2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)最新文献_第4页

Finite Element Analysis of Flange System Compactness 法兰系统紧凑性的有限元分析

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930327

Rong Wang, Anqing Shu, K. Ding, Long Wu, Wen Wang, Xin Dang

引用次数: 0

Research on Over-voltage Protection Strategy of Series Compensation Device 串联补偿装置过电压保护策略研究

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930279

Tang Cui, Xu Qi, Song Leiming

{"title":"Research on Over-voltage Protection Strategy of Series Compensation Device","authors":"Tang Cui, Xu Qi, Song Leiming","doi":"10.1109/AICIT55386.2022.9930279","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930279","url":null,"abstract":"The series compensation device can use the series capacitance resistance to compensate for the partial inductive resistance of the transmission line, which plays an important role in effectively improving the line transmission capacity, increasing the safety and stability level of the system and suppressing the system oscillation. However, when the short circuit fault occurs in the system, the short circuit current of the system will cause large overvoltage on both sides of the capacitor, and then damage the equipment, and directly affects the safe operation of the string complement device, so it is necessary to study the overvoltage protection of the string supplement device. This paper introduces the principle of MOV overvoltage protection, and builds a 500kV transmission grid model with fixed string supplement device by using PSCAD simulation software. On this basis, the MOV overvoltage protection characteristics of series compensation device are analyzed, and finally the influence of different fault types and fault position on MOV energy demand is explored, which provides a reference for the overvoltage protection design of series compensation device.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127381590","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}

引用次数: 0

Double Clustering Based Kriging Algorithm for foF2 Reconstruction 基于双聚类的Kriging算法的foF2重构

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930291

Jia Hu, Li Cheng, Wang Li

{"title":"Double Clustering Based Kriging Algorithm for foF2 Reconstruction","authors":"Jia Hu, Li Cheng, Wang Li","doi":"10.1109/AICIT55386.2022.9930291","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930291","url":null,"abstract":"Ionospheric cut-off frequency (foF2) soundings have important implications in areas such as wireless communications and military aerospace. During periods of high solar activity, the accuracy of ionospheric foF2 acquisition as well as reconstruction decreases as solar activity intensifies. In this paper, an improved general Kriging interpolation algorithm is proposed, which takes into account the sudden changes in ionospheric electron concentration (TEC) during high-intensity solar flares and the west-to-east shift in geographic location. The remaining high-quality site information was used to reconstruct the foF2 at the site to be measured by Kriging. The remaining good site information is used to reconstruct the foF2 at the site to be measured by Kriging. In this paper, real-time ionospheric data from the Global Ionospheric Radio Observatory (GIRO) during solar flares are used to analyze the ionospheric foF2 reconstruction results for the three weeks before, during and after the solar flare frequency, and three sites at mid and low latitudes are clustered - Kriging algorithm and ordinary Kriging The improved clustering-Kriging method is validated to be superior during solar flares. The improved algorithm has significantly improved the foF2 interpolation accuracy at low latitudes compared to the ordinary Kriging algorithm.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130360058","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}

引用次数: 0

An Improved Algorithm for Defogging Based on Fused Underwater Images 基于融合的水下图像去雾改进算法

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930307

Xinli Cao, Junqiao Xiong, Yuxin Shang, Changrui Liu, Lianying Zou

引用次数: 0

Design and Implementation of Fire Monitoring and Warning User Terminal System 火灾监控报警用户终端系统的设计与实现

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930268

Cui Yancheng, Wang Liheng

引用次数: 0

Research on control of two-stage three-phase photovoltaic grid-connected inverter 两级三相光伏并网逆变器控制研究

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930245

Zhengfang Cao, Weibing Hu, Weihua Jiang

引用次数: 1

Research and Improvement of Beamforming Algorithm for Low Signal-to-Noise Ratio and Low Sampling Points 低信噪比低采样点波束形成算法的研究与改进

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930151

Han Zhang, Li Cheng, Yang Li

{"title":"Research and Improvement of Beamforming Algorithm for Low Signal-to-Noise Ratio and Low Sampling Points","authors":"Han Zhang, Li Cheng, Yang Li","doi":"10.1109/AICIT55386.2022.9930151","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930151","url":null,"abstract":"When the power of the input signal is small and there are noise and interference components in the system, a low signal-to-noise ratio will occur, affecting the output of the entire system. Especially when beamforming is used in combination with eigen decomposition, the signal and the subspace obtained by matrix decomposition has errors, resulting in mismatch of the steering vectors obtained by such methods. In addition, the performance the beamformer will be seriously degraded due to the error of the sampled data and the components of the desired signal, the limited number of sampling points, and the disturbance of the array. Based on the method of steering vector estimation, this paper proposes a new beamforming algorithm, which can effectively solve the problem of steering vector mismatch caused by subspace errors. First, the algorithm estimates the sampling covariance matrix. Then, extracting the interference steering vector to reconstruct the interference plus noise covariance matrix in a discrete manner. Finally, using the maximum correlation coefficient to optimize the steering vector of the signal of interest. The simulation results show that the performance of the beamformer is better than that of most classical algorithms under the condition of low signal-to-noise ratio and low number of sampling points. When there is array perturbation, the beamformer has high robustness and strong practicability.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"47 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115944822","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}

引用次数: 0

Research on custom modeling and Simulation of STATCOM based on PSCAD 基于PSCAD的STATCOM自定义建模与仿真研究

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930304

Hengxuan Li, Gang Yang, Kanjun Zhang, Binxin Fu, Yongxin Chen

引用次数: 0

An Improved Method for Brightness Preserving Dynamic Histogram Equalization 一种改进的保亮度动态直方图均衡化方法

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930196

Fan Yang, Renjie Li

{"title":"An Improved Method for Brightness Preserving Dynamic Histogram Equalization","authors":"Fan Yang, Renjie Li","doi":"10.1109/AICIT55386.2022.9930196","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930196","url":null,"abstract":"Histogram equalization is an effective image enhancement method for improving image contrast, and several equalization methods have been developed. Brightness-preserving dynamic histogram equalization (BPDHE) is a sub-histogram-based equalization method, and there is scope for optimising the performance of BPDHE in the segmentation process of some image histograms and in maintaining image structure and information entropy. Therefore, this paper presents a method to improve BPDHE. First, the image is subjected to bilinear interpolation. Then, the probability density function of the grey level of the image is divided into two parts according to its mean value. Finally, different methods are used to find local maximums for each of these two parts. In this paper, Absolute Mean Brightness Error (AMBE), Structure Similarity Index Measure (SSIM), Information Entropy (Entropy) and Peak Signal to Noise Ratio (PSNR) are used to compare with the different methods. The results show that the method proposed in this paper effectively enhances the contrast of the image while preserving the image brightness. In the average of evaluation metrics of the sample images, SSIM, Entropy and PSNR were 0.219, 2.0811 and 6.6201 higher than those of BPDHE, respectively.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117152521","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}

引用次数: 0

Infrared Sequence Simulation Method for Aerial Moving Platform Target Scene 航空移动平台目标场景红外序列仿真方法

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930171

Wei Gong, Tianxu Zhang, Jianwei Liu, Yuhan Zhang

引用次数: 0