2-FSK transmitter produced distinct frequency shifts between 4.8 kHz and 9.6 kHz, encoding binary 1 and 0 with low error potential in noise-free conditions, as confirmed by waveform observations. The QPSK transmitter displayed smooth phase transitions at 15 kHz, cycling through four phase states (45°, 135°, 225°, 315°), effectively doubling the data rate compared to BPSK while maintaining phase accuracy within hardware latency limits (approximately 10-20 ms processing delay). The ability to visualize and analyze these methods supports the development of improved modulation schemes, contributing to more efficient and robust digital communication systems.
Co-Authors Aguadze, Michael Ampem, Isaac Aboagye Dwomoh, Lambert Issaka, Dienatu Obeng, Lydia Dede Osei-Kwame, Emmanuel Sam-Okyere, Yaw Amankrah Sefa-Boateng, Yaw