Tạp chí Khoa học Công nghệ Hàng Không

Compute The Edge P-Laplacian Centrality For Air Traffic Network

Tran Hoang Loc — 2025-12-25

The problem that we would like to solve in this paper is to compute the edge p-Laplacian centrality for the air traffic network. In this problem, instead of computing the edge p-Laplacian centrality directly which is the very hard problem, we convert the air traffic network to the line graph. Finally, we will compute the node p-Laplacian centrality of the line graph which is equivalent to the edge p-Laplacian of the air traffic network. In this paper, the novel un-normalized graph (p-) Laplacian based ranking method will be developed based on the un-normalized graph p-Laplacian operator definitions such as the curvature operator of graph (i.e. the un-normalized graph 1-Laplacian operator) and will be used to compute the node p-Laplacian centrality of the line graph. The results from the experiments show that the un-normalized graph p-Laplacian ranking methods can be implemented successfully.

Integrating AI And Data Analytics In Assessing The Learning Effectiveness Of A PLC Training Model

Quoc-Khai Tran — 2025-12-25

With the rapid advancement of industrial automation, Programmable Logic Controllers (PLCs) have become essential components in modern manufacturing systems. To enhance practical training in PLC programming, a hands–on experimental model based on the Mitsubishi FX5U PLC was developed. This study evaluates the effectiveness of the training model through student feedback collected via structured survey questions, incorporating both quantitative and qualitative measures. A Likert–scale rating system was utilized to assess key aspects such as conceptual understanding, programming proficiency, and practical applicability. Additionally, qualitative responses were analyzed using AI–driven sentiment analysis and data analytics techniques, including lexicon–based (VADER) and transformer–based (BERT) models. Word Cloud visualizations were employed to extract key insights from open–ended responses. The study offers a detailed evaluation of the PLC training model, identifying both its effective components and aspects requiring enhancement. By leveraging AI–driven evaluation techniques, the research demonstrates how data–informed insights can enhance instructional quality and inform future improvements in technical education.

Difference Between Two Minima Normalized Min-Sum Algorithm For The LDPC Decoder

Bich Ngoc Tran-Thi — 2025-12-25

This study proposes the Difference Between Two Minima Normalized Min-Sum (DMNMS) algorithm for layered scheduling, which is suggested for implementing 5G New Radio Low-Density Parity-Check codes. The proposed algorithm aims to reduce memory space and enhance error correction performance. By applying modified factors to both variable nodes and check nodes processing, the DMNMS method goals to strengthen the protection ability for degree-1 variable nodes and compensate for the overestimation of extrinsic messages in Min-Sum-based algorithms. The suggested technique also used the difference between the first two minimum values and the first minimum among the input information, rather than compressing the check to variable messages to deliver the first two minima. Simulation data indicated that the proposed DMNMS algorithm performs better than the Normalized Min-Sum method, achieving up to 0.07 dB of decoding gain at a Bit Error Rate of 10⁻⁶ while using less memory.

The Impact Of Work-Related Stress Factors On Mental Health And Service Sabotage Behavior Of Vietnam Airlines Flight Attendants

Le Nhu Quyet Thang — 2025-12-25

Stress is a common problem that people in today's society deal with in both their personal and professional lives. Ineffective stress management can have a detrimental influence on one's mental well-being and productivity at work. This study is to investigate the impact of work-related stress on flight attendants' mental health and service sabotage behavior, drawing on Hobfoll's (2001) Conservation of Resources (COR) theory. 107 Vietnam Airlines flight attendants participated in the study's survey. The measurement model and structural model were evaluated using SPSS 24 and Smart PLS 4.0.9.5 software. The results of the study show that psychological contract violations and organizational silence are linked to Vietnam Airlines flight attendants' worsening mental health and rise in service sabotage conduct.

Servant Leadership And Frontline Employee Job Performance In Vietnam’s Aviation Industry: The Mediating Roles Of Organizational Commitment And Trust In Leadership

Hoang Thi Kim Thoa — 2025-12-25

This study investigates the influence of servant leadership on the job performance of frontline employees within Vietnam’s aviation industry, with a particular focus on the mediating roles of organizational commitment and trust in leadership. Data were collected through self-administered questionnaires from a convenience sample of 389 frontline employees employed at Vietnam Airlines. The study employed a quantitative research design and utilized structural equation modeling (SEM) using AMOS software to analyze the data. The analysis confirmed a significant positive relationship between servant leadership and job performance. Furthermore, the results indicate that organizational commitment and trust in leadership serve as significant mediators, suggesting that servant leadership enhances frontline employee job performance by cultivating trust in leadership and reinforcing organizational commitment.

Supervisor Incivility and Employees’ Customer-Directed Extra-Role Performance Among Airport Check-In Staff: The Mediating Role of Job Insecurity

Do Uyen Tam — 2025-12-25

Despite the growing body of research on workplace incivility, the specific relationship between supervisor incivility (SI) and employees’ customer-directed extra-role performance—as well as the underlying mechanisms—remains relatively underexplored. Drawing on the Transactional Model of Stress and Conservation of Resources (COR) theory, this study posits that job insecurity serves as a key cognitive mediator linking supervisor incivility to employees’ customer-directed extra-role performance. Empirical data were collected from airport check-in staff to test the proposed model. The findings reveal that SI has a significant negative impact on employees’ customer-directed extra-role performance. These results advance the workplace incivility literature by identifying a cognitive mechanism through which incivility undermines service behavior, and they offer practical implications for organizations aiming to enhance employee well-being and service quality

How Airport Technology Enhances Tourist Experiences And Influences Word-Of-Mouth: A Study Of Tan Son Nhat International Airport

Huynh Diep Tram Anh — 2025-12-25

This study examines how airport technologies, specifically smart tourism tools, enhance tourist experiences and influence their intentions to engage in word-of-mouth (WOM) communication. Focusing on Tan Son Nhat International Airport, we surveyed 423 travelers who used integrated smart tools during their journey. Our findings show that airport technologies significantly improve traveler satisfaction and increase the likelihood of positive WOM. These technologies help airports transform from mere transit points into attractions, offering a competitive advantage and supporting the sustainable growth of the aviation sector. Despite slower adoption in developing countries like Vietnam, our research highlights the importance of modern technological solutions in improving customer experiences. Using the stimulus-organism-response (S-O-R) framework, we show that self-service and support technologies at Tan Son Nhat Airport boost traveler confidence and enjoyment, encouraging positive WOM