Pub Date : 2020-12-18DOI: 10.32508/stdjet.v3i4.753
L. Le, K. Nguyen
In this study, the forward and backward thermocapillary migration of fluids in a microchannel is numerically investigated. Both the upper wall and the lower wall of the microchannel are set to be an ambient temperature. Two 40mW heat sources activated periodically are placed on the left side and the right side of the droplet in a microchannel. When the heat source is turned on, a pair of asymmetric thermocapillary convection vortices is formed inside the droplet. The isotherms inside the droplet are extremely distorted by the thermocapillary convection. The forward and backward thermocapillary migration results in the net thermocapillary momentum which drives a water droplet moves from the hot side of the open channel to the cold side. The temperature gradient at the free interface on the side of acting heat source is always smaller than that on the cold side. The actuation velocity of the liquid droplet first increases significantly, and then decreases continuously for various interval times. The dynamic contact angle of a water droplet is strongly affected by the forward and backward oil flow motion and the net thermocapillary momentum inside the droplet. It is alternated due to the pressure difference acting on the free interface between two immiscible fluids during actuation process.
{"title":"A simulation study of the forward and backward thermocapillary migration of fluids in a microchannel","authors":"L. Le, K. Nguyen","doi":"10.32508/stdjet.v3i4.753","DOIUrl":"https://doi.org/10.32508/stdjet.v3i4.753","url":null,"abstract":"In this study, the forward and backward thermocapillary migration of fluids in a microchannel is numerically investigated. Both the upper wall and the lower wall of the microchannel are set to be an ambient temperature. Two 40mW heat sources activated periodically are placed on the left side and the right side of the droplet in a microchannel. When the heat source is turned on, a pair of asymmetric thermocapillary convection vortices is formed inside the droplet. The isotherms inside the droplet are extremely distorted by the thermocapillary convection. The forward and backward thermocapillary migration results in the net thermocapillary momentum which drives a water droplet moves from the hot side of the open channel to the cold side. The temperature gradient at the free interface on the side of acting heat source is always smaller than that on the cold side. The actuation velocity of the liquid droplet first increases significantly, and then decreases continuously for various interval times. The dynamic contact angle of a water droplet is strongly affected by the forward and backward oil flow motion and the net thermocapillary momentum inside the droplet. It is alternated due to the pressure difference acting on the free interface between two immiscible fluids during actuation process.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129812848","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 : 2020-12-04DOI: 10.32508/stdjet.v3isi1.571
D. T. Anh, T. Nam
Chaotic time series are widespread in several real world areas such as finance, environment, meteorology, traffic flow, weather. A chaotic time series is considered as generated from the deterministic dynamics of a nonlinear system. The chaotic system is sensitive to initial conditions; points that are arbitrarily close initially become exponentially further apart with progressing time. Therefore, it is challenging to make accurate prediction in chaotic time series. The prediction using conventional statistical techniques, k-nearest-nearest neighbors algorithm, Multi-Layer-Perceptron (MPL) neural networks, Recurrent Neural Networks, Radial-Basis-Function (RBF) Networks and Support Vector Machines, do not give reliable prediction results for chaotic time series. In this paper, we investigate the use of a deep learning method, Deep Belief Network (DBN), combined with chaos theory to forecast chaotic time series. DBN should be used to forecast chaotic time series. First, the chaotic time series are analyzed by calculating the largest Lyapunov exponent, reconstructing the time series by phase-space reconstruction and determining the best embedding dimension and the best delay time. When the forecasting model is constructed, the deep belief network is used to feature learning and the neural network is used for prediction. We also compare the DBN –based method to RBF network-based method, which is the state-of-the-art method for forecasting chaotic time series. The predictive performance of the two models is examined using mean absolute error (MAE), mean squared error (MSE) and mean absolute percentage error (MAPE). Experimental results on several synthetic and real world chaotic datasets revealed that the DBN model is applicable to the prediction of chaotic time series since it achieves better performance than RBF network.
