Pub Date : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989042
Trinh Nauven, Dong Tran, H. N. Tran, T. Nguyen
This paper proposes a unidirectional DC/DC converter architecture based on dual-bridge LLC (DBLLC) resonant converter for on-board charge (OBC) application. The LLC resonant converters are the preferred choice to select of DC/DC converter topology for OBC due to it provides many advantages such as high efficiency, high power density. The conventional LLC resonant converters work at fix duty cycle and variable frequency control. In this paper, a converter based on the dual-bridge LLC resonant converter operating at fixed frequency with the pulse width-modulated (PWM) control will be applied as an isolated stage in the OBC 7.4 kW to improve the power density and to reduce conduction losses. The advantage of operating at the resonant frequency is the switching losses are reduced since the soft-switching technique is achieved over the full load range. Furthermore, the detailed design procedure of a transformer is presented along with the transformer losses and also the switching losses analysis. The proposed topology is designed for 400 VDC input to 220-380VDC output conversion, operating at 100 kHz and in the range from 4.8 kW to 7.4kW. All theoretical analyses and the simulated results on the proposed converter are provided to verify the system performance.
{"title":"Theoretical Analysis and Designing a Dual-Bridge LLC Resonant Converter for On-Board Charger","authors":"Trinh Nauven, Dong Tran, H. N. Tran, T. Nguyen","doi":"10.1109/GTSD54989.2022.9989042","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989042","url":null,"abstract":"This paper proposes a unidirectional DC/DC converter architecture based on dual-bridge LLC (DBLLC) resonant converter for on-board charge (OBC) application. The LLC resonant converters are the preferred choice to select of DC/DC converter topology for OBC due to it provides many advantages such as high efficiency, high power density. The conventional LLC resonant converters work at fix duty cycle and variable frequency control. In this paper, a converter based on the dual-bridge LLC resonant converter operating at fixed frequency with the pulse width-modulated (PWM) control will be applied as an isolated stage in the OBC 7.4 kW to improve the power density and to reduce conduction losses. The advantage of operating at the resonant frequency is the switching losses are reduced since the soft-switching technique is achieved over the full load range. Furthermore, the detailed design procedure of a transformer is presented along with the transformer losses and also the switching losses analysis. The proposed topology is designed for 400 VDC input to 220-380VDC output conversion, operating at 100 kHz and in the range from 4.8 kW to 7.4kW. All theoretical analyses and the simulated results on the proposed converter are provided to verify the system performance.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121248271","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989116
P. Le, Thanh Son Nguyen, Nguyen Phuc An Loi
In recent years, the usage of solar energy has become one of the most popular immense renewable energy sources. It is a clean, environmentally friendly, and secure power source. Despite the availability of solar energy potential assessment since the early days of solar plant, the emergence of new proposals and the current debate on the development of an energy rating standard mean that this can still be considered as an open question. This paper presents an Analytic Hierarchy Process (AHP) model for selecting solar energy sites in Vietnam. Currently, the proposed factors affecting the decision to select the potential location of the solar power plant have not been unified, and this is still considered an open question for consultants and regulators. In this study, using AHP to determine the weight of factor to select solar energy site including Society, Technology, Environment, Economy and Policy in Vietnam. From the results, in the 5 factors of level 1 the technical factor has the largest weight, followed by the factors of Environment, Economy, and Society and finally is the Policy factor. The study also identified three key criteria affecting the decision to select the potential location of a solar power plant: Solar radiation intensity, Investment costs for internal infrastructure and the impact on the regional landscape. Furthermore, the results of this study will be the reference for further studies being able to elaborate on planning and supplementing of electricity development planning or appraising the plan to select the location of building a solar power plant.
