Thailand Electrical Engineering Journal (TEEJ)

Revolutionizing 5G: NBTC QOS Regulations and Cutting-Edge Smartphone Applications for Future Mobile Communication Services

Pannatorn Kijphitayarit — 2025-08-08

The rapid advancement of mobile communication technology, particularly the deployment of 5G, has significantly enhanced global connectivity by providing faster speeds, lower latency, and increased capacity. These improvements drive innovations across various sectors, including healthcare, autonomous vehicles, and smart cities. However, achieving the full potential of these advancements requires robust tools to monitor and optimize network performance effectively. In Thailand, the National Broadcasting and Telecommunications Commission (NBTC) plays a crucial role in ensuring that network quality meets stringent performance standards. This study aims to address the gap in comprehensive network performance assessment tools by developing an application that evaluates both Radio and End parameters of 5G networks in realworld scenarios. Unlike most commercial applications that typically focus on only one set of parameters, the developed application provides a dual parameter monitoring approach, offering a more complete and accurate assessment of network performance. The application was tested at six locations within Suranaree University of Technology, with five measurements taken at each site. Comparative analysis indicated that the developed application demonstrated consistent performance in 5G Radio Parameters, as reflected by a lower average standard deviation (SD) of 1.71 compared to 2.70 for commercial applications. These findings demonstrate the application’s capability to deliver reliable and stable network performance evaluations, positioning it as a valuable tool for advancing 5G network management and optimization.

Educational Gaming for GMP: Developing an Android Game for Good Manufacturing Practice Training

Kitjipong Itthithumsakul — 2025-08-08

This research presents the development of a game that teaches Good Manufacturing Practices (GMP), a subject that requires hands-on practice. During the COVID-19 pandemic, educational institutions have transitioned to online learning. To simulate the experience of an actual classroom, this research presents a development of a GMP board game into an online GMP game using an Agile development framework, which allows time-effective development for the game to be deployed during the pandemic. The key feature of the developed educational game includes an online engine to let students compete with their peers and interactive learning to improve remote engagement. The satisfaction and knowledge scores, two evaluations of the online GMP game, indicate that the developed game is more effective than learning through an in-person board game.

Spatiotemporal Patterns of SO₂, NO₂, and CO Using Satellite Data Integrated Machine Learning in EEC Thailand

Pavinee Polsuwan — 2025-07-28

Air pollution causes a major global environmental challenge especially in industrialized regions such as the Eastern Economic Corridor (EEC) of Thailand. This study assesses the spatiotemporal trends of SO₂, NO₂ and CO concentrations in the EEC (2019–2022) using Sentinel-5P satellite data, ERA5 meteorological variables and machine learning models (Random Forest, XGBoost, LightGBM). Results revealed that pollutant fluctuations were significantly influenced by wind, aerosol index, surface pressure and dew point. XGBoost provided superior accuracy (R²: SO₂=0.95, NO₂=0.90, CO=0.96). The study demonstrates satellite and machine learning efficacy in air quality monitoring to identify pollution hotspots and critical environmental drivers. This is to support air quality management in Thailand.

The Effect of Heat Due to High DC Current Bias on the Resistance Changes of Standard Oil Resistor

Ploybussara Gomasang — 2025-08-08

This study investigates the effect of heat on the resistance change due to high DC current bias in the range of 3 A to 10 A through a 100 mohm standard oil resistor (Model Rubicon 99563). In the calibration
process of high DC current source, high DC current is biased through a standard resistor. It is found the increase in the resistor’s temperature measured by an automatic temperature measurement with a J-type
thermocouple, resulting in the resistance increase. However, the oil can significantly reduce the increasing rate of temperature, and the resistance change becomes stable after applying current through the resistor for up to 265 seconds. This study can be a guideline to improve the calibration process of the high DC current source.

An Innovative Modular Platform for Load Control and Power Compensation: A Case Study of the Industrial Technician Educational Building at RMUTSV

Santi Karisan — 2025-08-08

This research presents a prototype intelligent energy system for the Industrial Engineering Building at Rajamangala University of Technology Srivijaya, integrating three core systems: Phase-specific Reactive Power Compensation, Smart Load Routing, and Grid-aware Load Allocation to enhance efficiency, reduce losses, and strengthen electrical system stability. Experimental results demonstrate that Static VAR Generator (SVG) installation in Phase B with high inductive loads improved Power Factor from 0.81 to 0.97 and reduced I²R losses by up to 27.8%. The Plug-and-Play Load Router system reduced inter-phase load imbalance by 28% through small-to-medium load switching with an average response time of 140ms. The Decision Tree model for grid-aware load allocation achieved 88% accuracy in Phase B voltage drop detection, improving voltage stability by 9.6% and enhancing overall Power Factor by an additional 4.3%. Each system is optimized for different load characteristics: SVG suits high unbalanced inductive loads, Load Router excels with continuously varying loads, and Grid-aware Allocation maintains voltage and frequency stability for critical applications. The integrated system architecture enables combined deployment for enhanced performance and sustainable renewable energy expansion capability.

PIT: Gamifying Personal Income Tax Learning

Somrak Rungwanlapa — 2025-08-08

Submitting personal taxes is required annually in many countries, including Thailand, where Personal Income TAX (PIT) is mandatory. However, most people lack knowledge of PIT filing, which hinders the tax submission process for many individuals. To address this challenge, we propose a game-based approach to improve PIT knowledge. Developed using the ADDIE model, our Personal Income Tax (PIT) game integrates multiple puzzles and Role-Playing Game (RPG) elements to guide players through calculating income, allowances, and tax rates step by step. We evaluated the game by comparing average pre- and post-test scores (nine criteria) and by surveying expert and user satisfaction. The results show that the average test score improved from 4.60 before playing the game to 6.40 afterward, indicating better understanding of PIT filing. Satisfaction levels (on a 5-point scale) among both experts and general users ranged from “high” to “very high.” Thus, this game-based learning tool appears effective for increasing basic tax-filing knowledge.