An Image-Based Rice Weighing Estimation Approach on Clock Type Weighing Scale Using Deep Learning and Geometric Transformations

AI impacts surrounding human life, such as the economy, health, education, and agricultural production; however, the crop prices in the harvest season are still on manual calculation, which causes doubts about accuracy. In this study, an image-based approach is proposed to help farmers calculate rice prices more accurately. YOLOv5 is used to detect and extract the scales in the images taken from the harvesting of rice crops. Then, various image processing techniques, such as brightness balance, background removal, etc., are compiled to determine the needle position and number on the extracted scale. Lastly, geometric transformations are proposed to calculate the weight. A real dataset of 709 images is used for the experiment. The proposed method achieves good results in terms of [email protected] at 0.995, mAP@[0.5:0.95] at 0.830 for scale detection, and MAE at 3.7 for weight calculation

Relationship between Transformational Leadership Style and Leadership Thinking of Provincial Administration Leaders

Objectives: The transformational leadership style is accepted as suitable for leading administrative agencies to achieve outstanding results and help organizations cope with challenges. Besides, leadership thinking is also considered to have a very important role in leadership performance in administrative agencies. Therefore, the main objective of the study is to explore the relationship between transformational leadership style and leader thinking to organization's performance. Methods: The article focuses on explaining the views on transformational leadership style, healthy thinking, and the relationship between transformational leadership style and leadership thinking, and at the same time points out the current status of transformational leadership style, transformational leadership, leadership thinking as well as this relationship in practice among the leaders of provincial agencies in Vietnam. Descriptive, inductive, deductive, synthetic, and quantitative statistical methods were applied to interpret the results. Findings: Research results show that transformational leadership style, leadership thinking in the team of leaders of provincial agencies is quite average, there is a strong positive correlation between transformational leadership style. In contrast to leadership thinking, a more transformative leadership style means that it requires an innovative leadership thinking. Novelty:The results achieved when applying a transformational leadership style are quite closely related to the application of leadership thinking to solve leadership challenges. Doi: 10.28991/esj-2021-01307 Full Text: PD

Performance Investigation of High-Speed Train OFDM Systems under the Geometry-Based Channel Model

The high-speed of train (HST) in combination with the high carrier frequency of HST systems leads to the severe inter carrier interference (ICI) in the HST orthogonal frequency division multiplexing (HST-OFDM) systems. To avoid the complexity in OFDM receiver design for ICI eliminations, the OFDM system parameters such as symbol duration, signal bandwidth, and the number of subcarriers should be chosen appropriately. This paper aims to propose a process of HST-OFDM system performance investigation to determine these parameters in order to enhance spectral efficiency and meet a given quality-of-service (QoS) level. The signal-to-­interference-­plus-­noise ratio (SINR) has been used as a figure of merit to analyze the system performance instead of signal-to-noise ratio (SNR) as most of recent research studies. Firstly, using the non-stationary geometry-based stochastic HST channel model, the SINR of each subcarrier has been derived for different speeds of the train, signal bandwidths, and number of subcarriers. Consequently, the system capacity has been formulated as the sum of all the single channel capacity from each sub-carrier. The constraints on designing HST-OFDM system parameters have been thoughtfully analyzed using the obtained expressions of SINR and capacity. Finally, by analyzing the numerical results, the system parameters can be found for the design of HST-OFDM systems under different speeds of train. The proposed process can be used to provide hints to predict performance of HST communication systems before doing further high cost implementations as hardware designs

Competence framework of information technology for students of Thai Nguyen University of Agriculture and Forestry

Currently, with the positive impact of information technology (IT), the world’s agriculture is gradually shifting from the traditional agricultural model to the digital agricultural model, creating high productivity, increasing the product value and labor productivity. However, the agriculture with applied digital also requires laborers to be capable of applying IT in the agricultural sector. On the basis of theoretical research, output standards from bachelor training programs in the field of agriculture in the world and Vietnam, along with practical investigation results, the article focuses on two main contents: clarify the content of IT application capacity of a student in the field of agriculture and forestry; building a competence framework and assessment criteria for IT application competence for students in the field of agriculture and forestry. The results of the article are documents for Thai Nguyen University of Agriculture and Forestry as well as training institutions for bachelors and engineers in agriculture and forestry to refer to in the process of developing training programs, assessing outcomes for students, as well as innovating training methods towards developing learners’ capacity

Requirements for information technology application competence for Vietnam agro-forestry students in the time of the 4th technology revolution

The professional work of today's agricultural and forestry engineers is changing dramatically under the impact of the 4th industrial revolution. In that context, the competence to apply information technology (IT) is one of the core and significant competencies. Therefore, in order for training products to meet the needs of society, one of the problems that training facility for agriculture and forestry industry need to solve is to clearly identify the basic requirements for agro-forestry graduates to meet the basic requirements of IT application competence. Based on theoretical and practical research on the IT application competence of each job position and the trend of employment change in the 4.0 period, the article presents the levels of IT application competence in the agro-forestry industry. On the basis of test results and opinions of experts and employers, the article has proposed the components and required levels of IT application competence for agro-forestry students. The research results, in addition to providing information on the current state of students' IT application competence, are also a good reference source for agro-forestry training institutions to set learning outcomes, develop training programs, and innovate new training methods to promptly provide high-quality human resources for the agro-forestry industry in the context of the 4th industrial revolution

Modeling of Errors Realized by a Human Learner in Virtual Environment for Training

This study focuses on the notion of erroneous actions realized by human learners in Virtual Environments for Training. Our principal objective is to develop an Intelligent Tutoring System (ITS) suggesting pedagogical assistances to the human teacher. For that, the ITS must obviously detect and classify erroneous actions produced by learners during the realization of procedural and collaborative work. Further, in order to better support human teacher and facilitate his comprehension, it is necessary to show the teacher why learner made an error. Addressing this issue, we firstly modeling the Cognitive Reliability and Error Analysis Method (CREAM). Then, we integrate the retrospective analysis mechanism of CREAM into our existing ITS, thus enable the system to indicate the path of probable cause-effect explaining reasons why errors have occurred