Pub Date : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227248
Tran Kim Toai, V. Hanh, Vo Minh Huan
This paper proposes the hybrid random forest and long short-term memory (LSTM) to mitigate overfitting issue in time series data in stock market. There are many techniques that reduce the overfitting such as data augmentation, regularization, feature selection, dimension reduction, and so on. We propose the model based on feature selection to reduce the model complexity. First, the model selects the stock data features by random forest model. As the result, the selected features are inputted to the LSTM to predict the stock price. By doing so, the proposed model can improve model accuracy in both training and test dataset and generalize well unseen data to mitigate overfitting. The hybrid random forest and LSTM is compared with hybrid ridge and LSTM, and single LSTM model in ability to mitigate overfitting. The MAE, RSME and R2 are used as performance evaluation metrics. We also conduct the study on various stock datasets to evaluate the performance of overcoming the overfitting problems.
{"title":"Hybrid Random Forest and Long Short-Term Memory to Mitigate Overfitting Issue in Time Series Stock Data","authors":"Tran Kim Toai, V. Hanh, Vo Minh Huan","doi":"10.1109/ICSSE58758.2023.10227248","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227248","url":null,"abstract":"This paper proposes the hybrid random forest and long short-term memory (LSTM) to mitigate overfitting issue in time series data in stock market. There are many techniques that reduce the overfitting such as data augmentation, regularization, feature selection, dimension reduction, and so on. We propose the model based on feature selection to reduce the model complexity. First, the model selects the stock data features by random forest model. As the result, the selected features are inputted to the LSTM to predict the stock price. By doing so, the proposed model can improve model accuracy in both training and test dataset and generalize well unseen data to mitigate overfitting. The hybrid random forest and LSTM is compared with hybrid ridge and LSTM, and single LSTM model in ability to mitigate overfitting. The MAE, RSME and R2 are used as performance evaluation metrics. We also conduct the study on various stock datasets to evaluate the performance of overcoming the overfitting problems.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957053","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227208
Truong-Dong Do, Nguyen Xuan Mung, H. Jeong, Yong-Seok Lee, Chang-Woo Sung, S. Hong
Over the past decades, quadcopters have been investigated, due to their mobility and flexibility to operate in a wide range of environments. They have been used in various areas, including surveillance and monitoring. During a mission, drones do not have to remain active once they have reached a target location. To conserve energy and maintain a static position, it is possible to perch and stop the motors in such situations. The problem of achieving a reliable and highly accurate perching method remains a challenge and promising. In this paper, a vision-based autonomous perching approach for nano quadcopters onto a predefined perching target on horizontal surfaces is proposed. First, a perching target with a small marker inside a larger one is designed to improve detection capability at a variety of ranges. Second, a monocular camera is used to calculate the relative poses of the flying vehicle from the markers detected. Then, a Kalman filter is applied to determine the pose more reliably, especially when measurement data is missing. Next, we introduce an algorithm for merging the pose data from multiple markers. Finally, the poses are sent to the perching planner to conduct the real flight test to align the drone with the target’s center and steer it there. Based on the experimental results, the approach proved to be effective and feasible. The drone can successfully perch on the center of markers within two centimeters of precision.
