Weather radar simulation technology has many applications in civil aviation, military and other fields. Using the emulator, weather radar signals from the past can be observed repeatedly. With the development of electronic circuit technology, weather radar emulators develop to a faster response speed. This paper introduces a weather radar emulator based on DDS technology and details its design and realization. The test results show that the system can output the waveform specified by the upper computer and drive the upper computer to produce weather radar images.
{"title":"Weather radar emulator based on DDS technology","authors":"Chuhua Li, Y. Li","doi":"10.1117/12.2689670","DOIUrl":"https://doi.org/10.1117/12.2689670","url":null,"abstract":"Weather radar simulation technology has many applications in civil aviation, military and other fields. Using the emulator, weather radar signals from the past can be observed repeatedly. With the development of electronic circuit technology, weather radar emulators develop to a faster response speed. This paper introduces a weather radar emulator based on DDS technology and details its design and realization. The test results show that the system can output the waveform specified by the upper computer and drive the upper computer to produce weather radar images.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114730116","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}
In multi-attribute decision making, the aggregation method of each attribute value is always one of the core issues of research. This paper presents a novel aggregation operator as the further study to ICOWA operator. Firstly, the paper gives the method of converting interval number into binary connection number, and achieves the ranking of interval number by calculating the set pair potential of binary connection number. On this basis, a new induced interval number weighted averaging operator based on set pair potential (SP-ICOWA) is given, and it is proved that this operator has good properties such as boundedness, idempotence, commutativity. Finally, an example of the evaluation of the fire fighting capability of a ship is given. The continuous ordered weighted averaging operator (COWA) and SP-ICOWA are both used to calculate the fire fighting capability of a ship, the result manifests the feasibility and validity of SP-ICOWA operator.
{"title":"Induced continuous ordered weighted averaging aggregation operator to interval numbers based on set pair potentials","authors":"Ping Xiong, Huabin Cheng","doi":"10.1117/12.2689372","DOIUrl":"https://doi.org/10.1117/12.2689372","url":null,"abstract":"In multi-attribute decision making, the aggregation method of each attribute value is always one of the core issues of research. This paper presents a novel aggregation operator as the further study to ICOWA operator. Firstly, the paper gives the method of converting interval number into binary connection number, and achieves the ranking of interval number by calculating the set pair potential of binary connection number. On this basis, a new induced interval number weighted averaging operator based on set pair potential (SP-ICOWA) is given, and it is proved that this operator has good properties such as boundedness, idempotence, commutativity. Finally, an example of the evaluation of the fire fighting capability of a ship is given. The continuous ordered weighted averaging operator (COWA) and SP-ICOWA are both used to calculate the fire fighting capability of a ship, the result manifests the feasibility and validity of SP-ICOWA operator.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123627958","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}
Wenshan Xiao, Jun Wu, Zihui Guo, Wenxin Huang, Zichen Liu
An improved K-means clustering algorithm based on the initial clustering center is used to cluster the charging data of electric vehicles. The multi-classification method is studied, and the clustering effect of different number of clusters is analyzed with the contour coefficient as the evaluation standard. The simulation results show that this method can properly cluster the group characteristics of electric vehicles
{"title":"EV aggregation modeling based on improved K-means","authors":"Wenshan Xiao, Jun Wu, Zihui Guo, Wenxin Huang, Zichen Liu","doi":"10.1117/12.2689418","DOIUrl":"https://doi.org/10.1117/12.2689418","url":null,"abstract":"An improved K-means clustering algorithm based on the initial clustering center is used to cluster the charging data of electric vehicles. The multi-classification method is studied, and the clustering effect of different number of clusters is analyzed with the contour coefficient as the evaluation standard. The simulation results show that this method can properly cluster the group characteristics of electric vehicles","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122580316","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}
Wind power generation is in a period of rapid development due to its mature technology and environmental friendliness. Wind turbine is the main equipment for wind power generation, and the performance of its gearbox determines the stability and economy of power generation. This paper introduces the changes of installed capacity in various stages of wind power generation in the world, analyzes the common failure forms of wind turbine gearboxes, and on this basis, studies the failure parts and main causes, and further puts forward preventive measures for the failure forms of gearboxes, which can provide reference for wind farm personnel to carry out maintenance of wind turbines
