Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2107
L. N. Nguyen
In recent years, the Internet has opened up opportunities for manufacturers and retailers to advertise and sell their products online. Online shopping is becoming a habit of consumers. Although there are many benefits of buying and selling online, such as easy product selection and comparison from many different sellers before deciding which one to buy, reading comments before buying a product is a habit of customers. It helps them learn from the experiences of former buyers. However, buying based on product reviews is risky, especially fake reviews. These reviews affect the buyers’ purchase decisions. Detecting fake reviews is a critical problem. This study proposed a machine learning-based framework for detecting fake reviews by extracting features from text and deployed six machine-learning models for classification tasks. Experimental results showed that the SVC is a reliable machine-learning algorithm for classifying truthful reviews and fake reviews using the TF-IDF feature extraction technique.
{"title":"AN EMPIRICAL STUDY ON FAKE REVIEW DETECTION","authors":"L. N. Nguyen","doi":"10.35382/tvujs.13.6.2023.2107","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2107","url":null,"abstract":"In recent years, the Internet has opened up opportunities for manufacturers and retailers to advertise and sell their products online. Online shopping is becoming a habit of consumers. Although there are many benefits of buying and selling online, such as easy product selection and comparison from many different sellers before deciding which one to buy, reading comments before buying a product is a habit of customers. It helps them learn from the experiences of former buyers. However, buying based on product reviews is risky, especially fake reviews. These reviews affect the buyers’ purchase decisions. Detecting fake reviews is a critical problem. This study proposed a machine learning-based framework for detecting fake reviews by extracting features from text and deployed six machine-learning models for classification tasks. Experimental results showed that the SVC is a reliable machine-learning algorithm for classifying truthful reviews and fake reviews using the TF-IDF feature extraction technique.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2102
Hung Quoc Ly, Nam Thi Phuong Phan
The recommender system helps recommend relevant information items to the user. In recommender systems, collaborative filtering is commonly used to gauge users' interest in new products. Collaborative filtering systems often rely on data about the similarity of users or products in the system in the past to predict preferences or new products for specific users. In this article, we apply the collaborative filtering technique with the k-nearest neighbor to recommend documents for the English center. The implementation process includes the following steps: Firstly, we build a system to collect and store data in the database; Secondly, we implement a recommendation algorithm with three cases, including Case 1 for new users, Case 2 for users who have seen the most document items, and Case 3 for centers' members. The results make it easier for users to find documents.
推荐系统有助于向用户推荐相关的信息项目。在推荐系统中，协同过滤通常用于衡量用户对新产品的兴趣。协同过滤系统通常依靠过去系统中用户或产品的相似性数据来预测特定用户的偏好或新产品。在本文中，我们应用 k 近邻协同过滤技术为英语中心推荐文档。实施过程包括以下步骤：首先，我们建立了一个系统来收集数据并将其存储在数据库中；其次，我们实现了三种情况下的推荐算法，包括针对新用户的情况 1、针对看过最多文档项目的用户的情况 2 和针对中心会员的情况 3。结果使用户更容易找到文档。
{"title":"APPLYING COLLABORATIVE FILTERING METHOD FOR DOCUMENT RECOMMENDER SYSTEM","authors":"Hung Quoc Ly, Nam Thi Phuong Phan","doi":"10.35382/tvujs.13.6.2023.2102","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2102","url":null,"abstract":"The recommender system helps recommend relevant information items to the user. In recommender systems, collaborative filtering is commonly used to gauge users' interest in new products. Collaborative filtering systems often rely on data about the similarity of users or products in the system in the past to predict preferences or new products for specific users. In this article, we apply the collaborative filtering technique with the k-nearest neighbor to recommend documents for the English center. The implementation process includes the following steps: Firstly, we build a system to collect and store data in the database; Secondly, we implement a recommendation algorithm with three cases, including Case 1 for new users, Case 2 for users who have seen the most document items, and Case 3 for centers' members. The results make it easier for users to find documents.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2115
B. Duong, Men Van Truong, H. M. Duong, Quoc Kien Giang
The Timoshenko beam theory is widely used in various fields due to its ability to accurately model the behavior of beams with specific characteristics. However, when it comes to analyzing large deflection beams, the Timoshenko beam theory becomes less precise. This paper introduces a proposed discrete Timoshenko beam model to predict the mechanical behavior of slender beams subjected to large deflections under various loadings. A mathematical analysis was developed and validated using finite element analysis in conjunction with a compliant mechanism. The modeling results demonstrate that the force-displacement behavior of a bistable mechanism can be accurately captured by the discrete Timoshenko beam model. In particular, when comparing the discrete Timoshenko beam model and finite element analysis, the maximum and minimum forces exhibited a strong agreement, with a percentage difference of less than 3% and 5%, respectively. In terms of the total elastic strain energy and maximum principal stress, the deviations between the discrete Timoshenko beam model and finite element analysis were approximately 2% and 7%, respectively. The proposed model can be integrated into an optimization algorithm for designing compliant mechanisms.