{"title":"Vision-based Autonomous Perching of Quadrotors on Horizontal Surfaces","authors":"Truong-Dong Do, Nguyen Xuan Mung, H. Jeong, Yong-Seok Lee, Chang-Woo Sung, S. Hong","doi":"10.1109/ICSSE58758.2023.10227208","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227208","url":null,"abstract":"Over the past decades, quadcopters have been investigated, due to their mobility and flexibility to operate in a wide range of environments. They have been used in various areas, including surveillance and monitoring. During a mission, drones do not have to remain active once they have reached a target location. To conserve energy and maintain a static position, it is possible to perch and stop the motors in such situations. The problem of achieving a reliable and highly accurate perching method remains a challenge and promising. In this paper, a vision-based autonomous perching approach for nano quadcopters onto a predefined perching target on horizontal surfaces is proposed. First, a perching target with a small marker inside a larger one is designed to improve detection capability at a variety of ranges. Second, a monocular camera is used to calculate the relative poses of the flying vehicle from the markers detected. Then, a Kalman filter is applied to determine the pose more reliably, especially when measurement data is missing. Next, we introduce an algorithm for merging the pose data from multiple markers. Finally, the poses are sent to the perching planner to conduct the real flight test to align the drone with the target’s center and steer it there. Based on the experimental results, the approach proved to be effective and feasible. The drone can successfully perch on the center of markers within two centimeters of precision.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125811348","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227197
Luan Nguyen, Nguyen Hoang Phuong, Lucaire Le, Long N. T. Tran, D. Vo, C. V. Vo
Vietnam is the country with the highest solar energy development rate in Southeast Asia thanks to the government’s attractive mechanisms and policies over the past decade. The installed capacity of solar power has increased dramatically from 105 MW in 201S to 16,504 MW by the end of 2020. This drastic increase has brought both positive and negative impacts to the power system; besides the positive impacts in terms of economics and the environment, many negative impacts have also been recorded in numerous studies related to power quality and system stability. This study was conducted to verify one of the most important impacts of high penetration level of photovoltaics (PV) into the power system, namely the impact on system’s active power loss; meanwhile, a power flow analysis model is used in combination with different PV penetration scenarios to find the maximum penetration limit where the voltage violations occur. A case-study was conducted for a medium voltage (MV) branch of Pleiku City power grid, Gia Lai Province, Vietnam using the ETAP power system analysis software. The results showed that an appropriate increase in PV penetration will help reduce power losses in the power system. When the penetration rate exceeds 135% of the system power, the reverse power flow resulting from the high penetration level of PV will lead to a large number of losses.
{"title":"Active power losses and the maximum penetration of PV in the MV distribution grid: Case-study of Pleiku, Vietnam","authors":"Luan Nguyen, Nguyen Hoang Phuong, Lucaire Le, Long N. T. Tran, D. Vo, C. V. Vo","doi":"10.1109/ICSSE58758.2023.10227197","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227197","url":null,"abstract":"Vietnam is the country with the highest solar energy development rate in Southeast Asia thanks to the government’s attractive mechanisms and policies over the past decade. The installed capacity of solar power has increased dramatically from 105 MW in 201S to 16,504 MW by the end of 2020. This drastic increase has brought both positive and negative impacts to the power system; besides the positive impacts in terms of economics and the environment, many negative impacts have also been recorded in numerous studies related to power quality and system stability. This study was conducted to verify one of the most important impacts of high penetration level of photovoltaics (PV) into the power system, namely the impact on system’s active power loss; meanwhile, a power flow analysis model is used in combination with different PV penetration scenarios to find the maximum penetration limit where the voltage violations occur. A case-study was conducted for a medium voltage (MV) branch of Pleiku City power grid, Gia Lai Province, Vietnam using the ETAP power system analysis software. The results showed that an appropriate increase in PV penetration will help reduce power losses in the power system. When the penetration rate exceeds 135% of the system power, the reverse power flow resulting from the high penetration level of PV will lead to a large number of losses.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121421009","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227142
Phuc Hong Lam, Khoa Nguyen Dang Tran, T. Nguyen, Hoa Truong Phuoc, H. Nguyen, D. M. Pham
DC microgrids offer a potential solution for efficient and reliable energy sharing within local communities. Nonetheless, conventional control techniques employed in these systems are hindered by their inability to ensure optimal energy distribution and load balancing, particularly under conditions of fluctuating loads and renewable power sources. To overcome these problems, this paper presents an adaptive droop controller that adjusts the droop parameters in real time using the primary current sharing loops to reduce the load current deviation and shifts the droop lines through the second loop to eliminate bus voltage deviation in DC microgrids. The proposed system adjusts its droop coefficients dynamically to regulate the load power. The performance of the proposed system is evaluated through PLECS software simulation. Simulation results show that the proposed system achieves better load balancing and stability compared to traditional control methods. Also, this study provides valuable insights into the development and implementation of adaptive droop control systems for automatic-energy sharing in DC microgrids, which can contribute to the development of sustainable and reliable energy systems in local communities.
