Pub Date : 2021-06-18DOI: 10.1109/IMCEC51613.2021.9482270
Xiaohan Sun, YunChang Cheng, Xiaojie Qu, Hang Li
In recent years, a variety of information security incidents emerge in endlessly, with different types. Security vulnerability is an important factor leading to the security risk of information system, and is the most common and urgent security risk in information system. The research goal of this paper is to seamlessly integrate the security testing process and the integration process of software construction, deployment, operation and maintenance. Through the management platform, the security testing results are uniformly managed and displayed in reports, and the project management system is introduced to develop, regress and manage the closed-loop security vulnerabilities. Before the security vulnerabilities cause irreparable damage to the information system, the security vulnerabilities are found and analyzed Full vulnerability, the formation of security vulnerability solutions to minimize the threat of security vulnerabilities to the information system.
{"title":"Design and Implementation of Security Test Pipeline based on DevSecOps","authors":"Xiaohan Sun, YunChang Cheng, Xiaojie Qu, Hang Li","doi":"10.1109/IMCEC51613.2021.9482270","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482270","url":null,"abstract":"In recent years, a variety of information security incidents emerge in endlessly, with different types. Security vulnerability is an important factor leading to the security risk of information system, and is the most common and urgent security risk in information system. The research goal of this paper is to seamlessly integrate the security testing process and the integration process of software construction, deployment, operation and maintenance. Through the management platform, the security testing results are uniformly managed and displayed in reports, and the project management system is introduced to develop, regress and manage the closed-loop security vulnerabilities. Before the security vulnerabilities cause irreparable damage to the information system, the security vulnerabilities are found and analyzed Full vulnerability, the formation of security vulnerability solutions to minimize the threat of security vulnerabilities to the information system.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"27 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":"122589807","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/IMCEC51613.2021.9482325
M. Wu, Hong Zhao
In recent years, the tourism field related websites are increasing day by day, the network has produced massive tourist generation data. Based on the semi-structured data of scenic spots, hotels and caterings on tourist websites and the travel notes published by tourists, this paper constructed the tourism knowledge graph. The extraction of entities from travel notes was faced with the problems of named entity recognition and entity alignment. In order to improve the accuracy of extracting entities from travel notes, in this paper, the named entity recognition model based on BiLSTM-CRF and the entity alignment model based on siamese network were proposed. F values can reach 90.8% and 93.0%, respectively.
{"title":"Research on Entity Recognition and Alignment Methods in Knowledge Graph Construction of Multi-source Tourism Data","authors":"M. Wu, Hong Zhao","doi":"10.1109/IMCEC51613.2021.9482325","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482325","url":null,"abstract":"In recent years, the tourism field related websites are increasing day by day, the network has produced massive tourist generation data. Based on the semi-structured data of scenic spots, hotels and caterings on tourist websites and the travel notes published by tourists, this paper constructed the tourism knowledge graph. The extraction of entities from travel notes was faced with the problems of named entity recognition and entity alignment. In order to improve the accuracy of extracting entities from travel notes, in this paper, the named entity recognition model based on BiLSTM-CRF and the entity alignment model based on siamese network were proposed. F values can reach 90.8% and 93.0%, respectively.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"51 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":"122829294","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/IMCEC51613.2021.9482030
Shihong Chen, Minghai Pan, Xudong Wang
Due to the complex and harsh electromagnetic environment, the accuracy of the parameter estimation of intercepted low signal-to-noise ratio (SNR) spaceborne synthetic aperture radar (SAR) radiation source linear frequency modulation (LFM) signals is not high; this paper proposes a method for joint parameter estimation of multiple received pulses submerged in Gaussian white noise. This method makes use of the coherence between multiple pulses of the received signal and cooperates with the short-time Fourier transform (STFT) and the robust ordinary least squares (ROLS) to effectively estimate the LFM signal parameters. Finally, the performance of the algorithm is verified by the simulation analysis method. Under the condition of a low SNR (-20 dB), the normalized root mean square error (NRMSE) of the starting frequency can reach 10-3; the NRMSE of the chirp rates of the intrapulse modulation characteristic parameter can reach 2 ×10-3. The comparison with other methods further proves the performance advantage of this method under a low SNR.