{"title":"DISCRETE TIMOSHENKO BEAM MODEL FOR MODELING BEAMS WITH NON-UNIFORM CROSS-SECTIONAL AREA, CURVATURE, AND LARGE DEFLECTION","authors":"B. Duong, Men Van Truong, H. M. Duong, Quoc Kien Giang","doi":"10.35382/tvujs.13.6.2023.2115","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2115","url":null,"abstract":"The Timoshenko beam theory is widely used in various fields due to its ability to accurately model the behavior of beams with specific characteristics. However, when it comes to analyzing large deflection beams, the Timoshenko beam theory becomes less precise. This paper introduces a proposed discrete Timoshenko beam model to predict the mechanical behavior of slender beams subjected to large deflections under various loadings. A mathematical analysis was developed and validated using finite element analysis in conjunction with a compliant mechanism. The modeling results demonstrate that the force-displacement behavior of a bistable mechanism can be accurately captured by the discrete Timoshenko beam model. In particular, when comparing the discrete Timoshenko beam model and finite element analysis, the maximum and minimum forces exhibited a strong agreement, with a percentage difference of less than 3% and 5%, respectively. In terms of the total elastic strain energy and maximum principal stress, the deviations between the discrete Timoshenko beam model and finite element analysis were approximately 2% and 7%, respectively. The proposed model can be integrated into an optimization algorithm for designing compliant mechanisms.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2126
Tung Thanh Le, Hieu D. T. Phan, Tien Ngoc Nguyen
The stability assessment of the power system is one of the most important tasks in the design and operation of the power system. Stability is the ability of the system to recover to the initial state or close to the initial state after large disturbances to the initial state Duyen Hai 1 Thermal Power Plant belonging to Duyen Hai Power Center, consisting of two generating units, totaling two units, with a capacity of 1,245 MW, the output of electricity produced is about 7.8 billion kWh per year. The participation of Duyen Hai 1 Thermal Power Plant in the system has specific impacts on the stability of the system. Incidents that destabilize Duyen Hai 1 Thermal Power Plant can cause widespread power outages, leading to great economic losses. Therefore, the research team analyzes and evaluates the stability of Duyen Hai 1 Thermal Power Plant by using the standard theories of stability regarding rotor deflection angle, critical shear time, transient curves of mechanical quantities and power when agitation occurs, comparing the critical mode with the operating mode to conclude the possibility of stability.