{"title":"Adaptive Droop Control System for Automatic Voltage Restoration in DC Microgrids","authors":"Phuc Hong Lam, Khoa Nguyen Dang Tran, T. Nguyen, Hoa Truong Phuoc, H. Nguyen, D. M. Pham","doi":"10.1109/ICSSE58758.2023.10227142","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227142","url":null,"abstract":"DC microgrids offer a potential solution for efficient and reliable energy sharing within local communities. Nonetheless, conventional control techniques employed in these systems are hindered by their inability to ensure optimal energy distribution and load balancing, particularly under conditions of fluctuating loads and renewable power sources. To overcome these problems, this paper presents an adaptive droop controller that adjusts the droop parameters in real time using the primary current sharing loops to reduce the load current deviation and shifts the droop lines through the second loop to eliminate bus voltage deviation in DC microgrids. The proposed system adjusts its droop coefficients dynamically to regulate the load power. The performance of the proposed system is evaluated through PLECS software simulation. Simulation results show that the proposed system achieves better load balancing and stability compared to traditional control methods. Also, this study provides valuable insights into the development and implementation of adaptive droop control systems for automatic-energy sharing in DC microgrids, which can contribute to the development of sustainable and reliable energy systems in local communities.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131214448","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227144
Yong-Seok Lee, Nguyen Xuan Mung, Truong-Dong Do, Joon-Young Park, C. Lee, S. Hong
With the development of space technology, the missions of modern satellites are becoming more complicated. Therefore, it is essential to maintain a satellite’s attitude to perform specific missions successfully. Sending satellites into space is time-consuming and expensive, making their on-ground testing necessary and crucial. This paper proposes a hardware-in-the-loop simulation system to verify the satellite attitude control system. The hardware-in-the-loop simulation system is a low-cost solution for mimicking a gravity-free environment, allowing the satellite attitude control to perform as it will be in space.
{"title":"Design of a Nanosatellite Attitude Control Hardware-in-the-loop Simulation System","authors":"Yong-Seok Lee, Nguyen Xuan Mung, Truong-Dong Do, Joon-Young Park, C. Lee, S. Hong","doi":"10.1109/ICSSE58758.2023.10227144","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227144","url":null,"abstract":"With the development of space technology, the missions of modern satellites are becoming more complicated. Therefore, it is essential to maintain a satellite’s attitude to perform specific missions successfully. Sending satellites into space is time-consuming and expensive, making their on-ground testing necessary and crucial. This paper proposes a hardware-in-the-loop simulation system to verify the satellite attitude control system. The hardware-in-the-loop simulation system is a low-cost solution for mimicking a gravity-free environment, allowing the satellite attitude control to perform as it will be in space.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130003330","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227243
Sowmyanarayanan Murugan, Le Hoang Anh, Nguyen Huu Hung, P. V. Toan, Nguyen Vu Quynh, Tien-Loc Le
The purpose of this article is to design a bankruptcy prediction system by application of Function-Link Cerebellar Model Neural Network (FL-CMNN) as the classifier. FL-CMNN is designed by integrating a standard Cerebellar Model Articulation Controller (CMAC) based neural network with a Function-Link network (FLN) which is used to expand the input space of the neural network architecture. The Function-Link network augments the Cerebellar Model Neural Network by generalizing the architecture and broadening the diversity of its application. Additionally, the FLN provides good function approximation and therefore improving its performance for prediction and classification problems. The performance of the bankruptcy prediction models of the Function-Link Cerebellar Model Neural Network and the classic CMAC are compared using established variables to predict financial distress. The data was derived from financial information published in the Taiwan Economic Journal and the performance of the model is illustrated.
