Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics FOSTER: Journal of English Language Teaching
Nguyen, Quyen
Unknown Affiliation
Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
EFL Teachers' Evaluation on “Skillful-Teaching Writing and Reading 02" Le, Thao; Le, Mai; Nguyen, Quyen
FOSTER: Journal of English Language Teaching Vol. 2 No. 3 (2021): FOSTER JELT
Publisher : Faculty of Education and Teacher Training of IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/foster-jelt.v2i3.57

Abstract

In case that many reforms in learning and teaching English in Vietnam were implemented, exploring the effectiveness of different coursebooks was raised to be a sufficient need. This research is more qualitative than quantitative in its nature, aiming to investigate EFL teachers’ evaluation of the coursebook Skillful – Reading & Writing 02 in a specific educational institution in the Mekong Delta. Thirteen teacher participants using the books were invited to participate in this study. Quantitative and qualitative data were collected by using two instruments, questionnaires and semi-interviews. The study provided a new checklist for evaluating materials in teaching and learning reading and writing. The findings showed that (1) the merits of the coursebook Skillful – Reading & Writing 02: e.g. colorful illustrations, numerous online learning resources accompanying online accounts, suggestive topics, updated contents, and impressive study skills component; and (2) demerits of the book in terms of writing section which does not match the general objectives of the program. Likewise, (3) the cons are regarding quite small font size and long listening activities of the coursebook. Additionally, some implications were suggested in this study to enhance the effectiveness of using sufficient materials for higher educational institutions.
A method for brand image recognition for ordering payment in supermarket Huynh, Nhat Nam; Tran, Tan Hai Bui; Nguyen, Quyen
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.9533

Abstract

This paper presents a product brand recognition method based on the YOLOv8 algorithm. The performance evaluation of the proposed method is conducted on two datasets consisting of GroZi-120 and GroZi-3.2K. The results show that the proposed method can achieve high accuracy. The precision and F1-score on the GroZi-120 and GroZi-3.2K datasets reach of {74.77%, 80%} and {99.86%, 100%}, respectively. The comparison with previous studies shows that the precision and F1-score obtained by the YOLOv8 method outperform some previous studies. Additionally, the effectiveness of the proposed method is also evaluated on a dataset of 6,170 images for twelve real products collected from supermarkets for use in order payment. The results show that the proposed method can be applied in single-order payment as well as multiple simultaneous orders with high accuracy in product recognition ranging from 94% to 98%. Therefore, the proposed method can be applied in order quick payment at supermarkets.
Co-Authors Huynh, Nhat Nam Le, Mai Le, Thao Tran, Tan Hai Bui