{"title":"Chaotic time series prediction with deep belief networks: an empirical evaluation","authors":"D. T. Anh, T. Nam","doi":"10.32508/stdjet.v3isi1.571","DOIUrl":"https://doi.org/10.32508/stdjet.v3isi1.571","url":null,"abstract":"Chaotic time series are widespread in several real world areas such as finance, environment, meteorology, traffic flow, weather. A chaotic time series is considered as generated from the deterministic dynamics of a nonlinear system. The chaotic system is sensitive to initial conditions; points that are arbitrarily close initially become exponentially further apart with progressing time. Therefore, it is challenging to make accurate prediction in chaotic time series. The prediction using conventional statistical techniques, k-nearest-nearest neighbors algorithm, Multi-Layer-Perceptron (MPL) neural networks, Recurrent Neural Networks, Radial-Basis-Function (RBF) Networks and Support Vector Machines, do not give reliable prediction results for chaotic time series. In this paper, we investigate the use of a deep learning method, Deep Belief Network (DBN), combined with chaos theory to forecast chaotic time series. DBN should be used to forecast chaotic time series. First, the chaotic time series are analyzed by calculating the largest Lyapunov exponent, reconstructing the time series by phase-space reconstruction and determining the best embedding dimension and the best delay time. When the forecasting model is constructed, the deep belief network is used to feature learning and the neural network is used for prediction. We also compare the DBN –based method to RBF network-based method, which is the state-of-the-art method for forecasting chaotic time series. The predictive performance of the two models is examined using mean absolute error (MAE), mean squared error (MSE) and mean absolute percentage error (MAPE). Experimental results on several synthetic and real world chaotic datasets revealed that the DBN model is applicable to the prediction of chaotic time series since it achieves better performance than RBF network.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127414660","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 : 2020-10-22DOI: 10.32508/stdjet.v3i3.658
D. Nguyen, Hùng Anh Lý, Cong-Truyen Duong
The non-Newtonian fluid is one type of shear thickening fluid which applied to process the complicated products. In this study, the new method of shear thickening fluid polishing (STFP) was used to polish the alloy steel SCM435 gears and the principle and performance of polishing process were also introduced. In the polishing process, the inclination angle of gears was believed to be an important parameter that affects the pressure and surface quality at different position on the tooth surfaces because it determines the contact between the polishing fluid and the tooth surface of the gear. The influence of the inclination angles on the pressure distribution and characteristics of fluid flow was performed by simulation process. The inclination angles of 0, 4, 8, 12, 16, 20 and 24 degrees were chosen in this study. As a result, the best inclination angle of gears is about 16 degree in the machining process. The tooth surfaces of gear have been in contact with the polishing fluid and the produced pressure reaches of 14.88 kPa. In addition, the influence of polishing speed on pressure were carried out in this study when inclination angle was established about 16 degree. The produced pressure on tooth surfaces increased with increasing the polishing speed. The results indicated that the different polishing speed also greatly affects the surface quality and machining efficiency. Therefore, the suggested machining method can become a suitable processing method for polishing the complicated products.