{"title":"Designing a Bankruptcy Prediction System using Function-Link Cerebellar Model Neural Network","authors":"Sowmyanarayanan Murugan, Le Hoang Anh, Nguyen Huu Hung, P. V. Toan, Nguyen Vu Quynh, Tien-Loc Le","doi":"10.1109/ICSSE58758.2023.10227243","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227243","url":null,"abstract":"The purpose of this article is to design a bankruptcy prediction system by application of Function-Link Cerebellar Model Neural Network (FL-CMNN) as the classifier. FL-CMNN is designed by integrating a standard Cerebellar Model Articulation Controller (CMAC) based neural network with a Function-Link network (FLN) which is used to expand the input space of the neural network architecture. The Function-Link network augments the Cerebellar Model Neural Network by generalizing the architecture and broadening the diversity of its application. Additionally, the FLN provides good function approximation and therefore improving its performance for prediction and classification problems. The performance of the bankruptcy prediction models of the Function-Link Cerebellar Model Neural Network and the classic CMAC are compared using established variables to predict financial distress. The data was derived from financial information published in the Taiwan Economic Journal and the performance of the model is illustrated.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130575862","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227146
Le Hoang Lam, Nguyen Hoang Truong, N. Huy, T. Q. Thanh, D. Tran
This study investigates a force control method for free abrasive polishing to achieve a shiny metal surface finish. Despite the potential of this technique, this method is not widely used in metal surface polishing due to challenges in controlling the force during movement. To address the force control issue, we proposed an approach that uses the feedback force value indirectly calculated through the current value of the AC driver and applies it in a closed-loop control system. The proposed method is evaluated experimentally by polishing different metal pieces with varying particle sizes and movement speeds. The experimental results demonstrate that the proposed force control method effectively maintains a constant force during the polishing process, which leads to an improved surface finish. They also show that decreasing particle size and movement speed can improve the surface finish, while the contact force has a limited effect. These findings contribute to a better understanding of the relationship between force, movement speed, and surface finish quality in metal polishing.
{"title":"The Metal Polishing System for Finishing Shiny Metal Surfaces by Free Abrasive Polishing","authors":"Le Hoang Lam, Nguyen Hoang Truong, N. Huy, T. Q. Thanh, D. Tran","doi":"10.1109/ICSSE58758.2023.10227146","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227146","url":null,"abstract":"This study investigates a force control method for free abrasive polishing to achieve a shiny metal surface finish. Despite the potential of this technique, this method is not widely used in metal surface polishing due to challenges in controlling the force during movement. To address the force control issue, we proposed an approach that uses the feedback force value indirectly calculated through the current value of the AC driver and applies it in a closed-loop control system. The proposed method is evaluated experimentally by polishing different metal pieces with varying particle sizes and movement speeds. The experimental results demonstrate that the proposed force control method effectively maintains a constant force during the polishing process, which leads to an improved surface finish. They also show that decreasing particle size and movement speed can improve the surface finish, while the contact force has a limited effect. These findings contribute to a better understanding of the relationship between force, movement speed, and surface finish quality in metal polishing.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128708968","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227247
Loc Nguyen-Van-Thanh, Tan Do-Duy
In this paper, we propose an improved Low-Density Parity-Check (LDPC) code design scheme based on the existing genetic optimization-based LDPC code design scheme proposed in [1]. In particular, we perform the removal of the girth-4 property of the parity check matrix (H-matrix) and utilize the min-sum decoding algorithm instead of the Belief Propagation (BP) algorithm in order to enhance the performance of the LDPC code. Furthermore, an (32,64) LDPC code is considered in this paper. Finally, we evaluate the block error rate (BLER) of the LDPC code over white Gaussian noise channels. By means of evaluation results using Matlab, we indicate that our proposed approach can achieve a gain of more than 11% in terms of BLER compared to the existing schemes without significantly increasing the complexity of the decoding scheme.
{"title":"Efficient Genetic Algorithm-based LDPC Code Design for IoT Applications","authors":"Loc Nguyen-Van-Thanh, Tan Do-Duy","doi":"10.1109/ICSSE58758.2023.10227247","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227247","url":null,"abstract":"In this paper, we propose an improved Low-Density Parity-Check (LDPC) code design scheme based on the existing genetic optimization-based LDPC code design scheme proposed in [1]. In particular, we perform the removal of the girth-4 property of the parity check matrix (H-matrix) and utilize the min-sum decoding algorithm instead of the Belief Propagation (BP) algorithm in order to enhance the performance of the LDPC code. Furthermore, an (32,64) LDPC code is considered in this paper. Finally, we evaluate the block error rate (BLER) of the LDPC code over white Gaussian noise channels. By means of evaluation results using Matlab, we indicate that our proposed approach can achieve a gain of more than 11% in terms of BLER compared to the existing schemes without significantly increasing the complexity of the decoding scheme.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133923846","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227245
T. Le, M. Hsieh, Phan-Thanh Nguyen, M. Nguyen
This paper proposes a novel approach to improve the traditional speed controller of the field-oriented control (FOC) strategy for permanent magnet synchronous motor (PMSM) drives. The performance and robustness of the speed controller for PMSM drives are limited when using the traditional proportional-integral (PI) method. The proposed approach is the terminal sliding mode high-order control (TSMHC), designed to ensure fast and accurate tracking for PMSM drives. The TSMHC approach integrates the advantages of terminal sliding mode (TSM) and high-order control law. TSM brings faster tracking with smaller steady-state errors, while high-order control law can reduce the reaching time between the initial system state and the sliding-mode surface with slight chattering. The stability of the TSMHC is evaluated using the Lyapunov stability theory. The simulation results validate the efficiency and superiority of the proposed TSMHC approach.