{"title":"Research on failure and prevention of wind turbine gearbox","authors":"Xiuqi Zhang, Shuai Yuan, Liqiang Wang","doi":"10.1117/12.2689877","DOIUrl":"https://doi.org/10.1117/12.2689877","url":null,"abstract":"Wind power generation is in a period of rapid development due to its mature technology and environmental friendliness. Wind turbine is the main equipment for wind power generation, and the performance of its gearbox determines the stability and economy of power generation. This paper introduces the changes of installed capacity in various stages of wind power generation in the world, analyzes the common failure forms of wind turbine gearboxes, and on this basis, studies the failure parts and main causes, and further puts forward preventive measures for the failure forms of gearboxes, which can provide reference for wind farm personnel to carry out maintenance of wind turbines","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130125737","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}
Xia Li, Xiang Xue, Ran Liu, Qingxin Liu, Chang Yuan
The power imbalance between the source and the load is aggravated by the large number of new energy connections. Electric Spring (ES) can adjust the load side. Due to the limited capacity of a single power spring, it is necessary to install multiple power spring support system voltages in the power grid. However, multiple power springs need coordinated control methods to ensure their stable operation. In this paper, a coordinated control method for multiple power springs is proposed to optimize the voltage of the grid-connected points. First, the phenomenon of voltage deviation at each gridconnected point is analyzed. Then, according to the two-port impedance model of the power spring, an optimization model for the voltage deviation at the grid-connected point of the power spring is proposed, and solved by the particle swarm optimization algorithm. Finally, the coordinated control method for multiple power springs is given. The proposed method effectively reduces the voltage deviation of the grid connection point and enables the power spring to remain stable when the system voltage fluctuation is large. Finally, the validity of the proposed method is verified by PSACD simulation.
{"title":"Multi-electric springs coordinated control method for grid voltage optimization","authors":"Xia Li, Xiang Xue, Ran Liu, Qingxin Liu, Chang Yuan","doi":"10.1117/12.2689813","DOIUrl":"https://doi.org/10.1117/12.2689813","url":null,"abstract":"The power imbalance between the source and the load is aggravated by the large number of new energy connections. Electric Spring (ES) can adjust the load side. Due to the limited capacity of a single power spring, it is necessary to install multiple power spring support system voltages in the power grid. However, multiple power springs need coordinated control methods to ensure their stable operation. In this paper, a coordinated control method for multiple power springs is proposed to optimize the voltage of the grid-connected points. First, the phenomenon of voltage deviation at each gridconnected point is analyzed. Then, according to the two-port impedance model of the power spring, an optimization model for the voltage deviation at the grid-connected point of the power spring is proposed, and solved by the particle swarm optimization algorithm. Finally, the coordinated control method for multiple power springs is given. The proposed method effectively reduces the voltage deviation of the grid connection point and enables the power spring to remain stable when the system voltage fluctuation is large. Finally, the validity of the proposed method is verified by PSACD simulation.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129505534","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}
In distributed passive localization and tracking system, the track observed by the subsystem seems like Brownian motion track, because the tracked target is non-cooperative target and its maneuver is often complex, and the localization accuracy is poor. These track characteristics will seriously disturb track association between different subsystems. In order to solve this problem, the track to track association algorithm based on empirical mode decomposition (EMD) is proposed in this article. To lessen the impact of target placement and maneuvering mistakes, components that do not follow the track trend are removed from each dimension of the track recorded by each sub-system. The track motion trend vector is formed using the remaining low-frequency components as track characteristics, and the relevant correlation criteria are created. The track association between sub-systems is ultimately finished since the correlation threshold is self-adaptive and does not require the creation of a motion model. Results from simulations indicate that the suggested method is capable of successfully completing the track connection in passive systems