{"title":"Solar Energy Potential Assessment: Analytic Hierarchy Process Model for Selecting Solar Energy Sites in Vietnam","authors":"P. Le, Thanh Son Nguyen, Nguyen Phuc An Loi","doi":"10.1109/GTSD54989.2022.9989116","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989116","url":null,"abstract":"In recent years, the usage of solar energy has become one of the most popular immense renewable energy sources. It is a clean, environmentally friendly, and secure power source. Despite the availability of solar energy potential assessment since the early days of solar plant, the emergence of new proposals and the current debate on the development of an energy rating standard mean that this can still be considered as an open question. This paper presents an Analytic Hierarchy Process (AHP) model for selecting solar energy sites in Vietnam. Currently, the proposed factors affecting the decision to select the potential location of the solar power plant have not been unified, and this is still considered an open question for consultants and regulators. In this study, using AHP to determine the weight of factor to select solar energy site including Society, Technology, Environment, Economy and Policy in Vietnam. From the results, in the 5 factors of level 1 the technical factor has the largest weight, followed by the factors of Environment, Economy, and Society and finally is the Policy factor. The study also identified three key criteria affecting the decision to select the potential location of a solar power plant: Solar radiation intensity, Investment costs for internal infrastructure and the impact on the regional landscape. Furthermore, the results of this study will be the reference for further studies being able to elaborate on planning and supplementing of electricity development planning or appraising the plan to select the location of building a solar power plant.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125071395","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989158
Nguyen Tan Hung, Hồ Anh Khoa, Tran Van Thuan, Do Duc Tri
This paper presents a method of speed control for asynchronous motors fed by a Three-level quasi-Z Source T-Type Inverter (3L-qZST2I). Field Oriented Control (FOC) strategy transforms the current coordinate on the stator and the motor shaft speed to generate reference voltage signals for space vector modulation (SVM). The flux and torque of the motor are provided by direct current (id) and quadrature current (iq). The PI controller is used to control the reference speed and torque by adjusting the shoot-through ratio, the impedance source provides higher DC-link voltage to the inverter with constant input current thereby giving better AC voltage efficiency. Furthermore, the THD generated in 3L-qZST2I is reduced compared to the traditional algorithm. The results of the analysis and simulations will be presented to demonstrate the accuracy of this strategy.
{"title":"Field Oriented Control of 3-Phase Asynchronous Motors by Three-Level Quasi Z Source T-Type Inverter","authors":"Nguyen Tan Hung, Hồ Anh Khoa, Tran Van Thuan, Do Duc Tri","doi":"10.1109/GTSD54989.2022.9989158","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989158","url":null,"abstract":"This paper presents a method of speed control for asynchronous motors fed by a Three-level quasi-Z Source T-Type Inverter (3L-qZST2I). Field Oriented Control (FOC) strategy transforms the current coordinate on the stator and the motor shaft speed to generate reference voltage signals for space vector modulation (SVM). The flux and torque of the motor are provided by direct current (id) and quadrature current (iq). The PI controller is used to control the reference speed and torque by adjusting the shoot-through ratio, the impedance source provides higher DC-link voltage to the inverter with constant input current thereby giving better AC voltage efficiency. Furthermore, the THD generated in 3L-qZST2I is reduced compared to the traditional algorithm. The results of the analysis and simulations will be presented to demonstrate the accuracy of this strategy.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125506163","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989138
H. Do, H. Huynh, Thanh-Ngan Dang, Ngoc-Tam-Dan Lam, Lam-Nguyen Phan, Thanh-Tan Vo
We report an efficient and cheap method used to purify/desalinate water by combining porous paper, carbon black powder, and polystyrene foam. The properties of paper dyed with carbon black are then characterized by UV-VIS, SEM, and infrared camera analysis. The evaporation rate of 0.7 kg/m2.h was obtained when the system operated for 4 hours in the outdoor environment on sunny-cloudy days in Ho Chi Minh City and Ninh Thuan Provinces, Vietnam. The thermal insulation of polystyrene foam prevents the radiative adsorption of the bulk water and lessens the heat loss due to convection, increasing thermal efficiency. The system operates without a power supply and facilitates utilizing cheap and environmentally friendly materials, lessening the burden of a shortage of water in the rural areas.
