Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9481967
Shiyu Wang, Lihua Li, Tianhui Fu, S. Feng, Yongbin Wang
Based on Maxwell equations, the propagation characteristics of electromagnetic waves across the three layers of the air-water-film-towed cable propagation medium were analyzed, the effect of the antenna's proximity to the medium was proved, and the influence of the seawater film attached to the outside of the towed cable on the reception performance of the towed antenna was obtained, and the FEKO electromagnetic simulation software was used for example verification.
{"title":"Study on the propagation characteristics of the electromagnetic wave across water film on the surface of the towed antenna","authors":"Shiyu Wang, Lihua Li, Tianhui Fu, S. Feng, Yongbin Wang","doi":"10.1109/IMCEC51613.2021.9481967","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9481967","url":null,"abstract":"Based on Maxwell equations, the propagation characteristics of electromagnetic waves across the three layers of the air-water-film-towed cable propagation medium were analyzed, the effect of the antenna's proximity to the medium was proved, and the influence of the seawater film attached to the outside of the towed cable on the reception performance of the towed antenna was obtained, and the FEKO electromagnetic simulation software was used for example verification.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121947539","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482229
Yunwei Pu, Jiang Guo, Taotao Liu, Haixiao Wu
Aiming at many problems of complex radar emitter signal recognition methods, like poor anti-noise performance and low recognition rate. In this paper, a new recognition method based on contour lines of ambiguity function and stacked denoising auto-encoders is proposed. First, an ambiguity function is processed by the Gaussian smoothing and calculate contour lines by linear interpolation. Then, principal component analysis is used to reduce its feature dimension, retain the main ambiguity energy information. Finally, deep learning stacked denoising auto-encoders are built to learn and extract the deep and more ubiquitous features of contour lines, and classify them through the Softmax classifier. The simulated experiments show that the overall average recognition rate of the six typical radar signals is maintained above 99.83% when the signal-noise ratio is 0dB. Even in the -6dB environment, it also can reach 83.67%, which proves this method has good performance and feasibility under the extremely low signal-noise ratio conditions.
{"title":"Radar Emitter Signal Recognition based on Contour Lines of Ambiguity Function and Stacked Denoising Auto-encoders","authors":"Yunwei Pu, Jiang Guo, Taotao Liu, Haixiao Wu","doi":"10.1109/IMCEC51613.2021.9482229","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482229","url":null,"abstract":"Aiming at many problems of complex radar emitter signal recognition methods, like poor anti-noise performance and low recognition rate. In this paper, a new recognition method based on contour lines of ambiguity function and stacked denoising auto-encoders is proposed. First, an ambiguity function is processed by the Gaussian smoothing and calculate contour lines by linear interpolation. Then, principal component analysis is used to reduce its feature dimension, retain the main ambiguity energy information. Finally, deep learning stacked denoising auto-encoders are built to learn and extract the deep and more ubiquitous features of contour lines, and classify them through the Softmax classifier. The simulated experiments show that the overall average recognition rate of the six typical radar signals is maintained above 99.83% when the signal-noise ratio is 0dB. Even in the -6dB environment, it also can reach 83.67%, which proves this method has good performance and feasibility under the extremely low signal-noise ratio conditions.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122181769","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482389
Xia Keqiang, Xing Meng, Fu Na, Wei Jun, Liang Jixin, Yang Yongan, Li Ganhua
According to the characteristics of target motion and composite guidance, this paper establishes the state motion equation, designs the global state feedback model based on Kalman filter method and proposes an improved track fusion estimation method of the moving target on the sea by introducing the scalar weighting optimal state fusion. The method avoids the matrix inverse operation, so it significantly reduces the computational amount and effectively improves the timeliness in multi-mode composite guidance engineering. Simulation results of active and passive radar composite guidance show that this method can effectively reduce the computation amount and meet the time limitation requirement of composite guidance under conditions of ensuring the precision of track estimation.
