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This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Evaluation and Research in Education (IJERE) Journal of Education For Sustainable Innovation
Vinh, Nguyen The
Unknown Affiliation
Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Large language models in software engineering: A systematic review and vision Viet, Nguyen Van; Vinh, Nguyen The
Journal of Education For Sustainable Innovation Vol. 2 No. 2 (2024)
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jesi.v2i2.968

Abstract

Large Language Models (LLMs) are very large deep learning models pre-trained on a vast amount of data. This article aims to provide an overview of the use of major language models in the field of software engineering from January 2021 to February 2024. It surveys the emerging area of Large Language Modeling in Software Engineering but acknowledges that to fully understand the issues, effects, and limitations of LLMs in this field, further research is needed. The article also highlights open research challenges for applying Large Language Models to technical problems faced by software engineers. The exceptional properties of LLMs bring novelty and creativity to applications within Software Engineering activities, including coding, design, requirements, repair, refactoring, performance improvement, documentation, and analytics. Our survey demonstrates the key role of reliable and efficient large language models in the development and deployment of Software Engineering.
Bidirectional AC/AC converter linking two microgrids in a flexible microgrid Vinh, Nguyen The; Dung, Nguyen Van
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i1.pp389-406

Abstract

The proposed single-phase flexible AC/AC converter in an AC microgrid controlled by the PWM method is presented and tested with a small capacity. This converter uses a simple and small number of semiconductor switches and passive elements to limit power loss and increase efficiency. It has higher reliability, safety, and continuity of power supply in operation than traditional AC/AC converters due to the power circuit structure of the converter. It has the function of increasing or decreasing voltage when connecting to two microgrids and can be directly connected to distributed energy sources in microgrid systems with distributed power sources and loads. Besides, the AC/AC converter can be connected to the storage system to improve continuity and voltage stability for the grid. The performance of the proposed converter is compared with existing similar converters. The paper presents the analysis of simulation results by OrCAD with power values from 0.1-5 kW and experimental power with typical values in the range of 0.5-3.5 kW at different scenarios of the converter.
How teachers’ AI readiness affects AI integration: insights from modeling analysis Chuyen, Nguyen Thi Hong; Vinh, Nguyen The
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i2.28242

Abstract

This study examined the dynamic relationships among professional development and training, resources and accessibility, attitudes and perceptions, pedagogical knowledge and expertise, teachers’ artificial intelligence (AI) readiness, and the integration of AI in teaching practices. The study employed a non-random purposive approach and utilized the structural equation modeling (SEM) method. Five hypotheses were meticulously formulated and subsequently subjected to empirical scrutiny, involving a cohort of 224 participants. Data were collected via Google Form and subjected to analysis to assess the goodness of fit of the proposed conceptual model. The findings revealed a positive relationship between teachers’ AI readiness and the integration of AI in teaching practices. Additionally, attitudes and perceptions, as well as pedagogical knowledge and expertise, exhibited positive effects on teachers’ AI readiness. However, the associations between teachers’ AI readiness and resources and accessibility, as well as pedagogical knowledge and expertise, were found to be relatively weak and statistically insignificant. The proposed conceptual model accounted for 55.3% of the variance, underscoring the significance of these established relationships for instructors, policymakers, and educators in devising practical intervention strategies to effectively harness the potential of AI.
Bidirectional AC/DC converter connecting AC and DC microgrids for smart grids Dung, Nguyen Van; Vinh, Nguyen The
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2549-2561

Abstract

This paper proposes a converter connecting two independent AC and DC microgrids in a flexible microgrid and smart grid system. With this converter, basic DC/DC converter types such as Flyback are used to develop the power circuit and controller for the converter that is capable of integrating the operating functions for the operation between microgrids. The converter uses bidirectional switching locking technology to simplify the control algorithm. The energy is converted in two directions, AC/DC and DC/AC, with different working principles of increasing and decreasing voltage according to the standards of the distribution grid and DC microgrid. The TDH value is significantly limited when using the recovery circuit solution. The converter is designed, simulated based on OrCAD software, and tested with a capacity in the range of 2-10 kW. The DC microgrid output voltage is 400 VDC, voltage is 220 VAC.
Co-Authors Chuyen, Nguyen Thi Hong Nguyen Van Dung, Nguyen Van Viet, Nguyen Van