{"title":"A Method for Estimating the Parameters of Spaceborne Synthetic Aperture Radar LFM under a Low Signal-to-Noise Ratio","authors":"Shihong Chen, Minghai Pan, Xudong Wang","doi":"10.1109/IMCEC51613.2021.9482030","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482030","url":null,"abstract":"Due to the complex and harsh electromagnetic environment, the accuracy of the parameter estimation of intercepted low signal-to-noise ratio (SNR) spaceborne synthetic aperture radar (SAR) radiation source linear frequency modulation (LFM) signals is not high; this paper proposes a method for joint parameter estimation of multiple received pulses submerged in Gaussian white noise. This method makes use of the coherence between multiple pulses of the received signal and cooperates with the short-time Fourier transform (STFT) and the robust ordinary least squares (ROLS) to effectively estimate the LFM signal parameters. Finally, the performance of the algorithm is verified by the simulation analysis method. Under the condition of a low SNR (-20 dB), the normalized root mean square error (NRMSE) of the starting frequency can reach 10-3; the NRMSE of the chirp rates of the intrapulse modulation characteristic parameter can reach 2 ×10-3. The comparison with other methods further proves the performance advantage of this method under a low SNR.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"39 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":"122912947","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/IMCEC51613.2021.9481960
Zhiqing Yang, Hanmin Ye, Yingzhi Liu
the plant health status in the region is an important and challenging problem. Aiming at this problem, this paper based on the theory of acoustic emission plant disease stress theory, based on the wireless sensor network (WSN), gathering a wide range of outdoor plants of the acoustic emission signal, the advantage of the characteristics of plant of the acoustic emission signal, through the moving average filter processing, normalization, and similarity, plant health can be divided into health, disease in the early, middle and late four classes. The simulation results show that the method proposed in this paper can be used to accurately, quickly and reliably judge the plant health status in the region.
{"title":"Research on Plant Disease Detection Technology Based on Wireless Sensor Network","authors":"Zhiqing Yang, Hanmin Ye, Yingzhi Liu","doi":"10.1109/IMCEC51613.2021.9481960","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9481960","url":null,"abstract":"the plant health status in the region is an important and challenging problem. Aiming at this problem, this paper based on the theory of acoustic emission plant disease stress theory, based on the wireless sensor network (WSN), gathering a wide range of outdoor plants of the acoustic emission signal, the advantage of the characteristics of plant of the acoustic emission signal, through the moving average filter processing, normalization, and similarity, plant health can be divided into health, disease in the early, middle and late four classes. The simulation results show that the method proposed in this paper can be used to accurately, quickly and reliably judge the plant health status in the region.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"33 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114042261","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/IMCEC51613.2021.9482372
Yujie Tang, Yanxiong Liu
In order to solve the problem of matching the transmission ratio of the automobile power system, this paper selects a specific passenger car as the target model, and gives the expected maximum speed as the design target, and then compares the vehicle dynamics with the Newton Leibniz numerical calculation method The car carries out engine selection, transmission ratio design and calculation of performance parameters. The main calculation content includes engine external characteristic curve, driving force-driving resistance balance diagram, acceleration time curve, and the highest grade constant speed 100 km fuel consumption curve and different The C curve at the main reduction ratio, and finally the dynamic analysis of the matching of the car's transmission and the final reduction ratio, and the optimal transmission ratio scheme that meets the design goals is obtained.
{"title":"MATLAB-based Design and Performance Calculation of Transmission Ratio of a Passenger Vehicle","authors":"Yujie Tang, Yanxiong Liu","doi":"10.1109/IMCEC51613.2021.9482372","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482372","url":null,"abstract":"In order to solve the problem of matching the transmission ratio of the automobile power system, this paper selects a specific passenger car as the target model, and gives the expected maximum speed as the design target, and then compares the vehicle dynamics with the Newton Leibniz numerical calculation method The car carries out engine selection, transmission ratio design and calculation of performance parameters. The main calculation content includes engine external characteristic curve, driving force-driving resistance balance diagram, acceleration time curve, and the highest grade constant speed 100 km fuel consumption curve and different The C curve at the main reduction ratio, and finally the dynamic analysis of the matching of the car's transmission and the final reduction ratio, and the optimal transmission ratio scheme that meets the design goals is obtained.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"9 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":"129365839","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/IMCEC51613.2021.9482010
U. Patankar, A. Koel, Sunil Patankar, Miguel E. Flores
Today, the use of computers is very common and unavoidable almost in every field. The enhancement of the circuit integration process from micrometer scale to nanometer scale escalates the great demand for less costly and reliable embedded solutions. Computer systems, embedded systems, or electronic systems are very generalized in many working sectors like automotive, biomedical, communication, aviation, and transport industries. Thus to perform their work reliably, it is important to have sophisticated arithmetic and logical unit to perform its task intelligently. Many efforts have been made from the beginning to implement addition, subtraction, multiplication, and division type basic arithmetic operations electronically to provide a high computation quality. The division is critical and vital for a sophisticated and reliable computational system among all basic arithmetic operations, but the implementation of the divider is difficult due to its inherent properties. We have to derive division operation in terms of successive subtraction or multiplication formation. Electronic implementation of divider takes multiple clock cycles. A complex number is represented as a vector equivalent of a real number and an imaginary number; thus, we have to perform the same operation twice with more working conditions in complex number arithmetics. This criticality of complex division implementations leads to the use of software-based complex division whenever required, but the demand for complex numbers in various essential engineering application such as earth fault distance protection, acoustics pulse reflectometry, astronomy, non-linear radio frequency measurements, digital signal processing demands for a formulation of sophisticated and efficient operational and implementational algorithms for the complex number representation and computation in the central processing unit of microprocessors or embedded, computer, electronic systems. In this article, we explained the basic stages of complex division by Baudhayan Triplet algorithm using novel state of the art USP-Awadhoot divider. In this article, we explained the workflow of the Baudhayan Triplet algorithm for implementing complex division operations efficiently. The Baudhayan Triplet algorithm provides an area-efficient way of implementing a complex divider.