{"title":"An Improved Global State Fusion Filter for Track Estimation","authors":"Xia Keqiang, Xing Meng, Fu Na, Wei Jun, Liang Jixin, Yang Yongan, Li Ganhua","doi":"10.1109/IMCEC51613.2021.9482389","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482389","url":null,"abstract":"According to the characteristics of target motion and composite guidance, this paper establishes the state motion equation, designs the global state feedback model based on Kalman filter method and proposes an improved track fusion estimation method of the moving target on the sea by introducing the scalar weighting optimal state fusion. The method avoids the matrix inverse operation, so it significantly reduces the computational amount and effectively improves the timeliness in multi-mode composite guidance engineering. Simulation results of active and passive radar composite guidance show that this method can effectively reduce the computation amount and meet the time limitation requirement of composite guidance under conditions of ensuring the precision of track estimation.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"136 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120861896","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9481994
Xiaomeng Wu, Tao Zhang
Without discriminating the nature of faults, the traditional three-phase reclosing performs after set time, so the failure of reclosing will result in a secondary impact on the system. In order to avoid the damage of secondary impact caused by reclosing onto a permanent fault and increase the successful rate of reclosing, the application of adaptive reclosing technology for transmission lines has been relatively common, and the development of adaptive reclosing technology for distribution lines has been relatively slow. The adaptive reclosing technology of distribution network based on signal injection is studied in this paper. Compared with the fault nature identification method based on the electrical characteristics of the fault itself, the scheme of adaptive reclosing technology based on additional injection of trial signal in the primary system has the advantage of not being limited by the structure and parameter characteristics of the distribution line itself, which can fundamentally overcome the difficulties faced by the fault property identification method based on the electrical characteristics or arc characteristics of the line fault recovery stage.
{"title":"Research on Adaptive Reclosing of Distribution Network based on Signal Injection","authors":"Xiaomeng Wu, Tao Zhang","doi":"10.1109/IMCEC51613.2021.9481994","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9481994","url":null,"abstract":"Without discriminating the nature of faults, the traditional three-phase reclosing performs after set time, so the failure of reclosing will result in a secondary impact on the system. In order to avoid the damage of secondary impact caused by reclosing onto a permanent fault and increase the successful rate of reclosing, the application of adaptive reclosing technology for transmission lines has been relatively common, and the development of adaptive reclosing technology for distribution lines has been relatively slow. The adaptive reclosing technology of distribution network based on signal injection is studied in this paper. Compared with the fault nature identification method based on the electrical characteristics of the fault itself, the scheme of adaptive reclosing technology based on additional injection of trial signal in the primary system has the advantage of not being limited by the structure and parameter characteristics of the distribution line itself, which can fundamentally overcome the difficulties faced by the fault property identification method based on the electrical characteristics or arc characteristics of the line fault recovery stage.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"109 9-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120890484","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482076
Fengling Wang, J. Su
Target detection is one of the core problems in the field of machine vision. However, the different appearance, shape, and size of objects and the influence of interference factors such as illumination and occlusion during the imaging process pose a considerable challenge to the task of target detection. This article introduces YOLOV3 network structure and related research, proposes a small target detection algorithm based on improved YOLOV3, describes the flow of YOLOV3 model to achieve small target detection algorithm, analyzes the experiment and results, and summarizes the problems in the implementation process and shortcomings, provide a reference for the continuous improvement of small target detection in the future.
{"title":"Based on the improved YOLOV3 small target detection algorithm","authors":"Fengling Wang, J. Su","doi":"10.1109/IMCEC51613.2021.9482076","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482076","url":null,"abstract":"Target detection is one of the core problems in the field of machine vision. However, the different appearance, shape, and size of objects and the influence of interference factors such as illumination and occlusion during the imaging process pose a considerable challenge to the task of target detection. This article introduces YOLOV3 network structure and related research, proposes a small target detection algorithm based on improved YOLOV3, describes the flow of YOLOV3 model to achieve small target detection algorithm, analyzes the experiment and results, and summarizes the problems in the implementation process and shortcomings, provide a reference for the continuous improvement of small target detection in the future.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121257570","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482284
Tianhe Lu, Li Liu
Road-network plays an important role in urban environment, so the reconnaissance along it should be attached much attention. However, the complexity of the road-network brings a lot of difficulties. In this paper, considering the constraints of road-network adjacent relationship and turn radius of fixed-wing UAV, we defined the problem model, including the road-network model with the description for different kinds of nodes. For road-network traversal problem, this paper proposed a method using improved depth-first search with angle constraint (DFS-AC) and genetic algorithm with double chromosome. The simulation results show that this method is able to solve road-network traversal problem both with and without infeasible nodes, at which fixed-wing UAV has no road to fly along.