{"title":"Solar Vapor Generation System Operating without Power Supply","authors":"H. Do, H. Huynh, Thanh-Ngan Dang, Ngoc-Tam-Dan Lam, Lam-Nguyen Phan, Thanh-Tan Vo","doi":"10.1109/GTSD54989.2022.9989138","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989138","url":null,"abstract":"We report an efficient and cheap method used to purify/desalinate water by combining porous paper, carbon black powder, and polystyrene foam. The properties of paper dyed with carbon black are then characterized by UV-VIS, SEM, and infrared camera analysis. The evaporation rate of 0.7 kg/m2.h was obtained when the system operated for 4 hours in the outdoor environment on sunny-cloudy days in Ho Chi Minh City and Ninh Thuan Provinces, Vietnam. The thermal insulation of polystyrene foam prevents the radiative adsorption of the bulk water and lessens the heat loss due to convection, increasing thermal efficiency. The system operates without a power supply and facilitates utilizing cheap and environmentally friendly materials, lessening the burden of a shortage of water in the rural areas.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"8 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128986277","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9988761
Nguyen Thi Hoai Thu, Phạm Năng Văn, P. Bảo, Nguyen Vu Nhat Nam, Pham Quang Nhat Minh, T. Quang
Nowadays, renewable energy gradually become indispensable sources all over the world such as solar energy, wind energy, tidal energy, etc. In terms of solar energy, solar radiation fluctuates and depends on various other factors. Therefore, short-term forecasting of solar radiation plays a consistently important role in many fields of solar energy applications, especially in generating electricity. In this paper, we proposed a Convolutional Neural Network - Long-Short Term Memory (CNN-LSTM) network integrated with the Ensemble Empirical Mode Decomposition (EEMD) method to make a short-term forecast of solar irradiation in Vietnam. Firstly, we used EEMD method to separate the original irradiation series into intrinsic mode functions (IMFs). Secondly, each IMFs were fed into a predictive model that combined CNN and LSTM network and then composed into final forecasting of the solar irradiation. Finally, the results were compared with that of other methods such as the single model of CNN, LSTM and Bi-directional-LSTM to find out the benefits. The comparison illustrated that the performance of the proposed model was better than the others, namely the n-RMSE was 0.098 while that of LSTM, Bi-LSTM and CNN was 0.187, 0.169 and 0.177, respectively.
{"title":"Short-term Forecasting of Solar Radiation Using a Hybrid Model of CNN-LSTM Integrated with EEMD","authors":"Nguyen Thi Hoai Thu, Phạm Năng Văn, P. Bảo, Nguyen Vu Nhat Nam, Pham Quang Nhat Minh, T. Quang","doi":"10.1109/GTSD54989.2022.9988761","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9988761","url":null,"abstract":"Nowadays, renewable energy gradually become indispensable sources all over the world such as solar energy, wind energy, tidal energy, etc. In terms of solar energy, solar radiation fluctuates and depends on various other factors. Therefore, short-term forecasting of solar radiation plays a consistently important role in many fields of solar energy applications, especially in generating electricity. In this paper, we proposed a Convolutional Neural Network - Long-Short Term Memory (CNN-LSTM) network integrated with the Ensemble Empirical Mode Decomposition (EEMD) method to make a short-term forecast of solar irradiation in Vietnam. Firstly, we used EEMD method to separate the original irradiation series into intrinsic mode functions (IMFs). Secondly, each IMFs were fed into a predictive model that combined CNN and LSTM network and then composed into final forecasting of the solar irradiation. Finally, the results were compared with that of other methods such as the single model of CNN, LSTM and Bi-directional-LSTM to find out the benefits. The comparison illustrated that the performance of the proposed model was better than the others, namely the n-RMSE was 0.098 while that of LSTM, Bi-LSTM and CNN was 0.187, 0.169 and 0.177, respectively.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130501029","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989062
D. C. Huynh, H. Pham, Loc D. Ho, M. Dunnigan, Corina Barbalata
This paper proposes a configuration optimization technique for a remote microgrid considering renewable energy systems based on an improved artificial bee colony (IABC) algorithm. Typically, diesel generators are used to supply load demands to remote areas. This does not bring economic and environmental benefits in the context of fossil fuel resources being gradually depleted and environmental pollution problems increasing. The configuration optimization of the remote microgrid is based on a minimization of the cost of energy (COE) of the system. The considered renewable energy system includes wind turbine (WT) systems and solar photovoltaic (PV) systems. The obtained optimization results with the IABC algorithm are compared to those by using an artificial bee colony (ABC) algorithm, a genetic algorithm (GA), and a particle swarm optimization (PSO) algorithm. The comparisons confirm the effectiveness of the proposal.