{"title":"Track association based on the empirical mode decomposition in passive localization","authors":"Kai Lu, Chundong Qi","doi":"10.1117/12.2689576","DOIUrl":"https://doi.org/10.1117/12.2689576","url":null,"abstract":"In distributed passive localization and tracking system, the track observed by the subsystem seems like Brownian motion track, because the tracked target is non-cooperative target and its maneuver is often complex, and the localization accuracy is poor. These track characteristics will seriously disturb track association between different subsystems. In order to solve this problem, the track to track association algorithm based on empirical mode decomposition (EMD) is proposed in this article. To lessen the impact of target placement and maneuvering mistakes, components that do not follow the track trend are removed from each dimension of the track recorded by each sub-system. The track motion trend vector is formed using the remaining low-frequency components as track characteristics, and the relevant correlation criteria are created. The track association between sub-systems is ultimately finished since the correlation threshold is self-adaptive and does not require the creation of a motion model. Results from simulations indicate that the suggested method is capable of successfully completing the track connection in passive systems","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128553792","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}
Tao Lu, Yongwang Zhang, Jie Zhang, Wen Zhao, Qizhang Xu
To improve the performance of high-frequency information acquisition data processing and meet the differentiated power service requirements in low-voltage distribution grid, this paper first investigates an edge processing architecture for high-frequency information acquisition in low-voltage distribution grid. Then, an edge processing mechanism for high-frequency information acquisition is proposed to optimize the high-frequency information acquisition data distribution strategy and communication and computation resource allocation strategies. Simulation results demonstrate that the proposed mechanism achieves better data processing performances compared with traditional data processing mechanism
{"title":"Edge processing mechanism for high-frequency information acquisition in low-voltage distribution grid","authors":"Tao Lu, Yongwang Zhang, Jie Zhang, Wen Zhao, Qizhang Xu","doi":"10.1117/12.2689389","DOIUrl":"https://doi.org/10.1117/12.2689389","url":null,"abstract":"To improve the performance of high-frequency information acquisition data processing and meet the differentiated power service requirements in low-voltage distribution grid, this paper first investigates an edge processing architecture for high-frequency information acquisition in low-voltage distribution grid. Then, an edge processing mechanism for high-frequency information acquisition is proposed to optimize the high-frequency information acquisition data distribution strategy and communication and computation resource allocation strategies. Simulation results demonstrate that the proposed mechanism achieves better data processing performances compared with traditional data processing mechanism","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465120","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}
As 5G communication networks are now putting into commercialization, technologies for 6G communications assisted by intelligent reflecting surface (IRS) are also being explored in order to obtain faster and more reliable data transmissions. This paper studies the weighted sum-rate (WSR) maximization problem of users in an IRS-aided multiuser multiple-input single-output (MISO) downlink communication system. Aiming at the above problem, we propose a low-complexity linear alternating direction multiplier method (LADMM) that can be operated in parallel to solve this problem. The numerical results show that only adjusting the parameters in the proposed algorithm can make the user's WSR have better performance.
{"title":"A low-complexity algorithm for maximizing the weighted sum-rate of intelligent reflecting surface aided wireless communication","authors":"Shanjie Cai, Yajun Wang","doi":"10.1117/12.2689903","DOIUrl":"https://doi.org/10.1117/12.2689903","url":null,"abstract":"As 5G communication networks are now putting into commercialization, technologies for 6G communications assisted by intelligent reflecting surface (IRS) are also being explored in order to obtain faster and more reliable data transmissions. This paper studies the weighted sum-rate (WSR) maximization problem of users in an IRS-aided multiuser multiple-input single-output (MISO) downlink communication system. Aiming at the above problem, we propose a low-complexity linear alternating direction multiplier method (LADMM) that can be operated in parallel to solve this problem. The numerical results show that only adjusting the parameters in the proposed algorithm can make the user's WSR have better performance.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"GE-25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126568944","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}
Duo to the wide band gaps, fast saturated electron drift velocities and high breakdown electric field strength of the silicon carbide (SiC), it is an appropriate candidate to develop power supplies working in high temperature and high voltage environments. Usually, the requirement on the reliability of these devices is much higher than those of the universal power supplies. Based on the real device structure of the 4H-SiC MOSFET, the output characteristic is simulated with TCAD package and verified by comparing with the testing results from the datasheet, which provides the data set for training BP neural network. Furthermore, an BP neural network is trained to predict the output characteristics of the MOSFET. Agreement between the predicted characteristics and real characteristics is achieved. The trained neural network can be easily integrated in embedded system and provides the possibility for health monitoring and fault diagnosis based on artificial intelligence.
