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- 저자 : Trinh Ngoc Dat (검색결과 3 건)
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Importance of Lecturer's Role in Management Education
TRINH Viet Xuan,NGUYEN Duyen Thi Kim,NGUYEN Dat Ngoc,TRAN Loc Xuan,PHAM Huong Thi Lan 한국유통과학회 2024 유통과학연구 Vol.22 No.1
Purpose: This study is undertaken from the standpoint of student-centered learning and theoretical paradigms that have developed in the business world and display conceptual affinities: the transfer of knowledge and training. Research design, data and methodology: Utilizing questionnaire surveys and multivariate data analysis are two research methodologies (CFA, SEM). Around 201 undergraduate students who were studying in Vietnam provided the data. Results: The results show importance of the faculty role in students’ knowledge acquisition. The findings show that Ability to form a good relationship positively influences the development of competence. Additionally, neither ability to develop a good relationship nor learning drive or knowledge acquisition are significantly correlated with one another. The growth of competencies is positively impacted by the suitability of teaching approaches. Knowledge acquisition is favorably impacted by learning motivation, and knowledge acquisition in turn is positively impacted by competence development. Conclusions: Research has shown the important role of lecturers in students' knowledge acquisition. From this result, some implications related to lecturers are also given to help improve students' ability to acquire knowledge. Building good relationships with students (ready to answer questions, positive relationships) and good expertise will help increase learning motivation, ability to acquire knowledge as well as improve development for students.
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Audio Event Classification Using SVM with GMM-UBM Supervectors
Tan Dat Trinh,Ngoc Nam Bui,So Hee Min,Jin Young Kim 한국정보기술학회 2013 한국정보기술학회논문지 Vol.11 No.11
Audio event recognition is a fascinating and challenging research topic in signal processing, audio retrieval, and pattern recognition. In this paper, we investigate GMM supervector based Universal Background Model (UBM) and Support Vector Machine (SVM) with MFCC features and various kernels for audio event recognition. A GMM supervector is obtained by adapting with UBM and cascading all the mean vector components. After that, the supervectors are applied as input features for SVM classifier. Experimental results belonging to our audio event database demonstrates that the proposed approach outperforms standard GMM-UBM baseline. Moreover, when applying SVM with GUMI kernel, error rate significantly decreases from 26.52% to 14.97% for 16 mixtures.
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Relaxor characteristics of PSLZT-BMT-based ferroelectric material ceramics
Nguyen Van Thinh,Le Dai Vuong,Do Viet On,Truong Van Chuong,Le Vu Truong Son,Trinh Ngoc Dat,Le Van Thanh Son,Vo Thanh Tung 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.3
(1-x)[(Pb0.94Sr0.05La0.01)(Zr0.54Ti0.46)0.9975O3]-x[Bi(Mn1/2Ti1/2)O3] (PSLZT-BMT) ferroelectric material ceramics with x in therange of 0-0.05 mol were successfully synthesized following the conventional solid-phase route. The materials were thoroughlyinvestigated to study their structural phase, microstructure, ferro-piezoelectric characteristics, and dielectric behavior. Theexperimental results show that the density of the samples decreased from 7.75 to 7.58 g/cm3, and the relative density decreasedin the range of 98.48%-96.28%. However, with increasing contents of BMT, the dielectric and ferroelectric properties ofPSLZT-BMT ceramics tend to decrease, specifically the maximum dielectric constant (εmax) of PSLZT-BMT decreased in therange of 23579-9991 and the residual polarization (Pr) decreases in the range of 22.54-7.87 μC/cm2 when the doping contentincreased in the range of 0.0-0.05 mol. The diffusivity values (γ) of the PSLZT-BMT material are 1.74, 1.78, 1.82, 1.84, 1.79,and 1.77 when the doping content x varies as 0.0, 0.01, 0.02, 0.03, 0.04, and 0.05 mol, respectively, which is characteristic ofrelaxor ferroelectric materials. Besides, the Tm, TB, TC-W, and C values depend on BMT concentration, and the trend decreases.
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