{"title":"An Improved Artificial Bee Colony Algorithm-based Configuration Optimization of a Remote Microgrid Considering Renewable Energy Systems","authors":"D. C. Huynh, H. Pham, Loc D. Ho, M. Dunnigan, Corina Barbalata","doi":"10.1109/GTSD54989.2022.9989062","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989062","url":null,"abstract":"This paper proposes a configuration optimization technique for a remote microgrid considering renewable energy systems based on an improved artificial bee colony (IABC) algorithm. Typically, diesel generators are used to supply load demands to remote areas. This does not bring economic and environmental benefits in the context of fossil fuel resources being gradually depleted and environmental pollution problems increasing. The configuration optimization of the remote microgrid is based on a minimization of the cost of energy (COE) of the system. The considered renewable energy system includes wind turbine (WT) systems and solar photovoltaic (PV) systems. The obtained optimization results with the IABC algorithm are compared to those by using an artificial bee colony (ABC) algorithm, a genetic algorithm (GA), and a particle swarm optimization (PSO) algorithm. The comparisons confirm the effectiveness of the proposal.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178133","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989030
Thanh-Danh Phan, Tan-Thien-Nien Nguyen, Minh-Thien Duong, Chi-Tam Nguyen, Hoang-Anh Le, M. Le
Steering strategy is an essential task for self-driving automobile systems. However, studies on this problem have not yet achieved satisfactory results and typically cause navigation tasks to be difficult. Therefore, this paper proposes a novel steering strategy based on the lane-line detection model. First and foremost, the row-based selecting strategy and CNN-based extraction were adopted to anticipate lane-line markers from the images captured from a front-view monocular camera. Next, the lane-line detection model output is utilized to estimate the next destination for the self-driving automobile, and then we converted the model to TensorRT pattern with Float16 format. Depending on the result of the lane-line detection model, we designed a strategy to control the steering wheel through a DC Servo motor. Last but not least, the whole algorithm is deployed on the golf cart to perform navigation tasks. The experimental result proves that our model achieves approximately 50 frames per second (50 fps) on our laptop with GTX 1650 graphic card during the testing stage and can work with satisfactory performance on the HCMUTE campus.
{"title":"A Steering Strategy for Self-Driving Automobile Systems Based on Lane-Line Detection","authors":"Thanh-Danh Phan, Tan-Thien-Nien Nguyen, Minh-Thien Duong, Chi-Tam Nguyen, Hoang-Anh Le, M. Le","doi":"10.1109/GTSD54989.2022.9989030","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989030","url":null,"abstract":"Steering strategy is an essential task for self-driving automobile systems. However, studies on this problem have not yet achieved satisfactory results and typically cause navigation tasks to be difficult. Therefore, this paper proposes a novel steering strategy based on the lane-line detection model. First and foremost, the row-based selecting strategy and CNN-based extraction were adopted to anticipate lane-line markers from the images captured from a front-view monocular camera. Next, the lane-line detection model output is utilized to estimate the next destination for the self-driving automobile, and then we converted the model to TensorRT pattern with Float16 format. Depending on the result of the lane-line detection model, we designed a strategy to control the steering wheel through a DC Servo motor. Last but not least, the whole algorithm is deployed on the golf cart to perform navigation tasks. The experimental result proves that our model achieves approximately 50 frames per second (50 fps) on our laptop with GTX 1650 graphic card during the testing stage and can work with satisfactory performance on the HCMUTE campus.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114688516","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989153
N. Khoa, Trinh Dac Phong, Nguyen Thanh Vinh, N. Kien
This paper presents a study the effect of coil turn numbers on the magnetic and effective magnetic energy of a solenoid injector. To achieve this goal, a magnetic injector simulation model is setup based on the Maxwell software. From this simulation software, the researchers are able to investigate the effect of input parameters on the solenoid injector magnetic and effective magnetic energy. Those input parameters are: coil turn numbers, coil cross section area, input current and input voltage. In scope of this research, the effect of coil turn numbers on the injector performance will be completely discussed. The results of the research show that: the coil turn numbers have sensitive effect on solenoid injector magnetic and effective magnetic energy. When the coil turn numbers increase form 40 turn to 80 turn, the injector magnetic increases form 0.167 T t 0.33 T, improved 100%. The injector effective magnetic energy increases form 4.86 KJ/m3 to 19.6 KJ/m3, improved 300%.