{"title":"Simulation study on polishing of gear surfaces in non-Newtonian fluid","authors":"D. Nguyen, Hùng Anh Lý, Cong-Truyen Duong","doi":"10.32508/stdjet.v3i3.658","DOIUrl":"https://doi.org/10.32508/stdjet.v3i3.658","url":null,"abstract":"The non-Newtonian fluid is one type of shear thickening fluid which applied to process the complicated products. In this study, the new method of shear thickening fluid polishing (STFP) was used to polish the alloy steel SCM435 gears and the principle and performance of polishing process were also introduced. In the polishing process, the inclination angle of gears was believed to be an important parameter that affects the pressure and surface quality at different position on the tooth surfaces because it determines the contact between the polishing fluid and the tooth surface of the gear. The influence of the inclination angles on the pressure distribution and characteristics of fluid flow was performed by simulation process. The inclination angles of 0, 4, 8, 12, 16, 20 and 24 degrees were chosen in this study. As a result, the best inclination angle of gears is about 16 degree in the machining process. The tooth surfaces of gear have been in contact with the polishing fluid and the produced pressure reaches of 14.88 kPa. In addition, the influence of polishing speed on pressure were carried out in this study when inclination angle was established about 16 degree. The produced pressure on tooth surfaces increased with increasing the polishing speed. The results indicated that the different polishing speed also greatly affects the surface quality and machining efficiency. Therefore, the suggested machining method can become a suitable processing method for polishing the complicated products.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130632240","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 : 2020-09-19DOI: 10.32508/stdjet.v2isi2.493
K. Nguyen, N. Tien, N. Hung, Vu Cong Hoa
This paper applies isogeometric analysis (IGA) to simulate active control of the functionally graded material (FGM) plates by using piezoelectric material patches. This control helps to reduce the deflection of the plate under the effect of static load, which makes the structure more resistant to loading. IGA is built on the non-uniform rational basis spline (NURBS) basic function with many advantages such as: describing geometry exactly by approximating by higher order function and directly using this function to approach procedure. Furthermore, NURBS geometry has mesh flexibility and high continuity between elements, making the problem highly accurate. Three-dimensional model for plate-like structure consists of upper and lower layers made of piezoelectric materials, the middle layer is FGM. The obtained results will be verified with the published results to prove the efficiency of the proposed method for this problem. Through the obtained results, it is shown that IGA is used effectively for the active control problem by piezoelectric patches to reduce the displacement of FGM plates. The efficiency shown when using a small number of degrees of freedom but still ensuring the solution has accurate results when compared with the reference solution.
{"title":"An application of isogeometric analysis for active control the solid functionally graded material plates with actuator patches using piezoelectric material","authors":"K. Nguyen, N. Tien, N. Hung, Vu Cong Hoa","doi":"10.32508/stdjet.v2isi2.493","DOIUrl":"https://doi.org/10.32508/stdjet.v2isi2.493","url":null,"abstract":"This paper applies isogeometric analysis (IGA) to simulate active control of the functionally graded material (FGM) plates by using piezoelectric material patches. This control helps to reduce the deflection of the plate under the effect of static load, which makes the structure more resistant to loading. IGA is built on the non-uniform rational basis spline (NURBS) basic function with many advantages such as: describing geometry exactly by approximating by higher order function and directly using this function to approach procedure. Furthermore, NURBS geometry has mesh flexibility and high continuity between elements, making the problem highly accurate. Three-dimensional model for plate-like structure consists of upper and lower layers made of piezoelectric materials, the middle layer is FGM. The obtained results will be verified with the published results to prove the efficiency of the proposed method for this problem. Through the obtained results, it is shown that IGA is used effectively for the active control problem by piezoelectric patches to reduce the displacement of FGM plates. The efficiency shown when using a small number of degrees of freedom but still ensuring the solution has accurate results when compared with the reference solution.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125581519","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 : 2020-09-19DOI: 10.32508/stdjet.v2isi2.495
Đạt Tiến Huỳnh, D. Nguyễn, B. Le
Nowadays, with the strong development of the world's economy, the power system reliability issue is increasingly concerned. A high reliable power system brings peace of mind in production investment, stability in national security, citizen's satisfaction… Therefore, serious researches of the power system reliability problem is very necessary. Based on that researches, we can accurately evaluate the situation, propose operational scenarios, troubleshoot reasonably, plan properly for the future. From there, we can implement the ultimate goal of the power system reliability problem is to maximize the reliability, meeting the nation's development need. However, at present, power system reliability problems in many countries have not yet applied updated and objective assessment tools, only exploiting the surface of the problem. Through the research process, the authors publish this paper to outline the basic concepts, the classification and the parameters of the power system reliability problem. Besides, the paper summarizes in detail the methods of calculating and evaluating power system reliability based on the current mathematical models (Analytical Graph method, State Space method, Failure Tree method, Monte - Carlo method) with examples of each method. Thereby, these methods are compared and indicated the applications in specific situations.