{"title":"Research on Road-Network Traversal of Fixed-Wing Multi-UAV in Urban Environment","authors":"Tianhe Lu, Li Liu","doi":"10.1109/IMCEC51613.2021.9482284","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482284","url":null,"abstract":"Road-network plays an important role in urban environment, so the reconnaissance along it should be attached much attention. However, the complexity of the road-network brings a lot of difficulties. In this paper, considering the constraints of road-network adjacent relationship and turn radius of fixed-wing UAV, we defined the problem model, including the road-network model with the description for different kinds of nodes. For road-network traversal problem, this paper proposed a method using improved depth-first search with angle constraint (DFS-AC) and genetic algorithm with double chromosome. The simulation results show that this method is able to solve road-network traversal problem both with and without infeasible nodes, at which fixed-wing UAV has no road to fly along.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116342100","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482056
Mengze Yuan, Yu Zhang, Yuanchen Hao
Advantages in multi-path forwarding, in-network caching, as well as information centric architecture, have made Named Data Networking (NDN) a great supporter for mobile scenarios, where rapid link changes need to be propagated timely to other nodes to maintain a consistent view of the topology. How to reduce routing overhead and keep convergence time within an acceptable range have become an urgent issue. In this paper, we propose routing update acquisition delay based on the location of topology change. Node centrality is used to set different timers for fetching Link State Advertisement (LSA), so as to reduce large overhead caused by simultaneously broadcasting LSA Interest. Simulation shows that routing overhead reduction is more obvious when link changes rapidly. At the same time, since the delayed LSA Interest can return data directly from in-network cache, convergence time is also kept within a small range.
{"title":"An On-demand Routing Update Acquisition in Named-data Link State Routing Protocol","authors":"Mengze Yuan, Yu Zhang, Yuanchen Hao","doi":"10.1109/IMCEC51613.2021.9482056","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482056","url":null,"abstract":"Advantages in multi-path forwarding, in-network caching, as well as information centric architecture, have made Named Data Networking (NDN) a great supporter for mobile scenarios, where rapid link changes need to be propagated timely to other nodes to maintain a consistent view of the topology. How to reduce routing overhead and keep convergence time within an acceptable range have become an urgent issue. In this paper, we propose routing update acquisition delay based on the location of topology change. Node centrality is used to set different timers for fetching Link State Advertisement (LSA), so as to reduce large overhead caused by simultaneously broadcasting LSA Interest. Simulation shows that routing overhead reduction is more obvious when link changes rapidly. At the same time, since the delayed LSA Interest can return data directly from in-network cache, convergence time is also kept within a small range.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123791106","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482354
Jinwen Wu, Hai-Hong Jin, Shujuan Yu, Yun Zhang
Aiming at solving the problems that the CHNN-RIHM (Complex-valued Hopfield Neural Network Real-Imaginary-type Hard-Multistate-activation-function) is easy to get into a local optimization and requires a large amount of data, we propose to use Signal Blind Detection Algorithm Based on MC-CHNN (Multi-Clustering Complex-valued Hopfield Neural Network), construct a new energy function and prove the stability of MC-CHNN. The optimization scheme of MC-CHNN is as follows: we use a piecewise annealing function to improve the convergence speed of blind detection. To further reduce the complexity of the MC-CHNN algorithm and improve the sensitivity of MC-CHNN, we propose to apply a new activation function called the multi-clustering function to MC-CHNN and replace the activation function of CHNN-RIHM with multi-clustering function when dealing with discrete multilevel signals. The simulation results show that the MC-CHNN has a faster convergence speed, stronger anti-noise capability, and can be better applied to low SNR than its competitors.
