2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)最新文献_第4页

Microwave Imaging System Based on Synthetic Aperture Radar Algorithm 基于合成孔径雷达算法的微波成像系统

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082576

Yuxuan Liao, Zhongyuan Zhou, F. Tian

引用次数: 0

Estimation of Benchmark Period for PRF Jitter Signal Based on Cumulative Histogram 基于累积直方图的PRF抖动信号基准周期估计

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082153

Chai Heng, Zhang Ying-bo, Wang Jin-Feng

{"title":"Estimation of Benchmark Period for PRF Jitter Signal Based on Cumulative Histogram","authors":"Chai Heng, Zhang Ying-bo, Wang Jin-Feng","doi":"10.1109/ITNEC56291.2023.10082153","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082153","url":null,"abstract":"Aiming at signal of PRF jitter radar, the estimation of benchmark period from sparse observation with noise is researched in this paper. For that problem, Casey and Sadler proposed one algorithm called MEA (Modified Euclidean Algorithm), which can adapt to the pre-estimation of benchmark period of TOA sequence with noise when there is no deviation. That algorithm needs to conduct continuous differential calculation and employs the differential value when iteration stops as final estimation of benchmark period. When the observation sparse level is high and SNR is low, that algorithm may obtain ineffective estimation. Aiming at the characteristics of PRF jitter signal, this paper utilizes differential accumulation of each order of TOA sequence to conduct pre-estimation to its benchmark period. That both decreases the cumulative error and makes full use of information gain caused by large amount of jitter points, so as to achieve effective estimation to benchmark period under low SNR and period-noise ratio. Practical tests are conducted to jitter signal of navigation radar to validate the engineering feasibilty of the proposed algorithm.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114862309","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 high resolution and high frame rate image de-distortion algorithm based on FPGA 基于FPGA的高分辨率、高帧率图像去失真算法研究

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082176

Yuankai Zeng, Feng Xu, Yunxing Gong, Sijie Huang

引用次数: 0

Spontaneous transport of nanodroplets in 2D nanochannels 纳米液滴在二维纳米通道中的自发输运

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082500

Jun Yang, Yujuan Wang, Kedong Bi

引用次数: 0

Track Circuit Fault Diagnosis based on APSO-GMM 基于APSO-GMM的轨道电路故障诊断

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082174

Mengying Zhao, Fanghao Liu, Bo Sun, Qinghu Meng

引用次数: 0

Fine-Grained Egocentric Action Recognition with Multi-Modal Unsupervised Domain Adaptation 基于多模态无监督域自适应的细粒度自中心动作识别

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082267

Xianyuan Liu, Tao Lei, Ping Jiang

{"title":"Fine-Grained Egocentric Action Recognition with Multi-Modal Unsupervised Domain Adaptation","authors":"Xianyuan Liu, Tao Lei, Ping Jiang","doi":"10.1109/ITNEC56291.2023.10082267","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082267","url":null,"abstract":"Fine-grained egocentric action recognition has made significant progress because of the advancement of supervised learning. Some real-world applications require the network trained on one dataset to perform well on another unlabeled dataset due to the difficulty of annotating new data. However, due to the disparity in dataset distributions, i.e. domain shift, the network is unable to retain its good performance across datasets. Therefore, in this paper, we use unsupervised domain adaptation to address this difficult challenge, i.e. training a model on labeled source data such that it can be directly used on unlabeled target data with the same categories. First, we use Transformer to capture spatial information, and then we propose a temporal attention module to model temporal interdependence. In consideration of the fact that multi-modal data provides more kinds of important information, we build a tri-stream network for spatio-temporal information fusion. Finally, we align source data with target data using adversarial learning. Our network outperforms the baselines on the largest egocentric dataset, the EPIC-KITCHENS-100 dataset.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122111883","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: 1

Evaluation Method of Main Transformer Capacity Expansion Scheme in Power Supply Area of 500kV Substation 500kV变电站供电区主变扩容方案评价方法

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082241

Gaocai Yang, Xiaofan Su, Yuzheng Xie, Pingjiang Lu, Fula Hou

{"title":"Evaluation Method of Main Transformer Capacity Expansion Scheme in Power Supply Area of 500kV Substation","authors":"Gaocai Yang, Xiaofan Su, Yuzheng Xie, Pingjiang Lu, Fula Hou","doi":"10.1109/ITNEC56291.2023.10082241","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082241","url":null,"abstract":"With the development of the national economy, the power system load is increasing, and the capacity of the generator and the main transformer of the substation is also growing. It is necessary to increase the transformer capacity in the substation power supply area to ensure the power supply capacity of the substation. Based on the short-circuit calculation of the 500kV substation and the N-1 failure analysis of the main transformer, the security margin of the 500kV transformer load rate and the security index of short-circuit current of 220kV bus in the 500kV substation are proposed. Then the limit transmission capacity security margin of 220kV transmission lines in the power supply area and the standard deviation of the grid load of the 500kV main transformer after the expansion scheme adopted is calculated. The main transformer reorganization and expansion schemes are assessed comprehensively and objectively from the above four aspects. Finally, the effectiveness and adaptability of the proposed method are verified by a provincial power grid.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117184518","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

Analysis of Transmission Characteristics of Loosely Coupled Transformer with S-S Compensation Structure S-S补偿结构松耦合变压器传输特性分析

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082165

Zhenzhen Xie, Jieyu Wu, Kuang-wei Zhang, Xin L. Lu, Zefeng Xu, Bo Jin

引用次数: 0

Research on Simulation Evaluation Technology of Naval Gun Confrontation Training 海军火炮对抗训练仿真评估技术研究

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082108

Weiguang Zhao, Jianxing Han

引用次数: 0

Locking and Twisting Effect Simulation in ADAMS of Space Robot to Target Satellite Based on Uniform Design 基于均匀设计的空间机器人对目标卫星锁扭效应ADAMS仿真

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082236

Linjiang Huang, Xiaohong Yu, Jiejuan Wang, Xinling Li, Yijia Qu

引用次数: 0