{"title":"Overview of mathematical methods for power system reliability evaluation","authors":"Đạt Tiến Huỳnh, D. Nguyễn, B. Le","doi":"10.32508/stdjet.v2isi2.495","DOIUrl":"https://doi.org/10.32508/stdjet.v2isi2.495","url":null,"abstract":"Nowadays, with the strong development of the world's economy, the power system reliability issue is increasingly concerned. A high reliable power system brings peace of mind in production investment, stability in national security, citizen's satisfaction… Therefore, serious researches of the power system reliability problem is very necessary. Based on that researches, we can accurately evaluate the situation, propose operational scenarios, troubleshoot reasonably, plan properly for the future. From there, we can implement the ultimate goal of the power system reliability problem is to maximize the reliability, meeting the nation's development need. However, at present, power system reliability problems in many countries have not yet applied updated and objective assessment tools, only exploiting the surface of the problem. Through the research process, the authors publish this paper to outline the basic concepts, the classification and the parameters of the power system reliability problem. Besides, the paper summarizes in detail the methods of calculating and evaluating power system reliability based on the current mathematical models (Analytical Graph method, State Space method, Failure Tree method, Monte - Carlo method) with examples of each method. Thereby, these methods are compared and indicated the applications in specific situations.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127795043","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 : 2020-09-19DOI: 10.32508/stdjet.v3isi1.540
Sang T. T. Nguyen, B. Tran
Recommender systems (RS) have become a fundamental tool for helping users make decisions around millions of different choices nowadays – the era of Big Data. It brings a huge benefit for many business models around the world due to their effectiveness on the target customers. A lot of recommendation models and techniques have been proposed and many accomplished incredible outcomes. Collaborative filtering and content-based filtering methods are common, but these both have some disadvantages. A critical one is that they only focus on a user's long-term static preference while ignoring his or her short-term transactional patterns, which results in missing the user's preference shift through the time. In this case, the user's intent at a certain time point may be easily submerged by his or her historical decision behaviors, which leads to unreliable recommendations. To deal with this issue, a session of user interactions with the items can be considered as a solution. In this study, Long Short-Term Memory (LSTM) networks will be analyzed to be applied to user sessions in a recommender system. The MovieLens dataset is considered as a case study of movie recommender systems. This dataset is preprocessed to extract user-movie sessions for user behavior discovery and making movie recommendations to users. Several experiments have been carried out to evaluate the LSTM-based movie recommender system. In the experiments, the LSTM networks are compared with a similar deep learning method, which is Recurrent Neural Networks (RNN), and a baseline machine learning method, which is the collaborative filtering using item-based nearest neighbors (item-KNN). It has been found that the LSTM networks are able to be improved by optimizing their hyperparameters and outperform the other methods when predicting the next movies interested by users.