{"title":"Characteristics prediction on SiC MOSFET implemented with BP neural network","authors":"Jiuxu Song, Yaoshuai Yang","doi":"10.1117/12.2689736","DOIUrl":"https://doi.org/10.1117/12.2689736","url":null,"abstract":"Duo to the wide band gaps, fast saturated electron drift velocities and high breakdown electric field strength of the silicon carbide (SiC), it is an appropriate candidate to develop power supplies working in high temperature and high voltage environments. Usually, the requirement on the reliability of these devices is much higher than those of the universal power supplies. Based on the real device structure of the 4H-SiC MOSFET, the output characteristic is simulated with TCAD package and verified by comparing with the testing results from the datasheet, which provides the data set for training BP neural network. Furthermore, an BP neural network is trained to predict the output characteristics of the MOSFET. Agreement between the predicted characteristics and real characteristics is achieved. The trained neural network can be easily integrated in embedded system and provides the possibility for health monitoring and fault diagnosis based on artificial intelligence.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129168218","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}
Huijuan Fu, Xiaoqi Xi, Yu Han, Linlin Zhu, Mengnan Liu, Siyu Tan, Chang Liu, Lei Li, Bin Yan
X-ray tomographic imaging has become an important analytical tool with a wide range of applications. It is inevitable that noise is introduced in CT images, and noise reduction is necessary. To solve this problem, we considered to use the nonlocal property of similar block search and proposed a deep learning network based on similar block learning for noise reduction of micro CT short exposure time scanned images to improve the scanning efficiency while ensuring high quality imaging. The method uses the output of the nonlocal method as a data preprocessing algorithm by combining a nonlocal block matching algorithm with a convolutional neural network, and uses a residual channel attention mechanism to learn the features after feature extraction, which reduces noise while preserving image details. Experimental results show that the method can remove noise from CT images quickly and effectively, and compared with the classical CPCE noise reduction method, the method improves the PSNR index by 1.52 dB, which is consistent with the theoretical assumption.
{"title":"A study on low-dose CT image denoising method based on similar block learning","authors":"Huijuan Fu, Xiaoqi Xi, Yu Han, Linlin Zhu, Mengnan Liu, Siyu Tan, Chang Liu, Lei Li, Bin Yan","doi":"10.1117/12.2689480","DOIUrl":"https://doi.org/10.1117/12.2689480","url":null,"abstract":"X-ray tomographic imaging has become an important analytical tool with a wide range of applications. It is inevitable that noise is introduced in CT images, and noise reduction is necessary. To solve this problem, we considered to use the nonlocal property of similar block search and proposed a deep learning network based on similar block learning for noise reduction of micro CT short exposure time scanned images to improve the scanning efficiency while ensuring high quality imaging. The method uses the output of the nonlocal method as a data preprocessing algorithm by combining a nonlocal block matching algorithm with a convolutional neural network, and uses a residual channel attention mechanism to learn the features after feature extraction, which reduces noise while preserving image details. Experimental results show that the method can remove noise from CT images quickly and effectively, and compared with the classical CPCE noise reduction method, the method improves the PSNR index by 1.52 dB, which is consistent with the theoretical assumption.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132676319","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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