2023 5th International Conference on Electronic Engineering and Informatics (EEI)最新文献_第10页

Design of graphene frequency reconfigurable antenna in terahertz band 太赫兹石墨烯频率可重构天线的设计

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212546

Ying Wang, Zhonghua Guo, Chunshu Li, Xiangda Yan

引用次数: 0

A Single Aircraft Intelligent Passive Location Processing Algorithm for Slow Moving Emitter 一种慢动辐射源单机智能无源定位处理算法

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212967

Siqiang Ma, X. Yang, Chao Peng, Zheyu Zhang

{"title":"A Single Aircraft Intelligent Passive Location Processing Algorithm for Slow Moving Emitter","authors":"Siqiang Ma, X. Yang, Chao Peng, Zheyu Zhang","doi":"10.1109/EEI59236.2023.10212967","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212967","url":null,"abstract":"When the traditional airborne passive reconnaissance and positioning system locates the slow-moving emitter in a single aircraft, many factors such as direction-finding time window and positioning angle will affect the positioning accuracy and convergence time of the system. It is difficult to select the optimal parameter combination for different emitter targets quickly. In order to solve this problem, a method for solving the optimal location parameters based on machine learning and intelligent optimization algorithm is studied. First of all, the model of typical slow moving target location on the sea surface is established based on the least square and sliding window processing methods, and the prediction model of location accuracy and convergence time is established using different machine learning algorithms such as support vector regression, random forest, and multi-layer perceptron; then, an optimization problem with the weighted positioning result evaluation function as the objective function and six direction-finding parameters as the decision variables is constructed and solved by using differential evolution algorithm; finally, the optimized parameters are used for positioning, and the positioning results are compared with the results before optimization. The verification results show that the proposed algorithm is better than the traditional algorithm for different targets and scenes.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116737516","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

Hardware Design and Optimization of Polynomial Multiplication for Post-Quantum Cryptography Algorithm Based on NTT 基于NTT的后量子密码算法中多项式乘法的硬件设计与优化

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212585

Xianwei Gao, Zishan Tian, Lian Xue

{"title":"Hardware Design and Optimization of Polynomial Multiplication for Post-Quantum Cryptography Algorithm Based on NTT","authors":"Xianwei Gao, Zishan Tian, Lian Xue","doi":"10.1109/EEI59236.2023.10212585","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212585","url":null,"abstract":"The Number Theoretical Transform (NTT) plays a crucial role in post-quantum cryptography algorithms, with its computational performance directly impacting system operating speed. This article proposes a high-performance NTT hardware architecture based on a pipeline architecture to address the challenges of lengthy computing processes and complex control logic in NTT hardware implementation. Firstly, a recursive NTT is advanced to simplify the calculation process and facilitate hardware implementation. Next, effective pipeline segmentation is applied to the computing process to reduce hardware architecture complexity. Finally, a two-stage butterfly operation is employed to implement butterfly elements, and the reduction calculation process is optimized using shift and addition, resulting in reduced hardware resource costs. The proposed NTT hardware architecture is implemented on Quartus II (EP2AGZ225FF35C3) taking the CRYSTALS-Kyber anti-quantum cryptography scheme as an example, since the selected prime number can meet requirements. Experimental results demonstrate that the proposed design outperforms other related designs in terms of computational performance and hardware overhead.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116905061","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

Differential diagnosis method for interlocking faults in distribution networks containing a high proportion of distributed power connections 高比例分布式电网联锁故障的鉴别诊断方法

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212537

Yiming Han, Jianfeng Gong, Bin Zhang

引用次数: 0

Metric Learning-Based Neural Network Model for Electromagnetic Compatibility Fault Diagnosis: An Application Study 基于度量学习的神经网络模型在电磁兼容故障诊断中的应用研究

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212985

Xiangguo Shen, Zhongyuan Zhou

{"title":"Metric Learning-Based Neural Network Model for Electromagnetic Compatibility Fault Diagnosis: An Application Study","authors":"Xiangguo Shen, Zhongyuan Zhou","doi":"10.1109/EEI59236.2023.10212985","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212985","url":null,"abstract":"With the growing prevalence of electronic equipment and the increasing severity of the electromagnetic environment, the likelihood of electromagnetic compatibility failures is on the rise. As a result, the difficulty of diagnosing EMC faults is also increasing. However, by employing neural networks in deep learning for EMC fault diagnosis, we can simplify and streamline the process of feature extraction and similarity analysis. Compared to traditional artificial feature extraction methods, neural networks can learn to measure the similarity between features more efficiently, resulting in more accurate diagnoses. To train the model, we obtain response data from each port of the electronic equipment system in a high radio frequency environment and pair it with the corresponding equipment fault status. However, due to the limited availability of labeled data, conventional neural networks are susceptible to overfitting. Therefore, we use a neural network model that is well-suited for few-shot learning, which is based on a metric learning approach. This approach enables the model to learn from a small amount of labeled data, making it more effective in diagnosing EMC faults.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124016821","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

Active Quenching and Reset Circuit for Geiger Mode Avalanche Photodiodes 盖革模式雪崩光电二极管的主动淬火和复位电路

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212643

Wanwan Xing, Anqi Hu, Xingye Zhou, Xia Guo

引用次数: 0

Short-Term PV Power Prediction Based on NGO-BILSTM 基于NGO-BILSTM的短期光伏发电预测

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212498

Jie Liu, Lanmei Cong, Hanchao Zhao, Ziyue Han, Zhengjie Li

引用次数: 0

Research on End-to-End Reliability Evaluation Index System of Power Backbone Optical Communication Network 电力骨干光通信网络端到端可靠性评估指标体系研究

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212530

Songping Xue, Dequan Gao, Zejing Guang, Liangsong Zhang, Wenjie Yao, Dawei Zhang

{"title":"Research on End-to-End Reliability Evaluation Index System of Power Backbone Optical Communication Network","authors":"Songping Xue, Dequan Gao, Zejing Guang, Liangsong Zhang, Wenjie Yao, Dawei Zhang","doi":"10.1109/EEI59236.2023.10212530","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212530","url":null,"abstract":"The power backbone optical communication network is a crucial infrastructure that supports the production control operations of the large power grid. Its ability to operate stably is vital for enhancing the reliability of the power grid operation. With the construction of new power systems and the increase in the volume of grid-carrying services, the composition and operation of the power backbone optical communication network are becoming increasingly complex. Therefore, we need a reasonable, objective, and comprehensive reliability evaluation system to systematically evaluate the end-to-end reliability of the power backbone optical communication network, timely identify potential instability factors, and guide the operation, maintenance, and optimization design of the network. In this paper, we conducted an analysis based on the topology structure of the power backbone optical communication network in Fujian Province and proposed a reliability evaluation index system consisting of six first-level indexes. These indexes include network operational performance, channel redundancy, equipment/fiber cable utilization, equipment health status, operation and maintenance, and comprehensive management statistics. To determine the weights of these indexes, we also conducted a questionnaire survey among experts in the field of power backbone optical communication networks. This index system is closely aligned with practical engineering and holds significant importance for the reliability evaluation of the power backbone optical communication network.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132872978","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

Application of VR Technology in Interactive Virtual Clothing Feature Extraction VR技术在交互式虚拟服装特征提取中的应用

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212864

Mingzhu Song, Zhaoxin Cui, Jiayi Ni

引用次数: 0

Design and Implementation of Configurable UART with Self-Test Function 具有自检功能的可配置UART的设计与实现

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212446

Yuelun Zhang, Zongguang Yu, Xiaogang Yang

引用次数: 0