The application of Artificial Intelligence (AI) in education is rapidly transforming the teaching and learning landscape in Vietnam. AI technology is being integrated into various educational platforms to provide personalized learning experiences, support educators, and enhance the overall efficiency of the education system. In Vietnam, AI is utilized to develop adaptive learning programs, intelligent tutoring systems, and automated administrative processes. AI-powered tools such as virtual teaching assistants and chatbots are also being employed to offer real-time support and feedback to students. Furthermore, AI-driven data analytics is used to monitor and improve student performance and engagement levels. AI assists teachers in automating grading, reducing assessment time, and enabling speech recognition systems to evaluate students’ English-speaking skills. These innovations contribute to a more dynamic, interactive, and inclusive educational environment. However, challenges such as data privacy concerns, the digital divide, and the demand for a skilled workforce remain significant. Addressing these issues is crucial for the sustainable integration of AI into Vietnam’s education sector.
In the early 21st century, China has increasingly recognized the critical importance of securing its national energy supply. As the demand for energy continues to rise, China has implemented an assertive and comprehensive energy diplomacy strategy on a global scale, with Southeast Asia emerging as a key focus. The region holds a geo-strategic significance, rich in vital natural resources such as oil, natural gas, and other minerals, making it a strategic partner in China’s broader energy security objectives. This policy, driven by China’s growing energy needs and its desire to diversify energy sources, has far-reaching impacts on Southeast Asia, influencing various sectors including economics, politics, and national security. China's energy diplomacy in Southeast Asia is not only an economic endeavor but also a means of strengthening political alliances and asserting its regional influence. This paper explores the nuances of China's energy diplomacy policy towards Southeast Asia in the early 21st century, highlighting its strategic objectives, the mechanisms employed, and the broader implications for regional and global security dynamics.
Tourist motivation is a critical aspect of tourism research, providing valuable insights into why people travel and what influences their destination choices. This article aims to provide a systematic review of the leading models used to understand tourist motivation, examining both psychological and external factors that drive tourist behaviours. Key frameworks such as Maslow’s Hierarchy of Needs, Push-Pull Theory, and Iso-Ahola’s Motivation-Relaxation Model are explored to highlight the various intrinsic and extrinsic forces that motivate tourists. Additionally, models like Plog’s Psychographic Typology and the Travel Career Ladder offer valuable perspectives on how travel motivations evolve with experience and personality traits. By synthesizing these diverse models, the review not only provides a broad understanding of tourist motivation but also underscores the complexity and multidimensional nature of travel behaviour. Understanding these models is essential for tourism practitioners, as it enables more targeted marketing strategies, improved destination management, and enhanced visitor satisfaction. This article aims to contribute to a deeper understanding of the motivations that shape tourism trends and to offer a framework for future research in the field.
The rising demand for automation in agriculture and manufacturing necessitates efficient, cost-effective sorting systems to replace labor-intensive manual processes. This paper introduces an innovative system integrating a Siemens S7-1200 Programmable Logic Controller (PLC), LabVIEW-based image processing, and OPC (OLE for Process Control) communication for automated tomato sorting. Utilizing real-time vision analysis, the system classifies tomatoes by color and size, offering a low-cost, scalable solution tailored for small-scale industries. A high-resolution camera captures images, processed in LabVIEW using HSV color space and size thresholds, with results relayed via OPC to the PLC, which actuates a stepper motor-driven sorting mechanism. Experimental validation in a controlled setting achieved 92% sorting accuracy and a throughput of 60 tomatoes per minute, surpassing manual sorting in speed and consistency. The modular design supports scalability to other agricultural products, enhancing its practical utility.
Vocational guidance plays an important role in career orientation for
secondary students. Before entering the secondary school graduation exam,
schools around the country start to organize career counseling. This urgent
issue drives parents, teachers, and students up the wall, especially students are
the learners who directly suffer from this consequence leading to students’
mental health issues. The study aim is to find out the optimal solution that
helps students overcome the high pressure of vocational counseling before the
graduation exam. In this inquiry, quantitative research is the best method to
focus on surveying students’ awareness based on comparative research which
is typical research, and via this exploration to evaluate the research object
comprehensively. The comparative research is applied in this article to
discover the differences between vocational guidance before and after the
10th-grade entrance exam towards poorer and lower-scoring students. This
study is put into operation at Chu Van An secondary school – in Binh Duong
province – academic year 2023-2024 and the students of grade 9 are research
objects which are chosen to answer survey questions. According to survey
tables, more than 93.3% of students with poorer and lower scores select
vocational guidance after the secondary school graduation exam and 6.7% of
students take the reverse one. What we need to think about is whether this way
of present career counseling is feasible
Automation or automatic control has been a growing trend in industrial fields as well as in life because of the advantages and utilities that help optimize work and reduce manpower in production. In medium and large scale automatic control systems, PLC (Programmable Logic Controller) is used as the control device for the system. In production, the transmission system using motors takes a large proportion and the problem of controlling for them to operate correctly, meeting technological requirements is one of the difficulties that need to be solved. In this study, we have applied PLC to stabilize motor speed according to preset value using PID algorithm integrated in Siemens S7–1200 PLC in order to apply research results in practice. At the limit of the article, we will present the issues of PID function block configuration, programming algorithm flowchart for PLCs, and monitoring console design for a small DC motor drive system model to verify.
Activity recognition is one of the preliminary steps in designing and implementing assistive services in smart homes. Such services help identify abnormality or automate events generated while occupants do as well as intend to do their desired Activities of Daily Living (ADLs) inside a smart home environment. However, most existing systems are applied for single-resident homes. Multiple people living together create additional complexity in modeling numbers of overlapping and concurrent activities. In this paper, we introduce a hybrid mechanism between ontology-based and unsupervised machine learning strategies in creating activity models used for activity recognition in the context of multi-resident homes. Comparing to related data-driven approaches, the proposed technique is technically and practically scalable to real-world scenarios due to fast training time and easy implementation. An average activity recognition rate of 95.83% on CASAS Spring dataset was achieved and the average recognition run time per operation was measured as 12.86 mili-seconds.
The paper presents general theory about making small models for studying large machines. Here, the author refers to the design of pile driving and pressing machines. To express ideas, the author presents design drawings presented in three-dimensional perspective. Currently, pile drivers and pile presses are two separate machines, in which their base machine is the same, their working parts are slightly different. The author takes advantage of the slight differences to combine them into one machine, so as to ensure that this machine is able to pile or pile. In addition, the structure of pile making and pressing machines is created by the author, which is somewhat simpler than the current construction and driving machine. This successful study will form the basis for manufacturing a pile driving machine and pile machine into a single machine, greatly reducing the costs of procurement and construction machine use.
Variable Frequency Drives (VFDs) are electronic power controllers that allow for accurate control of the speed of alternating current (AC) induction motors that used in many kinds of machines including fans, pumps and compressors. These motors are used in most heating, ventilation and air-conditioning (HVAC) systems and account for a significant percentage of the total HVAC energy consumption. More efficient operation of these motors using VFDs can result in significant energy savings. Besides, the communication between VFDs and PLC for Supervisory Control And Data Acquisition (SCADA) is also important. Modbus protocol has many kinds as RS485, RTU, Profinet,...In this paper we will present the communication between a PLC Siemens S7-1200 and an ATV310 Drive (Schneider) via Modbus RTU protocol which is supported.