{"title":"Long Short-Term Memory Based Movie Recommendation","authors":"Sang T. T. Nguyen, B. Tran","doi":"10.32508/stdjet.v3isi1.540","DOIUrl":"https://doi.org/10.32508/stdjet.v3isi1.540","url":null,"abstract":"Recommender systems (RS) have become a fundamental tool for helping users make decisions around millions of different choices nowadays – the era of Big Data. It brings a huge benefit for many business models around the world due to their effectiveness on the target customers. A lot of recommendation models and techniques have been proposed and many accomplished incredible outcomes. Collaborative filtering and content-based filtering methods are common, but these both have some disadvantages. A critical one is that they only focus on a user's long-term static preference while ignoring his or her short-term transactional patterns, which results in missing the user's preference shift through the time. In this case, the user's intent at a certain time point may be easily submerged by his or her historical decision behaviors, which leads to unreliable recommendations. To deal with this issue, a session of user interactions with the items can be considered as a solution. In this study, Long Short-Term Memory (LSTM) networks will be analyzed to be applied to user sessions in a recommender system. The MovieLens dataset is considered as a case study of movie recommender systems. This dataset is preprocessed to extract user-movie sessions for user behavior discovery and making movie recommendations to users. Several experiments have been carried out to evaluate the LSTM-based movie recommender system. In the experiments, the LSTM networks are compared with a similar deep learning method, which is Recurrent Neural Networks (RNN), and a baseline machine learning method, which is the collaborative filtering using item-based nearest neighbors (item-KNN). It has been found that the LSTM networks are able to be improved by optimizing their hyperparameters and outperform the other methods when predicting the next movies interested by users.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123385994","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 : 2020-09-19DOI: 10.32508/stdjet.v2isi2.498
K. Nguyen, Nguyen Manh Tien, Nguyen Ba Dat, Vu Cong Hoa
This article presents the use of isogeometric analysis (IGA) to analyse the behaviour of the functionally graded material (FGM) plate structures with piezoelectric patches. This study investigates the effect of piezoelectric patches on the plate structure made of FGM material as a solid model. Because IGA is based on the NURBS (Non-uniform rational basis spline) approximation, this method describes the exact geometry with the higher-order functions approach. The effectiveness of the present method is to use the few degrees of freedom combining a high-order approximation function between elements to ensure the accuracy of the result, which reduces the computational time and saves the required memory. In addition, NURBS geometry has also been shown to be a viable approach due to the flexibility in mesh construction such as refinement and high-order continuity that warranty correctly the results of the problem. Based on the advantages that IGA has been proved by many previous studies, we built a three-dimensional model for plate structure consisting of upper and lower layers with piezoelectric patches, middle layer with FGM material. The results are verified and compared to the commercial Comsol software to prove the effectiveness of the method for this problem.
{"title":"Analyse the behavior of the functionally graded material plate structures with piezoelectric patches by using isogeometric analysis","authors":"K. Nguyen, Nguyen Manh Tien, Nguyen Ba Dat, Vu Cong Hoa","doi":"10.32508/stdjet.v2isi2.498","DOIUrl":"https://doi.org/10.32508/stdjet.v2isi2.498","url":null,"abstract":"This article presents the use of isogeometric analysis (IGA) to analyse the behaviour of the functionally graded material (FGM) plate structures with piezoelectric patches. This study investigates the effect of piezoelectric patches on the plate structure made of FGM material as a solid model. Because IGA is based on the NURBS (Non-uniform rational basis spline) approximation, this method describes the exact geometry with the higher-order functions approach. The effectiveness of the present method is to use the few degrees of freedom combining a high-order approximation function between elements to ensure the accuracy of the result, which reduces the computational time and saves the required memory. In addition, NURBS geometry has also been shown to be a viable approach due to the flexibility in mesh construction such as refinement and high-order continuity that warranty correctly the results of the problem. Based on the advantages that IGA has been proved by many previous studies, we built a three-dimensional model for plate structure consisting of upper and lower layers with piezoelectric patches, middle layer with FGM material. The results are verified and compared to the commercial Comsol software to prove the effectiveness of the method for this problem.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131229279","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}
Nowaday in Vietnam, the verification and maintenance of 220kV - 500kV transmission lines is mainly done by manual labor. However, this task is quite hard, the workers have many difficulties such as the long moving distance (hundreds of kilometers) through many areas of complex terrain to verify the data and prevent the widespread problems. The efficiency and quality of line check also depends on the enthusiasm and experience of the workers. The demand to develop the power grid is constantly increasing to release full capacity from solar power plants, wind power plants, making the line always operating in overload state. Some problems are caused by the rapid growth of plants violating high voltage transmission line safety distances.Therefore, an online transmission line monitoring system will be a useful tool for improving the line operation and reduce the pressure for workers. In this paper, the application of the wireless data transmission platform and LABVIEW programming software to build a system for online data collection of lines, program settings, applications on mobile devices. Dynamic monitoring of lines over the Internet reduces the workload of workers.