{"title":"Speed Control for Permanent Magnet Synchronous Motor Based on Terminal Sliding Mode High-order Control","authors":"T. Le, M. Hsieh, Phan-Thanh Nguyen, M. Nguyen","doi":"10.1109/ICSSE58758.2023.10227245","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227245","url":null,"abstract":"This paper proposes a novel approach to improve the traditional speed controller of the field-oriented control (FOC) strategy for permanent magnet synchronous motor (PMSM) drives. The performance and robustness of the speed controller for PMSM drives are limited when using the traditional proportional-integral (PI) method. The proposed approach is the terminal sliding mode high-order control (TSMHC), designed to ensure fast and accurate tracking for PMSM drives. The TSMHC approach integrates the advantages of terminal sliding mode (TSM) and high-order control law. TSM brings faster tracking with smaller steady-state errors, while high-order control law can reduce the reaching time between the initial system state and the sliding-mode surface with slight chattering. The stability of the TSMHC is evaluated using the Lyapunov stability theory. The simulation results validate the efficiency and superiority of the proposed TSMHC approach.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131236435","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227159
Hoa Le Viet, Toai Tran Hoang Cong, Tuan Trinh Nguyen Bao, Duy Tran Ngoc Bao, N. H. Tuong
Despite the growing interest in learning Vietnamese, pronunciation remains a significant challenge for many language learners. This study explores the use of deep learning techniques to automatically detect incorrect pronunciation in Vietnamese. Our approach utilizes a multi-task setup that incorporates an Audio Encoder and a Phoneme Recognizer, enabling the model to learn the alignment between phonemes and acoustic features. This alignment information is then employed by the Incorrect Pronunciation Detector to identify words with incorrect pronunciation. Notably, we propose a novel strategy for generating pronunciation features, which involves “manually” grouping phonemes of the same word, thereby facilitating the model’s learning process. To evaluate the effectiveness of the proposed method, we build a small non-native (L2) Vietnamese speech dataset for training and testing. Compared to the baseline model, our final result improves the accuracy by 5.2% and $F_{1}$ score by 21.14%.
{"title":"A Deep Learning-Based Strategy for Vietnamese Incorrect Pronunciation Detection","authors":"Hoa Le Viet, Toai Tran Hoang Cong, Tuan Trinh Nguyen Bao, Duy Tran Ngoc Bao, N. H. Tuong","doi":"10.1109/ICSSE58758.2023.10227159","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227159","url":null,"abstract":"Despite the growing interest in learning Vietnamese, pronunciation remains a significant challenge for many language learners. This study explores the use of deep learning techniques to automatically detect incorrect pronunciation in Vietnamese. Our approach utilizes a multi-task setup that incorporates an Audio Encoder and a Phoneme Recognizer, enabling the model to learn the alignment between phonemes and acoustic features. This alignment information is then employed by the Incorrect Pronunciation Detector to identify words with incorrect pronunciation. Notably, we propose a novel strategy for generating pronunciation features, which involves “manually” grouping phonemes of the same word, thereby facilitating the model’s learning process. To evaluate the effectiveness of the proposed method, we build a small non-native (L2) Vietnamese speech dataset for training and testing. Compared to the baseline model, our final result improves the accuracy by 5.2% and $F_{1}$ score by 21.14%.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134565535","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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