{"title":"Complex Division By Baudhayan Triplet Algorithm Using Novel State Of The Art USP-Awadhoot Divider","authors":"U. Patankar, A. Koel, Sunil Patankar, Miguel E. Flores","doi":"10.1109/IMCEC51613.2021.9482010","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482010","url":null,"abstract":"Today, the use of computers is very common and unavoidable almost in every field. The enhancement of the circuit integration process from micrometer scale to nanometer scale escalates the great demand for less costly and reliable embedded solutions. Computer systems, embedded systems, or electronic systems are very generalized in many working sectors like automotive, biomedical, communication, aviation, and transport industries. Thus to perform their work reliably, it is important to have sophisticated arithmetic and logical unit to perform its task intelligently. Many efforts have been made from the beginning to implement addition, subtraction, multiplication, and division type basic arithmetic operations electronically to provide a high computation quality. The division is critical and vital for a sophisticated and reliable computational system among all basic arithmetic operations, but the implementation of the divider is difficult due to its inherent properties. We have to derive division operation in terms of successive subtraction or multiplication formation. Electronic implementation of divider takes multiple clock cycles. A complex number is represented as a vector equivalent of a real number and an imaginary number; thus, we have to perform the same operation twice with more working conditions in complex number arithmetics. This criticality of complex division implementations leads to the use of software-based complex division whenever required, but the demand for complex numbers in various essential engineering application such as earth fault distance protection, acoustics pulse reflectometry, astronomy, non-linear radio frequency measurements, digital signal processing demands for a formulation of sophisticated and efficient operational and implementational algorithms for the complex number representation and computation in the central processing unit of microprocessors or embedded, computer, electronic systems. In this article, we explained the basic stages of complex division by Baudhayan Triplet algorithm using novel state of the art USP-Awadhoot divider. In this article, we explained the workflow of the Baudhayan Triplet algorithm for implementing complex division operations efficiently. The Baudhayan Triplet algorithm provides an area-efficient way of implementing a complex divider.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"32 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":"124759169","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/IMCEC51613.2021.9482162
Shan Xiao, Jie Huang, Long Xiao, Yang Jiao, ZhaoQiang Wang, Xuelei Wang
In order to ensure the smooth, reliable and safe driving process of intelligent driving cars, this paper analyzes the environmental information from the decision-making perception module of automatic driving and controls the car's own behavior to achieve the driving goal. The driving decision algorithm of intelligent vehicle based on reinforcement learning is given to ensure the safe driving of intelligent vehicle under complex constraints such as high speed, slip and roll. Through reinforcement learning, an iterative process of constantly interacting with the environment, getting rewards, updating strategies and then continuing to interact with the environment is given, and exploratory work is carried out by using reinforcement learning in TORCS simulator. Finally, the automatic driving system is built in simulink, and PreScan is used as the simulation environment for training and verification, which verifies the intelligent decision-making and control method of vehicles using reinforcement learning in the intelligent networked environment, and realizes the smooth, reliable and safe driving of intelligent vehicles.