{"title":"Application of IoT in power transmission line monitoring","authors":"Minh Quang Huynh, Thinh Tran Ngoc Huy, Hoang Cat Tien Lam","doi":"10.32508/stdjet.v2isi2.452","DOIUrl":"https://doi.org/10.32508/stdjet.v2isi2.452","url":null,"abstract":"Nowaday in Vietnam, the verification and maintenance of 220kV - 500kV transmission lines is mainly done by manual labor. However, this task is quite hard, the workers have many difficulties such as the long moving distance (hundreds of kilometers) through many areas of complex terrain to verify the data and prevent the widespread problems. The efficiency and quality of line check also depends on the enthusiasm and experience of the workers. The demand to develop the power grid is constantly increasing to release full capacity from solar power plants, wind power plants, making the line always operating in overload state. Some problems are caused by the rapid growth of plants violating high voltage transmission line safety distances.Therefore, an online transmission line monitoring system will be a useful tool for improving the line operation and reduce the pressure for workers. In this paper, the application of the wireless data transmission platform and LABVIEW programming software to build a system for online data collection of lines, program settings, applications on mobile devices. Dynamic monitoring of lines over the Internet reduces the workload of workers.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130039578","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 : 2020-09-19DOI: 10.32508/stdjet.v3isi1.514
H. Nguyễn, Minh-Thinh Le, Duc-Hiep Nguyen, Thanh-Van Le, Nguyen Huynh-Tuong, Hoang-Anh Pham
Traceability not only meets the social needs of product information transparency and reinforces the trust of consumers, but also meets the needs of enterprises for brand protection and enhances the competition in markets. Since a traceability system collects every necessary information at every stage in a supply chain, it is also an efficient tool for monitoring and optimizing the production procedure. Adopting information technology to digitalize the business process is an inevitable trend to improve the efficiency in information management and especially quickly detect fraud problems. However, with the digitized process via a computer software system, the challenge remains as to whether digitized data is real. The reality shows that changing digital data is easier than paper-based data. Thus, it is necessary to have a digitalized process and a secure mechanism for ensuring transparency, correctness, and consistency of data leading to more efficiency in incidents detection and trace problems tracing. An emerging technology, Blockchain, has attracted more attention after its great success in finance due to various dominant features in preventing data changes even from the internal system. Technically, Blockchain is a ledger that records the entire transaction history publicly on a network of peer-to-peer computers of the time. One common ledger will be shared among all collaborative organizations in an ecosystem to ensure data immutability and undeniable responsibility, thereby enhancing data transparency. Therefore, applying Blockchain technology in agriculture will improve the current traceability process, aiming to increase the responsibility of the objects in the process and transparency of information for consumers. In this paper, we propose a framework that utilizes Blockchain to robustize traceability systems. Additionally, our proposed framework is compliant with the GS1 standard to achieve high reliability and compatibility on a global scale.
