Conference on Electronic Information Engineering and Data Processing最新文献_第10页

Intelligent broadband detection method of communication signal based on deep learning 基于深度学习的通信信号智能宽带检测方法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682343

Yongjian Xu, Keyong Wang, Zhipeng Zhang, Xiangyu Wu, Peng Ma, Changbo Hou

{"title":"Intelligent broadband detection method of communication signal based on deep learning","authors":"Yongjian Xu, Keyong Wang, Zhipeng Zhang, Xiangyu Wu, Peng Ma, Changbo Hou","doi":"10.1117/12.2682343","DOIUrl":"https://doi.org/10.1117/12.2682343","url":null,"abstract":"Aiming at the problem that multi-signal time-frequency domain overlapping is very likely to appear in the actual scene, it is difficult to identify, and a broadband signal intelligent detection method based on time-frequency analysis and target detection network is proposed. The communication signal is transformed into a time-frequency image, and the YOLOv5 network model is improved. Introduce the attention mechanism in the feature extraction network, highlight the signal area information, modify the K-Means clustering rules, recalculate the size of the prior frame, and use the improved model to study the time-frequency diagram of multiple signals overlapping. The results show that under different signal-to-noise ratios, the detection and parameter estimation of six types of random overlapping communication signals are realized. Overall, the signal detection probability reaches 94.74%, the false alarm probability is 2.86%, and the average error of parameter estimation is 2.15%. The analysis results in this paper can provide support for the rapid and effective detection of signals in practical applications.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125297717","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 comprehensive energy metering acquisition and monitoring based on feature detector 基于特征检测器的综合电能计量采集与监控研究

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682287

Yilong Li, Tao Xiao, Jiaying Wang, Xinze Han

{"title":"Research on comprehensive energy metering acquisition and monitoring based on feature detector","authors":"Yilong Li, Tao Xiao, Jiaying Wang, Xinze Han","doi":"10.1117/12.2682287","DOIUrl":"https://doi.org/10.1117/12.2682287","url":null,"abstract":"As an important direction of energy reform, comprehensive energy system has become the focus of research and attention in the world. Improving the efficiency of comprehensive energy utilization and bringing good social and economic benefits as well as social and environmental benefits is the only way for the country to achieve high-quality economic development, and it is also the current national policy. But what are the ways to use energy in a comprehensive way? So, in addition to improving the energy utilization rate of equipment, reduce the energy loss of each production link, but also need to take corresponding management measures and technology to reduce energy consumption. Based on this, the acquisition and detection of comprehensive energy can effectively promote the development of energy conservation, emission reduction and low-carbon economy. In this paper, for the comprehensive utilization of energy, a feature detector is introduced into the comprehensive energy system to monitor the comprehensive energy processing time cycle, power consumption and other performance parameters. Experimental results show that: under the condition of appropriate sensing threshold, the feature detector has a good time sensing effect, which is efficient and feasible for energy collection and monitoring. It also provides a theoretical basis for the supervision and use of the production energy management department, so that the management department can grasp the energy consumption situation of the enterprise at any time and make timely scheduling adjustment according to this.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114432736","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

Aspect-level sentiment classification based on aspect-oriented information and inter-aspect relations 基于面向方面信息和方面间关系的方面级情感分类

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682436

Luwen Zhang, Ming Liu

引用次数: 0

EMD decomposition-based signal denoising method for DC electrical methods 基于EMD分解的信号去噪方法用于直流电气方法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682604

Jingri Huo, Guofu Wang, Hongli Li

引用次数: 0

Optimization model for two-level microgrid operation with demand response 考虑需求响应的两级微电网运行优化模型

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682376

Kailang Gao

引用次数: 0

Dimension reduction algorithm of battlefield situation data based on local preserving discriminant projection 基于局部保持判别投影的战场态势数据降维算法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682527

Chuntian Hu, Ruini Wang

引用次数: 0

Knowledge graph-assisted collaborative filtering for course recommendation in Mooc 基于知识图谱的Mooc课程推荐协同过滤

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682468

Tieyuan Liu, Yi Chen, Liang Chang, Chuangying Zhu

{"title":"Knowledge graph-assisted collaborative filtering for course recommendation in Mooc","authors":"Tieyuan Liu, Yi Chen, Liang Chang, Chuangying Zhu","doi":"10.1117/12.2682468","DOIUrl":"https://doi.org/10.1117/12.2682468","url":null,"abstract":"Due to the Internet's tremendous expansion in recent years, quite a few students have started studying on massive open online course platforms. The information explosion of online education platforms makes it challenging for users to choose their courses effectively. The course recommendation system has become the most effective way for online education platforms to solve the above problems. One of the classic algorithms used in recommendation algorithms is collaborative filtering, but it also has many limitations: 1) Collaborative filtering is affected by cold start and sparsity easily; 2) Collaborative filtering needs to be used for rating information on courses, but the real user data in the online education platform basically does have user rating information on courses nearly, so it is challenging to apply collaborative filtering in the field of course recommendation. So, we propose an algorithm and define a formula to calculate the user's degree of interest (rating) to the course based on the user's interaction information in this paper. It adopts the knowledge graph embedding representation learning method to embed the semantic information of the course into the low-dimensional semantic space, and then use the similarity calculation formula to get the acquaintance between users according to the embedded expression and perform collaborative filtering calculation. Our method is compared with user-based collaborative filtering and item-based collaborative filtering and the model is effective on real data, according to experimental results.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131576539","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

Identification of self-synchronous scrambler of error-correcting codes under BER conditions 误码率条件下纠错码自同步扰频器的识别

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682289

Jiyuan Tan, Zhaogen Zhong, Jie Jiang

引用次数: 0

Information selection optimized design of distributed GRS codes in coded cooperative communication 编码协作通信中分布式GRS码的信息选择优化设计

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682318

Jiajun Ma, Fengfan Yang

引用次数: 0

Real-time image processing of space camera based on FPGA 基于FPGA的空间相机实时图像处理

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682281

Jia Xin Duan, H. Zhang, Shun Zhou, Ji Jiang Huang

引用次数: 0