电力系统的稳定性评估是电力系统设计和运行中最重要的任务之一。稳定性是指在初始状态受到较大扰动后，系统恢复到初始状态或接近初始状态的能力 杜延海电力中心下属的杜延海 1 热电厂由两台发电机组组成，共两台机组，发电能力为 1,245 兆瓦，每年发电量约为 78 亿千瓦时。Duyen Hai 1 号热电厂参与系统对系统的稳定性有具体影响。破坏 Duyen Hai 1 号热电厂稳定的事故会导致大面积停电，造成巨大的经济损失。因此，研究小组利用有关转子偏转角、临界剪切时间、搅拌时机械量和功率的瞬态曲线的标准稳定性理论，对杜彦海 1 号热电厂的稳定性进行分析和评估，并将临界模式与运行模式进行比较，以得出稳定性的可能性结论。
{"title":"BUILDING AN ANALYTICAL MODEL OF LINE STABILITY DUYEN HAI 1 THERMAL POWER FACTORY CONNECTED TO THE 220 KV GRID IN THE MEKONG RIVER DELTA, VIETNAM","authors":"Tung Thanh Le, Hieu D. T. Phan, Tien Ngoc Nguyen","doi":"10.35382/tvujs.13.6.2023.2126","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2126","url":null,"abstract":"The stability assessment of the power system is one of the most important tasks in the design and operation of the power system. Stability is the ability of the system to recover to the initial state or close to the initial state after large disturbances to the initial state Duyen Hai 1 Thermal Power Plant belonging to Duyen Hai Power Center, consisting of two generating units, totaling two units, with a capacity of 1,245 MW, the output of electricity produced is about 7.8 billion kWh per year. The participation of Duyen Hai 1 Thermal Power Plant in the system has specific impacts on the stability of the system. Incidents that destabilize Duyen Hai 1 Thermal Power Plant can cause widespread power outages, leading to great economic losses. Therefore, the research team analyzes and evaluates the stability of Duyen Hai 1 Thermal Power Plant by using the standard theories of stability regarding rotor deflection angle, critical shear time, transient curves of mechanical quantities and power when agitation occurs, comparing the critical mode with the operating mode to conclude the possibility of stability.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2129
Son Hoai Nguyen, Phat Thuan Lam, Vo L Trieu, Saren Van Huynh
Recently, metaheuristic optimization algorithms have been studied and applied in many fields of engineering, especially in solving structural optimization problems. For structures with complex behaviors, the selection of a suitable optimization algorithm significantly increases the computational efficiency and the accuracy of the solution. In this paper, we investigate the optimization problem of stiffened composite plates using Balancing Composite Motion Optimization. The core idea of the Balancing Composite Motion Optimization algorithm is that the searching movements of candidate solutions are compositely equalized in both global and local ones in the solution space of solving the fiber optimization problem of stiffened composite plates. A candidate solution can move closer to better ones to exploit the local regions and move further to explore the search space also. The method does not require algorithm parameters. The calculation results are compared with many other metaheuristic optimization methods to prove the accuracy and efficiency of the method.
{"title":"OPTIMIZATION OF STIFFENED COMPOSITE PLATE USING BALANCING COMPOSITE MOTION OPTIMIZATION","authors":"Son Hoai Nguyen, Phat Thuan Lam, Vo L Trieu, Saren Van Huynh","doi":"10.35382/tvujs.13.6.2023.2129","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2129","url":null,"abstract":"Recently, metaheuristic optimization algorithms have been studied and applied in many fields of engineering, especially in solving structural optimization problems. For structures with complex behaviors, the selection of a suitable optimization algorithm significantly increases the computational efficiency and the accuracy of the solution. In this paper, we investigate the optimization problem of stiffened composite plates using Balancing Composite Motion Optimization. The core idea of the Balancing Composite Motion Optimization algorithm is that the searching movements of candidate solutions are compositely equalized in both global and local ones in the solution space of solving the fiber optimization problem of stiffened composite plates. A candidate solution can move closer to better ones to exploit the local regions and move further to explore the search space also. The method does not require algorithm parameters. The calculation results are compared with many other metaheuristic optimization methods to prove the accuracy and efficiency of the method.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2125
Tan Van Tran, Ha Ngoc Ho, Tam Chi Do
Solar energy is a renewable energy source that is becoming increasingly popular in providing electricity for households and industrial production. Using solar panels also brings many benefits to human life. In particular, solar panels are advantageous in providing electricity to remote and isolated areas that do not have access to the national grid. However, like any other technology, solar panels also have particular environmental impacts that need to be taken into account. From reference sources, this study aims to make statistics and evaluate the impacts of solar panels on the environment. The analyzed results show that the land occupancy index of solar power is the least compared to other power sources for the power plant's life of more than 25 years.