{"title":"Research on Driving Decision of Smart Vehicles Based on Reinforcement Learning","authors":"Shan Xiao, Jie Huang, Long Xiao, Yang Jiao, ZhaoQiang Wang, Xuelei Wang","doi":"10.1109/IMCEC51613.2021.9482162","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482162","url":null,"abstract":"In order to ensure the smooth, reliable and safe driving process of intelligent driving cars, this paper analyzes the environmental information from the decision-making perception module of automatic driving and controls the car's own behavior to achieve the driving goal. The driving decision algorithm of intelligent vehicle based on reinforcement learning is given to ensure the safe driving of intelligent vehicle under complex constraints such as high speed, slip and roll. Through reinforcement learning, an iterative process of constantly interacting with the environment, getting rewards, updating strategies and then continuing to interact with the environment is given, and exploratory work is carried out by using reinforcement learning in TORCS simulator. Finally, the automatic driving system is built in simulink, and PreScan is used as the simulation environment for training and verification, which verifies the intelligent decision-making and control method of vehicles using reinforcement learning in the intelligent networked environment, and realizes the smooth, reliable and safe driving of intelligent vehicles.","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":"124785633","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/IMCEC51613.2021.9482149
Lin Li, Mai Li, Fang Qin, Weijia Zeng
Federated learning, as a distributed training framework of machine learning compared to the traditional training on a single, centralized dataset has been increasingly popular with advantages of addressing privacy, data ownership, data isolation and so on. One of the major challenges of federated learning framework is how to design model aggregation as data owners in the network may be different in data characteristics and communication delay which deceases training efficiency or even make the training invalid. To overcome these issues, we proposed a novel learning strategy based on evolutionary theory (EFEL) where we maintain a group of diversified models rather than a single, complex model and allow them to evolve independently. The proposed federated ensemble learning framework is evaluated on both benchmark and real-world databases and achieves better results than FedAvg and FedFS to train the state the art models in face recognition1
{"title":"Evolutionary-based Federated Ensemble Learning on Face Recognition","authors":"Lin Li, Mai Li, Fang Qin, Weijia Zeng","doi":"10.1109/IMCEC51613.2021.9482149","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482149","url":null,"abstract":"Federated learning, as a distributed training framework of machine learning compared to the traditional training on a single, centralized dataset has been increasingly popular with advantages of addressing privacy, data ownership, data isolation and so on. One of the major challenges of federated learning framework is how to design model aggregation as data owners in the network may be different in data characteristics and communication delay which deceases training efficiency or even make the training invalid. To overcome these issues, we proposed a novel learning strategy based on evolutionary theory (EFEL) where we maintain a group of diversified models rather than a single, complex model and allow them to evolve independently. The proposed federated ensemble learning framework is evaluated on both benchmark and real-world databases and achieves better results than FedAvg and FedFS to train the state the art models in face recognition1","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":"129432350","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/IMCEC51613.2021.9482095
Li Ding, Xuecheng Hu, Ge Xu
Standard Interactive Multimodal Model Algorithms (IMM) have problems such as poor model probability matching, slow model switching and poor tracking accuracy due to the use of fixed transition probability matrices. This paper presents an IMM algorithm to update the transition probability matrix adaptively. First, the prior information of the ground obstacles is added to the model probability update phase to improve the matching degree of the model probability. Secondly, the Markov transfer probability is corrected in real time by using the model likelihood function value to enhance the matching model and weaken the influence of the mismatch model. The simulation results show that the tracking accuracy of this method is significantly better than that of traditional IMM algorithm.
{"title":"An improved algorithm of Ground Moving Target Tracking based on Obstacle Information","authors":"Li Ding, Xuecheng Hu, Ge Xu","doi":"10.1109/IMCEC51613.2021.9482095","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482095","url":null,"abstract":"Standard Interactive Multimodal Model Algorithms (IMM) have problems such as poor model probability matching, slow model switching and poor tracking accuracy due to the use of fixed transition probability matrices. This paper presents an IMM algorithm to update the transition probability matrix adaptively. First, the prior information of the ground obstacles is added to the model probability update phase to improve the matching degree of the model probability. Secondly, the Markov transfer probability is corrected in real time by using the model likelihood function value to enhance the matching model and weaken the influence of the mismatch model. The simulation results show that the tracking accuracy of this method is significantly better than that of traditional IMM algorithm.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"38 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":"129794203","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/IMCEC51613.2021.9482112
Zili Yang, Ran Gao, Weihua He
Firstly, the problems and common methods of power system dynamic state estimation are briefly introduced, and then the basic principles of Kalman filtering are introduced. Based on this principle, the common methods of power system dynamic state estimation problems are derived: extended Kalman filter, unscented Kalman filter and cubature Kalman filter, which are introduced respectively. The advantages and disadvantages of these methods and their applications in power system dynamic state estimation are compared and analyzed. Finally, the development trend of Kalman filter in dynamic state estimation is prospected.
{"title":"A Review of The Research on Kalman Filtering in Power System Dynamic State Estimation","authors":"Zili Yang, Ran Gao, Weihua He","doi":"10.1109/IMCEC51613.2021.9482112","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482112","url":null,"abstract":"Firstly, the problems and common methods of power system dynamic state estimation are briefly introduced, and then the basic principles of Kalman filtering are introduced. Based on this principle, the common methods of power system dynamic state estimation problems are derived: extended Kalman filter, unscented Kalman filter and cubature Kalman filter, which are introduced respectively. The advantages and disadvantages of these methods and their applications in power system dynamic state estimation are compared and analyzed. Finally, the development trend of Kalman filter in dynamic state estimation is prospected.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"15 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":"123345091","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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