{"title":"Study the Effect of Coil Turn Numbers on the Effective Magnetic Energy of a Solenoid Injector","authors":"N. Khoa, Trinh Dac Phong, Nguyen Thanh Vinh, N. Kien","doi":"10.1109/GTSD54989.2022.9989153","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989153","url":null,"abstract":"This paper presents a study the effect of coil turn numbers on the magnetic and effective magnetic energy of a solenoid injector. To achieve this goal, a magnetic injector simulation model is setup based on the Maxwell software. From this simulation software, the researchers are able to investigate the effect of input parameters on the solenoid injector magnetic and effective magnetic energy. Those input parameters are: coil turn numbers, coil cross section area, input current and input voltage. In scope of this research, the effect of coil turn numbers on the injector performance will be completely discussed. The results of the research show that: the coil turn numbers have sensitive effect on solenoid injector magnetic and effective magnetic energy. When the coil turn numbers increase form 40 turn to 80 turn, the injector magnetic increases form 0.167 T t 0.33 T, improved 100%. The injector effective magnetic energy increases form 4.86 KJ/m3 to 19.6 KJ/m3, improved 300%.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126321581","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989321
Quang-Sang Le, V. Pham, Bich-Lan Phung
Remotely monitoring and controlling power substations are popular nowadays. For such systems, it is essential to continuously keep track of devices' conditions. This paper presents a vision-based method for recognizing states, open and closed, of 220kV disconnect switches in power substations. Images of size 512×512 were collected at a 220kV power substation for training and test whereas the EfficientDet model D0 was utilized for transfer learning. Experiment results show that the model can accurately recognize states of 220kV disconnect switches with mAP of 99.74%.
{"title":"Vision Based State Recognition of 220kv Disconnect Switches in Power Substations","authors":"Quang-Sang Le, V. Pham, Bich-Lan Phung","doi":"10.1109/GTSD54989.2022.9989321","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989321","url":null,"abstract":"Remotely monitoring and controlling power substations are popular nowadays. For such systems, it is essential to continuously keep track of devices' conditions. This paper presents a vision-based method for recognizing states, open and closed, of 220kV disconnect switches in power substations. Images of size 512×512 were collected at a 220kV power substation for training and test whereas the EfficientDet model D0 was utilized for transfer learning. Experiment results show that the model can accurately recognize states of 220kV disconnect switches with mAP of 99.74%.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132856942","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}
Visual and auditory stimulus modalities have been used widely in designing EEG experimental protocols. The influence of the visual and auditory stimulus modalities on the efficiency of signal classifiers is yet to be thoroughly assessed and documented in the context of motor movement prediction using EEG signals. Therefore, finding a suitable choice of stimulus modality in designing EEG experiments could improve the expected outcome of the research. In this paper, we aim to investigate the effect of two stimulus modalities, vision and sound, based on EEG signal features of different motor execution for finding the better stimulus modalities. We collected EEG data on 11 subjects qualified for inspection, giving over 2,750 motor execution samples per experiment. The subjects participated in 2 experimental protocols, which were built for explicitly performing the flexion and extension of the left and right elbow simultaneously. Two features in the temporal domain were computed, and a fast Fourier transform algorithm was applied to produce time-frequency domain scalograms for comparison between left and right elbow movements from visual and audio stimulated experiments. Our research showed high feasibility of classifying motor movements based on 2 time-domain features: the entropy and upper quartile, and the Fourier time-frequency domain scalogram in the power region between 4–16 Hz. In the time-frequency domain, the density of high power region spectra with visual stimuli is greater than that of auditory stimuli.
{"title":"Evaluation Between Visual And Auditory EEG Responses On Upper Limb Movement in The Temporal and Spectral Domains","authors":"Dang-Khoa Tran, Thanh-Hai Nguyen, Ba-Viet Ngo, Minh-Ly Lai, Thi-My-Kieu Ong, Thi-Minh Vu, Van-Minh Nguyen","doi":"10.1109/GTSD54989.2022.9989065","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989065","url":null,"abstract":"Visual and auditory stimulus modalities have been used widely in designing EEG experimental protocols. The influence of the visual and auditory stimulus modalities on the efficiency of signal classifiers is yet to be thoroughly assessed and documented in the context of motor movement prediction using EEG signals. Therefore, finding a suitable choice of stimulus modality in designing EEG experiments could improve the expected outcome of the research. In this paper, we aim to investigate the effect of two stimulus modalities, vision and sound, based on EEG signal features of different motor execution for finding the better stimulus modalities. We collected EEG data on 11 subjects qualified for inspection, giving over 2,750 motor execution samples per experiment. The subjects participated in 2 experimental protocols, which were built for explicitly performing the flexion and extension of the left and right elbow simultaneously. Two features in the temporal domain were computed, and a fast Fourier transform algorithm was applied to produce time-frequency domain scalograms for comparison between left and right elbow movements from visual and audio stimulated experiments. Our research showed high feasibility of classifying motor movements based on 2 time-domain features: the entropy and upper quartile, and the Fourier time-frequency domain scalogram in the power region between 4–16 Hz. In the time-frequency domain, the density of high power region spectra with visual stimuli is greater than that of auditory stimuli.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132759333","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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