{"title":"ASSESSMENT THE IMPACT OF SOLAR PANELS ON THE ENVIRONMENT","authors":"Tan Van Tran, Ha Ngoc Ho, Tam Chi Do","doi":"10.35382/tvujs.13.6.2023.2125","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2125","url":null,"abstract":"Solar energy is a renewable energy source that is becoming increasingly popular in providing electricity for households and industrial production. Using solar panels also brings many benefits to human life. In particular, solar panels are advantageous in providing electricity to remote and isolated areas that do not have access to the national grid. However, like any other technology, solar panels also have particular environmental impacts that need to be taken into account. From reference sources, this study aims to make statistics and evaluate the impacts of solar panels on the environment. The analyzed results show that the land occupancy index of solar power is the least compared to other power sources for the power plant's life of more than 25 years.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139356980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2119
Trai Phuoc Mai, Thanh Phuoc Nguyen, Phong Quoc Pham, Tuan Van Phan, Minh Nguyen Uyen Doan
The article presents the results of developing a control algorithm for the activation time of the driver-side airbag in cars. The authors used C++ programming language to build the control algorithm. The research results show that when applying this algorithm to the airbag control model, some characteristics can be observed and tested, such as the airbag activation time being compatible with the magnitude of impact force. This implies that the larger the impact force (collision), the faster the airbag activation time will be. When the sensor loses its signal, the system will display an error on the car's display screen. This algorithm can also change the input data settings so that users can adjust the data to improve the airbag's optimal operation.
文章介绍了汽车驾驶员侧安全气囊启动时间控制算法的开发成果。作者使用 C++ 编程语言构建了该控制算法。研究结果表明，将该算法应用于安全气囊控制模型时，可以观察和测试到一些特征，例如安全气囊的激活时间与撞击力的大小相匹配。这意味着撞击力（碰撞）越大，安全气囊的启动时间就越快。当传感器失去信号时，系统将在汽车显示屏上显示错误信息。该算法还可以更改输入数据的设置，以便用户调整数据，改善安全气囊的最佳运行状态。
{"title":"BUILDING A CONTROL ALGORITHM FOR AUTOMOTIVE AIRBAG RESPONSE CAPABILITY","authors":"Trai Phuoc Mai, Thanh Phuoc Nguyen, Phong Quoc Pham, Tuan Van Phan, Minh Nguyen Uyen Doan","doi":"10.35382/tvujs.13.6.2023.2119","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2119","url":null,"abstract":"The article presents the results of developing a control algorithm for the activation time of the driver-side airbag in cars. The authors used C++ programming language to build the control algorithm. The research results show that when applying this algorithm to the airbag control model, some characteristics can be observed and tested, such as the airbag activation time being compatible with the magnitude of impact force. This implies that the larger the impact force (collision), the faster the airbag activation time will be. When the sensor loses its signal, the system will display an error on the car's display screen. This algorithm can also change the input data settings so that users can adjust the data to improve the airbag's optimal operation.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2120
Hai Minh Le, Toan Song Tran
This paper presents a method for 3D LiDAR segmentation based on Euclidean clustering specifically designed for embedded systems. LiDAR sensors are widely used for perception tasks in autonomous vehicles, robotics, and other applications, providing dense point cloud data of the environment. Segmentation of the point cloud into meaningful objects is essential for understanding the surroundings and making informed decisions. Euclidean clustering is an effective approach for grouping points based on spatial proximity, enabling object segmentation. However, implementing such algorithms on embedded systems poses challenges due to limited computational resources. In this work, we propose an optimized implementation of the Euclidean clustering algorithm tailored for embedded systems to achieve real-time performance on the embedded system. The proposed approach involves acquiring raw point cloud data from the LiDAR sensor and preprocessing it to reduce noise and size. Adaptive Euclidean clustering is then applied to group points into clusters based on their spatial proximity. Extracted features such as centroids and bounding boxes are utilized for object classification and segmentation. Post-processing steps refine the segmentation results, improving accuracy and removing spurious clusters
{"title":"3D LIDAR SEGMENTATION BASED ON EUCLIDEAN CLUSTERING FOR EMBEDDED SYSTEM","authors":"Hai Minh Le, Toan Song Tran","doi":"10.35382/tvujs.13.6.2023.2120","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2120","url":null,"abstract":"This paper presents a method for 3D LiDAR segmentation based on Euclidean clustering specifically designed for embedded systems. LiDAR sensors are widely used for perception tasks in autonomous vehicles, robotics, and other applications, providing dense point cloud data of the environment. Segmentation of the point cloud into meaningful objects is essential for understanding the surroundings and making informed decisions. Euclidean clustering is an effective approach for grouping points based on spatial proximity, enabling object segmentation. However, implementing such algorithms on embedded systems poses challenges due to limited computational resources. In this work, we propose an optimized implementation of the Euclidean clustering algorithm tailored for embedded systems to achieve real-time performance on the embedded system. The proposed approach involves acquiring raw point cloud data from the LiDAR sensor and preprocessing it to reduce noise and size. Adaptive Euclidean clustering is then applied to group points into clusters based on their spatial proximity. Extracted features such as centroids and bounding boxes are utilized for object classification and segmentation. Post-processing steps refine the segmentation results, improving accuracy and removing spurious clusters","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2101