{"title":"A Novel Blind Detection Algorithm Based on Multi-Clustering Complex Neural Network","authors":"Jinwen Wu, Hai-Hong Jin, Shujuan Yu, Yun Zhang","doi":"10.1109/IMCEC51613.2021.9482354","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482354","url":null,"abstract":"Aiming at solving the problems that the CHNN-RIHM (Complex-valued Hopfield Neural Network Real-Imaginary-type Hard-Multistate-activation-function) is easy to get into a local optimization and requires a large amount of data, we propose to use Signal Blind Detection Algorithm Based on MC-CHNN (Multi-Clustering Complex-valued Hopfield Neural Network), construct a new energy function and prove the stability of MC-CHNN. The optimization scheme of MC-CHNN is as follows: we use a piecewise annealing function to improve the convergence speed of blind detection. To further reduce the complexity of the MC-CHNN algorithm and improve the sensitivity of MC-CHNN, we propose to apply a new activation function called the multi-clustering function to MC-CHNN and replace the activation function of CHNN-RIHM with multi-clustering function when dealing with discrete multilevel signals. The simulation results show that the MC-CHNN has a faster convergence speed, stronger anti-noise capability, and can be better applied to low SNR than its competitors.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124026835","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482131
Y. Ni, Dingguo Shao
PMSM sensorless control performance is largely affected by the accuracy of rotor position estimation. In this paper, MRAS method is used in the PMSM sensorless control, the position estimation of traditional MRAS sensorless method is sensitive to parameter variation during the operation of PMSM. To solve the problem, simulation has been done at first to study the parameter sensitivity of traditional MRAS. Base on the simulation results that variations in inductance and flux linkage have a greater impact on MRAS position estimation, an improved MRAS sensorless method is proposed in this paper. The MRAS adjustable model is updated by the FFRLS parameter identification results in each control cycle. The simulation results show that the improved MRAS position estimator can effectively reduce the influence of parameter variation on rotor position estimation.
{"title":"Research of Improved MRAS Based Sensorless Control of Permanent Magnet Synchronous Motor Considering Parameter Sensitivity","authors":"Y. Ni, Dingguo Shao","doi":"10.1109/IMCEC51613.2021.9482131","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482131","url":null,"abstract":"PMSM sensorless control performance is largely affected by the accuracy of rotor position estimation. In this paper, MRAS method is used in the PMSM sensorless control, the position estimation of traditional MRAS sensorless method is sensitive to parameter variation during the operation of PMSM. To solve the problem, simulation has been done at first to study the parameter sensitivity of traditional MRAS. Base on the simulation results that variations in inductance and flux linkage have a greater impact on MRAS position estimation, an improved MRAS sensorless method is proposed in this paper. The MRAS adjustable model is updated by the FFRLS parameter identification results in each control cycle. The simulation results show that the improved MRAS position estimator can effectively reduce the influence of parameter variation on rotor position estimation.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124046300","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 : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482318
Xueli Zhou, Yuke Tian, Jie Shi, N. Zhao, Yu Yang
With the continuous development of integrated circuit technology and digital processing technology, this article designed a portable low-power multifunction digital oscilloscope based on STM32F407ZGT6. The input signal can be processed through the signal conditioning circuit, and the ADC module carried by the main control chip STM32 is used to collect external signals, using a 3.5-inch TFT-LCD to display the processed signal waveform. The added touch screen makes the operation more convenient. The software ported the UCOS-II embedded operating system and the graphical support system UCGUI in embedded applications to form a complete real-time operating system. After actual testing, the oscilloscope has the characteristics of high real-time performance, low power consumption, stable and practical performance. And it has strong practical value and promotion value.
{"title":"Design of Low-power Portable Multi-function Digital Oscilloscope","authors":"Xueli Zhou, Yuke Tian, Jie Shi, N. Zhao, Yu Yang","doi":"10.1109/IMCEC51613.2021.9482318","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482318","url":null,"abstract":"With the continuous development of integrated circuit technology and digital processing technology, this article designed a portable low-power multifunction digital oscilloscope based on STM32F407ZGT6. The input signal can be processed through the signal conditioning circuit, and the ADC module carried by the main control chip STM32 is used to collect external signals, using a 3.5-inch TFT-LCD to display the processed signal waveform. The added touch screen makes the operation more convenient. The software ported the UCOS-II embedded operating system and the graphical support system UCGUI in embedded applications to form a complete real-time operating system. After actual testing, the oscilloscope has the characteristics of high real-time performance, low power consumption, stable and practical performance. And it has strong practical value and promotion value.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124058369","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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