{"title":"Towards a blockchain-based framework for traceability in compliance with GS1","authors":"H. Nguyễn, Minh-Thinh Le, Duc-Hiep Nguyen, Thanh-Van Le, Nguyen Huynh-Tuong, Hoang-Anh Pham","doi":"10.32508/stdjet.v3isi1.514","DOIUrl":"https://doi.org/10.32508/stdjet.v3isi1.514","url":null,"abstract":"Traceability not only meets the social needs of product information transparency and reinforces the trust of consumers, but also meets the needs of enterprises for brand protection and enhances the competition in markets. Since a traceability system collects every necessary information at every stage in a supply chain, it is also an efficient tool for monitoring and optimizing the production procedure. Adopting information technology to digitalize the business process is an inevitable trend to improve the efficiency in information management and especially quickly detect fraud problems. However, with the digitized process via a computer software system, the challenge remains as to whether digitized data is real. The reality shows that changing digital data is easier than paper-based data. Thus, it is necessary to have a digitalized process and a secure mechanism for ensuring transparency, correctness, and consistency of data leading to more efficiency in incidents detection and trace problems tracing. An emerging technology, Blockchain, has attracted more attention after its great success in finance due to various dominant features in preventing data changes even from the internal system. Technically, Blockchain is a ledger that records the entire transaction history publicly on a network of peer-to-peer computers of the time. One common ledger will be shared among all collaborative organizations in an ecosystem to ensure data immutability and undeniable responsibility, thereby enhancing data transparency. Therefore, applying Blockchain technology in agriculture will improve the current traceability process, aiming to increase the responsibility of the objects in the process and transparency of information for consumers. In this paper, we propose a framework that utilizes Blockchain to robustize traceability systems. Additionally, our proposed framework is compliant with the GS1 standard to achieve high reliability and compatibility on a global scale.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122132304","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 : 2020-09-19DOI: 10.32508/stdjet.v2isi2.484
Võ Trần Thế Vĩ, A. Trần, Duoc Nguyen The, Quan Chung Minh, P. Thanh, Anh Phung Ngoc, Adriano Marzec, Duy Nhat
Currently, there have been no publications of using unmanned aerial vehicles (drones) in mine management and supervision in Vietnam. Meanwhile, drones have been used in many fields worldwide, especially in exploitation management. Therefore, the purpose of this paper is to present the feasibility of applying unmanned aerial vehicles to the management of open-cast mines. The data of this research was collected from Ta Zon 2 quarry using Phantom 4 at two moments (October 2018 and February 2019). Through the methods of calibrating and processing images on specialized software, the authors obtained point cloud data sets and digital elevation models (DEM) of the mining area two times. In which, the point cloud is the key product of the research, this large and detailed data set helps to fully and accurately reproduce and process the DEM and 3D models of the mine area. Next, the authors compared and adjusted DEM of the mine area, resulting in fluctuations of the geological block in Ta Zon 2 quarry which is 21,908 +/- 47 m3. From the obtained results, the study confirms the feasibility and reliability of the method. Thereby, the study opens a new management method of mining activities in open-pit quarries for the Government.
{"title":"Research managing exploit activity using unmanned aerial vehicle at Ta Zon mine","authors":"Võ Trần Thế Vĩ, A. Trần, Duoc Nguyen The, Quan Chung Minh, P. Thanh, Anh Phung Ngoc, Adriano Marzec, Duy Nhat","doi":"10.32508/stdjet.v2isi2.484","DOIUrl":"https://doi.org/10.32508/stdjet.v2isi2.484","url":null,"abstract":"Currently, there have been no publications of using unmanned aerial vehicles (drones) in mine management and supervision in Vietnam. Meanwhile, drones have been used in many fields worldwide, especially in exploitation management. Therefore, the purpose of this paper is to present the feasibility of applying unmanned aerial vehicles to the management of open-cast mines. The data of this research was collected from Ta Zon 2 quarry using Phantom 4 at two moments (October 2018 and February 2019). Through the methods of calibrating and processing images on specialized software, the authors obtained point cloud data sets and digital elevation models (DEM) of the mining area two times. In which, the point cloud is the key product of the research, this large and detailed data set helps to fully and accurately reproduce and process the DEM and 3D models of the mine area. Next, the authors compared and adjusted DEM of the mine area, resulting in fluctuations of the geological block in Ta Zon 2 quarry which is 21,908 +/- 47 m3. From the obtained results, the study confirms the feasibility and reliability of the method. Thereby, the study opens a new management method of mining activities in open-pit quarries for the Government.","PeriodicalId":205539,"journal":{"name":"Science & Technology Development Journal - Engineering and Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129293733","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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