Dang Kim Nguyen, Van Hong Tran
This paper provides a solution for upgrading the existing training equipment and updating the training content to meet the current development trends in the automation field. Through experimentation with various options, the author chose to utilize Siemens’ SIMATIC IOT2050 to upgrade the MPS system and the Classification Station within the MPS system to illustrate the implementation process of this solution. The plan was executed through a series of steps, including configuring hardware devices, designing graphical interfaces, connecting communication to read and write PLC addresses, creating animated effects and interactive events within the interface, and connecting to access the monitoring and control interface via the internet. As a result of this project, the IoT technology training equipment in the industry has been upgraded and the Classification Station is now capable of being controlled and monitored remotely over the internet.
{"title":"USING SIMATIC IOT2050 TO CONTROL AND MONITOR MPS STATIONS","authors":"Dang Kim Nguyen, Van Hong Tran","doi":"10.35382/tvujs.13.6.2023.2101","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2101","url":null,"abstract":"This paper provides a solution for upgrading the existing training equipment and updating the training content to meet the current development trends in the automation field. Through experimentation with various options, the author chose to utilize Siemens’ SIMATIC IOT2050 to upgrade the MPS system and the Classification Station within the MPS system to illustrate the implementation process of this solution. The plan was executed through a series of steps, including configuring hardware devices, designing graphical interfaces, connecting communication to read and write PLC addresses, creating animated effects and interactive events within the interface, and connecting to access the monitoring and control interface via the internet. As a result of this project, the IoT technology training equipment in the industry has been upgraded and the Classification Station is now capable of being controlled and monitored remotely over the internet.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-20DOI: 10.35382/tvujs.13.6.2023.2106
Duy Khanh Nguyen, Son Thai Nguyen
Recently, climate change has posed a significant challenge to humanity, with temperature increment being a conspicuous phenomenon. The rise in global temperature has impacts not only humans but also animals leading to health issues, particularly heat stress in livestock. With the advancement of science and technology, numerous intelligent systems have been developed to support the livestock industry. In this study, we present the development of an Internet of Things system designed to monitor and alert heat stress conditions in livestock. As a result, the designed IoT system could track the temperature both inside and outside the livestock house. By depending on Temperature Humidity Index, the system also makes alters if the temperature is at risk of causing heat shock to livestock. In the future, the system could be developed to be applied in livestock farming and help mitigate heat stress in livestock.
{"title":"DEVELOPING AN IOT SYSTEM TO ALERT HEAT-STRESS FOR LIVESTOCK","authors":"Duy Khanh Nguyen, Son Thai Nguyen","doi":"10.35382/tvujs.13.6.2023.2106","DOIUrl":"https://doi.org/10.35382/tvujs.13.6.2023.2106","url":null,"abstract":"Recently, climate change has posed a significant challenge to humanity, with temperature increment being a conspicuous phenomenon. The rise in global temperature has impacts not only humans but also animals leading to health issues, particularly heat stress in livestock. With the advancement of science and technology, numerous intelligent systems have been developed to support the livestock industry. In this study, we present the development of an Internet of Things system designed to monitor and alert heat stress conditions in livestock. As a result, the designed IoT system could track the temperature both inside and outside the livestock house. By depending on Temperature Humidity Index, the system also makes alters if the temperature is at risk of causing heat shock to livestock. In the future, the system could be developed to be applied in livestock farming and help mitigate heat stress in livestock.","PeriodicalId":159074,"journal":{"name":"TRA VINH UNIVERSITY JOURNAL OF SCIENCE; ISSN: 2815-6072; E-ISSN: 2815-6099","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139357388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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